4) return false;\\n\\n // check row \\\"row\\\"\\n if (boardData[row][0].equals(boardData[row][1]) && boardData[row][0].equals(boardData[row][2])) return true;\\n\\n // check column \\\"col\\\"\\n\\n if (boardData[0][col].equals(boardData[1][col]) && boardData[0][col].equals(boardData[2][col])) return true;\\n\\n // if row=col check one diagonal\\n\\n if (row == col)\\n if (boardData[0][0].equals(boardData[1][1]) && boardData[0][0].equals(boardData[2][2])) return true;\\n\\n // if row=2-col check other diagonal\\n\\n if (row == 2 - col)\\n if (boardData[0][2].equals(boardData[1][1]) && boardData[0][2].equals(boardData[2][0])) return true;\\n // no winner yet\\n return false;\\n }\",\n \"public boolean determineWinner(){\\n // search top down\\n for(int x = 0; x < SIZE; x++){\\n if(!stacks[x][0].isEmpty()){\\n Point startingPoint = new Point(x, 0);\\n ArrayList<Point> visited = new ArrayList<>();\\n visited.add(startingPoint);\\n TakTree<TakPiece> tree = new TakTree<>();\\n tree.addRoot(getTop(startingPoint));\\n treeBuilder(tree, startingPoint, visited);\\n }\\n\\n if(whiteWins && blackWins){ // Only exit if we have found that both win\\n return true;\\n }\\n }\\n\\n for(int y = 1; y < SIZE; y++){\\n if(!stacks[0][y].isEmpty()){\\n Point startingPoint = new Point(0, y);\\n ArrayList<Point> visited = new ArrayList<>();\\n visited.add(startingPoint);\\n TakTree<TakPiece> tree = new TakTree<>();\\n tree.addRoot(getTop(startingPoint));\\n treeBuilder(tree, startingPoint, visited);\\n }\\n\\n if(whiteWins && blackWins){ // Only exit if we have found that both win\\n return true;\\n }\\n }\\n\\n // did we find a winner?\\n return whiteWins || blackWins;\\n }\",\n \"public boolean diagonalRight(){\\n\\t\\t\\r\\n\\t\\tfor (int j = 1; j < Board.length-1; j++){\\r\\n\\t\\t\\t\\tint k = j-1;\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif (Board[j][k].charAt(2) != Board[j+1][k+1].charAt(2))\\r\\n\\t\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\telse if (Board[j][k].charAt(2) == '_')\\r\\n\\t\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\tif ((j == Board.length-2) && (k == Board.length-3)){\\r\\n\\t\\t\\t\\t\\tthis.winner = Board[j][k].charAt(2);\\r\\n\\t\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t}\\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"public boolean checkDiagonal() {\\n\\t\\t// conditions fo player X\\n\\t\\tif ((bt[0].getText().equals(\\\"X\\\") && bt[4].getText().equals(\\\"X\\\") && bt[8].getText().equals(\\\"X\\\"))\\n\\t\\t\\t\\t|| (bt[2].getText().equals(\\\"X\\\") && bt[4].getText().equals(\\\"X\\\") && bt[6].getText().equals(\\\"X\\\"))) {\\n\\t\\t\\tjtf.setText(\\\" PLAYER X WON!\\\");\\n\\t\\t\\tjtf.setForeground(Color.red);\\n\\t\\t\\tjtf.setFont(new Font(\\\"Arial Black\\\", Font.BOLD, 50));\\n\\t\\t\\tfor (i = 0; i < xo.length; i++) {\\n\\t\\t\\t\\tbt[i].setEnabled(false);\\n\\t\\t\\t}\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\t// conditions fo player O\\n\\t\\tif ((bt[0].getText().equals(\\\"O\\\") && bt[4].getText().equals(\\\"O\\\") && bt[8].getText().equals(\\\"O\\\"))\\n\\t\\t\\t\\t|| (bt[2].getText().equals(\\\"O\\\") && bt[4].getText().equals(\\\"O\\\") && bt[6].getText().equals(\\\"O\\\"))) {\\n\\t\\t\\tjtf.setText(\\\" PLAYER O WON!\\\");\\n\\t\\t\\tjtf.setForeground(Color.blue);\\n\\t\\t\\tjtf.setFont(new Font(\\\"Arial Black\\\", Font.BOLD, 50));\\n\\t\\t\\tfor (i = 0; i < xo.length; i++) {\\n\\t\\t\\t\\tbt[i].setEnabled(false);\\n\\t\\t\\t}\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\n\\t\\treturn false;\\n\\t}\",\n \"public void MovesRemainingExists() {\\n InsideMovesRemainingExists = 1;\\n NoMovesRemaining = 1;\\n Beginning:\\n for (int i = 0; i < 9; i++) {\\n for (int j = 0; j < 9; j++) {\\n previousX = i;\\n previousY = j + 1;\\n if ((i + 1) < 9) {\\n ValidSwitch(i + 1, j + 1);\\n if (NoMovesRemaining == 0) { //checks the candies to the right\\n ResetState();\\n break Beginning; //breaks the loop\\n }\\n }\\n\\n if ((i - 1) >= 0) {\\n ValidSwitch(i - 1, j + 1);\\n if (NoMovesRemaining == 0) { //checks the candies to the left\\n ResetState();\\n break Beginning;\\n }\\n }\\n\\n if ((j + 1) < 9) {\\n ValidSwitch(i, j + 2);\\n if (NoMovesRemaining == 0) { //checks the candies on the bottom\\n ResetState();\\n break Beginning;\\n }\\n }\\n\\n if ((j - 1) >= 0) {\\n ValidSwitch(i, j);\\n if (NoMovesRemaining == 0) { //checks the candies at the top\\n ResetState();\\n break Beginning;\\n }\\n }\\n }\\n\\n }\\n InsideMovesRemainingExists = 0;\\n\\n}\",\n \"boolean verticalWin(){\\n\\t\\tint match_counter=1;\\n\\t\\tboolean flag=false;\\n\\t\\tfor(int column=0;column<25;column++){\\n\\t\\t\\tfor(int row=8;row>=0;row--){\\n\\t\\t\\t\\tif(Board[row][column]!='\\\\u0000'){\\n\\t\\t\\t\\t\\tif(Board[row][column]!='O'){\\n\\t\\t\\t\\t\\t\\tif(Board[row][column]==Board[row+1][column])\\n\\t\\t\\t\\t\\t\\t\\tmatch_counter++;\\n\\t\\t\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\t\\t\\tflag=false;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tif(match_counter==4){\\n\\t\\t\\t\\t\\tflag=true;\\n\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tif (flag == true)\\n\\t\\t\\t\\tbreak;\\n\\t\\t}\\n\\t\\treturn flag;\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.76808673","0.7676943","0.75713795","0.75407284","0.7531781","0.752648","0.74821734","0.74299294","0.74128234","0.7391343","0.7368067","0.7356322","0.7342707","0.72748566","0.7274512","0.7236196","0.7233697","0.7211992","0.7188406","0.7187419","0.71790373","0.7166945","0.7162867","0.714872","0.7124437","0.7123397","0.7075472","0.70509183","0.7037801","0.70107216","0.7000183","0.6980635","0.6978916","0.6956818","0.6910259","0.6905937","0.68876","0.688547","0.68806267","0.68547946","0.6821801","0.6820796","0.68105227","0.6805286","0.6800894","0.6799838","0.67979366","0.67965555","0.67814666","0.67801726","0.6775403","0.67577106","0.6740211","0.6731419","0.67170644","0.67124116","0.66992927","0.66793704","0.667475","0.66716605","0.6649625","0.66415095","0.66253114","0.66231173","0.661097","0.66079664","0.6607602","0.65965647","0.65960824","0.65943074","0.6592116","0.6585091","0.65812844","0.6577743","0.6575726","0.65685344","0.65603983","0.6560123","0.65504956","0.65481365","0.65292275","0.6512413","0.6508148","0.6488863","0.64861596","0.6477468","0.64673823","0.64668256","0.6465432","0.64640063","0.64626247","0.6457779","0.6454739","0.6453716","0.645266","0.64511967","0.6446668","0.64420336","0.64319843","0.6426418"],"string":"[\n \"0.76808673\",\n \"0.7676943\",\n \"0.75713795\",\n \"0.75407284\",\n \"0.7531781\",\n \"0.752648\",\n \"0.74821734\",\n \"0.74299294\",\n \"0.74128234\",\n \"0.7391343\",\n \"0.7368067\",\n \"0.7356322\",\n \"0.7342707\",\n \"0.72748566\",\n \"0.7274512\",\n \"0.7236196\",\n \"0.7233697\",\n \"0.7211992\",\n \"0.7188406\",\n \"0.7187419\",\n \"0.71790373\",\n \"0.7166945\",\n \"0.7162867\",\n \"0.714872\",\n \"0.7124437\",\n \"0.7123397\",\n \"0.7075472\",\n \"0.70509183\",\n \"0.7037801\",\n \"0.70107216\",\n \"0.7000183\",\n \"0.6980635\",\n \"0.6978916\",\n \"0.6956818\",\n \"0.6910259\",\n \"0.6905937\",\n \"0.68876\",\n \"0.688547\",\n \"0.68806267\",\n \"0.68547946\",\n \"0.6821801\",\n \"0.6820796\",\n \"0.68105227\",\n \"0.6805286\",\n \"0.6800894\",\n \"0.6799838\",\n \"0.67979366\",\n \"0.67965555\",\n \"0.67814666\",\n \"0.67801726\",\n \"0.6775403\",\n \"0.67577106\",\n \"0.6740211\",\n \"0.6731419\",\n \"0.67170644\",\n \"0.67124116\",\n \"0.66992927\",\n \"0.66793704\",\n \"0.667475\",\n \"0.66716605\",\n \"0.6649625\",\n \"0.66415095\",\n \"0.66253114\",\n \"0.66231173\",\n \"0.661097\",\n \"0.66079664\",\n \"0.6607602\",\n \"0.65965647\",\n \"0.65960824\",\n \"0.65943074\",\n \"0.6592116\",\n \"0.6585091\",\n \"0.65812844\",\n \"0.6577743\",\n \"0.6575726\",\n \"0.65685344\",\n \"0.65603983\",\n \"0.6560123\",\n \"0.65504956\",\n \"0.65481365\",\n \"0.65292275\",\n \"0.6512413\",\n \"0.6508148\",\n \"0.6488863\",\n \"0.64861596\",\n \"0.6477468\",\n \"0.64673823\",\n \"0.64668256\",\n \"0.6465432\",\n \"0.64640063\",\n \"0.64626247\",\n \"0.6457779\",\n \"0.6454739\",\n \"0.6453716\",\n \"0.645266\",\n \"0.64511967\",\n \"0.6446668\",\n \"0.64420336\",\n \"0.64319843\",\n \"0.6426418\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.8556861"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":19772,"cells":{"query":{"kind":"string","value":"/This method only returns one integer, referring to one column a \"chip will be dropped into\". It first sees to if it can win anywhere (verticals, all horizontals, all diagnonals, and all sub subdiagonals). If if can't win anywhere, it will then see if the user is one move away from winning by checking for all verticals, all horizontals, all diagnonals, and all sub subdiagonals, and will block it. It also of course makes sure that when blocking that there is nothing below the space for where it would have to have the chip. Since it would be too easy to beat the computer by simply putting 3 red chips in a row with nothing on either side, the computer checks for that and will block (RR) on the left. Since a smart real player would attempt to set itself up for a win if it couldn't win or block on a given turn, if the computer has no other moves it will try and itself up for a vertical or horizontal win by connecting 3. If and only if none of this is possible, the computer will then generate a random number. only checks for columns"},"document":{"kind":"string","value":"public int AI(){\n for(int i=0; i<3; i++){\n for(int j=0; j<7; j++){\n if(board[i][j]==0 && board[i+1][j]==2 && board[i+2][j]==2 && board[i+3][j]==2){\n return j;\n \n }\n }\n }\n //checks for horizontals (Y-YY)\n for(int i=0; i<6; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==2 && board[i][j+1]==0 && board[i][j+2]==2 && board[i][j+3]==2){\n if((i==5)||\n (i==4&&board[5][j+1]!=0) ||\n (i==3&&board[5][j+1]!=0&&board[4][j+1]!=0) ||\n (i==2&&board[5][j+1]!=0&&board[4][j+1]!=0&&board[3][j+1]!=0) ||\n (i==1&&board[5][j+1]!=0&&board[4][j+1]!=0&&board[3][j+1]!=0&&board[2][j+1]!=0) ||\n (i==0&&board[5][j+1]!=0&&board[4][j+1]!=0&&board[3][j+1]!=0&&board[2][j+1]!=0&&board[1][j+1]!=0) ||\n (i==0&&board[5][j+1]!=0&&board[4][j+1]!=0&&board[3][j+1]!=0&&board[2][j+1]!=0&&board[1][j+1]!=0&&board[0][j+1]!=0)){\n return j+1;\n }\n }\n }\n }\n //checks for horizontals (YY-Y)\n for(int i=0; i<6; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==2 && board[i][j+1]==2 && board[i][j+2]==0 && board[i][j+3]==2){\n if((i==5)||\n (i==4&&board[5][j+2]!=0) ||\n (i==3&&board[5][j+2]!=0&&board[4][j+2]!=0) ||\n (i==2&&board[5][j+2]!=0&&board[4][j+2]!=0&&board[3][j+2]!=0) ||\n (i==1&&board[5][j+2]!=0&&board[4][j+2]!=0&&board[3][j+2]!=0&&board[2][j+2]!=0) ||\n (i==0&&board[5][j+2]!=0&&board[4][j+2]!=0&&board[3][j+2]!=0&&board[2][j+2]!=0&&board[1][j+2]!=0) ||\n (i==0&&board[5][j+2]!=0&&board[4][j+2]!=0&&board[3][j+2]!=0&&board[2][j+2]!=0&&board[1][j+2]!=0&&board[0][j+2]!=0)){\n return j+2;\n }\n }\n }\n }\n //checks for horizontals (-YYY)\n for(int i=0; i<6; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==0 && board[i][j+1]==2 && board[i][j+2]==2 && board[i][j+3]==2){\n if((i==5)||\n (i==4&&board[5][j]!=0) ||\n (i==3&&board[5][j]!=0&&board[4][j]!=0) ||\n (i==2&&board[5][j]!=0&&board[4][j]!=0&&board[3][j]!=0) ||\n (i==1&&board[5][j]!=0&&board[4][j]!=0&&board[3][j]!=0&&board[2][j]!=0) ||\n (i==0&&board[5][j]!=0&&board[4][j]!=0&&board[3][j]!=0&&board[2][j]!=0&&board[1][j]!=0) ||\n (i==0&&board[5][j]!=0&&board[4][j]!=0&&board[3][j]!=0&&board[2][j]!=0&&board[1][j]!=0&&board[0][j]!=0)){\n return j;\n }\n }\n }\n }\n //checks for horizontals (YYY-)\n for(int i=0; i<6; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==2 && board[i][j+1]==2 && board[i][j+2]==2 && board[i][j+3]==0){\n if((i==5)||\n (i==4&&board[5][j+3]!=0) ||\n (i==3&&board[5][j+3]!=0&&board[4][j+3]!=0) ||\n (i==2&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0) ||\n (i==1&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0) ||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0) ||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0&&board[0][j+3]!=0)){\n return j+3;\n }\n }\n }\n }\n //checks for diagonal (-YYY)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i+3][j]==0 && board[i+2][j+1]==2 && board[i+1][j+2]==2 && board[i][j+3]==2){\n if((i+3==5)||\n (i+2==4&&board[5][j]!=0)||\n (i+1==3&&board[5][j]!=0&&board[4][j]!=0)||\n (i==2&&board[5][j]!=0&&board[4][j]!=0&&board[3][j]!=0)||\n (i==1&&board[5][j]!=0&&board[4][j]!=0&&board[3][j]!=0&&board[2][j]!=0)||\n (i==0&&board[5][j]!=0&&board[4][j]!=0&&board[3][j]!=0&&board[2][j]!=0&&board[1][j]!=0)){\n return j;\n }\n }\n }\n }\n //checks for diagonal (Y-YY)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i+3][j]==2 && board[i+2][j+1]==0 && board[i+1][j+2]==2 && board[i][j+3]==2){\n if((i==2&&board[5][j+1]!=0)||\n (i==1&&board[5][j+1]!=0&&board[4][j+1]!=0)||\n (i==0&&board[5][j+1]!=0&&board[4][j+1]!=0&&board[3][j+1]!=0)){\n return j+1;\n }\n }\n }\n }\n //checks for diagonal (YY-Y)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i+3][j]==2 && board[i+2][j+1]==2 && board[i+1][j+2]==0 && board[i][j+3]==2){\n if((i==2&&board[5][j+2]!=0&&board[4][j+2]!=0)||\n (i==1&&board[5][j+2]!=0&&board[4][j+2]!=0&&board[3][j+2]!=0)||\n (i==0&&board[5][j+2]!=0&&board[4][j+2]!=0&&board[3][j+2]!=0&&board[2][j+2]!=0)){\n return j+2;\n }\n }\n }\n }\n //checks for diagonal (YYY-)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i+3][j]==2 && board[i+2][j+1]==2 && board[i+1][j+2]==2 && board[i][j+3]==0){\n if((i==2&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0)||\n (i==1&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0)||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0)){\n return j+3;\n }\n }\n }\n }\n //checks for subdiagonal (-YYY)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==0 && board[i+1][j+1]==2 && board[i+2][j+2]==2 && board[i+3][j+3]==2){\n if((i==0&&board[1][j]!=0)||\n (i==1&&board[2][j]!=0)||\n (i==2&&board[3][j]!=0)){\n return j;\n }\n }\n }\n }\n //checks for subdiagonal (Y-YY)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==2 && board[i+1][j+1]==0 && board[i+2][j+2]==2 && board[i+3][j+3]==2){\n if((i==0&&board[2][j+1]!=0)||\n (i==1&&board[3][j+1]!=0)||\n (i==2&&board[4][j+1]!=0)){\n return j+1;\n }\n }\n }\n }\n //checks for subdiagonal (YY-Y)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==2 && board[i+1][j+1]==2 && board[i+2][j+2]==0 && board[i+3][j+3]==2){\n if((i==0&&board[3][j+2]!=0)||\n (i==1&&board[4][j+2]!=0)||\n (i==2&&board[5][j+2]!=0)){\n return j+2;\n }\n }\n }\n }\n //checks for subdiagonal (YYY-)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==2 && board[i+1][j+1]==2 && board[i+2][j+2]==2 && board[i+3][j+3]==0){\n if((i==0&&board[4][j+3]!=0)||\n (i==1&&board[5][j+3]!=0)||\n (i==2)){\n return j+3;\n }\n }\n }\n }\n //BLOCK CHECKER\n //columns\n for(int i=0; i<3; i++){\n for(int j=0; j<7; j++){\n if(board[i][j]==0 && board[i+1][j]==1 && board[i+2][j]==1 && board[i+3][j]==1){\n return j; \n }\n }\n }\n //Checks for blocks horizontal (R-RR)\n for(int i=0; i<6; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==1 && board[i][j+1]==0 && board[i][j+2]==1 && board[i][j+3]==1){\n if((i==5)||\n (i==4&&board[5][j+1]!=0) ||\n (i==3&&board[5][j+1]!=0&&board[4][j+1]!=0) ||\n (i==2&&board[5][j+1]!=0&&board[4][j+1]!=0&&board[3][j+1]!=0) ||\n (i==1&&board[5][j+1]!=0&&board[4][j+1]!=0&&board[3][j+1]!=0&&board[2][j+1]!=0) ||\n (i==0&&board[5][j+1]!=0&&board[4][j+1]!=0&&board[3][j+1]!=0&&board[2][j+1]!=0&&board[1][j+1]!=0) ||\n (i==0&&board[5][j+1]!=0&&board[4][j+1]!=0&&board[3][j+1]!=0&&board[2][j+1]!=0&&board[1][j+1]!=0&&board[0][j+1]!=0)){\n return j+1;\n }\n }\n }\n }\n //checks for horizontal blocks (RR-R)\n for(int i=0; i<6; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==1 && board[i][j+1]==1 && board[i][j+2]==0 && board[i][j+3]==1){\n if((i==5)||\n (i==4&&board[5][j+2]!=0) ||\n (i==3&&board[5][j+2]!=0&&board[4][j+2]!=0) ||\n (i==2&&board[5][j+2]!=0&&board[4][j+2]!=0&&board[3][j+2]!=0) ||\n (i==1&&board[5][j+2]!=0&&board[4][j+2]!=0&&board[3][j+2]!=0&&board[2][j+2]!=0) ||\n (i==0&&board[5][j+2]!=0&&board[4][j+2]!=0&&board[3][j+2]!=0&&board[2][j+2]!=0&&board[1][j+2]!=0) ||\n (i==0&&board[5][j+2]!=0&&board[4][j+2]!=0&&board[3][j+2]!=0&&board[2][j+2]!=0&&board[1][j+2]!=0&&board[0][j+2]!=0)){\n return j+2;\n }\n }\n }\n }\n \n //checks for horizontals (-RRR)\n for(int i=0; i<6; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==0 && board[i][j+1]==1 && board[i][j+2]==1 && board[i][j+3]==1){\n if((i==5)||\n (i==4&&board[5][j]!=0) ||\n (i==3&&board[5][j]!=0&&board[4][j]!=0) ||\n (i==2&&board[5][j]!=0&&board[4][j]!=0&&board[3][j]!=0) ||\n (i==1&&board[5][j]!=0&&board[4][j]!=0&&board[3][j]!=0&&board[2][j]!=0) ||\n (i==0&&board[5][j]!=0&&board[4][j]!=0&&board[3][j]!=0&&board[2][j]!=0&&board[1][j]!=0) ||\n (i==0&&board[5][j]!=0&&board[4][j]!=0&&board[3][j]!=0&&board[2][j]!=0&&board[1][j]!=0&&board[0][j]!=0)){\n return j;\n }\n }\n }\n }\n //checks for horizontals (RRR-)\n for(int i=0; i<6; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==1 && board[i][j+1]==1 && board[i][j+2]==1 && board[i][j+3]==0){\n if((i==5)||\n (i==4&&board[5][j+3]!=0) ||\n (i==3&&board[5][j+3]!=0&&board[4][j+3]!=0) ||\n (i==2&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0) ||\n (i==1&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0) ||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0) ||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0&&board[0][j+3]!=0)){\n return j+3;\n }\n }\n }\n }\n //checks for diagonal (-RRR)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i+3][j]==0 && board[i+2][j+1]==1 && board[i+1][j+2]==1 && board[i][j+3]==1){\n if((i+3==5)||\n (i+2==4&&board[i+3][j]!=0)||\n (i+1==3&&board[i+3][j]!=0&&board[i+2][j]!=0)||\n (i==2&&board[i+3][j]!=0&&board[i+2][j]!=0&&board[i+1][j]!=0)||\n (i==1&&board[i+3][j]!=0&&board[i+2][j]!=0&&board[i+1][j]!=0&&board[i][j]!=0)||\n (i==0&&board[i+3][j]!=0&&board[i+2][j]!=0&&board[i+1][j]!=0&&board[i][j]!=0&&board[i-1][j]!=0)){\n return j;\n }\n }\n }\n }\n //checks for diagonal (R-RR)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i+3][j]==1 && board[i+2][j+1]==0 && board[i+1][j+2]==1 && board[i][j+3]==1){\n if((i+2==4&&board[i+3][j+1]!=0)||\n (i+1==3&&board[i+3][j+1]!=0&&board[i+2][j+1]!=0)||\n (i==2&&board[i+3][j+1]!=0&&board[i+2][j+1]!=0&&board[i+1][j+1]!=0)||\n (i==1&&board[i+3][j+1]!=0&&board[i+2][j+1]!=0&&board[i+1][j+1]!=0&&board[i][j+1]!=0)||\n (i==0&&board[i+3][j+1]!=0&&board[i+2][j+1]!=0&&board[i+1][j+1]!=0&&board[i][j+1]!=0&&board[i-1][j+1]!=0)){\n return j+1;\n }\n }\n }\n }\n //checks for diagonal (RR-R)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i+3][j]==1 && board[i+2][j+1]==1 && board[i+1][j+2]==0 && board[i][j+3]==1){\n if((i==2&&board[i+2][j+2]!=0)){//||\n return j+2;\n }\n }\n }\n }\n //checks for diagonal (RRR-)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i+3][j]==1 && board[i+2][j+1]==1 && board[i+1][j+2]==1 && board[i][j+3]==0){\n if((i==0&&board[1][j+3]!=0)||\n (i==1&&board[2][j+3]!=0)||\n (i==2&&board[3][j+3]!=0)){\n return j+3;\n }\n }\n }\n }\n //checks for subdiagonal blocks(-RRR)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==0 && board[i+1][j+1]==1 && board[i+2][j+2]==1 && board[i+3][j+3]==1){\n if((i==0&&board[1][j]!=0)||\n (i==1&&board[2][j]!=0)||\n (i==2&&board[3][j]!=0)){\n return j;\n }\n }\n }\n }\n //checks for subdiagonal blocks(Y-YY)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==1 && board[i+1][j+1]==0 && board[i+2][j+2]==1 && board[i+3][j+3]==1){\n if((i==0&&board[2][j+1]!=0)||\n (i==1&&board[3][j+1]!=0)||\n (i==2&&board[4][j+1]!=0)){\n return j+1;\n }\n }\n }\n }\n //checks for subdiagonal blocks(YY-Y)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==1 && board[i+1][j+1]==1 && board[i+2][j+2]==0 && board[i+3][j+3]==1){\n if((i==0&&board[3][j+2]!=0)||\n (i==1&&board[4][j+2]!=0)||\n (i==2&&board[5][j+2]!=0)){\n return j+2;\n }\n }\n }\n }\n //checks for subdiagonal blocks(YYY-)\n for(int i=0; i<3; i++){\n for(int j=0; j<4; j++){\n if(board[i][j]==1 && board[i+1][j+1]==1 && board[i+2][j+2]==1 && board[i+3][j+3]==0){\n if((i==0&&board[4][j+3]!=0)||\n (i==1&&board[5][j+3]!=0)||\n (i==2)){\n return j+3;\n }\n }\n }\n }\n //INTERMEDIATE BLOCKING\n //If horizontal (RR--) make it (RRY-)\n for(int i=0; i<6; i++){\n for(int j=0; j<3; j++){\n if(board[i][j]==1 && board[i][j+1]==1 && board[i][j+2]==0){\n if((i==5)||\n (i==4&&board[5][j+3]!=0) ||\n (i==3&&board[5][j+3]!=0&&board[4][j+3]!=0) ||\n (i==2&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0) ||\n (i==1&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0) ||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0) ||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0&&board[0][j+3]!=0)){\n return j+2;\n }\n }\n }\n }\n //If horizontal (--RR) make it (-YRR)\n for(int i=0; i<6; i++){\n for(int j=0; j<3; j++){\n if(board[i][j+1]==0 && board[i][j+2]==1 && board[i][j+3]==1){\n if((i==5)||\n (i==4&&board[5][j+3]!=0) ||\n (i==3&&board[5][j+3]!=0&&board[4][j+3]!=0) ||\n (i==2&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0) ||\n (i==1&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0) ||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0) ||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0&&board[0][j+3]!=0)){\n return j+1;\n }\n }\n }\n }\n //The following attempts to set the computer up for a win, instead of first just generating a random number\n for(int i=0; i<3; i++){\n for(int j=0; j<7; j++){\n if(board[i+1][j]==0 && board[i+2][j]==2 && board[i+3][j]==2){\n return j;\n \n }\n }\n }\n //If horizontal (-YY-) make it (-YYY)\n for(int i=0; i<6; i++){\n for(int j=0; j<3; j++){\n if(board[i][j]==0 && board[i][j+1]==2 && board[i][j+2]==2 && board[i][j+3]==0){\n if((i==5)||\n (i==4&&board[5][j+3]!=0) ||\n (i==3&&board[5][j+3]!=0&&board[4][j+3]!=0) ||\n (i==2&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0) ||\n (i==1&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0) ||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0) ||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0&&board[0][j+3]!=0)){\n return j+3;\n }\n }\n }\n }\n //If horizontal (YY--) make it (YYY-)\n for(int i=0; i<6; i++){\n for(int j=0; j<3; j++){\n if(board[i][j]==2 && board[i][j+1]==2 && board[i][j+2]==0 && board[i][j+3]==0){\n if((i==5)||\n (i==4&&board[5][j+3]!=0) ||\n (i==3&&board[5][j+3]!=0&&board[4][j+3]!=0) ||\n (i==2&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0) ||\n (i==1&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0) ||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0) ||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0&&board[0][j+3]!