recognizer,\\n Object offendingSymbol, int line, int charPositionInLine,\\n String msg, RecognitionException e) {\\n ResolveToken offendingToken = (ResolveToken) offendingSymbol;\\n String input;\\n if (recognizer == null) {\\n input = offendingToken.getTokenSource().getInputStream().toString();\\n }\\n else {\\n CommonTokenStream src =\\n (CommonTokenStream) recognizer.getInputStream();\\n input = src.getTokenSource().getInputStream().toString();\\n }\\n String[] lines = input.split(\\\"\\\\n\\\");\\n String errorLine = lines[line - 1].replaceAll(\\\"\\\\t\\\", \\\" \\\");\\n\\n // Obtain the location from the token if it is not null\\n Location location = null;\\n if (offendingToken != null) {\\n location = offendingToken.getLocation();\\n }\\n\\n String errorMsg = buildErrorMsg(charPositionInLine, errorLine, msg);\\n myStatusHandler.error(location, errorMsg);\\n }\",\n \"public void unrecovered_syntax_error(Symbol s) throws java.lang.Exception\\n { \\n String lexema = s.value.toString();\\n int fila = s.right;\\n int columna = s.left;\\n \\n System.out.println(\\\"!!!!!!! Error Sintactico, Panic Mode !!!!!!! \\\");\\n System.out.println(\\\"\\\\t\\\\tLexema: \\\"+lexema);\\n System.out.println(\\\"\\\\t\\\\tFila: \\\"+fila);\\n System.out.println(\\\"\\\\t\\\\tColumna: \\\"+columna);\\n \\n lista_errores.add(new ErrorT(lexema, fila, columna,\\\"sintactico\\\" ,\\\"Simbolo no esperado, Panic Mode\\\"));\\n }\",\n \"public void displayGraphErrMsg(String message) {\\r\\n \\t\\t// per ora faccio printare nell'output, assolutamente provvisorio.\\r\\n \\t\\tSystem.out.println(\\\"message = \\\" + message);\\r\\n \\t}\",\n \"@Override\\n public String visit(SimpleName n, Object arg) {\\n return null;\\n }\",\n \"@Override\\n public String visit(AssertStmt n, Object arg) {\\n return null;\\n }\",\n \"@Override\\n\\tpublic void VisitErrorNode(LegacyErrorNode Node) {\\n\\n\\t}\",\n \"@Override\\n public String visit(Name n, Object arg) {\\n return null;\\n }\",\n \"@Override\\n public String visit(ModuleDeclaration n, Object arg) {\\n return null;\\n }\",\n \"public SemanticException(MkdObject name)\\n {\\n super(\\\"Semantic Error: No definition found for macro name: \\\" + name.getData());\\n }\",\n \"@Test(timeout = 4000)\\n public void test367() throws Throwable {\\n XmlEntityRef xmlEntityRef0 = new XmlEntityRef(\\\"W,eg{\\\");\\n // Undeclared exception!\\n try { \\n xmlEntityRef0.label();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n }\\n }\",\n \"@Override\\n\\tpublic String visitExpression(ExpressionContext ctx) {\\n\\t\\tif(ctx.getChildCount() == 3){\\n\\t\\t\\treturn visit(ctx.getChild(1));\\n\\t\\t}\\n\\t\\tParseTree cur = ctx.getChild(0);\\n\\t\\tif(!(cur instanceof TerminalNode)){\\n\\t\\t\\treturn visit(cur);\\n\\t\\t}\\n\\t\\telse if(cur == ctx.ID()){\\n\\t\\t\\tString key=visitTerminal((TerminalNode)cur);\\n\\t\\t\\tRecord id= table.lookup(key);\\n\\t\\t\\tif (id==null) throw new RuntimeException(\\\"Identifier \\\"+key+\\\" is not declared\\\");\\t\\t\\t\\t\\t\\n\\t\\t\\treturn id.getReturnType();\\n\\t\\t}\\n\\t\\telse if (cur==ctx.BOOLEANLIT()) return \\\"boolean\\\";\\n\\t\\telse if (cur==ctx.STRING()) return \\\"String\\\";\\n\\t\\treturn null;\\n\\t}\",\n \"@Override\\n public String visit(VarType n, Object arg) {\\n return null;\\n }\",\n \"public void printError(String arg0) {\\n\\n }\",\n \"@Override\\n\\tprotected String generateMessage() {\\n\\t\\treturn \\\"Script evaluation exception \\\" + generateSimpleMessage();\\n\\t}\",\n \"@Test\\n public void test059() throws Throwable {\\n ErrorPage errorPage0 = new ErrorPage();\\n // Undeclared exception!\\n try {\\n String string0 = errorPage0.message(\\\"0K~@:tT\\\");\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n }\\n }\",\n \"private void errorCheck( Token token, String kind ) {\\n if( ! token.isKind( kind ) ) {\\n System.out.println(\\\"Error: expected \\\" + token + \\\" to be of kind \\\" + kind );\\n System.exit(1);\\n }\\n }\",\n \"public Code visitStatementErrorNode(StatementNode.ErrorNode node) {\\n errors.fatal(\\\"PL0 Internal error: generateCode for Statement Error Node\\\",\\n node.getLocation());\\n return null;\\n }\",\n \"@Override\\n\\tpublic void fatal(Marker marker, String message, Object p0) {\\n\\n\\t}\",\n \"@Override\\r\\n public String toString() {\\r\\n String s = \\\"Unknown Error\\\";\\r\\n String message = getLocalizedMessage();\\r\\n return (message != null) ? (message) : s;\\r\\n }\",\n \"@Test(timeout = 4000)\\n public void test036() throws Throwable {\\n XPathLexer xPathLexer0 = new XPathLexer();\\n xPathLexer0.consume((-91));\\n // Undeclared exception!\\n try { \\n xPathLexer0.relationalOperator();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n }\\n }\",\n \"public Code visitErrorExpNode(ExpNode.ErrorNode node) { \\n errors.fatal(\\\"PL0 Internal error: generateCode for ErrorExpNode\\\",\\n node.getLocation());\\n return null;\\n }\",\n \"@Test\\n public void test078() throws Throwable {\\n ErrorPage errorPage0 = new ErrorPage();\\n // Undeclared exception!\\n try {\\n Component component0 = errorPage0.title(\\\"%n.Is\\\");\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n }\\n }\",\n \"public String getMessage() {\\n return null;\\n }\",\n \"public static void printIndexInputNotDetectedError() {\\n botSpeak(Message.INDEX_INPUT_NOT_DETECTED_ERROR);\\n }\",\n \"public String getParseErrorMessage();\",\n \"@Test(timeout = 4000)\\n public void test033() throws Throwable {\\n XPathLexer xPathLexer0 = new XPathLexer();\\n xPathLexer0.consume((-3572));\\n // Undeclared exception!\\n try { \\n xPathLexer0.whitespace();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test038() throws Throwable {\\n XPathLexer xPathLexer0 = new XPathLexer();\\n xPathLexer0.consume((-2535));\\n // Undeclared exception!\\n try { \\n xPathLexer0.or();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n }\\n }\",\n \"public static void infoln(Object message) {\\n\\t\\tSystem.out.println(message);\\n\\t}\",\n \"@Override\\n public String visit(ThrowStmt n, Object arg) {\\n return null;\\n }\",\n \"@Override\\n\\tpublic void fatal(Marker marker, CharSequence message) {\\n\\n\\t}\",\n \"@Override\\r\\n\\tpublic String getMessage() {\\n\\t\\treturn \\\"홀수입력 !!\\\";\\r\\n\\t}\",\n \"default void msg()\\n {\\n System.out.println(\\\"Default method...\\\");\\n }\",\n \"private static void tokenError(Token token, String message) {\\r\\n\\t\\tSystem.out.println(\\\"TOKEN ERROR at line \\\" + token.lineNumber + \\\": \\\" + message + \\\" at '\\\" + token.text + \\\"'\\\");\\r\\n\\t}\",\n \"protected void syntaxError(Object obj) {\\n\\t\\tsyntaxError(obj.toString());\\n\\t}\",\n \"public SyntaxMatchingException(String msg) {\\n super(msg);\\n }\",\n \"public void PrintMe(){\\r\\n\\t\\t/* AST NODE TYPE = AST SUBSCRIPT VAR */\\r\\n\\t\\t/*************************************/\\r\\n\\t\\tSystem.out.print(\\\"AST NODE PAREN EXP\\\\n\\\");\\r\\n \\r\\n\\t\\t\\r\\n\\t\\t/***************************************/\\r\\n\\t\\t/* PRINT Node to AST GRAPHVIZ DOT file */\\r\\n\\t\\t/***************************************/\\r\\n\\t\\tAST_GRAPHVIZ.getInstance().logNode(\\r\\n\\t\\t\\tSerialNumber,\\r\\n\\t\\t\\t\\\"(exp)\\\");\\r\\n\\t\\tif (e != null) AST_GRAPHVIZ.getInstance().logEdge(SerialNumber,e.SerialNumber);\\r\\n \\r\\n }\",\n \"@Override\\n public String visit(Label n) {\\n // 注意进入这里的只会有开头的标识 Label\\n // 屏蔽 Procedure/CJUMP/JUMP/SimpleExp\\n String _ret = null;\\n Global.outputString += n.f0.tokenImage + \\\":\\\";\\n return _ret;\\n }\",\n \"private static String getMessage(int code) {\\n switch (code) {\\n case ME_DIV_BY_ZERO:\\n return \\\"Attempt to divide by zero.\\\";\\n case ME_ASSIGNLITERAL:\\n return \\\"Attempt to assign to a literal.\\\";\\n case ME_NONVARASSIGN:\\n return \\\"Attempt to assign to a non-variable.\\\";\\n default:\\n return \\\"Unknown error.\\\";\\n }\\n }\",\n \"java.lang.String getMessage();\",\n \"java.lang.String getMessage();\"\n]"},"negative_scores":{"kind":"list like","value":["0.61606574","0.59513485","0.5932944","0.5893355","0.58808196","0.5871829","0.5857221","0.5820393","0.5795704","0.57641536","0.5747321","0.5738958","0.57220936","0.5716056","0.5713506","0.56920743","0.5677899","0.5659718","0.5657756","0.56230897","0.5608775","0.56031847","0.55511695","0.5547356","0.5543762","0.5524041","0.55234534","0.55230266","0.5520324","0.54786813","0.54727715","0.5455893","0.54470074","0.5423069","0.5419843","0.5417892","0.54057556","0.540549","0.54003936","0.53968483","0.5394538","0.5390612","0.5385658","0.53836817","0.5378349","0.53736764","0.5370663","0.53637004","0.5350707","0.5350382","0.5349112","0.53258616","0.531858","0.5316166","0.53034353","0.52928567","0.52888346","0.52846","0.5280338","0.5273007","0.5271807","0.526571","0.52631885","0.5259433","0.52531207","0.52525824","0.5249684","0.52494824","0.5249307","0.5241711","0.52368945","0.5235025","0.52272964","0.5226391","0.52251494","0.5220828","0.52175486","0.5211856","0.5208774","0.5202518","0.51997143","0.51934946","0.5188055","0.5187199","0.5186266","0.51842093","0.5178137","0.5176773","0.5176186","0.5175576","0.5175013","0.51745695","0.5173769","0.51676804","0.5165648","0.51592046","0.5158791","0.51565325","0.515272","0.515272"],"string":"[\n \"0.61606574\",\n \"0.59513485\",\n \"0.5932944\",\n \"0.5893355\",\n \"0.58808196\",\n \"0.5871829\",\n \"0.5857221\",\n \"0.5820393\",\n \"0.5795704\",\n \"0.57641536\",\n \"0.5747321\",\n \"0.5738958\",\n \"0.57220936\",\n \"0.5716056\",\n \"0.5713506\",\n \"0.56920743\",\n \"0.5677899\",\n \"0.5659718\",\n \"0.5657756\",\n \"0.56230897\",\n \"0.5608775\",\n \"0.56031847\",\n \"0.55511695\",\n \"0.5547356\",\n \"0.5543762\",\n \"0.5524041\",\n \"0.55234534\",\n \"0.55230266\",\n \"0.5520324\",\n \"0.54786813\",\n \"0.54727715\",\n \"0.5455893\",\n \"0.54470074\",\n \"0.5423069\",\n \"0.5419843\",\n \"0.5417892\",\n \"0.54057556\",\n \"0.540549\",\n \"0.54003936\",\n \"0.53968483\",\n \"0.5394538\",\n \"0.5390612\",\n \"0.5385658\",\n \"0.53836817\",\n \"0.5378349\",\n \"0.53736764\",\n \"0.5370663\",\n \"0.53637004\",\n \"0.5350707\",\n \"0.5350382\",\n \"0.5349112\",\n \"0.53258616\",\n \"0.531858\",\n \"0.5316166\",\n \"0.53034353\",\n \"0.52928567\",\n \"0.52888346\",\n \"0.52846\",\n \"0.5280338\",\n \"0.5273007\",\n \"0.5271807\",\n \"0.526571\",\n \"0.52631885\",\n \"0.5259433\",\n \"0.52531207\",\n \"0.52525824\",\n \"0.5249684\",\n \"0.52494824\",\n \"0.5249307\",\n \"0.5241711\",\n \"0.52368945\",\n \"0.5235025\",\n \"0.52272964\",\n \"0.5226391\",\n \"0.52251494\",\n \"0.5220828\",\n \"0.52175486\",\n \"0.5211856\",\n \"0.5208774\",\n \"0.5202518\",\n \"0.51997143\",\n \"0.51934946\",\n \"0.5188055\",\n \"0.5187199\",\n \"0.5186266\",\n \"0.51842093\",\n \"0.5178137\",\n \"0.5176773\",\n \"0.5176186\",\n \"0.5175576\",\n \"0.5175013\",\n \"0.51745695\",\n \"0.5173769\",\n \"0.51676804\",\n \"0.5165648\",\n \"0.51592046\",\n \"0.5158791\",\n \"0.51565325\",\n \"0.515272\",\n \"0.515272\"\n]"},"document_score":{"kind":"string","value":"0.7042141"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":126680,"cells":{"query":{"kind":"string","value":"=================== Image management API ========================="},"document":{"kind":"string","value":"public ArrayList GetPicId (int nClassId)\r\n\t\t{\r\n\t\t\tArrayList res = null;\r\n\t\t\tquery.setclassid(nClassId);\r\n\t\t\tquery.settype(MsgId.GET_PICID);\r\n\t\t\tquery.setlist(null);\r\n\t\t\tquery.setrettype(RetID.INVALID);\r\n\t\t\t\r\n\t\t\ttry {\r\n\t\t\t scon.sendmsg(query);\r\n\t\t\t MessageObject result = (MessageObject) scon.getmsg(query);\r\n\t\t\t \r\n\t\t\t if (result.getrettype() == RetID.LONG_LIST) {\r\n\t\t\t \t res = result.getlist();\r\n\t\t\t }\r\n\t\t\t} catch (IOException e) {\r\n\t\t\t\t\r\n\t\t\t\tHandleException(e, MsgId.GET_PICID);\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\treturn res;\r\n\t\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["private ImageUtils() {}","public interface Image {\n public String getPath();\n\n public String getFormat();\n\n public String getWidth();\n\n public String getHeight();\n\n}","public interface Image {\n /**\n * @return the image ID\n */\n String getId();\n\n /**\n * @return the image ID, or null if not present\n */\n String getParentId();\n\n /**\n * @return Image create timestamp\n */\n long getCreated();\n\n /**\n * @return the image size\n */\n long getSize();\n\n /**\n * @return the image virtual size\n */\n long getVirtualSize();\n\n /**\n * @return the labels assigned to the image\n */\n Map getLabels();\n\n /**\n * @return the names associated with the image (formatted as repository:tag)\n */\n List getRepoTags();\n\n /**\n * @return the digests associated with the image (formatted as repository:tag@sha256:digest)\n */\n List getRepoDigests();\n}","public abstract Image getImage();","public abstract Image getImage();","private Images() {}","protected abstract void setupImages(Context context);","public interface ImageService extends Remote {\n\n public static final int IMG_SIZE_ORIGINAL = 0;\n public static final int IMG_SIZE_176_220_SMALL = 1;\n public static final int IMG_SIZE_330_220 = 2;\n public static final int IMG_SIZE_240_320_SMALL = 3;\n public static final int IMG_SIZE_120_67 = 4;\n\n public static final int IMG_SIZE_320_480_SMALL = 5;\n public static final int IMG_SIZE_170_121 = 6;\n public static final int IMG_SIZE_480_640_SMALL = 7;\n public static final int IMG_SIZE_800_600 = 8;\n\n public static final String SERVICE_NAME = \"ImageService\";\n\n public byte[] getBytes(long imageId, int imageSize) throws RemoteException;\n\n public byte[] getBytesQuiet(long imageId, int imageSize) throws RemoteException;\n\n public void removeImage(long imageId) throws RemoteException;\n\n public byte[] scale(byte[] data, int imageSize) throws RemoteException;\n\n public boolean addImage(long imageId, byte[] bytes) throws RemoteException;\n}","protected abstract Image loadImage();","public int getImage();","public Image getOne();","java.lang.String getImage();","Person addImage(String name, String imagePath);","Image createImage();","String getImage();","void ProcessImage() {\n DoDescribe();\n }","public interface Image {\n\n /**\n * Get number of pixels horizontally\n *\n * @return int number of pixels horizontally\n */\n int getWidth();\n\n /**\n * Get number of pixels vertically\n *\n * @return int number of pixels vertically\n */\n int getHeight();\n\n /**\n * Get the red value at the given pixel\n *\n * @param x coordinate of the pixel\n * @param y coordinate of the pixel\n * @return the red value\n */\n int getRed(int x, int y);\n\n\n /**\n * Get the green value at the given pixel\n *\n * @param x coordinate of the pixel\n * @param y coordinate of the pixel\n * @return the green value\n */\n int getGreen(int x, int y);\n\n /**\n * Get the blue value at the given pixel\n *\n * @param x coordinate of the pixel\n * @param y coordinate of the pixel\n * @return the blue value\n */\n int getBlue(int x, int y);\n\n /**\n * Set the red value at the given pixel\n *\n * @param x coordinate of the pixel\n * @param y coordinate of the pixel\n * @param value of the pixel\n */\n void setRed(int x, int y, int value);\n\n\n /**\n * Set the green value at the given pixel\n *\n * @param x coordinate of the pixel\n * @param y coordinate of the pixel\n * @param value of the pixel\n */\n void setGreen(int x, int y, int value);\n\n /**\n * Set the blue value at the given pixel\n *\n * @param x coordinate of the pixel\n * @param y coordinate of the pixel\n * @param value of the pixel\n */\n void setBlue(int x, int y, int value);\n}","IMG createIMG();","public interface ImageService {\n public long insert(ImageEntity entity);\n\n public ImageEntity query(long id);\n\n public List findTiles(long id);\n\n public boolean update(ImageEntity entity);\n\n public boolean delete(long id);\n}","void loadImages(int id_image, HouseRepository.GetImageFromHouseCallback callback);","private void galleryAddPic() {\n\t}","void lSetImage(Image img);","Imagem getImagem();","Builder addImage(ImageObject value);","@Override\n\tpublic void readImages() {\n\t\t\n\t}","public void setImage(Image itemImg) \n {\n img = itemImg;\n }","public String getImage() { return image; }","public void getImagePath(String imagePath);","private ImageLoader() {}","public void initImage() {\n if (isInited())\n return;\n //获取大图的游标\n Cursor cursor = context.getContentResolver().query(\n MediaStore.Images.Media.EXTERNAL_CONTENT_URI, // 大图URI\n STORE_IMAGES, // 字段\n null, // No where clause\n null, // No where clause\n MediaStore.Images.Media.DATE_TAKEN + \" DESC\"); //根据时间升序\n Log.e(\"eeeeeeeeeeeeeeeeeee\", \"------cursor:\" + cursor);\n if (cursor == null)\n return;\n while (cursor.moveToNext()) {\n int id = cursor.getInt(0);//大图ID\n String path = cursor.getString(1);//大图路径\n LogTool.setLog(\"大图路径1\", path);\n File file = new File(path);\n //判断大图是否存在\n if (file.exists()) {\n //小图URI\n String thumbUri = getThumbnail(id, path);\n //获取大图URI\n String uri = MediaStore.Images.Media.EXTERNAL_CONTENT_URI.buildUpon().\n appendPath(Integer.toString(id)).build().toString();\n LogTool.setLog(\"大图路径2\", uri);\n if (Tools.isEmpty(uri))\n continue;\n if (Tools.isEmpty(thumbUri))\n thumbUri = uri;\n //获取目录名\n String folder = file.getParentFile().getName();\n String appFile = context.getResources().getString(R.string.app_name);\n if (!folder.equals(appFile)) {\n LocalFile localFile = new LocalFile();\n localFile.setPath(path);\n localFile.setOriginalUri(uri);\n localFile.setThumbnailUri(thumbUri);\n int degree = cursor.getInt(2);\n if (degree != 0) {\n degree = degree + 180;\n }\n localFile.setOrientation(360 - degree);\n\n\n paths.add(localFile);\n\n\n //判断文件夹是否已经存在\n if (folders.containsKey(folder)) {\n folders.get(folder).add(localFile);\n } else {\n List files = new ArrayList<>();\n files.add(localFile);\n folders.put(folder, files);\n }\n }\n }\n }\n folders.put(\"所有图片\", paths);\n cursor.close();\n isRunning = false;\n }","BufferedImage getImage();","BufferedImage getImage();","BufferedImage getImage();","@Override\n\tpublic Image getImage() {\n\t\treturn img;\n\t}","public interface ImageLoader {\n\n}","private void createUpdateImage(Item item) throws Exception {\r\n //cria a imagem\r\n new Image().saveImage(item.getImagem(), item.getNome());\r\n \t}","public interface IImage {\n public int getWidth();\n public int getHeight();\n public IGraphics.ImageFormat getFormat();\n public void dispose();\n}","abstract public String imageUrl ();","public IImage createImage(String name) throws IOException {\n return null;\r\n }","private void setImage(){\n if(objects.size() <= 0)\n return;\n\n IImage img = objects.get(0).getImgClass();\n boolean different = false;\n \n //check for different images.\n for(IDataObject object : objects){\n IImage i = object.getImgClass();\n \n if((img == null && i != null) || \n (img != null && i == null)){\n different = true;\n break;\n }else if (img != null && i != null){ \n \n if(!i.getName().equals(img.getName()) ||\n !i.getDir().equals(img.getDir())){\n different = true;\n break;\n }\n } \n }\n \n if(!different){\n image.setText(BUNDLE.getString(\"NoImage\"));\n if(img != null){\n imgName = img.getName();\n imgDir = img.getDir();\n image.setImage(img.getImage());\n }else{\n image.setImage(null);\n }\n }else{\n image.setText(BUNDLE.getString(\"DifferentImages\"));\n }\n \n image.repaint();\n }","private void getImagesFromServer() {\n trObtainAllPetImages.setUser(user);\n trObtainAllPetImages.execute();\n Map petImages = trObtainAllPetImages.getResult();\n Set names = petImages.keySet();\n\n for (String petName : names) {\n byte[] bytes = petImages.get(petName);\n Bitmap bitmap = BitmapFactory.decodeByteArray(bytes, 0, Objects.requireNonNull(bytes).length);\n int index = user.getPets().indexOf(new Pet(petName));\n user.getPets().get(index).setProfileImage(bitmap);\n ImageManager.writeImage(ImageManager.PET_PROFILE_IMAGES_PATH, user.getUsername() + '_' + petName, bytes);\n }\n }","public interface ImageServer extends Remote {\n\n /**\n * Returns the identifier of the remote image. This method should be\n * called to return an identifier before any other methods are invoked.\n * The same ID must be used in all subsequent references to the remote\n * image.\n */\n Long getRemoteID() throws RemoteException;\n\n /**\n * Disposes of any resouces allocated to the client object with\n * the specified ID.\n */\n void dispose(Long id) throws RemoteException;\n\n /**\n * Increments the reference count for this id, i.e. increments the\n * number of RMIServerProxy objects that currently reference this id.\n */\n void incrementRefCount(Long id) throws RemoteException;\n\n\n /// Methods Common To Rendered as well as Renderable modes.\n\n\n /**\n * Gets a property from the property set of this image.\n * If the property name is not recognized, java.awt.Image.UndefinedProperty\n * will be returned.\n *\n * @param id An ID for the source which must be unique across all clients.\n * @param name the name of the property to get, as a String.\n * @return a reference to the property Object, or the value\n * java.awt.Image.UndefinedProperty.\n */\n Object getProperty(Long id, String name) throws RemoteException;\n\n /**\n * Returns a list of names recognized by getProperty(String).\n *\n * @return an array of Strings representing proeprty names.\n */\n String [] getPropertyNames(Long id) throws RemoteException;\n\n /**\n * Returns a list of names recognized by getProperty().\n *\n * @return an array of Strings representing property names.\n */\n String[] getPropertyNames(String opName) throws RemoteException;\n\n\n /// Rendered Mode Methods\n\n\n /** Returns the ColorModel associated with this image. */\n SerializableState getColorModel(Long id) throws RemoteException;\n\n /** Returns the SampleModel associated with this image. */\n SerializableState getSampleModel(Long id) throws RemoteException;\n\n /** Returns the width of the image on the ImageServer. */\n int getWidth(Long id) throws RemoteException;\n\n /** Returns the height of the image on the ImageServer. */\n int getHeight(Long id) throws RemoteException;\n\n /**\n * Returns the minimum X coordinate of the image on the ImageServer.\n */\n int getMinX(Long id) throws RemoteException;\n\n /**\n * Returns the minimum Y coordinate of the image on the ImageServer.\n */\n int getMinY(Long id) throws RemoteException;\n\n /** Returns the number of tiles across the image. */\n int getNumXTiles(Long id) throws RemoteException;\n\n /** Returns the number of tiles down the image. */\n int getNumYTiles(Long id) throws RemoteException;\n\n /**\n * Returns the index of the minimum tile in the X direction of the image.\n */\n int getMinTileX(Long id) throws RemoteException;\n\n /**\n * Returns the index of the minimum tile in the Y direction of the image.\n */\n int getMinTileY(Long id) throws RemoteException;\n\n /** Returns the width of a tile in pixels. */\n int getTileWidth(Long id) throws RemoteException;\n\n /** Returns the height of a tile in pixels. */\n int getTileHeight(Long id) throws RemoteException;\n\n /** Returns the X offset of the tile grid relative to the origin. */\n int getTileGridXOffset(Long id) throws RemoteException;\n\n /** Returns the Y offset of the tile grid relative to the origin. */\n int getTileGridYOffset(Long id) throws RemoteException;\n\n /**\n * Returns tile (x, y). Note that x and y are indices into the\n * tile array, not pixel locations. Unlike in the true RenderedImage\n * interface, the Raster that is returned should be considered a copy.\n *\n * @param id An ID for the source which must be unique across all clients.\n * @param x the x index of the requested tile in the tile array\n * @param y the y index of the requested tile in the tile array\n * @return a copy of the tile as a Raster.\n */\n SerializableState getTile(Long id, int x, int y) throws RemoteException;\n\n /**\n * Compresses tile (x, y) and returns the compressed tile's contents\n * as a byte array. Note that x and y are indices into the\n * tile array, not pixel locations.\n *\n * @param id An ID for the source which must be unique across all clients.\n * @param x the x index of the requested tile in the tile array\n * @param y the y index of the requested tile in the tile array\n * @return a byte array containing the compressed tile contents.\n */\n byte[] getCompressedTile(Long id, int x, int y) throws RemoteException;\n\n /**\n * Returns the entire image as a single Raster.\n *\n * @return a SerializableState containing a copy of this image's data.\n */\n SerializableState getData(Long id) throws RemoteException;\n\n /**\n * Returns an arbitrary rectangular region of the RenderedImage\n * in a Raster. The rectangle of interest will be clipped against\n * the image bounds.\n *\n * @param id An ID for the source which must be unique across all clients.\n * @param bounds the region of the RenderedImage to be returned.\n * @return a SerializableState containing a copy of the desired data.\n */\n SerializableState getData(Long id, Rectangle bounds) \n\tthrows RemoteException;\n\n /**\n * Returns the same result as getData(Rectangle) would for the\n * same rectangular region.\n */\n SerializableState copyData(Long id, Rectangle bounds)\n\tthrows RemoteException;\n\n /**\n * Creates a RenderedOp on the server side with a parameter block\n * empty of sources. The sources are set by separate calls depending\n * upon the type and serializabilty of the source.\n */\n\n void createRenderedOp(Long id, String opName,\n\t\t\t ParameterBlock pb,\n\t\t\t SerializableState hints) throws RemoteException;\n\n /**\n * Calls for Rendering of the Op and returns true if the RenderedOp\n * could be rendered else false\n */\n boolean getRendering(Long id) throws RemoteException;\n\n /**\n * Retrieve a node from the hashtable.\n */\n RenderedOp getNode(Long id) throws RemoteException;\n\n /**\n * Sets the source of the image as a RenderedImage on the server side\n */\n void setRenderedSource(Long id, RenderedImage source, int index)\n\tthrows RemoteException;\n\n /**\n * Sets the source of the image as a RenderedOp on the server side\n */\n void setRenderedSource(Long id, RenderedOp source, int index)\n\tthrows RemoteException;\n\n /**\n * Sets the source of the image which is on the same\n * server\n */\n void setRenderedSource(Long id, Long sourceId, int index)\n\tthrows RemoteException;\n\n /**\n * Sets the source of the image which is on a different\n * server\n */\n void setRenderedSource(Long id, Long sourceId, String serverName,\n\t\t\t String opName, int index) throws RemoteException;\n\n\n /// Renderable mode methods\n\n\n /** \n * Gets the minimum X coordinate of the rendering-independent image\n * stored against the given ID.\n *\n * @return the minimum X coordinate of the rendering-independent image\n * data.\n */\n float getRenderableMinX(Long id) throws RemoteException;\n\n /** \n * Gets the minimum Y coordinate of the rendering-independent image\n * stored against the given ID.\n *\n * @return the minimum X coordinate of the rendering-independent image\n * data.\n */\n float getRenderableMinY(Long id) throws RemoteException;\n\n /** \n * Gets the width (in user coordinate space) of the \n * RenderableImage stored against the given ID.\n *\n * @return the width of the renderable image in user coordinates.\n */\n float getRenderableWidth(Long id) throws RemoteException;\n \n /**\n * Gets the height (in user coordinate space) of the \n * RenderableImage stored against the given ID.\n *\n * @return the height of the renderable image in user coordinates.\n */\n float getRenderableHeight(Long id) throws RemoteException;\n\n /**\n * Creates a RenderedImage instance of this image with width w, and\n * height h in pixels. The RenderContext is built automatically\n * with an appropriate usr2dev transform and an area of interest\n * of the full image. All the rendering hints come from hints\n * passed in.\n *\n *
If w == 0, it will be taken to equal\n * Math.round(h*(getWidth()/getHeight())).\n * Similarly, if h == 0, it will be taken to equal\n * Math.round(w*(getHeight()/getWidth())). One of\n * w or h must be non-zero or else an IllegalArgumentException \n * will be thrown.\n *\n *
The created RenderedImage may have a property identified\n * by the String HINTS_OBSERVED to indicate which RenderingHints\n * were used to create the image. In addition any RenderedImages\n * that are obtained via the getSources() method on the created\n * RenderedImage may have such a property.\n *\n * @param w the width of rendered image in pixels, or 0.\n * @param h the height of rendered image in pixels, or 0.\n * @param hints a RenderingHints object containg hints.\n * @return a RenderedImage containing the rendered data.\n */\n RenderedImage createScaledRendering(Long id, \n\t\t\t\t\tint w, \n\t\t\t\t\tint h, \n\t\t\t\t\tSerializableState hintsState) \n\tthrows RemoteException;\n \n /** \n * Returnd a RenderedImage instance of this image with a default\n * width and height in pixels. The RenderContext is built\n * automatically with an appropriate usr2dev transform and an area\n * of interest of the full image. The rendering hints are\n * empty. createDefaultRendering may make use of a stored\n * rendering for speed.\n *\n * @return a RenderedImage containing the rendered data.\n */\n RenderedImage createDefaultRendering(Long id) throws RemoteException;\n \n /** \n * Creates a RenderedImage that represented a rendering of this image\n * using a given RenderContext. This is the most general way to obtain a\n * rendering of a RenderableImage.\n *\n *