=0)){\n return j+2;\n }\n }\n }\n }\n //If horizontal (--YY) make it (-YYY)\n for(int i=0; i<6; i++){\n for(int j=0; j<3; j++){\n if(board[i][j]==0 && board[i][j+1]==0 && board[i][j+2]==2 && board[i][j+3]==2){\n if((i==5)||\n (i==4&&board[5][j+3]!=0) ||\n (i==3&&board[5][j+3]!=0&&board[4][j+3]!=0) ||\n (i==2&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0) ||\n (i==1&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0) ||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0) ||\n (i==0&&board[5][j+3]!=0&&board[4][j+3]!=0&&board[3][j+3]!=0&&board[2][j+3]!=0&&board[1][j+3]!=0&&board[0][j+3]!=0)){\n return j+1;\n }\n }\n }\n }\n boolean sent = false;\n //The following code will simply generate a random number.\n int x = (int)((Math.random())*7);\n if(!wonYet){ \n while(!sent){\n if(board[0][x]!=0)\n x = (int)((Math.random())*7);\n else if(board[1][x]!=0)\n x = (int)((Math.random())*7);\n else if(board[2][x]!=0)\n x = (int)((Math.random())*7);\n else if(board[3][x]!=0)\n x = (int)((Math.random())*7);\n else if(board[4][x]!=0)\n x = (int)((Math.random())*7);\n else if(board[5][x]!=0)\n x = (int)((Math.random())*7);\n sent = true;\n } \n return x;\n }\n return -1; \n }"},"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 int checkWinner() {\n if (this.turnCount >= 2) {\n int colWin = this.checkColumn();\n if (colWin > 0) {\n return colWin;\n }\n\n int rowWin = this.checkRow();\n if (rowWin > 0) {\n return rowWin;\n }\n\n int diagWin = checkDiagonal();\n if (diagWin > 0) {\n return diagWin;\n }\n }\n return 0;\n }","public Player checkWin ()\n {\n //checks rows\n for (int row = 0; row < 3; row++)\n if (getGridElement(row, 0).getPlayer() == getGridElement(row, 1).getPlayer() &&\n getGridElement(row, 1).getPlayer() == getGridElement(row, 2).getPlayer() &&\n getGridElement(row, 0).getPlayer() != Player.NONE)\n return getGridElement(row, 0).getPlayer();\n\n //checks columns\n for (int column = 0; column < 3; column++)\n if (getGridElement(0, column).getPlayer() == getGridElement(1, column).getPlayer() &&\n getGridElement(1, column).getPlayer() == getGridElement(2, column).getPlayer() &&\n getGridElement(0, column).getPlayer() != Player.NONE)\n return getGridElement(0, column).getPlayer();\n\n //checks diagonals\n if (getGridElement(0, 0).getPlayer() == getGridElement(1, 1).getPlayer() &&\n getGridElement(1, 1).getPlayer() == getGridElement(2, 2).getPlayer() &&\n getGridElement(0, 0).getPlayer() != Player.NONE)\n return getGridElement(0, 0).getPlayer();\n if (getGridElement(2, 0).getPlayer() == getGridElement(1, 1).getPlayer() &&\n getGridElement(1, 1).getPlayer() == getGridElement(0, 2).getPlayer() &&\n getGridElement(0, 0).getPlayer() != Player.NONE)\n return getGridElement(2, 0).getPlayer();\n\n return Player.NONE;\n }","private int[] nextColWin(){ \r\n\t\tfor (int r=0; r<3; r++){ \r\n\t\t\tif (board[0][r] == board[1][r] && board[2][r] == '-' && board[0][r] != '-'){\r\n\t\t\t\tcolWin[0] = 2;\r\n\t\t\t\tcolWin[1] = r;\r\n\t\t\t\treturn colWin;\r\n\t\t\t}\r\n\t\t\telse if (board[1][r] == board[2][r] && board[0][r] == '-' && board[0][r] != '-'){\r\n\t\t\t\tcolWin[0] = 0;\r\n\t\t\t\tcolWin[1] = r;\r\n\t\t\t\treturn colWin;\r\n\t\t\t}\r\n\t\t\telse if (board[0][r] == board[2][r] && board[1][r] == '-' && board[0][r] != '-'){\r\n\t\t\t\tcolWin[0] = 1;\r\n\t\t\t\tcolWin[1] = r;\r\n\t\t\t\treturn colWin;\r\n\t\t\t}\r\n\t\t}\r\n\t\treturn colWin;\r\n\t\t\r\n\t}","public int checkForWin() \r\n {\r\n \twinner = null;\r\n \tint winrole = -1;\r\n \tif(isBoardFull()){\r\n \t\tint white = 0;\r\n \t\tint black = 0;\r\n\t\t\tfor(int i = 0; i < boardsize; ++i){\r\n\t\t\t\tfor(int j = 0; j<boardsize; ++j){\r\n\t\t\t\t\tif(board[i][j] == 0){\r\n\t\t\t\t\t\twhite++;\r\n\t\t\t\t\t}\r\n\t\t\t\t\telse if(board[i][j] == 1){\r\n\t\t\t\t\t\tblack++;\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tif(white > black){\r\n\t\t\t\twinrole = 0;\r\n\t\t\t\twinner = agent[winrole];\r\n\t\t\t}\t\r\n\t\t\telse if(black > white){\r\n\t\t\t\twinrole = 1;\r\n\t\t\t\twinner = agent[winrole];\r\n\t\t\t}\r\n\t\t\telse{\r\n\t\t\t\twinrole=2;\r\n\t\t\t}\r\n\t\t\treturn winrole;\r\n \t}\r\n \treturn -1;\r\n }","@Override\n public int getWinner() {\n /*\n * To please the test as well as the game\n * Temporarily change the turn colour\n */\n int temp;\n if (whoseTurn() == RED) {\n temp = YELLOW;\n } else {\n temp = RED;\n }\n\n //test horizontally\n //set x to 1 as the placed counter will always be correct\n int x = 1;\n int i = 1;\n //to check if zero has been found\n boolean leftZeroFound = false;\n boolean rightZeroFound = false;\n while (!rightZeroFound || !leftZeroFound) {\n //check to right of last placed\n if (!rightZeroFound && inBounds(0, i)\n && board[lastPlacedRow][lastPlacedCol + i] == temp) {\n x++;\n } else {\n rightZeroFound = true;\n }\n\n //check to left of last placed\n if (!leftZeroFound && inBounds(0, -i)\n && board[lastPlacedRow][lastPlacedCol - i] == temp) {\n x++;\n } else {\n leftZeroFound = true;\n }\n\n i++;\n }\n //return the winning colour if a row has been found\n if (x >= NUM_IN_A_ROW_TO_WIN) {\n return temp;\n }\n\n //check vertically\n //reset x to 1 as the placed counter will always be correct\n x = 1;\n i = 1;\n //to check if zero has been found\n boolean zeroFound = false;\n while (!zeroFound) {\n //check below last placed\n if (inBounds(-i, 0) && board[lastPlacedRow - i][lastPlacedCol] == temp) {\n x++;\n } else {\n zeroFound = true;\n }\n\n i++;\n }\n //return the winning colour if a row has been found\n if (x >= NUM_IN_A_ROW_TO_WIN) {\n return temp;\n }\n\n //check top right diagonal\n //reset x to 1 as the placed counter will always be correct\n x = 1;\n i = 1;\n //to check if zero has been found\n leftZeroFound = false;\n rightZeroFound = false;\n while (!rightZeroFound || !leftZeroFound) {\n //check top right diagonal\n if (!rightZeroFound && inBounds(i, i)\n && board[lastPlacedRow + i][lastPlacedCol + i] == temp) {\n x++;\n } else {\n rightZeroFound = true;\n }\n\n //check bottom left\n if (!leftZeroFound && inBounds(-i, -i)\n && board[lastPlacedRow - i][lastPlacedCol - i] == temp) {\n x++;\n } else {\n leftZeroFound = true;\n }\n\n i++;\n }\n if (x >= NUM_IN_A_ROW_TO_WIN) {\n return temp;\n }\n\n //check top left\n //set x to 1 as the placed counter will always be correct\n x = 1;\n i = 1;\n //to check if zero has been found\n leftZeroFound = false;\n rightZeroFound = false;\n while (!rightZeroFound || !leftZeroFound) {\n //check top left\n if (!leftZeroFound && inBounds(i, -i)\n && board[lastPlacedRow + i][lastPlacedCol - i] == temp) {\n x++;\n } else {\n leftZeroFound = true;\n }\n\n //check bottom right\n if (!rightZeroFound && inBounds(-i, i)\n && board[lastPlacedRow - i][lastPlacedCol + i] == temp) {\n x++;\n } else {\n rightZeroFound = true;\n }\n\n i++;\n }\n //return the winning colour if a row has been found\n if (x >= NUM_IN_A_ROW_TO_WIN) {\n return temp;\n }\n\n //return Empty if a winner has not been found\n return EMPTY;\n }","private boolean colWin(){ \r\n\t\tfor (int i=0; i<3; i++){ \r\n\t\t\tif (checkValue (board[0][i], board[1][i], board[2][i]))\r\n\t\t\t\treturn true; \r\n\t\t}\r\n\t\treturn false; \r\n\t}","public char findWinner() {\n char[] winners = {\n checkRowVictory(getTopRow()),\n checkRowVictory(getMidRow()),\n checkRowVictory(getLowRow()),\n checkRowVictory(getVerticalMidRow()),\n checkRowVictory(getVerticalLeftRow()),\n checkRowVictory(getVerticalRightRow()),\n checkDiagonalVictory()\n };\n\n for (char winner : winners) {\n if (winner != 0) {\n return winner;\n }\n }\n\n return 0;\n }","public String computerMove() {\n\t\t// Look to win in a row\n\t\tfor (int r = 0; r < 3; r++) {\n\t\t\tif (rowSum[r] == -2) {\n\t\t\t\t// Find the empty space\n\t\t\t\tfor (int c = 0; c < 3; c++) {\n\t\t\t\t\tif (board[r][c] == 0) {\n\t\t\t\t\t\treturn done(r, c);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Look to win in a col\n\t\tfor (int c = 0; c < 3; c++) {\n\t\t\tif (colSum[c] == -2) {\n\t\t\t\t// Find the empty space\n\t\t\t\tfor (int r = 0; r < 3; r++) {\n\t\t\t\t\tif (board[r][c] == 0) {\n\t\t\t\t\t\treturn done(r, c);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Look to win a diag\n\t\tfor (int d = 0; d < 2; d++) {\n\t\t\tif (diagSum[d] == -2) {\n\t\t\t\t// Find the empty space\n\t\t\t\tfor (int r = 0; r < 3; r++) {\n\t\t\t\t\tint c = d == 0 ? r : 2 - r;\n\t\t\t\t\tif (board[r][c] == 0) {\n\t\t\t\t\t\treturn done(r, c);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Look to block a row\n\t\tfor (int r = 0; r < 3; r++) {\n\t\t\tif (rowSum[r] == 2) {\n\t\t\t\t// Find the empty space\n\t\t\t\tfor (int c = 0; c < 3; c++) {\n\t\t\t\t\tif (board[r][c] == 0) {\n\t\t\t\t\t\treturn done(r, c);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Look to block a col\n\t\tfor (int c = 0; c < 3; c++) {\n\t\t\tif (colSum[c] == 2) {\n\t\t\t\t// Find the empty space\n\t\t\t\tfor (int r = 0; r < 3; r++) {\n\t\t\t\t\tif (board[r][c] == 0) {\n\t\t\t\t\t\treturn done(r, c);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Look to block a diag\n\t\tfor (int d = 0; d < 2; d++) {\n\t\t\tif (diagSum[d] == 2) {\n\t\t\t\t// Find the empty space\n\t\t\t\tfor (int r = 0; r < 3; r++) {\n\t\t\t\t\tint c = d == 0 ? r : 2 - r;\n\t\t\t\t\tif (board[r][c] == 0) {\n\t\t\t\t\t\treturn done(r, c);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Find the non-full row and col w/ least val\n\t\tint bestR = -1;\n\t\tint bestC = -1;\n\t\tint minSum = 10;\n\t\tfor (int r = 0; r < 3; r++) {\n\t\t\tfor (int c = 0; c < 3; c++) {\n\t\t\t\tif (board[r][c] == 0) {\n\t\t\t\t\tint sum = rowSum[r] + colSum[c];\n\t\t\t\t\tif (sum < minSum) {\n\t\t\t\t\t\tminSum = sum;\n\t\t\t\t\t\tbestR = r;\n\t\t\t\t\t\tbestC = c;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\treturn done(bestR, bestC);\n\t}","private int[] nextRowWin(){ \r\n\t\tfor (int r=0; r<3; r++){ \r\n\t\t\tif (board[r][0] == board[r][1] && board[r][2] == '-' && board[r][0] != '-') {\r\n\t\t\t\trowWin[0] = r; \r\n\t\t\t\trowWin[1] = 2;\r\n\t\t\t\treturn rowWin; \r\n\t\t\t}\r\n\t\t\telse if (board[r][1] == board[r][2] && board[r][0] == '-' && board[r][1] != '-') {\r\n\t\t\t\trowWin[0] = r;\r\n\t\t\t\trowWin[1] = 0;\r\n\t\t\t\treturn rowWin; \r\n\t\t\t}\r\n\t\t\telse if (board[r][0] == board[r][2] && board[r][1] == '-' && board[r][0] != '-'){\r\n\t\t\t\trowWin[0] = r;\r\n\t\t\t\trowWin[1] = 1;\r\n\t\t\t\treturn rowWin; \r\n\t\t\t}\r\n\t\t}\r\n\t\treturn rowWin;\r\n\t}","public int getComputerMove()\n {\n int move;\n\n // First see if there's a move O can make to win\n for (int i = 0; i < BOARD_SIZE; i++) {\n if (mBoard[i] != HUMAN_PLAYER && mBoard[i] != COMPUTER_PLAYER) {\n char curr = mBoard[i];\n mBoard[i] = COMPUTER_PLAYER;\n if (checkForWinner() == 3) {\n mBoard[i] = curr;\n return i;\n }\n else\n mBoard[i] = curr;\n }\n }\n\n // See if there's a move O can make to block X from winning\n for (int i = 0; i < BOARD_SIZE; i++) {\n if (mBoard[i] != HUMAN_PLAYER && mBoard[i] != COMPUTER_PLAYER) {\n char curr = mBoard[i]; // Save the current number\n mBoard[i] = HUMAN_PLAYER;\n if (checkForWinner() == 2) {\n //mBoard[i] = COMPUTER_PLAYER;\n mBoard[i] = curr;\n return i;\n }\n else\n mBoard[i] = curr;\n }\n }\n\n // Generate random move\n do\n {\n move = mRand.nextInt(BOARD_SIZE);\n } while (mBoard[move] == HUMAN_PLAYER || mBoard[move] == COMPUTER_PLAYER);\n\n return move;\n }","public int checkWin(){\n //check for horizontal and vertical wins\n for(int i=0; i<3; i++){\n if(gameBoard[i][0].equals(\"O\") && gameBoard[i][1].equals(\"O\") && gameBoard[i][2].equals(\"O\")){\n return 1;\n }\n else if(gameBoard[i][0].equals(\"X\") && gameBoard[i][1].equals(\"X\") && gameBoard[i][2].equals(\"X\")){\n return 2;\n }\n else if(gameBoard[0][i].equals(\"O\") && gameBoard[1][i].equals(\"O\") && gameBoard[2][i].equals(\"O\")){\n return 1;\n }\n else if(gameBoard[0][i].equals(\"X\") && gameBoard[1][i].equals(\"X\") && gameBoard[2][i].equals(\"X\")){\n return 2;\n }\n }\n //check for both diagonal cases\n if(gameBoard[0][0].equals(\"O\") && gameBoard[1][1].equals(\"O\") && gameBoard[2][2].equals(\"O\")){\n return 1;\n }\n else if(gameBoard[0][2].equals(\"O\") && gameBoard[1][1].equals(\"O\") && gameBoard[2][0].equals(\"O\")){\n return 1;\n }\n else if(gameBoard[0][0].equals(\"X\") && gameBoard[1][1].equals(\"X\") && gameBoard[2][2].equals(\"X\")){\n return 2;\n }\n else if(gameBoard[0][2].equals(\"X\") && gameBoard[1][1].equals(\"X\") && gameBoard[2][0].equals(\"X\")){\n return 2;\n }\n return 0;\n }","public int determineWinner() {\n\t\tif(board[1][1] != 0 && (\n\t\t\t(board[1][1] == board[0][0] && board[1][1] == board[2][2]) ||\n\t\t\t(board[1][1] == board[0][2] && board[1][1] == board[2][0]) ||\n\t\t\t(board[1][1] == board[0][1] && board[1][1] == board[2][1]) ||\n\t\t\t(board[1][1] == board[1][0] && board[1][1] == board[1][2]))){\n\t\t\treturn board[1][1];\n\t\t}\n\t\telse if (board[0][0] != 0 &&(\n\t\t\t(board[0][0] == board[0][1] && board[0][0] == board[0][2]) ||\n\t\t\t(board[0][0] == board[1][0] && board[0][0] == board[2][0]))){\n\t\t\treturn board[0][0];\n\t\t}\n\t\telse if (board [2][2] != 0 && (\n\t\t\t(board[2][2] == board[2][0] && board[2][2] == board[2][1]) ||\n\t\t\t(board[2][2] == board[0][2] && board[2][2] == board[1][2]))) {\n\t\t\treturn board[2][2];\n\t\t}\n\t\t\n\t\t//See if every square has been marked, return still in progress if not\n\t\tfor(int i = 0; i < 3; ++i) {\n\t\t\tfor(int j = 0; j < 3; ++j) {\n\t\t\t\tif (board[i][j] == 0)\n\t\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t\t\n\t\t//Return tie\n\t\treturn 3;\n\t}","public int checkWin() {\n\t\t// Check rows\n\t\tfor (int i = 0; i < 3; i++) {\n\t\t\tif (Math.abs(rowSum[i]) == 3) {\n\t\t\t\tover = true;\n\t\t\t\treturn rowSum[i] / Math.abs(rowSum[i]);\n\t\t\t}\n\t\t}\n\n\t\t// Check cols\n\t\tfor (int i = 0; i < 3; i++) {\n\t\t\tif (Math.abs(colSum[i]) == 3) {\n\t\t\t\tover = true;\n\t\t\t\treturn colSum[i] / Math.abs(colSum[i]);\n\t\t\t}\n\t\t}\n\n\t\t// Check diags\n\t\tfor (int i = 0; i < 2; i++) {\n\t\t\tif (Math.abs(diagSum[i]) == 3) {\n\t\t\t\tover = true;\n\t\t\t\treturn diagSum[i] / Math.abs(diagSum[i]);\n\t\t\t}\n\t\t}\n\n\t\treturn 0;\n\t}","public boolean checkForWin()\n {\n //Horizontal win\n for (int r = 0; r <= 5; r++)\n {\n for (int c = 0; c <= 3; c++)\n {\n if (current_board[c][r] == player_turn &&\n current_board[c+1][r] == player_turn &&\n current_board[c+2][r] == player_turn &&\n current_board[c+3][r] == player_turn)\n return true;\n }\n }\n //Vertical win\n for (int c = 0; c <= 6; c++)\n {\n for (int r = 0; r <= 2; r++)\n {\n if (current_board[c][r] == player_turn &&\n current_board[c][r+1] == player_turn &&\n current_board[c][r+2] == player_turn &&\n current_board[c][r+3] == player_turn)\n return true;\n }\n }\n //Shortest diagonals/anti diagonals (cell length == 4)\n //postive slope\n if (current_board[0][2] == player_turn && current_board[1][3] == player_turn && current_board[2][4] == player_turn && current_board[3][5] == player_turn)\n return true;\n if (current_board[3][0] == player_turn && current_board[4][1] == player_turn && current_board[5][2] == player_turn && current_board[6][3] == player_turn)\n return true;\n //negative slope\n if (current_board[0][3] == player_turn && current_board[1][2] == player_turn && current_board[2][1] == player_turn && current_board[3][0] == player_turn)\n return true;\n if (current_board[3][5] == player_turn && current_board[4][4] == player_turn && current_board[5][3] == player_turn && current_board[6][2] == player_turn)\n return true;\n\n //Medium-length diagonals/anti diagonals (cell length == 5)\n //positive slope\n if (current_board[0][1] == player_turn && current_board[1][2] == player_turn && current_board[2][3] == player_turn && current_board[3][4] == player_turn)\n return true;\n if (current_board[1][2] == player_turn && current_board[2][3] == player_turn && current_board[3][4] == player_turn && current_board[4][5] == player_turn)\n return true;\n if (current_board[2][0] == player_turn && current_board[3][1] == player_turn && current_board[4][2] == player_turn && current_board[5][3] == player_turn)\n return true;\n if (current_board[3][1] == player_turn && current_board[4][2] == player_turn && current_board[5][3] == player_turn && current_board[6][4] == player_turn)\n return true;\n //negative slope\n if (current_board[0][4] == player_turn && current_board[1][3] == player_turn && current_board[2][2] == player_turn && current_board[3][1] == player_turn)\n return true;\n if (current_board[1][3] == player_turn && current_board[2][2] == player_turn && current_board[3][1] == player_turn && current_board[4][0] == player_turn)\n return true;\n if (current_board[2][5] == player_turn && current_board[3][4] == player_turn && current_board[4][3] == player_turn && current_board[5][2] == player_turn)\n return true;\n if (current_board[3][4] == player_turn && current_board[4][3] == player_turn && current_board[5][2] == player_turn && current_board[6][1] == player_turn)\n return true;\n\n //Longest diagonals/anti diagonals (cell length == 6)\n //positive slope\n for (int c=0, r=0; c <= 2 && r <= 2; c++, r++)\n {\n if (current_board[c][r] == player_turn &&\n current_board[c+1][r+1] == player_turn &&\n current_board[c+2][r+2] == player_turn &&\n current_board[c+3][r+3] == player_turn)\n return true;\n }\n for (int c=1, r=0; c <= 3 && r <= 2; c++, r++)\n {\n if (current_board[c][r] == player_turn &&\n current_board[c+1][r+1] == player_turn &&\n current_board[c+2][r+2] == player_turn &&\n current_board[c+3][r+3] == player_turn)\n return true;\n }\n //negative slope\n for (int c=0, r=5; c <= 2 && r >= 3; c++, r--)\n {\n if (current_board[c][r] == player_turn &&\n current_board[c+1][r-1] == player_turn &&\n current_board[c+2][r-2] == player_turn &&\n current_board[c+3][r-3] == player_turn)\n return true;\n }\n for (int c=1, r=5; c <= 3 && r >= 3; c++, r--)\n {\n if (current_board[c][r] == player_turn &&\n current_board[c+1][r-1] == player_turn &&\n current_board[c+2][r-2] == player_turn &&\n current_board[c+3][r-3] == player_turn)\n return true;\n }\n\n return false;\n }","public int checkForWinner() {\n\n // Check horizontal wins\n for (int i = 0; i <= 6; i += 3)\t{\n if (mBoard[i] == HUMAN_PLAYER &&\n mBoard[i+1] == HUMAN_PLAYER &&\n mBoard[i+2]== HUMAN_PLAYER)\n return 2;\n if (mBoard[i] == COMPUTER_PLAYER &&\n mBoard[i+1]== COMPUTER_PLAYER &&\n mBoard[i+2] == COMPUTER_PLAYER)\n return 3;\n }\n\n // Check vertical wins\n for (int i = 0; i <= 2; i++) {\n if (mBoard[i] == HUMAN_PLAYER &&\n mBoard[i+3] == HUMAN_PLAYER &&\n mBoard[i+6]== HUMAN_PLAYER)\n return 2;\n if (mBoard[i] == COMPUTER_PLAYER &&\n mBoard[i+3] == COMPUTER_PLAYER &&\n mBoard[i+6]== COMPUTER_PLAYER)\n return 3;\n }\n\n // Check for diagonal wins\n if ((mBoard[0] == HUMAN_PLAYER &&\n mBoard[4] == HUMAN_PLAYER &&\n mBoard[8] == HUMAN_PLAYER) ||\n (mBoard[2] == HUMAN_PLAYER &&\n mBoard[4] == HUMAN_PLAYER &&\n mBoard[6] == HUMAN_PLAYER))\n return 2;\n if ((mBoard[0] == COMPUTER_PLAYER &&\n mBoard[4] == COMPUTER_PLAYER &&\n mBoard[8] == COMPUTER_PLAYER) ||\n (mBoard[2] == COMPUTER_PLAYER &&\n mBoard[4] == COMPUTER_PLAYER &&\n mBoard[6] == COMPUTER_PLAYER))\n return 3;\n\n // Check for tie\n for (int i = 0; i < BOARD_SIZE; i++) {\n // If we find a number, then no one has won yet\n if (mBoard[i] != HUMAN_PLAYER && mBoard[i] != COMPUTER_PLAYER)\n return 0;\n }\n\n // If we make it through the previous loop, all places are taken, so it's a tie\n return 1;\n }","public int evalBoard(){\n if (wins('o')){\n return 3;\n }\n // Return 0 if human wins\n else if (wins('b')){\n return 0;\n }\n //Return 2 if game is draw\n else if (isDraw()){\n return 2;\n }\n // Game is not a draw and no player has won. Game is still undecided.\n else {\n return 1;\n }\n }","private int checkColumn() {\n for (int i = 0; i < 3; i++) {\n if ((this.board[i][0] == this.board[i][1]) && (this.board[i][0] == this.board[i][2])) {\n return this.board[i][0];\n }\n }\n return 0;\n }","private char isWonButForChars() {\n for (int y = 0; y < wonBoards.length; y++) {\n if (checkRow(y) != ' ') {\n return checkRow(y);\n }\n }\n for (int x = 0; x < wonBoards[0].length; x++) {\n if (checkColumn(x) != ' ') {\n return checkColumn(x);\n }\n }\n if (wonBoards[0][0] == wonBoards[1][1] && wonBoards[1][1] == wonBoards[2][2]) {\n if (wonBoards[0][0] != ' ') {\n return wonBoards[0][0];\n }\n }\n if (wonBoards[2][0] == wonBoards[1][1] && wonBoards[1][1] == wonBoards[0][2]) {\n if (wonBoards[2][0] != ' ') {\n return wonBoards[2][0];\n }\n }\n\n return ' ';\n }","private boolean diagWin(){ \r\n\t\treturn ((checkValue (board[0][0],board[1][1],board[2][2]) == true) || \r\n\t\t\t\t(checkValue (board[0][2], board[1][1], board[2][0]) == true)); \r\n\t}","private void checkVictory() {\n\t\tboolean currentWin = true;\n\t\t\n\t\t//Vertical win\n\t\tfor (int i = 0; i<DIVISIONS; i++){\n\t\t\tif (gameArray[i][yGuess] != currentPlayer){\n\t\t\t\tcurrentWin = false;\n\t\t\t}\n\t\t}\n\t\tif (currentWin){\n\t\t\tgameWon = true;\n\t\t}\n\t\t\n\t\t//Horizontal win\n\t\tcurrentWin = true;\n\t\tfor (int i = 0; i<DIVISIONS; i++){\n\t\t\tif (gameArray[xGuess][i] != currentPlayer){\n\t\t\t\tcurrentWin = false;\n\t\t\t}\n\t\t}\n\t\tif (currentWin){\n\t\t\tgameWon = true;\n\t\t}\n\t\t\n\t\t//Top left bottom right diagonal win\n\t\tcurrentWin = true;\n\t\tif (xGuess == yGuess){\n\t\tfor (int i = 0; i<DIVISIONS; i++){\n\t\t\tif (gameArray[i][i] != currentPlayer){\n\t\t\t\tcurrentWin = false;\n\t\t\t}\n\t\t}\n\t\tif (currentWin){\n\t\t\tgameWon = true;\n\t\t}\n\t\t}\n\t\t\n\t\t//Bottom left top right diagonal win\n\t\tcurrentWin = true;\n\t\tif (yGuess + xGuess == DIVISIONS - 1){\n\t\t\tfor (int i = 0; i<DIVISIONS; i++){\n\t\t\t\tif (gameArray[i][(DIVISIONS - 1) -i] != currentPlayer){\n\t\t\t\t\tcurrentWin = false;\n\t\t\t\t}\n\t\t\t}\n\t\t\tif (currentWin){\n\t\t\t\tgameWon = true;\n\t\t\t}\n\t\t}\n\t\t\n\t}","private boolean win(int row, int col, int player)\n {\n int check;\n // horizontal line\n // Start checking at a possible and valid leftmost point\n for (int start = Math.max(col - 3, 0); start <= Math.min(col,\n COLUMNS - 4); start++ )\n {\n // Check 4 chess horizontally from left to right\n for (check = 0; check < 4; check++ )\n {\n // The coordinate of column increases 1 every time\n if (chessBoard[row][start + check] != player)\n {\n break;\n }\n }\n // If the checking passed, win\n if (check == 4)\n {\n return true;\n }\n }\n\n // vertical line\n // Start checking at the point inputed if there exists at least 3 rows under\n // it.\n if (row + 3 < ROWS)\n {\n // Check another 3 chess vertically from top to bottom\n for (check = 1; check < 4; check++ )\n {\n // The coordinate of row increases 1 every time\n // Check if the chess all belong to the player\n if (chessBoard[row + check][col] != player)\n {\n break;\n }\n }\n // If the checking passed, win\n if (check == 4)\n {\n return true;\n }\n }\n\n // diagonal line \"\\\"\n // Start checking at a possible and valid leftmost and upmost point\n for (int start = Math.max(Math.max(col - 3, 0), col - row); start <= Math\n .min(Math.min(col, COLUMNS - 4), col + ROWS - row - 4); start++ )\n {\n // Check 4 chess diagonally from left and top to right and bottom\n for (check = 0; check < 4; check++ )\n {\n // The coordinate of row increases 1 every time\n // The coordinate of column increases 1 every time\n // Check if the chess all belong to the player\n if (chessBoard[row - col + start + check][start + check] != player)\n {\n break;\n }\n }\n // If the checking passed, win\n if (check == 4)\n {\n return true;\n }\n }\n\n // diagonal line \"/\"\n // Start checking at a possible and valid leftmost and downmost point\n for (int start = Math.max(Math.max(col - 3, 0),\n col - ROWS + row + 1); start <= Math.min(Math.min(col, COLUMNS - 4),\n col + row - 3); start++ )\n {\n // Check 4 chess diagonally from left and bottom to right and up\n for (check = 0; check < 4; check++ )\n {\n // The coordinate of row decreases 1 every time\n // The coordinate of column increases 1 every time\n // Check if the chess all belong to the player\n if (chessBoard[row + col - start - check][start + check] != player)\n {\n break;\n }\n }\n // If the checking passed, win\n if (check == 4)\n {\n return true;\n }\n }\n // no checking passed, not win\n return false;\n }","private boolean rowWin (){ \r\n\t\tfor (int i=0; i<3; i++){ \r\n\t\t\tif (checkValue (board[i][0], board[i][1], board[i][2])){\r\n\t\t\t\treturn true;\r\n\t\t\t}\r\n\t\t}\r\n\t\treturn false; \r\n\t}","private void checkForWin(int x, int y, String s) {\n\t\tfor (int i = 0; i < 3; i++) {\n\t\t\tif (grid[x][i].getText() != s)\n\t\t\t\tbreak;\n\t\t\tif (i == 3 - 1) {\n\t\t\t\tgameOver = true;\n\n\t\t\t\tif (grid[x][i].getText() == \"X\")\n\t\t\t\t\twinner = \"Player 1\";\n\t\t\t\telse\n\t\t\t\t\twinner = \"Player 2\";\n\t\t\t\tfor (int r = 0; r < 3; r++) {\n\t\t\t\t\tfor (int c = 0; c < 3; c++) {\n\t\t\t\t\t\tgrid[r][c].setEnabled(false);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// check row\n\t\tfor (int i = 0; i < 3; i++) {\n\t\t\tif (grid[i][y].getText() != s)\n\t\t\t\tbreak;\n\t\t\tif (i == 3 - 1) {\n\t\t\t\tgameOver = true;\n\n\t\t\t\tif (grid[i][y].getText() == \"X\")\n\t\t\t\t\twinner = \"Player 1\";\n\t\t\t\telse\n\t\t\t\t\twinner = \"Player 2\";\n\n\t\t\t\tfor (int r = 0; r < 3; r++) {\n\t\t\t\t\tfor (int c = 0; c < 3; c++) {\n\t\t\t\t\t\tgrid[r][c].setEnabled(false);\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t}\n\t\t}\n\n\t\t// check diag\n\t\tif (x == y) {\n\t\t\t// we're on a diagonal\n\t\t\tfor (int i = 0; i < 3; i++) {\n\t\t\t\tif (grid[i][i].getText() != s)\n\t\t\t\t\tbreak;\n\t\t\t\tif (i == 3 - 1) {\n\t\t\t\t\tgameOver = true;\n\n\t\t\t\t\tif (grid[i][i].getText() == \"X\")\n\t\t\t\t\t\twinner = \"Player 1\";\n\t\t\t\t\telse\n\t\t\t\t\t\twinner = \"Player 2\";\n\t\t\t\t\tfor (int r = 0; r < 3; r++) {\n\t\t\t\t\t\tfor (int c = 0; c < 3; c++) {\n\t\t\t\t\t\t\tgrid[r][c].setEnabled(false);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t}\n\t\t}\n\n\t\t// check anti diag (thanks rampion)\n\t\tif (x + y == 3 - 1) {\n\t\t\tfor (int i = 0; i < 3; i++) {\n\t\t\t\tif (grid[i][(3 - 1) - i].getText() != s)\n\t\t\t\t\tbreak;\n\t\t\t\tif (i == 3 - 1) {\n\t\t\t\t\tgameOver = true;\n\n\t\t\t\t\tif (grid[i][(3 - 1) - i].getText() == \"X\")\n\t\t\t\t\t\twinner = \"Player 1\";\n\t\t\t\t\telse\n\t\t\t\t\t\twinner = \"Player 2\";\n\t\t\t\t\tfor (int r = 0; r < 3; r++) {\n\t\t\t\t\t\tfor (int c = 0; c < 3; c++) {\n\t\t\t\t\t\t\tgrid[r][c].setEnabled(false);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}","private int[] nextDiagWin(){ \r\n\t\t//left diagonal\r\n\t\tif (board[0][0] == board[1][1] && board[2][2] == '-' && board[0][0] != '-'){\r\n\t\t\tdiagWin[0] = 2; \r\n\t\t\tdiagWin[1] = 2;\r\n\t\t\treturn diagWin;\r\n\t\t}\r\n\t\telse if (board[1][1] == board[2][2] && board[0][0] == '-' && board[1][1] != '-'){\r\n\t\t\tdiagWin[0] = 0; \r\n\t\t\tdiagWin[1] = 0;\r\n\t\t\treturn diagWin;\r\n\t\t}\r\n\t\telse if (board[0][0] == board[2][2] && board[1][1] == '-' && board[0][0] != '-'){\r\n\t\t\tdiagWin[0] = 1; \r\n\t\t\tdiagWin[1] = 1;\r\n\t\t\treturn diagWin;\r\n\t\t}\r\n\t\t//right diagonal\r\n\t\telse if (board[0][2] == board[2][0] && board[1][1] == '-' && board[0][2] != '-'){\r\n\t\t\tdiagWin[0] = 1; \r\n\t\t\tdiagWin[1] = 1;\r\n\t\t\treturn diagWin;\r\n\t\t}\r\n\t\telse if (board[0][2] == board[1][1] && board[2][0] == '-' && board[0][2] != '-'){\r\n\t\t\tdiagWin[0] = 2; \r\n\t\t\tdiagWin[1] = 0;\r\n\t\t\treturn diagWin;\r\n\t\t}\t\t\r\n\t\telse if (board[1][1] == board[2][0] && board[0][2] == '-' && board[1][1] != '-'){\r\n\t\t\tdiagWin[0] = 0; \r\n\t\t\tdiagWin[1] = 2;\r\n\t\t\treturn diagWin;\r\n\t\t}\r\n\t\treturn diagWin;\r\n\t}","public int sides1() {\n for (int row = 0; row < board.length; row++)\n for (int col = 0; col < board.length; col++) {\n // left-border (excluding corners - check 3 sides only)\n if (row != 0 && row != board.length - 1 && col == 0) {\n if (board[row - 1][col] != null && board[row][col + 1] != null && board[row + 1][col] != null\n && board[row][col] != null)\n if (board[row - 1][col].getPlayerNumber() != board[row][col].getPlayerNumber()\n && board[row - 1][col].getPlayerNumber() != board[row][col].getPlayerNumber() &&\n board[row][col + 1].getPlayerNumber() != board[row][col].getPlayerNumber())\n if (playersArray[board[row][col].getPlayerNumber()] != -3)\n return board[row][col].getPlayerNumber();\n\n }\n // right-border (excluding corners - check 3 sides only)\n if (row != 0 && row != board.length - 1 && col == board.length - 1) {\n if (board[row - 1][col] != null && board[row][col - 1] !=\n null && board[row + 1][col] != null&& board[row][col] != null)\n if (board[row - 1][col].getPlayerNumber() != board[row][col].getPlayerNumber()\n && board[row][col].getPlayerNumber() != board[row+1][col] .getPlayerNumber() &&\n board[row][col - 1].getPlayerNumber() != board[row][col].getPlayerNumber())\n if (playersArray[board[row][col].getPlayerNumber()] != -3)\n return board[row][col].getPlayerNumber();\n }\n // above-border (excluding corners - check 3 sides only)\n if (col != 0 && col != board.length - 1 && row == 0) {\n if (board[row][col - 1] != null && board[row][col + 1] !=\n null && board[row + 1][col] != null&& board[row][col] != null)\n if (board[row][col].getPlayerNumber() == board[row][col + 1].getPlayerNumber()\n && board[row + 1][col].getPlayerNumber() != board[row][col].getPlayerNumber() &&\n board[row][col - 1].getPlayerNumber() != board[row][col].getPlayerNumber())\n if (playersArray[board[row][col].getPlayerNumber()] != -3)\n return board[row][col].getPlayerNumber();\n }\n // bottom-border (excluding corners - check 3 sides only)\n if (col != 0 && col != board.length - 1 && row == board.length - 1) {\n if (board[row][col - 1] != null && board[row][col + 1] != null && board[row - 1][col] != null&&\n board[row][col]!= null)\n if (board[row][col].getPlayerNumber() != board[row][col + 1].getPlayerNumber()\n && board[row - 1][col].getPlayerNumber() != board[row][col].getPlayerNumber() &&\n board[row][col - 1].getPlayerNumber() != board[row][col].getPlayerNumber())\n return board[row][col - 1].getPlayerNumber();\n }\n\n }\n return -2;\n\n }","private boolean hasColWin() {\n for (int i = 0; i < rows; i++) {\n for (int j = 0; j < cols; j++) {\n if (getBoard()[i][j] != null) {\n\n boolean colWin = colHasFour(i, j);\n if (colWin) {\n return true;\n }\n\n }\n }\n }\n return false;\n }","private int checkWin(int x) {\n for (int row = 0; row < 8; row++) {\n for (int col = 0; col < 9; col++) {\n //Black = 1, Red = 0\n\n //Checks Vertically\n if ((buttons[row][col].getText() == \"O\") && (buttons[row][col+1].getText() == \"O\") && (buttons[row][col+2].getText() == \"O\") && (buttons[row][col+3].getText() == \"O\")) {\n return 0;\n }\n if ((buttons[row][col].getText() == \"X\") && (buttons[row][col+1].getText() == \"X\") && (buttons[row][col+2].getText() == \"X\") && (buttons[row][col+3].getText() == \"X\")) {\n return 1;\n }\n\n //Checks Vertically\n if ((buttons[row][col].getText() == \"O\") && (buttons[row+1][col].getText() == \"O\") && (buttons[row+2][col].getText() == \"O\") && (buttons[row+3][col].getText() == \"O\")) {\n return 0;\n }\n\n if ((buttons[row][col].getText() == \"X\") && (buttons[row+1][col].getText() == \"X\") && (buttons[row+2][col].getText() == \"X\") && (buttons[row+3][col].getText() == \"X\")) {\n return 1;\n }\n\n //Diagonal Top left to bottom right checker\n if((buttons[row][col].getText() == \"O\") && (buttons[row+1][col+1].getText() == \"O\") && (buttons[row+2][col+2].getText() == \"O\") && (buttons[row+3][col+3].getText() == \"O\")) {\n return 0;\n }\n if((buttons[row][col].getText() == \"X\") && (buttons[row+1][col+1].getText() == \"X\") && (buttons[row+2][col+2].getText() == \"X\") && (buttons[row+3][col+3].getText() == \"X\")) {\n return 1;\n }\n\n //Diagonal Bottom left to top right checker\n if((buttons[row][col].getText() == \"O\") && (buttons[row-1][col+1].getText() == \"O\") && (buttons[row-2][col+2].getText() == \"O\") && (buttons[row-3][col+3].getText() == \"O\")) {\n return 0;\n }\n if((buttons[row][col].getText() == \"X\") && (buttons[row-1][col+1].getText() == \"X\") && (buttons[row-2][col+2].getText() == \"X\") && (buttons[row-3][col+3].getText() == \"X\")) {\n return 1;\n }\n }\n }\n return 2;\n }","public int checkWinner(int player, int row, int col) {\n // Just check for extra 3 count since current board[row][col] is already counted as 1.\n \n // check horizontal\n int count = getConnectedCount(player, row, -1, col, 0) // left\n + getConnectedCount(player, row, 1, col, 0); // right\n if (count == 3) return player;\n\n // check vertical\n count = getConnectedCount(player, row, 0, col, -1) // up\n + getConnectedCount(player, row, 0, col, 1); // down\n if (count == 3) return player;\n\n // check top left to bottom right\n count = getConnectedCount(player, row, -1, col, -1) // top left\n + getConnectedCount(player, row, 1, col, 1); // bottom right\n if (count == 3) return player;\n\n // check top right to bottom left\n count = getConnectedCount(player, row, -1, col, 1) // top right\n + getConnectedCount(player, row, 1, col, -1); // bottom left\n if (count == 3) return player;\n\n return -1;\n }","public boolean win() {\r\n\t\tfor (int n = 0; n < 3; n++) {\r\n\t\t\tfor (int m = 0; m < 7; m++) {\r\n\t\t\t\tif (board[n][m] != 'X') {\r\n\t\t\t\t\tif (board[n + 1][m] == board[n][m] && board[n + 2][m] == board[n][m]\r\n\t\t\t\t\t\t\t&& board[n + 3][m] == board[n][m]) {\r\n\t\t\t\t\t\tsquares[n][m].setText(\"X\");\r\n\t\t\t\t\t\tsquares[n + 1][m].setText(\"X\");\r\n\t\t\t\t\t\tsquares[n + 2][m].setText(\"X\");\r\n\t\t\t\t\t\tsquares[n + 3][m].setText(\"X\");\r\n\r\n\t\t\t\t\t\twinnerChip = board[n][m];\r\n\r\n\t\t\t\t\t\treturn true;\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\tfor (int n = 0; n < 6; n++) {\r\n\t\t\tfor (int m = 0; m < 4; m++) {\r\n\t\t\t\tif (board[n][m] != 'X') {\r\n\t\t\t\t\tif (board[n][m + 1] == board[n][m] && board[n][m + 2] == board[n][m]\r\n\t\t\t\t\t\t\t&& board[n][m + 3] == board[n][m]) {\r\n\t\t\t\t\t\tsquares[n][m].setText(\"X\");\r\n\t\t\t\t\t\tsquares[n][m + 1].setText(\"X\");\r\n\t\t\t\t\t\tsquares[n][m + 2].setText(\"X\");\r\n\t\t\t\t\t\tsquares[n][m + 3].setText(\"X\");\r\n\t\t\t\t\t\twinnerChip = board[n][m];\r\n\r\n\t\t\t\t\t\treturn true;\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\tfor (int n = 0; n < 3; n++) {\r\n\t\t\tfor (int m = 0; m < 4; m++) {\r\n\t\t\t\tif (board[n][m] != 'X') {\r\n\t\t\t\t\tif (board[n + 1][m + 1] == board[n][m] && board[n + 2][m + 2] == board[n][m]\r\n\t\t\t\t\t\t\t&& board[n + 3][m + 3] == board[n][m]) {\r\n\t\t\t\t\t\tsquares[n][m].setText(\"X\");\r\n\t\t\t\t\t\tsquares[n + 1][m + 1].setText(\"X\");\r\n\t\t\t\t\t\tsquares[n + 2][m + 2].setText(\"X\");\r\n\t\t\t\t\t\tsquares[n + 3][m + 3].setText(\"X\");\r\n\r\n\t\t\t\t\t\twinnerChip = board[n][m];\r\n\t\t\t\t\t\treturn true;\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\tfor (int n = 3; n < 6; n++) {\r\n\t\t\tfor (int m = 0; m < 4; m++) {\r\n\t\t\t\tif (board[n][m] != 'X') {\r\n\t\t\t\t\tif (board[n - 1][m + 1] == board[n][m] && board[n - 2][m + 2] == board[n][m]\r\n\t\t\t\t\t\t\t&& board[n - 3][m + 3] == board[n][m]) {\r\n\t\t\t\t\t\tsquares[n][m].setText(\"X\");\r\n\t\t\t\t\t\tsquares[n - 1][m + 1].setText(\"X\");\r\n\t\t\t\t\t\tsquares[n - 2][m + 2].setText(\"X\");\r\n\t\t\t\t\t\tsquares[n - 3][m + 3].setText(\"X\");\r\n\r\n\t\t\t\t\t\twinnerChip = board[n][m];\r\n\t\t\t\t\t\treturn true;\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\treturn false;\r\n\r\n\t}","boolean diagonalWin(){\n\t\tint match_counter=0;\n\t\tboolean flag=false;\n\t\tfor(int row=8; row>=3;row--){\n\t\t\tfor(int column=0;column<25;column++){\n\t\t\t\tif(Board[row][column]!='\\u0000'){\n\t\t\t\t\tif(Board[row][column]!='O'){\n\t\t\t\t\t\tif(Board[row][column]==Board[row-1][column+1]&& \n\t\t\t\t\t\t Board[row-1][column+1]== Board[row-2][column+2]&&\n\t\t\t\t\t\t Board[row-2][column+2]==Board[row-3][column+3]){\n\t\t\t\t\t\t\tflag=true;\n\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse\n\t\t\t\t\t\t\tflag=false;\n\t\t\t\t\t}\n\t\t\t\t}\t\n\t\t\t}\n\t\t\tif (flag == true)\n\t\t\t\tbreak;\n\t\t}\n\t\treturn flag;\t\n\t}","public int checkChasingPlayer()\n {\n if(stunCountdown > 0)\n {\n chasingPlayer = false;\n return stunCountdown;\n }\n if(Game.getInstance().getPlayer().getCurrentRoom().isControlRoom())\n {\n chasingPlayer = false;\n return(-1);\n }\n else\n {\n List<Exit> neighbors = getCurrentRoom().getCollectionOfExits();\n for(Exit neighbor : neighbors)\n {\n if(getCurrentRoom().getExit(neighbor).equals(Game.getInstance().getPlayer().getCurrentRoom()) && neighbor.isOperating())\n {\n chasingPlayer = true;\n return(5 + (int) Math.floor(Math.random() * 6));\n }\n }\n chasingPlayer = false;\n return(-1);\n }\n }","public int winner(){\n getValidMoves();\n if(check(1)!=0) return 1;\n else if(check(-1)!=0) return -1;\n else if(validX.size()==0) return 2;\n else return 0;\n }","private Boolean canWinInColumn(PentagoBoard b, int column, Color who) {\n\t\tint amount=0;\n \tfor(int i=0; i<b.getSize(); i++) {\n\t\t\tif(b.getState(column,i) == Color.EMPTY || b.getState(column,i) == who) {\n\t\t\t\tamount++;\n\t\t\t}\n\t\t\telse\n\t\t\t\tamount=0;\n \t}\n \tif(amount>4)\n \t\treturn true;\n \telse\n \t\treturn false;\n }","public char checkWinner() {\r\n // Vertical\r\n if (board[0][0] == board[0][1] && board[0][1] == board[0][2] && board[0][0] != '-') {\r\n return board[0][0];\r\n }\r\n else if (board[1][0] == board[1][1] && board[1][1] == board[1][2] && board[1][0] != '-') {\r\n return board[1][0];\r\n }\r\n else if (board[2][0] == board[2][1] && board[2][1] == board[2][2] && board[2][0] != '-') {\r\n return board[2][0];\r\n }\r\n // Horizontal\r\n else if (board[0][0] == board[1][0] && board[1][0] == board[2][0] && board[0][0] != '-') {\r\n return board[0][0];\r\n }\r\n else if (board[0][1] == board[1][1] && board[1][1] == board[2][1] && board[0][1] != '-') {\r\n return board[0][1];\r\n }\r\n else if (board[0][2] == board[1][2] && board[1][2] == board[2][2] && board[0][2] != '-') {\r\n return board[0][2];\r\n }\r\n // Diagonal\r\n else if (board[0][0] == board[1][1] && board[1][1] == board[2][2] && board[0][0] != '-') {\r\n return board[0][0];\r\n }\r\n else if (board[0][2] == board[1][1] && board[1][1] == board[2][0] && board[0][2] != '-') {\r\n return board[0][2];\r\n }\r\n // Tie\r\n else {\r\n for (int y = 0; y < 3; y++) {\r\n for (int x = 0; x < 3; x++) {\r\n if (board[x][y] == '-')\r\n return 'N';\r\n }\r\n }\r\n return 'T';\r\n }\r\n }","public int dropPiece(int column_dropped)\n {\n int row_landed = -1;\n if (column_dropped >= 0 && column_dropped <= 6)\n {\n for (int row = 0; row <= 5; row++)\n {\n if (current_board[column_dropped][row] == 0)\n {\n current_board[column_dropped][row] = player_turn;\n total_moves++;\n row_landed = row;\n break;\n }\n }\n }\n return row_landed;\n }","private WinScenario getWinningScenario() {\n Diagonal primaryDiagonal = new Diagonal(this, true);\n if (primaryDiagonal.isWon()) {\n return primaryDiagonal;\n }\n\n // Check for secondary diagonal\n Diagonal secondaryDiagonal = new Diagonal(this, false);\n if (secondaryDiagonal.isWon()) {\n return secondaryDiagonal;\n }\n\n // Check for a winning row or colum\n for (int i = 0; i < 3; i++) {\n Row row = new Row(this, i);\n if (row.isWon()) {\n return row;\n }\n\n Column column = new Column(this, i);\n if (column.isWon()) {\n return column;\n }\n }\n\n return null;\n }","private boolean checkWinner() {\n\t\tboolean frontDiagWin = !myBoard.isEmpty(0, 0);\n\t\tchar frontDiagToken = myBoard.getCell(0, 0);\n\t\tboolean backDiagWin = !myBoard.isEmpty(0, Board.BOARD_SIZE - 1);\n\t\tchar backDiagToken = myBoard.getCell(0, Board.BOARD_SIZE - 1);\n\t\tfor (int i = 0; i < Board.BOARD_SIZE; i++) {\n\t\t\t// check Diagonals\n\t\t\tfrontDiagWin = myBoard.getCell(i, i) == frontDiagToken ? frontDiagWin\n\t\t\t\t\t: false;\n\t\t\tbackDiagWin = myBoard.getCell(i, (Board.BOARD_SIZE - 1) - i) == backDiagToken ? backDiagWin\n\t\t\t\t\t: false;\n\t\t\t// check Rows and Columns\n\t\t\tboolean rowWin = !myBoard.isEmpty(i, 0);\n\t\t\tchar startRowToken = myBoard.getCell(i, 0);\n\t\t\tboolean colWin = !myBoard.isEmpty(0, i);\n\t\t\tchar startColToken = myBoard.getCell(0, i);\n\t\t\tfor (int j = 0; j < Board.BOARD_SIZE; j++) {\n\t\t\t\trowWin = myBoard.getCell(i, j) == startRowToken ? rowWin\n\t\t\t\t\t\t: false;\n\t\t\t\tcolWin = myBoard.getCell(j, i) == startColToken ? colWin\n\t\t\t\t\t\t: false;\n\t\t\t}\n\t\t\tif (rowWin || colWin) {\n\t\t\t\tSystem.out.println(\"\\\"\"\n\t\t\t\t\t\t+ (rowWin ? startRowToken : startColToken)\n\t\t\t\t\t\t+ \"\\\" wins the game!\");\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\tif (frontDiagWin || backDiagWin) {\n\t\t\tSystem.out.println(\"\\\"\"\n\t\t\t\t\t+ (frontDiagWin ? frontDiagToken : backDiagToken)\n\t\t\t\t\t+ \"\\\" wins the game!\");\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}","private boolean checkPlayerOneWin()\n {\n boolean playerOneWin = false;\n \n if( board[0][0] == \"X\" && board[0][1] == \"X\" && board[0][2] == \"X\" )\n {\n playerOneWin = true;\n }\n else if( board[1][0] == \"X\" && board[1][1] == \"X\" && board[1][2] == \"X\" )\n {\n playerOneWin = true;\n }\n else if( board[2][0] == \"X\" && board[2][1] == \"X\" && board[2][2] == \"X\" )\n {\n playerOneWin = true;\n }\n else if( board[0][0] == \"X\" && board[1][0] == \"X\" && board[2][0] == \"X\" )\n {\n playerOneWin = true;\n }\n else if( board[0][1] == \"X\" && board[1][1] == \"X\" && board[2][1] == \"X\" )\n {\n playerOneWin = true;\n }\n else if( board[2][0] == \"X\" && board[2][1] == \"X\" && board[2][2] == \"X\" )\n {\n playerOneWin = true;\n }\n else if( board[0][0] == \"X\" && board[1][1] == \"X\" && board[2][2] == \"X\" )\n {\n playerOneWin = true;\n }\n else if( board[0][2] == \"X\" && board[1][1] == \"X\" && board[2][0] == \"X\" )\n {\n playerOneWin = true;\n }\n \n return playerOneWin;\n }","private int checkRow() {\n for (int i = 0; i < 3; i++) {\n if ((this.board[0][i] == this.board[1][i]) && (this.board[0][i] == this.board[2][i])) {\n return this.board[0][i];\n }\n }\n return 0;\n }","public int terminalTest(int[][] gameBoard) {\n for (int col = 0; col < gameBoard.length; col++) {\n for (int row = 0; row < gameBoard[col].length - 3; row++) {\n if (gameBoard[col][row] == 1 &&\n gameBoard[col][row + 1] == 1 &&\n gameBoard[col][row + 2] == 1 &&\n gameBoard[col][row + 3] == 1) {\n return 1;\n } else if (gameBoard[col][row] == 2 &&\n gameBoard[col][row + 1] == 2 &&\n gameBoard[col][row + 2] == 2 &&\n gameBoard[col][row + 3] == 2) {\n return 2;\n }\n }\n }\n\n // check for horizontal win (searching to the right)\n for (int row = 0; row < gameBoard[0].length; row++) {\n for (int col = 0; col < gameBoard.length - 3; col++) {\n if (gameBoard[col][row] == 1 &&\n gameBoard[col + 1][row] == 1 &&\n gameBoard[col + 2][row] == 1 &&\n gameBoard[col + 3][row] == 1) {\n return 1;\n } else if (gameBoard[col][row] == 2 &&\n gameBoard[col + 1][row] == 2 &&\n gameBoard[col + 2][row] == 2 &&\n gameBoard[col + 3][row] == 2) {\n return 2;\n }\n }\n }\n\n // check for diagonal win (searching down + right)\n for (int col = 0; col < gameBoard.length - 3; col++) {\n for (int row = 0; row < gameBoard[col].length - 3; row++) {\n if (gameBoard[col][row] == 1 &&\n gameBoard[col + 1][row + 1] == 1 &&\n gameBoard[col + 2][row + 2] == 1 &&\n gameBoard[col + 3][row + 3] == 1) {\n return 1;\n } else if (gameBoard[col][row] == 2 &&\n gameBoard[col + 1][row + 1] == 2 &&\n gameBoard[col + 2][row + 2] == 2 &&\n gameBoard[col + 3][row + 3] == 2) {\n return 2;\n }\n }\n }\n\n // check for diagonal win (searching down + left)\n for (int col = gameBoard.length - 1; col >= 3; col--) {\n for (int row = 0; row < gameBoard[col].length - 3; row++) {\n if (gameBoard[col][row] == 1 &&\n gameBoard[col - 1][row + 1] == 1 &&\n gameBoard[col - 2][row + 2] == 1 &&\n gameBoard[col - 3][row + 3] == 1) {\n return 1;\n } else if (gameBoard[col][row] == 2 &&\n gameBoard[col - 1][row + 1] == 2 &&\n gameBoard[col - 2][row + 2] == 2 &&\n gameBoard[col - 3][row + 3] == 2) {\n return 2;\n }\n }\n }\n\n return 0; // neither player has won\n }","public GameState won() {\n if ( (board[0][0] != TileState.BLANK) && (board[0][0] == board[0][1]) && (board[0][0] == board[0][2])) {\n if (playerOneTurn)\n return GameState.PLAYER_TWO;\n else\n return GameState.PLAYER_ONE;\n } else if ((board[1][0] != TileState.BLANK) && (board[1][0] == board[1][1]) && (board[1][0] == board[1][2])) {\n if (playerOneTurn)\n return GameState.PLAYER_TWO;\n else\n return GameState.PLAYER_ONE;\n } else if ((board[2][0] != TileState.BLANK) && (board[2][0] == board[2][1]) && (board[2][0] == board[2][2])) {\n if (playerOneTurn)\n return GameState.PLAYER_TWO;\n else\n return GameState.PLAYER_ONE;\n } else if ((board[0][0] != TileState.BLANK) && (board[0][0] == board[1][1]) && (board[0][0] == board[2][2])) {\n if (playerOneTurn)\n return GameState.PLAYER_TWO;\n else\n return GameState.PLAYER_ONE;\n } else if ( (board[0][2] != TileState.BLANK) && (board[0][2] == board[1][1]) && (board[0][2] == board[2][0])) {\n if (playerOneTurn)\n return GameState.PLAYER_TWO;\n else\n return GameState.PLAYER_ONE;\n } else if ((board[0][0] != TileState.BLANK) && (board[0][0] == board[1][0]) && (board[0][0] == board[2][0])) {\n if (playerOneTurn)\n return GameState.PLAYER_TWO;\n else\n return GameState.PLAYER_ONE;\n } else if ((board[0][1] != TileState.BLANK) && (board[0][1] == board[1][1]) && (board[0][1] == board[2][1])) {\n if (playerOneTurn)\n return GameState.PLAYER_TWO;\n else\n return GameState.PLAYER_ONE;\n } else if ((board[0][2] != TileState.BLANK) && (board[0][2] == board[1][2]) && (board[0][2] == board[2][2])) {\n if (playerOneTurn)\n return GameState.PLAYER_TWO;\n else\n return GameState.PLAYER_ONE;\n } else if (movesPlayed == 9)\n return GameState.DRAW;\n return GameState.IN_PROGRESS;\n }","public int getComMove() {\n\n int move;\n\n // Checks if a computer played a move in that spot\n for (int i = 0; i < getBoardSize(); i++) {\n if (playBoard[i] != REAL_PLAYER && playBoard[i] != COM_PLAYER) {\n char currPlace = playBoard[i];\n playBoard[i] = COM_PLAYER;\n\n if (winCheck() == 3) {\n setMove(COM_PLAYER, i);\n return i;\n }\n else {\n playBoard[i] = currPlace;\n }\n }\n }\n\n // Check to block human player from winning\n for (int i = 0; i < getBoardSize(); i++) {\n if (playBoard[i] != REAL_PLAYER && playBoard[i] != COM_PLAYER) {\n char currPlace = playBoard[i];\n playBoard[i] = REAL_PLAYER;\n\n if (winCheck() == 2) {\n setMove(COM_PLAYER, i);\n return i;\n }\n else {\n playBoard[i] = currPlace;\n }\n }\n }\n\n // If play spot is empty, then make move\n do {\n move = randMove.nextInt(getBoardSize());\n } while (playBoard[move] == REAL_PLAYER || playBoard[move] == COM_PLAYER);\n setMove(COM_PLAYER, move);\n\n return move;\n }","public int getCorners() {\n //top-left corner case\n if (board[0][1] != null && board[1][0] != null&& board[0][0]!