The created RenderedImage may have a property identified\n * by the String HINTS_OBSERVED to indicate which RenderingHints\n * (from the RenderContext) were used to create the image.\n * In addition any RenderedImages\n * that are obtained via the getSources() method on the created\n * RenderedImage may have such a property.\n *\n * @param renderContext the RenderContext to use to produce the rendering.\n * @return a RenderedImage containing the rendered data.\n */\n RenderedImage createRendering(Long id, \n\t\t\t\t SerializableState renderContextState) \n\tthrows RemoteException;\n\n /**\n * Creates a RenderableOp on the server side with a parameter block\n * empty of sources. The sources are set by separate calls depending\n * upon the type and serializabilty of the source.\n */\n void createRenderableOp(Long id, String opName, ParameterBlock pb)\n\tthrows RemoteException;\n\n /**\n * Calls for rendering of a RenderableOp with the given SerializableState\n * which should be a RenderContextState.\n */\n Long getRendering(Long id, SerializableState rcs) throws RemoteException;\n\n /**\n * Sets the source of the image which is on the same\n * server\n */\n void setRenderableSource(Long id, Long sourceId, int index)\n\tthrows RemoteException;\n\n /**\n * Sets the source of the image which is on a different\n * server\n */\n void setRenderableSource(Long id, Long sourceId, String serverName,\n\t\t\t String opName, int index) throws RemoteException;\n\n /**\n * Sets the source of the operation refered to by the supplied \n * id to the RenderableRMIServerProxy\n * that exists on the supplied serverName under the\n * supplied sourceId. \n */\n void setRenderableRMIServerProxyAsSource(Long id,\n\t\t\t\t\t Long sourceId, \n\t\t\t\t\t String serverName,\n\t\t\t\t\t String opName,\n\t\t\t\t\t int index) throws RemoteException;\n\n /**\n * Sets the source of the image as a RenderableOp on the server side.\n */\n void setRenderableSource(Long id, RenderableOp source,\n\t\t\t int index) throws RemoteException;\n\n /**\n * Sets the source of the image as a RenderableImage on the server side.\n */\n void setRenderableSource(Long id, SerializableRenderableImage source,\n\t\t\t int index) throws RemoteException;\n\n /**\n * Sets the source of the image as a RenderedImage on the server side\n */\n void setRenderableSource(Long id, RenderedImage source, int index)\n\tthrows RemoteException;\n\n /**\n * Maps the RenderContext for the remote Image\n */\n SerializableState mapRenderContext(int id, Long nodeId,\n\t\t\t\t String operationName,\n\t\t\t\t SerializableState rcs)\n\tthrows RemoteException;\n\n /**\n * Gets the Bounds2D of the specified Remote Image\n */\n SerializableState getBounds2D(Long nodeId, String operationName)\n\tthrows RemoteException;\n\n /**\n * Returns true if successive renderings with the same\n * arguments may produce different results for this opName\n *\n * @return false indicating that the rendering is static.\n */\n public boolean isDynamic(String opName) throws RemoteException;\n\n /**\n * Returns true if successive renderings with the same\n * arguments may produce different results for this opName\n *\n * @return false indicating that the rendering is static.\n */\n public boolean isDynamic(Long id) throws RemoteException;\n\n /**\n * Gets the operation names supported on the Server\n */\n String[] getServerSupportedOperationNames() throws RemoteException;\n\n /**\n * Gets the OperationDescriptors of the operations\n * supported on this server.\n */\n List getOperationDescriptors() throws RemoteException;\n\n /**\n * Calculates the region over which two distinct renderings\n * of an operation may be expected to differ.\n *\n *
The class of the returned object will vary as a function of\n * the nature of the operation. For rendered and renderable two-\n * dimensional images this should be an instance of a class which\n * implements java.awt.Shape.\n *\n * @return The region over which the data of two renderings of this\n * operation may be expected to be invalid or null\n * if there is no common region of validity.\n */\n SerializableState getInvalidRegion(Long id,\n\t\t\t\t ParameterBlock oldParamBlock,\n\t\t\t\t SerializableState oldHints,\n\t\t\t\t ParameterBlock newParamBlock,\n\t\t\t\t SerializableState newHints)\n\tthrows RemoteException;\n\n /**\n * Returns a conservative estimate of the destination region that\n * can potentially be affected by the pixels of a rectangle of a\n * given source. \n *\n * @param id A Long identifying the node for whom\n * the destination region needs to be calculated .\n * @param sourceRect The Rectangle in source coordinates.\n * @param sourceIndex The index of the source image.\n *\n * @return A Rectangle indicating the potentially\n * affected destination region, or null if\n * the region is unknown.\n */\n Rectangle mapSourceRect(Long id, Rectangle sourceRect, int sourceIndex)\n\tthrows RemoteException;\n\n /**\n * Returns a conservative estimate of the region of a specified\n * source that is required in order to compute the pixels of a\n * given destination rectangle. \n *\n * @param id A Long identifying the node for whom\n * the source region needs to be calculated .\n * @param destRect The Rectangle in destination coordinates.\n * @param sourceIndex The index of the source image.\n *\n * @return A Rectangle indicating the required source region.\n */\n Rectangle mapDestRect(Long id, Rectangle destRect, int sourceIndex)\n\tthrows RemoteException;\n\n /**\n * A method that handles a change in some critical parameter.\n */\n Long handleEvent(Long renderedOpID, \n\t\t String propName,\n\t\t Object oldValue, \n\t\t Object newValue) throws RemoteException;\n\n /**\n * A method that handles a change in one of it's source's rendering,\n * i.e. a change that would be signalled by RenderingChangeEvent.\n */\n Long handleEvent(Long renderedOpID, \n\t\t int srcIndex,\n\t\t SerializableState srcInvalidRegion, \n\t\t Object oldRendering) throws RemoteException;\n\n /**\n * Returns the server's capabilities as a\n * NegotiableCapabilitySet. Currently the only capabilities\n * that are returned are those of TileCodecs.\n */\n NegotiableCapabilitySet getServerCapabilities() throws RemoteException;\n\n /**\n * Informs the server of the negotiated values that are the result of\n * a successful negotiation.\n *\n * @param id An ID for the node which must be unique across all clients.\n * @param negotiatedValues The result of the negotiation.\n */\n void setServerNegotiatedValues(Long id, \n\t\t\t\t NegotiableCapabilitySet negotiatedValues)\n\tthrows RemoteException; \n}","private void getImage() {\n StorageReference storageReference = FirebaseStorage.getInstance().getReference();\n StorageReference photoReference = storageReference.child(\"images/\" + globals.chosenProp);\n\n ImageView imageView = (ImageView) findViewById(R.id.ivImage);\n\n final long ONE_MEGABYTE = 1024 * 1024;\n photoReference.getBytes(ONE_MEGABYTE).addOnSuccessListener(new OnSuccessListener() {\n @Override\n public void onSuccess(byte[] bytes) {\n Bitmap bmp = BitmapFactory.decodeByteArray(bytes, 0, bytes.length);\n imageView.setImageBitmap(bmp);\n\n }\n }).addOnFailureListener(new OnFailureListener() {\n @Override\n public void onFailure(@NonNull Exception exception) {\n Toast.makeText(getApplicationContext(), \"No Such file or Path found!\", Toast.LENGTH_LONG).show();\n }\n });\n }","private void processImages() throws MalformedURLException, IOException {\r\n\r\n\t\tNodeFilter imageFilter = new NodeClassFilter(ImageTag.class);\r\n\t\timageList = fullList.extractAllNodesThatMatch(imageFilter, true);\r\n\t\tthePageImages = new HashMap();\r\n\r\n\t\tfor (SimpleNodeIterator nodeIter = imageList.elements(); nodeIter\r\n\t\t\t\t.hasMoreNodes();) {\r\n\t\t\tImageTag tempNode = (ImageTag) nodeIter.nextNode();\r\n\t\t\tString tagText = tempNode.getText();\r\n\r\n\t\t\t// Populate imageUrlText String\r\n\t\t\tString imageUrlText = tempNode.getImageURL();\r\n\r\n\t\t\tif (imageUrlText != \"\") {\r\n\t\t\t\t// Print to console, to verify relative link processing\r\n\t\t\t\tSystem.out.println(\"ImageUrl to Retrieve:\" + imageUrlText);\r\n\r\n\t\t\t\tbyte[] imgArray = downloadBinaryData(imageUrlText);\r\n\r\n\t\t\t\tthePageImages.put(tagText, imgArray);\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t}","PImage getImage() {\n return _img;\n }","com.yahoo.xpathproto.TransformTestProtos.ContentImage getImageByHandler();","@Override\n\tpublic boolean baseToImg() {\n\t\tList imgList = imageRepository.findAll();\n\t\tfor (Image img : imgList) {\n\t\t\tString base = img.getSource();\n\t\t\tFiles file = new Files(img.getSaegimId(), \"jpg\");\n\t\t\tfile = fileRepository.save(file);\n\t\t\tLong fileId = file.getId();\n\t\t\t\n\t\t\tBase64ToImgDecoder.decoder(base, dir + fileId + '.' + \"jpg\");\n\t\t}\n\t\treturn true;\n\t}","public Image call() throws IOException;","public interface ImageStatusService {\n\n /**\n * 状态变化处理操作\n */\n void changeHandle(String id, Integer type);\n}","public void store_image(Images image) {\n\t\tir.save(image);\n\t}","@Override\n\tpublic Image getImage() {\n\t\treturn image;\n\t}","com.yahoo.xpathproto.TransformTestProtos.ContentImageOrBuilder getImageByHandlerOrBuilder();","public void setImage(Image img) {\r\n this.img = img;\r\n }","@Override\n\tpublic File getImage(String name) {\n\n\t\tFile returnValue = new File(RestService.imageDirectory + name + \".png\");\n\t\t\n\t\tif(returnValue.exists() && !returnValue.isDirectory()) \n\t\t{ \n\t\t return returnValue;\n\t\t}\n\t\telse\n\t\t{\n\t\t\treturnValue = new File(RestService.imageDirectory + name + \".jpg\");\n\t\t\t\n\t\t\tif(returnValue.exists() && !returnValue.isDirectory()) \n\t\t\t{ \n\t\t\t return returnValue;\n\t\t\t}\n\t\t\telse\n\t\t\t{\n\t\t\t\treturn null;\n\t\t\t}\n\t\t}\n\t}","public interface ImageRenderer {\n /** Set displayed image from ImageProvider. This method is recommended,\n * because it allows the Rendered to choose the most efficient transfer\n * format. \n */\n void setImageFromSpec(ImageProvider spec);\n\n /** Set displayed image from buffered image. */\n void setImage(BufferedImage i);\n \n /** \n * Specify whether rendering should keep the aspect ratio of the image. \n * If no, it well be stretched to the display surface. If yes, borders\n * may occur, if the aspect ratio of surface and source image are different.\n * The default is false.\n */\n public void setKeepAspectRatio(boolean keepAspect);\n \n /**\n * Setter for property imageLocation.\n * @param imageLocation New value of property imageLocation.\n */\n void setImageLocation(URL imageLocation) throws IOException;\n\n /**\n * Setter for property imageResource.\n * @param imageResource New value of property imageResource.\n */\n void setImageResource(String imageResource) throws IOException;\n\n}","public interface ImageMetadataService {\n\n List getArtistsByPrediction(String name, String name2, String surname);\n\n List getImageTypesByPrediction(String name);\n\n UploadImageMetadataDTO saveMetadata(UploadImageMetadataDTO uploadImageMetadataDTO);\n\n List getTop10Images(String username, String title);\n\n List getAllUserImages(String username);\n\n List searchImagesByCriteria(SearchImageCriteriaDTO searchImageCriteriaDTO);\n\n ImageDTO updateImageMetadata(ImageDTO imageDTO);\n\n List getImagesTop50();\n\n void rateImage(RateImageDTO rateImageDTO);\n\n List getAllImages();\n}","public void setImage(int imageId) {\n this.imageId=imageId;\n\t}","public interface FaroProfileImageDo {\n URL getPublicUrl();\n ImageProvider getImageProvider();\n boolean isThumbnail();\n}","java.lang.String getImagePath();","String getImagePath();","String getImagePath();","WorldImage getImage();","public void displayImage() {\n RealImage real = new RealImage(url);\n real.displayImage();\n }","public interface Images extends ClientBundle {\n\n\t\t@Source(\"gr/grnet/pithos/resources/mimetypes/document.png\")\n\t\tImageResource fileContextMenu();\n\n\t\t@Source(\"gr/grnet/pithos/resources/doc_versions.png\")\n\t\tImageResource versions();\n\n\t\t@Source(\"gr/grnet/pithos/resources/groups22.png\")\n\t\tImageResource sharing();\n\n\t\t@Source(\"gr/grnet/pithos/resources/border_remove.png\")\n\t\tImageResource unselectAll();\n\n\t\t@Source(\"gr/grnet/pithos/resources/demo.png\")\n\t\tImageResource viewImage();\n\n @Source(\"gr/grnet/pithos/resources/folder_new.png\")\n ImageResource folderNew();\n\n @Source(\"gr/grnet/pithos/resources/folder_outbox.png\")\n ImageResource fileUpdate();\n\n @Source(\"gr/grnet/pithos/resources/view_text.png\")\n ImageResource viewText();\n\n @Source(\"gr/grnet/pithos/resources/folder_inbox.png\")\n ImageResource download();\n\n @Source(\"gr/grnet/pithos/resources/trash.png\")\n ImageResource emptyTrash();\n\n @Source(\"gr/grnet/pithos/resources/refresh.png\")\n ImageResource refresh();\n\n /**\n * Will bundle the file 'editcut.png' residing in the package\n * 'gr.grnet.pithos.web.resources'.\n *\n * @return the image prototype\n */\n @Source(\"gr/grnet/pithos/resources/editcut.png\")\n ImageResource cut();\n\n /**\n * Will bundle the file 'editcopy.png' residing in the package\n * 'gr.grnet.pithos.web.resources'.\n *\n * @return the image prototype\n */\n @Source(\"gr/grnet/pithos/resources/editcopy.png\")\n ImageResource copy();\n\n /**\n * Will bundle the file 'editpaste.png' residing in the package\n * 'gr.grnet.pithos.web.resources'.\n *\n * @return the image prototype\n */\n @Source(\"gr/grnet/pithos/resources/editpaste.png\")\n ImageResource paste();\n\n /**\n * Will bundle the file 'editdelete.png' residing in the package\n * 'gr.grnet.pithos.web.resources'.\n *\n * @return the image prototype\n */\n @Source(\"gr/grnet/pithos/resources/editdelete.png\")\n ImageResource delete();\n\n /**\n * Will bundle the file 'translate.png' residing in the package\n * 'gr.grnet.pithos.web.resources'.\n *\n * @return the image prototype\n */\n @Source(\"gr/grnet/pithos/resources/translate.png\")\n ImageResource selectAll();\n \n @Source(\"gr/grnet/pithos/resources/internet.png\")\n ImageResource internet();\n }","public Image getImage(String key)\n {\n return imageRegistry.get(key);\n }","private void createImageCache(){\n ImageCacheManager.getInstance().init(this,\n this.getPackageCodePath()\n , DISK_IMAGECACHE_SIZE\n , DISK_IMAGECACHE_COMPRESS_FORMAT\n , DISK_IMAGECACHE_QUALITY\n , ImageCacheManager.CacheType.MEMORY);\n }","private void enhanceImage(){\n }","String getItemImage();","public void Func_imagefile(){\n\n\t\tswf_env.containImg = true;\n\n\n\t\tthis.value = new SWFValue(\"Func\");\n\n\t\tString path = this.getAtt(\"path\", \".\");\n\t\tString filename = this.getAtt(\"default\");\n\t\tString type = \"auto\";\n\t\tvalue.instanceName = \"img\"+ Integer.toString(swf_env.instanceID);\n\t\tvalue.data = \"\";\n\t\tvalue.imgpath = path + \"/\" + filename;\n\t\tvalue.inter_imgpath = path + \"/\" + filename;\n\t\tvalue.inter_name = \"intimg\" + Integer.toString(swf_env.interactionImgNUM);\n\t\tvalue.tmp = \"tmp\" + Integer.toString(swf_env.interactionImgNUM);\n\t\tvalue.lnum = Integer.toString(swf_env.visibleflag_counter);\n\n\n\t\tif(!path.startsWith(\"/\")) {\n\t\t\tString basedir = GlobalEnv.getBaseDir();\n\t\t\tLog.out(\"basedir= \" +basedir);\n\t\t\tif(basedir != null && basedir != \"\") {\n\t\t\t\tpath = basedir + path;\n\t\t\t}\n\t\t}\n\n\t\tString filepath = path + \"/\" + filename;\n\n\n\t\tsetDecoration1();\n\t\tvalue.margin = margin;\n\n\n\t\tSystem.out.println(\"filepath = \"+filepath);\n\t\tint img = swf_env.open_image_file(type, filepath);\n\t\tvalue.img = img;\n\n\t\tdata_width = swf_env.get_value(\"imagewidth\", img);\n\t\tdata_height = swf_env.get_value(\"imageheight\", img);\n\t\tSystem.out.println(\"imagesize: \"+data_width+\" \"+data_height);\n\t\twidth = data_width + margin * 2;\n\t\theight = data_height + margin * 2;\n\n\n\t\tsetDecoration2();\n\n\t\tif(data_width > width){\n\t\t\tint original_width = data_width;\n\t\t\tdata_width = width - margin * 2;\n\t\t\tint scale = data_width / original_width;\n\t\t\tdata_height = data_height * scale;\n\t\t\theight = data_height + margin * 2;\n\t\t}\n\t\tif(data_height > height){\n\t\t\tint original_height = data_height;\n\t\t\tdata_height = height - margin * 2;\n\t\t\tint scale = data_height / original_height;\n\t\t\tdata_width = data_width * scale;\n\t\t\twidth = data_width + margin * 2;\n\t\t}\n\n\t\tvalue.data_width = data_width;\n\t\tvalue.data_height = data_height;\n\t\tvalue.width = width;\n\t\tvalue.height = height;\n\t\t//morya wrote\n\t\tvalue.int_w = width;\n\t\tvalue.int_h = height;\n\n\n\t\tsetDecoration3();\n\n\t\tswf_env.tmp_width = width;\n\t\tswf_env.tmp_height = height;\n\n\n\t\tswf_env.instanceID++;\n\n\t}","GetImagesResult getImages(GetImagesRequest getImagesRequest);","@Override\r\n\tpublic void init() {\n\t\timg = new ImageClass();\r\n\t\timg.Init(imgPath);\r\n\t}","Builder addImage(URL value);","public ImageHandler(Group nGroup){\n\t /* Set up the group reference */\n\t\tgroup = nGroup;\n\t\t\n\t\t/* Instantiate the list of images */\n\t\timages = new ArrayList();\n\t}","public int getImageId(){\n \t\treturn imageId;\n \t}","void setImageFromFile(File imageFile);","public Image getBassClef();","public Image getImage() {\r\n return image;\r\n }","public Img getImage(long id){\n\n Img imageObj = null;\n\n List imgList = null;\n imgList = Img.getImageList(id);\n if(imgList!=null && imgList.size()>0) {\n\n imageObj = imgList.get(0);\n }\n return imageObj;\n }","public ImageInfo getImage() {\n return image;\n }","public void openImage() {\t\n\t\ttry {\n\t\t\timg.openImage(list);\n\t\t} \t\n\n\t\tcatch (BrokenImageException ex) {\n\t\t\ttry{\n\t\t\t\tif(!validImageContent())\n\t\t\t\t\tthrow new BadImageContentException(\"The image is broken \"\n\t\t\t\t\t\t\t+ \"due to corrupt content\");\n\t\t\t\tif(!validImageHeader())\n\t\t\t\t\tthrow new BadImageHeaderException(\"The image is broken\"\n\t\t\t\t\t\t\t+ \" due to a damaged header\");\n\t\t\t}\n\t\t\tcatch (Exception e) {\n\t\t\t\tSystem.out.println(\n\t\t\t\t\t\t\"Please catch the proper Image-related Exception.\");\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\t\t}\n\t}","public interface IImageMetadata {\n\n public String getImageType();\n\n public void setImageType(String imageType);\n\n public String getFilename();\n\n public void setFilename(String filename);\n\n public DateTime getLastModified();\n\n public void setLastModified(DateTime d);\n\n public DateTime getCreated();\n\n public void setCreated(DateTime d);\n\n public long getSize();\n\n public void setSize(long size);\n\n public String getReadableSize();\n\n}","public interface ImageService {\n\n void saveImageFile(Long recipeId, MultipartFile imageFile);\n}","public interface Image {\n void display();\n}","public abstract Image gen();","public ImageFile(BufferedImage img) throws ImageException{\r\n\tloadImage(img);\r\n}","public interface ImagePathCallback {\n\n File createPhotoFile();\n}","Images getImages(){\n return images;\n }","public void initializeImages() {\n\n File dir = new File(\"Images\");\n if (!dir.exists()) {\n boolean success = dir.mkdir();\n System.out.println(\"Images directory created!\");\n }\n }","@Override\n\tpublic String addImage(String imageFileName) throws Exception {\n\t\treturn null;\n\t}","public interface ImageSearchService {\n\n /**\n * Register an image into the search instance.\n *\n * @param imageData Image data in JPEG or PNG format.\n * @param imageType Image format.\n * @param uuid Unique identifier of the image.\n */\n void register(byte[] imageData, ObjectImageType imageType, String uuid);\n\n /**\n * Un-register an image from the search instance.\n *\n * @param uuid Unique identifier of the image.\n */\n void unregister(String uuid);\n\n /**\n * Find all images similar to the given one.\n *\n * @param imageData Image to match with registered ones in the search instance.\n * @param objectRegion object region to search.\n * @return Found images UUIDs and raw response.\n */\n ImageSearchResponse findAllBySimilarImage(byte[] imageData, ImageRegion objectRegion);\n\n /**\n * Check the image search configuration is correct by making a fake search request.\n *\n * @param configuration Configuration to check.\n */\n void checkImageSearchConfiguration(Configuration configuration) throws InvalidConfigurationException;\n}","abstract public String getImageKey();","void setImage(String image);","public Image getImage()\n {\n return null;\n }","public ImageSection() { // required by the SessionLoader (should not be used elsewhere)\n hasImage = new HasImage();\n }","public String getImage() {\n return image;\n }","public String getImage()\n {\n return image;\n }","interface Image {\n public void displayImage();\n}","public Image getImage() {\n return image;\n }","File resolveImage(Box box);","public ImageDescriptor getImageDescriptor();","private void prepararImagenYStorage() {\n mImageBitmap = null;\n\n //this.capturarFotoButton = (Button) findViewById(R.id.capturarFotoButton);\n// setBtnListenerOrDisable(\n// this.capturarFotoButton,\n// mTakePicSOnClickListener,\n// MediaStore.ACTION_IMAGE_CAPTURE\n// );\n\n if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.FROYO) {\n mAlbumStorageDirFactory = new FroyoAlbumDirFactory();\n } else {\n mAlbumStorageDirFactory = new BaseAlbumDirFactory();\n }\n }"],"string":"[\n \"private ImageUtils() {}\",\n \"public interface Image {\\n public String getPath();\\n\\n public String getFormat();\\n\\n public String getWidth();\\n\\n public String getHeight();\\n\\n}\",\n \"public interface Image {\\n /**\\n * @return the image ID\\n */\\n String getId();\\n\\n /**\\n * @return the image ID, or null if not present\\n */\\n String getParentId();\\n\\n /**\\n * @return Image create timestamp\\n */\\n long getCreated();\\n\\n /**\\n * @return the image size\\n */\\n long getSize();\\n\\n /**\\n * @return the image virtual size\\n */\\n long getVirtualSize();\\n\\n /**\\n * @return the labels assigned to the image\\n */\\n Map getLabels();\\n\\n /**\\n * @return the names associated with the image (formatted as repository:tag)\\n */\\n List getRepoTags();\\n\\n /**\\n * @return the digests associated with the image (formatted as repository:tag@sha256:digest)\\n */\\n List getRepoDigests();\\n}\",\n \"public abstract Image getImage();\",\n \"public abstract Image getImage();\",\n \"private Images() {}\",\n \"protected abstract void setupImages(Context context);\",\n \"public interface ImageService extends Remote {\\n\\n public static final int IMG_SIZE_ORIGINAL = 0;\\n public static final int IMG_SIZE_176_220_SMALL = 1;\\n public static final int IMG_SIZE_330_220 = 2;\\n public static final int IMG_SIZE_240_320_SMALL = 3;\\n public static final int IMG_SIZE_120_67 = 4;\\n\\n public static final int IMG_SIZE_320_480_SMALL = 5;\\n public static final int IMG_SIZE_170_121 = 6;\\n public static final int IMG_SIZE_480_640_SMALL = 7;\\n public static final int IMG_SIZE_800_600 = 8;\\n\\n public static final String SERVICE_NAME = \\\"ImageService\\\";\\n\\n public byte[] getBytes(long imageId, int imageSize) throws RemoteException;\\n\\n public byte[] getBytesQuiet(long imageId, int imageSize) throws RemoteException;\\n\\n public void removeImage(long imageId) throws RemoteException;\\n\\n public byte[] scale(byte[] data, int imageSize) throws RemoteException;\\n\\n public boolean addImage(long imageId, byte[] bytes) throws RemoteException;\\n}\",\n \"protected abstract Image loadImage();\",\n \"public int getImage();\",\n \"public Image getOne();\",\n \"java.lang.String getImage();\",\n \"Person addImage(String name, String imagePath);\",\n \"Image createImage();\",\n \"String getImage();\",\n \"void ProcessImage() {\\n DoDescribe();\\n }\",\n \"public interface Image {\\n\\n /**\\n * Get number of pixels horizontally\\n *\\n * @return int number of pixels horizontally\\n */\\n int getWidth();\\n\\n /**\\n * Get number of pixels vertically\\n *\\n * @return int number of pixels vertically\\n */\\n int getHeight();\\n\\n /**\\n * Get the red value at the given pixel\\n *\\n * @param x coordinate of the pixel\\n * @param y coordinate of the pixel\\n * @return the red value\\n */\\n int getRed(int x, int y);\\n\\n\\n /**\\n * Get the green value at the given pixel\\n *\\n * @param x coordinate of the pixel\\n * @param y coordinate of the pixel\\n * @return the green value\\n */\\n int getGreen(int x, int y);\\n\\n /**\\n * Get the blue value at the given pixel\\n *\\n * @param x coordinate of the pixel\\n * @param y coordinate of the pixel\\n * @return the blue value\\n */\\n int getBlue(int x, int y);\\n\\n /**\\n * Set the red value at the given pixel\\n *\\n * @param x coordinate of the pixel\\n * @param y coordinate of the pixel\\n * @param value of the pixel\\n */\\n void setRed(int x, int y, int value);\\n\\n\\n /**\\n * Set the green value at the given pixel\\n *\\n * @param x coordinate of the pixel\\n * @param y coordinate of the pixel\\n * @param value of the pixel\\n */\\n void setGreen(int x, int y, int value);\\n\\n /**\\n * Set the blue value at the given pixel\\n *\\n * @param x coordinate of the pixel\\n * @param y coordinate of the pixel\\n * @param value of the pixel\\n */\\n void setBlue(int x, int y, int value);\\n}\",\n \"IMG createIMG();\",\n \"public interface ImageService {\\n public long insert(ImageEntity entity);\\n\\n public ImageEntity query(long id);\\n\\n public List findTiles(long id);\\n\\n public boolean update(ImageEntity entity);\\n\\n public boolean delete(long id);\\n}\",\n \"void loadImages(int id_image, HouseRepository.GetImageFromHouseCallback callback);\",\n \"private void galleryAddPic() {\\n\\t}\",\n \"void lSetImage(Image img);\",\n \"Imagem getImagem();\",\n \"Builder addImage(ImageObject value);\",\n \"@Override\\n\\tpublic void readImages() {\\n\\t\\t\\n\\t}\",\n \"public void setImage(Image itemImg) \\n {\\n img = itemImg;\\n }\",\n \"public String getImage() { return image; }\",\n \"public void getImagePath(String imagePath);\",\n \"private ImageLoader() {}\",\n \"public void initImage() {\\n if (isInited())\\n return;\\n //获取大图的游标\\n Cursor cursor = context.getContentResolver().query(\\n MediaStore.Images.Media.EXTERNAL_CONTENT_URI, // 大图URI\\n STORE_IMAGES, // 字段\\n null, // No where clause\\n null, // No where clause\\n MediaStore.Images.Media.DATE_TAKEN + \\\" DESC\\\"); //根据时间升序\\n Log.e(\\\"eeeeeeeeeeeeeeeeeee\\\", \\\"------cursor:\\\" + cursor);\\n if (cursor == null)\\n return;\\n while (cursor.moveToNext()) {\\n int id = cursor.getInt(0);//大图ID\\n String path = cursor.getString(1);//大图路径\\n LogTool.setLog(\\\"大图路径1\\\", path);\\n File file = new File(path);\\n //判断大图是否存在\\n if (file.exists()) {\\n //小图URI\\n String thumbUri = getThumbnail(id, path);\\n //获取大图URI\\n String uri = MediaStore.Images.Media.EXTERNAL_CONTENT_URI.buildUpon().\\n appendPath(Integer.toString(id)).build().toString();\\n LogTool.setLog(\\\"大图路径2\\\", uri);\\n if (Tools.isEmpty(uri))\\n continue;\\n if (Tools.isEmpty(thumbUri))\\n thumbUri = uri;\\n //获取目录名\\n String folder = file.getParentFile().getName();\\n String appFile = context.getResources().getString(R.string.app_name);\\n if (!folder.equals(appFile)) {\\n LocalFile localFile = new LocalFile();\\n localFile.setPath(path);\\n localFile.setOriginalUri(uri);\\n localFile.setThumbnailUri(thumbUri);\\n int degree = cursor.getInt(2);\\n if (degree != 0) {\\n degree = degree + 180;\\n }\\n localFile.setOrientation(360 - degree);\\n\\n\\n paths.add(localFile);\\n\\n\\n //判断文件夹是否已经存在\\n if (folders.containsKey(folder)) {\\n folders.get(folder).add(localFile);\\n } else {\\n List files = new ArrayList<>();\\n files.add(localFile);\\n folders.put(folder, files);\\n }\\n }\\n }\\n }\\n folders.put(\\\"所有图片\\\", paths);\\n cursor.close();\\n isRunning = false;\\n }\",\n \"BufferedImage getImage();\",\n \"BufferedImage getImage();\",\n \"BufferedImage getImage();\",\n \"@Override\\n\\tpublic Image getImage() {\\n\\t\\treturn img;\\n\\t}\",\n \"public interface ImageLoader {\\n\\n}\",\n \"private void createUpdateImage(Item item) throws Exception {\\r\\n //cria a imagem\\r\\n new Image().saveImage(item.getImagem(), item.getNome());\\r\\n \\t}\",\n \"public interface IImage {\\n public int getWidth();\\n public int getHeight();\\n public IGraphics.ImageFormat getFormat();\\n public void dispose();\\n}\",\n \"abstract public String imageUrl ();\",\n \"public IImage createImage(String name) throws IOException {\\n return null;\\r\\n }\",\n \"private void setImage(){\\n if(objects.size() <= 0)\\n return;\\n\\n IImage img = objects.get(0).getImgClass();\\n boolean different = false;\\n \\n //check for different images.\\n for(IDataObject object : objects){\\n IImage i = object.getImgClass();\\n \\n if((img == null && i != null) || \\n (img != null && i == null)){\\n different = true;\\n break;\\n }else if (img != null && i != null){ \\n \\n if(!i.getName().equals(img.getName()) ||\\n !i.getDir().equals(img.getDir())){\\n different = true;\\n break;\\n }\\n } \\n }\\n \\n if(!different){\\n image.setText(BUNDLE.getString(\\\"NoImage\\\"));\\n if(img != null){\\n imgName = img.getName();\\n imgDir = img.getDir();\\n image.setImage(img.getImage());\\n }else{\\n image.setImage(null);\\n }\\n }else{\\n image.setText(BUNDLE.getString(\\\"DifferentImages\\\"));\\n }\\n \\n image.repaint();\\n }\",\n \"private void getImagesFromServer() {\\n trObtainAllPetImages.setUser(user);\\n trObtainAllPetImages.execute();\\n Map petImages = trObtainAllPetImages.getResult();\\n Set names = petImages.keySet();\\n\\n for (String petName : names) {\\n byte[] bytes = petImages.get(petName);\\n Bitmap bitmap = BitmapFactory.decodeByteArray(bytes, 0, Objects.requireNonNull(bytes).length);\\n int index = user.getPets().indexOf(new Pet(petName));\\n user.getPets().get(index).setProfileImage(bitmap);\\n ImageManager.writeImage(ImageManager.PET_PROFILE_IMAGES_PATH, user.getUsername() + '_' + petName, bytes);\\n }\\n }\",\n \"public interface ImageServer extends Remote {\\n\\n /**\\n * Returns the identifier of the remote image. This method should be\\n * called to return an identifier before any other methods are invoked.\\n * The same ID must be used in all subsequent references to the remote\\n * image.\\n */\\n Long getRemoteID() throws RemoteException;\\n\\n /**\\n * Disposes of any resouces allocated to the client object with\\n * the specified ID.\\n */\\n void dispose(Long id) throws RemoteException;\\n\\n /**\\n * Increments the reference count for this id, i.e. increments the\\n * number of RMIServerProxy objects that currently reference this id.\\n */\\n void incrementRefCount(Long id) throws RemoteException;\\n\\n\\n /// Methods Common To Rendered as well as Renderable modes.\\n\\n\\n /**\\n * Gets a property from the property set of this image.\\n * If the property name is not recognized, java.awt.Image.UndefinedProperty\\n * will be returned.\\n *\\n * @param id An ID for the source which must be unique across all clients.\\n * @param name the name of the property to get, as a String.\\n * @return a reference to the property Object, or the value\\n * java.awt.Image.UndefinedProperty.\\n */\\n Object getProperty(Long id, String name) throws RemoteException;\\n\\n /**\\n * Returns a list of names recognized by getProperty(String).\\n *\\n * @return an array of Strings representing proeprty names.\\n */\\n String [] getPropertyNames(Long id) throws RemoteException;\\n\\n /**\\n * Returns a list of names recognized by getProperty().\\n *\\n * @return an array of Strings representing property names.\\n */\\n String[] getPropertyNames(String opName) throws RemoteException;\\n\\n\\n /// Rendered Mode Methods\\n\\n\\n /** Returns the ColorModel associated with this image. */\\n SerializableState getColorModel(Long id) throws RemoteException;\\n\\n /** Returns the SampleModel associated with this image. */\\n SerializableState getSampleModel(Long id) throws RemoteException;\\n\\n /** Returns the width of the image on the ImageServer. */\\n int getWidth(Long id) throws RemoteException;\\n\\n /** Returns the height of the image on the ImageServer. */\\n int getHeight(Long id) throws RemoteException;\\n\\n /**\\n * Returns the minimum X coordinate of the image on the ImageServer.\\n */\\n int getMinX(Long id) throws RemoteException;\\n\\n /**\\n * Returns the minimum Y coordinate of the image on the ImageServer.\\n */\\n int getMinY(Long id) throws RemoteException;\\n\\n /** Returns the number of tiles across the image. */\\n int getNumXTiles(Long id) throws RemoteException;\\n\\n /** Returns the number of tiles down the image. */\\n int getNumYTiles(Long id) throws RemoteException;\\n\\n /**\\n * Returns the index of the minimum tile in the X direction of the image.\\n */\\n int getMinTileX(Long id) throws RemoteException;\\n\\n /**\\n * Returns the index of the minimum tile in the Y direction of the image.\\n */\\n int getMinTileY(Long id) throws RemoteException;\\n\\n /** Returns the width of a tile in pixels. */\\n int getTileWidth(Long id) throws RemoteException;\\n\\n /** Returns the height of a tile in pixels. */\\n int getTileHeight(Long id) throws RemoteException;\\n\\n /** Returns the X offset of the tile grid relative to the origin. */\\n int getTileGridXOffset(Long id) throws RemoteException;\\n\\n /** Returns the Y offset of the tile grid relative to the origin. */\\n int getTileGridYOffset(Long id) throws RemoteException;\\n\\n /**\\n * Returns tile (x, y). Note that x and y are indices into the\\n * tile array, not pixel locations. Unlike in the true RenderedImage\\n * interface, the Raster that is returned should be considered a copy.\\n *\\n * @param id An ID for the source which must be unique across all clients.\\n * @param x the x index of the requested tile in the tile array\\n * @param y the y index of the requested tile in the tile array\\n * @return a copy of the tile as a Raster.\\n */\\n SerializableState getTile(Long id, int x, int y) throws RemoteException;\\n\\n /**\\n * Compresses tile (x, y) and returns the compressed tile's contents\\n * as a byte array. Note that x and y are indices into the\\n * tile array, not pixel locations.\\n *\\n * @param id An ID for the source which must be unique across all clients.\\n * @param x the x index of the requested tile in the tile array\\n * @param y the y index of the requested tile in the tile array\\n * @return a byte array containing the compressed tile contents.\\n */\\n byte[] getCompressedTile(Long id, int x, int y) throws RemoteException;\\n\\n /**\\n * Returns the entire image as a single Raster.\\n *\\n * @return a SerializableState containing a copy of this image's data.\\n */\\n SerializableState getData(Long id) throws RemoteException;\\n\\n /**\\n * Returns an arbitrary rectangular region of the RenderedImage\\n * in a Raster. The rectangle of interest will be clipped against\\n * the image bounds.\\n *\\n * @param id An ID for the source which must be unique across all clients.\\n * @param bounds the region of the RenderedImage to be returned.\\n * @return a SerializableState containing a copy of the desired data.\\n */\\n SerializableState getData(Long id, Rectangle bounds) \\n\\tthrows RemoteException;\\n\\n /**\\n * Returns the same result as getData(Rectangle) would for the\\n * same rectangular region.\\n */\\n SerializableState copyData(Long id, Rectangle bounds)\\n\\tthrows RemoteException;\\n\\n /**\\n * Creates a RenderedOp on the server side with a parameter block\\n * empty of sources. The sources are set by separate calls depending\\n * upon the type and serializabilty of the source.\\n */\\n\\n void createRenderedOp(Long id, String opName,\\n\\t\\t\\t ParameterBlock pb,\\n\\t\\t\\t SerializableState hints) throws RemoteException;\\n\\n /**\\n * Calls for Rendering of the Op and returns true if the RenderedOp\\n * could be rendered else false\\n */\\n boolean getRendering(Long id) throws RemoteException;\\n\\n /**\\n * Retrieve a node from the hashtable.\\n */\\n RenderedOp getNode(Long id) throws RemoteException;\\n\\n /**\\n * Sets the source of the image as a RenderedImage on the server side\\n */\\n void setRenderedSource(Long id, RenderedImage source, int index)\\n\\tthrows RemoteException;\\n\\n /**\\n * Sets the source of the image as a RenderedOp on the server side\\n */\\n void setRenderedSource(Long id, RenderedOp source, int index)\\n\\tthrows RemoteException;\\n\\n /**\\n * Sets the source of the image which is on the same\\n * server\\n */\\n void setRenderedSource(Long id, Long sourceId, int index)\\n\\tthrows RemoteException;\\n\\n /**\\n * Sets the source of the image which is on a different\\n * server\\n */\\n void setRenderedSource(Long id, Long sourceId, String serverName,\\n\\t\\t\\t String opName, int index) throws RemoteException;\\n\\n\\n /// Renderable mode methods\\n\\n\\n /** \\n * Gets the minimum X coordinate of the rendering-independent image\\n * stored against the given ID.\\n *\\n * @return the minimum X coordinate of the rendering-independent image\\n * data.\\n */\\n float getRenderableMinX(Long id) throws RemoteException;\\n\\n /** \\n * Gets the minimum Y coordinate of the rendering-independent image\\n * stored against the given ID.\\n *\\n * @return the minimum X coordinate of the rendering-independent image\\n * data.\\n */\\n float getRenderableMinY(Long id) throws RemoteException;\\n\\n /** \\n * Gets the width (in user coordinate space) of the \\n * RenderableImage stored against the given ID.\\n *\\n * @return the width of the renderable image in user coordinates.\\n */\\n float getRenderableWidth(Long id) throws RemoteException;\\n \\n /**\\n * Gets the height (in user coordinate space) of the \\n * RenderableImage stored against the given ID.\\n *\\n * @return the height of the renderable image in user coordinates.\\n */\\n float getRenderableHeight(Long id) throws RemoteException;\\n\\n /**\\n * Creates a RenderedImage instance of this image with width w, and\\n * height h in pixels. The RenderContext is built automatically\\n * with an appropriate usr2dev transform and an area of interest\\n * of the full image. All the rendering hints come from hints\\n * passed in.\\n *\\n *
If w == 0, it will be taken to equal\\n * Math.round(h*(getWidth()/getHeight())).\\n * Similarly, if h == 0, it will be taken to equal\\n * Math.round(w*(getHeight()/getWidth())). One of\\n * w or h must be non-zero or else an IllegalArgumentException \\n * will be thrown.\\n *\\n *
The created RenderedImage may have a property identified\\n * by the String HINTS_OBSERVED to indicate which RenderingHints\\n * were used to create the image. In addition any RenderedImages\\n * that are obtained via the getSources() method on the created\\n * RenderedImage may have such a property.\\n *\\n * @param w the width of rendered image in pixels, or 0.\\n * @param h the height of rendered image in pixels, or 0.\\n * @param hints a RenderingHints object containg hints.\\n * @return a RenderedImage containing the rendered data.\\n */\\n RenderedImage createScaledRendering(Long id, \\n\\t\\t\\t\\t\\tint w, \\n\\t\\t\\t\\t\\tint h, \\n\\t\\t\\t\\t\\tSerializableState hintsState) \\n\\tthrows RemoteException;\\n \\n /** \\n * Returnd a RenderedImage instance of this image with a default\\n * width and height in pixels. The RenderContext is built\\n * automatically with an appropriate usr2dev transform and an area\\n * of interest of the full image. The rendering hints are\\n * empty. createDefaultRendering may make use of a stored\\n * rendering for speed.\\n *\\n * @return a RenderedImage containing the rendered data.\\n */\\n RenderedImage createDefaultRendering(Long id) throws RemoteException;\\n \\n /** \\n * Creates a RenderedImage that represented a rendering of this image\\n * using a given RenderContext. This is the most general way to obtain a\\n * rendering of a RenderableImage.\\n *\\n *
The created RenderedImage may have a property identified\\n * by the String HINTS_OBSERVED to indicate which RenderingHints\\n * (from the RenderContext) were used to create the image.\\n * In addition any RenderedImages\\n * that are obtained via the getSources() method on the created\\n * RenderedImage may have such a property.\\n *\\n * @param renderContext the RenderContext to use to produce the rendering.\\n * @return a RenderedImage containing the rendered data.\\n */\\n RenderedImage createRendering(Long id, \\n\\t\\t\\t\\t SerializableState renderContextState) \\n\\tthrows RemoteException;\\n\\n /**\\n * Creates a RenderableOp on the server side with a parameter block\\n * empty of sources. The sources are set by separate calls depending\\n * upon the type and serializabilty of the source.\\n */\\n void createRenderableOp(Long id, String opName, ParameterBlock pb)\\n\\tthrows RemoteException;\\n\\n /**\\n * Calls for rendering of a RenderableOp with the given SerializableState\\n * which should be a RenderContextState.\\n */\\n Long getRendering(Long id, SerializableState rcs) throws RemoteException;\\n\\n /**\\n * Sets the source of the image which is on the same\\n * server\\n */\\n void setRenderableSource(Long id, Long sourceId, int index)\\n\\tthrows RemoteException;\\n\\n /**\\n * Sets the source of the image which is on a different\\n * server\\n */\\n void setRenderableSource(Long id, Long sourceId, String serverName,\\n\\t\\t\\t String opName, int index) throws RemoteException;\\n\\n /**\\n * Sets the source of the operation refered to by the supplied \\n * id to the RenderableRMIServerProxy\\n * that exists on the supplied serverName under the\\n * supplied sourceId. \\n */\\n void setRenderableRMIServerProxyAsSource(Long id,\\n\\t\\t\\t\\t\\t Long sourceId, \\n\\t\\t\\t\\t\\t String serverName,\\n\\t\\t\\t\\t\\t String opName,\\n\\t\\t\\t\\t\\t int index) throws RemoteException;\\n\\n /**\\n * Sets the source of the image as a RenderableOp on the server side.\\n */\\n void setRenderableSource(Long id, RenderableOp source,\\n\\t\\t\\t int index) throws RemoteException;\\n\\n /**\\n * Sets the source of the image as a RenderableImage on the server side.\\n */\\n void setRenderableSource(Long id, SerializableRenderableImage source,\\n\\t\\t\\t int index) throws RemoteException;\\n\\n /**\\n * Sets the source of the image as a RenderedImage on the server side\\n */\\n void setRenderableSource(Long id, RenderedImage source, int index)\\n\\tthrows RemoteException;\\n\\n /**\\n * Maps the RenderContext for the remote Image\\n */\\n SerializableState mapRenderContext(int id, Long nodeId,\\n\\t\\t\\t\\t String operationName,\\n\\t\\t\\t\\t SerializableState rcs)\\n\\tthrows RemoteException;\\n\\n /**\\n * Gets the Bounds2D of the specified Remote Image\\n */\\n SerializableState getBounds2D(Long nodeId, String operationName)\\n\\tthrows RemoteException;\\n\\n /**\\n * Returns true if successive renderings with the same\\n * arguments may produce different results for this opName\\n *\\n * @return false indicating that the rendering is static.\\n */\\n public boolean isDynamic(String opName) throws RemoteException;\\n\\n /**\\n * Returns true if successive renderings with the same\\n * arguments may produce different results for this opName\\n *\\n * @return false indicating that the rendering is static.\\n */\\n public boolean isDynamic(Long id) throws RemoteException;\\n\\n /**\\n * Gets the operation names supported on the Server\\n */\\n String[] getServerSupportedOperationNames() throws RemoteException;\\n\\n /**\\n * Gets the OperationDescriptors of the operations\\n * supported on this server.\\n */\\n List getOperationDescriptors() throws RemoteException;\\n\\n /**\\n * Calculates the region over which two distinct renderings\\n * of an operation may be expected to differ.\\n *\\n *
The class of the returned object will vary as a function of\\n * the nature of the operation. For rendered and renderable two-\\n * dimensional images this should be an instance of a class which\\n * implements java.awt.Shape.\\n *\\n * @return The region over which the data of two renderings of this\\n * operation may be expected to be invalid or null\\n * if there is no common region of validity.\\n */\\n SerializableState getInvalidRegion(Long id,\\n\\t\\t\\t\\t ParameterBlock oldParamBlock,\\n\\t\\t\\t\\t SerializableState oldHints,\\n\\t\\t\\t\\t ParameterBlock newParamBlock,\\n\\t\\t\\t\\t SerializableState newHints)\\n\\tthrows RemoteException;\\n\\n /**\\n * Returns a conservative estimate of the destination region that\\n * can potentially be affected by the pixels of a rectangle of a\\n * given source. \\n *\\n * @param id A Long identifying the node for whom\\n * the destination region needs to be calculated .\\n * @param sourceRect The Rectangle in source coordinates.\\n * @param sourceIndex The index of the source image.\\n *\\n * @return A Rectangle indicating the potentially\\n * affected destination region, or null if\\n * the region is unknown.\\n */\\n Rectangle mapSourceRect(Long id, Rectangle sourceRect, int sourceIndex)\\n\\tthrows RemoteException;\\n\\n /**\\n * Returns a conservative estimate of the region of a specified\\n * source that is required in order to compute the pixels of a\\n * given destination rectangle. \\n *\\n * @param id A Long identifying the node for whom\\n * the source region needs to be calculated .\\n * @param destRect The Rectangle in destination coordinates.\\n * @param sourceIndex The index of the source image.\\n *\\n * @return A Rectangle indicating the required source region.\\n */\\n Rectangle mapDestRect(Long id, Rectangle destRect, int sourceIndex)\\n\\tthrows RemoteException;\\n\\n /**\\n * A method that handles a change in some critical parameter.\\n */\\n Long handleEvent(Long renderedOpID, \\n\\t\\t String propName,\\n\\t\\t Object oldValue, \\n\\t\\t Object newValue) throws RemoteException;\\n\\n /**\\n * A method that handles a change in one of it's source's rendering,\\n * i.e. a change that would be signalled by RenderingChangeEvent.\\n */\\n Long handleEvent(Long renderedOpID, \\n\\t\\t int srcIndex,\\n\\t\\t SerializableState srcInvalidRegion, \\n\\t\\t Object oldRendering) throws RemoteException;\\n\\n /**\\n * Returns the server's capabilities as a\\n * NegotiableCapabilitySet. Currently the only capabilities\\n * that are returned are those of TileCodecs.\\n */\\n NegotiableCapabilitySet getServerCapabilities() throws RemoteException;\\n\\n /**\\n * Informs the server of the negotiated values that are the result of\\n * a successful negotiation.\\n *\\n * @param id An ID for the node which must be unique across all clients.\\n * @param negotiatedValues The result of the negotiation.\\n */\\n void setServerNegotiatedValues(Long id, \\n\\t\\t\\t\\t NegotiableCapabilitySet negotiatedValues)\\n\\tthrows RemoteException; \\n}\",\n \"private void getImage() {\\n StorageReference storageReference = FirebaseStorage.getInstance().getReference();\\n StorageReference photoReference = storageReference.child(\\\"images/\\\" + globals.chosenProp);\\n\\n ImageView imageView = (ImageView) findViewById(R.id.ivImage);\\n\\n final long ONE_MEGABYTE = 1024 * 1024;\\n photoReference.getBytes(ONE_MEGABYTE).addOnSuccessListener(new OnSuccessListener() {\\n @Override\\n public void onSuccess(byte[] bytes) {\\n Bitmap bmp = BitmapFactory.decodeByteArray(bytes, 0, bytes.length);\\n imageView.setImageBitmap(bmp);\\n\\n }\\n }).addOnFailureListener(new OnFailureListener() {\\n @Override\\n public void onFailure(@NonNull Exception exception) {\\n Toast.makeText(getApplicationContext(), \\\"No Such file or Path found!\\\", Toast.LENGTH_LONG).show();\\n }\\n });\\n }\",\n \"private void processImages() throws MalformedURLException, IOException {\\r\\n\\r\\n\\t\\tNodeFilter imageFilter = new NodeClassFilter(ImageTag.class);\\r\\n\\t\\timageList = fullList.extractAllNodesThatMatch(imageFilter, true);\\r\\n\\t\\tthePageImages = new HashMap();\\r\\n\\r\\n\\t\\tfor (SimpleNodeIterator nodeIter = imageList.elements(); nodeIter\\r\\n\\t\\t\\t\\t.hasMoreNodes();) {\\r\\n\\t\\t\\tImageTag tempNode = (ImageTag) nodeIter.nextNode();\\r\\n\\t\\t\\tString tagText = tempNode.getText();\\r\\n\\r\\n\\t\\t\\t// Populate imageUrlText String\\r\\n\\t\\t\\tString imageUrlText = tempNode.getImageURL();\\r\\n\\r\\n\\t\\t\\tif (imageUrlText != \\\"\\\") {\\r\\n\\t\\t\\t\\t// Print to console, to verify relative link processing\\r\\n\\t\\t\\t\\tSystem.out.println(\\\"ImageUrl to Retrieve:\\\" + imageUrlText);\\r\\n\\r\\n\\t\\t\\t\\tbyte[] imgArray = downloadBinaryData(imageUrlText);\\r\\n\\r\\n\\t\\t\\t\\tthePageImages.put(tagText, imgArray);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t}\",\n \"PImage getImage() {\\n return _img;\\n }\",\n \"com.yahoo.xpathproto.TransformTestProtos.ContentImage getImageByHandler();\",\n \"@Override\\n\\tpublic boolean baseToImg() {\\n\\t\\tList imgList = imageRepository.findAll();\\n\\t\\tfor (Image img : imgList) {\\n\\t\\t\\tString base = img.getSource();\\n\\t\\t\\tFiles file = new Files(img.getSaegimId(), \\\"jpg\\\");\\n\\t\\t\\tfile = fileRepository.save(file);\\n\\t\\t\\tLong fileId = file.getId();\\n\\t\\t\\t\\n\\t\\t\\tBase64ToImgDecoder.decoder(base, dir + fileId + '.' + \\\"jpg\\\");\\n\\t\\t}\\n\\t\\treturn true;\\n\\t}\",\n \"public Image call() throws IOException;\",\n \"public interface ImageStatusService {\\n\\n /**\\n * 状态变化处理操作\\n */\\n void changeHandle(String id, Integer type);\\n}\",\n \"public void store_image(Images image) {\\n\\t\\tir.save(image);\\n\\t}\",\n \"@Override\\n\\tpublic Image getImage() {\\n\\t\\treturn image;\\n\\t}\",\n \"com.yahoo.xpathproto.TransformTestProtos.ContentImageOrBuilder getImageByHandlerOrBuilder();\",\n \"public void setImage(Image img) {\\r\\n this.img = img;\\r\\n }\",\n \"@Override\\n\\tpublic File getImage(String name) {\\n\\n\\t\\tFile returnValue = new File(RestService.imageDirectory + name + \\\".png\\\");\\n\\t\\t\\n\\t\\tif(returnValue.exists() && !returnValue.isDirectory()) \\n\\t\\t{ \\n\\t\\t return returnValue;\\n\\t\\t}\\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\treturnValue = new File(RestService.imageDirectory + name + \\\".jpg\\\");\\n\\t\\t\\t\\n\\t\\t\\tif(returnValue.exists() && !returnValue.isDirectory()) \\n\\t\\t\\t{ \\n\\t\\t\\t return returnValue;\\n\\t\\t\\t}\\n\\t\\t\\telse\\n\\t\\t\\t{\\n\\t\\t\\t\\treturn null;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public interface ImageRenderer {\\n /** Set displayed image from ImageProvider. This method is recommended,\\n * because it allows the Rendered to choose the most efficient transfer\\n * format. \\n */\\n void setImageFromSpec(ImageProvider spec);\\n\\n /** Set displayed image from buffered image. */\\n void setImage(BufferedImage i);\\n \\n /** \\n * Specify whether rendering should keep the aspect ratio of the image. \\n * If no, it well be stretched to the display surface. If yes, borders\\n * may occur, if the aspect ratio of surface and source image are different.\\n * The default is false.\\n */\\n public void setKeepAspectRatio(boolean keepAspect);\\n \\n /**\\n * Setter for property imageLocation.\\n * @param imageLocation New value of property imageLocation.\\n */\\n void setImageLocation(URL imageLocation) throws IOException;\\n\\n /**\\n * Setter for property imageResource.\\n * @param imageResource New value of property imageResource.\\n */\\n void setImageResource(String imageResource) throws IOException;\\n\\n}\",\n \"public interface ImageMetadataService {\\n\\n List getArtistsByPrediction(String name, String name2, String surname);\\n\\n List getImageTypesByPrediction(String name);\\n\\n UploadImageMetadataDTO saveMetadata(UploadImageMetadataDTO uploadImageMetadataDTO);\\n\\n List getTop10Images(String username, String title);\\n\\n List getAllUserImages(String username);\\n\\n List searchImagesByCriteria(SearchImageCriteriaDTO searchImageCriteriaDTO);\\n\\n ImageDTO updateImageMetadata(ImageDTO imageDTO);\\n\\n List getImagesTop50();\\n\\n void rateImage(RateImageDTO rateImageDTO);\\n\\n List getAllImages();\\n}\",\n \"public void setImage(int imageId) {\\n this.imageId=imageId;\\n\\t}\",\n \"public interface FaroProfileImageDo {\\n URL getPublicUrl();\\n ImageProvider getImageProvider();\\n boolean isThumbnail();\\n}\",\n \"java.lang.String getImagePath();\",\n \"String getImagePath();\",\n \"String getImagePath();\",\n \"WorldImage getImage();\",\n \"public void displayImage() {\\n RealImage real = new RealImage(url);\\n real.displayImage();\\n }\",\n \"public interface Images extends ClientBundle {\\n\\n\\t\\t@Source(\\\"gr/grnet/pithos/resources/mimetypes/document.png\\\")\\n\\t\\tImageResource fileContextMenu();\\n\\n\\t\\t@Source(\\\"gr/grnet/pithos/resources/doc_versions.png\\\")\\n\\t\\tImageResource versions();\\n\\n\\t\\t@Source(\\\"gr/grnet/pithos/resources/groups22.png\\\")\\n\\t\\tImageResource sharing();\\n\\n\\t\\t@Source(\\\"gr/grnet/pithos/resources/border_remove.png\\\")\\n\\t\\tImageResource unselectAll();\\n\\n\\t\\t@Source(\\\"gr/grnet/pithos/resources/demo.png\\\")\\n\\t\\tImageResource viewImage();\\n\\n @Source(\\\"gr/grnet/pithos/resources/folder_new.png\\\")\\n ImageResource folderNew();\\n\\n @Source(\\\"gr/grnet/pithos/resources/folder_outbox.png\\\")\\n ImageResource fileUpdate();\\n\\n @Source(\\\"gr/grnet/pithos/resources/view_text.png\\\")\\n ImageResource viewText();\\n\\n @Source(\\\"gr/grnet/pithos/resources/folder_inbox.png\\\")\\n ImageResource download();\\n\\n @Source(\\\"gr/grnet/pithos/resources/trash.png\\\")\\n ImageResource emptyTrash();\\n\\n @Source(\\\"gr/grnet/pithos/resources/refresh.png\\\")\\n ImageResource refresh();\\n\\n /**\\n * Will bundle the file 'editcut.png' residing in the package\\n * 'gr.grnet.pithos.web.resources'.\\n *\\n * @return the image prototype\\n */\\n @Source(\\\"gr/grnet/pithos/resources/editcut.png\\\")\\n ImageResource cut();\\n\\n /**\\n * Will bundle the file 'editcopy.png' residing in the package\\n * 'gr.grnet.pithos.web.resources'.\\n *\\n * @return the image prototype\\n */\\n @Source(\\\"gr/grnet/pithos/resources/editcopy.png\\\")\\n ImageResource copy();\\n\\n /**\\n * Will bundle the file 'editpaste.png' residing in the package\\n * 'gr.grnet.pithos.web.resources'.\\n *\\n * @return the image prototype\\n */\\n @Source(\\\"gr/grnet/pithos/resources/editpaste.png\\\")\\n ImageResource paste();\\n\\n /**\\n * Will bundle the file 'editdelete.png' residing in the package\\n * 'gr.grnet.pithos.web.resources'.\\n *\\n * @return the image prototype\\n */\\n @Source(\\\"gr/grnet/pithos/resources/editdelete.png\\\")\\n ImageResource delete();\\n\\n /**\\n * Will bundle the file 'translate.png' residing in the package\\n * 'gr.grnet.pithos.web.resources'.\\n *\\n * @return the image prototype\\n */\\n @Source(\\\"gr/grnet/pithos/resources/translate.png\\\")\\n ImageResource selectAll();\\n \\n @Source(\\\"gr/grnet/pithos/resources/internet.png\\\")\\n ImageResource internet();\\n }\",\n \"public Image getImage(String key)\\n {\\n return imageRegistry.get(key);\\n }\",\n \"private void createImageCache(){\\n ImageCacheManager.getInstance().init(this,\\n this.getPackageCodePath()\\n , DISK_IMAGECACHE_SIZE\\n , DISK_IMAGECACHE_COMPRESS_FORMAT\\n , DISK_IMAGECACHE_QUALITY\\n , ImageCacheManager.CacheType.MEMORY);\\n }\",\n \"private void enhanceImage(){\\n }\",\n \"String getItemImage();\",\n \"public void Func_imagefile(){\\n\\n\\t\\tswf_env.containImg = true;\\n\\n\\n\\t\\tthis.value = new SWFValue(\\\"Func\\\");\\n\\n\\t\\tString path = this.getAtt(\\\"path\\\", \\\".\\\");\\n\\t\\tString filename = this.getAtt(\\\"default\\\");\\n\\t\\tString type = \\\"auto\\\";\\n\\t\\tvalue.instanceName = \\\"img\\\"+ Integer.toString(swf_env.instanceID);\\n\\t\\tvalue.data = \\\"\\\";\\n\\t\\tvalue.imgpath = path + \\\"/\\\" + filename;\\n\\t\\tvalue.inter_imgpath = path + \\\"/\\\" + filename;\\n\\t\\tvalue.inter_name = \\\"intimg\\\" + Integer.toString(swf_env.interactionImgNUM);\\n\\t\\tvalue.tmp = \\\"tmp\\\" + Integer.toString(swf_env.interactionImgNUM);\\n\\t\\tvalue.lnum = Integer.toString(swf_env.visibleflag_counter);\\n\\n\\n\\t\\tif(!path.startsWith(\\\"/\\\")) {\\n\\t\\t\\tString basedir = GlobalEnv.getBaseDir();\\n\\t\\t\\tLog.out(\\\"basedir= \\\" +basedir);\\n\\t\\t\\tif(basedir != null && basedir != \\\"\\\") {\\n\\t\\t\\t\\tpath = basedir + path;\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tString filepath = path + \\\"/\\\" + filename;\\n\\n\\n\\t\\tsetDecoration1();\\n\\t\\tvalue.margin = margin;\\n\\n\\n\\t\\tSystem.out.println(\\\"filepath = \\\"+filepath);\\n\\t\\tint img = swf_env.open_image_file(type, filepath);\\n\\t\\tvalue.img = img;\\n\\n\\t\\tdata_width = swf_env.get_value(\\\"imagewidth\\\", img);\\n\\t\\tdata_height = swf_env.get_value(\\\"imageheight\\\", img);\\n\\t\\tSystem.out.println(\\\"imagesize: \\\"+data_width+\\\" \\\"+data_height);\\n\\t\\twidth = data_width + margin * 2;\\n\\t\\theight = data_height + margin * 2;\\n\\n\\n\\t\\tsetDecoration2();\\n\\n\\t\\tif(data_width > width){\\n\\t\\t\\tint original_width = data_width;\\n\\t\\t\\tdata_width = width - margin * 2;\\n\\t\\t\\tint scale = data_width / original_width;\\n\\t\\t\\tdata_height = data_height * scale;\\n\\t\\t\\theight = data_height + margin * 2;\\n\\t\\t}\\n\\t\\tif(data_height > height){\\n\\t\\t\\tint original_height = data_height;\\n\\t\\t\\tdata_height = height - margin * 2;\\n\\t\\t\\tint scale = data_height / original_height;\\n\\t\\t\\tdata_width = data_width * scale;\\n\\t\\t\\twidth = data_width + margin * 2;\\n\\t\\t}\\n\\n\\t\\tvalue.data_width = data_width;\\n\\t\\tvalue.data_height = data_height;\\n\\t\\tvalue.width = width;\\n\\t\\tvalue.height = height;\\n\\t\\t//morya wrote\\n\\t\\tvalue.int_w = width;\\n\\t\\tvalue.int_h = height;\\n\\n\\n\\t\\tsetDecoration3();\\n\\n\\t\\tswf_env.tmp_width = width;\\n\\t\\tswf_env.tmp_height = height;\\n\\n\\n\\t\\tswf_env.instanceID++;\\n\\n\\t}\",\n \"GetImagesResult getImages(GetImagesRequest getImagesRequest);\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\t\\timg = new ImageClass();\\r\\n\\t\\timg.Init(imgPath);\\r\\n\\t}\",\n \"Builder addImage(URL value);\",\n \"public ImageHandler(Group nGroup){\\n\\t /* Set up the group reference */\\n\\t\\tgroup = nGroup;\\n\\t\\t\\n\\t\\t/* Instantiate the list of images */\\n\\t\\timages = new ArrayList();\\n\\t}\",\n \"public int getImageId(){\\n \\t\\treturn imageId;\\n \\t}\",\n \"void setImageFromFile(File imageFile);\",\n \"public Image getBassClef();\",\n \"public Image getImage() {\\r\\n return image;\\r\\n }\",\n \"public Img getImage(long id){\\n\\n Img imageObj = null;\\n\\n List imgList = null;\\n imgList = Img.getImageList(id);\\n if(imgList!=null && imgList.size()>0) {\\n\\n imageObj = imgList.get(0);\\n }\\n return imageObj;\\n }\",\n \"public ImageInfo getImage() {\\n return image;\\n }\",\n \"public void openImage() {\\t\\n\\t\\ttry {\\n\\t\\t\\timg.openImage(list);\\n\\t\\t} \\t\\n\\n\\t\\tcatch (BrokenImageException ex) {\\n\\t\\t\\ttry{\\n\\t\\t\\t\\tif(!validImageContent())\\n\\t\\t\\t\\t\\tthrow new BadImageContentException(\\\"The image is broken \\\"\\n\\t\\t\\t\\t\\t\\t\\t+ \\\"due to corrupt content\\\");\\n\\t\\t\\t\\tif(!validImageHeader())\\n\\t\\t\\t\\t\\tthrow new BadImageHeaderException(\\\"The image is broken\\\"\\n\\t\\t\\t\\t\\t\\t\\t+ \\\" due to a damaged header\\\");\\n\\t\\t\\t}\\n\\t\\t\\tcatch (Exception e) {\\n\\t\\t\\t\\tSystem.out.println(\\n\\t\\t\\t\\t\\t\\t\\\"Please catch the proper Image-related Exception.\\\");\\n\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public interface IImageMetadata {\\n\\n public String getImageType();\\n\\n public void setImageType(String imageType);\\n\\n public String getFilename();\\n\\n public void setFilename(String filename);\\n\\n public DateTime getLastModified();\\n\\n public void setLastModified(DateTime d);\\n\\n public DateTime getCreated();\\n\\n public void setCreated(DateTime d);\\n\\n public long getSize();\\n\\n public void setSize(long size);\\n\\n public String getReadableSize();\\n\\n}\",\n \"public interface ImageService {\\n\\n void saveImageFile(Long recipeId, MultipartFile imageFile);\\n}\",\n \"public interface Image {\\n void display();\\n}\",\n \"public abstract Image gen();\",\n \"public ImageFile(BufferedImage img) throws ImageException{\\r\\n\\tloadImage(img);\\r\\n}\",\n \"public interface ImagePathCallback {\\n\\n File createPhotoFile();\\n}\",\n \"Images getImages(){\\n return images;\\n }\",\n \"public void initializeImages() {\\n\\n File dir = new File(\\\"Images\\\");\\n if (!dir.exists()) {\\n boolean success = dir.mkdir();\\n System.out.println(\\\"Images directory created!\\\");\\n }\\n }\",\n \"@Override\\n\\tpublic String addImage(String imageFileName) throws Exception {\\n\\t\\treturn null;\\n\\t}\",\n \"public interface ImageSearchService {\\n\\n /**\\n * Register an image into the search instance.\\n *\\n * @param imageData Image data in JPEG or PNG format.\\n * @param imageType Image format.\\n * @param uuid Unique identifier of the image.\\n */\\n void register(byte[] imageData, ObjectImageType imageType, String uuid);\\n\\n /**\\n * Un-register an image from the search instance.\\n *\\n * @param uuid Unique identifier of the image.\\n */\\n void unregister(String uuid);\\n\\n /**\\n * Find all images similar to the given one.\\n *\\n * @param imageData Image to match with registered ones in the search instance.\\n * @param objectRegion object region to search.\\n * @return Found images UUIDs and raw response.\\n */\\n ImageSearchResponse findAllBySimilarImage(byte[] imageData, ImageRegion objectRegion);\\n\\n /**\\n * Check the image search configuration is correct by making a fake search request.\\n *\\n * @param configuration Configuration to check.