= null) {\n if (board[0][1].getPlayerNumber() == board[1][0].getPlayerNumber()\n && board[0][1].getPlayerNumber() != board[0][0].getPlayerNumber())\n return board[0][1].getPlayerNumber();\n }\n\n //top-right corner case\n if (board[0][board.length - 2] != null && board[1][board.length - 1] != null) {\n if (board[0][board.length - 2].getPlayerNumber() == board[1][board.length - 1].getPlayerNumber()\n && board[1][board.length - 1].getPlayerNumber() != board[0][board.length - 1].getPlayerNumber())\n return board[0][board.length - 2].getPlayerNumber();\n }\n\n //bottom-left corner case\n if (board[board.length - 2][0] != null && board[board.length - 1][1] != null) {\n if (board[board.length - 2][0].getPlayerNumber() == board[board.length - 1][1].getPlayerNumber()\n && board[board.length - 1][1].getPlayerNumber() != board[board.length - 1][0].getPlayerNumber())\n return board[board.length - 1][1].getPlayerNumber();\n }\n\n //bottom-right corner case\n if (board[board.length - 1][board.length - 2] != null && board[board.length - 2][board.length - 1] != null) {\n if (board[board.length - 1][board.length - 2].getPlayerNumber() == board[board.length - 2][board.length - 1].getPlayerNumber()\n && board[board.length - 2][board.length - 1].getPlayerNumber() != board[board.length - 1][board.length - 1].getPlayerNumber())\n return board[board.length - 1][board.length - 2].getPlayerNumber();\n }\n return -1;\n }","public boolean isWinner() {\n\t\t//initialize row, column, and depth\n\t\tint row = 0;\n\t\tint col = 0;\n\t\tint dep = 0;\n\t\t\n\t\t//Checks for a vertical four in a row\n\t\t//row is restriced from the full size to >=3 to avoid\n\t\t//an out of bounds exception\n\t\tfor(row = size - 1; row >= 3; row --)\n\t\t\tfor(col = 0; col < size; col ++)\n\t\t\t\tfor(dep = 0; dep < size; dep ++) {\n\t\t\t\t\t//a variable check is made to save lines\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\t//checks if the value is a player, and it\n\t\t\t\t\t//qualifies as a vertical win. If it does,\n\t\t\t\t\t//the for loop returns true.\n\t\t\t\t\tif (check != -1\n\t\t\t\t\t\t && check == board[row - 1][col][dep] &&\n\t\t\t\t\t\t\tcheck == board[row - 2][col][dep] &&\n\t\t\t\t\t\t\tcheck == board[row - 3][col][dep] )\n\t\t\t\t\t\treturn true;\n\t\t\t\t}\n\n\t\t//check for horizontal four in a row\n\t\t//col is restriced and increasing (+)\n\t\tfor (dep = 0; dep < size; dep ++)\n\t\t\tfor(row = size - 1; row >= 0; row --)\n\t\t\t\tfor(col = 0; col < size - 3; col ++) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t\t&& check == board[row][col + 1][dep]\n\t\t\t\t\t\t\t&& check == board[row][col + 2][dep] \n\t\t\t\t\t\t\t&& check == board[row][col + 3][dep])\n\t\t\t\t\t\treturn true;\n\n\t\t\t\t}\n\t\t//check for x,y upDiagnol four in a row on each depth\n\t\t//row is restricted and decreasing (-)\n\t\t//col is restricted and increasing (+)\n\t\tfor (dep = 0; dep < size; dep ++)\n\t\t\tfor(row = size - 1; row >= 3; row --)\n\t\t\t\tfor(col = 0; col < size - 3; col ++) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t\t&& check == board[row - 1][col + 1][dep]\n\t\t\t\t\t\t\t&& check == board[row - 2][col + 2][dep]\n\t\t\t\t\t\t\t&& check == board[row - 3][col + 3][dep])\n\t\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t//check for x,y downDiagnol four in a row on each depth\n\t\t//row is restricted and increasing (+)\n\t\t//col is restricted and increasing (+)\n\t\tfor (dep = 0; dep < size; dep ++)\n\t\t\tfor(row = 0; row < size - 3; row ++)\n\t\t\t\tfor(col = 0; col < size - 3; col ++) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t\t&& check == board[row + 1][col + 1][dep]\n\t\t\t\t\t\t\t&& check == board[row + 2][col + 2][dep]\n\t\t\t\t\t\t\t&& check == board[row + 3][col + 3][dep])\n\t\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t//check for x,z horizontal four in a row on each column\n\t\t//dep is restricted and increasing (+)\n\t\tfor(col = 0; col < size; col ++)\n\t\t\tfor(row = size - 1; row >= 0; row --)\n\t\t\t\tfor(dep = 0; dep < size - 3; dep ++) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t\t&& check == board[row][col][dep + 1]\n\t\t\t\t\t\t\t&& check == board[row][col][dep + 2]\n\t\t\t\t\t\t\t&& check == board[row][col][dep + 3])\n\t\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t//check for x,z upDiagnol four in a row on ecah column\n\t\t//row is restricted and decreasing (-)\n\t\t//dep is restricted and increasing (+)\n\t\tfor(col = 0; col < size; col ++)\n\t\t\tfor(row = size - 1; row >= 3; row --)\n\t\t\t\tfor(dep = 0; dep < size - 3; dep ++) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t\t&& check == board[row - 1][col][dep + 1]\n\t\t\t\t\t\t\t&& check == board[row - 2][col][dep + 2]\n\t\t\t\t\t\t\t&& check == board[row - 3][col][dep + 3])\n\t\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t//check for x,z downDiagnol four in a row\n\t\t// dep +, row +\n\t\tfor(col = 0; col < size; col ++)\n\t\t\tfor(row = 0; row > size - 3; row ++)\n\t\t\t\tfor(dep = 0; dep < size - 3; dep ++) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t\t&& check == board[row + 1][col][dep + 1]\n\t\t\t\t\t\t\t&& check == board[row + 2][col][dep + 2]\n\t\t\t\t\t\t\t&& check == board[row + 3][col][dep + 3])\n\t\t\t\t\t\treturn true;\n\n\t\t\t\t}\n\t\t//check for x,y,z up diagnol to the top right\n\t\t//row -, col +, dep +\n\t\tfor(row = size - 1; row >= 3; row --)\n\t\t\tfor(col = 0; col < size - 3; col ++)\n\t\t\t\tfor(dep = 0; dep < size - 3; dep ++) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t&& check == board[row - 1][col + 1][dep + 1]\n\t\t\t\t\t\t&& check == board[row - 2][col + 2][dep + 2]\n\t\t\t\t\t\t&& check == board[row - 3][col + 3][dep + 3])\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t//check for x,y,z up diagnol to the top left\n\t\t//row -, col -, dep +\n\t\tfor(row = size - 1; row >= 3; row --)\n\t\t\tfor(col = size -1; col >= 3; col --)\n\t\t\t\tfor(dep = 0; dep < size - 3; dep ++) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t&& check == board[row - 1][col - 1][dep + 1]\n\t\t\t\t\t\t&& check == board[row - 2][col - 2][dep + 2]\n\t\t\t\t\t\t&& check == board[row - 3][col - 3][dep + 3])\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t//check for x,y,z up diagnol to the down left\n\t\t//row -, col -, dep -\n\t\tfor(row = size - 1; row >= 3; row --)\n\t\t\tfor(col = size -1; col >= 3; col --)\n\t\t\t\tfor(dep = size - 1; dep >= 3; dep --) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t&& check == board[row - 1][col - 1][dep - 1]\n\t\t\t\t\t\t&& check == board[row - 2][col - 2][dep - 2]\n\t\t\t\t\t\t&& check == board[row - 3][col - 3][dep - 3])\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t//check for x,y,z up diagnol to the down right\n\t\t//row -, col +, dep -\n\t\tfor(row = size - 1; row >= 3; row --)\n\t\t\tfor(col = 0; col < size - 3; col ++)\n\t\t\t\tfor(dep = size - 1; dep >= 3; dep --) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t&& check == board[row - 1][col + 1][dep - 1]\n\t\t\t\t\t\t&& check == board[row - 2][col + 2][dep - 2]\n\t\t\t\t\t\t&& check == board[row - 3][col + 3][dep - 3])\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t//Same as above, but now row increases rather than decreasing\n\t\t//check for down diagnol from top left to center\n\t\t//row +, col +, dep +\n\t\tfor(row = 0; row > size - 3; row ++)\n\t\t\tfor(col = 0; col < size - 3; col ++)\n\t\t\t\tfor(dep = 0; dep < size - 3; dep ++) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1\n\t\t\t\t\t\t&& check == board[row + 1][col + 1][dep + 1]\n\t\t\t\t\t\t&& check == board[row + 2][col + 2][dep + 2]\n\t\t\t\t\t\t&& check == board[row + 3][col + 3][dep + 3])\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t//check for down diagnol from top right to center\n\t\t//row + , col -, dep +\n\t\tfor(row = 0; row > size - 3; row ++)\n\t\t\tfor(col = size -1; col >= 3; col --)\n\t\t\t\tfor(dep = 0; dep < size - 3; dep ++) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t&& check == board[row + 1][col - 1][dep + 1]\n\t\t\t\t\t\t&& check == board[row + 2][col - 2][dep + 2]\n\t\t\t\t\t\t&& check == board[row + 3][col - 3][dep + 3])\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t//check for down diagnol from bottom left to center\n\t\t//row +, col -, dep -\n\t\tfor(row = 0; row > size - 3; row ++)\n\t\t\tfor(col = size -1; col >= 3; col --)\n\t\t\t\tfor(dep = size - 1; dep >= 3; dep --) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t&& check == board[row + 1][col - 1][dep - 1]\n\t\t\t\t\t\t&& check == board[row + 2][col - 2][dep - 2]\n\t\t\t\t\t\t&& check == board[row + 3][col - 3][dep - 3])\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t//check for down diagnol from bottom right to center\n\t\t//row +, col +, dep -\n\t\tfor(row = 0; row > size - 3; row ++)\n\t\t\tfor(col = 0; col < size - 3; col ++)\n\t\t\t\tfor(dep = size - 1; dep >= 3; dep --) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t&& check == board[row + 1][col + 1][dep - 1]\n\t\t\t\t\t\t&& check == board[row + 2][col + 2][dep - 2]\n\t\t\t\t\t\t&& check == board[row + 3][col + 3][dep - 3])\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\n\t\t//check for diagonals where row stays the same, but x,z change\n\t\t//depth up diagnol, col +, dep +\n\t\tfor(row = size - 1; row >= 0 ; row --)\n\t\t\tfor(col = 0; col < size - 3; col ++)\n\t\t\t\tfor(dep = 0; dep < size - 3; dep ++) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t&& check == board[row][col + 1][dep + 1]\n\t\t\t\t\t\t&& check == board[row][col + 2][dep + 2]\n\t\t\t\t\t\t&& check == board[row][col + 3][dep + 3])\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\n\t\t//depth down diagnol, col +, dep -\n\t\tfor(row = size - 1; row >= 0 ; row --)\n\t\t\tfor(col = 0; col < size - 3; col ++)\n\t\t\t\tfor(dep = size - 1; dep >= 3; dep --) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t&& check == board[row][col + 1][dep - 1]\n\t\t\t\t\t\t&& check == board[row][col + 2][dep - 2]\n\t\t\t\t\t\t&& check == board[row][col + 3][dep - 3])\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\n\t\t// depth down left diagnol, col -, dep +\n\t\tfor(row = size - 1; row >= 0 ; row --)\n\t\t\tfor(col = size - 1; col >= 3; col --)\n\t\t\t\tfor(dep = 0; dep < size - 3; dep ++) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t&& check == board[row][col - 1][dep + 1]\n\t\t\t\t\t\t&& check == board[row][col - 2][dep + 2]\n\t\t\t\t\t\t&& check == board[row][col - 3][dep + 3])\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\n\t\t//depth down right diagnol, col -, dep -\n\t\tfor(row = size - 1; row >= 0 ; row --)\n\t\t\tfor(col = size - 1; col >= 3; col --)\n\t\t\t\tfor(dep = size - 1; dep >= 3; dep --) {\n\t\t\t\t\tint check = board[row][col][dep];\n\t\t\t\t\tif(check != -1 \n\t\t\t\t\t\t&& check == board[row][col - 1][dep - 1]\n\t\t\t\t\t\t&& check == board[row][col - 2][dep - 2]\n\t\t\t\t\t\t&& check == board[row][col - 3][dep - 3])\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t//returns false if none of the above return true\n\t\treturn false;\n\t}","public static boolean diagonalJudge(String playerMarker, int row, int column){\n\n boolean victoryFlag = false;\n\n int subRow = 0;\n int subColumn = 0;\n int victoryCounter = 0;\n\n // Checking first Diagonal\n // North West\n\n subRow = row;\n subColumn = column;\n\n // Store the player's latest move's coordinates\n\n winList.add(subColumn);\n winList.add(subColumn);\n\n while ( subRow >= 0 && subColumn >= 0 && !victoryFlag ){\n\n subRow--;\n subColumn--;\n\n if ( subRow >= 0 && subColumn >= 0 ){\n\n if ( gameBoard[subRow][subColumn].equals(playerMarker) ){\n winList.add(subRow);\n winList.add(subColumn);\n victoryCounter++;\n\n if ( victoryCounter == 3){\n victoryFlag = true;\n }\n }\n\n else{\n break;\n }\n }\n }\n\n // South East\n\n subRow = row;\n subColumn = column;\n\n while ( subRow < 6 && subColumn < 7 && !victoryFlag ){\n\n subRow++;\n subColumn++;\n\n if ( subRow < 6 && subColumn < 7 ){\n\n if ( gameBoard[subRow][subColumn].equals(playerMarker) ){\n winList.add(subRow);\n winList.add(subColumn);\n victoryCounter++;\n\n if ( victoryCounter == 3){\n victoryFlag = true;\n }\n }\n\n else{\n break;\n }\n }\n }\n\n if ( !victoryFlag ){\n winList.clear(); // reset the list, if no one won\n }\n else{\n winDirection = \"Left Diagonal\";\n }\n\n // Checking the other diagonal\n // North East\n\n victoryCounter = 0;\n subRow = row;\n subColumn = column;\n winList.add(subRow);\n winList.add(subColumn);\n\n while ( subRow >= 0 && subColumn < 7 && !victoryFlag ){\n\n subRow--;\n subColumn++;\n\n if ( subRow >= 0 && subColumn < 7 ){\n\n if ( gameBoard[subRow][subColumn].equals(playerMarker) ){\n winList.add(subRow);\n winList.add(subColumn);\n victoryCounter++;\n\n if ( victoryCounter == 3){\n winDirection = \"Right Diagonal\";\n victoryFlag = true;\n }\n }\n\n else{\n break;\n }\n }\n }\n\n // South East\n\n subRow = row;\n subColumn = column;\n\n while ( subRow < 6 && subColumn >= 0 && !victoryFlag ){\n\n subRow++;\n subColumn--;\n\n if ( subRow <= 5 && subColumn >= 0 ){\n\n if ( gameBoard[subRow][subColumn].equals(playerMarker) ){\n winList.add(subRow);\n winList.add(subColumn);\n victoryCounter++;\n\n if ( victoryCounter == 3){\n winDirection = \"Right Diagonal\";\n victoryFlag = true;\n }\n }\n\n else{\n break;\n }\n }\n }\n\n if ( !victoryFlag ){\n winList.clear();\n }\n\n return victoryFlag;\n }","public int getWinner() {\n //checks corner cells\n if (getCorners() != -1)\n return getCorners();\n\n //checks border cells\n if (getBorders() != -1)\n return getBorders();\n\n //check middle cases\n if (getMiddle() != -1)\n return getMiddle();\n\n return -1;\n }","private boolean checkRowColWin(char symbol) {\n boolean cols, rows;\n\n for (int col = 0; col < SIZE; col++) {\n cols = true;\n rows = true;\n\n for (int row = 0; row < SIZE; row++) {\n cols &= (gameField[col][row] == symbol);\n rows &= (gameField[row][col] == symbol);\n }\n if (cols || rows) {\n return true;\n }\n }\n return false;\n }","public static int checkForWinner(ArrayList<Integer> brd) {\n int Slot1 = brd.get(0); // get is a method of ArrayList\n int Slot2 = brd.get(1);\n int Slot3 = brd.get(2);\n int Slot4 = brd.get(3);\n int Slot5 = brd.get(4);\n int Slot6 = brd.get(5);\n int Slot7 = brd.get(6);\n int Slot8 = brd.get(7);\n int Slot9 = brd.get(8);\n\n // row check\n if (Slot1 == Slot2 && Slot1 == Slot3) {\n return Slot1; // return the player who won\n }\n if (Slot4 == Slot5 && Slot4 == Slot6) {\n return Slot4; // return the player who won\n }\n if (Slot7 == Slot8 && Slot7 == Slot9) {\n return Slot7; // return the player who won\n }\n // column check\n if (Slot1 == Slot4 && Slot1 == Slot7) {\n return Slot1; // return the player who won\n }\n if (Slot2 == Slot5 && Slot2 == Slot8) {\n return Slot2; // return the player who won\n }\n if (Slot3 == Slot6 && Slot3 == Slot9) {\n return Slot3; // return the player who won\n }\n\n // cross check\n if (Slot1 == Slot5 && Slot1 == Slot9) {\n return Slot1; // return the player who won\n }\n if (Slot3 == Slot5 && Slot3 == Slot7) {\n return Slot3; // return the player who won\n }\n\n // check for tie\n for (int i = 0; i < brd.size(); i++) {\n if (brd.get(i) == 0) {\n return 0; // game isnt over yet\n }\n }\n return 3; // tie\n }","public boolean checkForWinner(String player) {\r\n\t\t\r\n\t\t// check rows\r\n\t\tfor (int row = 0; row < board.length; row++) {\r\n\t\t\tint markCounter = 0;\r\n\t\t\tfor (int col = 0; col < board[row].length; col++) {\r\n\t\t\t\tif (board[row][col].getText().contains(player)) {\r\n\t\t\t\t\tmarkCounter++;\r\n\t\t\t\t}\r\n\t\t\t\telse if(! (board[row][col].getText().contains(player)) ) {\r\n\t\t\t\t\tmarkCounter = 0;\r\n\t\t\t\t}\r\n\t\t\t\tif (markCounter == connectX) {\r\n\t\t\t\t\treturn true;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\t\r\n\t\t// check columns\r\n\t\tfor (int col = 0; col < 7; col++) {\r\n\t\t\tint markCounter = 0;\r\n\t\t\tfor (int row = board.length - 1; row >= 0; row--) {\r\n\t\t\t\tif(board[row][col].getText().contains(player)) {\r\n\t\t\t\t\tmarkCounter++;\r\n\t\t\t\t}\r\n\t\t\t\telse if(! (board[row][col].getText().contains(player)) ) {\r\n\t\t\t\t\tmarkCounter = 0;\r\n\t\t\t\t}\r\n\t\t\t\tif (markCounter == connectX) {\r\n\t\t\t\t\treturn true;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\t/*\r\n\t\t * This algorithm checks the right side of the second diagonal on the board. The while loop iterates four times from bottom \r\n\t\t * to top, right to left. \r\n\t\t * The reason it only iterates four times is because after a certain point, it is impossible for a player to connect four\r\n\t\t * so the code does'nt have to check the corners.\r\n\t\t * \t\tO X X X O O O\r\n\t\t * \t\tO O X X X O O\r\n\t\t * \t\tO O O X X X O\r\n\t\t *\t\tO O O O X X X\r\n\t\t * \t\tO O O O O X X\r\n\t\t * \t\tO O O O O O X\r\n\t\t * \r\n\t\t */\r\n\t\tint diag2Count = 0;\r\n\t\tint row = board.length - 1;\r\n\t\tint col = 6;\r\n\t\tint iteration = 0;\r\n\t\tint rowPlace = row;\r\n\t\twhile (iteration < 4) {\r\n\t\t\trow = rowPlace;\r\n\t\t\tcol = 6;\r\n\t\t\twhile (row >= 0 && col >= 1) {\r\n\t\t\t\tif (board[row][col].getText().contains(currPlayer)) {\r\n\t\t\t\t\tdiag2Count++;\r\n\t\t\t\t}\r\n\t\t\t\tif (!(board[row][col].getText().contains(player))) {\r\n\t\t\t\t\tdiag2Count = 0; //If there is a chip which does not belong to a player in the sequence, the counter is reset.\r\n\t\t\t\t} else {\r\n\t\t\t\t\tif (diag2Count == connectX) {\r\n\t\t\t\t\t\treturn true;\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t\trow--;\r\n\t\t\t\tcol--;\r\n\t\t\t}\r\n\t\t\titeration++;\r\n\t\t\trowPlace--;\r\n\t\t}\r\n\r\n\t\t/*\r\n\t\t * Checks the left hand side of the secondary diagonal. Iterates only 3 times.\r\n\t\t * of the board.\r\n\t\t * \t\t\tX O O O O O O\r\n\t\t * \t\t\tX X O O O O O\r\n\t\t * \t\t\tX X X O O O O\r\n\t\t * \t\t\tO X X X O O O\r\n\t\t * \t\t\tO O X X X O O\r\n\t\t * \t\t\tO O O X X X O\r\n\t\t */\r\n\t\trow = board.length - 1;\r\n\t\tcol = 3;\r\n\t\titeration = 0;\r\n\t\tint colPlace = col;\r\n\t\twhile (iteration < 4) {\r\n\t\t\tcol = colPlace;\r\n\t\t\trow = board.length -1;\r\n\t\t\twhile (row >= 0 && col >= 0) {\r\n\t\t\t\tif (board[row][col].getText().contains(currPlayer)) {\r\n\t\t\t\t\tdiag2Count++;\r\n\t\t\t\t}\r\n\t\t\t\tif (!(board[row][col].getText().contains(player))) {\r\n\t\t\t\t\tdiag2Count = 0; //If there is a chip which does not belong to a player in the sequence, the counter is reset.\r\n\t\t\t\t} else {\r\n\t\t\t\t\tif (diag2Count == connectX) {\r\n\t\t\t\t\t\treturn true;\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t\trow--;\r\n\t\t\t\tcol--;\r\n\t\t\t}\r\n\t\t\titeration++;\r\n\t\t\tcolPlace++;\r\n\t\t}\r\n\t\t\r\n\t\t/*\r\n\t\t * Checks the left hand main Diagonals and iterates 3 times.\r\n\t\t * \t\t\tO O O X X X O\r\n\t\t * \t\t\tO O X X X O O\r\n\t\t * \t\t\tO X X X O O O \r\n\t\t * \t\t\tX X X O O O O\r\n\t\t * \t\t\tX X O O O O O\r\n\t\t * \t\t\tX O O O O O O\r\n\t\t * \r\n\t\t */\r\n\t\trow = 3;\r\n\t\tcol = 0;\r\n\t\trowPlace = row;\r\n\t\titeration = 0;\r\n\t\tint diagMainCounter = 0;\r\n\t\twhile (iteration < 3) {\r\n\t\t\trow = rowPlace;\r\n\t\t\tcol = 0;\r\n\t\t\twhile (row >= 0 && col <= 6) {\r\n\t\t\t\tif (board[row][col].getText().contains(currPlayer)) {\r\n\t\t\t\t\tdiagMainCounter++;\r\n\t\t\t\t}\r\n\t\t\t\tif (!(board[row][col].getText().contains(player))) {\r\n\t\t\t\t\tdiagMainCounter = 0; //If there is a chip which does not belong to a player in the sequence, the counter is reset.\r\n\t\t\t\t} else {\r\n\t\t\t\t\tif (diagMainCounter == connectX) {\r\n\t\t\t\t\t\treturn true;\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t\trow--;\r\n\t\t\t\tcol++;\r\n\t\t\t}\r\n\t\t\titeration++;\r\n\t\t\trowPlace++;\r\n\t\t}\r\n\t\t\r\n\t\t/*\r\n\t\t * Checks the right hand side of the main diagonal and iterates 4 times.\r\n\t\t * \r\n\t\t *\t\t\tO O O O O O X\r\n\t\t *\t\t\tO O O O O X X\r\n\t\t *\t\t\tO O O O X X X\r\n\t\t *\t\t\tO O O X X X O\r\n\t\t *\t\t\tO O X X X O O\r\n\t\t *\t\t\tO X X X O O O\r\n\t\t */\r\n\t\trow = board.length -1;\r\n\t\tcol = 0;\r\n\t\tcolPlace = col;\r\n\t\titeration = 0;\r\n\t\tdiagMainCounter = 0;\r\n\t\twhile (iteration < 4) {\r\n\t\t\tcol = colPlace;\r\n\t\t\trow = board.length -1;\r\n\t\t\twhile (row >= 0 && col <= 6) {\r\n\t\t\t\tif (board[row][col].getText().contains(currPlayer)) {\r\n\t\t\t\t\tdiagMainCounter++;\r\n\t\t\t\t}\r\n\t\t\t\tif (!(board[row][col].getText().contains(player))) {\r\n\t\t\t\t\tdiagMainCounter = 0; //If there is a chip which does not belong to a player in the sequence, the counter is reset.\r\n\t\t\t\t} else {\r\n\t\t\t\t\tif (diagMainCounter == connectX) {\r\n\t\t\t\t\t\treturn true;\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t\trow--;\r\n\t\t\t\tcol++;\r\n\t\t\t}\r\n\t\t\titeration++;\r\n\t\t\tcolPlace++;\r\n\t\t}\r\n\t\treturn false;\r\n\t}","public static int checkForWin(BitSet state, BitSet theirBoard) {\n \n BitSet[] myWins = Shifts.doShifts(state, 5, true);\n BitSet[] theirWins = Shifts.doShifts(theirBoard, 5, true);\n\n\n boolean iWon = !myWins[0].isEmpty() || !myWins[1].isEmpty() || !myWins[2].isEmpty() || !myWins[3].isEmpty();\n boolean theyWon = !theirWins[0].isEmpty() || !theirWins[1].isEmpty() || !theirWins[2].isEmpty() || !theirWins[3].isEmpty();\n \n if (iWon && theyWon) {\n //draw, we both have a win\n return 0;\n }\n else if (iWon) {\n return 3000; \n }\n else if (theyWon){\n return -3000;\n }\n else {\n return 13;\n }\n }","public static boolean checkWin(int[][] board) {\n boolean win = true;\n\n //loops through rows\n for (int i = 0; i < board.length; i++) {\n int checkrow[] = new int[9];\n int checkcol[] = new int[9];\n\n //loops through columns and stores the numbers in that row and in that column\n for (int j = 0; j < board.length; j++) {\n checkrow[j] = board[i][j];\n checkcol[j] = board[j][i];\n }\n\n Arrays.sort(checkrow);//sorts the numbers\n Arrays.sort(checkcol);\n\n //checks the sorted numbers to see if there is a winnner by checking the values of the\n //sorted array. first number in the array with 1, second with 2, third with 3 etc...