\\n */\\n void checkImageSearchConfiguration(Configuration configuration) throws InvalidConfigurationException;\\n}\",\n \"abstract public String getImageKey();\",\n \"void setImage(String image);\",\n \"public Image getImage()\\n {\\n return null;\\n }\",\n \"public ImageSection() { // required by the SessionLoader (should not be used elsewhere)\\n hasImage = new HasImage();\\n }\",\n \"public String getImage() {\\n return image;\\n }\",\n \"public String getImage()\\n {\\n return image;\\n }\",\n \"interface Image {\\n public void displayImage();\\n}\",\n \"public Image getImage() {\\n return image;\\n }\",\n \"File resolveImage(Box box);\",\n \"public ImageDescriptor getImageDescriptor();\",\n \"private void prepararImagenYStorage() {\\n mImageBitmap = null;\\n\\n //this.capturarFotoButton = (Button) findViewById(R.id.capturarFotoButton);\\n// setBtnListenerOrDisable(\\n// this.capturarFotoButton,\\n// mTakePicSOnClickListener,\\n// MediaStore.ACTION_IMAGE_CAPTURE\\n// );\\n\\n if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.FROYO) {\\n mAlbumStorageDirFactory = new FroyoAlbumDirFactory();\\n } else {\\n mAlbumStorageDirFactory = new BaseAlbumDirFactory();\\n }\\n }\"\n]"},"negative_scores":{"kind":"list like","value":["0.7065172","0.70085937","0.6988589","0.6988502","0.6988502","0.69589835","0.6878953","0.68691885","0.6858916","0.6822963","0.67657113","0.6718163","0.6647028","0.6642816","0.66414154","0.65673184","0.6516768","0.6503093","0.6500162","0.64739186","0.6457557","0.6449454","0.64449406","0.6435864","0.64310056","0.642875","0.63966835","0.639179","0.63771605","0.6360746","0.6341896","0.6341896","0.6341896","0.63417405","0.6341487","0.632268","0.63043964","0.62991244","0.6289309","0.627031","0.6264679","0.6264238","0.6253422","0.6235201","0.62287235","0.6226592","0.6216243","0.6211801","0.62079215","0.61929226","0.61886376","0.6186725","0.6185907","0.617303","0.61723566","0.6168704","0.6160826","0.61590475","0.6157039","0.6148932","0.6148932","0.6147686","0.6141061","0.6122311","0.61046004","0.6103654","0.61029905","0.6090157","0.60894364","0.60620564","0.60558987","0.60509324","0.6049061","0.6045921","0.60440606","0.60405135","0.6037619","0.6037138","0.6033153","0.60315484","0.6027302","0.6023485","0.6021848","0.601086","0.6010332","0.6008408","0.6005502","0.5997745","0.59959733","0.599561","0.5993083","0.5993002","0.599228","0.59890866","0.59838736","0.59826064","0.59812057","0.59807473","0.59759486","0.59745526","0.5974264"],"string":"[\n \"0.7065172\",\n \"0.70085937\",\n \"0.6988589\",\n \"0.6988502\",\n \"0.6988502\",\n \"0.69589835\",\n \"0.6878953\",\n \"0.68691885\",\n \"0.6858916\",\n \"0.6822963\",\n \"0.67657113\",\n \"0.6718163\",\n \"0.6647028\",\n \"0.6642816\",\n \"0.66414154\",\n \"0.65673184\",\n \"0.6516768\",\n \"0.6503093\",\n \"0.6500162\",\n \"0.64739186\",\n \"0.6457557\",\n \"0.6449454\",\n \"0.64449406\",\n \"0.6435864\",\n \"0.64310056\",\n \"0.642875\",\n \"0.63966835\",\n \"0.639179\",\n \"0.63771605\",\n \"0.6360746\",\n \"0.6341896\",\n \"0.6341896\",\n \"0.6341896\",\n \"0.63417405\",\n \"0.6341487\",\n \"0.632268\",\n \"0.63043964\",\n \"0.62991244\",\n \"0.6289309\",\n \"0.627031\",\n \"0.6264679\",\n \"0.6264238\",\n \"0.6253422\",\n \"0.6235201\",\n \"0.62287235\",\n \"0.6226592\",\n \"0.6216243\",\n \"0.6211801\",\n \"0.62079215\",\n \"0.61929226\",\n \"0.61886376\",\n \"0.6186725\",\n \"0.6185907\",\n \"0.617303\",\n \"0.61723566\",\n \"0.6168704\",\n \"0.6160826\",\n \"0.61590475\",\n \"0.6157039\",\n \"0.6148932\",\n \"0.6148932\",\n \"0.6147686\",\n \"0.6141061\",\n \"0.6122311\",\n \"0.61046004\",\n \"0.6103654\",\n \"0.61029905\",\n \"0.6090157\",\n \"0.60894364\",\n \"0.60620564\",\n \"0.60558987\",\n \"0.60509324\",\n \"0.6049061\",\n \"0.6045921\",\n \"0.60440606\",\n \"0.60405135\",\n \"0.6037619\",\n \"0.6037138\",\n \"0.6033153\",\n \"0.60315484\",\n \"0.6027302\",\n \"0.6023485\",\n \"0.6021848\",\n \"0.601086\",\n \"0.6010332\",\n \"0.6008408\",\n \"0.6005502\",\n \"0.5997745\",\n \"0.59959733\",\n \"0.599561\",\n \"0.5993083\",\n \"0.5993002\",\n \"0.599228\",\n \"0.59890866\",\n \"0.59838736\",\n \"0.59826064\",\n \"0.59812057\",\n \"0.59807473\",\n \"0.59759486\",\n \"0.59745526\",\n \"0.5974264\"\n]"},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":126681,"cells":{"query":{"kind":"string","value":"scope: first level classification"},"document":{"kind":"string","value":"public ArrayList GetDomain()\r\n\t\t{\r\n\t\t\tArrayList res = null;\r\n query.settype(MsgId.GET_DOMAIN);\r\n query.setdomlist(null);\r\n query.setrettype(RetID.INVALID);\r\n\t\t\t\r\n\t\t\ttry {\r\n\t\t\t scon.sendmsg(query);\r\n\t\t\t MessageObject result = (MessageObject) scon.getmsg(query);\r\n\t\t\t \r\n\t\t\t if (result.getrettype() == RetID.DOMAIN_LIST) {\r\n\t\t\t \t res = result.getdomlist();\r\n\t\t\t }\r\n\t\t\t} catch (IOException e) {\r\n\t\t\t\tHandleException(e, MsgId.GET_DOMAIN);\r\n\t\t\t\t\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\treturn res;\r\n\t\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["static void EnterScope(){\r\n\t\tcurLevel++;\r\n\t\tScope scope = new Scope(curLevel);\r\n\t\t//scope.nextAdr = 3;\r\n\t\ttopScope.ant = scope;\r\n\t\tscope.sig = topScope; \r\n\t\ttopScope = scope;\r\n }","String getScope();","public abstract String\n openScope\n (\n boolean first, \n int level \n );","Scope createScope();","public void enterScope(){\n\t\tscope.add(0, new ArrayList());\n\t\t++scopeLevel;\n\t}","public abstract List generateFactorScopes(State state);","Classifier getBase_Classifier();","boolean isScope();","@Override\n public void readAhead(DescriptorScope scope) {\n }","@VTID(7)\n void treeScope(\n mmarquee.automation.uiautomation.TreeScope scope);","public interface RelationalClassifier extends Classifier {\r\n}","public int getScope() {\r\n\t\treturn scope;\r\n\t}","public DefaultScopeDescriptionTest() {\n }","public T caseStatechartScope(StatechartScope object) {\r\n\t\treturn null;\r\n\t}","public T caseSimpleScope(SimpleScope object) {\r\n\t\treturn null;\r\n\t}","ScopeEvaluationCondition getScope();","Integer classify(LogicGraph pce);","@VTID(6)\n mmarquee.automation.uiautomation.TreeScope treeScope();","org.landxml.schema.landXML11.ClassificationDocument.Classification addNewClassification();","protected Scope computeEnclosingScope()\n/* */ {\n/* 48 */ Class localClass1 = (Class)getRecvr();\n/* */ \n/* 50 */ Method localMethod = localClass1.getEnclosingMethod();\n/* 51 */ if (localMethod != null)\n/* */ {\n/* */ \n/* 54 */ return MethodScope.make(localMethod);\n/* */ }\n/* 56 */ Constructor localConstructor = localClass1.getEnclosingConstructor();\n/* 57 */ if (localConstructor != null)\n/* */ {\n/* */ \n/* 60 */ return ConstructorScope.make(localConstructor);\n/* */ }\n/* 62 */ Class localClass2 = localClass1.getEnclosingClass();\n/* */ \n/* */ \n/* 65 */ if (localClass2 != null)\n/* */ {\n/* */ \n/* 68 */ return make(localClass2);\n/* */ }\n/* */ \n/* */ \n/* 72 */ return DummyScope.make();\n/* */ }","public void OpenScope(){\n Scope newScope = new Scope();\n currentScope.AddChildScope(newScope);\n currentScope = newScope;\n }","protected void initScopeInfo()\n {\n String className = null;\n Object target = getTarget();\n if (target != null)\n className = target.getClass().getName();\n setScopeInfo(new AbstractScopeInfo(getName(), className));\n }","public BaseScope() {\n\t}","public OntologyScope getScope(IRI scopeID);","public T caseScope(Scope object) {\r\n\t\treturn null;\r\n\t}","public void test_ck_02() {\n OntModel vocabModel = ModelFactory.createOntologyModel();\n ObjectProperty p = vocabModel.createObjectProperty(\"p\");\n OntClass A = vocabModel.createClass(\"A\");\n \n OntModel workModel = ModelFactory.createOntologyModel();\n Individual sub = workModel.createIndividual(\"uri1\", A);\n Individual obj = workModel.createIndividual(\"uri2\", A);\n workModel.createStatement(sub, p, obj);\n }","public void newScope() {\n Map scope = new HashMap();\n scopes.push(scope);\n Map typeScope = new HashMap();\n typeScopes.push(typeScope);\n }","public static void main(String[] args) {\n\t\tScope obj = new Scope();\n\n\t\tobj.test1();\n\t\t\n\t\tobj.test2();\n\t\t\n\t\tScope.test2();\n\t}","public Scope getScope() {\n return scope;\n }","public Scope getScope() {\n return scope;\n }","public Scope getScope() {\n return scope;\n }","@Override\n public boolean predicate2(Object dm, Designer dsgr) {\n if (!(Model.getFacade().isAClassifier(dm))) {\n return NO_PROBLEM;\n }\n if (!(Model.getFacade().isPrimaryObject(dm))) {\n return NO_PROBLEM;\n }\n\n // If the classifier does not have a name,\n // then no problem - the model is not finished anyhow.\n if ((Model.getFacade().getName(dm) == null)\n\t || (\"\".equals(Model.getFacade().getName(dm)))) {\n return NO_PROBLEM;\n\t}\n\n // Abstract elements do not necessarily require associations\n if (Model.getFacade().isAGeneralizableElement(dm)\n\t && Model.getFacade().isAbstract(dm)) {\n return NO_PROBLEM;\n }\n\n // Types can probably have associations, but we should not nag at them\n // not having any.\n // utility is a namespace collection - also not strictly required\n // to have associations.\n if (Model.getFacade().isType(dm)) {\n return NO_PROBLEM;\n }\n if (Model.getFacade().isUtility(dm)) {\n return NO_PROBLEM;\n }\n\n // See issue 1129: If the classifier has dependencies,\n // then mostly there is no problem. \n if (Model.getFacade().getClientDependencies(dm).size() > 0) {\n return NO_PROBLEM;\n }\n if (Model.getFacade().getSupplierDependencies(dm).size() > 0) {\n return NO_PROBLEM;\n }\n \n // special cases for use cases\n // Extending use cases and use case that are being included are\n // not required to have associations.\n if (Model.getFacade().isAUseCase(dm)) {\n Object usecase = dm;\n Collection includes = Model.getFacade().getIncludes(usecase);\n if (includes != null && includes.size() >= 1) {\n return NO_PROBLEM;\n }\n Collection extend = Model.getFacade().getExtends(usecase);\n if (extend != null && extend.size() >= 1) {\n return NO_PROBLEM;\n }\n }\n \n \n\n //TODO: different critic or special message for classes\n //that inherit all ops but define none of their own.\n\n if (findAssociation(dm, 0)) {\n return NO_PROBLEM;\n }\n return PROBLEM_FOUND;\n }","public tudresden.ocl20.core.jmi.ocl.commonmodel.Classifier commonSuperType(tudresden.ocl20.core.jmi.ocl.commonmodel.Classifier c) {\n \n\tif (this.conformsTo(c)) { return c; }\n\tif (c.conformsTo(this)) { return this; }\n Set thisParents = new HashSet(); ;\n thisParents.add(this);\n Set cParents = new HashSet(); ;\n cParents.add(c);\n \n //the transitive closure of the Classifier and all of its parents\n Set thisTC = new HashSet();\n Set cTC = new HashSet();\n \n while(!(thisParents.isEmpty() && cParents.isEmpty())){\n thisTC.addAll(thisParents);\n cTC.addAll(cParents);\n \n Set thisParentsTemp = new HashSet();\n Iterator thisParentsIt = thisParents.iterator();\n while(thisParentsIt.hasNext()){\n tudresden.ocl20.core.jmi.ocl.commonmodel.Classifier aThisParent = (tudresden.ocl20.core.jmi.ocl.commonmodel.Classifier) thisParentsIt.next();\n if(cTC.contains(aThisParent)){\n return aThisParent;\n }\n thisParentsTemp.addAll(aThisParent.getParents());\n }\n thisParents=thisParentsTemp;\n \n Set cParentsTemp = new HashSet();\n Iterator cParentsIt = cParents.iterator();\n while(cParentsIt.hasNext()){\n tudresden.ocl20.core.jmi.ocl.commonmodel.Classifier aCParent = (tudresden.ocl20.core.jmi.ocl.commonmodel.Classifier) cParentsIt.next();\n if(thisTC.contains(aCParent)){\n return aCParent;\n }\n cParentsTemp.addAll(aCParent.getParents());\n }\n cParents=cParentsTemp;\n }\n return null; //should only occure if c is a collection type\n }","public void pushScope() {\n\t\tscopeStack.add(new Scope());\n\t\t\n\t}","private void initDepthToClass(OWLOntologyManager manager, OWLOntology ont, int depth) {\n\n\t\t// Are there lower \"level\"\n\t\tboolean areThereLower = true;\n\n\t\t// Save the current top classes (subclasses of top)\n\t\tSet classes = reasoner.getSubClasses(df.getOWLThing(), true).entities().collect(Collectors.toSet());\n\n\t\t// as long as there are lower level\n\t\twhile (areThereLower) {\n\n\t\t\t// Save this new subclasses as the classes for this depth\n\t\t\tdepthToClasses.put(depth, classes);\n\n\t\t\t// Create a List for the next level\n\t\t\tSet newClasses = new HashSet<>();\n\n\t\t\t// For all classes of the current level\n\t\t\tfor (OWLClass cls : classes) {\n\n\t\t\t\t// Get all subclasses\n\t\t\t\tList subForCls = reasoner.getSubClasses(cls, true).entities().collect(Collectors.toList());\n\n\t\t\t\t// Add them to the next level\n\t\t\t\tnewClasses.addAll(subForCls);\n\n\t\t\t\t// save parent structure\n\t\t\t\tsubForCls.stream().forEach(subCls -> {\n\t\t\t\t\tclassToParent.put(subCls, cls);\n\t\t\t\t\tclassToParentString.put(OntologyDescriptor.getCleanNameOWLObj(subCls),\n\t\t\t\t\t\t\tOntologyDescriptor.getCleanNameOWLObj(cls));\n\t\t\t\t});\n\n\t\t\t}\n\n\t\t\t// Set the new level as the current level\n\t\t\tclasses = newClasses;\n\n\t\t\t// Next level index\n\t\t\tdepth++;\n\n\t\t\t// If there are less than 1 new class stop this loop\n\t\t\tif (newClasses.size() < 1) {\n\t\t\t\tareThereLower = false;\n\t\t\t}\n\n\t\t}\n\t}","public DefaultScopeDescription() {\n }","Classifier getClassifier();","@Override\r\n\tpublic Set eClosure(NFAState s) {\r\n\t\tSet l = new HashSet<>();\r\n\t\treturn depthFirstSearch(l, s);\r\n\t}","public static String containsScope(String line) {\n for (int i = 0; i < ApexDoc.rgstrScope.length; i++) {\n String scope = ApexDoc.rgstrScope[i].toLowerCase();\n\n // if line starts with annotations, replace them, so\n // we can accurately use startsWith to match scope.\n line = stripAnnotations(line);\n line = line.toLowerCase().trim();\n\n // see if line starts with registered scopes.\n if (line.startsWith(scope + \" \")) {\n return scope;\n }\n\n // match implicitly private lines\n else if (scope.equals(ApexDoc.PRIVATE)) {\n // match static props or methods:\n if (line.startsWith(\"static \")) {\n return ApexDoc.PRIVATE;\n }\n\n // match methods that start with\n // keywords or return primitive types:\n for (String keyword : KEYWORDS) {\n if (line.startsWith(keyword + \" \") && line.contains(\"(\")) {\n return ApexDoc.PRIVATE;\n }\n }\n\n // match metehods that return collections:\n for (String collection : COLLECTIONS) {\n if (line.matches(\"^\" + collection + \"<.+>\\\\s.*\") && line.contains(\"(\")) {\n return ApexDoc.PRIVATE;\n }\n }\n }\n }\n return null;\n }","public interface Scope {\n\t\n\tpublic static final String PHOTO = \"photo\";\n\tpublic static final String MESSAGE = \"message\";\n\tpublic static final String FRIENDS = \"friends\";\n\tpublic static final String ACCOUNT = \"account\";\n\tpublic static final String NOTIFICATION = \"notification\";\n\tpublic static final String APPLICATION = \"application\";\n\tpublic static final String STREAM = \"stream\";\n\tpublic static final String PERSON_INFO = \"person_info\";\n\t\n\t\n}","Set getSubclasses(Concept concept);","public CondensedDependencyNode condense() {\r\n\t\t\r\n\t\t// IF the whole subtree is made up of same quantifiers return one node with them all\r\n\t\t// included\r\n\t\tif(this.homogenousSubtree()) {\r\n\t\t\tCondensedDependencyNode n = new CondensedDependencyNode(this.type);\r\n\t\t\tfor(DependencyNode d : this.allSubnodes()) {\r\n\t\t\t\tn.variables.add(d.variable);\r\n\t\t\t}\r\n\t\t\treturn n;\r\n\t\t}\r\n\t\t\r\n\t\t\r\n\t\t\r\n\t\tswitch(children.size()) {\r\n\t\t\tcase 0:\r\n\t\t\t\t// Cant be. homogenousSubtree would have returned already\r\n\t\t\t\tassert(false);\r\n\t\t\t\tlogger.fatal(\"Algorithm fail... Contact Author.\");\r\n\t\t\t\tthrow new RuntimeException();\r\n\t\t\tcase 1:\r\n\t\t\t\tCondensedDependencyNode n = new CondensedDependencyNode(this.type);\r\n\t\t\t\tDependencyNode current = this;\r\n\t\t\t\t\r\n\t\t\t\twhile(current.type == this.type && current.children.size() == 1) {\r\n\t\t\t\t\tn.variables.add(current.variable);\r\n\t\t\t\t\t\r\n\t\t\t\t\tcurrent = current.children.get(0);\r\n\t\t\t\t}\r\n\t\t\t\tCondensedDependencyNode cd = current.condense();\r\n\t\t\t\tn.addChild(cd);\r\n\t\t\t\t\r\n\t\t\t\tif(n.type == NodeType.ROOT)\r\n\t\t\t\t\tn.setDepth(0);\r\n\t\t\t\treturn n;\r\n\t\t\tcase 2:\r\n\t\t\t\tCondensedDependencyNode n1 = new CondensedDependencyNode(this.type);\r\n\t\t\t\tn1.variables.add(this.variable);\r\n\t\t\t\t\r\n\t\t\t\tCondensedDependencyNode cdn0 = this.children.get(0).condense();\r\n\t\t\t\tCondensedDependencyNode cdn1 = this.children.get(1).condense();\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t// NEW\r\n//\t\t\t\tif(cdn0.type == this.type)\r\n//\t\t\t\t\tn1.variables.addAll(cdn0.variables);\r\n//\t\t\t\t\t\r\n//\t\t\t\telse \r\n//\t\t\t\t\tn1.addChild(cdn0);\r\n//\t\t\t\t\r\n//\t\t\t\tif(cdn1.type == this.type)\r\n//\t\t\t\t\tn1.variables.addAll(cdn1.variables);\r\n//\t\t\t\telse \r\n//\t\t\t\t\tn1.addChild(cdn1);\r\n//\t\t\t\t\r\n\t\t\t\t// Original\r\n\t\t\t\t n1.addChild(this.children.get(0).condense());\r\n\t\t\t\t n1.addChild(this.children.get(1).condense());\r\n\t\t\t\treturn n1;\r\n\t\t\tdefault:\r\n\t\t\t\tassert(false);\r\n\t\t\t\tlogger.fatal(\"A DependencyNode must not have more than 3 childnodes.\");\r\n\t\t\t\tthrow new RuntimeException();\r\n\t\t}\r\n\t}","String getConvention(String type) {\n\t\tfor (int i = scopeStack.size() - 1; i >= 0; i--) {\n\t\t\tScope scope = scopeStack.elementAt(i);\n\t\t\tString prefix = scope.getConvention(type);\n\t\t\tif (prefix != null) return prefix;\n\t\t}\n\t\t\n\t\treturn null;\n\t}","void nest();","@Before\n\tpublic void buildCategories()\n\t{\n\t\t// make a root node for the tree (i.e. like a franchise in the CR data set\n\t\tCategoryNode rootParent = null;\n\t\taRootCategory = new CategoryNode(\"rootCategoryId\", \"rootCategoryName\", rootParent);\n\t\t\n\t\t// Add a subtree containing a singleton. The singleton should get removed\n\t\tCategoryNode singleton = new CategoryNode(\"singletonId\", \"singletonName\", aRootCategory);\n\t\taRootCategory.addSubcategory(singleton);\n\t\tCategoryNode childOfSingleton = new CategoryNode(\"childOfSingletonId\", \"childOfSingletonName\", singleton);\n\t\tsingleton.addSubcategory(childOfSingleton);\n\t\tCategoryNode leaf0 = new CategoryNode(\"leaf0Id\", \"leaf0Name\", childOfSingleton);\n\t\tchildOfSingleton.addSubcategory(leaf0);\n\t\tCategoryNode leaf1 = new CategoryNode(\"leaf1Id\", \"leaf1Name\", childOfSingleton);\n\t\tchildOfSingleton.addSubcategory(leaf1);\n\t\t\n\t\t// Add a subtree will have similar leaves, so the subtree should be turned into an equivalence class\n\t\tCategoryNode equivalenceClass = new CategoryNode(\"equivalenceClassId\", \"equivalenceClassName\", aRootCategory);\n\t\taRootCategory.addSubcategory(equivalenceClass);\n\t\tCategoryNode similarNode0 = new CategoryNode(\"similarNode0Id\", \"similarNode0Name\", equivalenceClass);\n\t\tequivalenceClass.addSubcategory(similarNode0);\n\t\tCategoryNode similarNode1 = new CategoryNode(\"similarNode1Id\", \"similarNode1Name\", equivalenceClass);\n\t\tequivalenceClass.addSubcategory(similarNode1);\n\t\t\n\t\t// This subtree has dissimilar leaves, so the subtree shouldn't be turned into an equivalence class\n\t\tCategoryNode nonEquivalenceClass = new CategoryNode(\"nonEquivalenceClassId\", \"nonEquivalenceClassName\", aRootCategory);\n\t\taRootCategory.addSubcategory(nonEquivalenceClass);\n\t\tCategoryNode dissimilarNode0 = new CategoryNode(\"dissimilarNode0Id\", \"dissimilarNode0Name\", nonEquivalenceClass);\n\t\tnonEquivalenceClass.addSubcategory(dissimilarNode0);\n\t\tCategoryNode dissimilarNode1 = new CategoryNode(\"dissimilarNode1Id\", \"dissimilarNode1Name\", nonEquivalenceClass);\n\t\tnonEquivalenceClass.addSubcategory(dissimilarNode1);\n\t}","protected ArrayList findScope (Line start, ArrayList all) throws InnerScopeHasNoEnd{\n ArrayList scopeLines = new ArrayList<>();\n int curLineNum = all.indexOf(start);\n Line cur = start;\n scopeLines.add(cur);\n int numOpen = 1;\n int numClose = 0;\n while (!(numClose== numOpen)){ // while number of opening scope lines not equals to end scope lines.\n try{\n curLineNum += 1;\n cur = all.get(curLineNum);\n scopeLines.add(cur);\n if (cur.startScope()){\n numOpen += 1;\n }\n if (cur.endScope()){\n numClose += 1;\n }\n } // if we get out of the all ArrayList, mean the scope has no end\n catch (Exception e){\n throw new InnerScopeHasNoEnd();\n }\n }\n return scopeLines;\n }","public abstract void printClassifier();","private IScope getTrainScope(TrainSchedule trainSchedule) {\n\t\tEObject rootElement = EcoreUtil.getRootContainer(trainSchedule);\r\n\r\n\t\tif (rootElement instanceof Schedule) {\r\n\t\t\tSchedule schedule = (Schedule) rootElement;\r\n\r\n\t\t\tList trains = schedule.getDepots().stream().flatMap(d -> d.getTrains().stream())\r\n\t\t\t\t\t.collect(Collectors.toList());\r\n\t\t\treturn Scopes.scopeFor(trains);\r\n\t\t}\r\n\r\n\t\treturn null;\r\n\t}","Classifier getType();","public Set getScopes();","public interface Aggregator {\n /**\n * Determines the final class recognized\n * @param confidence Confidence values produced by a recognizer\n * (one confidence value per class)\n * @return The final prediction given by a classifier\n */\n public Prediction apply( double[] confidence );\n\n}","public void semantic(Stack> scopetrack) {\n boolean IDdeclared = false;\n String key = id;\n // Loop through the stack to see if the current ID is declared.\n for (Map currentscope : scopetrack) {\n // If the current ID is declared. Check if the declared type is right.\n if (currentscope.containsKey(key)) {\n IDdeclared = true;\n }\n }\n if (!IDdeclared) {\n System.out.println(key);\n Utility.UseUndeclaredIdError(id);\n System.exit(-1);\n }\n }","org.landxml.schema.landXML11.ClassificationDocument.Classification[] getClassificationArray();","public abstract double classify(Instance e);","public String getSupEntScope() {\n return supEntScope;\n }","public String getScope() {\n return this.scope;\n }","public String getScope() {\n return this.scope;\n }","public String getScope() {\n return this.scope;\n }","public interface LdCDef extends Classification {\n\n /** The empty array for no sisters. */\n String[] EMPTY_SISTERS = new String[]{};\n\n /** The empty map for no sub-items. */\n @SuppressWarnings(\"unchecked\")\n Map EMPTY_SUB_ITEM_MAP = (Map)Collections.EMPTY_MAP;\n\n /**\n * はいいいえを示す\n */\n public enum YesNo implements LdCDef {\n /** y */\n y(\"y\", \"y\", EMPTY_SISTERS)\n ,\n /** n */\n n(\"n\", \"n\", EMPTY_SISTERS)\n ;\n private static final Map _codeValueMap = new HashMap();\n static {\n for (YesNo value : values()) {\n _codeValueMap.put(value.code().toLowerCase(), value);\n for (String sister : value.sisters()) { _codeValueMap.put(sister.toLowerCase(), value); }\n }\n }\n private String _code; private String _alias; private String[] _sisters;\n private YesNo(String code, String alias, String[] sisters)\n { _code = code; _alias = alias; _sisters = sisters; }\n public String code() { return _code; } public String alias() { return _alias; }\n private String[] sisters() { return _sisters; }\n public Map subItemMap() { return EMPTY_SUB_ITEM_MAP; }\n public ClassificationMeta meta() { return LdCDef.DefMeta.YesNo; }\n\n public boolean inGroup(String groupName) {\n return false;\n }\n\n /**\n * Get the classification by the code. (CaseInsensitive)\n * @param code The value of code, which is case-insensitive. (NullAllowed: if null, returns null)\n * @return The instance of the corresponding classification to the code. (NullAllowed: if not found, returns null)\n */\n public static YesNo codeOf(Object code) {\n if (code == null) { return null; }\n if (code instanceof YesNo) { return (YesNo)code; }\n return _codeValueMap.get(code.toString().toLowerCase());\n }\n\n /**\n * Get the classification by the name (also called 'value' in ENUM world).\n * @param name The string of name, which is case-sensitive. (NullAllowed: if null, returns null)\n * @return The instance of the corresponding classification to the name. (NullAllowed: if not found, returns null)\n */\n public static YesNo nameOf(String name) {\n if (name == null) { return null; }\n try { return valueOf(name); } catch (RuntimeException ignored) { return null; }\n }\n\n /**\n * Get the list of all classification elements. (returns new copied list)\n * @return The list of all classification elements. (NotNull)\n */\n public static List listAll() {\n return new ArrayList(Arrays.asList(values()));\n }\n\n /**\n * Get the list of classification elements in the specified group. (returns new copied list) \n * @param groupName The string of group name, which is case-sensitive. (NullAllowed: if null, returns empty list)\n * @return The list of classification elements in the group. (NotNull)\n */\n public static List groupOf(String groupName) {\n return new ArrayList(4);\n }\n\n @Override public String toString() { return code(); }\n }\n\n /**\n * 蔵書の状態を示す\n */\n public enum CollectionStatus implements LdCDef {\n /** NOR: 通常状態を示す */\n NOR(\"NOR\", \"NOR\", EMPTY_SISTERS)\n ,\n /** WAT: 待ち状態を示す */\n WAT(\"WAT\", \"WAT\", EMPTY_SISTERS)\n ,\n /** OUT: 貸し出し中を示す */\n OUT(\"OUT\", \"OUT\", EMPTY_SISTERS)\n ;\n private static final Map _codeValueMap = new HashMap();\n static {\n for (CollectionStatus value : values()) {\n _codeValueMap.put(value.code().toLowerCase(), value);\n for (String sister : value.sisters()) { _codeValueMap.put(sister.toLowerCase(), value); }\n }\n }\n private String _code; private String _alias; private String[] _sisters;\n private CollectionStatus(String code, String alias, String[] sisters)\n { _code = code; _alias = alias; _sisters = sisters; }\n public String code() { return _code; } public String alias() { return _alias; }\n private String[] sisters() { return _sisters; }\n public Map subItemMap() { return EMPTY_SUB_ITEM_MAP; }\n public ClassificationMeta meta() { return LdCDef.DefMeta.CollectionStatus; }\n\n public boolean inGroup(String groupName) {\n return false;\n }\n\n /**\n * Get the classification by the code. (CaseInsensitive)\n * @param code The value of code, which is case-insensitive. (NullAllowed: if null, returns null)\n * @return The instance of the corresponding classification to the code. (NullAllowed: if not found, returns null)\n */\n public static CollectionStatus codeOf(Object code) {\n if (code == null) { return null; }\n if (code instanceof CollectionStatus) { return (CollectionStatus)code; }\n return _codeValueMap.get(code.toString().toLowerCase());\n }\n\n /**\n * Get the classification by the name (also called 'value' in ENUM world).\n * @param name The string of name, which is case-sensitive. (NullAllowed: if null, returns null)\n * @return The instance of the corresponding classification to the name. (NullAllowed: if not found, returns null)\n */\n public static CollectionStatus nameOf(String name) {\n if (name == null) { return null; }\n try { return valueOf(name); } catch (RuntimeException ignored) { return null; }\n }\n\n /**\n * Get the list of all classification elements. (returns new copied list)\n * @return The list of all classification elements. (NotNull)\n */\n public static List listAll() {\n return new ArrayList(Arrays.asList(values()));\n }\n\n /**\n * Get the list of classification elements in the specified group. (returns new copied list) \n * @param groupName The string of group name, which is case-sensitive. (NullAllowed: if null, returns empty list)\n * @return The list of classification elements in the group. (NotNull)\n */\n public static List groupOf(String groupName) {\n return new ArrayList(4);\n }\n\n @Override public String toString() { return code(); }\n }\n\n /**\n * 登録モジュールタイプ\n */\n public enum RegisterModuleType implements LdCDef {\n /** Online: Online Module */\n Online(\"OLN\", \"Online\", EMPTY_SISTERS)\n ,\n /** Batch: Batch Module */\n Batch(\"BTC\", \"Batch\", EMPTY_SISTERS)\n ;\n private static final Map _codeValueMap = new HashMap();\n static {\n for (RegisterModuleType value : values()) {\n _codeValueMap.put(value.code().toLowerCase(), value);\n for (String sister : value.sisters()) { _codeValueMap.put(sister.toLowerCase(), value); }\n }\n }\n private String _code; private String _alias; private String[] _sisters;\n private RegisterModuleType(String code, String alias, String[] sisters)\n { _code = code; _alias = alias; _sisters = sisters; }\n public String code() { return _code; } public String alias() { return _alias; }\n private String[] sisters() { return _sisters; }\n public Map subItemMap() { return EMPTY_SUB_ITEM_MAP; }\n public ClassificationMeta meta() { return LdCDef.DefMeta.RegisterModuleType; }\n\n public boolean inGroup(String groupName) {\n return false;\n }\n\n /**\n * Get the classification by the code. (CaseInsensitive)\n * @param code The value of code, which is case-insensitive. (NullAllowed: if null, returns null)\n * @return The instance of the corresponding classification to the code. (NullAllowed: if not found, returns null)\n */\n public static RegisterModuleType codeOf(Object code) {\n if (code == null) { return null; }\n if (code instanceof RegisterModuleType) { return (RegisterModuleType)code; }\n return _codeValueMap.get(code.toString().toLowerCase());\n }\n\n /**\n * Get the classification by the name (also called 'value' in ENUM world).\n * @param name The string of name, which is case-sensitive. (NullAllowed: if null, returns null)\n * @return The instance of the corresponding classification to the name. (NullAllowed: if not found, returns null)\n */\n public static RegisterModuleType nameOf(String name) {\n if (name == null) { return null; }\n try { return valueOf(name); } catch (RuntimeException ignored) { return null; }\n }\n\n /**\n * Get the list of all classification elements. (returns new copied list)\n * @return The list of all classification elements. (NotNull)\n */\n public static List listAll() {\n return new ArrayList(Arrays.asList(values()));\n }\n\n /**\n * Get the list of classification elements in the specified group. (returns new copied list) \n * @param groupName The string of group name, which is case-sensitive. (NullAllowed: if null, returns empty list)\n * @return The list of classification elements in the group. (NotNull)\n */\n public static List groupOf(String groupName) {\n return new ArrayList(4);\n }\n\n @Override public String toString() { return code(); }\n }\n\n /**\n * 更新モジュールタイプ\n */\n public enum UpdateModuleType implements LdCDef {\n /** Online: Online Module */\n Online(\"OLN\", \"Online\", EMPTY_SISTERS)\n ,\n /** Batch: Batch Module */\n Batch(\"BTC\", \"Batch\", EMPTY_SISTERS)\n ;\n private static final Map _codeValueMap = new HashMap();\n static {\n for (UpdateModuleType value : values()) {\n _codeValueMap.put(value.code().toLowerCase(), value);\n for (String sister : value.sisters()) { _codeValueMap.put(sister.toLowerCase(), value); }\n }\n }\n private String _code; private String _alias; private String[] _sisters;\n private UpdateModuleType(String code, String alias, String[] sisters)\n { _code = code; _alias = alias; _sisters = sisters; }\n public String code() { return _code; } public String alias() { return _alias; }\n private String[] sisters() { return _sisters; }\n public Map subItemMap() { return EMPTY_SUB_ITEM_MAP; }\n public ClassificationMeta meta() { return LdCDef.DefMeta.UpdateModuleType; }\n\n public boolean inGroup(String groupName) {\n return false;\n }\n\n /**\n * Get the classification by the code. (CaseInsensitive)\n * @param code The value of code, which is case-insensitive. (NullAllowed: if null, returns null)\n * @return The instance of the corresponding classification to the code. (NullAllowed: if not found, returns null)\n */\n public static UpdateModuleType codeOf(Object code) {\n if (code == null) { return null; }\n if (code instanceof UpdateModuleType) { return (UpdateModuleType)code; }\n return _codeValueMap.get(code.toString().toLowerCase());\n }\n\n /**\n * Get the classification by the name (also called 'value' in ENUM world).\n * @param name The string of name, which is case-sensitive. (NullAllowed: if null, returns null)\n * @return The instance of the corresponding classification to the name. (NullAllowed: if not found, returns null)\n */\n public static UpdateModuleType nameOf(String name) {\n if (name == null) { return null; }\n try { return valueOf(name); } catch (RuntimeException ignored) { return null; }\n }\n\n /**\n * Get the list of all classification elements. (returns new copied list)\n * @return The list of all classification elements. (NotNull)\n */\n public static List listAll() {\n return new ArrayList(Arrays.asList(values()));\n }\n\n /**\n * Get the list of classification elements in the specified group. (returns new copied list) \n * @param groupName The string of group name, which is case-sensitive. (NullAllowed: if null, returns empty list)\n * @return The list of classification elements in the group. (NotNull)\n */\n public static List groupOf(String groupName) {\n return new ArrayList(4);\n }\n\n @Override public String toString() { return code(); }\n }\n\n public enum DefMeta implements ClassificationMeta {\n /** はいいいえを示す */\n YesNo\n ,\n /** 蔵書の状態を示す */\n CollectionStatus\n ,\n /** 登録モジュールタイプ */\n RegisterModuleType\n ,\n /** 更新モジュールタイプ */\n UpdateModuleType\n ;\n public String classificationName() {\n return name(); // same as definition name\n }\n\n public Classification codeOf(Object code) {\n if (\"YesNo\".equals(name())) { return LdCDef.YesNo.codeOf(code); }\n if (\"CollectionStatus\".equals(name())) { return LdCDef.CollectionStatus.codeOf(code); }\n if (\"RegisterModuleType\".equals(name())) { return LdCDef.RegisterModuleType.codeOf(code); }\n if (\"UpdateModuleType\".equals(name())) { return LdCDef.UpdateModuleType.codeOf(code); }\n throw new IllegalStateException(\"Unknown definition: \" + this); // basically unreachable\n }\n\n public Classification nameOf(String name) {\n if (\"YesNo\".equals(name())) { return LdCDef.YesNo.valueOf(name); }\n if (\"CollectionStatus\".equals(name())) { return LdCDef.CollectionStatus.valueOf(name); }\n if (\"RegisterModuleType\".equals(name())) { return LdCDef.RegisterModuleType.valueOf(name); }\n if (\"UpdateModuleType\".equals(name())) { return LdCDef.UpdateModuleType.valueOf(name); }\n throw new IllegalStateException(\"Unknown definition: \" + this); // basically unreachable\n }\n\n public List listAll() {\n if (\"YesNo\".equals(name())) { return toClassificationList(LdCDef.YesNo.listAll()); }\n if (\"CollectionStatus\".equals(name())) { return toClassificationList(LdCDef.CollectionStatus.listAll()); }\n if (\"RegisterModuleType\".equals(name())) { return toClassificationList(LdCDef.RegisterModuleType.listAll()); }\n if (\"UpdateModuleType\".equals(name())) { return toClassificationList(LdCDef.UpdateModuleType.listAll()); }\n throw new IllegalStateException(\"Unknown definition: \" + this); // basically unreachable\n }\n\n public List groupOf(String groupName) {\n if (\"YesNo\".equals(name())) { return toClassificationList(LdCDef.YesNo.groupOf(groupName)); }\n if (\"CollectionStatus\".equals(name())) { return toClassificationList(LdCDef.CollectionStatus.groupOf(groupName)); }\n if (\"RegisterModuleType\".equals(name())) { return toClassificationList(LdCDef.RegisterModuleType.groupOf(groupName)); }\n if (\"UpdateModuleType\".equals(name())) { return toClassificationList(LdCDef.UpdateModuleType.groupOf(groupName)); }\n throw new IllegalStateException(\"Unknown definition: \" + this); // basically unreachable\n }\n\n @SuppressWarnings(\"unchecked\")\n private List toClassificationList(List clsList) {\n return (List)clsList;\n }\n\n public ClassificationCodeType codeType() {\n if (\"YesNo\".equals(name())) { return ClassificationCodeType.String; }\n if (\"CollectionStatus\".equals(name())) { return ClassificationCodeType.String; }\n if (\"RegisterModuleType\".equals(name())) { return ClassificationCodeType.String; }\n if (\"UpdateModuleType\".equals(name())) { return ClassificationCodeType.String; }\n return ClassificationCodeType.String; // as default\n }\n\n public ClassificationUndefinedHandlingType undefinedHandlingType() {\n if (\"YesNo\".equals(name())) { return ClassificationUndefinedHandlingType.EXCEPTION; }\n if (\"CollectionStatus\".equals(name())) { return ClassificationUndefinedHandlingType.EXCEPTION; }\n if (\"RegisterModuleType\".equals(name())) { return ClassificationUndefinedHandlingType.EXCEPTION; }\n if (\"UpdateModuleType\".equals(name())) { return ClassificationUndefinedHandlingType.EXCEPTION; }\n return ClassificationUndefinedHandlingType.LOGGING; // as default\n }\n }\n}","public BDicTreeCodeExample() {\n oredCriteria = new ArrayList();\n }","@Override\n\tpublic String visitMainClass(MainClassContext ctx) {\n\t\ttable.enterScope();\n\t\tvisit(ctx.getChild(3));\n\t\ttable.exitScope();\n\t\treturn null;\n\t}","public String KindOf(String name) {\n\t\tValues tmp = currScope.get(name);\n\t\tString kind = null;\n\t\t\n\t\tif(tmp != null)\n\t\t\treturn tmp.getKind();\n\t\t\n\t\tif(currScope != classScope) {\n\t\t\ttmp = classScope.get(name);\n\t\t\tif(tmp != null)\n\t\t\t\treturn tmp.getKind();\n\t\t}\n\t\t\n\t\treturn \"NONE\";\n\t}","public void openScope() {\n scopes.add(new Scope<>(++currentScopeLevel));\n }","void addScope() {\n\t\tlist.addFirst(new HashMap());\n\t}","abstract String classify(Instance inst);","public void firstClass(){\n }","void setScopeRelevant(boolean scopeRelevant);","String tier();","public interface HierarchicalKnowledgeBase {\n\n /**\n * Get the concept with the provided id.\n * @param id Concept ID.\n * @return Concept\n */\n Concept getConcept(String id);\n\n /**\n * Get the instance with the provided id.\n * @param id Instance ID.\n * @return Instance\n */\n Instance getInstance(String id);\n\t/**\n * Get a collection with the subclasses of the provided concept\n * @param concept Concept provided\n * @return collection of subclasses of the concept\n */\n Set getSubclasses(Concept concept);\n \n /**\n * Returns a collection containing the superclasses of the provided concept\n * @param concept Concept provided\n * @return collection of subclasses of the concept\n */\n Set getSuperclasses(Concept concept);\n \n /**\n * Check if concept x is equivalent to concept y\n * @param x Concept x\n * @param y Concept y\n * @return True if x is equivalent to y\n */\n boolean equivalent(Concept x, Concept y);\n \n /**\n * Check if concept x is subclass of concept y\n * @param x Concept x\n * @param y Concept y\n * @return True if x subclass of y, false in other case.\n */\n boolean isSubclass(Concept x, Concept y);\n \n /**\n * Check if concept x is a subclass of y, false in other case\n * @param x Concept x\n * @param y Concept y\n * @return True if x is a superclass of y\n */\n boolean isSuperclass(Concept x, Concept y);\n \n /**\n * Returns the concept Resource from which this Resource is instance. If\n * the Resource is not an instance, the function returns the same Resource.\n * @param instance Concept or Instance Resource\n * @return Concept parent of the instance.\n */\n Concept resolveInstance(Instance instance);\n \n /**\n * Return all instances of the provided concept.\n * @return {@link Set} with the instances of the concept.\n * If there are no instances, a empty set is returned.\n */\n Set getInstances(Concept concept);\n\n /**\n * Return all concepts managed by this KB.\n * @return {@link Set} with all available concepts.\n */\n Set getConcepts();\n\n /**\n * Return all instances managed by this KB.\n * @return {@link Set} with all available instances.\n */\n Set getInstances();\n}","Rule ScopeAndId() {\n return FirstOf(\n GeneralScopeAndId(),\n StCategoryScopeAndId(),\n StPrefixScopeAndId()\n );\n }","org.landxml.schema.landXML11.ClassificationDocument.Classification getClassificationArray(int i);","public void traverse(\n\t\tASTVisitor visitor,\n\t\tClassScope classScope) {\n\t}","private void doQual()\n \t{\n \t\tModel model = doc.getModel();\n \t\tQualitativeModel qualModel = (QualitativeModel)model.getExtension(QualConstant.namespaceURI);\n \t\tif (qualModel != null)\n \t\t{\n \t\t\tdoQualitativeSpecies(qualModel);\n \t\t\tdoTransitions(qualModel);\n \t\t}\n \t}","private static void getClassHierarchyRecurs(Class clazz, boolean flag) {\n Class classFirst = null;\n if (flag) {\n classFirst = clazz;\n }\n if (clazz != null) {\n clazz = clazz.getSuperclass();\n getClassHierarchyRecurs(clazz, false);\n }\n if (clazz != null) {\n System.out.println(clazz.getName());\n System.out.println(\" ^\");\n System.out.println(\" |\");\n }\n if (classFirst != null) {\n System.out.println(classFirst.getName());\n }\n }","public void setScope(String scope) {\n this.scope = scope;\n }","public void setScope(String scope) {\n this.scope = scope;\n }","public void setScope(String scope) {\n this.scope = scope;\n }","public void classify() throws Exception;","public BsonDocument getScope() {\n return scope;\n }","List getTargetClassifications(Observation obs);","@Override\n\tpublic Object _init_(final IScope scope) {\n\t\treturn super._init_(this.scope);\n\t}","public void makeContexts() {\n \n // make map of ContextTreeNode objects for all taxonomic contexts, indexed by root node name\n HashMap contextNodesByRootName = new HashMap();\n for (ContextDescription cd : ContextDescription.values()) {\n contextNodesByRootName.put(cd.licaNodeName, new ContextTreeNode(new TaxonomyContext(cd, this)));\n }\n \n TraversalDescription prefTaxParentOfTraversal = Traversal.description().depthFirst().\n relationships(RelType.PREFTAXCHILDOF, Direction.OUTGOING);\n \n // for each ContextTreeNode (i.e. each context)\n for (Entry entry: contextNodesByRootName.entrySet()) {\n \n String childName = entry.getKey();\n ContextTreeNode contextNode = entry.getValue();\n \n // traverse back up the taxonomy tree from the root of this context toward life\n for (Node parentNode : prefTaxParentOfTraversal.traverse(contextNode.context.getRootNode()).nodes()) {\n \n // if/when we find a more inclusive (i.e. parent) context\n String parentName = String.valueOf(parentNode.getProperty(\"name\"));\n if (contextNodesByRootName.containsKey(parentName) && (parentName.equals(childName) == false)) {\n \n System.out.println(\"Adding \" + childName + \" as child of \" + parentName);\n \n // add this link in the contextNode hierarchy and move to the next contextNode\n ContextTreeNode parentContextNode = contextNodesByRootName.get(parentName);\n parentContextNode.addChild(contextNode);\n break;\n \n }\n }\n }\n \n // get the root of the ContextTreeNode tree (i.e. most inclusive context)\n ContextTreeNode contextHierarchyRoot = contextNodesByRootName.get(LIFE_NODE_NAME);\n \n System.out.println(\"\\nHierarchy for contexts (note: paraphyletic groups do not have their own contexts):\");\n printContextTree(contextHierarchyRoot, \"\");\n System.out.println(\"\");\n \n // make the contexts!\n makeContextsRecursive(contextHierarchyRoot);\n \n }","Scope getEnclosingScope();","protected void pushScope() {\n Scope newScope = new Scope(currentScope);\n currentScope = newScope;\n }","@Override\n public PdcClassification findAPreDefinedClassification(String nodeId, String instanceId) {\n try {\n PdcClassification classification = null;\n if (isDefined(nodeId)) {\n NodePK nodeToSeek = new NodePK(nodeId, instanceId);\n while (classification == null && !nodeToSeek.isUndefined()) {\n classification = classificationRepository.findPredefinedClassificationByNodeId(nodeToSeek\n .getId(), nodeToSeek.getInstanceId()); \n NodeDetail node = getNodeBm().getDetail(nodeToSeek);\n nodeToSeek = node.getFatherPK();\n }\n if (classification == null) {\n classification = getPreDefinedClassification(instanceId);\n }\n } else {\n classification = getPreDefinedClassification(instanceId);\n }\n return classification;\n } catch (RemoteException ex) {\n throw new PdcRuntimeException(getClass().getSimpleName() + \".getPreDefinedClassification()\",\n SilverpeasRuntimeException.ERROR, \"root.EX_CANT_GET_REMOTE_OBJECT\", ex);\n } catch (Exception ex) {\n throw new EntityNotFoundException(ex.getMessage());\n }\n }","@Override\n public Classification classify(Collection features) {\n SortedSet> probabilites = this.categoryProbabilities(features);\n\n if (probabilites.size() > 0) {\n return probabilites.last();\n }\n return null;\n }","public SelectionScopeBase(String scopeName)\n {\n\tthis.scopeName = scopeName;\n }","Optional scope() {\n return unwrapOptionalEquivalence(wrappedScope());\n }","public static void main(String[] args) {\n\t\tInheritence a=new Inheritence();\r\n\t\t\r\n\t\t country();\r\n\tcity();\r\n\tage();\r\n\r\n\ta.flower();\t\r\n\tSystem.out.println(l);\r\n\tSystem.out.println(a.d);\r\n\r\n\t}","public String getScope() {\n return scope;\n }","public String getScope() {\n return scope;\n }","ProbeLevel minimumLevel();","public String getClassification() {\n return classification;\n }","public String getClassification() {\n return classification;\n }","Node findBaseCases(Dfg dfg, ProcessTree tree, DfgMinerState minerState);","public void setScope(Scope scope) {\n this.scope = scope;\n }","public void setScope(Scope scope) {\n this.scope = scope;\n }","public void setScope(Scope scope) {\n this.scope = scope;\n }","public ModuleScope getScope() {\n return scope;\n }","public GcGroupLevelExample() {\n oredCriteria = new ArrayList();\n }","private String[] getScopes() {\n return scopeTextView.getText().toString().toLowerCase().split(\" \");\n }"],"string":"[\n \"static void EnterScope(){\\r\\n\\t\\tcurLevel++;\\r\\n\\t\\tScope scope = new Scope(curLevel);\\r\\n\\t\\t//scope.nextAdr = 3;\\r\\n\\t\\ttopScope.ant = scope;\\r\\n\\t\\tscope.sig = topScope; \\r\\n\\t\\ttopScope = scope;\\r\\n }\",\n \"String getScope();\",\n \"public abstract String\\n openScope\\n (\\n boolean first, \\n int level \\n );\",\n \"Scope createScope();\",\n \"public void enterScope(){\\n\\t\\tscope.add(0, new ArrayList());\\n\\t\\t++scopeLevel;\\n\\t}\",\n \"public abstract List generateFactorScopes(State state);\",\n \"Classifier getBase_Classifier();\",\n \"boolean isScope();\",\n \"@Override\\n public void readAhead(DescriptorScope scope) {\\n }\",\n \"@VTID(7)\\n void treeScope(\\n mmarquee.automation.uiautomation.TreeScope scope);\",\n \"public interface RelationalClassifier extends Classifier {\\r\\n}\",\n \"public int getScope() {\\r\\n\\t\\treturn scope;\\r\\n\\t}\",\n \"public DefaultScopeDescriptionTest() {\\n }\",\n \"public T caseStatechartScope(StatechartScope object) {\\r\\n\\t\\treturn null;\\r\\n\\t}\",\n \"public T caseSimpleScope(SimpleScope object) {\\r\\n\\t\\treturn null;\\r\\n\\t}\",\n \"ScopeEvaluationCondition getScope();\",\n \"Integer classify(LogicGraph pce);\",\n \"@VTID(6)\\n mmarquee.automation.uiautomation.TreeScope treeScope();\",\n \"org.landxml.schema.landXML11.ClassificationDocument.Classification addNewClassification();\",\n \"protected Scope computeEnclosingScope()\\n/* */ {\\n/* 48 */ Class localClass1 = (Class)getRecvr();\\n/* */ \\n/* 50 */ Method localMethod = localClass1.getEnclosingMethod();\\n/* 51 */ if (localMethod != null)\\n/* */ {\\n/* */ \\n/* 54 */ return MethodScope.make(localMethod);\\n/* */ }\\n/* 56 */ Constructor localConstructor = localClass1.getEnclosingConstructor();\\n/* 57 */ if (localConstructor != null)\\n/* */ {\\n/* */ \\n/* 60 */ return ConstructorScope.make(localConstructor);\\n/* */ }\\n/* 62 */ Class localClass2 = localClass1.getEnclosingClass();\\n/* */ \\n/* */ \\n/* 65 */ if (localClass2 != null)\\n/* */ {\\n/* */ \\n/* 68 */ return make(localClass2);\\n/* */ }\\n/* */ \\n/* */ \\n/* 72 */ return DummyScope.make();\\n/* */ }\",\n \"public void OpenScope(){\\n Scope newScope = new Scope();\\n currentScope.AddChildScope(newScope);\\n currentScope = newScope;\\n }\",\n \"protected void initScopeInfo()\\n {\\n String className = null;\\n Object target = getTarget();\\n if (target != null)\\n className = target.getClass().getName();\\n setScopeInfo(new AbstractScopeInfo(getName(), className));\\n }\",\n \"public BaseScope() {\\n\\t}\",\n \"public OntologyScope getScope(IRI scopeID);\",\n \"public T caseScope(Scope object) {\\r\\n\\t\\treturn null;\\r\\n\\t}\",\n \"public void test_ck_02() {\\n OntModel vocabModel = ModelFactory.createOntologyModel();\\n ObjectProperty p = vocabModel.createObjectProperty(\\\"p\\\");\\n OntClass A = vocabModel.createClass(\\\"A\\\");\\n \\n OntModel workModel = ModelFactory.createOntologyModel();\\n Individual sub = workModel.createIndividual(\\\"uri1\\\", A);\\n Individual obj = workModel.createIndividual(\\\"uri2\\\", A);\\n workModel.createStatement(sub, p, obj);\\n }\",\n \"public void newScope() {\\n Map scope = new HashMap();\\n scopes.push(scope);\\n Map typeScope = new HashMap();\\n typeScopes.push(typeScope);\\n }\",\n \"public static void main(String[] args) {\\n\\t\\tScope obj = new Scope();\\n\\n\\t\\tobj.test1();\\n\\t\\t\\n\\t\\tobj.test2();\\n\\t\\t\\n\\t\\tScope.test2();\\n\\t}\",\n \"public Scope getScope() {\\n return scope;\\n }\",\n \"public Scope getScope() {\\n return scope;\\n }\",\n \"public Scope getScope() {\\n return scope;\\n }\",\n \"@Override\\n public boolean predicate2(Object dm, Designer dsgr) {\\n if (!(Model.getFacade().isAClassifier(dm))) {\\n return NO_PROBLEM;\\n }\\n if (!(Model.getFacade().isPrimaryObject(dm))) {\\n return NO_PROBLEM;\\n }\\n\\n // If the classifier does not have a name,\\n // then no problem - the model is not finished anyhow.\\n if ((Model.getFacade().getName(dm) == null)\\n\\t || (\\\"\\\".equals(Model.getFacade().getName(dm)))) {\\n return NO_PROBLEM;\\n\\t}\\n\\n // Abstract elements do not necessarily require associations\\n if (Model.getFacade().isAGeneralizableElement(dm)\\n\\t && Model.getFacade().isAbstract(dm)) {\\n return NO_PROBLEM;\\n }\\n\\n // Types can probably have associations, but we should not nag at them\\n // not having any.\\n // utility is a namespace collection - also not strictly required\\n // to have associations.\\n if (Model.getFacade().isType(dm)) {\\n return NO_PROBLEM;\\n }\\n if (Model.getFacade().isUtility(dm)) {\\n return NO_PROBLEM;\\n }\\n\\n // See issue 1129: If the classifier has dependencies,\\n // then mostly there is no problem. \\n if (Model.getFacade().getClientDependencies(dm).size() > 0) {\\n return NO_PROBLEM;\\n }\\n if (Model.getFacade().getSupplierDependencies(dm).size() > 0) {\\n return NO_PROBLEM;\\n }\\n \\n // special cases for use cases\\n // Extending use cases and use case that are being included are\\n // not required to have associations.\\n if (Model.getFacade().isAUseCase(dm)) {\\n Object usecase = dm;\\n Collection includes = Model.getFacade().getIncludes(usecase);\\n if (includes != null && includes.size() >= 1) {\\n return NO_PROBLEM;\\n }\\n Collection extend = Model.getFacade().getExtends(usecase);\\n if (extend != null && extend.size() >= 1) {\\n return NO_PROBLEM;\\n }\\n }\\n \\n \\n\\n //TODO: different critic or special message for classes\\n //that inherit all ops but define none of their own.\\n\\n if (findAssociation(dm, 0)) {\\n return NO_PROBLEM;\\n }\\n return PROBLEM_FOUND;\\n }\",\n \"public tudresden.ocl20.core.jmi.ocl.commonmodel.Classifier commonSuperType(tudresden.ocl20.core.jmi.ocl.commonmodel.Classifier c) {\\n \\n\\tif (this.conformsTo(c)) { return c; }\\n\\tif (c.conformsTo(this)) { return this; }\\n Set thisParents = new HashSet(); ;\\n thisParents.add(this);\\n Set cParents = new HashSet(); ;\\n cParents.add(c);\\n \\n //the transitive closure of the Classifier and all of its parents\\n Set thisTC = new HashSet();\\n Set cTC = new HashSet();\\n \\n while(!(thisParents.isEmpty() && cParents.isEmpty())){\\n thisTC.addAll(thisParents);\\n cTC.addAll(cParents);\\n \\n Set thisParentsTemp = new HashSet();\\n Iterator thisParentsIt = thisParents.iterator();\\n while(thisParentsIt.hasNext()){\\n tudresden.ocl20.core.jmi.ocl.commonmodel.Classifier aThisParent = (tudresden.ocl20.core.jmi.ocl.commonmodel.Classifier) thisParentsIt.next();\\n if(cTC.contains(aThisParent)){\\n return aThisParent;\\n }\\n thisParentsTemp.addAll(aThisParent.getParents());\\n }\\n thisParents=thisParentsTemp;\\n \\n Set cParentsTemp = new HashSet();\\n Iterator cParentsIt = cParents.iterator();\\n while(cParentsIt.hasNext()){\\n tudresden.ocl20.core.jmi.ocl.commonmodel.Classifier aCParent = (tudresden.ocl20.core.jmi.ocl.commonmodel.Classifier) cParentsIt.next();\\n if(thisTC.contains(aCParent)){\\n return aCParent;\\n }\\n cParentsTemp.addAll(aCParent.getParents());\\n }\\n cParents=cParentsTemp;\\n }\\n return null; //should only occure if c is a collection type\\n }\",\n \"public void pushScope() {\\n\\t\\tscopeStack.add(new Scope());\\n\\t\\t\\n\\t}\",\n \"private void initDepthToClass(OWLOntologyManager manager, OWLOntology ont, int depth) {\\n\\n\\t\\t// Are there lower \\\"level\\\"\\n\\t\\tboolean areThereLower = true;\\n\\n\\t\\t// Save the current top classes (subclasses of top)\\n\\t\\tSet classes = reasoner.getSubClasses(df.getOWLThing(), true).entities().collect(Collectors.toSet());\\n\\n\\t\\t// as long as there are lower level\\n\\t\\twhile (areThereLower) {\\n\\n\\t\\t\\t// Save this new subclasses as the classes for this depth\\n\\t\\t\\tdepthToClasses.put(depth, classes);\\n\\n\\t\\t\\t// Create a List for the next level\\n\\t\\t\\tSet newClasses = new HashSet<>();\\n\\n\\t\\t\\t// For all classes of the current level\\n\\t\\t\\tfor (OWLClass cls : classes) {\\n\\n\\t\\t\\t\\t// Get all subclasses\\n\\t\\t\\t\\tList subForCls = reasoner.getSubClasses(cls, true).entities().collect(Collectors.toList());\\n\\n\\t\\t\\t\\t// Add them to the next level\\n\\t\\t\\t\\tnewClasses.addAll(subForCls);\\n\\n\\t\\t\\t\\t// save parent structure\\n\\t\\t\\t\\tsubForCls.stream().forEach(subCls -> {\\n\\t\\t\\t\\t\\tclassToParent.put(subCls, cls);\\n\\t\\t\\t\\t\\tclassToParentString.put(OntologyDescriptor.getCleanNameOWLObj(subCls),\\n\\t\\t\\t\\t\\t\\t\\tOntologyDescriptor.getCleanNameOWLObj(cls));\\n\\t\\t\\t\\t});\\n\\n\\t\\t\\t}\\n\\n\\t\\t\\t// Set the new level as the current level\\n\\t\\t\\tclasses = newClasses;\\n\\n\\t\\t\\t// Next level index\\n\\t\\t\\tdepth++;\\n\\n\\t\\t\\t// If there are less than 1 new class stop this loop\\n\\t\\t\\tif (newClasses.size() < 1) {\\n\\t\\t\\t\\tareThereLower = false;\\n\\t\\t\\t}\\n\\n\\t\\t}\\n\\t}\",\n \"public DefaultScopeDescription() {\\n }\",\n \"Classifier getClassifier();\",\n \"@Override\\r\\n\\tpublic Set eClosure(NFAState s) {\\r\\n\\t\\tSet l = new HashSet<>();\\r\\n\\t\\treturn depthFirstSearch(l, s);\\r\\n\\t}\",\n \"public static String containsScope(String line) {\\n for (int i = 0; i < ApexDoc.rgstrScope.length; i++) {\\n String scope = ApexDoc.rgstrScope[i].toLowerCase();\\n\\n // if line starts with annotations, replace them, so\\n // we can accurately use startsWith to match scope.\\n line = stripAnnotations(line);\\n line = line.toLowerCase().trim();\\n\\n // see if line starts with registered scopes.\\n if (line.startsWith(scope + \\\" \\\")) {\\n return scope;\\n }\\n\\n // match implicitly private lines\\n else if (scope.equals(ApexDoc.PRIVATE)) {\\n // match static props or methods:\\n if (line.startsWith(\\\"static \\\")) {\\n return ApexDoc.PRIVATE;\\n }\\n\\n // match methods that start with\\n // keywords or return primitive types:\\n for (String keyword : KEYWORDS) {\\n if (line.startsWith(keyword + \\\" \\\") && line.contains(\\\"(\\\")) {\\n return ApexDoc.PRIVATE;\\n }\\n }\\n\\n // match metehods that return collections:\\n for (String collection : COLLECTIONS) {\\n if (line.matches(\\\"^\\\" + collection + \\\"<.+>\\\\\\\\s.*\\\") && line.contains(\\\"(\\\")) {\\n return ApexDoc.PRIVATE;\\n }\\n }\\n }\\n }\\n return null;\\n }\",\n \"public interface Scope {\\n\\t\\n\\tpublic static final String PHOTO = \\\"photo\\\";\\n\\tpublic static final String MESSAGE = \\\"message\\\";\\n\\tpublic static final String FRIENDS = \\\"friends\\\";\\n\\tpublic static final String ACCOUNT = \\\"account\\\";\\n\\tpublic static final String NOTIFICATION = \\\"notification\\\";\\n\\tpublic static final String APPLICATION = \\\"application\\\";\\n\\tpublic static final String STREAM = \\\"stream\\\";\\n\\tpublic static final String PERSON_INFO = \\\"person_info\\\";\\n\\t\\n\\t\\n}\",\n \"Set getSubclasses(Concept concept);\",\n \"public CondensedDependencyNode condense() {\\r\\n\\t\\t\\r\\n\\t\\t// IF the whole subtree is made up of same quantifiers return one node with them all\\r\\n\\t\\t// included\\r\\n\\t\\tif(this.homogenousSubtree()) {\\r\\n\\t\\t\\tCondensedDependencyNode n = new CondensedDependencyNode(this.type);\\r\\n\\t\\t\\tfor(DependencyNode d : this.allSubnodes()) {\\r\\n\\t\\t\\t\\tn.variables.add(d.variable);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\treturn n;\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\tswitch(children.size()) {\\r\\n\\t\\t\\tcase 0:\\r\\n\\t\\t\\t\\t// Cant be. homogenousSubtree would have returned already\\r\\n\\t\\t\\t\\tassert(false);\\r\\n\\t\\t\\t\\tlogger.fatal(\\\"Algorithm fail... Contact Author.\\\");\\r\\n\\t\\t\\t\\tthrow new RuntimeException();\\r\\n\\t\\t\\tcase 1:\\r\\n\\t\\t\\t\\tCondensedDependencyNode n = new CondensedDependencyNode(this.type);\\r\\n\\t\\t\\t\\tDependencyNode current = this;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\twhile(current.type == this.type && current.children.size() == 1) {\\r\\n\\t\\t\\t\\t\\tn.variables.add(current.variable);\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\tcurrent = current.children.get(0);\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tCondensedDependencyNode cd = current.condense();\\r\\n\\t\\t\\t\\tn.addChild(cd);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif(n.type == NodeType.ROOT)\\r\\n\\t\\t\\t\\t\\tn.setDepth(0);\\r\\n\\t\\t\\t\\treturn n;\\r\\n\\t\\t\\tcase 2:\\r\\n\\t\\t\\t\\tCondensedDependencyNode n1 = new CondensedDependencyNode(this.type);\\r\\n\\t\\t\\t\\tn1.variables.add(this.variable);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tCondensedDependencyNode cdn0 = this.children.get(0).condense();\\r\\n\\t\\t\\t\\tCondensedDependencyNode cdn1 = this.children.get(1).condense();\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t// NEW\\r\\n//\\t\\t\\t\\tif(cdn0.type == this.type)\\r\\n//\\t\\t\\t\\t\\tn1.variables.addAll(cdn0.variables);\\r\\n//\\t\\t\\t\\t\\t\\r\\n//\\t\\t\\t\\telse \\r\\n//\\t\\t\\t\\t\\tn1.addChild(cdn0);\\r\\n//\\t\\t\\t\\t\\r\\n//\\t\\t\\t\\tif(cdn1.type == this.type)\\r\\n//\\t\\t\\t\\t\\tn1.variables.addAll(cdn1.variables);\\r\\n//\\t\\t\\t\\telse \\r\\n//\\t\\t\\t\\t\\tn1.addChild(cdn1);\\r\\n//\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t// Original\\r\\n\\t\\t\\t\\t n1.addChild(this.children.get(0).condense());\\r\\n\\t\\t\\t\\t n1.addChild(this.children.get(1).condense());\\r\\n\\t\\t\\t\\treturn n1;\\r\\n\\t\\t\\tdefault:\\r\\n\\t\\t\\t\\tassert(false);\\r\\n\\t\\t\\t\\tlogger.fatal(\\\"A DependencyNode must not have more than 3 childnodes.\\\");\\r\\n\\t\\t\\t\\tthrow new RuntimeException();\\r\\n\\t\\t}\\r\\n\\t}\",\n \"String getConvention(String type) {\\n\\t\\tfor (int i = scopeStack.size() - 1; i >= 0; i--) {\\n\\t\\t\\tScope scope = scopeStack.elementAt(i);\\n\\t\\t\\tString prefix = scope.getConvention(type);\\n\\t\\t\\tif (prefix != null) return prefix;\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn null;\\n\\t}\",\n \"void nest();\",\n \"@Before\\n\\tpublic void buildCategories()\\n\\t{\\n\\t\\t// make a root node for the tree (i.e. like a franchise in the CR data set\\n\\t\\tCategoryNode rootParent = null;\\n\\t\\taRootCategory = new CategoryNode(\\\"rootCategoryId\\\", \\\"rootCategoryName\\\", rootParent);\\n\\t\\t\\n\\t\\t// Add a subtree containing a singleton. The singleton should get removed\\n\\t\\tCategoryNode singleton = new CategoryNode(\\\"singletonId\\\", \\\"singletonName\\\", aRootCategory);\\n\\t\\taRootCategory.addSubcategory(singleton);\\n\\t\\tCategoryNode childOfSingleton = new CategoryNode(\\\"childOfSingletonId\\\", \\\"childOfSingletonName\\\", singleton);\\n\\t\\tsingleton.addSubcategory(childOfSingleton);\\n\\t\\tCategoryNode leaf0 = new CategoryNode(\\\"leaf0Id\\\", \\\"leaf0Name\\\", childOfSingleton);\\n\\t\\tchildOfSingleton.addSubcategory(leaf0);\\n\\t\\tCategoryNode leaf1 = new CategoryNode(\\\"leaf1Id\\\", \\\"leaf1Name\\\", childOfSingleton);\\n\\t\\tchildOfSingleton.addSubcategory(leaf1);\\n\\t\\t\\n\\t\\t// Add a subtree will have similar leaves, so the subtree should be turned into an equivalence class\\n\\t\\tCategoryNode equivalenceClass = new CategoryNode(\\\"equivalenceClassId\\\", \\\"equivalenceClassName\\\", aRootCategory);\\n\\t\\taRootCategory.addSubcategory(equivalenceClass);\\n\\t\\tCategoryNode similarNode0 = new CategoryNode(\\\"similarNode0Id\\\", \\\"similarNode0Name\\\", equivalenceClass);\\n\\t\\tequivalenceClass.addSubcategory(similarNode0);\\n\\t\\tCategoryNode similarNode1 = new CategoryNode(\\\"similarNode1Id\\\", \\\"similarNode1Name\\\", equivalenceClass);\\n\\t\\tequivalenceClass.addSubcategory(similarNode1);\\n\\t\\t\\n\\t\\t// This subtree has dissimilar leaves, so the subtree shouldn't be turned into an equivalence class\\n\\t\\tCategoryNode nonEquivalenceClass = new CategoryNode(\\\"nonEquivalenceClassId\\\", \\\"nonEquivalenceClassName\\\", aRootCategory);\\n\\t\\taRootCategory.addSubcategory(nonEquivalenceClass);\\n\\t\\tCategoryNode dissimilarNode0 = new CategoryNode(\\\"dissimilarNode0Id\\\", \\\"dissimilarNode0Name\\\", nonEquivalenceClass);\\n\\t\\tnonEquivalenceClass.addSubcategory(dissimilarNode0);\\n\\t\\tCategoryNode dissimilarNode1 = new CategoryNode(\\\"dissimilarNode1Id\\\", \\\"dissimilarNode1Name\\\", nonEquivalenceClass);\\n\\t\\tnonEquivalenceClass.addSubcategory(dissimilarNode1);\\n\\t}\",\n \"protected ArrayList findScope (Line start, ArrayList all) throws InnerScopeHasNoEnd{\\n ArrayList scopeLines = new ArrayList<>();\\n int curLineNum = all.indexOf(start);\\n Line cur = start;\\n scopeLines.add(cur);\\n int numOpen = 1;\\n int numClose = 0;\\n while (!(numClose== numOpen)){ // while number of opening scope lines not equals to end scope lines.