\n // if the numbers dont match at any point then there was not a winner and the program returns\n //false.\n for (int x = 1; x < board.length; x++) {\n if (checkrow[x] != x + 1 || checkcol[x] != x + 1) {\n win = false;\n return win;\n }\n }\n }\n\n return win;\n }","public int getIntelligentMove(int[] availableMoves, int[] board){\n for (int move : availableMoves){\n int[] tempBoard = board.clone();\n tempBoard[move] = 1;\n int result = checkWinner(tempBoard);\n if (result == 1){\n return move;\n }\n \n }\n \n // Check if user can win, if so then block\n \n for (int move : availableMoves){\n int[] tempBoard = board.clone();\n tempBoard[move] = -1;\n int result = checkWinner(tempBoard);\n if (result == 2){\n return move;\n }\n \n }\n \n // If middle is available, take it\n for (int move: availableMoves){\n if (move == 4){\n return move;\n }\n }\n \n // Move into a corner in a row/col that the user is in\n int cornerMove = checkCorners(board, availableMoves);\n if (cornerMove >= 0){\n \n }\n \n // Otherwise, take random move\n Random rand = new Random();\n int possibleMoves = availableMoves.length;\n int moveIndex = rand.nextInt(possibleMoves);\n \n return availableMoves[moveIndex];\n \n \n }","public int winner() {\n if(humanPlayerHits == 17) {\n return 1;\n }\n if(computerPlayerHits == 17){\n return 2;\n }\n return 0;\n }","public boolean winCheck(){\n for(int i=0; i<3; i++){//goes through rows\n for(int j=0; j<4; j++){//goes through columns\n if(board[i][j+3] != 0 && board[i+1][j+2] != 0 && board[i+2][j+1] != 0 && \n board[i+3][j] != 0)\n if(board[i][j+3]==(board[i+1][j+2]))\n if(board[i][j+3]==(board[i+2][j+1]))\n if(board[i][j+3]==(board[i+3][j])){\n GBoard[i][j+3].setIcon(star);\n GBoard[i+1][j+2].setIcon(star);\n GBoard[i+2][j+1].setIcon(star);\n GBoard[i+3][j].setIcon(star);\n wonYet=true;\n return true;\n }\n }\n }\n //checks for subdiagonals\n for(int i=0; i<3; i++){//goes through rows\n for(int j=0; j<4; j++){//goes through columns\n if(board[i][j] != 0 && board[i+1][j+1] != 0 && board[i+2][j+2] != 0 &&\n board[i+3][j+3] != 0)\n if(board[i][j] == (board[i+1][j+1]))\n if(board[i][j] == (board[i+2][j+2]))\n if(board[i][j] == (board[i+3][j+3])){\n GBoard[i][j].setIcon(star);\n GBoard[i+1][j+1].setIcon(star);\n GBoard[i+2][j+2].setIcon(star);\n GBoard[i+3][j+3].setIcon(star);\n wonYet=true;\n return true;\n } \n }\n }\n //check horizontals\n for(int i=0; i<6; i++){//goes through rows\n for(int j=0; j<4; j++){//goes through columns\n if(board[i][j] != 0 && board[i][j+1] != 0 && board[i][j+2] != 0 && \n board[i][j+3] != 0){\n if(board[i][j]==(board[i][j+1]))\n if(board[i][j]==(board[i][j+2]))\n if(board[i][j]==(board[i][j+3])){\n GBoard[i][j].setIcon(star);\n GBoard[i][j+1].setIcon(star);\n GBoard[i][j+2].setIcon(star);\n GBoard[i][j+3].setIcon(star);\n wonYet=true;\n return true;\n }\n }\n }\n }\n //checks for vertical wins\n for(int i=0; i<3; i++){//checks rows\n for(int j=0; j<7; j++){//checks columns\n if(board[i][j] != 0 && board[i+1][j] != 0 && board[i+2][j] != 0 && \n board[i+3][j] != 0){\n if(board[i][j]==(board[i+1][j]))\n if(board[i][j]==(board[i+2][j]))\n if(board[i][j]==(board[i+3][j])){\n GBoard[i][j].setIcon(star);\n GBoard[i+1][j].setIcon(star);\n GBoard[i+2][j].setIcon(star);\n GBoard[i+3][j].setIcon(star);\n wonYet=true;\n return true;\n }\n }\n }\n }\n return false; \n }","public static int whoseTurn(int[][] board){\n int[] oneBoard = twoToOne(board);\n int countOne =0;\n int countTwo =0;\n for(int i=0; i<ROW*COLUMN; i++){\n if(oneBoard[i]==1){\n countOne++;\n }\n else if(oneBoard[i]==2){\n countTwo++;\n }\n }\n if(countOne>countTwo)\n return 2;\n else if(countOne<countTwo)\n return 1;\n else\n //neutral board, hardcode player=computer\n return 1;\n \n }","public int winningPlayerIndex(int[][] board, Move lastMove) {\n int m = board.length;\n int n = board[0].length;\n\n\n int player = lastMove.playerIndex;\n int curRow = lastMove.row;\n int curCol = lastMove.col;\n\n\n int start = Math.max(0, curCol - 3);\n for (int i = start; i + 3 < n; i++) {\n if (board[curRow][i] == player && board[curRow][i + 1] == player\n && board[curRow][i + 2] == player && board[curRow][i + 3] == player) {\n return player;\n }\n }\n\n int startRow = Math.max(0, curRow - 3);\n for (int i = start; i + 3 < m; i++) {\n if (board[i][curCol] == player && board[i + 1][curCol] == player\n && board[i + 2][curCol] == player && board[i + 3][curCol] == player) {\n return player;\n }\n }\n\n int count = 0;\n int x = curRow;\n int y = curCol;\n while (x >= 0 && y >= 0) {\n if (board[x][y] == player) {\n count++;\n x--;\n y--;\n if (count >= 4) {\n return player;\n }\n } else {\n break;\n }\n }\n\n x = curRow + 1;\n y = curCol + 1;\n while (x < m && y < n) {\n if (board[x][y] == player) {\n count++;\n x++;\n y++;\n if (count >= 4) {\n return player;\n }\n } else {\n break;\n }\n }\n\n int count1 = 0;\n int x1 = curRow;\n int y1 = curCol;\n while (x1 < m && y1 >= 0) {\n if (board[x1][y1] == player) {\n count1++;\n x1++;\n y1--;\n if (count1 >= 4) {\n return player;\n }\n } else {\n break;\n }\n }\n\n x1 = curRow - 1;\n y1 = curCol + 1;\n while (x1 >= 0 && y1 < n) {\n if (board[x1][y1] == player) {\n count1++;\n x1--;\n y1++;\n if (count1 >= 4) {\n return player;\n }\n } else {\n break;\n }\n }\n\n\n\n// //horizontal\n// for (int i = 0; i < m; i++) {\n// for (int j = 0; j + 3 < n; j++) {\n// if (board[i][j] == player && board[i][j + 1] == player && board[i][j + 2] == player && board[i][j + 3] == player) {\n// return player;\n// }\n// }\n// }\n\n// //vertical\n// for (int i = 0; i + 3 < m; i++) {\n// for (int j = 0; j < n; j++) {\n// if (board[i][j] == player && board[i + 1][j] == player && board[i + 2][j] == player && board[i + 3][j] == player) {\n// return player;\n// }\n// }\n// }\n\n// //diagonal from upper left to lower right\n// for (int i = 3; i < m; i++) {\n// for (int j = 3; j < n; j++) {\n// if (board[i][j] == player && board[i - 1][j - 1] == player && board[i - 2][j - 2] == player && board[i - 3][j - 3] == player) {\n// return player;\n// }\n// }\n// }\n\n// //diagnoal from lower left to upper right\n// for (int i = 3; i < m; i++) {\n// for (int j = 0; j + 3 < n; j++) {\n// if (board[i][j] == player && board[i - 1][j + 1] == player && board[i - 2][j + 2] == player && board[i - 3][j + 3] == player) {\n// return player;\n// }\n// }\n// }\n\n return -1;\n }","private void checkWinningMove(TicTacToeElement element,int x,int y) {\n int logicalSize = boardProperties.getBoardLength()-1;\r\n // Check column (only the one we just played)\r\n for(int i=0;i<=logicalSize;i++){\r\n if( gameState.getBoard()[x][i] != element.getValue()){\r\n break;\r\n }\r\n // Be sure to be at the last index\r\n if(i == logicalSize){\r\n gameState.setWinner(element);\r\n }\r\n\r\n }\r\n // Check row (only the one we just played)\r\n for(int i=0;i<=logicalSize;i++){\r\n if( gameState.getBoard()[i][y] != element.getValue()){\r\n break;\r\n }\r\n // Be sure to be at the last index\r\n if(i == logicalSize){\r\n gameState.setWinner(element);\r\n }\r\n }\r\n // Check diagonal\r\n // normal diagonal\r\n for(int i= 0;i<=logicalSize;i++){\r\n if( gameState.getBoard()[i][i] != element.getValue()){\r\n break;\r\n }\r\n // Be sure to be at the last index\r\n if(i == logicalSize){\r\n gameState.setWinner(element);\r\n }\r\n }\r\n // anti diagonal\r\n for(int i= 0;i<=logicalSize;i++){\r\n if( gameState.getBoard()[i][logicalSize-i] != element.getValue()){\r\n break;\r\n }\r\n //Be sure to be at the last index\r\n if(i == logicalSize){\r\n gameState.setWinner(element);\r\n }\r\n }\r\n // check draw\r\n if(gameState.getMoveCount() == Math.pow(logicalSize,2)-1){\r\n gameState.setDraw(true);\r\n }\r\n\r\n }","public int check(int player) {\n for(int i=0;i<3;i++){\n if(board[0][i]+board[1][i]+board[2][i]==3*player) return i+1;\n if(board[i][0]+board[i][1]+board[i][2]==3*player) return i+4;\n }\n //diagonal checks returns 7,8 for right and left diagonal respectively\n if(board[0][0]+board[1][1]+board[2][2]==3*player) return 7;\n else if(board[0][2]+board[1][1]+board[2][0]==3*player) return 8;\n\n //returns 0 for nothing\n return 0;\n }","public int whoWin(){\r\n int winner = -1;\r\n \r\n int highest = 0;\r\n \r\n for(Player player : discWorld.getPlayer_HASH().values()){\r\n if(getPlayerPoints(player) > highest){\r\n highest = getPlayerPoints(player);\r\n winner = player.getID();\r\n }\r\n \r\n }\r\n \r\n return winner;\r\n }","public interface IGameBoard {\r\n int getNumRows();\r\n int getNumColumns();\r\n int getNumToWin();\r\n void placeToken(char p, int c);\r\n boolean checkHorizWin(int r, int c, char p);\r\n boolean checkVertWin(int r, int c, char p);\r\n boolean checkDiagWin(int r, int c, char p);\r\n char whatsAtPos(int r, int c);\r\n\r\n /**\r\n * @pre c > 0, c <= number of columns\r\n * @param c is the column the user selected on the most recent turn\r\n * @return true if the top of the column is free\r\n */\r\n default boolean checkIfFree(int c){ // this function checks the top of each row\r\n if (whatsAtPos(getNumRows()-1, c) == ' ') // if the top of the row is blank, return true (because there is space in the column)\r\n return true;\r\n else\r\n return false;\r\n }\r\n\r\n /**\r\n * @pre c > 0, c <= number of columns\r\n * @param c is the column the user selected on the most recent turn\r\n * @return true if either player won horizontally, vertically, or diagonally\r\n */\r\n default boolean checkForWin(int c){ // this function checks for a win horizontally, vertically, and diagonally\r\n int row = 0;\r\n// for(int i = 0; i < getNumRows(); i++) { // this loop finds the last placed token in the last column chosen (COUNTING UP)\r\n// if (whatsAtPos(i, c) == ' ') {\r\n// row = i - 1;\r\n// break;\r\n// }\r\n// }\r\n for(int i = getNumRows()-1; i >= 0; i--){ // this loop finds the last placed token in the last column chosen (COUNTING DOWN)\r\n if(whatsAtPos(i, c) != ' '){\r\n row = i;\r\n break;\r\n }\r\n }\r\n char player = whatsAtPos(row, c); // set temporary variable player to the last placed token\r\n\r\n if(checkHorizWin(row, c, player)){ // check for win horizontally\r\n return true;\r\n }\r\n if(checkVertWin(row, c, player)){ // check for win vertically\r\n return true;\r\n }\r\n else if(checkDiagWin(row, c, player)){ // check for win diagonally\r\n return true;\r\n }\r\n else{return false;} // return false if none of these are true\r\n }\r\n\r\n /**\r\n * @pre whatsAtPos == 'X', 'O', or ' '\r\n * @return true if board is full\r\n */\r\n default boolean checkTie() { // this function checks for a tie (if the board is full)\r\n int count = 0;\r\n for(int c = 0; c < getNumColumns(); c++) { // check the top of each column\r\n if (!checkIfFree(c)){ // if it is full, increment count\r\n count++;\r\n }\r\n }\r\n if(count == getNumColumns()){ // if count reaches the number of columns, all columns are full; it's tie\r\n return true; // return true\r\n }\r\n else{return false;} // if any columns are not full, then it is not a tie\r\n }\r\n}","private int Win_Move() {\n\t\tfinal int POSSIBLE_WIN = 8;\n\t\tint move = NO_MOVE;\n\t\tif(( gameBoard[TOP_LEFT] + gameBoard[TOP_CENTER] + gameBoard[TOP_RIGHT]) == POSSIBLE_WIN){\n\t\t\tif(gameBoard[TOP_LEFT] == EMPTY){\n\t\t\t\tmove = TOP_LEFT;\n\t\t\t}else if (gameBoard[TOP_CENTER] == EMPTY){\n\t\t\t\tmove = TOP_CENTER;\n\t\t\t}else if (gameBoard[TOP_RIGHT] == EMPTY){\n\t\t\t\tmove = TOP_RIGHT;\n\t\t\t}\n\t\t}else if((gameBoard[CTR_LEFT] + gameBoard[CTR_CENTER] + gameBoard[CTR_RIGHT]) == POSSIBLE_WIN){\n\t\t\tif(gameBoard[CTR_LEFT] == EMPTY){\n\t\t\t\tmove = CTR_LEFT;\n\t\t\t}else if (gameBoard[CTR_CENTER] == EMPTY){\n\t\t\t\tmove = CTR_CENTER;\n\t\t\t}else if (gameBoard[CTR_RIGHT] == EMPTY){\n\t\t\t\tmove = CTR_RIGHT;\n\t\t\t}\n\t\t}else if((gameBoard[BTM_LEFT] + gameBoard[BTM_CENTER] + gameBoard[BTM_RIGHT]) == POSSIBLE_WIN){\n\t\t\tif(gameBoard[BTM_LEFT] == EMPTY){\n\t\t\t\tmove = BTM_LEFT;\n\t\t\t}else if (gameBoard[BTM_CENTER] == EMPTY){\n\t\t\t\tmove = BTM_CENTER;\n\t\t\t}else if (gameBoard[BTM_RIGHT] == EMPTY){\n\t\t\t\tmove = BTM_RIGHT;\n\t\t\t}\n\t\t}else if((gameBoard[TOP_LEFT] + gameBoard[CTR_LEFT] + gameBoard[BTM_LEFT]) == POSSIBLE_WIN){\n\t\t\tif(gameBoard[TOP_LEFT] == EMPTY){\n\t\t\t\tmove = TOP_LEFT;\n\t\t\t}else if (gameBoard[CTR_LEFT] == EMPTY){\n\t\t\t\tmove = CTR_LEFT;\n\t\t\t}else if (gameBoard[BTM_LEFT] == EMPTY){\n\t\t\t\tmove = BTM_LEFT;\n\t\t\t}\n\t\t}else if((gameBoard[TOP_CENTER] + gameBoard[CTR_CENTER] + gameBoard[BTM_CENTER]) == POSSIBLE_WIN){\n\t\t\tif(gameBoard[TOP_CENTER] == EMPTY){\n\t\t\t\tmove = TOP_CENTER;\n\t\t\t}else if (gameBoard[CTR_CENTER] == EMPTY){\n\t\t\t\tmove = CTR_CENTER;\n\t\t\t}else if (gameBoard[BTM_CENTER] == EMPTY){\n\t\t\t\tmove = BTM_CENTER;\n\t\t\t}\n\t\t}else if((gameBoard[TOP_RIGHT] + gameBoard[CTR_RIGHT] + gameBoard[BTM_RIGHT]) == POSSIBLE_WIN){\n\t\t\tif(gameBoard[TOP_RIGHT] == EMPTY){\n\t\t\t\tmove = TOP_RIGHT;\n\t\t\t}else if (gameBoard[CTR_RIGHT] == EMPTY){\n\t\t\t\tmove = CTR_RIGHT;\n\t\t\t}else if (gameBoard[BTM_RIGHT] == EMPTY){\n\t\t\t\tmove = BTM_RIGHT;\n\t\t\t}\n\t\t}else if((gameBoard[TOP_LEFT] + gameBoard[CTR_CENTER] + gameBoard[BTM_RIGHT]) == POSSIBLE_WIN){\n\t\t\tif(gameBoard[TOP_LEFT] == EMPTY){\n\t\t\t\tmove = TOP_LEFT;\n\t\t\t}else if (gameBoard[CTR_CENTER] == EMPTY){\n\t\t\t\tmove = CTR_CENTER;\n\t\t\t}else if (gameBoard[BTM_RIGHT] == EMPTY){\n\t\t\t\tmove = BTM_RIGHT;\n\t\t\t}\n\t\t}else if((gameBoard[TOP_RIGHT] + gameBoard[CTR_CENTER] + gameBoard[BTM_LEFT]) == POSSIBLE_WIN){\n\t\t\tif(gameBoard[TOP_RIGHT] == EMPTY){\n\t\t\t\tmove = TOP_RIGHT;\n\t\t\t}else if (gameBoard[CTR_CENTER] == EMPTY){\n\t\t\t\tmove = CTR_CENTER;\n\t\t\t}else if (gameBoard[BTM_LEFT] == EMPTY){\n\t\t\t\tmove = BTM_LEFT;\n\t\t\t}\n\t\t}\n\t\treturn move;\n\t}","int checkWinner(char mark) {\n\t\tint row, col;\n\t\tint result = 0;\n\n\t\tfor (row = 0; result == 0 && row < 3; row++) {\n\t\t\tint row_result = 1;\n\t\t\tfor (col = 0; row_result == 1 && col < 3; col++)\n\t\t\t\tif (theBoard[row][col] != mark)\n\t\t\t\t\trow_result = 0;\n\t\t\tif (row_result != 0)\n\t\t\t\tresult = 1;\n\t\t}\n\n\t\t\n\t\tfor (col = 0; result == 0 && col < 3; col++) {\n\t\t\tint col_result = 1;\n\t\t\tfor (row = 0; col_result != 0 && row < 3; row++)\n\t\t\t\tif (theBoard[row][col] != mark)\n\t\t\t\t\tcol_result = 0;\n\t\t\tif (col_result != 0)\n\t\t\t\tresult = 1;\n\t\t}\n\n\t\tif (result == 0) {\n\t\t\tint diag1Result = 1;\n\t\t\tfor (row = 0; diag1Result != 0 && row < 3; row++)\n\t\t\t\tif (theBoard[row][row] != mark)\n\t\t\t\t\tdiag1Result = 0;\n\t\t\tif (diag1Result != 0)\n\t\t\t\tresult = 1;\n\t\t}\n\t\tif (result == 0) {\n\t\t\tint diag2Result = 1;\n\t\t\tfor (row = 0; diag2Result != 0 && row < 3; row++)\n\t\t\t\tif (theBoard[row][3 - 1 - row] != mark)\n\t\t\t\t\tdiag2Result = 0;\n\t\t\tif (diag2Result != 0)\n\t\t\t\tresult = 1;\n\t\t}\n\t\treturn result;\n\t}","public int evaluate(int[][] gameBoard) {\n for (int r = 0; r < 3; r++) {\n if (gameBoard[r][0] == gameBoard[r][1] && gameBoard[r][1] == gameBoard[r][2]) {\n if (gameBoard[r][0] == ai)\n return +10;\n else if (gameBoard[r][0] == human)\n return -10;\n }\n }\n // Checking for Columns for victory.\n for (int c = 0; c < 3; c++) {\n if (gameBoard[0][c] == gameBoard[1][c] && gameBoard[1][c] == gameBoard[2][c]) {\n //gameLogic.getWinType();\n if (gameBoard[0][c] == ai)\n return +10;\n else if (gameBoard[0][c] == human)\n return -10;\n }\n }\n // Checking for Diagonals for victory.\n if (gameBoard[0][0] == gameBoard[1][1] && gameBoard[1][1] == gameBoard[2][2]) {\n if (gameBoard[0][0] == ai)\n return +10;\n else if (gameBoard[0][0] == human)\n return -10;\n }\n if (gameBoard[0][2] == gameBoard[1][1] && gameBoard[1][1] == gameBoard[2][0]) {\n if (gameBoard[0][2] == ai)\n return +10;\n else if (gameBoard[0][2] == human)\n return -10;\n }\n // Else if none of them have won then return 0\n return 0;\n }","public int decideRandomMove() {\n return (int) (Math.random() * 4);\n }","public boolean isWon(int row, int column, char piece) {\n int matches = 0;\n int tempCol = column;\n int tempRow = row;\n //Check below\n if (row < 3) {\n for (int i = 1; board[row + i][column] == piece; i++) {\n if (i == 3) {\n return true;\n }\n }\n }\n //Check horizontal\n while (tempCol > 0 && board[row][tempCol - 1] == piece) {\n matches++;\n tempCol--;\n }\n tempCol = column;\n while (tempCol < 6 && board[row][tempCol + 1] == piece) {\n matches++;\n tempCol++;\n }\n if (matches >= 3) {\n return true;\n }\n matches = 0;\n tempCol = column;\n \n //Check left diagonal\n while(tempRow < 5 && tempCol > 0 && board[tempRow + 1][tempCol - 1] == piece) {\n matches++;\n tempRow++;\n tempCol--;\n }\n tempCol = column;\n tempRow = row;\n while (tempRow > 0 && tempCol < 6 && board[tempRow - 1][tempCol + 1] == piece) {\n matches++;\n tempRow--;\n tempCol++;\n }\n if (matches >= 3) {\n return true;\n }\n matches = 0;\n tempCol = column;\n tempRow = row;\n //Check right diagonal\n while(tempRow < 5 && tempCol < 6 && board[tempRow + 1][tempCol + 1] == piece) {\n matches++;\n tempRow++;\n tempCol++;\n }\n tempCol = column;\n tempRow = row;\n while (tempRow > 0 && tempCol > 0 && board[tempRow - 1][tempCol - 1] == piece) {\n matches++;\n tempRow--;\n tempCol--;\n }\n if (matches >= 3) {\n return true;\n }\n return false;\n\t}","public int corners1() {\n //above left\n if (board[0][1] != null && board[1][0] != null) {\n if (board[0][1].getPlayerNumber() != board[0][0].getPlayerNumber()\n && board[1][0].getPlayerNumber() != board[0][0].getPlayerNumber())\n return board[0][0].getPlayerNumber();\n }\n //left bottom\n if (board[0][board.length - 2] != null && board[1][board.length - 1] != null) {\n if (board[1][board.length - 1].getPlayerNumber() != board[0][board.length - 1].getPlayerNumber() &&\n board[0][board.length - 2].getPlayerNumber() != board[0][board.length - 1].getPlayerNumber())\n return board[0][board.length - 1].getPlayerNumber();\n }\n //right top\n if (board[board.length - 2][0] != null && board[board.length - 1][1] != null) {\n if (board[board.length - 1][1].getPlayerNumber() != board[board.length - 1][0].getPlayerNumber() &&\n board[board.length - 2][0].getPlayerNumber() != board[board.length - 1][0].getPlayerNumber())\n return board[board.length - 1][0].getPlayerNumber();\n }\n //right bottom\n if (board[board.length - 1][board.length - 2] != null && board[board.length - 2][board.length - 1] != null) {\n if (board[board.length - 2][board.length - 1].getPlayerNumber() !=\n board[board.length - 1][board.length - 1].getPlayerNumber() &&\n board[board.length - 1][board.length - 2].getPlayerNumber() !=\n board[board.length - 1][board.length - 1].getPlayerNumber()) {\n return board[board.length - 1][board.length - 1].getPlayerNumber();\n }\n }\n return -2;\n\n }","public final boolean checkForWin() {\r\n boolean result = false;\r\n String player = \"\";\r\n \r\n for (Rail rail : rails) {\r\n if (rail.isWinner()) {\r\n result = true;\r\n for(Tile tile : rail.getTiles()) {\r\n tile.setBackground(Color.GREEN);\r\n player = tile.getText();\r\n }\r\n if (player.equals(\"X\")) {\r\n winningPlayer = \"X\";\r\n this.xWins++;\r\n } else if (player.equals(\"0\")) {\r\n winningPlayer = \"0\";\r\n this.oWins++;\r\n }\r\n break;\r\n }\r\n }\r\n \r\n return result;\r\n }","public boolean isWinTurn() {\n for (int col = 0; col < mColsCount; col++) {\n if (isFourConnected(getCurrentPlayer(), 0, 1, 0, col, 0)\n || isFourConnected(getCurrentPlayer(), 1, 1, 0, col, 0)\n || isFourConnected(getCurrentPlayer(), -1, 1, 0, col, 0)) {\n hasWinner = true;\n return true;\n }\n }\n\n for (int row = 0; row < mRowsCount; row++) {\n if (isFourConnected(getCurrentPlayer(), 1, 0, row, 0, 0)\n || isFourConnected(getCurrentPlayer(), 1, 1, row, 0, 0)\n || isFourConnected(getCurrentPlayer(), -1, 1, row, mColsCount - 1, 0)) {\n hasWinner = true;\n return true;\n }\n }\n\n return false;\n }","public Result determineOutcome() {\n for (int row = 0; row < TicTacToeModel.BOARD_DIMENSION; row++) {\n if (rowScore[row] == TicTacToeModel.BOARD_DIMENSION){\n return Result.WIN;\n } else if (rowScore[row] == -TicTacToeModel.BOARD_DIMENSION) {\n return Result.LOSE;\n }\n }\n\n for (int col = 0; col < TicTacToeModel.BOARD_DIMENSION; col++) {\n if (colScore[col] == TicTacToeModel.BOARD_DIMENSION){\n return Result.WIN;\n } else if (colScore[col] == -TicTacToeModel.BOARD_DIMENSION) {\n return Result.LOSE;\n }\n }\n\n if (leftDiagScore == TicTacToeModel.BOARD_DIMENSION) return Result.WIN;\n if (rightDiagScore == TicTacToeModel.BOARD_DIMENSION) return Result.WIN;\n if (leftDiagScore == -TicTacToeModel.BOARD_DIMENSION) return Result.LOSE;\n if (rightDiagScore == -TicTacToeModel.BOARD_DIMENSION) return Result.LOSE;\n\n if (freeSpace == 0) return Result.DRAW;\n\n return Result.INCOMPLETE;\n }","private int gameState() {\n\t\t\n\t\tint gameNotOver = 0;\n\t\tint gameOverWinnerX = 1;\n\t\tint gameOverWinnerO = 2;\n\t\tint gameOverTie = 3;\n\t\t\n\t\t\n\t\t\n\t\t//Win Vertically \n\t\t// 0 3 6 , 1 4 7 , 2 5 8\n\t\t\t\t\n\t\t//Win Horizontally\n\t\t//0 1 2 , 3 4 5 , 6 7 8 \n\t\t\t\t\n\t\t//Win Diagonally\n\t\t// 0 4 8 , 2 4 6\n\t\t\t\t\n\t\t//Assuming it's an equal grid\n\t\t\t\t\n\t\tMark winningMark = null;\n\t\t\t\t\n\t\tboolean hasFoundWinner = false;\n\t\t\t\t\n\t\tint row = 0;\n\t\tint column = 0;\n\t\t\t\t\n\t\t//Horizontal Winner Test\n\t\t\t\t\n\t\twhile (!hasFoundWinner && row < ROW_COUNT) {\n\t\t\t\t\t\n\t\t\tMark[] markArray = new Mark[ROW_COUNT];\n\t\t\t\t\t\n\t\t\tint index = 0;\n\t\t\twhile (column < COLUMN_COUNT) {\n\t\t\t\t\t\n\t\t\t\tmarkArray[index] = getMark(row, column);\n\t\t\t\tcolumn ++;\n\t\t\t\tindex++;\n\t\t\t\t\t\t\n\t\t\t}\n\t\t\t\t\t\t\t\n\t\t\tif (allElementsEqual(markArray)) {\n\t\t\t\thasFoundWinner = true;\n\t\t\t\twinningMark = markArray[0];\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\t\n\t\t\tcolumn = 0;\n\t\t\trow++;\t\n\t\t\t\t\t\t\n\t\t}\n\t\t\t\t\n\t\tif (hasFoundWinner) {\n\t\t\tif (winningMark == Mark.X) {\n\t\t\t\treturn gameOverWinnerX;\n\t\t\t}\n\t\t\tif (winningMark == Mark.O) {\n\t\t\t\treturn gameOverWinnerO;\n\t\t\t}\n\t\t}\n\t\t\t\t\n\t\t// Vertical Winner Test\n\t\t\t\t\n\t\trow = 0;\n\t\tcolumn = 0;\n\n\t\twhile (!hasFoundWinner && column < COLUMN_COUNT) {\n\t\t\t\t\t\n\t\t\tMark[] markArray = new Mark[ROW_COUNT];\n\t\t\t\t\t\n\t\t\tint index = 0;\n\t\t\twhile (row < ROW_COUNT) {\n\t\t\t\t\t\n\t\t\t\tmarkArray[index] = getMark(row, column);\n\t\t\t\trow++;\n\t\t\t\tindex++;\n\t\t\t\t\t\t\n\t\t\t}\n\t\t\t\t\t\t\t\n\t\t\tif (allElementsEqual(markArray)) {\n\t\t\t\thasFoundWinner = true;\n\t\t\t\twinningMark = markArray[0];\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\t\n\t\t\trow = 0;\n\t\t\tcolumn++;\t\n\t\t\t\t\t\t\n\t\t}\n\t\t\t\t\n\t\tif (hasFoundWinner) {\n\t\t\tif (winningMark == Mark.X) {\n\t\t\t\treturn gameOverWinnerX;\n\t\t\t}\n\t\t\tif (winningMark == Mark.O) {\n\t\t\t\treturn gameOverWinnerO;\n\t\t\t}\n\t\t}\n\t\t\t\t\n\t\t//Diagonal Winner Test \"\\\"\n\t\t\t\t\n\t\trow = 0;\n\t\tcolumn = 0;\n\t\t\t\t\n\t\twhile (!hasFoundWinner && row < ROW_COUNT) {\n\t\t\t\t\t\n\t\t\tMark[] markArray = new Mark[COLUMN_COUNT];\n\t\t\t\t\t\n\t\t\tint index = 0;\n\t\t\t\t\t\n\t\t\twhile (row < ROW_COUNT) {\n\t\t\t\t\t\t\n\t\t\t\tmarkArray[index] = getMark(row, column);\n\t\t\t\trow++;\n\t\t\t\tcolumn++;\n\t\t\t\tindex++;\n\t\t\t\t\t\t\n\t\t\t}\n\t\t\t\t\t\n\t\t\tif (allElementsEqual(markArray)) {\n\t\t\t\thasFoundWinner = true;\n\t\t\t\twinningMark = markArray[0];\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t}\n\t\t\t\t\n\t\tif (hasFoundWinner) {\n\t\t\tif (winningMark == Mark.X) {\n\t\t\t\treturn gameOverWinnerX;\n\t\t\t}\n\t\t\tif (winningMark == Mark.O) {\n\t\t\t\treturn gameOverWinnerO;\n\t\t\t}\n\t\t}\n\t\t\t\t\n\t\t//Diagonal Test \"/\"\n\t\t\t\t\n\t\trow = 0;\n\t\tcolumn = COLUMN_COUNT - 1;\n\t\t\t\t\n\t\twhile (!hasFoundWinner && row < ROW_COUNT) {\n\t\t\t\t\t\n\t\t\tMark[] markArray = new Mark[COLUMN_COUNT];\n\t\t\t\t\t\n\t\t\tint index = 0;\n\t\t\t\t\t\n\t\t\twhile (row < ROW_COUNT) {\n\t\t\t\t\t\t\n\t\t\t\tmarkArray[index] = getMark(row, column);\n\t\t\t\trow++;\n\t\t\t\tcolumn--;\n\t\t\t\tindex++;\n\t\t\t\t\t\t\n\t\t\t}\n\t\t\t\t\t\n\t\t\tif (allElementsEqual(markArray)) {\n\t\t\t\thasFoundWinner = true;\n\t\t\t\twinningMark = markArray[0];\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\t\t\t\n\t\t}\n\t\t\n\t\tif (hasFoundWinner) {\n\t\t\tif (winningMark == Mark.X) {\n\t\t\t\treturn gameOverWinnerX;\n\t\t\t}\n\t\t\tif (winningMark == Mark.O) {\n\t\t\t\treturn gameOverWinnerO;\n\t\t\t}\n\t\t}\n\t\t\n\t\t// If there are no moves left, and there is no winner, game ends inn a tie \n\t\t\n\t\tboolean foundNoMove = false;\n\t\tfor (int i = 0; i < movesArray.length; i++) {\n\t\t\tif (movesArray[i] == NO_MOVE) {\n\t\t\t\tfoundNoMove = true;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\t\n\t\tif (!foundNoMove && !hasFoundWinner) {\n\t\t\treturn gameOverTie;\n\t\t}\n\t\t\n\t\t// If there is no winner and there are still moves left, game is not over\n\t\t\n\t\treturn gameNotOver;\n\t\t\n\t}","public boolean checkWin(int x, int y, int player)\n {\n int[][] area = new int[REGION_SIZE][REGION_SIZE];\n // Copy region of board to do win checking\n for (int i = REGION_START; i <= REGION_STOP; i++) {\n for (int j = REGION_START; j <= REGION_STOP; j++) {\n area[i - REGION_START][j - REGION_START] = getTile(x + i, y + j);\n }\n }\n \n //Check Horizontal\n int count = 0;\n for (int i = 0; i < REGION_SIZE; i++) {\n if (area[4][i] == player) {\n count++;\n } else {\n count = 0;\n }\n if (count == 5) {\n return true;\n }\n }\n //Check Vertical\n count = 0;\n for (int i = 0; i < REGION_SIZE; i++) {\n if (area[i][4] == player) {\n count++;\n } else {\n count = 0;\n }\n if (count == 5) {\n return true;\n }\n }\n //Check Diagonal '/'\n count = 0;\n for (int i = 0; i < REGION_SIZE; i++) {\n if (area[REGION_SIZE - 1 - i][i] == player) {\n count++;\n } else {\n count = 0;\n }\n if (count == 5) {\n return true;\n }\n }\n //Check Diagonal '\\'\n count = 0;\n for (int i = 0; i < REGION_SIZE; i++) {\n if (area[i][i] == player) {\n count++;\n } else {\n count = 0;\n }\n if (count == 5) {\n return true;\n }\n }\n return false;\n }","private static boolean checkWin() {\n\t\tfor (int i = 0; i < nRows; i++)\n\t\t\tfor (int j = 0; j < nColumns; j++) {\n\t\t\t\tCell cell = field.getCellAt(i, j);\n\t\t\t\tif (cell.hasMine() && !cell.hasSign())\t // if the cell has a mine\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// but has no flag\n\t\t\t\t\treturn false;\n\t\t\t\tif (cell.getFlag() >= 0 && !cell.getVisiblity()) // if the cell has no\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// mine in it but\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// it is not visible\n\t\t\t\t\treturn false;\n\t\t\t}\n\t\twin = gameOver = true;\n\t\treturn true;\n\t}","private boolean checkWin(Integer playerMove, Location loc)\n\t{\n\t\tboolean isWinAcross = true, isWinDown = true, isWinDiag1 = true, isWinDiag2 = true;\n\t\tfor (int col = 0; col < super.getRows() && isWinAcross; col++) //ends loop after isWinAcross is true\n\t\t\tif (grid[loc.getRow()][col] == null || !grid[loc.getRow()][col].equals(playerMove))\n\t\t\t\tisWinAcross = false;\n\t\tfor (int row = 0; row < super.getCols() && isWinDown; row++) //ends loop after isWinDown is true\n\t\t\tif (grid[row][loc.getCol()] == null || !grid[row][loc.getCol()].equals(playerMove))\n\t\t\t\tisWinDown = false;\n\t\tfor (int diagonal = 0; diagonal < super.getCols() && isWinDiag1; diagonal++) //ends loop after isWinDiag1 is true\n\t\t\tif (grid[diagonal][diagonal] == null || !grid[diagonal][diagonal].equals(playerMove))\n\t\t\t\tisWinDiag1 = false;\n\t\tfor (int diagonal2 = 0; diagonal2 < super.getCols() && isWinDiag2; diagonal2++) //ends loop after isWinDiag2 is true\n\t\t\tif (grid[getCols() - diagonal2 - 1][diagonal2] == null || !grid[getCols() - diagonal2 - 1][diagonal2].equals(playerMove))\n\t\t\t\tisWinDiag2 = false;\n\t\treturn isWinAcross || isWinDown || isWinDiag1 || isWinDiag2;\n\t}","public static boolean ai_NESW(int[][] gameGrid, int pieceTracker, int colNum) //Minor\n\t{\n\t\tint streakBonus = 0;\n\t\tcounter++; //Used to make variations in the AI move logic\n\t\tint rowNum = 0; //Used to store the row when finding the row we need to check for win condition\n\t\t//The loop below is used to find the row of last piece dropped to find exact position\n\t\tfor (int posTracker = 0; posTracker < ConnectFour.getRows(); posTracker++)\n\t\t{\n\t\t\t\n\t\t\tif (gameGrid[posTracker][colNum] != 0)\n\t\t\t{\n\t\t\t\trowNum = posTracker;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\tfor (int rowTracker = rowNum + 1, colTracker = colNum - 1; colTracker >= 0 && rowTracker < ConnectFour.getRows(); rowTracker++ ,colTracker--)\n\t\t{\t\n\t\t\tif (counter %2 == 0) //Used to make the switch in the AI move logic\n\t\t\t\tbreak;\n\t\t\tif (gameGrid[rowTracker][colTracker] == pieceTracker) //Increments the streak if consecutive pieces are found\n\t\t\t{\n\t\t\t\tstreakBonus++; \n\t\t\t\tif (streakBonus >= 2)\n\t\t\t\t{\n\t\t\t\t\tif (ConnectFour.getFlag()) //Used to prevent same AI move, causing overflow\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tif (colTracker - 1 > 0) //###\n\t\t\t\t\t{\t\n\t\t\t\t\t\tsetCoords(colTracker-1); //###\n\t\t\t\t\t\treturn true;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\telse\n\t\t\t\t{\n\t\t\t\t\tif (ConnectFour.getFlag()) //Used to prevent same AI move, causing overflow\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tif (colTracker - 2 > 0) //###\n\t\t\t\t\t{\t\n\t\t\t\t\t\tsetCoords(colTracker-2); //###\n\t\t\t\t\t\treturn true;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\telse \n\t\t\t\tstreakBonus = 0;\n\t\t}\n\t\tfor (int colTracker = colNum + 1, rowTracker = rowNum - 1; colTracker < ConnectFour.getCols() && rowTracker >= 0; rowTracker--, colTracker++)\n\t\t{\n\t\t\tif (gameGrid[rowTracker][colTracker] == pieceTracker) //Increments the streak if consecutive pieces are found\n\t\t\t{\n\t\t\t\tstreakBonus++;\n\t\t\t\tif (streakBonus >= 2)\n\t\t\t\t{\n\t\t\t\t\tif (ConnectFour.getFlag()) //Used to prevent same AI move, causing overflow\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tif (colTracker + 1 < ConnectFour.getCols()) //###\n\t\t\t\t\t{\t\n\t\t\t\t\t\tsetCoords(colTracker+1); //###\n\t\t\t\t\t\treturn true;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\telse\n\t\t\t\t{\n\t\t\t\t\tif (ConnectFour.getFlag()) //Used to prevent same AI move, causing overflow\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tif (colTracker + 2 < ConnectFour.getCols()) //###\n\t\t\t\t\t{\t\n\t\t\t\t\t\tsetCoords(colTracker+2); //###\n\t\t\t\t\t\treturn true;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\telse \n\t\t\t\tstreakBonus = 0;\n\t\t}\n\t\treturn false; //if steak is not found\n\t}","private boolean winCheck(int x, int y, char symbol){\n\t\t/* Horizontal */\n\t\tif(y>=2 && board[x][y-2]==symbol && board[x][y-1]==symbol && board[x][y]==symbol)\n\t\t\treturn true;\n\t\tif(y>=1 && y+1<size && board[x][y-1]==symbol && board[x][y]==symbol && board[x][y+1]==symbol)\n\t\t\treturn true;\n\t\tif(y+2<size && board[x][y]==symbol && board[x][y+1]==symbol && board[x][y+2]==symbol)\n\t\t\treturn true;\n\t\t\n\t\t/* Vertical */\n\t\tif(x>=2 && board[x-2][y]==symbol && board[x-1][y]==symbol && board[x][y]==symbol)\n\t\t\treturn true;\n\t\tif(x>=1 && x+1<size && board[x-1][y]==symbol && board[x][y]==symbol && board[x+1][y]==symbol)\n\t\t\treturn true;\n\t\tif(x+2<size && board[x][y]==symbol && board[x+1][y]==symbol && board[x+2][y]==symbol)\n\t\t\treturn true;\n\t\t\n\t\t/* Main Diagonal */\n\t\tif(x>=2 && y>=2 && board[x-2][y-2]==symbol && board[x-1][y-1]==symbol && board[x][y]==symbol)\n\t\t\treturn true;\n\t\tif(x>=1 && x+1<size && y>=1 && y+1<size && board[x-1][y-1]==symbol && board[x][y]==symbol && board[x+1][y+1]==symbol)\n\t\t\treturn true;\n\t\tif(x+2<size && y+2<size && board[x][y]==symbol && board[x+1][y+1]==symbol && board[x+2][y+2]==symbol)\n\t\t\treturn true;\n\t\t\n\t\t/* Anti Diagonal */\n\t\tif(x>=2 && y+2<size && board[x-2][y+2]==symbol && board[x-1][y+1]==symbol && board[x][y]==symbol)\n\t\t\treturn true;\n\t\tif(x>=1 && x+1<size && y>=1 && y+1<size && board[x+1][y-1]==symbol && board[x][y]==symbol && board[x-1][y+1]==symbol)\n\t\t\treturn true;\n\t\tif(x+2<size && y>=2 && board[x][y]==symbol && board[x+1][y-1]==symbol && board[x+2][y-2]==symbol)\n\t\t\treturn true;\n\t\t\n\t\treturn false;\n\t}","public boolean playerOneWin()\n\t{\n\t\tif( (board[ 1 ] == \"X\") && (board[ 2 ] == \"X\") && (board[ 3 ] == \"X\") )\n\t\t{\n\t\t\treturn true;\n\t\t} // end of if( (board[ 1 ] == \"X\") && (board[ 2 ] == \"X\") && (board[ 3 ] == \"X\") )\n\t\t\n\t\telse if( (board[ 4 ] == \"X\") && (board[ 5 ] == \"X\") && (board[ 6 ] == \"X\") )\n\t\t{\n\t\t\treturn true;\n\t\t} // end of if( (board[ 4 ] == \"X\") && (board[ 5 ] == \"X\") && (board[ 6 ] == \"X\") ) \n\t\t\n\t\telse if( (board[ 7 ] == \"X\") && (board[ 8 ] == \"X\") && (board[ 9 ] == \"X\") )\n\t\t{\n\t\t\treturn true;\n\t\t} // end of if( (board[ 7 ] == \"X\") && (board[ 8 ] == \"X\") && (board[ 9 ] == \"X\") )\n\t\t\n\t\telse if( (board[ 1 ] == \"X\") && (board[ 4 ] == \"X\") && (board[ 7 ] == \"X\") )\n\t\t{\n\t\t\treturn true;\n\t\t} // end of if( (board[ 1 ] == \"X\") && (board[ 4 ] == \"X\") && (board[ 7 ] == \"X\") )\n\t\t\n\t\telse if( (board[ 2 ] == \"X\") && (board[ 5 ] == \"X\") && (board[ 8 ] == \"X\") )\n\t\t{\n\t\t\treturn true;\n\t\t} // end of if( (board[ 2 ] == \"X\") && (board[ 5 ] == \"X\") && (board[ 8 ] == \"X\") )\n\t\t\n\t\telse if( (board[ 3 ] == \"X\") && (board[ 6 ] == \"X\") && (board[ 9 ] == \"X\") )\n\t\t{\n\t\t\treturn true;\n\t\t} // end of if( (board[ 3 ] == \"X\") && (board[ 6 ] == \"X\") && (board[ 9 ] == \"X\") )\n\t\t\n\t\telse if( (board[ 1 ] == \"X\") && (board[ 5 ] == \"X\") && (board[ 9 ] == \"X\") )\n\t\t{\n\t\t\treturn true;\n\t\t}// end of if( (board[ 1 ] == \"X\") && (board[ 5 ] == \"X\") && (board[ 9 ] == \"X\") )\n\t\t\n\t\telse if( (board[ 7 ] == \"X\") && (board[ 5 ] == \"X\") && (board[ 9 ] == \"X\") )\n\t\t{\n\t\t\treturn true;\n\t\t} // end of if( (board[ 7 ] == \"X\") && (board[ 5 ] == \"X\") && (board[ 9 ] == \"X\") )\n\t\t\n\t\treturn false;\n\t}","public int performDuel(){\n Random rand = new Random();\n int intRand;\n intRand = rand(6);\n while(this.engine.getGameInformation().cards[intRand][intRand] == 0 ){\n intRand = rand(6);\n }\n return intRand;\n }","public static char playerHasWon(char[][] board) {\r\n\r\n\t //Check each row\r\n\t for(int i = 0; i < 3; i++) {\r\n\t if(board[i][0] == board[i][1] && board[i][1] == board[i][2] && board[i][0] != '-') {\r\n\t return board[i][0];\r\n\t }\r\n\t }\r\n\r\n\t //Check each column\r\n\t for(int j = 0; j < 3; j++) {\r\n\t if(board[0][j] == board[1][j] && board[1][j] == board[2][j] && board[0][j] != '-') {\r\n\t return board[0][j];\r\n\t }\r\n\t }\r\n\r\n\t //Check the diagonals\r\n\t if(board[0][0] == board[1][1] && board[1][1] == board[2][2] && board[0][0] != '-') {\r\n\t return board[0][0];\r\n\t }\r\n\t if(board[2][0] == board[1][1] && board[1][1] == board[0][2] && board[2][0] != '-') {\r\n\t return board[2][0];\r\n\t }\r\n\r\n\t //Otherwise nobody has not won yet\r\n\t return ' ';\r\n\t }","public int checkWin(Piece piece) {\n\t\t//check winning and losing\n\t\tint color=piece.getColor();\n\t\tif(piece.isRabbit()) {\n\t\t\tif(((Rabbit)piece).isOtherSide()) {\n\t\t\t\treturn color;\n\t\t\t}\n\t\t}\n\t\tif(rabbitcount[color]<=0) {\n\t\t\treturn 3-color;//the opponent wins\n\t\t}\n\t\treturn 0;\n\t}","public static void turnOfComp() {\n int row, col, num;\n\n row = getRandCell();\n col = getRandCell();\n while (isTakenCell(row, col)) {\n row = getRandCell();\n col = getRandCell();\n }\n\n num = getRandOdd();\n while (isUsedNumber(num)) {\n num = getRandOdd();\n }\n board[row - 1][col - 1] = num;\n System.out.print(\"\\nComputer's turn.\\n\"); // Print to tell the user that the board below is from computer's turn\n printBoard();\n }","boolean horizontalWin(){\n\t\tint match_counter=1;\n\t\tboolean flag=false;\n\t\tfor(int row=0;row<9;row++){\n\t\t\tfor(int column=0;column<25;column++){\n\t\t\t\tif(Board[row][column]!='\\u0000'){\n\t\t\t\t\tif(Board[row][column]!='O'){\n\t\t\t\t\t\tif (Board[row][column]==Board[row][column+1]){\n\t\t\t\t\t\t\tmatch_counter++;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\telse\n\t\t\t\t\t\t\tflag = false;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(match_counter==4){\n\t\t\t\t\tflag=true;\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\t\t\tif (flag == true)\n\t\t\t\tbreak;\n\t\t}\n\t\treturn flag;\n\t}","private boolean checkBoardVictory() {\n boolean topRowStatus = checkRowVictory(getTopRow()) != 0;\n boolean midRowStatus = checkRowVictory(getMidRow()) != 0;\n boolean vertMidStatus = checkRowVictory(getVerticalMidRow()) != 0;\n boolean lowRowStatus = checkRowVictory(getLowRow()) != 0;\n boolean leftMidStatus = checkRowVictory(getVerticalLeftRow()) != 0;\n boolean rightMidStatus = checkRowVictory(getVerticalRightRow()) != 0;\n\n return topRowStatus || midRowStatus || vertMidStatus || lowRowStatus || leftMidStatus\n || rightMidStatus;\n }","public boolean hasWinner() {\n\t\tint[][] board = myGameBoard.getBoard();\n\t\t\n\t\t// check for vertical win\n\t\tfor(int i = 0; i < board[0].length; i++) {\n\t\t\tfor(int j = 0; j < board.length - 3; j++) {\n\t\t\t\tint thisSlot = board[j][i];\n\t\t\t\tif(thisSlot == GameBoard.EMPTY) continue;\n\t\t\t\t\n\t\t\t\tif(thisSlot == board[j+1][i]) {\n\t\t\t\t\tif(thisSlot == board[j+2][i]) {\n\t\t\t\t\t\tif(thisSlot == board[j+3][i]) {\n\t\t\t\t\t\t\treturn true;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t\n\t\t// check for horizontal win\n\t\tfor(int i = 0; i < board[0].length - 3; i++) {\n\t\t\tfor(int j = 0; j < board.length; j++) {\n\t\t\t\tint thisSlot = board[j][i];\n\t\t\t\tif(thisSlot == GameBoard.EMPTY) continue;\n\t\t\t\t\n\t\t\t\tif(thisSlot == board[j][i+1]) {\n\t\t\t\t\tif(thisSlot == board[j][i+2]) {\n\t\t\t\t\t\tif(thisSlot == board[j][i+3]) {\n\t\t\t\t\t\t\treturn true;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t\n\t\t// check for diagonal win left to right, upwards\n\t\tfor(int i = 0; i < board[0].length - 3; i++) {\n\t\t\tfor(int j = 3; j < board.length; j++) {\n\t\t\t\tif(board[j][i] != GameBoard.EMPTY) {\n\t\t\t\t\tint thisSlot = board[j][i];\n\t\t\t\t\t\n\t\t\t\t\tif(board[j-1][i+1] == thisSlot) {\n\t\t\t\t\t\tif(board[j-2][i+2] == thisSlot) {\n\t\t\t\t\t\t\tif(board[j-3][i+3] == thisSlot) {\n\t\t\t\t\t\t\t\treturn true;\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}\n\t\t\t}\n\t\t}\n\t\t\n\t\t// check for diagonal win right to left, upwards\n\t\tfor(int i = 3; i < board[0].length; i++) {\n\t\t\tfor(int j = 3; j < board.length; j++) {\n\t\t\t\tif(board[j][i] != GameBoard.EMPTY) {\n\t\t\t\t\tint thisSlot = board[j][i];\n\t\t\t\t\t\n\t\t\t\t\tif(board[j-1][i-1] == thisSlot) {\n\t\t\t\t\t\tif(board[j-2][i-2] == thisSlot) {\n\t\t\t\t\t\t\tif(board[j-3][i-3] == thisSlot) {\n\t\t\t\t\t\t\t\treturn true;\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}\n\t\t\t}\n\t\t}\n\t\t\n\t\treturn false;\n\t}","public abstract Chip checkWinner();","public boolean getWin() {\n if (targetDistance == 25) {\n if (missDistance <= 1 && missDistance >= -1) { //checks 25m win\n return true;\n }\n else {\n return false;\n }\n }\n else if (targetDistance == 50) { //checks 50m win\n if (missDistance <= 2 && missDistance >= -2) {\n return true;\n }\n else {\n return false;\n }\n }\n else { //checks 100m win\n if (missDistance <= 3 && missDistance >= -3) {\n return true;\n }\n else {\n return false;\n }\n }\n }","public TileState choose(int row, int column) {\n if (playerOneTurn){\n if (board[row][column] == TileState.BLANK) {\n playerOneTurn = false;\n movesPlayed++;\n board[row][column] = TileState.CROSS;\n return TileState.CROSS;\n } else {\n return TileState.INVALID;\n }\n } else {\n if (board[row][column] == TileState.BLANK) {\n playerOneTurn = true;\n movesPlayed++;\n board[row][column] = TileState.CIRCLE;\n return TileState.CIRCLE;\n } else {//(board[row][column] != TileState.BLANK) {\n return TileState.INVALID;\n }\n }\n }","private boolean winningBoard(char[][] board){\n for(int i = 0; i < boardHeight; i++ ){\n for(int j = 0; j < boardWidth; j++) {\n\n //if white was made it to the other side\n if(board[i][j] == 'P' && i == 0){\n return true;\n }\n\n //if black has made it to the other side\n if(board[i][j] == 'p' && i == boardHeight -1){\n return true;\n }\n }\n }\n //no winners\n return false;\n }","public boolean isWinner(int player) {\n\n\t\tint winnerCounter1 = 0;\n\t\tint winnerCounter2 = 0;\n\t\tint winnerCounter3 = 0;\n\t\tint delta = 0;\n\n//\t\t * grid [size][size] där size = 4;\n//\t\t * for (int x = 0; x < grid.length; x++)\n//\t\t * for (int y = 0; y < grid[x].length; y++)\n//\t\t * Här förklarar jag hur funkar de här två forloop:\n//\t\t * nummert efter siffran är indexet\n//\t\t * X0Y0 X1Y0 X2Y0 X3Y0\n//\t\t * X0Y1 X1Y1 X2Y1 X3Y1\n//\t\t * X0Y2 X1Y2 X2Y2 X3Y2\n//\t\t * X0Y3 X1Y3 X2Y3 X3Y3\n\n\t\tfor (int x = 0; x < getSize(); x++) {\n\t\t\tfor (int y = 0; y < getSize(); y++) {\n\t\t\t\tif (grid[y][x] == player)\n\t\t\t\t\twinnerCounter1++;\n\t\t\t\telse\n\t\t\t\t\twinnerCounter1 = 0;\n\t\t\t\tif (winnerCounter1 >= INROW) {\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\n\t\t\t\tif (grid[x][y] == player)\n\t\t\t\t\twinnerCounter2++;\n\t\t\t\telse\n\t\t\t\t\twinnerCounter2 = 0;\n\t\t\t\tif (winnerCounter2 >= INROW) {\n\t\t\t\t\tSystem.out.println(\"2\");\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t}\n\t\t\twinnerCounter1 = 0;\n\t\t\twinnerCounter2 = 0;\n\t\t}\n\n\t\tfor (int x = 0; x < getSize(); x++) { // diagonally\n\t\t\tfor (int y = 0; y < getSize(); y++) {\n\t\t\t\twhile (x + delta < grid.length - 1 && y + delta < grid.length - 1) {\n\t\t\t\t\tif (grid[x + delta][y + delta] == player) {\n\t\t\t\t\t\twinnerCounter3++;\n\t\t\t\t\t\tdelta++;\n\t\t\t\t\t\tif (winnerCounter3 == INROW) {\n\t\t\t\t\t\t\treturn true;\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\twinnerCounter3 = 0;\n\t\t\t\t\t\tdelta++;\n\t\t\t\t\t}\n\n\t\t\t\t}\n\t\t\t\twinnerCounter3 = 0;\n\t\t\t\tdelta = 0;\n\t\t\t\twhile (x - delta >= 0 && y + delta < grid.length - 1) {\n\t\t\t\t\tif (grid[x - delta][y + delta] == player) {\n\t\t\t\t\t\twinnerCounter3++;\n\t\t\t\t\t\tdelta++;\n\t\t\t\t\t\tif (winnerCounter3 == INROW) {\n\t\t\t\t\t\t\treturn true;\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\twinnerCounter3 = 0;\n\t\t\t\t\t\tdelta++;\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\t\t}\n\t\treturn false;\n\n\t}","public ArrayList<Integer> compChoice(ArrayList<ArrayList<String>> board) {\n // winning move available\n if (this.aboutToWin(board, 1) != null) {\n return this.aboutToWin(board, 1);\n\n // threat winning pay\n } else if (playerCanWin(board) != null) {\n return playerCanWin(board);\n\n // center square \n } else if (board.size() % 2 == 1 && board.get(board.size()/2).get(board.size()/2).isEmpty()) {\n return new ArrayList<Integer>(Arrays.asList(board.size()/2, board.size()/2));\n \n // random\n } else {\n Random rand = new Random();\n String text = \"temp\";\n int r1 = 0, r2 = 0;\n while (!text.isEmpty()) {\n r1 = rand.nextInt(board.size());\n r2 = rand.nextInt(board.size());\n text = board.get(r1).get(r2);\n }\n return new ArrayList<Integer>(Arrays.asList(r1, r2));\n }\n }","private Boolean canWinInRow(PentagoBoard b, int row, Color who) {\n \tint amount=0;\n \tfor(int i=0; i<b.getSize(); i++) {\n\t\t\tif(b.getState(i,row) == Color.EMPTY || b.getState(i,row) == who) {\n\t\t\t\tamount++;\n\t\t\t}\n\t\t\telse\n\t\t\t\tamount=0;\n \t}\n \tif(amount>4)\n \t\treturn true;\n \telse\n \t\treturn false;\n }","boolean isWinner() {\n if(checkTopLeftDownDiag('X') || checkTopLeftDownDiag('O')) {\n return true;\n } else if (checkBottomLeftUpDiag('X') || checkBottomLeftUpDiag('O')) {\n return true;\n } else if (checkRows('X') || checkRows('O')){\n return true;\n }\n else if (checkColumns('X') || checkColumns('O')){\n return true;\n }\n\n return false;\n }","private boolean checkDiagonalWin(BoardPosition lastPos){\r\n int i, j, k, countTop, countBottom;\r\n int check = 5;\r\n\r\n //checking for diagonals from top to bottom\r\n for(i = 0; i < (yMax-yMax)+5; i++){\r\n for(j = 0; j < (xMax / 2); j++){\r\n countTop = 0;\r\n for(k = 0; k < check; k++){\r\n if(grid[i+k][j+(2*k)] == lastPos.getPlayer()) {\r\n countTop++;\r\n }\r\n }\r\n if(countTop == win) {\r\n return true;\r\n }\r\n }\r\n }\r\n\r\n //checking for diagonals from bottom to top\r\n for(i = yMax-1; i > (yMax-yMax)+3; i--){\r\n for(j = 0; j < (xMax / 2); j++){\r\n countBottom = 0;\r\n for(k = 0; k < check; k++){\r\n if(grid[i-k][j+(2*k)] == lastPos.getPlayer()) {\r\n countBottom++;\r\n }\r\n }\r\n if(countBottom == win) {\r\n return true;\r\n }\r\n }\r\n }\r\n\r\n return false;\r\n }","public void challengeMove(){\n int maxOutcome = -1;\n int returnIndex = -1;\n Hole lastHole;\n Hole selectedHole;\n ArrayList<Hole> availableHoles = availableMoves(nextToPlay);\n for(int i = 0; i < availableHoles.size(); i++){\n selectedHole = availableHoles.get(i);\n lastHole = holes[(selectedHole.getHoleIndex() + selectedHole.getNumberOfKoorgools() - 1) % 18];\n if(lastHole.getOwner() != nextToPlay){\n int numOfKorgools = lastHole.getNumberOfKoorgools() +1;\n if(numOfKorgools == 3 && !nextToPlay.hasTuz()){\n int otherTuzIndex = getPlayerTuz(Side.WHITE);\n if(otherTuzIndex == -1 || ((otherTuzIndex + 9) != lastHole.getHoleIndex())) {\n redistribute(selectedHole.getHoleIndex());\n return;\n }\n redistribute(selectedHole.getHoleIndex());\n return;\n }\n if(numOfKorgools % 2 == 0 && numOfKorgools > maxOutcome){\n maxOutcome = numOfKorgools;\n returnIndex = selectedHole.getHoleIndex();\n }\n }\n }\n if(returnIndex <= -1){\n randomMove();\n return;\n }\n redistribute(returnIndex);\n }","public Winner whoWins(){\r\n\r\n /* transfer the matrix to an array */\r\n Sign[] flatBoard = flattenBoard();\r\n\r\n /* check if someone has won */\r\n if (CompPlayer.compWon(flatBoard))\r\n return Winner.COMPUTER;\r\n else if (CompPlayer.playerWon(flatBoard))\r\n return Winner.PLAYER;\r\n else\r\n return Winner.NON;\r\n }","private boolean hasRowWin() {\n for (int i = 0; i < rows; i++) {\n for (int j = 0; j < cols; j++) {\n if (getBoard()[i][j] != null) {\n boolean rowWin = rowHasFour(i, j);\n if (rowWin) {\n return true;\n }\n\n }\n }\n }\n return false;\n }","private void checkForPlayerChance()\n\t\t\t{\n\t\t\t\tf = false;\n\t\t\t\tfor (j = 0; j < 8; ++j)\n\t\t\t\t\t{\n\t\t\t\t\t\tif (win[j] == 2 && lose[j] == 0)\n\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\tf = true;\n\t\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\t\t\t\tif (f == false)\n\t\t\t\t\tj = 10;\n\n\t\t\t}","static int waysToGiveACheck(char[][] board) {\n\t\tint[] pawnPos = new int[2];\n\t\tint[] bkPos = new int[2];\n\t\tint[] wkPos = new int[2];\n\t\tint[] forthPos = new int[2];\n\t\tchar fourth = 'x';\n\t\tint answerCount = 0;\n\t\tint hashCount = 0;\n\t\tfor(int board_i = 0; board_i < 8; board_i++){\n\t\t\tfor(int board_j = 0; board_j < 8; board_j++){\n\t\t\t\tswitch(board[board_i][board_j]){\n\t\t\t\tcase 35:\n\t\t\t\t\thashCount++;\n\t\t\t\t\tbreak;\n\t\t\t\tcase 80:\n\t\t\t\t\t{pawnPos[0] = board_i;\n\t\t\t\t\tpawnPos[1] = board_j;\n\t\t\t\t\tbreak;}\n\t\t\t\tcase 107:\n\t\t\t\t\t{bkPos[0] = board_i;\n\t\t\t\t\tbkPos[1] = board_j;\n\t\t\t\t\tbreak;}\n\t\t\t\tcase 75:\n\t\t\t\t\t{wkPos[0] = board_i;\n\t\t\t\t\twkPos[1] = board_j;\n\t\t\t\t\tbreak;}\n\t\t\t\tdefault:\n\t\t\t\t\t{forthPos[0] = board_i;\n\t\t\t\t\tforthPos[1] = board_j;\n\t\t\t\t\tfourth = board[board_i][board_j];\n\t\t\t\t\tbreak;}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tint xdistPk = Math.abs(pawnPos[0] - bkPos[0]);\n\t\tint ydistPk = Math.abs(pawnPos[1] - bkPos[1]);\n\n\t\tif(xdistPk == ydistPk)\n\t\t\tanswerCount = answerCount+2;\n\t\tif(xdistPk==0)\n\t\t\tanswerCount++;\n\t\tif(ydistPk ==0)\n\t\t\tanswerCount++;\n\t\tif((xdistPk == 2 && ydistPk==1) || (xdistPk == 1 && ydistPk==2) )\n\t\t\tanswerCount++;\n\n\t\treturn answerCount;\n\n\t}","public void startSinglePlayerGame() {\n\n Scanner scanner = new Scanner(System.in);\n\n while (true) {\n\n //show map.