\\n try{\\n curLineNum += 1;\\n cur = all.get(curLineNum);\\n scopeLines.add(cur);\\n if (cur.startScope()){\\n numOpen += 1;\\n }\\n if (cur.endScope()){\\n numClose += 1;\\n }\\n } // if we get out of the all ArrayList, mean the scope has no end\\n catch (Exception e){\\n throw new InnerScopeHasNoEnd();\\n }\\n }\\n return scopeLines;\\n }\",\n \"public abstract void printClassifier();\",\n \"private IScope getTrainScope(TrainSchedule trainSchedule) {\\n\\t\\tEObject rootElement = EcoreUtil.getRootContainer(trainSchedule);\\r\\n\\r\\n\\t\\tif (rootElement instanceof Schedule) {\\r\\n\\t\\t\\tSchedule schedule = (Schedule) rootElement;\\r\\n\\r\\n\\t\\t\\tList trains = schedule.getDepots().stream().flatMap(d -> d.getTrains().stream())\\r\\n\\t\\t\\t\\t\\t.collect(Collectors.toList());\\r\\n\\t\\t\\treturn Scopes.scopeFor(trains);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\treturn null;\\r\\n\\t}\",\n \"Classifier getType();\",\n \"public Set getScopes();\",\n \"public interface Aggregator {\\n /**\\n * Determines the final class recognized\\n * @param confidence Confidence values produced by a recognizer\\n * (one confidence value per class)\\n * @return The final prediction given by a classifier\\n */\\n public Prediction apply( double[] confidence );\\n\\n}\",\n \"public void semantic(Stack> scopetrack) {\\n boolean IDdeclared = false;\\n String key = id;\\n // Loop through the stack to see if the current ID is declared.\\n for (Map currentscope : scopetrack) {\\n // If the current ID is declared. Check if the declared type is right.\\n if (currentscope.containsKey(key)) {\\n IDdeclared = true;\\n }\\n }\\n if (!IDdeclared) {\\n System.out.println(key);\\n Utility.UseUndeclaredIdError(id);\\n System.exit(-1);\\n }\\n }\",\n \"org.landxml.schema.landXML11.ClassificationDocument.Classification[] getClassificationArray();\",\n \"public abstract double classify(Instance e);\",\n \"public String getSupEntScope() {\\n return supEntScope;\\n }\",\n \"public String getScope() {\\n return this.scope;\\n }\",\n \"public String getScope() {\\n return this.scope;\\n }\",\n \"public String getScope() {\\n return this.scope;\\n }\",\n \"public interface LdCDef extends Classification {\\n\\n /** The empty array for no sisters. */\\n String[] EMPTY_SISTERS = new String[]{};\\n\\n /** The empty map for no sub-items. */\\n @SuppressWarnings(\\\"unchecked\\\")\\n Map EMPTY_SUB_ITEM_MAP = (Map)Collections.EMPTY_MAP;\\n\\n /**\\n * はいいいえを示す\\n */\\n public enum YesNo implements LdCDef {\\n /** y */\\n y(\\\"y\\\", \\\"y\\\", EMPTY_SISTERS)\\n ,\\n /** n */\\n n(\\\"n\\\", \\\"n\\\", EMPTY_SISTERS)\\n ;\\n private static final Map _codeValueMap = new HashMap();\\n static {\\n for (YesNo value : values()) {\\n _codeValueMap.put(value.code().toLowerCase(), value);\\n for (String sister : value.sisters()) { _codeValueMap.put(sister.toLowerCase(), value); }\\n }\\n }\\n private String _code; private String _alias; private String[] _sisters;\\n private YesNo(String code, String alias, String[] sisters)\\n { _code = code; _alias = alias; _sisters = sisters; }\\n public String code() { return _code; } public String alias() { return _alias; }\\n private String[] sisters() { return _sisters; }\\n public Map subItemMap() { return EMPTY_SUB_ITEM_MAP; }\\n public ClassificationMeta meta() { return LdCDef.DefMeta.YesNo; }\\n\\n public boolean inGroup(String groupName) {\\n return false;\\n }\\n\\n /**\\n * Get the classification by the code. (CaseInsensitive)\\n * @param code The value of code, which is case-insensitive. (NullAllowed: if null, returns null)\\n * @return The instance of the corresponding classification to the code. (NullAllowed: if not found, returns null)\\n */\\n public static YesNo codeOf(Object code) {\\n if (code == null) { return null; }\\n if (code instanceof YesNo) { return (YesNo)code; }\\n return _codeValueMap.get(code.toString().toLowerCase());\\n }\\n\\n /**\\n * Get the classification by the name (also called 'value' in ENUM world).\\n * @param name The string of name, which is case-sensitive. (NullAllowed: if null, returns null)\\n * @return The instance of the corresponding classification to the name. (NullAllowed: if not found, returns null)\\n */\\n public static YesNo nameOf(String name) {\\n if (name == null) { return null; }\\n try { return valueOf(name); } catch (RuntimeException ignored) { return null; }\\n }\\n\\n /**\\n * Get the list of all classification elements. (returns new copied list)\\n * @return The list of all classification elements. (NotNull)\\n */\\n public static List listAll() {\\n return new ArrayList(Arrays.asList(values()));\\n }\\n\\n /**\\n * Get the list of classification elements in the specified group. (returns new copied list) \\n * @param groupName The string of group name, which is case-sensitive. (NullAllowed: if null, returns empty list)\\n * @return The list of classification elements in the group. (NotNull)\\n */\\n public static List groupOf(String groupName) {\\n return new ArrayList(4);\\n }\\n\\n @Override public String toString() { return code(); }\\n }\\n\\n /**\\n * 蔵書の状態を示す\\n */\\n public enum CollectionStatus implements LdCDef {\\n /** NOR: 通常状態を示す */\\n NOR(\\\"NOR\\\", \\\"NOR\\\", EMPTY_SISTERS)\\n ,\\n /** WAT: 待ち状態を示す */\\n WAT(\\\"WAT\\\", \\\"WAT\\\", EMPTY_SISTERS)\\n ,\\n /** OUT: 貸し出し中を示す */\\n OUT(\\\"OUT\\\", \\\"OUT\\\", EMPTY_SISTERS)\\n ;\\n private static final Map _codeValueMap = new HashMap();\\n static {\\n for (CollectionStatus value : values()) {\\n _codeValueMap.put(value.code().toLowerCase(), value);\\n for (String sister : value.sisters()) { _codeValueMap.put(sister.toLowerCase(), value); }\\n }\\n }\\n private String _code; private String _alias; private String[] _sisters;\\n private CollectionStatus(String code, String alias, String[] sisters)\\n { _code = code; _alias = alias; _sisters = sisters; }\\n public String code() { return _code; } public String alias() { return _alias; }\\n private String[] sisters() { return _sisters; }\\n public Map subItemMap() { return EMPTY_SUB_ITEM_MAP; }\\n public ClassificationMeta meta() { return LdCDef.DefMeta.CollectionStatus; }\\n\\n public boolean inGroup(String groupName) {\\n return false;\\n }\\n\\n /**\\n * Get the classification by the code. (CaseInsensitive)\\n * @param code The value of code, which is case-insensitive. (NullAllowed: if null, returns null)\\n * @return The instance of the corresponding classification to the code. (NullAllowed: if not found, returns null)\\n */\\n public static CollectionStatus codeOf(Object code) {\\n if (code == null) { return null; }\\n if (code instanceof CollectionStatus) { return (CollectionStatus)code; }\\n return _codeValueMap.get(code.toString().toLowerCase());\\n }\\n\\n /**\\n * Get the classification by the name (also called 'value' in ENUM world).\\n * @param name The string of name, which is case-sensitive. (NullAllowed: if null, returns null)\\n * @return The instance of the corresponding classification to the name. (NullAllowed: if not found, returns null)\\n */\\n public static CollectionStatus nameOf(String name) {\\n if (name == null) { return null; }\\n try { return valueOf(name); } catch (RuntimeException ignored) { return null; }\\n }\\n\\n /**\\n * Get the list of all classification elements. (returns new copied list)\\n * @return The list of all classification elements. (NotNull)\\n */\\n public static List listAll() {\\n return new ArrayList(Arrays.asList(values()));\\n }\\n\\n /**\\n * Get the list of classification elements in the specified group. (returns new copied list) \\n * @param groupName The string of group name, which is case-sensitive. (NullAllowed: if null, returns empty list)\\n * @return The list of classification elements in the group. (NotNull)\\n */\\n public static List groupOf(String groupName) {\\n return new ArrayList(4);\\n }\\n\\n @Override public String toString() { return code(); }\\n }\\n\\n /**\\n * 登録モジュールタイプ\\n */\\n public enum RegisterModuleType implements LdCDef {\\n /** Online: Online Module */\\n Online(\\\"OLN\\\", \\\"Online\\\", EMPTY_SISTERS)\\n ,\\n /** Batch: Batch Module */\\n Batch(\\\"BTC\\\", \\\"Batch\\\", EMPTY_SISTERS)\\n ;\\n private static final Map _codeValueMap = new HashMap();\\n static {\\n for (RegisterModuleType value : values()) {\\n _codeValueMap.put(value.code().toLowerCase(), value);\\n for (String sister : value.sisters()) { _codeValueMap.put(sister.toLowerCase(), value); }\\n }\\n }\\n private String _code; private String _alias; private String[] _sisters;\\n private RegisterModuleType(String code, String alias, String[] sisters)\\n { _code = code; _alias = alias; _sisters = sisters; }\\n public String code() { return _code; } public String alias() { return _alias; }\\n private String[] sisters() { return _sisters; }\\n public Map subItemMap() { return EMPTY_SUB_ITEM_MAP; }\\n public ClassificationMeta meta() { return LdCDef.DefMeta.RegisterModuleType; }\\n\\n public boolean inGroup(String groupName) {\\n return false;\\n }\\n\\n /**\\n * Get the classification by the code. (CaseInsensitive)\\n * @param code The value of code, which is case-insensitive. (NullAllowed: if null, returns null)\\n * @return The instance of the corresponding classification to the code. (NullAllowed: if not found, returns null)\\n */\\n public static RegisterModuleType codeOf(Object code) {\\n if (code == null) { return null; }\\n if (code instanceof RegisterModuleType) { return (RegisterModuleType)code; }\\n return _codeValueMap.get(code.toString().toLowerCase());\\n }\\n\\n /**\\n * Get the classification by the name (also called 'value' in ENUM world).\\n * @param name The string of name, which is case-sensitive. (NullAllowed: if null, returns null)\\n * @return The instance of the corresponding classification to the name. (NullAllowed: if not found, returns null)\\n */\\n public static RegisterModuleType nameOf(String name) {\\n if (name == null) { return null; }\\n try { return valueOf(name); } catch (RuntimeException ignored) { return null; }\\n }\\n\\n /**\\n * Get the list of all classification elements. (returns new copied list)\\n * @return The list of all classification elements. (NotNull)\\n */\\n public static List listAll() {\\n return new ArrayList(Arrays.asList(values()));\\n }\\n\\n /**\\n * Get the list of classification elements in the specified group. (returns new copied list) \\n * @param groupName The string of group name, which is case-sensitive. (NullAllowed: if null, returns empty list)\\n * @return The list of classification elements in the group. (NotNull)\\n */\\n public static List groupOf(String groupName) {\\n return new ArrayList(4);\\n }\\n\\n @Override public String toString() { return code(); }\\n }\\n\\n /**\\n * 更新モジュールタイプ\\n */\\n public enum UpdateModuleType implements LdCDef {\\n /** Online: Online Module */\\n Online(\\\"OLN\\\", \\\"Online\\\", EMPTY_SISTERS)\\n ,\\n /** Batch: Batch Module */\\n Batch(\\\"BTC\\\", \\\"Batch\\\", EMPTY_SISTERS)\\n ;\\n private static final Map _codeValueMap = new HashMap();\\n static {\\n for (UpdateModuleType value : values()) {\\n _codeValueMap.put(value.code().toLowerCase(), value);\\n for (String sister : value.sisters()) { _codeValueMap.put(sister.toLowerCase(), value); }\\n }\\n }\\n private String _code; private String _alias; private String[] _sisters;\\n private UpdateModuleType(String code, String alias, String[] sisters)\\n { _code = code; _alias = alias; _sisters = sisters; }\\n public String code() { return _code; } public String alias() { return _alias; }\\n private String[] sisters() { return _sisters; }\\n public Map subItemMap() { return EMPTY_SUB_ITEM_MAP; }\\n public ClassificationMeta meta() { return LdCDef.DefMeta.UpdateModuleType; }\\n\\n public boolean inGroup(String groupName) {\\n return false;\\n }\\n\\n /**\\n * Get the classification by the code. (CaseInsensitive)\\n * @param code The value of code, which is case-insensitive. (NullAllowed: if null, returns null)\\n * @return The instance of the corresponding classification to the code. (NullAllowed: if not found, returns null)\\n */\\n public static UpdateModuleType codeOf(Object code) {\\n if (code == null) { return null; }\\n if (code instanceof UpdateModuleType) { return (UpdateModuleType)code; }\\n return _codeValueMap.get(code.toString().toLowerCase());\\n }\\n\\n /**\\n * Get the classification by the name (also called 'value' in ENUM world).\\n * @param name The string of name, which is case-sensitive. (NullAllowed: if null, returns null)\\n * @return The instance of the corresponding classification to the name. (NullAllowed: if not found, returns null)\\n */\\n public static UpdateModuleType nameOf(String name) {\\n if (name == null) { return null; }\\n try { return valueOf(name); } catch (RuntimeException ignored) { return null; }\\n }\\n\\n /**\\n * Get the list of all classification elements. (returns new copied list)\\n * @return The list of all classification elements. (NotNull)\\n */\\n public static List listAll() {\\n return new ArrayList(Arrays.asList(values()));\\n }\\n\\n /**\\n * Get the list of classification elements in the specified group. (returns new copied list) \\n * @param groupName The string of group name, which is case-sensitive. (NullAllowed: if null, returns empty list)\\n * @return The list of classification elements in the group. (NotNull)\\n */\\n public static List groupOf(String groupName) {\\n return new ArrayList(4);\\n }\\n\\n @Override public String toString() { return code(); }\\n }\\n\\n public enum DefMeta implements ClassificationMeta {\\n /** はいいいえを示す */\\n YesNo\\n ,\\n /** 蔵書の状態を示す */\\n CollectionStatus\\n ,\\n /** 登録モジュールタイプ */\\n RegisterModuleType\\n ,\\n /** 更新モジュールタイプ */\\n UpdateModuleType\\n ;\\n public String classificationName() {\\n return name(); // same as definition name\\n }\\n\\n public Classification codeOf(Object code) {\\n if (\\\"YesNo\\\".equals(name())) { return LdCDef.YesNo.codeOf(code); }\\n if (\\\"CollectionStatus\\\".equals(name())) { return LdCDef.CollectionStatus.codeOf(code); }\\n if (\\\"RegisterModuleType\\\".equals(name())) { return LdCDef.RegisterModuleType.codeOf(code); }\\n if (\\\"UpdateModuleType\\\".equals(name())) { return LdCDef.UpdateModuleType.codeOf(code); }\\n throw new IllegalStateException(\\\"Unknown definition: \\\" + this); // basically unreachable\\n }\\n\\n public Classification nameOf(String name) {\\n if (\\\"YesNo\\\".equals(name())) { return LdCDef.YesNo.valueOf(name); }\\n if (\\\"CollectionStatus\\\".equals(name())) { return LdCDef.CollectionStatus.valueOf(name); }\\n if (\\\"RegisterModuleType\\\".equals(name())) { return LdCDef.RegisterModuleType.valueOf(name); }\\n if (\\\"UpdateModuleType\\\".equals(name())) { return LdCDef.UpdateModuleType.valueOf(name); }\\n throw new IllegalStateException(\\\"Unknown definition: \\\" + this); // basically unreachable\\n }\\n\\n public List listAll() {\\n if (\\\"YesNo\\\".equals(name())) { return toClassificationList(LdCDef.YesNo.listAll()); }\\n if (\\\"CollectionStatus\\\".equals(name())) { return toClassificationList(LdCDef.CollectionStatus.listAll()); }\\n if (\\\"RegisterModuleType\\\".equals(name())) { return toClassificationList(LdCDef.RegisterModuleType.listAll()); }\\n if (\\\"UpdateModuleType\\\".equals(name())) { return toClassificationList(LdCDef.UpdateModuleType.listAll()); }\\n throw new IllegalStateException(\\\"Unknown definition: \\\" + this); // basically unreachable\\n }\\n\\n public List groupOf(String groupName) {\\n if (\\\"YesNo\\\".equals(name())) { return toClassificationList(LdCDef.YesNo.groupOf(groupName)); }\\n if (\\\"CollectionStatus\\\".equals(name())) { return toClassificationList(LdCDef.CollectionStatus.groupOf(groupName)); }\\n if (\\\"RegisterModuleType\\\".equals(name())) { return toClassificationList(LdCDef.RegisterModuleType.groupOf(groupName)); }\\n if (\\\"UpdateModuleType\\\".equals(name())) { return toClassificationList(LdCDef.UpdateModuleType.groupOf(groupName)); }\\n throw new IllegalStateException(\\\"Unknown definition: \\\" + this); // basically unreachable\\n }\\n\\n @SuppressWarnings(\\\"unchecked\\\")\\n private List toClassificationList(List clsList) {\\n return (List)clsList;\\n }\\n\\n public ClassificationCodeType codeType() {\\n if (\\\"YesNo\\\".equals(name())) { return ClassificationCodeType.String; }\\n if (\\\"CollectionStatus\\\".equals(name())) { return ClassificationCodeType.String; }\\n if (\\\"RegisterModuleType\\\".equals(name())) { return ClassificationCodeType.String; }\\n if (\\\"UpdateModuleType\\\".equals(name())) { return ClassificationCodeType.String; }\\n return ClassificationCodeType.String; // as default\\n }\\n\\n public ClassificationUndefinedHandlingType undefinedHandlingType() {\\n if (\\\"YesNo\\\".equals(name())) { return ClassificationUndefinedHandlingType.EXCEPTION; }\\n if (\\\"CollectionStatus\\\".equals(name())) { return ClassificationUndefinedHandlingType.EXCEPTION; }\\n if (\\\"RegisterModuleType\\\".equals(name())) { return ClassificationUndefinedHandlingType.EXCEPTION; }\\n if (\\\"UpdateModuleType\\\".equals(name())) { return ClassificationUndefinedHandlingType.EXCEPTION; }\\n return ClassificationUndefinedHandlingType.LOGGING; // as default\\n }\\n }\\n}\",\n \"public BDicTreeCodeExample() {\\n oredCriteria = new ArrayList();\\n }\",\n \"@Override\\n\\tpublic String visitMainClass(MainClassContext ctx) {\\n\\t\\ttable.enterScope();\\n\\t\\tvisit(ctx.getChild(3));\\n\\t\\ttable.exitScope();\\n\\t\\treturn null;\\n\\t}\",\n \"public String KindOf(String name) {\\n\\t\\tValues tmp = currScope.get(name);\\n\\t\\tString kind = null;\\n\\t\\t\\n\\t\\tif(tmp != null)\\n\\t\\t\\treturn tmp.getKind();\\n\\t\\t\\n\\t\\tif(currScope != classScope) {\\n\\t\\t\\ttmp = classScope.get(name);\\n\\t\\t\\tif(tmp != null)\\n\\t\\t\\t\\treturn tmp.getKind();\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn \\\"NONE\\\";\\n\\t}\",\n \"public void openScope() {\\n scopes.add(new Scope<>(++currentScopeLevel));\\n }\",\n \"void addScope() {\\n\\t\\tlist.addFirst(new HashMap());\\n\\t}\",\n \"abstract String classify(Instance inst);\",\n \"public void firstClass(){\\n }\",\n \"void setScopeRelevant(boolean scopeRelevant);\",\n \"String tier();\",\n \"public interface HierarchicalKnowledgeBase {\\n\\n /**\\n * Get the concept with the provided id.\\n * @param id Concept ID.\\n * @return Concept\\n */\\n Concept getConcept(String id);\\n\\n /**\\n * Get the instance with the provided id.\\n * @param id Instance ID.\\n * @return Instance\\n */\\n Instance getInstance(String id);\\n\\t/**\\n * Get a collection with the subclasses of the provided concept\\n * @param concept Concept provided\\n * @return collection of subclasses of the concept\\n */\\n Set getSubclasses(Concept concept);\\n \\n /**\\n * Returns a collection containing the superclasses of the provided concept\\n * @param concept Concept provided\\n * @return collection of subclasses of the concept\\n */\\n Set getSuperclasses(Concept concept);\\n \\n /**\\n * Check if concept x is equivalent to concept y\\n * @param x Concept x\\n * @param y Concept y\\n * @return True if x is equivalent to y\\n */\\n boolean equivalent(Concept x, Concept y);\\n \\n /**\\n * Check if concept x is subclass of concept y\\n * @param x Concept x\\n * @param y Concept y\\n * @return True if x subclass of y, false in other case.\\n */\\n boolean isSubclass(Concept x, Concept y);\\n \\n /**\\n * Check if concept x is a subclass of y, false in other case\\n * @param x Concept x\\n * @param y Concept y\\n * @return True if x is a superclass of y\\n */\\n boolean isSuperclass(Concept x, Concept y);\\n \\n /**\\n * Returns the concept Resource from which this Resource is instance. If\\n * the Resource is not an instance, the function returns the same Resource.\\n * @param instance Concept or Instance Resource\\n * @return Concept parent of the instance.\\n */\\n Concept resolveInstance(Instance instance);\\n \\n /**\\n * Return all instances of the provided concept.\\n * @return {@link Set} with the instances of the concept.\\n * If there are no instances, a empty set is returned.\\n */\\n Set getInstances(Concept concept);\\n\\n /**\\n * Return all concepts managed by this KB.\\n * @return {@link Set} with all available concepts.\\n */\\n Set getConcepts();\\n\\n /**\\n * Return all instances managed by this KB.\\n * @return {@link Set} with all available instances.\\n */\\n Set getInstances();\\n}\",\n \"Rule ScopeAndId() {\\n return FirstOf(\\n GeneralScopeAndId(),\\n StCategoryScopeAndId(),\\n StPrefixScopeAndId()\\n );\\n }\",\n \"org.landxml.schema.landXML11.ClassificationDocument.Classification getClassificationArray(int i);\",\n \"public void traverse(\\n\\t\\tASTVisitor visitor,\\n\\t\\tClassScope classScope) {\\n\\t}\",\n \"private void doQual()\\n \\t{\\n \\t\\tModel model = doc.getModel();\\n \\t\\tQualitativeModel qualModel = (QualitativeModel)model.getExtension(QualConstant.namespaceURI);\\n \\t\\tif (qualModel != null)\\n \\t\\t{\\n \\t\\t\\tdoQualitativeSpecies(qualModel);\\n \\t\\t\\tdoTransitions(qualModel);\\n \\t\\t}\\n \\t}\",\n \"private static void getClassHierarchyRecurs(Class clazz, boolean flag) {\\n Class classFirst = null;\\n if (flag) {\\n classFirst = clazz;\\n }\\n if (clazz != null) {\\n clazz = clazz.getSuperclass();\\n getClassHierarchyRecurs(clazz, false);\\n }\\n if (clazz != null) {\\n System.out.println(clazz.getName());\\n System.out.println(\\\" ^\\\");\\n System.out.println(\\\" |\\\");\\n }\\n if (classFirst != null) {\\n System.out.println(classFirst.getName());\\n }\\n }\",\n \"public void setScope(String scope) {\\n this.scope = scope;\\n }\",\n \"public void setScope(String scope) {\\n this.scope = scope;\\n }\",\n \"public void setScope(String scope) {\\n this.scope = scope;\\n }\",\n \"public void classify() throws Exception;\",\n \"public BsonDocument getScope() {\\n return scope;\\n }\",\n \"List getTargetClassifications(Observation obs);\",\n \"@Override\\n\\tpublic Object _init_(final IScope scope) {\\n\\t\\treturn super._init_(this.scope);\\n\\t}\",\n \"public void makeContexts() {\\n \\n // make map of ContextTreeNode objects for all taxonomic contexts, indexed by root node name\\n HashMap contextNodesByRootName = new HashMap();\\n for (ContextDescription cd : ContextDescription.values()) {\\n contextNodesByRootName.put(cd.licaNodeName, new ContextTreeNode(new TaxonomyContext(cd, this)));\\n }\\n \\n TraversalDescription prefTaxParentOfTraversal = Traversal.description().depthFirst().\\n relationships(RelType.PREFTAXCHILDOF, Direction.OUTGOING);\\n \\n // for each ContextTreeNode (i.e. each context)\\n for (Entry entry: contextNodesByRootName.entrySet()) {\\n \\n String childName = entry.getKey();\\n ContextTreeNode contextNode = entry.getValue();\\n \\n // traverse back up the taxonomy tree from the root of this context toward life\\n for (Node parentNode : prefTaxParentOfTraversal.traverse(contextNode.context.getRootNode()).nodes()) {\\n \\n // if/when we find a more inclusive (i.e. parent) context\\n String parentName = String.valueOf(parentNode.getProperty(\\\"name\\\"));\\n if (contextNodesByRootName.containsKey(parentName) && (parentName.equals(childName) == false)) {\\n \\n System.out.println(\\\"Adding \\\" + childName + \\\" as child of \\\" + parentName);\\n \\n // add this link in the contextNode hierarchy and move to the next contextNode\\n ContextTreeNode parentContextNode = contextNodesByRootName.get(parentName);\\n parentContextNode.addChild(contextNode);\\n break;\\n \\n }\\n }\\n }\\n \\n // get the root of the ContextTreeNode tree (i.e. most inclusive context)\\n ContextTreeNode contextHierarchyRoot = contextNodesByRootName.get(LIFE_NODE_NAME);\\n \\n System.out.println(\\\"\\\\nHierarchy for contexts (note: paraphyletic groups do not have their own contexts):\\\");\\n printContextTree(contextHierarchyRoot, \\\"\\\");\\n System.out.println(\\\"\\\");\\n \\n // make the contexts!\\n makeContextsRecursive(contextHierarchyRoot);\\n \\n }\",\n \"Scope getEnclosingScope();\",\n \"protected void pushScope() {\\n Scope newScope = new Scope(currentScope);\\n currentScope = newScope;\\n }\",\n \"@Override\\n public PdcClassification findAPreDefinedClassification(String nodeId, String instanceId) {\\n try {\\n PdcClassification classification = null;\\n if (isDefined(nodeId)) {\\n NodePK nodeToSeek = new NodePK(nodeId, instanceId);\\n while (classification == null && !nodeToSeek.isUndefined()) {\\n classification = classificationRepository.findPredefinedClassificationByNodeId(nodeToSeek\\n .getId(), nodeToSeek.getInstanceId()); \\n NodeDetail node = getNodeBm().getDetail(nodeToSeek);\\n nodeToSeek = node.getFatherPK();\\n }\\n if (classification == null) {\\n classification = getPreDefinedClassification(instanceId);\\n }\\n } else {\\n classification = getPreDefinedClassification(instanceId);\\n }\\n return classification;\\n } catch (RemoteException ex) {\\n throw new PdcRuntimeException(getClass().getSimpleName() + \\\".getPreDefinedClassification()\\\",\\n SilverpeasRuntimeException.ERROR, \\\"root.EX_CANT_GET_REMOTE_OBJECT\\\", ex);\\n } catch (Exception ex) {\\n throw new EntityNotFoundException(ex.getMessage());\\n }\\n }\",\n \"@Override\\n public Classification classify(Collection features) {\\n SortedSet> probabilites = this.categoryProbabilities(features);\\n\\n if (probabilites.size() > 0) {\\n return probabilites.last();\\n }\\n return null;\\n }\",\n \"public SelectionScopeBase(String scopeName)\\n {\\n\\tthis.scopeName = scopeName;\\n }\",\n \"Optional scope() {\\n return unwrapOptionalEquivalence(wrappedScope());\\n }\",\n \"public static void main(String[] args) {\\n\\t\\tInheritence a=new Inheritence();\\r\\n\\t\\t\\r\\n\\t\\t country();\\r\\n\\tcity();\\r\\n\\tage();\\r\\n\\r\\n\\ta.flower();\\t\\r\\n\\tSystem.out.println(l);\\r\\n\\tSystem.out.println(a.d);\\r\\n\\r\\n\\t}\",\n \"public String getScope() {\\n return scope;\\n }\",\n \"public String getScope() {\\n return scope;\\n }\",\n \"ProbeLevel minimumLevel();\",\n \"public String getClassification() {\\n return classification;\\n }\",\n \"public String getClassification() {\\n return classification;\\n }\",\n \"Node findBaseCases(Dfg dfg, ProcessTree tree, DfgMinerState minerState);\",\n \"public void setScope(Scope scope) {\\n this.scope = scope;\\n }\",\n \"public void setScope(Scope scope) {\\n this.scope = scope;\\n }\",\n \"public void setScope(Scope scope) {\\n this.scope = scope;\\n }\",\n \"public ModuleScope getScope() {\\n return scope;\\n }\",\n \"public GcGroupLevelExample() {\\n oredCriteria = new ArrayList();\\n }\",\n \"private String[] getScopes() {\\n return scopeTextView.getText().toString().toLowerCase().split(\\\" \\\");\\n }\"\n]"},"negative_scores":{"kind":"list like","value":["0.57434285","0.542366","0.53477913","0.53216547","0.52401525","0.52020884","0.5155788","0.5150815","0.51300347","0.51277393","0.49663767","0.49614003","0.49334717","0.49245226","0.4917496","0.48984763","0.48787722","0.48774374","0.48768982","0.48714072","0.4865509","0.48546046","0.48407316","0.4838627","0.48374003","0.48265657","0.48217842","0.47972825","0.47967678","0.47967678","0.47967678","0.47891822","0.47833544","0.4770609","0.47698408","0.47605097","0.47532347","0.4742393","0.4719495","0.47114718","0.4697782","0.46913415","0.46895674","0.46871445","0.46556336","0.4650873","0.46495515","0.46489808","0.46467128","0.4639211","0.46272922","0.46225497","0.46223155","0.46210438","0.46204352","0.46126384","0.46126384","0.46126384","0.46108052","0.4606685","0.46059906","0.46023571","0.45906526","0.45820367","0.45784742","0.45781577","0.45765746","0.45595258","0.45569152","0.4553473","0.4550341","0.4540613","0.4539339","0.45387885","0.4538573","0.4538573","0.4538573","0.4537761","0.45347673","0.4527246","0.45265883","0.45221618","0.45214874","0.45207083","0.45205024","0.4516171","0.4515053","0.45116806","0.4507592","0.45026845","0.45026845","0.4499664","0.4498963","0.4498963","0.44952288","0.4490907","0.4490907","0.4490907","0.44859016","0.44817656","0.44813454"],"string":"[\n \"0.57434285\",\n \"0.542366\",\n \"0.53477913\",\n \"0.53216547\",\n \"0.52401525\",\n \"0.52020884\",\n \"0.5155788\",\n \"0.5150815\",\n \"0.51300347\",\n \"0.51277393\",\n \"0.49663767\",\n \"0.49614003\",\n \"0.49334717\",\n \"0.49245226\",\n \"0.4917496\",\n \"0.48984763\",\n \"0.48787722\",\n \"0.48774374\",\n \"0.48768982\",\n \"0.48714072\",\n \"0.4865509\",\n \"0.48546046\",\n \"0.48407316\",\n \"0.4838627\",\n \"0.48374003\",\n \"0.48265657\",\n \"0.48217842\",\n \"0.47972825\",\n \"0.47967678\",\n \"0.47967678\",\n \"0.47967678\",\n \"0.47891822\",\n \"0.47833544\",\n \"0.4770609\",\n \"0.47698408\",\n \"0.47605097\",\n \"0.47532347\",\n \"0.4742393\",\n \"0.4719495\",\n \"0.47114718\",\n \"0.4697782\",\n \"0.46913415\",\n \"0.46895674\",\n \"0.46871445\",\n \"0.46556336\",\n \"0.4650873\",\n \"0.46495515\",\n \"0.46489808\",\n \"0.46467128\",\n \"0.4639211\",\n \"0.46272922\",\n \"0.46225497\",\n \"0.46223155\",\n \"0.46210438\",\n \"0.46204352\",\n \"0.46126384\",\n \"0.46126384\",\n \"0.46126384\",\n \"0.46108052\",\n \"0.4606685\",\n \"0.46059906\",\n \"0.46023571\",\n \"0.45906526\",\n \"0.45820367\",\n \"0.45784742\",\n \"0.45781577\",\n \"0.45765746\",\n \"0.45595258\",\n \"0.45569152\",\n \"0.4553473\",\n \"0.4550341\",\n \"0.4540613\",\n \"0.4539339\",\n \"0.45387885\",\n \"0.4538573\",\n \"0.4538573\",\n \"0.4538573\",\n \"0.4537761\",\n \"0.45347673\",\n \"0.4527246\",\n \"0.45265883\",\n \"0.45221618\",\n \"0.45214874\",\n \"0.45207083\",\n \"0.45205024\",\n \"0.4516171\",\n \"0.4515053\",\n \"0.45116806\",\n \"0.4507592\",\n \"0.45026845\",\n \"0.45026845\",\n \"0.4499664\",\n \"0.4498963\",\n \"0.4498963\",\n \"0.44952288\",\n \"0.4490907\",\n \"0.4490907\",\n \"0.4490907\",\n \"0.44859016\",\n \"0.44817656\",\n \"0.44813454\"\n]"},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":126682,"cells":{"query":{"kind":"string","value":"================== Model tuning API ================================"},"document":{"kind":"string","value":"public boolean SetRBFKernelParam(int nDomainId, double c, double g, int nMaxSamples)\r\n\t\t{\r\n boolean res = false;\r\n\t\t\tquery.settype(MsgId.SET_RBFKP);\r\n\t\t\tquery.setdomid(nDomainId);\r\n\t\t\tquery.setc(c);\r\n\t\t\tquery.setg(g);\r\n\t\t\tquery.setmaxsample(nMaxSamples);\r\n\t\t\tquery.setrettype(RetID.INVALID);\r\n\t\t\t\r\n\t\t\ttry {\r\n\t\t\t scon.sendmsg(query);\r\n\t\t\t MessageObject result = (MessageObject) scon.getmsg(query);\r\n\t\t\t \r\n\t\t\t if (result.getrettype() == RetID.BOOL) {\r\n\t\t\t \t res = result.getboolval();\r\n\t\t\t }\r\n\t\t\t} catch (IOException e) {\r\n\t\t\t\t\r\n\t\t\t\tHandleException(e, MsgId.SET_RBFKP);\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\treturn res;\r\n\t\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@Override\n public void tuningInit() {\n\n }","public void model() \n\t{\n\t\t\n\t\ttry \n\t\t{\n\t\t GRBEnv env = new GRBEnv();\n\t\t GRBModel model = new GRBModel(env, \"resources/students.lp\");\n\n\t\t model.optimize();\n\n\t\t int optimstatus = model.get(GRB.IntAttr.Status);\n\n\t\t if (optimstatus == GRB.Status.INF_OR_UNBD) {\n\t\t model.getEnv().set(GRB.IntParam.Presolve, 0);\n\t\t model.optimize();\n\t\t optimstatus = model.get(GRB.IntAttr.Status);\n\t\t }\n\n\t\t if (optimstatus == GRB.Status.OPTIMAL) {\n\t\t double objval = model.get(GRB.DoubleAttr.ObjVal);\n\t\t System.out.println(\"Optimal objective: \" + objval);\n\t\t } else if (optimstatus == GRB.Status.INFEASIBLE) {\n\t\t System.out.println(\"Model is infeasible\");\n\n\t\t // Compute and write out IIS\n\t\t model.computeIIS();\n\t\t model.write(\"model.ilp\");\n\t\t } else if (optimstatus == GRB.Status.UNBOUNDED) {\n\t\t System.out.println(\"Model is unbounded\");\n\t\t } else {\n\t\t System.out.println(\"Optimization was stopped with status = \"\n\t\t + optimstatus);\n\t\t }\n\n\t\t // Dispose of model and environment\n\t\t model.write(\"resources/model.sol\");\n\t\t model.dispose();\n\t\t env.dispose();\n\n\t\t } catch (GRBException e) {\n\t\t System.out.println(\"Error code: \" + e.getErrorCode() + \". \" +\n\t\t e.getMessage());\n\t\t }\n\t\t\n\t}","public double[] runOptimizer() {\n List sents = new ArrayList();\n for(int i=0; i scoreRatio)\n featScale = sumMetricScore/sumModelScore;\n\n /* a different scaling strategy \n if( (1.0*processedSent/sentNum) < sentForScale ) { //still need to scale\n double newFeatScale = java.lang.Math.abs(scoreRatio*sumMetricDiff / sumModelDiff); //to make sure modelScore*featScale/metricScore = scoreRatio\n \n //update the scale only when difference is significant\n if( java.lang.Math.abs(newFeatScale-featScale)/featScale > 0.2 )\n featScale = newFeatScale;\n }*/\n }\n// processedSent++;\n\n HashMap allOraFeat = new HashMap();\n HashMap allPredFeat = new HashMap();\n HashMap featDiff = new HashMap();\n\n vecOraFeat = oraFeat.split(\"\\\\s+\");\n vecPredFeat = predFeat.split(\"\\\\s+\");\n \n for (int i = 0; i < vecOraFeat.length; i++) {\n featInfo = vecOraFeat[i].split(\":\");\n diffFeatId = Integer.parseInt(featInfo[0]);\n allOraFeat.put(diffFeatId, Double.parseDouble(featInfo[1]));\n featDiff.put(diffFeatId, Double.parseDouble(featInfo[1]));\n }\n\n for (int i = 0; i < vecPredFeat.length; i++) {\n featInfo = vecPredFeat[i].split(\":\");\n diffFeatId = Integer.parseInt(featInfo[0]);\n allPredFeat.put(diffFeatId, Double.parseDouble(featInfo[1]));\n\n if (featDiff.containsKey(diffFeatId)) //overlapping features\n featDiff.put(diffFeatId, featDiff.get(diffFeatId)-Double.parseDouble(featInfo[1]));\n else //features only firing in the 2nd feature vector\n featDiff.put(diffFeatId, -1.0*Double.parseDouble(featInfo[1]));\n }\n\n if(!runPercep) { //otherwise eta=1.0\n featNorm = 0;\n\n Collection allDiff = featDiff.values();\n for(it =allDiff.iterator(); it.hasNext();) {\n featDiffVal = (Double) it.next();\n featNorm += featDiffVal*featDiffVal;\n }\n \n //a few sanity checks\n if(! evalMetric.getToBeMinimized()) {\n if(oraSelectMode==1 && predSelectMode==1) { //\"hope-fear\" selection\n /* ora_score+ora_metric > pred_score+pred_metric\n * pred_score-pred_metric > ora_score-ora_metric\n * => ora_metric > pred_metric */\n if(oraMetric+1e-10 < predMetric) {\n System.err.println(\"WARNING: for hope-fear selection, oracle metric score must be greater than prediction metric score!\");\n System.err.println(\"Something is wrong!\");\n }\n }\n \n if(oraSelectMode==2 || predSelectMode==3) {\n if(oraMetric+1e-10 < predMetric) {\n System.err.println(\"WARNING: for max-metric oracle selection or min-metric prediction selection, the oracle metric \" +\n \t\t\"score must be greater than the prediction metric score!\");\n System.err.println(\"Something is wrong!\");\n }\n }\n } else {\n if(oraSelectMode==1 && predSelectMode==1) { //\"hope-fear\" selection\n /* ora_score-ora_metric > pred_score-pred_metric\n * pred_score+pred_metric > ora_score+ora_metric\n * => ora_metric < pred_metric */\n if(oraMetric-1e-10 > predMetric) {\n System.err.println(\"WARNING: for hope-fear selection, oracle metric score must be smaller than prediction metric score!\");\n System.err.println(\"Something is wrong!\");\n }\n }\n \n if(oraSelectMode==2 || predSelectMode==3) {\n if(oraMetric-1e-10 > predMetric) {\n System.err.println(\"WARNING: for min-metric oracle selection or max-metric prediction selection, the oracle metric \" +\n \"score must be smaller than the prediction metric score!\");\n System.err.println(\"Something is wrong!\");\n }\n }\n }\n \n if(predSelectMode==2) {\n if(predScore+1e-10 < oraScore) {\n System.err.println(\"WARNING: for max-model prediction selection, the prediction model score must be greater than oracle model score!\");\n System.err.println(\"Something is wrong!\");\n }\n }\n \n //cost - margin\n //remember the model scores here are already scaled\n loss = evalMetric.getToBeMinimized() ? //cost should always be non-negative \n (predMetric-oraMetric) - (oraScore-predScore)/featScale: \n (oraMetric-predMetric) - (oraScore-predScore)/featScale;\n \n if(loss<0)\n loss = 0;\n\n if(loss == 0)\n eta = 0;\n else\n //eta = C < loss/(featNorm*featScale*featScale) ? C : loss/(featNorm*featScale*featScale); //feat vector not scaled before\n eta = C < loss/(featNorm) ? C : loss/(featNorm); //feat vector not scaled before\n }\n \n avgEta += eta;\n\n Set diffFeatSet = featDiff.keySet();\n it = diffFeatSet.iterator();\n\n if(first) {\n first = false;\n \n if(eta!=0) {\n while(it.hasNext()) {\n diffFeatId = (Integer)it.next();\n finalLambda[diffFeatId] = initialLambda[diffFeatId] + eta*featDiff.get(diffFeatId);\n }\n }\n }\n else {\n if(eta!=0) {\n while(it.hasNext()) {\n diffFeatId = (Integer)it.next();\n finalLambda[diffFeatId] = finalLambda[diffFeatId] + eta*featDiff.get(diffFeatId);\n }\n }\n }\n \n if(needAvg) {\n for(int i=0; i 10 ? 10 : paramDim; // how many parameters\n // to print\n result = paramDim > 10 ? \"Final lambda(first 10): {\" : \"Final lambda: {\";\n\n for (int i = 1; i < numParamToPrint; i++)\n // in ZMERT finalLambda[0] is not used\n result += finalLambda[i] + \" \";\n } else {\n int sparseNumToPrint = 0;\n if (trainMode.equals(\"2\")) {\n result = \"Final lambda(regular feats + first 5 sparse feats): {\";\n for (int i = 1; i <= regParamDim; ++i)\n result += finalLambda[i] + \" \";\n\n result += \"||| \";\n\n sparseNumToPrint = 5 < (paramDim - regParamDim) ? 5 : (paramDim - regParamDim);\n\n for (int i = 1; i <= sparseNumToPrint; i++)\n result += finalLambda[regParamDim + i] + \" \";\n } else {\n result = \"Final lambda(first 10 sparse feats): {\";\n sparseNumToPrint = 10 < paramDim ? 10 : paramDim;\n\n for (int i = 1; i < sparseNumToPrint; i++)\n result += finalLambda[i] + \" \";\n }\n }\n\n output.add(result + finalLambda[numParamToPrint] + \"}\\n\" + \"Initial \"\n + evalMetric.get_metricName() + \": \" + initMetricScore + \"\\nFinal \"\n + evalMetric.get_metricName() + \": \" + finalMetricScore);\n\n // System.out.println(output);\n\n if (trainMode.equals(\"3\")) {\n // finalLambda = baseline(unchanged)+disc\n for (int i = 0; i < paramDim; i++)\n copyLambda[i + regParamDim + 1] = finalLambda[i];\n\n finalLambda = copyLambda;\n }\n\n return finalLambda;\n }","public void evaluate(String sampleFile, String featureDefFile, int nFold, float tvs, String modelDir, String modelFile) {\n/* 854 */ List> trainingData = new ArrayList<>();\n/* 855 */ List> validationData = new ArrayList<>();\n/* 856 */ List> testData = new ArrayList<>();\n/* */ \n/* */ \n/* */ \n/* 860 */ List samples = readInput(sampleFile);\n/* */ \n/* */ \n/* 863 */ int[] features = readFeature(featureDefFile);\n/* 864 */ if (features == null) {\n/* 865 */ features = FeatureManager.getFeatureFromSampleVector(samples);\n/* */ }\n/* 867 */ FeatureManager.prepareCV(samples, nFold, tvs, trainingData, validationData, testData);\n/* */ \n/* */ \n/* 870 */ if (normalize)\n/* */ {\n/* 872 */ for (int j = 0; j < nFold; j++) {\n/* */ \n/* 874 */ normalizeAll(trainingData, features);\n/* 875 */ normalizeAll(validationData, features);\n/* 876 */ normalizeAll(testData, features);\n/* */ } \n/* */ }\n/* */ \n/* 880 */ Ranker ranker = null;\n/* 881 */ double scoreOnTrain = 0.0D;\n/* 882 */ double scoreOnTest = 0.0D;\n/* 883 */ double totalScoreOnTest = 0.0D;\n/* 884 */ int totalTestSampleSize = 0;\n/* */ \n/* 886 */ double[][] scores = new double[nFold][]; int i;\n/* 887 */ for (i = 0; i < nFold; i++) {\n/* 888 */ (new double[2])[0] = 0.0D; (new double[2])[1] = 0.0D; scores[i] = new double[2];\n/* 889 */ } for (i = 0; i < nFold; i++) {\n/* */ \n/* 891 */ List train = trainingData.get(i);\n/* 892 */ List vali = null;\n/* 893 */ if (tvs > 0.0F)\n/* 894 */ vali = validationData.get(i); \n/* 895 */ List test = testData.get(i);\n/* */ \n/* 897 */ RankerTrainer trainer = new RankerTrainer();\n/* 898 */ ranker = trainer.train(this.type, train, vali, features, this.trainScorer);\n/* */ \n/* 900 */ double s2 = evaluate(ranker, test);\n/* 901 */ scoreOnTrain += ranker.getScoreOnTrainingData();\n/* 902 */ scoreOnTest += s2;\n/* 903 */ totalScoreOnTest += s2 * test.size();\n/* 904 */ totalTestSampleSize += test.size();\n/* */ \n/* */ \n/* 907 */ scores[i][0] = ranker.getScoreOnTrainingData();\n/* 908 */ scores[i][1] = s2;\n/* */ \n/* */ \n/* 911 */ if (!modelDir.isEmpty()) {\n/* */ \n/* 913 */ ranker.save(FileUtils.makePathStandard(modelDir) + \"f\" + (i + 1) + \".\" + modelFile);\n/* 914 */ System.out.println(\"Fold-\" + (i + 1) + \" model saved to: \" + modelFile);\n/* */ } \n/* */ } \n/* 917 */ System.out.println(\"Summary:\");\n/* 918 */ System.out.println(this.testScorer.name() + \"\\t| Train\\t| Test\");\n/* 919 */ System.out.println(\"----------------------------------\");\n/* 920 */ for (i = 0; i < nFold; i++)\n/* 921 */ System.out.println(\"Fold \" + (i + 1) + \"\\t| \" + SimpleMath.round(scores[i][0], 4) + \"\\t| \" + SimpleMath.round(scores[i][1], 4) + \"\\t\"); \n/* 922 */ System.out.println(\"----------------------------------\");\n/* 923 */ System.out.println(\"Avg.\\t| \" + SimpleMath.round(scoreOnTrain / nFold, 4) + \"\\t| \" + SimpleMath.round(scoreOnTest / nFold, 4) + \"\\t\");\n/* 924 */ System.out.println(\"----------------------------------\");\n/* 925 */ System.out.println(\"Total\\t| \\t\\t| \" + SimpleMath.round(totalScoreOnTest / totalTestSampleSize, 4) + \"\\t\");\n/* */ }","@Override\n public void train() {\n actual = observations.toArray();\n min_val_error = Double.MAX_VALUE;\n if (findDecayConstant)\n for (float alpha = 0f; alpha <= 1f; alpha += 0.01f)\n initializeAndTrainModel(alpha);\n else\n initializeAndTrainModel(optAlpha);\n }","public interface AMDPModelLearner extends AMDPPolicyGenerator{\n\n\n public void updateModel(State s, Action a, List rewards, State sPrime, GroundedTask gt);\n\n\n}","protected float computeModelScoreOnTraining() {\n/* 508 */ float s = computeModelScoreOnTraining(0, this.samples.size() - 1, 0);\n/* 509 */ s /= this.samples.size();\n/* 510 */ return s;\n/* */ }","public interface IModelAdapter {\r\n\r\n\t/**\r\n\t * Returns the result of the model processing given the visitor's classname and the given parameter string using the given host.\r\n\t * @param host The host that runs the given visitor \r\n\t * @param classname The visitor's class name to use\r\n\t * @param param The input parameter to use\r\n\t * @return The result of the processing\r\n\t */\r\n\tString runAlgo(THost host, String classname, String param);\r\n\r\n\t/**\r\n\t * Returns the result of the model processing given the \r\n\t * accumulator's classname and the given parameter string \r\n\t * using the given host with the FoldRAlgo visitor.\r\n\t * @param host The host that runs the FoldRAlgo visitor \r\n\t * @param accClassname The accumulator's class name to use\r\n\t * @return The result of the processing\r\n\t */\r\n\tString runFoldR(THost host, String accClassname);\r\n\t\r\n\t/**\r\n\t * Returns the result of the model processing given the \r\n\t * accumulator's classname and the given parameter string \r\n\t * using the given host with the FoldLAlgo visitor.\r\n\t * @param host The host that runs the FoldLAlgo visitor \r\n\t * @param accClassname The accumulator's class name to use\r\n\t * @return The result of the processing\r\n\t */\t\r\n\tString runFoldL(THost host, String accClassname);}","@Override\n public void tuningPeriodic() {\n\n }","protected float computeModelScoreOnValidation() {\n/* 549 */ float score = computeModelScoreOnValidation(0, this.validationSamples.size() - 1);\n/* 550 */ return score / this.validationSamples.size();\n/* */ }","public void buildModel() {\n double loss_pre = Double.MAX_VALUE;\n for (int iter = 0; iter < maxIter; iter ++) {\n Long start = System.currentTimeMillis();\n if (showProgress)\n System.out.println(\"Iteration \"+(iter+1)+\" started\");\n // Update user latent vectors\n IntStream.range(0,userCount).parallel().peek(i->update_user(i)).forEach(j->{});\n /*\n for (int u = 0; u < userCount; u ++) {\n update_user(u);\n }\n */\n if (showProgress) {\n System.out.println(\"Users updated for \" + (System.currentTimeMillis() - start) + \"millis\");\n start = System.currentTimeMillis();\n }\n\n IntStream.range(0,itemCount).parallel().peek(i->update_item(i)).forEach(j->{});\n // Update item latent vectors\n /*\n for (int i = 0; i < itemCount; i ++) {\n update_item(i);\n }\n */\n if (showProgress) {\n System.out.println(\"Items updated for \" + (System.currentTimeMillis() - start) + \"millis\");\n start = System.currentTimeMillis();\n }\n\n // Show loss\n if (showLoss)\n loss_pre = showLoss(iter, start, loss_pre);\n\n\n } // end for iter\n\n }","Model minimize(Model model);","public void train()\r\n\t{\r\n\t\tfor(int i=0; i < this.maxEpoch; i++)\r\n\t\t{\r\n\t\t\tfor(Instance temp_example: this.trainingSet)\r\n\t\t\t{\r\n\t\t\t\tdouble O = calculateOutputForInstance(temp_example);\r\n\t\t\t\tdouble T = temp_example.output;\r\n\t\t\t\tdouble err = T - O;\r\n\r\n\t\t\t\t//w_jk (hidden to output)\r\n\t\t\t\tdouble g_p_out = (outputNode.getSum() <= 0) ? 0 : 1;\r\n\t\t\t\tfor(NodeWeightPair hiddenNode: outputNode.parents)\r\n\t\t\t\t{\r\n\t\t\t\t\thiddenNode.set_deltaw_pq(this.learningRate*\r\n\t\t\t\t\t\t\thiddenNode.node.getOutput()*err*g_p_out);\r\n\t\t\t\t}\r\n\r\n\t\t\t\t//w_ij (input to hidden)\r\n\t\t\t\tint hid_count =0;\r\n\t\t\t\tfor(Node hiddenNode: hiddenNodes){\r\n\t\t\t\t\tdouble g_p_hid = (hiddenNode.getSum() <= 0) ? 0 : 1;\r\n\t\t\t\t\tif(hiddenNode.getType()==2)\r\n\t\t\t\t\t{\r\n\t\t\t\t\t\tfor(NodeWeightPair inputNode: hiddenNode.parents){\r\n\t\t\t\t\t\t\tdouble a_i = inputNode.node.getOutput();\r\n\t\t\t\t\t\t\tinputNode.set_deltaw_pq\r\n\t\t\t\t\t\t\t(\r\n\t\t\t\t\t\t\t\t\tthis.learningRate*\r\n\t\t\t\t\t\t\t\t\ta_i*g_p_hid*(err*\r\n\t\t\t\t\t\t\t\t\toutputNode.parents.get(hid_count).weight*\r\n\t\t\t\t\t\t\t\t\tg_p_out)\r\n\t\t\t\t\t\t\t\t\t);\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t} else {\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t}\r\n\t\t\t\t\thid_count++;\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\t// for all w_pq, update weights\r\n\t\t\t\tfor(Node hiddenNode: hiddenNodes){\r\n\t\t\t\t\tif(hiddenNode.getType()==2){\r\n\t\t\t\t\t\tfor(NodeWeightPair inputNode: hiddenNode.parents){\r\n\t\t\t\t\t\t\tinputNode.weight += inputNode.get_deltaw_pq();\r\n\t\t\t\t\t\t\tinputNode.set_deltaw_pq(new Double (0.00));\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t\tfor(NodeWeightPair hiddenNode: outputNode.parents)\r\n\t\t\t\t{\r\n\t\t\t\t\thiddenNode.weight += hiddenNode.get_deltaw_pq();\r\n\t\t\t\t\thiddenNode.set_deltaw_pq(new Double (0.00));\r\n\t\t\t\t}\r\n\r\n\t\t\t} // end of an instance \r\n\t\t} // end of an epoch\r\n\t}","public void train(){\r\n\t\tdouble output = 0.0;\r\n\t\tList teacher = null;\r\n\t\tdouble adjustedWeight = 0.0;\r\n\t\tdouble error = 0.0;\r\n\t\tdouble deltaK = 0.0;\r\n\r\n\t\tfor(int counter = 0; counter < maxEpoch; counter++){\r\n\t\t\tfor(Instance inst : trainingSet){\r\n\t\t\t\tcalculateOutputForInstance(inst);\r\n\t\t\t\tteacher = inst.classValues;\r\n\t\t\t\t//jk weight\r\n\t\t\t\tfor(int i = 0; i < outputNodes.size(); i++){\r\n\t\t\t\t\tNode kNode = outputNodes.get(i);\r\n\t\t\t\t\toutput = kNode.getOutput();\r\n\t\t\t\t\terror = teacher.get(i) - output;\r\n\t\t\t\t\tdeltaK = error*getReLU(kNode.getSum());\r\n\t\t\t\t\tfor(int j = 0; j < kNode.parents.size(); j++){\r\n\t\t\t\t\t\tNodeWeightPair jkWeight = kNode.parents.get(j);\r\n\t\t\t\t\t\tNode jNode = jkWeight.node;\r\n\t\t\t\t\t\tadjustedWeight = getJK(jNode, deltaK);\r\n\t\t\t\t\t\tjkWeight.weight += adjustedWeight;\r\n\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t\t//ij weight\r\n\t\t\t\tfor(int i = 0; i < hiddenNodes.size(); i++){\r\n\t\t\t\t\tNode jNode = hiddenNodes.get(i);\r\n\t\t\t\t\tif(jNode.parents == null) continue;\r\n\t\t\t\t\tfor(int j = 0; j < jNode.parents.size(); j++){\r\n\t\t\t\t\t\tNodeWeightPair ijWeight = jNode.parents.get(j);\r\n\t\t\t\t\t\tNode iNode = ijWeight.node;\r\n\t\t\t\t\t\tadjustedWeight = getIJ(iNode, jNode, teacher, i);\r\n\t\t\t\t\t\tijWeight.weight += adjustedWeight;\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t}","public void trainOnInstance(Instance inst) {\n\t\t\t\t\t\t\n\t\t\ttry{\t\t\t\t\n\t\t\t\tinstancesSeen++;\n\t\t\t\tupdateStats(inst);\n\t\t\t\t\n\t\t\t\tDoubleVector normaliezedExtendedInstance = PrepareExtendedFeatureVector(inst) ;\n\t\t\t\tdouble normaliezedTargetValue= NormalizeTarget(inst) ;\n\t\t\t\tResultSummary resultSummary = getMemberships (normaliezedExtendedInstance,normaliezedTargetValue) ;\n\t\t\t\t\n\t\t\t\tdouble error = resultSummary.getNormaliezedTargetValue() - resultSummary.getFinalPrediction() ;\n\t\t\t\tthis.CurModSSE += Math.pow(error, 2) ;\n\t\t\t\t\n\t\t\t\t// checking a possible drift\n//\t\t\t\tboolean drift =checkChangeDetection() ;\n//\t\t\t\tif (drift)\n//\t\t\t\t\tthis.countChangeDetected++ ;\n\t\t\t\tboolean drift = false ;\n\t\t\t\tif ((this.instancesSeen % graceperiod)==0){\n\t\t\t\t\tdrift =checkChangeDetection() ;\n\t\t\t\t\tif (drift){\n\t\t\t\t\t\tthis.countChangeDetected++ ;\n//\t\t\t\t\t\tthis.clearAllStats();\n\t\t\t\t\t\tthis.currentValidCandidates.clear() ;\n\t\t\t\t\t\tthis.currentNonReadyCandidates.clear() ;\n\t\t\t\t\t\tcurrentSystemVersion++ ;\n\t\t\t\t\t\tSystem.out.println(\"########After a drift################\");\n\t\t\t\t\t\tSystem.out.println(this);\n\t\t\t\t\t\tSystem.out.println(\"########################\");\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t\n// \t\tVarianceRationREduction\n\t\t\t\tif (learningCriteriaOption.getChosenIndex()==1) {\n\t\t\t\t\t// checking a possible extension\n//\t\t\t\t\tif (this.instancesSeen > graceperiod && !drift ) {\n\t\t\t\t\tif (!drift ) {\n\t\t\t\t\t\tboolean systemChanged = false ;\n\t\t\t\t\t\tVector removeRules= new Vector() ;\n\t\t\t\t\t\tVector newRules= new Vector() ;\n\t\t\t\t\t\tfor (FuzzyRule rule : rs){\n\t\t\t\t\t\t\tVector expansions = ((RuleVR)rule).tryToExpand(confidence, tau) ;\n\t\t\t\t\t\t\tif (expansions != null) {\n\t\t\t\t\t\t\t\tsystemChanged = true ;\n\t\t\t\t\t\t\t\tif (chooseSingleRuleOption.isSet()) {\n\t\t\t\t\t\t\t\t\tif (expansions.get(0).getInitialMerit() > expansions.get(1).getInitialMerit()) {\n\t\t\t\t\t\t\t\t\t\tnewRules.add(expansions.get(0)) ;\n\t\t\t\t\t\t\t\t\t}else {\n\t\t\t\t\t\t\t\t\t\tnewRules.add(expansions.get(1)) ;\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\tif (rule !=defaultRule)\n\t\t\t\t\t\t\t\t\t\tremoveRules.add((RuleVR)rule) ;\n\t\t\t\t\t\t\t\t}else {\n\t\t\t\t\t\t\t\t\tremoveRules.add((RuleVR)rule) ;\n\t\t\t\t\t\t\t\t\tnewRules.addAll(expansions) ;\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif (systemChanged) {\n\t\t\t\t\t\t\trs.removeAll(removeRules) ;\n\t\t\t\t\t\t\trs.addAll(newRules) ;\n\t\t\t\t\t\t\tthis.clearAllStats();\n\t\t\t\t\t\t\tcurrentSystemVersion++ ;\n\t\t\t\t\t\t\tSystem.out.println(\"########################\");\n\t\t\t\t\t\t\tSystem.out.println(this);\n\t\t\t\t\t\t\tSystem.out.println(\"########################\");\t\t\t\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}//RMSEReduction\n\t\t\t\telse{\n\t\t\t\t\t// checking a possible extension\n\t\t\t\t\tif (this.instancesSeen > graceperiod && !drift ) {\n\t\t\t\t\t\tExtendedCandidateErrR bestExtension = this.checkValidExpansion();\n\t\t\t\t\t\tif ((bestExtension != null)) {\n\t\t\t\t\t\t\tif (chooseSingleRuleOption.isSet()) {\n\t\t\n\t\t\t\t\t\t\t\tVector newRules = bestExtension.CreateRuleFromExtension() ;\n\t\t\t\t\t\t\t\tif (bestExtension.getParentRule()!=defaultRule)\n\t\t\t\t\t\t\t\t\trs.remove(bestExtension.getParentRule()) ;\n\t\t\t\t\t\t\t\t\n\t\t//\t\t\t\t\t\tWe must choose the best candidate here!\n\t\t\t\t\t\t\t\tdouble [] SSESingleExtenstions = bestExtension.getMeanSSESingleExension() ;\n\t\t\t\t\t\t\t\tif (SSESingleExtenstions[0] newRules = bestExtension.CreateRuleFromExtension() ;\n\t\t\t\t\t\t\t\trs.remove(bestExtension.getParentRule()) ;\n\t\t\t\t\t\t\t\trs.addAll(newRules) ;\n\t\t\t\t\t\t\t\tthis.clearAllStats();\n\t\t\t\t\t\t\t\tthis.currentValidCandidates.clear() ;\n\t\t\t\t\t\t\t\tthis.currentNonReadyCandidates.clear() ;\n\t\t\t\t\t\t\t\tcurrentSystemVersion++ ;\n\t\t\t\t\t\t\t\tSystem.out.println(\"########################\");\n\t\t\t\t\t\t\t\tSystem.out.println(this);\n\t\t\t\t\t\t\t\tSystem.out.println(\"########################\");\n\t\t\t\t\t\t\t}\t\t\t\t\t\t\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\t\n\t\t\t\tif (chooseSingleRuleOption.isSet()) {\n\t\t\t\t\tdouble maxMembership = 0 ;\n\t\t\t\t\tfor (ResultSummary.ResultPair resultPair: resultSummary.getResultPairs()) {\n\t\t\t\t\t\tresultPair.getRule().trainOnInstance(resultSummary, resultPair);\n\t\t\t\t\t\tmaxMembership = Math.max(maxMembership, resultPair.getMembership()) ;\n\t\t\t\t\t}\n\t\t\t\t\tif (maxMembership < max_Membership_For_Choosing_Single_Rule)\n\t\t\t\t\t\tdefaultRule.trainOnInstance(resultSummary, resultSummary.getResultPairDefaultRule()) ;\n\t\t\t\t}else{\n\t\t\t\t\tfor (ResultSummary.ResultPair resultPair: resultSummary.getResultPairs()) {\n\t\t\t\t\t\tresultPair.getRule().trainOnInstance(resultSummary, resultPair);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}catch (Exception ex){\n\t\t\t\tex.printStackTrace();\n\t\t\t}\n\t\t}","public void run() throws Exception {\r\n\r\n\r\n LibSVM svm = new LibSVM();\r\n String svmOptions = \"-S 0 -K 2 -C 8 -G 0\"; //Final result: [1, -7 for saveTrainingDataToFileHybridSampling2 ]\r\n svm.setOptions(weka.core.Utils.splitOptions(svmOptions));\r\n System.out.println(\"SVM Type and Keranl Type= \" + svm.getSVMType() + svm.getKernelType());//1,3 best result 81%\r\n // svm.setNormalize(true);\r\n\r\n\r\n// load training data from .arff file\r\n ConverterUtils.DataSource source = new ConverterUtils.DataSource(\"C:\\\\Users\\\\hp\\\\Desktop\\\\SVM implementation\\\\arffData\\\\balancedTrainingDataUSSMOTE464Random.arff\");\r\n System.out.println(\"\\n\\nLoaded data:\\n\\n\" + source.getDataSet());\r\n Instances dataFiltered = source.getDataSet();\r\n dataFiltered.setClassIndex(0);\r\n\r\n // gridSearch(svm, dataFiltered);\r\n Evaluation evaluation = new Evaluation(dataFiltered);\r\n evaluation.crossValidateModel(svm, dataFiltered, 10, new Random(1));\r\n System.out.println(evaluation.toSummaryString());\r\n System.out.println(evaluation.weightedAreaUnderROC());\r\n double[][] confusionMatrix = evaluation.confusionMatrix();\r\n for (int i = 0; i < 2; i++) {\r\n for (int j = 0; j < 2; j++) {\r\n System.out.print(confusionMatrix[i][j] + \" \");\r\n\r\n }\r\n System.out.println();\r\n }\r\n System.out.println(\"accuracy for crime class= \" + (confusionMatrix[0][0] / (confusionMatrix[0][1] + confusionMatrix[0][0])) * 100 + \"%\");\r\n System.out.println(\"accuracy for other class= \" + (confusionMatrix[1][1] / (confusionMatrix[1][1] + confusionMatrix[1][0])) * 100 + \"%\");\r\n System.out.println(\"accuracy for crime class= \" + evaluation.truePositiveRate(0) + \"%\");\r\n System.out.println(\"accuracy for other class= \" + evaluation.truePositiveRate(1) + \"%\");\r\n\r\n\r\n }","public static void main(String... args) throws Exception {\n if (args.length != 3) {\n throw new Exception(\"Expecting three arguments\");\n }\n\n // Reading arguments: the data file path and the data separator\n String dataPath = args[0];\n final String separator = args[1];\n String modelPath = args[2];\n\n // Weights used to generate data subsets\n double[] weights = {.6, .2, .2};\n // Number of iteration performed during ALS\n int numIterations = 20;\n\n // Context initialization\n SparkConf sparkConf = new SparkConf().setAppName(\"ALS model computation\");\n JavaSparkContext jsc = new JavaSparkContext(sparkConf);\n\n // Transforming file content into JavaRDD\n JavaRDD data = jsc.textFile(dataPath);\n\n // Transforming each lines into ratings\n JavaRDD ratings = Utils.generateRatings(data, separator);\n\n // Generating train set, cross validation set and test set\n JavaRDD[] sets = ratings.randomSplit(weights);\n\n // Caching generated subsets\n sets[0].cache();\n sets[1].cache();\n sets[2].cache();\n\n MatrixFactorizationModel bestModel = null;\n double bestRMSE = 0;\n\n // Computing several model with different values for rank\n for (int rank = 1; rank <= 10; rank++) {\n // Training model with training set\n MatrixFactorizationModel model = ALS.train(sets[0].rdd(), rank, numIterations, 0.01);\n\n // Computing MSE over cross validation set\n double RMSE = Utils.computeRMSE(model, sets[1]);\n System.out.println(\"RMSE for rank \" + rank + \": \" + RMSE);\n\n // Saving model if better than the old one\n if (bestModel == null || RMSE < bestRMSE) {\n bestModel = model;\n bestRMSE = RMSE;\n }\n }\n\n // Evaluating best model on test set\n double RMSE = Utils.computeRMSE(bestModel, sets[2]);\n\n System.out.println(\"Model rank: \" + bestModel.rank());\n System.out.println(\"MSE compute over test set: \" + RMSE);\n\n // Saving best model\n bestModel.save(jsc.sc(), modelPath);\n\n // Stopping context\n\t\tjsc.stop();\n }","public static void main(String[] args) throws IOException {\n\t\tMain t = new Main();\n\t\tSystem.out.println(\"The model is trained: \");\n\t\tt.training(enTrainingDir, 0.7);\n\t\tSystem.out.println(\"Check validation in example of \\\"AB\\\":\");\n\t\tt.checkValid(\"AB\");\n\t\tSystem.out.println();\n\t\tSystem.out.println(\"============= unsmoothed models =============================================================================\");\n\t\tSystem.out.print(\"Unigram: \");\n\t\tSystem.out.println(t.uni);\n\t\tSystem.out.print(\"Bigram: \");\n\t\tSystem.out.println(t.bi);\n\t\tSystem.out.print(\"Trigram: \");\n\t\tSystem.out.println(t.tri);\n\t\tSystem.out.println();\n\t\tSystem.out.println(\"============= add-one smoothed models ========================================================================\");\n\t\tSystem.out.println(\"Note: this is only one of smoothed models , not the tuning process. Because there would be too many console lines.\");\n\t\tSystem.out.println(\"Here I take add-k = 0.7 as an example.\");\n\t\tSystem.out.println(\"*************************************************************************************************************\");\n\t\tdouble k = 0.7;\n\t\tt.training(enTrainingDir, 0.7);\n\t\tt.calculateScore(testDir, k, null, null);\n\t\tt.training(esTrainingDir, 0.7);\n\t\tt.calculateScore(testDir, k, null, null);\n\t\tt.training(deTrainingDir, 0.7);\n\t\tt.calculateScore(testDir, k, null, null);\n\t\tSystem.out.println(\"*************************************************************************************************************\");\n\t\tSystem.out.println(\"Then I take the classic add-k = 1.0 as an example.\");\n\t\tSystem.out.println(\"*************************************************************************************************************\");\n\t\tk = 1.0;\n\t\tt.training(enTrainingDir, 0.7);\n\t\tt.calculateScore(testDir, k, null, null);\n\t\tt.training(esTrainingDir, 0.7);\n\t\tt.calculateScore(testDir, k, null, null);\n\t\tt.training(deTrainingDir, 0.7);\n\t\tt.calculateScore(testDir, k, null, null);\n\t\tSystem.out.println();\n\t\tSystem.out.println(\"===== linear interpolation smoothed models ===================================================================\");\n\t\tdouble[] lambdas_tri = new double[] {1.0 / 3, 1.0 / 3, 1.0 / 3};\n\t\tdouble[] lambdas_bi = new double[] {1.0 / 2, 1.0 / 2};\n\t\tSystem.out.println(\"First is equally weighted lambdas: \" + Arrays.toString(lambdas_tri) + \" and \" + Arrays.toString(lambdas_bi));\n\t\tt.training(enTrainingDir, 0.7);\n\t\tt.calculateScore(testDir, 0, lambdas_bi, lambdas_tri);\n\t\tt.training(esTrainingDir, 0.7);\n\t\tt.calculateScore(testDir, 0, lambdas_bi, lambdas_tri);\n\t\tt.training(deTrainingDir, 0.7);\n\t\tt.calculateScore(testDir, 0, lambdas_bi, lambdas_tri);\n\t\tSystem.out.println(\"**************************************************************************************************************\");\n\t\tlambdas_tri = new double[] {0.5, 0.3, 0.2};\n\t\tlambdas_bi = new double[] {0.7, 0.3};\n\t\tSystem.out.println(\"Then is tuned-weighted lambdas: \" + Arrays.toString(lambdas_tri) + \" and \" + Arrays.toString(lambdas_bi));\n\t\tSystem.out.println(\"Again, this is not all the tuning process. Here is only one set of lambdas.\");\n\t\tt.training(enTrainingDir, 0.7);\n\t\tt.calculateScore(testDir, 0, lambdas_bi, lambdas_tri);\n\t\tt.training(esTrainingDir, 0.7);\n\t\tt.calculateScore(testDir, 0, lambdas_bi, lambdas_tri);\n\t\tt.training(deTrainingDir, 0.7);\n\t\tt.calculateScore(testDir, 0, lambdas_bi, lambdas_tri);\n\t\tSystem.out.println();\n\t\tSystem.out.println(\"=================== Generating texts ==========================================================================\");\n\t\tSystem.out.println(\"To save console space, here I generate A to E, five sentences. Feel free to adjust parameters in code.\");\n\t\tSystem.out.println(\"***************************************************************************************************************\");\n\t\tt.training(enTrainingDir, 0.7);\n\t\tSystem.out.println(\"**************** Bi-gram generating ***************************************************************************\");\n\t\tfor (char c = 'A'; c <= 'E'; c++) {\n\t\t\tt.generateWithBigramModel(String.valueOf(c));\n\t\t}\n\t\tSystem.out.println();\n\t\tSystem.out.println();\n\t\tSystem.out.println(\"Not that good huh?\");\n\t\tSystem.out.println(\"**************** Tri-gram generating *************************************************************************\");\n\t\tfor (char c = 'A'; c <= 'E'; c++) {\n\t\t\tt.generateWithBigramModel(String.valueOf(c));\n\t\t}\n\t\tSystem.out.println();\n\t\tSystem.out.println();\n\t\tSystem.out.println(\"...Seems not good as well.\");\n\t}","public abstract void setTrainParams(ClassificationMethod method,URL model,Map args) throws ClassificationException;","public static void main(String[] args) throws IOException, InterruptedException {\n\n File src = new ClassPathResource(\"winequality-red.csv\").getFile();\n\n FileSplit fileSplit = new FileSplit(src);\n\n RecordReader rr = new CSVRecordReader(1,',');// since there is header in the file remove row 1 with delimter coma\n rr.initialize(fileSplit);\n\n Schema sc = new Schema.Builder()\n .addColumnsDouble(\"fixed acidity\",\"volatile acidity\",\"citric acid\",\"residual sugar\",\"chlorides\",\"free sulfur dioxide\",\"total sulfur dioxide\",\"density\",\"pH\",\"sulphates\",\"alcohol\")\n .addColumnCategorical(\"quality\", Arrays.asList(\"3\",\"4\",\"5\",\"6\",\"7\",\"8\"))\n .build();\n\n TransformProcess tp = new TransformProcess.Builder(sc)\n .categoricalToInteger(\"quality\")\n .build();\n\n System.out.println(\"Initial Schema : \"+tp.getInitialSchema());\n System.out.println(\"New Schema : \"+tp.getFinalSchema());\n\n List> original_data = new ArrayList<>();\n\n while(rr.hasNext()){\n original_data.add(rr.next());\n }\n\n List> transformed_data = LocalTransformExecutor.execute(original_data,tp);\n\n CollectionRecordReader crr = new CollectionRecordReader(transformed_data);\n\n DataSetIterator iter = new RecordReaderDataSetIterator(crr,transformed_data.size(),-1,6);\n\n DataSet fullDataSet = iter.next();\n fullDataSet.shuffle(seed);\n\n SplitTestAndTrain traintestsplit = fullDataSet.splitTestAndTrain(0.8);\n DataSet trainDataSet = traintestsplit.getTrain();\n DataSet testDataSet = traintestsplit.getTest();\n\n\n DataNormalization normalization = new NormalizerMinMaxScaler();\n normalization.fit(trainDataSet);\n normalization.transform(trainDataSet);\n normalization.transform(testDataSet);\n\n MultiLayerConfiguration config = getConfig (numberInput,numberClasses,learning_rate);\n\n MultiLayerNetwork model = new MultiLayerNetwork(config);\n model.init();\n\n //UI-Evaluator\n StatsStorage storage = new InMemoryStatsStorage();\n UIServer server = UIServer.getInstance();\n server.attach(storage);\n\n //Set model listeners\n model.setListeners(new StatsListener(storage, 10));\n\n Evaluation eval;\n\n for(int i=0;i extends\n HasLabelCol,\n HasVectorColDefaultAsNull,\n HasWeightColDefaultAsNull,\n HasEpsilonDv0000001,\n HasFeatureColsDefaultAsNull,\n FmCommonTrainParams {\n\n /**\n * @cn-name 迭代数据batch size\n * @cn 数据batch size\n */\n ParamInfo MINIBATCH_SIZE = ParamInfoFactory\n .createParamInfo(\"batchSize\", Integer.class)\n .setDescription(\"mini-batch size\")\n\t\t\t.setAlias(new String[]{\"minibatchSize\"})\n .setHasDefaultValue(-1)\n .build();\n\n default Integer getBatchSize() {\n return get(MINIBATCH_SIZE);\n }\n\n default T setBatchSize(Integer value) {\n return set(MINIBATCH_SIZE, value);\n }\n}","public void train() {\n\n\t\tint D = Os.length;\n\t\tint T_n = 0;\n\t\tdouble log_likelihood = 0;\n\t\tdouble log_likelihood_new = 0;\n\t\tdouble epsilon = this.epsilon;\n\t\tint maxIter = this.maxIter;\n\n\t\t// Initialization\n\n\t\tclearVector(pi);\n\t\tclearMatrix(A);\n\t\tclearMatrix(B);\n\n\t\tdouble[] a = allocateVector(N);\n\t\tdouble[] b = allocateVector(N);\n\n\t\tint[] Q_n = null;\n\t\tint[] O_n = null;\n\t\t\n\t\tif (Qs == null) {\n\t\t\t\n\t\t\tpi = initializePi();\n\t\t\tA = initializeA();\n\t\t\tB = initializeB();\n\t\t\t\n\t\t} else {\n\t\t\t\n\t\t\tfor (int n = 0; n < D; n++) {\n\t\t\t\tQ_n = Qs[n];\n\t\t\t\tO_n = Os[n];\n\t\t\t\tT_n = Os[n].length;\n\t\t\t\tfor (int t = 0; t < T_n; t++) {\n\t\t\t\t\tif (t < T_n - 1) {\n\t\t\t\t\t\tA[Q_n[t]][Q_n[t + 1]] += 1;\n\t\t\t\t\t\ta[Q_n[t]] += 1;\n\t\t\t\t\t\tif (t == 0) {\n\t\t\t\t\t\t\tpi[Q_n[0]] += 1;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tB[Q_n[t]][O_n[t]] += 1;\n\t\t\t\t\tb[Q_n[t]] += 1;\n\t\t\t\t}\n\t\t\t}\n\t\t\tdivideAssign(pi, D);\n\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\tdivideAssign(A[i], a[i]);\n\t\t\t\tdivideAssign(B[i], b[i]);\n\t\t\t}\n\t\t\t\n\t\t}\n\n\t\tint s = 0;\n\t\tdouble[] pi_new = allocateVector(N);\n\t\tdouble[][] A_new = allocateMatrix(N, N);\n\t\tdouble[][] B_new = allocateMatrix(N, M);\n\t\tdouble[] temp_pi = null;\n\t\tdouble[][] temp_A = null;\n\t\tdouble[][] temp_B = null;\n\t\tdouble[][] alpha_hat = null;\n\t\tdouble[][] beta_hat = null;\n\t\tdouble[] c_n = null;\n\t\tdouble[][] xi = allocateMatrix(N, N);\n\t\tdouble[] gamma = allocateVector(N);\n\t\tdo {\n\n\t\t\t// Clearance\n\t\t\tclearVector(pi_new);\n\t\t\tclearMatrix(A_new);\n\t\t\tclearMatrix(B_new);\n\t\t\tclearVector(a);\n\t\t\tclearVector(b);\n\t\t\t/*clearMatrix(xi);\n\t\t\tclearVector(gamma);*/\n\t\t\tlog_likelihood_new = 0;\n\n\t\t\tfor (int n = 0; n < D; n++) {\n\n\t\t\t\t// Q_n = Qs[n];\n\t\t\t\tO_n = Os[n];\n\t\t\t\tT_n = Os[n].length;\n\t\t\t\tc_n = allocateVector(T_n);\n\t\t\t\talpha_hat = allocateMatrix(T_n, N);\n\t\t\t\tbeta_hat = allocateMatrix(T_n, N);\n\n\t\t\t\t// Forward Recursion with Scaling\t\t\t\n\n\t\t\t\tfor (int t = 0; t <= T_n - 1; t++) {\n\t\t\t\t\tif (t == 0) {\n\t\t\t\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\t\t\t\talpha_hat[0][i] = pi[i] * B[i][O_n[0]];\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tfor (int j = 0; j < N; j++) {\n\t\t\t\t\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\t\t\t\t\talpha_hat[t][j] += alpha_hat[t - 1][i] * A[i][j] * B[j][O_n[t]];\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tc_n[t] = 1.0 / sum(alpha_hat[t]);\n\t\t\t\t\ttimesAssign(alpha_hat[t], c_n[t]);\n\t\t\t\t}\n\n\t\t\t\t// Backward Recursion with Scaling\n\n\t\t\t\tfor (int t = T_n + 1; t >= 2; t--) {\n\t\t\t\t\tif (t == T_n + 1) {\n\t\t\t\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\t\t\t\tbeta_hat[t - 2][i] = 1;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tif (t <= T_n) {\n\t\t\t\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\t\t\t\tfor (int j = 0; j < N; j++) {\n\t\t\t\t\t\t\t\tbeta_hat[t - 2][i] += A[i][j] * B[j][O_n[t - 1]] * beta_hat[t - 1][j];\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\ttimesAssign(beta_hat[t - 2], c_n[t - 2]);\n\t\t\t\t}\n\n\t\t\t\t// Expectation Variables and Updating Model Parameters\n\n\t\t\t\tfor (int t = 0; t <= T_n - 1; t++) {\n\t\t\t\t\tif (t < T_n - 1) {\n\t\t\t\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\t\t\t\tfor (int j = 0; j < N; j++) {\n\t\t\t\t\t\t\t\txi[i][j] = alpha_hat[t][i] * A[i][j] * B[j][O_n[t + 1]] * beta_hat[t + 1][j];\n\t\t\t\t\t\t\t\t// A_new[i][j] += xi[i][j];\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tplusAssign(A_new[i], xi[i]);\n\t\t\t\t\t\t\tgamma[i] = sum(xi[i]);\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif (t == 0) {\n\t\t\t\t\t\t\tplusAssign(pi_new, gamma);\n\t\t\t\t\t\t}\n\t\t\t\t\t\tplusAssign(a, gamma);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tassignVector(gamma, alpha_hat[t]);\n\t\t\t\t\t}\n\t\t\t\t\tfor (int j = 0; j < N; j++) {\n\t\t\t\t\t\tB_new[j][O_n[t]] += gamma[j];\n\t\t\t\t\t}\n\t\t\t\t\tplusAssign(b, gamma);\n\t\t\t\t\tlog_likelihood_new += -Math.log(c_n[t]);\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Normalization (Sum to One)\n\n\t\t\tsum2one(pi_new);\n\n\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\tdivideAssign(A_new[i], a[i]);\n\t\t\t}\n\n\t\t\tfor (int j = 0; j < N; j++) {\n\t\t\t\tdivideAssign(B_new[j], b[j]);\n\t\t\t}\n\n\t\t\ttemp_pi = pi;\n\t\t\tpi = pi_new;\n\t\t\tpi_new = temp_pi;\n\n\t\t\ttemp_A = A;\n\t\t\tA = A_new;\n\t\t\tA_new = temp_A;\n\n\t\t\ttemp_B = B;\n\t\t\tB = B_new;\n\t\t\tB_new = temp_B;\n\t\t\t// display(B);\n\n\t\t\ts = s + 1;\n\n\t\t\tif (s > 1) {\n\t\t\t\tif (Math.abs((log_likelihood_new - log_likelihood) / log_likelihood) < epsilon) {\n\t\t\t\t\tfprintf(\"log[P(O|Theta)] does not increase.\\n\\n\");\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tlog_likelihood = log_likelihood_new;\n\t\t\tfprintf(\"Iter: %d, log[P(O|Theta)]: %f\\n\", s, log_likelihood);\n\n\t\t} while (s < maxIter);\n\n\t}","public ModelParams optimize() throws Exception {\n\t\tint iterCount = 0;\n\t\tdivergence = KLDivergenceCalculator.calculate(cState, tState);\n\t\tSystem.out.println(\"KL Divergence : \" + divergence);\n\t\t// ((DivergenceChart) BeanFinder\n\t\t// .findBean(MetaConstants.BEAN_DIVERGENCE_CHART)).update(\n\t\t// iterCount, divergence);\n\t\tdouble delta[] = null;\n\t\tdouble theta[] = data.getParams().getParams();\n\t\tdouble newDivergence = 0.0d;\n\t\tdouble initialStep = data.getInitialStepSize();\n\t\tboolean optimized = false;\n\t\tdo {\n\t\t\tdelta = computeGradient(theta);\n\t\t\tfor (double step = initialStep; iterCount < data.getMaxIterations(); step /= 10) {\n\t\t\t\tSystem.out.println(\"Step size : \" + step);\n\t\t\t\tSystem.out.println(\"KL divergence before taking a step : \"\n\t\t\t\t\t\t+ KLDivergenceCalculator.calculate(cState, tState));\n\t\t\t\tfor (int i = 0; i < delta.length; i++) {\n\t\t\t\t\tif (Double.isNaN(delta[i]))\n\t\t\t\t\t\tSystem.out.print(\"delta is NAN!!\" + delta[i] + \", \");\n\t\t\t\t\ttheta[i] -= step * delta[i];\n\t\t\t\t\tSystem.out.print((theta[i]) + \", \");\n\t\t\t\t}\n\t\t\t\tSystem.out.println();\n\t\t\t\tgetNewState(theta);\n\t\t\t\titerCount++;\n\t\t\t\tnewDivergence = KLDivergenceCalculator\n\t\t\t\t\t\t.calculate(cState, tState);\n\t\t\t\tSystem.out.println(\"KL Divergence : \" + newDivergence);\n\t\t\t\t// ((DivergenceChart) BeanFinder\n\t\t\t\t// .findBean(MetaConstants.BEAN_DIVERGENCE_CHART)).update(\n\t\t\t\t// iterCount, newDivergence);\n\t\t\t\tif (newDivergence < divergence) {\n\t\t\t\t\tdivergence = newDivergence;\n\t\t\t\t\tinitialStep = step;\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\t// before taking the next step size, reset theta to what it was\n\t\t\t\tfor (int i = 0; i < delta.length; i++)\n\t\t\t\t\ttheta[i] += step * delta[i];\n\t\t\t\tgetNewState(theta); // Added for checking. Not required.\n\t\t\t}\n\t\t\toptimized = optimized(theta);\n\t\t} while (!optimized && iterCount < data.getMaxIterations());\n\t\tModelParams optimParams = null;\n\t\tif (optimized) {\n\t\t\toptimParams = new ModelParams();\n\t\t\toptimParams.setParams(theta);\n\t\t}\n\t\treturn optimParams;\n\t}","public void test(List modelFiles, String testFile, String prpFile) {\n/* 1014 */ List> trainingData = new ArrayList<>();\n/* 1015 */ List> testData = new ArrayList<>();\n/* */ \n/* */ \n/* 1018 */ int nFold = modelFiles.size();\n/* */ \n/* 1020 */ List samples = readInput(testFile);\n/* */ \n/* 1022 */ System.out.print(\"Preparing \" + nFold + \"-fold test data... \");\n/* 1023 */ FeatureManager.prepareCV(samples, nFold, trainingData, testData);\n/* 1024 */ System.out.println(\"[Done.]\");\n/* 1025 */ double rankScore = 0.0D;\n/* 1026 */ List ids = new ArrayList<>();\n/* 1027 */ List scores = new ArrayList<>();\n/* 1028 */ for (int f = 0; f < nFold; f++) {\n/* */ \n/* 1030 */ List test = testData.get(f);\n/* 1031 */ Ranker ranker = this.rFact.loadRankerFromFile(modelFiles.get(f));\n/* 1032 */ int[] features = ranker.getFeatures();\n/* 1033 */ if (normalize) {\n/* 1034 */ normalize(test, features);\n/* */ }\n/* 1036 */ for (RankList aTest : test) {\n/* 1037 */ RankList l = ranker.rank(aTest);\n/* 1038 */ double score = this.testScorer.score(l);\n/* 1039 */ ids.add(l.getID());\n/* 1040 */ scores.add(Double.valueOf(score));\n/* 1041 */ rankScore += score;\n/* */ } \n/* */ } \n/* 1044 */ rankScore /= ids.size();\n/* 1045 */ ids.add(\"all\");\n/* 1046 */ scores.add(Double.valueOf(rankScore));\n/* 1047 */ System.out.println(this.testScorer.name() + \" on test data: \" + SimpleMath.round(rankScore, 4));\n/* */ \n/* 1049 */ if (!prpFile.isEmpty()) {\n/* */ \n/* 1051 */ savePerRankListPerformanceFile(ids, scores, prpFile);\n/* 1052 */ System.out.println(\"Per-ranked list performance saved to: \" + prpFile);\n/* */ } \n/* */ }","private void runBest() {\n }","public void trainModel(List brs){\r\n\t\t\r\n\t\tdouble startTime = System.currentTimeMillis();\r\n\t\tthis.initializeModel(brs);\r\n\t\tthis.inferenceModel(brs);\r\n\t\tdouble endTime = System.currentTimeMillis();\r\n\t\tSystem.out.println(\"LDA training time cost: \"+(endTime-startTime)/1000.0);\r\n\t\t\r\n\t}","public InterpolationModel() {\n\tUnigram = new UnigramModel();\n\tBigram = new BigramModel();\n\tTrigram = new TrigramModel();\n }","public ME_Model() {\n _nheldout = 0;\n _early_stopping_n = 0;\n _ref_modelp = null;\n }","private void trainOnSamples() {\n for (Sample sample : samples) {\n double sum = 0;\n \n for (int i = 0; i < weights.length; i++) { //calculating w1.x1 + w2.x2 + ... \n sum += weights[i] * sample.getP()[i];\n }\n sum += bias; //adding bias to the sum\n\n if (!compareOutput(sum, sample)) { //compare network & target output\n //updating the weights\n for (int i = 0; i < weights.length; i++) {\n weights[i] += sample.getTarget() * sample.getP()[i];\n }\n //updating the bias\n bias += sample.getTarget();\n sample.setValidation(false);\n } else {\n sample.setValidation(true);\n }\n }\n }","public void tune() {\n\t\tSystem.out.println(\"ting.. ting...\");\n\t}","public void saveTrainingDataToFileHybridSampling1() throws Exception {\n NGramTokenizer tokenizer = new NGramTokenizer();\r\n tokenizer.setNGramMinSize(1);\r\n tokenizer.setNGramMaxSize(1);\r\n tokenizer.setDelimiters(\"\\\\W\");\r\n\r\n //set stemmer - set english stemmer\r\n SnowballStemmer stemmer = new SnowballStemmer();\r\n stemmer.setStemmer(\"english\");\r\n\r\n //set lemmatizer\r\n StanfordCoreNLPLemmatizer scnlpl = new StanfordCoreNLPLemmatizer();\r\n\r\n //create new filter for vector transformation\r\n StringToWordVector filter = new StringToWordVector();\r\n filter.setLowerCaseTokens(true);\r\n filter.setOutputWordCounts(true);\r\n filter.setTFTransform(true);\r\n filter.setIDFTransform(true);\r\n filter.setStopwords(new File(\"C:\\\\Users\\\\hp\\\\Desktop\\\\SVM implementation\\\\StopWordsR2.txt\")); // stop word removal given in research paper\r\n filter.setTokenizer(tokenizer);\r\n filter.setStemmer(scnlpl);\r\n\r\n System.out.println(\"Stemmer Name- \" + filter.getStemmer());\r\n\r\n InstanceQuery query = new InstanceQuery();\r\n query.setUsername(\"root\");\r\n query.setPassword(\"\");\r\n\r\n int numberOfPapers = 5;\r\n Instances[] otherArticles = new Instances[numberOfPapers];\r\n query.setQuery(\"SELECT content, label FROM article_ceylon_today_2013 where `label` = 'other'\");\r\n otherArticles[0] = query.retrieveInstances();\r\n\r\n query.setQuery(\"SELECT content, label FROM article_daily_mirror_2012 where `label` ='other'\");\r\n otherArticles[1] = query.retrieveInstances();\r\n\r\n query.setQuery(\"SELECT content, label FROM article_daily_mirror_2013 where `label` ='other'\");\r\n otherArticles[2] = query.retrieveInstances();\r\n\r\n query.setQuery(\"SELECT content, label FROM article_the_island_2012 where `label` = 'other'\");\r\n otherArticles[3] = query.retrieveInstances();\r\n\r\n query.setQuery(\"SELECT content, label FROM article_the_island_2013 where `label` = 'other'\");\r\n otherArticles[4] = query.retrieveInstances();\r\n\r\n Instances[] crimeArticles = new Instances[numberOfPapers];\r\n query.setQuery(\"SELECT content, label FROM article_ceylon_today_2013 where `label` = 'crime'\");\r\n crimeArticles[0] = query.retrieveInstances();\r\n\r\n query.setQuery(\"SELECT content, label FROM article_daily_mirror_2012 where `label` ='crime'\");\r\n crimeArticles[1] = query.retrieveInstances();\r\n\r\n query.setQuery(\"SELECT content, label FROM article_daily_mirror_2013 where `label` ='crime'\");\r\n crimeArticles[2] = query.retrieveInstances();\r\n\r\n query.setQuery(\"SELECT content, label FROM article_the_island_2012 where `label` = 'crime'\");\r\n crimeArticles[3] = query.retrieveInstances();\r\n\r\n query.setQuery(\"SELECT content, label FROM article_the_island_2013 where `label` = 'crime'\");\r\n crimeArticles[4] = query.retrieveInstances();\r\n\r\n FastVector attributeList = new FastVector(2);\r\n Attribute a1 = new Attribute(\"text\", (FastVector) null);\r\n FastVector classVal = new FastVector();\r\n classVal.addElement(\"crime\");\r\n classVal.addElement(\"other\");\r\n Attribute c = new Attribute(\"@@class@@\", classVal);\r\n //add class attribute and news text\r\n attributeList.addElement(a1);\r\n attributeList.addElement(c);\r\n Instances trainingData = new Instances(\"TrainingNews\", attributeList, 0);\r\n trainingData.setClassIndex(1);\r\n\r\n //up sampling using SMOTE\r\n int crimeArticlesCount = 0;\r\n for (int i = 0; i < numberOfPapers; i++) {\r\n for (int j = 0; j < crimeArticles[i].numInstances(); j++) {\r\n\r\n Instance inst = new Instance(trainingData.numAttributes());\r\n inst.setValue(a1, crimeArticles[i].instance(j).stringValue(0));\r\n inst.setValue(c, crimeArticles[i].instance(j).stringValue(1));\r\n inst.setDataset(trainingData);\r\n\r\n\r\n System.out.println(inst);\r\n trainingData.add(inst);\r\n crimeArticlesCount++;\r\n// if (crimeArticlesCount == 50) {\r\n// break;\r\n// }\r\n }\r\n// if (crimeArticlesCount == 50) {\r\n// break;\r\n// }\r\n }\r\n\r\n System.out.println(\"Total Number of Crime Instances: \" + crimeArticlesCount);\r\n\r\n //downsampling using ?? \r\n int otherArticlesCount = 0;\r\n for (int i = 0; i < numberOfPapers; i++) {\r\n for (int j = 0; j < otherArticles[i].numInstances(); j++) {\r\n Instance inst = new Instance(trainingData.numAttributes());\r\n inst.setValue(a1, otherArticles[i].instance(j).stringValue(0));\r\n inst.setValue(c, otherArticles[i].instance(j).stringValue(1));\r\n inst.setDataset(trainingData);\r\n System.out.println(inst);\r\n trainingData.add(inst);\r\n otherArticlesCount++;\r\n\r\n if (otherArticlesCount == 4872) {\r\n break;\r\n }\r\n }\r\n if (otherArticlesCount == 4872) {\r\n break;\r\n }\r\n }\r\n System.out.println(\"Total Number of Other Instances: \" + otherArticlesCount);\r\n System.out.println(\"Total num of instances= \" + trainingData.numInstances());\r\n\r\n // apply the StringToWordVector filter\r\n filter.setInputFormat(trainingData);\r\n Instances dataFiltered = Filter.useFilter(trainingData, filter);\r\n System.out.println(\"Number of Attributes after stop words removal- \" + dataFiltered.numAttributes());\r\n System.out.println(\"\\n\\nFiltered data:\\n\\n\" + dataFiltered);\r\n\r\n /**\r\n * Resamples a dataset by applying the Synthetic Minority Oversampling\r\n * TEchnique (SMOTE)\r\n * http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume16/chawla02a-html/node6.html\r\n * http://weka.sourceforge.net/doc.packages/SMOTE/weka/filters/supervised/instance/SMOTE.html \r\n *\r\n */\r\n SMOTE s = new SMOTE();\r\n s.setInputFormat(dataFiltered);\r\n // Specifies percentage of SMOTE instances to create.\r\n s.setPercentage(300.0);//464\r\n Instances dataBalanced = Filter.useFilter(dataFiltered, s);\r\n\r\n Random r = new Random();\r\n dataBalanced.randomize(r);\r\n\r\n ArffSaver saver = new ArffSaver();\r\n saver.setInstances(dataBalanced);\r\n saver.setFile(new File(\"C:\\\\Users\\\\hp\\\\Desktop\\\\SVM implementation\\\\arffData\\\\balancedTrainingDataHybridRandom.arff\"));\r\n saver.writeBatch();\r\n }","@Override\n public void performRecommendedDataMiningMethodForAnalysis(Analysis analysis) throws IOException {\n }","public interface SingleWeightVectorModel extends SimpleWeightVectorModel {\n /**\n * Returns the only weight vector used for the model\n *\n * @return the only weight vector used for the model\n */\n public Vec getRawWeight();\n\n /**\n * Returns the bias term used for the model, or 0 of the model does not support\n * or was not trained with a bias term.\n *\n * @return the bias term for the model\n */\n public double getBias();\n}","@Test()\n public void testTrainWarmCFastSMO() {\n ClassificationDataSet train = FixedProblems.getHalfCircles(250, RandomUtil.getRandom(), 0.1, 0.2);\n\n PlattSMO warmModel = new PlattSMO(new LinearKernel(1));\n warmModel.setC(1);\n warmModel.train(train);\n\n PlattSMO warm = new PlattSMO(new LinearKernel(1));\n warm.setC(1e4);// too large to train efficently like noraml\n\n long start, end;\n\n start = System.currentTimeMillis();\n warm.train(train, warmModel);\n end = System.currentTimeMillis();\n long warmTime = (end - start);\n\n PlattSMO notWarm = new PlattSMO(new LinearKernel(1));\n notWarm.setC(1e4);// too large to train efficently like noraml\n\n start = System.currentTimeMillis();\n notWarm.train(train);\n end = System.currentTimeMillis();\n long normTime = (end - start);\n\n assertTrue(warmTime < normTime * 0.75);\n\n }","public void train()\n\t{\n\t\tdbiterator = DBInstanceIterator.getInstance();\n System.out.println(\"Start Training ..\");\n\n\t\ttry {\n\t\t\tSystem.out.println(\"Training Text %..\");\n\t\t\ttrainText();\n\n\t\t\tSystem.out.println(\"Training Complex %..\");\n\t\t\ttrainCombined();\n\n\t\t\tSystem.out.println(\"Training Feature %..\");\n\t\t\ttrainFeatures();\n\n\t\t\tSystem.out.println(\"Training Lexicon %..\");\n\t\t\t//trainLexicon();\n\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\n\t}","public abstract void fit(BinaryData trainingData);","private void learn() {\n\t\tupdateValues();\n\t\tif(CFG.isUpdatedPerformanceHistory()){\n\t\t\tupdateHistory();\n\t\t}\n\t\tif(CFG.isEvaluated()) evaluate();\n\t}","public T caseOptimization_Model(Optimization_Model object)\n {\n return null;\n }","public interface TreeEnsembleRegressorParams extends org.apache.spark.ml.tree.TreeEnsembleParams {\n public org.apache.spark.sql.types.StructType validateAndTransformSchema (org.apache.spark.sql.types.StructType schema, boolean fitting, org.apache.spark.sql.types.DataType featuresDataType) ;\n}","public WeightingModel(){}","public void saveTrainingDataToFileDownSampling() throws Exception {\r\n //set tokenizer - we can specify n-grams for classification\r\n NGramTokenizer tokenizer = new NGramTokenizer();\r\n tokenizer.setNGramMinSize(1);\r\n tokenizer.setNGramMaxSize(1);\r\n tokenizer.setDelimiters(\"\\\\W\");\r\n\r\n //set stemmer - set english stemmer\r\n SnowballStemmer stemmer = new SnowballStemmer();\r\n stemmer.setStemmer(\"english\");\r\n\r\n //set lemmatizer\r\n StanfordCoreNLPLemmatizer scnlpl = new StanfordCoreNLPLemmatizer();\r\n\r\n //create new filter for vector transformation\r\n StringToWordVector filter = new StringToWordVector();\r\n filter.setLowerCaseTokens(true);\r\n filter.setOutputWordCounts(true);\r\n filter.setTFTransform(true);\r\n filter.setIDFTransform(true);\r\n filter.setStopwords(new File(\"C:\\\\Users\\\\hp\\\\Desktop\\\\SVM implementation\\\\StopWordsR2.txt\")); // stop word removal given in research paper\r\n filter.setTokenizer(tokenizer);\r\n filter.setStemmer(scnlpl);\r\n System.out.println(\"Stemmer Name- \" + filter.getStemmer());\r\n\r\n InstanceQuery query = new InstanceQuery();\r\n query.setUsername(\"root\");\r\n query.setPassword(\"\");\r\n\r\n int numberOfPapers = 5;\r\n\r\n Instances[] otherArticles = new Instances[numberOfPapers];\r\n query.setQuery(\"SELECT content, label FROM article_ceylon_today_2013 where `label` = 'other'\");\r\n otherArticles[0] = query.retrieveInstances();\r\n\r\n query.setQuery(\"SELECT content, label FROM article_daily_mirror_2012 where `label` ='other'\");\r\n otherArticles[1] = query.retrieveInstances();\r\n\r\n query.setQuery(\"SELECT content, label FROM article_daily_mirror_2013 where `label` ='other'\");\r\n otherArticles[2] = query.retrieveInstances();\r\n\r\n //SELECT content, label FROM article_the_island_2012 where `label` IS NOT NULL\r\n query.setQuery(\"SELECT content, label FROM article_the_island_2012 where `label` = 'other'\");\r\n otherArticles[3] = query.retrieveInstances();\r\n\r\n query.setQuery(\"SELECT content, label FROM article_the_island_2013 where `label` = 'other'\");\r\n otherArticles[4] = query.retrieveInstances();\r\n\r\n Instances[] crimeArticles = new Instances[numberOfPapers];\r\n query.setQuery(\"SELECT content, label FROM article_ceylon_today_2013 where `label` = 'crime'\");\r\n crimeArticles[0] = query.retrieveInstances();\r\n\r\n query.setQuery(\"SELECT content, label FROM article_daily_mirror_2012 where `label` ='crime'\");\r\n crimeArticles[1] = query.retrieveInstances();\r\n\r\n query.setQuery(\"SELECT content, label FROM article_daily_mirror_2013 where `label` ='crime'\");\r\n crimeArticles[2] = query.retrieveInstances();\r\n\r\n //SELECT content, label FROM article_the_island_2012 where `label` IS NOT NULL\r\n query.setQuery(\"SELECT content, label FROM article_the_island_2012 where `label` = 'crime'\");\r\n crimeArticles[3] = query.retrieveInstances();\r\n\r\n query.setQuery(\"SELECT content, label FROM article_the_island_2013 where `label` = 'crime'\");\r\n crimeArticles[4] = query.retrieveInstances();\r\n\r\n FastVector attributeList = new FastVector(2);\r\n Attribute a1 = new Attribute(\"text\", (FastVector) null);\r\n FastVector classVal = new FastVector();\r\n classVal.addElement(\"crime\");\r\n classVal.addElement(\"other\");\r\n Attribute c = new Attribute(\"@@class@@\", classVal);\r\n //add class attribute and news text\r\n attributeList.addElement(a1);\r\n attributeList.addElement(c);\r\n Instances trainingData = new Instances(\"TrainingNews\", attributeList, 0);\r\n trainingData.setClassIndex(1);\r\n\r\n int crimeArticlesCount = 0;\r\n for (int i = 0; i < numberOfPapers; i++) {\r\n for (int j = 0; j < crimeArticles[i].numInstances(); j++) {\r\n Instance inst = new Instance(trainingData.numAttributes());\r\n inst.setValue(a1, crimeArticles[i].instance(j).stringValue(0));\r\n inst.setValue(c, crimeArticles[i].instance(j).stringValue(1));\r\n inst.setDataset(trainingData);\r\n\r\n\r\n System.out.println(inst);\r\n trainingData.add(inst);\r\n crimeArticlesCount++;\r\n }\r\n }\r\n System.out.println(\"Total Number of Crime Instances: \" + crimeArticlesCount);\r\n\r\n int otherArticlesCount = 0;\r\n for (int i = 0; i < numberOfPapers; i++) {\r\n for (int j = 0; j < otherArticles[i].numInstances(); j++) {\r\n Instance inst = new Instance(trainingData.numAttributes());\r\n inst.setValue(a1, otherArticles[i].instance(j).stringValue(0));\r\n inst.setValue(c, otherArticles[i].instance(j).stringValue(1));\r\n inst.setDataset(trainingData);\r\n\r\n\r\n System.out.println(inst);\r\n trainingData.add(inst);\r\n otherArticlesCount++;\r\n\r\n if (otherArticlesCount == crimeArticlesCount) {\r\n break;\r\n }\r\n }\r\n if (otherArticlesCount == crimeArticlesCount) {\r\n break;\r\n }\r\n }\r\n System.out.println(\"Total Number of Other Instances: \" + otherArticlesCount);\r\n System.out.println(\"Total num of instances= \" + trainingData.numInstances());\r\n\r\n // apply the StringToWordVector filter\r\n filter.setInputFormat(trainingData);\r\n Instances dataFiltered = Filter.useFilter(trainingData, filter);\r\n System.out.println(\"Number of Attributes after stop words removal- \" + dataFiltered.numAttributes());\r\n System.out.println(\"\\n\\nFiltered data:\\n\\n\" + dataFiltered);\r\n\r\n Random r = new Random();\r\n dataFiltered.randomize(r);\r\n\r\n ArffSaver saver = new ArffSaver();\r\n saver.setInstances(dataFiltered);\r\n saver.setFile(new File(\"C:\\\\Users\\\\hp\\\\Desktop\\\\SVM implementation\\\\arffData\\\\balancedTrainingDataDSRandom.arff\"));\r\n saver.writeBatch();\r\n }","public void train ()\t{\t}","public void run (ModelNetUse modelNetUse)\n throws NormalizeNullVectorException\n {\n init(modelNetUse);\n /* Main loop */\n LearningEditProposal bestEdition = getBestEdit(true,true);\n while (bestEdition != null)\n {\n step (bestEdition.getEdit ());\n bestEdition = getBestEdit (true, true);\n }\n /* Parametric Learning */\n parametricLearning();\n }","@Test(timeout = 4000)\n public void test098() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n FilteredClassifier filteredClassifier0 = new FilteredClassifier();\n try { \n Evaluation.evaluateModel((Classifier) filteredClassifier0, testInstances0.DEFAULT_WORDS);\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // \n // Weka exception: No training file and no object input file given.\n // \n // General options:\n // \n // -h or -help\n // \\tOutput help information.\n // -synopsis or -info\n // \\tOutput synopsis for classifier (use in conjunction with -h)\n // -t \n // \\tSets training file.\n // -T \n // \\tSets test file. If missing, a cross-validation will be performed\n // \\ton the training data.\n // -c \n // \\tSets index of class attribute (default: last).\n // -x \n // \\tSets number of folds for cross-validation (default: 10).\n // -no-cv\n // \\tDo not perform any cross validation.\n // -split-percentage \n // \\tSets the percentage for the train/test set split, e.g., 66.\n // -preserve-order\n // \\tPreserves the order in the percentage split.\n // -s \n // \\tSets random number seed for cross-validation or percentage split\n // \\t(default: 1).\n // -m \n // \\tSets file with cost matrix.\n // -l \n // \\tSets model input file. In case the filename ends with '.xml',\n // \\ta PMML file is loaded or, if that fails, options are loaded\n // \\tfrom the XML file.\n // -d \n // \\tSets model output file. In case the filename ends with '.xml',\n // \\tonly the options are saved to the XML file, not the model.\n // -v\n // \\tOutputs no statistics for training data.\n // -o\n // \\tOutputs statistics only, not the classifier.\n // -i\n // \\tOutputs detailed information-retrieval statistics for each class.\n // -k\n // \\tOutputs information-theoretic statistics.\n // -classifications \\\"weka.classifiers.evaluation.output.prediction.AbstractOutput + options\\\"\n // \\tUses the specified class for generating the classification output.\n // \\tE.g.: weka.classifiers.evaluation.output.prediction.PlainText\n // -p range\n // \\tOutputs predictions for test instances (or the train instances if\n // \\tno test instances provided and -no-cv is used), along with the \n // \\tattributes in the specified range (and nothing else). \n // \\tUse '-p 0' if no attributes are desired.\n // \\tDeprecated: use \\\"-classifications ...\\\" instead.\n // -distribution\n // \\tOutputs the distribution instead of only the prediction\n // \\tin conjunction with the '-p' option (only nominal classes).\n // \\tDeprecated: use \\\"-classifications ...\\\" instead.\n // -r\n // \\tOnly outputs cumulative margin distribution.\n // -g\n // \\tOnly outputs the graph representation of the classifier.\n // -xml filename | xml-string\n // \\tRetrieves the options from the XML-data instead of the command line.\n // -threshold-file \n // \\tThe file to save the threshold data to.\n // \\tThe format is determined by the extensions, e.g., '.arff' for ARFF \n // \\tformat or '.csv' for CSV.\n // -threshold-label