\n printMap();\n //show scoreboard.\n displayScoreBoard();\n\n System.out.println();\n System.out.println(\"Choose your cell :\");\n System.out.println(\"------------------\");\n System.out.println();\n\n //enter column.\n System.out.println(\"Column (from A-H) : \");\n String column = scanner.next();\n\n //enter row.\n System.out.println(\"Row (from 1-8) : \");\n int row = scanner.nextInt();\n\n //set player 1.\n setplayer1('●');\n\n //call move method.\n move(column.charAt(0), row);\n\n if (!gameOver()) {\n endGame();\n return;\n }\n String chars = \"ABCDEFGH\";\n\n //set player 2.\n setplayer1('◯');\n //find a random column and row.\n while (true) {\n Random random = new Random();\n int column3 = 0;\n char column2 = chars.charAt(random.nextInt(chars.length()));\n int row2 = random.nextInt(8);\n\n //change char to number.\n if (column2 == 'A') column3 = 0;\n if (column2 == 'B') column3 = 1;\n if (column2 == 'C') column3 = 2;\n if (column2 == 'D') column3 = 3;\n if (column2 == 'E') column3 = 4;\n if (column2 == 'F') column3 = 5;\n if (column2 == 'G') column3 = 6;\n if (column2 == 'H') column3 = 7;\n\n //check if the random block is allowed or not.\n if (isAllowedMove(row2, column3) && isBlockEmpty(row2, column3)) {\n System.out.println();\n System.out.println(\"Computer choosed cell in Column <\" + column2 + \"> and Row <\" + (row2 + 1) + \">\");\n System.out.println();\n move(column2, row2 + 1);\n break;\n }\n }\n //check end game.\n if (!gameOver()) {\n System.out.println();\n printMap();\n displayScoreBoard();\n endGame();\n return;\n }\n }\n\n }","private boolean checkIfGameIsWon() {\n\n //loop through rows\n for(int i = 0; i < NUMBER_OF_ROWS; i++) {\n //gameIsWon = this.quartoBoard.checkRow(i);\n if (this.quartoBoard.checkRow(i)) {\n System.out.println(\"Win via row: \" + (i) + \" (zero-indexed)\");\n return true;\n }\n\n }\n //loop through columns\n for(int i = 0; i < NUMBER_OF_COLUMNS; i++) {\n //gameIsWon = this.quartoBoard.checkColumn(i);\n if (this.quartoBoard.checkColumn(i)) {\n System.out.println(\"Win via column: \" + (i) + \" (zero-indexed)\");\n return true;\n }\n\n }\n\n //check Diagonals\n if (this.quartoBoard.checkDiagonals()) {\n System.out.println(\"Win via diagonal\");\n return true;\n }\n\n return false;\n }","private boolean isWinner(byte player) {\n for (int row = 0; row <= 2; row++) {\n if (board[row][0] == player && board[row][1] == player && board[row][2] == player) {\n return true;\n }\n }\n for (int column = 0; column <= 2; column++) {\n if (board[0][column] == player && board[1][column] == player && board[2][column] == player) {\n return true;\n }\n }\n if (board[0][0] == player && board[1][1] == player && board[2][2] == player) {\n return true;\n } else if (board[0][2] == player && board[1][1] == player && board[2][0] == player) {\n return true;\n } else {\n return false;\n }\n }","public CellSigns gameWinner(){\n for (int i = 0; i < size; i++) {\n var firstSign = gameField[i][0].getCurrentSign();\n int j;\n for (j = 1; j < size; j++) {\n var currentSign = gameField[i][j].getCurrentSign();\n if(firstSign !=currentSign)\n break;\n }\n if(j == size)\n return firstSign;\n }\n\n //Check vertical lines\n for (int j = 0; j < size; j++) {\n var firstSign = gameField[0][j].getCurrentSign();\n int i;\n for (i = 1; i < size; i++) {\n var currentSign = gameField[i][j].getCurrentSign();\n if(firstSign !=currentSign)\n break;\n }\n if(i == size)\n return firstSign;\n }\n\n //Check diagonal lines\n\n var mainDiagonalSign = gameField[0][0].getCurrentSign();\n int i;\n for (i = 1; i < size; i++) {\n if(mainDiagonalSign != gameField[i][i].getCurrentSign())\n break;\n }\n if(i == size)\n return mainDiagonalSign;\n\n var secondaryDiagonalSign = gameField[0][size-1].getCurrentSign();\n for (i = 1; i < size; i++) {\n if(secondaryDiagonalSign!= gameField[i][size-1-i].getCurrentSign())\n break;\n }\n if(i==size)\n return secondaryDiagonalSign;\n\n //No winner\n return CellSigns.EMPTY;\n }"],"string":"[\n \"private int checkWinner() {\\n if (this.turnCount >= 2) {\\n int colWin = this.checkColumn();\\n if (colWin > 0) {\\n return colWin;\\n }\\n\\n int rowWin = this.checkRow();\\n if (rowWin > 0) {\\n return rowWin;\\n }\\n\\n int diagWin = checkDiagonal();\\n if (diagWin > 0) {\\n return diagWin;\\n }\\n }\\n return 0;\\n }\",\n \"public Player checkWin ()\\n {\\n //checks rows\\n for (int row = 0; row < 3; row++)\\n if (getGridElement(row, 0).getPlayer() == getGridElement(row, 1).getPlayer() &&\\n getGridElement(row, 1).getPlayer() == getGridElement(row, 2).getPlayer() &&\\n getGridElement(row, 0).getPlayer() != Player.NONE)\\n return getGridElement(row, 0).getPlayer();\\n\\n //checks columns\\n for (int column = 0; column < 3; column++)\\n if (getGridElement(0, column).getPlayer() == getGridElement(1, column).getPlayer() &&\\n getGridElement(1, column).getPlayer() == getGridElement(2, column).getPlayer() &&\\n getGridElement(0, column).getPlayer() != Player.NONE)\\n return getGridElement(0, column).getPlayer();\\n\\n //checks diagonals\\n if (getGridElement(0, 0).getPlayer() == getGridElement(1, 1).getPlayer() &&\\n getGridElement(1, 1).getPlayer() == getGridElement(2, 2).getPlayer() &&\\n getGridElement(0, 0).getPlayer() != Player.NONE)\\n return getGridElement(0, 0).getPlayer();\\n if (getGridElement(2, 0).getPlayer() == getGridElement(1, 1).getPlayer() &&\\n getGridElement(1, 1).getPlayer() == getGridElement(0, 2).getPlayer() &&\\n getGridElement(0, 0).getPlayer() != Player.NONE)\\n return getGridElement(2, 0).getPlayer();\\n\\n return Player.NONE;\\n }\",\n \"private int[] nextColWin(){ \\r\\n\\t\\tfor (int r=0; r<3; r++){ \\r\\n\\t\\t\\tif (board[0][r] == board[1][r] && board[2][r] == '-' && board[0][r] != '-'){\\r\\n\\t\\t\\t\\tcolWin[0] = 2;\\r\\n\\t\\t\\t\\tcolWin[1] = r;\\r\\n\\t\\t\\t\\treturn colWin;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\telse if (board[1][r] == board[2][r] && board[0][r] == '-' && board[0][r] != '-'){\\r\\n\\t\\t\\t\\tcolWin[0] = 0;\\r\\n\\t\\t\\t\\tcolWin[1] = r;\\r\\n\\t\\t\\t\\treturn colWin;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\telse if (board[0][r] == board[2][r] && board[1][r] == '-' && board[0][r] != '-'){\\r\\n\\t\\t\\t\\tcolWin[0] = 1;\\r\\n\\t\\t\\t\\tcolWin[1] = r;\\r\\n\\t\\t\\t\\treturn colWin;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\treturn colWin;\\r\\n\\t\\t\\r\\n\\t}\",\n \"public int checkForWin() \\r\\n {\\r\\n \\twinner = null;\\r\\n \\tint winrole = -1;\\r\\n \\tif(isBoardFull()){\\r\\n \\t\\tint white = 0;\\r\\n \\t\\tint black = 0;\\r\\n\\t\\t\\tfor(int i = 0; i < boardsize; ++i){\\r\\n\\t\\t\\t\\tfor(int j = 0; j<boardsize; ++j){\\r\\n\\t\\t\\t\\t\\tif(board[i][j] == 0){\\r\\n\\t\\t\\t\\t\\t\\twhite++;\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\telse if(board[i][j] == 1){\\r\\n\\t\\t\\t\\t\\t\\tblack++;\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tif(white > black){\\r\\n\\t\\t\\t\\twinrole = 0;\\r\\n\\t\\t\\t\\twinner = agent[winrole];\\r\\n\\t\\t\\t}\\t\\r\\n\\t\\t\\telse if(black > white){\\r\\n\\t\\t\\t\\twinrole = 1;\\r\\n\\t\\t\\t\\twinner = agent[winrole];\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\telse{\\r\\n\\t\\t\\t\\twinrole=2;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\treturn winrole;\\r\\n \\t}\\r\\n \\treturn -1;\\r\\n }\",\n \"@Override\\n public int getWinner() {\\n /*\\n * To please the test as well as the game\\n * Temporarily change the turn colour\\n */\\n int temp;\\n if (whoseTurn() == RED) {\\n temp = YELLOW;\\n } else {\\n temp = RED;\\n }\\n\\n //test horizontally\\n //set x to 1 as the placed counter will always be correct\\n int x = 1;\\n int i = 1;\\n //to check if zero has been found\\n boolean leftZeroFound = false;\\n boolean rightZeroFound = false;\\n while (!rightZeroFound || !leftZeroFound) {\\n //check to right of last placed\\n if (!rightZeroFound && inBounds(0, i)\\n && board[lastPlacedRow][lastPlacedCol + i] == temp) {\\n x++;\\n } else {\\n rightZeroFound = true;\\n }\\n\\n //check to left of last placed\\n if (!leftZeroFound && inBounds(0, -i)\\n && board[lastPlacedRow][lastPlacedCol - i] == temp) {\\n x++;\\n } else {\\n leftZeroFound = true;\\n }\\n\\n i++;\\n }\\n //return the winning colour if a row has been found\\n if (x >= NUM_IN_A_ROW_TO_WIN) {\\n return temp;\\n }\\n\\n //check vertically\\n //reset x to 1 as the placed counter will always be correct\\n x = 1;\\n i = 1;\\n //to check if zero has been found\\n boolean zeroFound = false;\\n while (!zeroFound) {\\n //check below last placed\\n if (inBounds(-i, 0) && board[lastPlacedRow - i][lastPlacedCol] == temp) {\\n x++;\\n } else {\\n zeroFound = true;\\n }\\n\\n i++;\\n }\\n //return the winning colour if a row has been found\\n if (x >= NUM_IN_A_ROW_TO_WIN) {\\n return temp;\\n }\\n\\n //check top right diagonal\\n //reset x to 1 as the placed counter will always be correct\\n x = 1;\\n i = 1;\\n //to check if zero has been found\\n leftZeroFound = false;\\n rightZeroFound = false;\\n while (!rightZeroFound || !leftZeroFound) {\\n //check top right diagonal\\n if (!rightZeroFound && inBounds(i, i)\\n && board[lastPlacedRow + i][lastPlacedCol + i] == temp) {\\n x++;\\n } else {\\n rightZeroFound = true;\\n }\\n\\n //check bottom left\\n if (!leftZeroFound && inBounds(-i, -i)\\n && board[lastPlacedRow - i][lastPlacedCol - i] == temp) {\\n x++;\\n } else {\\n leftZeroFound = true;\\n }\\n\\n i++;\\n }\\n if (x >= NUM_IN_A_ROW_TO_WIN) {\\n return temp;\\n }\\n\\n //check top left\\n //set x to 1 as the placed counter will always be correct\\n x = 1;\\n i = 1;\\n //to check if zero has been found\\n leftZeroFound = false;\\n rightZeroFound = false;\\n while (!rightZeroFound || !leftZeroFound) {\\n //check top left\\n if (!leftZeroFound && inBounds(i, -i)\\n && board[lastPlacedRow + i][lastPlacedCol - i] == temp) {\\n x++;\\n } else {\\n leftZeroFound = true;\\n }\\n\\n //check bottom right\\n if (!rightZeroFound && inBounds(-i, i)\\n && board[lastPlacedRow - i][lastPlacedCol + i] == temp) {\\n x++;\\n } else {\\n rightZeroFound = true;\\n }\\n\\n i++;\\n }\\n //return the winning colour if a row has been found\\n if (x >= NUM_IN_A_ROW_TO_WIN) {\\n return temp;\\n }\\n\\n //return Empty if a winner has not been found\\n return EMPTY;\\n }\",\n \"private boolean colWin(){ \\r\\n\\t\\tfor (int i=0; i<3; i++){ \\r\\n\\t\\t\\tif (checkValue (board[0][i], board[1][i], board[2][i]))\\r\\n\\t\\t\\t\\treturn true; \\r\\n\\t\\t}\\r\\n\\t\\treturn false; \\r\\n\\t}\",\n \"public char findWinner() {\\n char[] winners = {\\n checkRowVictory(getTopRow()),\\n checkRowVictory(getMidRow()),\\n checkRowVictory(getLowRow()),\\n checkRowVictory(getVerticalMidRow()),\\n checkRowVictory(getVerticalLeftRow()),\\n checkRowVictory(getVerticalRightRow()),\\n checkDiagonalVictory()\\n };\\n\\n for (char winner : winners) {\\n if (winner != 0) {\\n return winner;\\n }\\n }\\n\\n return 0;\\n }\",\n \"public String computerMove() {\\n\\t\\t// Look to win in a row\\n\\t\\tfor (int r = 0; r < 3; r++) {\\n\\t\\t\\tif (rowSum[r] == -2) {\\n\\t\\t\\t\\t// Find the empty space\\n\\t\\t\\t\\tfor (int c = 0; c < 3; c++) {\\n\\t\\t\\t\\t\\tif (board[r][c] == 0) {\\n\\t\\t\\t\\t\\t\\treturn done(r, c);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// Look to win in a col\\n\\t\\tfor (int c = 0; c < 3; c++) {\\n\\t\\t\\tif (colSum[c] == -2) {\\n\\t\\t\\t\\t// Find the empty space\\n\\t\\t\\t\\tfor (int r = 0; r < 3; r++) {\\n\\t\\t\\t\\t\\tif (board[r][c] == 0) {\\n\\t\\t\\t\\t\\t\\treturn done(r, c);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// Look to win a diag\\n\\t\\tfor (int d = 0; d < 2; d++) {\\n\\t\\t\\tif (diagSum[d] == -2) {\\n\\t\\t\\t\\t// Find the empty space\\n\\t\\t\\t\\tfor (int r = 0; r < 3; r++) {\\n\\t\\t\\t\\t\\tint c = d == 0 ? r : 2 - r;\\n\\t\\t\\t\\t\\tif (board[r][c] == 0) {\\n\\t\\t\\t\\t\\t\\treturn done(r, c);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// Look to block a row\\n\\t\\tfor (int r = 0; r < 3; r++) {\\n\\t\\t\\tif (rowSum[r] == 2) {\\n\\t\\t\\t\\t// Find the empty space\\n\\t\\t\\t\\tfor (int c = 0; c < 3; c++) {\\n\\t\\t\\t\\t\\tif (board[r][c] == 0) {\\n\\t\\t\\t\\t\\t\\treturn done(r, c);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// Look to block a col\\n\\t\\tfor (int c = 0; c < 3; c++) {\\n\\t\\t\\tif (colSum[c] == 2) {\\n\\t\\t\\t\\t// Find the empty space\\n\\t\\t\\t\\tfor (int r = 0; r < 3; r++) {\\n\\t\\t\\t\\t\\tif (board[r][c] == 0) {\\n\\t\\t\\t\\t\\t\\treturn done(r, c);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// Look to block a diag\\n\\t\\tfor (int d = 0; d < 2; d++) {\\n\\t\\t\\tif (diagSum[d] == 2) {\\n\\t\\t\\t\\t// Find the empty space\\n\\t\\t\\t\\tfor (int r = 0; r < 3; r++) {\\n\\t\\t\\t\\t\\tint c = d == 0 ? r : 2 - r;\\n\\t\\t\\t\\t\\tif (board[r][c] == 0) {\\n\\t\\t\\t\\t\\t\\treturn done(r, c);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// Find the non-full row and col w/ least val\\n\\t\\tint bestR = -1;\\n\\t\\tint bestC = -1;\\n\\t\\tint minSum = 10;\\n\\t\\tfor (int r = 0; r < 3; r++) {\\n\\t\\t\\tfor (int c = 0; c < 3; c++) {\\n\\t\\t\\t\\tif (board[r][c] == 0) {\\n\\t\\t\\t\\t\\tint sum = rowSum[r] + colSum[c];\\n\\t\\t\\t\\t\\tif (sum < minSum) {\\n\\t\\t\\t\\t\\t\\tminSum = sum;\\n\\t\\t\\t\\t\\t\\tbestR = r;\\n\\t\\t\\t\\t\\t\\tbestC = c;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\treturn done(bestR, bestC);\\n\\t}\",\n \"private int[] nextRowWin(){ \\r\\n\\t\\tfor (int r=0; r<3; r++){ \\r\\n\\t\\t\\tif (board[r][0] == board[r][1] && board[r][2] == '-' && board[r][0] != '-') {\\r\\n\\t\\t\\t\\trowWin[0] = r; \\r\\n\\t\\t\\t\\trowWin[1] = 2;\\r\\n\\t\\t\\t\\treturn rowWin; \\r\\n\\t\\t\\t}\\r\\n\\t\\t\\telse if (board[r][1] == board[r][2] && board[r][0] == '-' && board[r][1] != '-') {\\r\\n\\t\\t\\t\\trowWin[0] = r;\\r\\n\\t\\t\\t\\trowWin[1] = 0;\\r\\n\\t\\t\\t\\treturn rowWin; \\r\\n\\t\\t\\t}\\r\\n\\t\\t\\telse if (board[r][0] == board[r][2] && board[r][1] == '-' && board[r][0] != '-'){\\r\\n\\t\\t\\t\\trowWin[0] = r;\\r\\n\\t\\t\\t\\trowWin[1] = 1;\\r\\n\\t\\t\\t\\treturn rowWin; \\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\treturn rowWin;\\r\\n\\t}\",\n \"public int getComputerMove()\\n {\\n int move;\\n\\n // First see if there's a move O can make to win\\n for (int i = 0; i < BOARD_SIZE; i++) {\\n if (mBoard[i] != HUMAN_PLAYER && mBoard[i] != COMPUTER_PLAYER) {\\n char curr = mBoard[i];\\n mBoard[i] = COMPUTER_PLAYER;\\n if (checkForWinner() == 3) {\\n mBoard[i] = curr;\\n return i;\\n }\\n else\\n mBoard[i] = curr;\\n }\\n }\\n\\n // See if there's a move O can make to block X from winning\\n for (int i = 0; i < BOARD_SIZE; i++) {\\n if (mBoard[i] != HUMAN_PLAYER && mBoard[i] != COMPUTER_PLAYER) {\\n char curr = mBoard[i]; // Save the current number\\n mBoard[i] = HUMAN_PLAYER;\\n if (checkForWinner() == 2) {\\n //mBoard[i] = COMPUTER_PLAYER;\\n mBoard[i] = curr;\\n return i;\\n }\\n else\\n mBoard[i] = curr;\\n }\\n }\\n\\n // Generate random move\\n do\\n {\\n move = mRand.nextInt(BOARD_SIZE);\\n } while (mBoard[move] == HUMAN_PLAYER || mBoard[move] == COMPUTER_PLAYER);\\n\\n return move;\\n }\",\n \"public int checkWin(){\\n //check for horizontal and vertical wins\\n for(int i=0; i<3; i++){\\n if(gameBoard[i][0].equals(\\\"O\\\") && gameBoard[i][1].equals(\\\"O\\\") && gameBoard[i][2].equals(\\\"O\\\")){\\n return 1;\\n }\\n else if(gameBoard[i][0].equals(\\\"X\\\") && gameBoard[i][1].equals(\\\"X\\\") && gameBoard[i][2].equals(\\\"X\\\")){\\n return 2;\\n }\\n else if(gameBoard[0][i].equals(\\\"O\\\") && gameBoard[1][i].equals(\\\"O\\\") && gameBoard[2][i].equals(\\\"O\\\")){\\n return 1;\\n }\\n else if(gameBoard[0][i].equals(\\\"X\\\") && gameBoard[1][i].equals(\\\"X\\\") && gameBoard[2][i].equals(\\\"X\\\")){\\n return 2;\\n }\\n }\\n //check for both diagonal cases\\n if(gameBoard[0][0].equals(\\\"O\\\") && gameBoard[1][1].equals(\\\"O\\\") && gameBoard[2][2].equals(\\\"O\\\")){\\n return 1;\\n }\\n else if(gameBoard[0][2].equals(\\\"O\\\") && gameBoard[1][1].equals(\\\"O\\\") && gameBoard[2][0].equals(\\\"O\\\")){\\n return 1;\\n }\\n else if(gameBoard[0][0].equals(\\\"X\\\") && gameBoard[1][1].equals(\\\"X\\\") && gameBoard[2][2].equals(\\\"X\\\")){\\n return 2;\\n }\\n else if(gameBoard[0][2].equals(\\\"X\\\") && gameBoard[1][1].equals(\\\"X\\\") && gameBoard[2][0].equals(\\\"X\\\")){\\n return 2;\\n }\\n return 0;\\n }\",\n \"public int determineWinner() {\\n\\t\\tif(board[1][1] != 0 && (\\n\\t\\t\\t(board[1][1] == board[0][0] && board[1][1] == board[2][2]) ||\\n\\t\\t\\t(board[1][1] == board[0][2] && board[1][1] == board[2][0]) ||\\n\\t\\t\\t(board[1][1] == board[0][1] && board[1][1] == board[2][1]) ||\\n\\t\\t\\t(board[1][1] == board[1][0] && board[1][1] == board[1][2]))){\\n\\t\\t\\treturn board[1][1];\\n\\t\\t}\\n\\t\\telse if (board[0][0] != 0 &&(\\n\\t\\t\\t(board[0][0] == board[0][1] && board[0][0] == board[0][2]) ||\\n\\t\\t\\t(board[0][0] == board[1][0] && board[0][0] == board[2][0]))){\\n\\t\\t\\treturn board[0][0];\\n\\t\\t}\\n\\t\\telse if (board [2][2] != 0 && (\\n\\t\\t\\t(board[2][2] == board[2][0] && board[2][2] == board[2][1]) ||\\n\\t\\t\\t(board[2][2] == board[0][2] && board[2][2] == board[1][2]))) {\\n\\t\\t\\treturn board[2][2];\\n\\t\\t}\\n\\t\\t\\n\\t\\t//See if every square has been marked, return still in progress if not\\n\\t\\tfor(int i = 0; i < 3; ++i) {\\n\\t\\t\\tfor(int j = 0; j < 3; ++j) {\\n\\t\\t\\t\\tif (board[i][j] == 0)\\n\\t\\t\\t\\t\\treturn 0;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t//Return tie\\n\\t\\treturn 3;\\n\\t}\",\n \"public int checkWin() {\\n\\t\\t// Check rows\\n\\t\\tfor (int i = 0; i < 3; i++) {\\n\\t\\t\\tif (Math.abs(rowSum[i]) == 3) {\\n\\t\\t\\t\\tover = true;\\n\\t\\t\\t\\treturn rowSum[i] / Math.abs(rowSum[i]);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// Check cols\\n\\t\\tfor (int i = 0; i < 3; i++) {\\n\\t\\t\\tif (Math.abs(colSum[i]) == 3) {\\n\\t\\t\\t\\tover = true;\\n\\t\\t\\t\\treturn colSum[i] / Math.abs(colSum[i]);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// Check diags\\n\\t\\tfor (int i = 0; i < 2; i++) {\\n\\t\\t\\tif (Math.abs(diagSum[i]) == 3) {\\n\\t\\t\\t\\tover = true;\\n\\t\\t\\t\\treturn diagSum[i] / Math.abs(diagSum[i]);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\treturn 0;\\n\\t}\",\n \"public boolean checkForWin()\\n {\\n //Horizontal win\\n for (int r = 0; r <= 5; r++)\\n {\\n for (int c = 0; c <= 3; c++)\\n {\\n if (current_board[c][r] == player_turn &&\\n current_board[c+1][r] == player_turn &&\\n current_board[c+2][r] == player_turn &&\\n current_board[c+3][r] == player_turn)\\n return true;\\n }\\n }\\n //Vertical win\\n for (int c = 0; c <= 6; c++)\\n {\\n for (int r = 0; r <= 2; r++)\\n {\\n if (current_board[c][r] == player_turn &&\\n current_board[c][r+1] == player_turn &&\\n current_board[c][r+2] == player_turn &&\\n current_board[c][r+3] == player_turn)\\n return true;\\n }\\n }\\n //Shortest diagonals/anti diagonals (cell length == 4)\\n //postive slope\\n if (current_board[0][2] == player_turn && current_board[1][3] == player_turn && current_board[2][4] == player_turn && current_board[3][5] == player_turn)\\n return true;\\n if (current_board[3][0] == player_turn && current_board[4][1] == player_turn && current_board[5][2] == player_turn && current_board[6][3] == player_turn)\\n return true;\\n //negative slope\\n if (current_board[0][3] == player_turn && current_board[1][2] == player_turn && current_board[2][1] == player_turn && current_board[3][0] == player_turn)\\n return true;\\n if (current_board[3][5] == player_turn && current_board[4][4] == player_turn && current_board[5][3] == player_turn && current_board[6][2] == player_turn)\\n return true;\\n\\n //Medium-length diagonals/anti diagonals (cell length == 5)\\n //positive slope\\n if (current_board[0][1] == player_turn && current_board[1][2] == player_turn && current_board[2][3] == player_turn && current_board[3][4] == player_turn)\\n return true;\\n if (current_board[1][2] == player_turn && current_board[2][3] == player_turn && current_board[3][4] == player_turn && current_board[4][5] == player_turn)\\n return true;\\n if (current_board[2][0] == player_turn && current_board[3][1] == player_turn && current_board[4][2] == player_turn && current_board[5][3] == player_turn)\\n return true;\\n if (current_board[3][1] == player_turn && current_board[4][2] == player_turn && current_board[5][3] == player_turn && current_board[6][4] == player_turn)\\n return true;\\n //negative slope\\n if (current_board[0][4] == player_turn && current_board[1][3] == player_turn && current_board[2][2] == player_turn && current_board[3][1] == player_turn)\\n return true;\\n if (current_board[1][3] == player_turn && current_board[2][2] == player_turn && current_board[3][1] == player_turn && current_board[4][0] == player_turn)\\n return true;\\n if (current_board[2][5] == player_turn && current_board[3][4] == player_turn && current_board[4][3] == player_turn && current_board[5][2] == player_turn)\\n return true;\\n if (current_board[3][4] == player_turn && current_board[4][3] == player_turn && current_board[5][2] == player_turn && current_board[6][1] == player_turn)\\n return true;\\n\\n //Longest diagonals/anti diagonals (cell length == 6)\\n //positive slope\\n for (int c=0, r=0; c <= 2 && r <= 2; c++, r++)\\n {\\n if (current_board[c][r] == player_turn &&\\n current_board[c+1][r+1] == player_turn &&\\n current_board[c+2][r+2] == player_turn &&\\n current_board[c+3][r+3] == player_turn)\\n return true;\\n }\\n for (int c=1, r=0; c <= 3 && r <= 2; c++, r++)\\n {\\n if (current_board[c][r] == player_turn &&\\n current_board[c+1][r+1] == player_turn &&\\n current_board[c+2][r+2] == player_turn &&\\n current_board[c+3][r+3] == player_turn)\\n return true;\\n }\\n //negative slope\\n for (int c=0, r=5; c <= 2 && r >= 3; c++, r--)\\n {\\n if (current_board[c][r] == player_turn &&\\n current_board[c+1][r-1] == player_turn &&\\n current_board[c+2][r-2] == player_turn &&\\n current_board[c+3][r-3] == player_turn)\\n return true;\\n }\\n for (int c=1, r=5; c <= 3 && r >= 3; c++, r--)\\n {\\n if (current_board[c][r] == player_turn &&\\n current_board[c+1][r-1] == player_turn &&\\n current_board[c+2][r-2] == player_turn &&\\n current_board[c+3][r-3] == player_turn)\\n return true;\\n }\\n\\n return false;\\n }\",\n \"public int checkForWinner() {\\n\\n // Check horizontal wins\\n for (int i = 0; i <= 6; i += 3)\\t{\\n if (mBoard[i] == HUMAN_PLAYER &&\\n mBoard[i+1] == HUMAN_PLAYER &&\\n mBoard[i+2]== HUMAN_PLAYER)\\n return 2;\\n if (mBoard[i] == COMPUTER_PLAYER &&\\n mBoard[i+1]== COMPUTER_PLAYER &&\\n mBoard[i+2] == COMPUTER_PLAYER)\\n return 3;\\n }\\n\\n // Check vertical wins\\n for (int i = 0; i <= 2; i++) {\\n if (mBoard[i] == HUMAN_PLAYER &&\\n mBoard[i+3] == HUMAN_PLAYER &&\\n mBoard[i+6]== HUMAN_PLAYER)\\n return 2;\\n if (mBoard[i] == COMPUTER_PLAYER &&\\n mBoard[i+3] == COMPUTER_PLAYER &&\\n mBoard[i+6]== COMPUTER_PLAYER)\\n return 3;\\n }\\n\\n // Check for diagonal wins\\n if ((mBoard[0] == HUMAN_PLAYER &&\\n mBoard[4] == HUMAN_PLAYER &&\\n mBoard[8] == HUMAN_PLAYER) ||\\n (mBoard[2] == HUMAN_PLAYER &&\\n mBoard[4] == HUMAN_PLAYER &&\\n mBoard[6] == HUMAN_PLAYER))\\n return 2;\\n if ((mBoard[0] == COMPUTER_PLAYER &&\\n mBoard[4] == COMPUTER_PLAYER &&\\n mBoard[8] == COMPUTER_PLAYER) ||\\n (mBoard[2] == COMPUTER_PLAYER &&\\n mBoard[4] == COMPUTER_PLAYER &&\\n mBoard[6] == COMPUTER_PLAYER))\\n return 3;\\n\\n // Check for tie\\n for (int i = 0; i < BOARD_SIZE; i++) {\\n // If we find a number, then no one has won yet\\n if (mBoard[i] != HUMAN_PLAYER && mBoard[i] != COMPUTER_PLAYER)\\n return 0;\\n }\\n\\n // If we make it through the previous loop, all places are taken, so it's a tie\\n return 1;\\n }\",\n \"public int evalBoard(){\\n if (wins('o')){\\n return 3;\\n }\\n // Return 0 if human wins\\n else if (wins('b')){\\n return 0;\\n }\\n //Return 2 if game is draw\\n else if (isDraw()){\\n return 2;\\n }\\n // Game is not a draw and no player has won. Game is still undecided.\\n else {\\n return 1;\\n }\\n }\",\n \"private int checkColumn() {\\n for (int i = 0; i < 3; i++) {\\n if ((this.board[i][0] == this.board[i][1]) && (this.board[i][0] == this.board[i][2])) {\\n return this.board[i][0];\\n }\\n }\\n return 0;\\n }\",\n \"private char isWonButForChars() {\\n for (int y = 0; y < wonBoards.length; y++) {\\n if (checkRow(y) != ' ') {\\n return checkRow(y);\\n }\\n }\\n for (int x = 0; x < wonBoards[0].length; x++) {\\n if (checkColumn(x) != ' ') {\\n return checkColumn(x);\\n }\\n }\\n if (wonBoards[0][0] == wonBoards[1][1] && wonBoards[1][1] == wonBoards[2][2]) {\\n if (wonBoards[0][0] != ' ') {\\n return wonBoards[0][0];\\n }\\n }\\n if (wonBoards[2][0] == wonBoards[1][1] && wonBoards[1][1] == wonBoards[0][2]) {\\n if (wonBoards[2][0] != ' ') {\\n return wonBoards[2][0];\\n }\\n }\\n\\n return ' ';\\n }\",\n \"private boolean diagWin(){ \\r\\n\\t\\treturn ((checkValue (board[0][0],board[1][1],board[2][2]) == true) || \\r\\n\\t\\t\\t\\t(checkValue (board[0][2], board[1][1], board[2][0]) == true)); \\r\\n\\t}\",\n \"private void checkVictory() {\\n\\t\\tboolean currentWin = true;\\n\\t\\t\\n\\t\\t//Vertical win\\n\\t\\tfor (int i = 0; i<DIVISIONS; i++){\\n\\t\\t\\tif (gameArray[i][yGuess] != currentPlayer){\\n\\t\\t\\t\\tcurrentWin = false;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tif (currentWin){\\n\\t\\t\\tgameWon = true;\\n\\t\\t}\\n\\t\\t\\n\\t\\t//Horizontal win\\n\\t\\tcurrentWin = true;\\n\\t\\tfor (int i = 0; i<DIVISIONS; i++){\\n\\t\\t\\tif (gameArray[xGuess][i] != currentPlayer){\\n\\t\\t\\t\\tcurrentWin = false;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tif (currentWin){\\n\\t\\t\\tgameWon = true;\\n\\t\\t}\\n\\t\\t\\n\\t\\t//Top left bottom right diagonal win\\n\\t\\tcurrentWin = true;\\n\\t\\tif (xGuess == yGuess){\\n\\t\\tfor (int i = 0; i<DIVISIONS; i++){\\n\\t\\t\\tif (gameArray[i][i] != currentPlayer){\\n\\t\\t\\t\\tcurrentWin = false;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tif (currentWin){\\n\\t\\t\\tgameWon = true;\\n\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t//Bottom left top right diagonal win\\n\\t\\tcurrentWin = true;\\n\\t\\tif (yGuess + xGuess == DIVISIONS - 1){\\n\\t\\t\\tfor (int i = 0; i<DIVISIONS; i++){\\n\\t\\t\\t\\tif (gameArray[i][(DIVISIONS - 1) -i] != currentPlayer){\\n\\t\\t\\t\\t\\tcurrentWin = false;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tif (currentWin){\\n\\t\\t\\t\\tgameWon = true;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t}\",\n \"private boolean win(int row, int col, int player)\\n {\\n int check;\\n // horizontal line\\n // Start checking at a possible and valid leftmost point\\n for (int start = Math.max(col - 3, 0); start <= Math.min(col,\\n COLUMNS - 4); start++ )\\n {\\n // Check 4 chess horizontally from left to right\\n for (check = 0; check < 4; check++ )\\n {\\n // The coordinate of column increases 1 every time\\n if (chessBoard[row][start + check] != player)\\n {\\n break;\\n }\\n }\\n // If the checking passed, win\\n if (check == 4)\\n {\\n return true;\\n }\\n }\\n\\n // vertical line\\n // Start checking at the point inputed if there exists at least 3 rows under\\n // it.\\n if (row + 3 < ROWS)\\n {\\n // Check another 3 chess vertically from top to bottom\\n for (check = 1; check < 4; check++ )\\n {\\n // The coordinate of row increases 1 every time\\n // Check if the chess all belong to the player\\n if (chessBoard[row + check][col] != player)\\n {\\n break;\\n }\\n }\\n // If the checking passed, win\\n if (check == 4)\\n {\\n return true;\\n }\\n }\\n\\n // diagonal line \\\"\\\\\\\"\\n // Start checking at a possible and valid leftmost and upmost point\\n for (int start = Math.max(Math.max(col - 3, 0), col - row); start <= Math\\n .min(Math.min(col, COLUMNS - 4), col + ROWS - row - 4); start++ )\\n {\\n // Check 4 chess diagonally from left and top to right and bottom\\n for (check = 0; check < 4; check++ )\\n {\\n // The coordinate of row increases 1 every time\\n // The coordinate of column increases 1 every time\\n // Check if the chess all belong to the player\\n if (chessBoard[row - col + start + check][start + check] != player)\\n {\\n break;\\n }\\n }\\n // If the checking passed, win\\n if (check == 4)\\n {\\n return true;\\n }\\n }\\n\\n // diagonal line \\\"/\\\"\\n // Start checking at a possible and valid leftmost and downmost point\\n for (int start = Math.max(Math.max(col - 3, 0),\\n col - ROWS + row + 1); start <= Math.min(Math.min(col, COLUMNS - 4),\\n col + row - 3); start++ )\\n {\\n // Check 4 chess diagonally from left and bottom to right and up\\n for (check = 0; check < 4; check++ )\\n {\\n // The coordinate of row decreases 1 every time\\n // The coordinate of column increases 1 every time\\n // Check if the chess all belong to the player\\n if (chessBoard[row + col - start - check][start + check] != player)\\n {\\n break;\\n }\\n }\\n // If the checking passed, win\\n if (check == 4)\\n {\\n return true;\\n }\\n }\\n // no checking passed, not win\\n return false;\\n }\",\n \"private boolean rowWin (){ \\r\\n\\t\\tfor (int i=0; i<3; i++){ \\r\\n\\t\\t\\tif (checkValue (board[i][0], board[i][1], board[i][2])){\\r\\n\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\treturn false; \\r\\n\\t}\",\n \"private void checkForWin(int x, int y, String s) {\\n\\t\\tfor (int i = 0; i < 3; i++) {\\n\\t\\t\\tif (grid[x][i].getText() != s)\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tif (i == 3 - 1) {\\n\\t\\t\\t\\tgameOver = true;\\n\\n\\t\\t\\t\\tif (grid[x][i].getText() == \\\"X\\\")\\n\\t\\t\\t\\t\\twinner = \\\"Player 1\\\";\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\twinner = \\\"Player 2\\\";\\n\\t\\t\\t\\tfor (int r = 0; r < 3; r++) {\\n\\t\\t\\t\\t\\tfor (int c = 0; c < 3; c++) {\\n\\t\\t\\t\\t\\t\\tgrid[r][c].setEnabled(false);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// check row\\n\\t\\tfor (int i = 0; i < 3; i++) {\\n\\t\\t\\tif (grid[i][y].getText() != s)\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tif (i == 3 - 1) {\\n\\t\\t\\t\\tgameOver = true;\\n\\n\\t\\t\\t\\tif (grid[i][y].getText() == \\\"X\\\")\\n\\t\\t\\t\\t\\twinner = \\\"Player 1\\\";\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\twinner = \\\"Player 2\\\";\\n\\n\\t\\t\\t\\tfor (int r = 0; r < 3; r++) {\\n\\t\\t\\t\\t\\tfor (int c = 0; c < 3; c++) {\\n\\t\\t\\t\\t\\t\\tgrid[r][c].setEnabled(false);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// check diag\\n\\t\\tif (x == y) {\\n\\t\\t\\t// we're on a diagonal\\n\\t\\t\\tfor (int i = 0; i < 3; i++) {\\n\\t\\t\\t\\tif (grid[i][i].getText() != s)\\n\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\tif (i == 3 - 1) {\\n\\t\\t\\t\\t\\tgameOver = true;\\n\\n\\t\\t\\t\\t\\tif (grid[i][i].getText() == \\\"X\\\")\\n\\t\\t\\t\\t\\t\\twinner = \\\"Player 1\\\";\\n\\t\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\t\\twinner = \\\"Player 2\\\";\\n\\t\\t\\t\\t\\tfor (int r = 0; r < 3; r++) {\\n\\t\\t\\t\\t\\t\\tfor (int c = 0; c < 3; c++) {\\n\\t\\t\\t\\t\\t\\t\\tgrid[r][c].setEnabled(false);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// check anti diag (thanks rampion)\\n\\t\\tif (x + y == 3 - 1) {\\n\\t\\t\\tfor (int i = 0; i < 3; i++) {\\n\\t\\t\\t\\tif (grid[i][(3 - 1) - i].getText() != s)\\n\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\tif (i == 3 - 1) {\\n\\t\\t\\t\\t\\tgameOver = true;\\n\\n\\t\\t\\t\\t\\tif (grid[i][(3 - 1) - i].getText() == \\\"X\\\")\\n\\t\\t\\t\\t\\t\\twinner = \\\"Player 1\\\";\\n\\t\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\t\\twinner = \\\"Player 2\\\";\\n\\t\\t\\t\\t\\tfor (int r = 0; r < 3; r++) {\\n\\t\\t\\t\\t\\t\\tfor (int c = 0; c < 3; c++) {\\n\\t\\t\\t\\t\\t\\t\\tgrid[r][c].setEnabled(false);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"private int[] nextDiagWin(){ \\r\\n\\t\\t//left diagonal\\r\\n\\t\\tif (board[0][0] == board[1][1] && board[2][2] == '-' && board[0][0] != '-'){\\r\\n\\t\\t\\tdiagWin[0] = 2; \\r\\n\\t\\t\\tdiagWin[1] = 2;\\r\\n\\t\\t\\treturn diagWin;\\r\\n\\t\\t}\\r\\n\\t\\telse if (board[1][1] == board[2][2] && board[0][0] == '-' && board[1][1] != '-'){\\r\\n\\t\\t\\tdiagWin[0] = 0; \\r\\n\\t\\t\\tdiagWin[1] = 0;\\r\\n\\t\\t\\treturn diagWin;\\r\\n\\t\\t}\\r\\n\\t\\telse if (board[0][0] == board[2][2] && board[1][1] == '-' && board[0][0] != '-'){\\r\\n\\t\\t\\tdiagWin[0] = 1; \\r\\n\\t\\t\\tdiagWin[1] = 1;\\r\\n\\t\\t\\treturn diagWin;\\r\\n\\t\\t}\\r\\n\\t\\t//right diagonal\\r\\n\\t\\telse if (board[0][2] == board[2][0] && board[1][1] == '-' && board[0][2] != '-'){\\r\\n\\t\\t\\tdiagWin[0] = 1; \\r\\n\\t\\t\\tdiagWin[1] = 1;\\r\\n\\t\\t\\treturn diagWin;\\r\\n\\t\\t}\\r\\n\\t\\telse if (board[0][2] == board[1][1] && board[2][0] == '-' && board[0][2] != '-'){\\r\\n\\t\\t\\tdiagWin[0] = 2; \\r\\n\\t\\t\\tdiagWin[1] = 0;\\r\\n\\t\\t\\treturn diagWin;\\r\\n\\t\\t}\\t\\t\\r\\n\\t\\telse if (board[1][1] == board[2][0] && board[0][2] == '-' && board[1][1] != '-'){\\r\\n\\t\\t\\tdiagWin[0] = 0; \\r\\n\\t\\t\\tdiagWin[1] = 2;\\r\\n\\t\\t\\treturn diagWin;\\r\\n\\t\\t}\\r\\n\\t\\treturn diagWin;\\r\\n\\t}\",\n \"public int sides1() {\\n for (int row = 0; row < board.length; row++)\\n for (int col = 0; col < board.length; col++) {\\n // left-border (excluding corners - check 3 sides only)\\n if (row != 0 && row != board.length - 1 && col == 0) {\\n if (board[row - 1][col] != null && board[row][col + 1] != null && board[row + 1][col] != null\\n && board[row][col] != null)\\n if (board[row - 1][col].getPlayerNumber() != board[row][col].getPlayerNumber()\\n && board[row - 1][col].getPlayerNumber() != board[row][col].getPlayerNumber() &&\\n board[row][col + 1].getPlayerNumber() != board[row][col].getPlayerNumber())\\n if (playersArray[board[row][col].getPlayerNumber()] != -3)\\n return board[row][col].getPlayerNumber();\\n\\n }\\n // right-border (excluding corners - check 3 sides only)\\n if (row != 0 && row != board.length - 1 && col == board.length - 1) {\\n if (board[row - 1][col] != null && board[row][col - 1] !=\\n null && board[row + 1][col] != null&& board[row][col] != null)\\n if (board[row - 1][col].getPlayerNumber() != board[row][col].getPlayerNumber()\\n && board[row][col].getPlayerNumber() != board[row+1][col] .getPlayerNumber() &&\\n board[row][col - 1].getPlayerNumber() != board[row][col].getPlayerNumber())\\n if (playersArray[board[row][col].getPlayerNumber()] != -3)\\n return board[row][col].getPlayerNumber();\\n }\\n // above-border (excluding corners - check 3 sides only)\\n if (col != 0 && col != board.length - 1 && row == 0) {\\n if (board[row][col - 1] != null && board[row][col + 1] !=\\n null && board[row + 1][col] != null&& board[row][col] != null)\\n if (board[row][col].getPlayerNumber() == board[row][col + 1].getPlayerNumber()\\n && board[row + 1][col].getPlayerNumber() != board[row][col].getPlayerNumber() &&\\n board[row][col - 1].getPlayerNumber() != board[row][col].getPlayerNumber())\\n if (playersArray[board[row][col].getPlayerNumber()] != -3)\\n return board[row][col].getPlayerNumber();\\n }\\n // bottom-border (excluding corners - check 3 sides only)\\n if (col != 0 && col != board.length - 1 && row == board.length - 1) {\\n if (board[row][col - 1] != null && board[row][col + 1] != null && board[row - 1][col] != null&&\\n board[row][col]!= null)\\n if (board[row][col].getPlayerNumber() != board[row][col + 1].getPlayerNumber()\\n && board[row - 1][col].getPlayerNumber() != board[row][col].getPlayerNumber() &&\\n board[row][col - 1].getPlayerNumber() != board[row][col].getPlayerNumber())\\n return board[row][col - 1].getPlayerNumber();\\n }\\n\\n }\\n return -2;\\n\\n }\",\n \"private boolean hasColWin() {\\n for (int i = 0; i < rows; i++) {\\n for (int j = 0; j < cols; j++) {\\n if (getBoard()[i][j] != null) {\\n\\n boolean colWin = colHasFour(i, j);\\n if (colWin) {\\n return true;\\n }\\n\\n }\\n }\\n }\\n return false;\\n }\",\n \"private int checkWin(int x) {\\n for (int row = 0; row < 8; row++) {\\n for (int col = 0; col < 9; col++) {\\n //Black = 1, Red = 0\\n\\n //Checks Vertically\\n if ((buttons[row][col].getText() == \\\"O\\\") && (buttons[row][col+1].getText() == \\\"O\\\") && (buttons[row][col+2].getText() == \\\"O\\\") && (buttons[row][col+3].getText() == \\\"O\\\")) {\\n return 0;\\n }\\n if ((buttons[row][col].getText() == \\\"X\\\") && (buttons[row][col+1].getText() == \\\"X\\\") && (buttons[row][col+2].getText() == \\\"X\\\") && (buttons[row][col+3].getText() == \\\"X\\\")) {\\n return 1;\\n }\\n\\n //Checks Vertically\\n if ((buttons[row][col].getText() == \\\"O\\\") && (buttons[row+1][col].getText() == \\\"O\\\") && (buttons[row+2][col].getText() == \\\"O\\\") && (buttons[row+3][col].getText() == \\\"O\\\")) {\\n return 0;\\n }\\n\\n if ((buttons[row][col].getText() == \\\"X\\\") && (buttons[row+1][col].getText() == \\\"X\\\") && (buttons[row+2][col].getText() == \\\"X\\\") && (buttons[row+3][col].getText() == \\\"X\\\")) {\\n return 1;\\n }\\n\\n //Diagonal Top left to bottom right checker\\n if((buttons[row][col].getText() == \\\"O\\\") && (buttons[row+1][col+1].getText() == \\\"O\\\") && (buttons[row+2][col+2].getText() == \\\"O\\\") && (buttons[row+3][col+3].getText() == \\\"O\\\")) {\\n return 0;\\n }\\n if((buttons[row][col].getText() == \\\"X\\\") && (buttons[row+1][col+1].getText() == \\\"X\\\") && (buttons[row+2][col+2].getText() == \\\"X\\\") && (buttons[row+3][col+3].getText() == \\\"X\\\")) {\\n return 1;\\n }\\n\\n //Diagonal Bottom left to top right checker\\n if((buttons[row][col].getText() == \\\"O\\\") && (buttons[row-1][col+1].getText() == \\\"O\\\") && (buttons[row-2][col+2].getText() == \\\"O\\\") && (buttons[row-3][col+3].getText() == \\\"O\\\")) {\\n return 0;\\n }\\n if((buttons[row][col].getText() == \\\"X\\\") && (buttons[row-1][col+1].getText() == \\\"X\\\") && (buttons[row-2][col+2].getText() == \\\"X\\\") && (buttons[row-3][col+3].getText() == \\\"X\\\")) {\\n return 1;\\n }\\n }\\n }\\n return 2;\\n }\",\n \"public int checkWinner(int player, int row, int col) {\\n // Just check for extra 3 count since current board[row][col] is already counted as 1.\\n \\n // check horizontal\\n int count = getConnectedCount(player, row, -1, col, 0) // left\\n + getConnectedCount(player, row, 1, col, 0); // right\\n if (count == 3) return player;\\n\\n // check vertical\\n count = getConnectedCount(player, row, 0, col, -1) // up\\n + getConnectedCount(player, row, 0, col, 1); // down\\n if (count == 3) return player;\\n\\n // check top left to bottom right\\n count = getConnectedCount(player, row, -1, col, -1) // top left\\n + getConnectedCount(player, row, 1, col, 1); // bottom right\\n if (count == 3) return player;\\n\\n // check top right to bottom left\\n count = getConnectedCount(player, row, -1, col, 1) // top right\\n + getConnectedCount(player, row, 1, col, -1); // bottom left\\n if (count == 3) return player;\\n\\n return -1;\\n }\",\n \"public boolean win() {\\r\\n\\t\\tfor (int n = 0; n < 3; n++) {\\r\\n\\t\\t\\tfor (int m = 0; m < 7; m++) {\\r\\n\\t\\t\\t\\tif (board[n][m] != 'X') {\\r\\n\\t\\t\\t\\t\\tif (board[n + 1][m] == board[n][m] && board[n + 2][m] == board[n][m]\\r\\n\\t\\t\\t\\t\\t\\t\\t&& board[n + 3][m] == board[n][m]) {\\r\\n\\t\\t\\t\\t\\t\\tsquares[n][m].setText(\\\"X\\\");\\r\\n\\t\\t\\t\\t\\t\\tsquares[n + 1][m].setText(\\\"X\\\");\\r\\n\\t\\t\\t\\t\\t\\tsquares[n + 2][m].setText(\\\"X\\\");\\r\\n\\t\\t\\t\\t\\t\\tsquares[n + 3][m].setText(\\\"X\\\");\\r\\n\\r\\n\\t\\t\\t\\t\\t\\twinnerChip = board[n][m];\\r\\n\\r\\n\\t\\t\\t\\t\\t\\treturn true;\\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\\tfor (int n = 0; n < 6; n++) {\\r\\n\\t\\t\\tfor (int m = 0; m < 4; m++) {\\r\\n\\t\\t\\t\\tif (board[n][m] != 'X') {\\r\\n\\t\\t\\t\\t\\tif (board[n][m + 1] == board[n][m] && board[n][m + 2] == board[n][m]\\r\\n\\t\\t\\t\\t\\t\\t\\t&& board[n][m + 3] == board[n][m]) {\\r\\n\\t\\t\\t\\t\\t\\tsquares[n][m].setText(\\\"X\\\");\\r\\n\\t\\t\\t\\t\\t\\tsquares[n][m + 1].setText(\\\"X\\\");\\r\\n\\t\\t\\t\\t\\t\\tsquares[n][m + 2].setText(\\\"X\\\");\\r\\n\\t\\t\\t\\t\\t\\tsquares[n][m + 3].setText(\\\"X\\\");\\r\\n\\t\\t\\t\\t\\t\\twinnerChip = board[n][m];\\r\\n\\r\\n\\t\\t\\t\\t\\t\\treturn true;\\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\\tfor (int n = 0; n < 3; n++) {\\r\\n\\t\\t\\tfor (int m = 0; m < 4; m++) {\\r\\n\\t\\t\\t\\tif (board[n][m] != 'X') {\\r\\n\\t\\t\\t\\t\\tif (board[n + 1][m + 1] == board[n][m] && board[n + 2][m + 2] == board[n][m]\\r\\n\\t\\t\\t\\t\\t\\t\\t&& board[n + 3][m + 3] == board[n][m]) {\\r\\n\\t\\t\\t\\t\\t\\tsquares[n][m].setText(\\\"X\\\");\\r\\n\\t\\t\\t\\t\\t\\tsquares[n + 1][m + 1].setText(\\\"X\\\");\\r\\n\\t\\t\\t\\t\\t\\tsquares[n + 2][m + 2].setText(\\\"X\\\");\\r\\n\\t\\t\\t\\t\\t\\tsquares[n + 3][m + 3].setText(\\\"X\\\");\\r\\n\\r\\n\\t\\t\\t\\t\\t\\twinnerChip = board[n][m];\\r\\n\\t\\t\\t\\t\\t\\treturn true;\\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\\tfor (int n = 3; n < 6; n++) {\\r\\n\\t\\t\\tfor (int m = 0; m < 4; m++) {\\r\\n\\t\\t\\t\\tif (board[n][m] != 'X') {\\r\\n\\t\\t\\t\\t\\tif (board[n - 1][m + 1] == board[n][m] && board[n - 2][m + 2] == board[n][m]\\r\\n\\t\\t\\t\\t\\t\\t\\t&& board[n - 3][m + 3] == board[n][m]) {\\r\\n\\t\\t\\t\\t\\t\\tsquares[n][m].setText(\\\"X\\\");\\r\\n\\t\\t\\t\\t\\t\\tsquares[n - 1][m + 1].setText(\\\"X\\\");\\r\\n\\t\\t\\t\\t\\t\\tsquares[n - 2][m + 2].setText(\\\"X\\\");\\r\\n\\t\\t\\t\\t\\t\\tsquares[n - 3][m + 3].setText(\\\"X\\\");\\r\\n\\r\\n\\t\\t\\t\\t\\t\\twinnerChip = board[n][m];\\r\\n\\t\\t\\t\\t\\t\\treturn true;\\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\\treturn false;\\r\\n\\r\\n\\t}\",\n \"boolean diagonalWin(){\\n\\t\\tint match_counter=0;\\n\\t\\tboolean flag=false;\\n\\t\\tfor(int row=8; row>=3;row--){\\n\\t\\t\\tfor(int column=0;column<25;column++){\\n\\t\\t\\t\\tif(Board[row][column]!='\\\\u0000'){\\n\\t\\t\\t\\t\\tif(Board[row][column]!='O'){\\n\\t\\t\\t\\t\\t\\tif(Board[row][column]==Board[row-1][column+1]&& \\n\\t\\t\\t\\t\\t\\t Board[row-1][column+1]== Board[row-2][column+2]&&\\n\\t\\t\\t\\t\\t\\t Board[row-2][column+2]==Board[row-3][column+3]){\\n\\t\\t\\t\\t\\t\\t\\tflag=true;\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\t\\t\\tflag=false;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\t\\n\\t\\t\\t}\\n\\t\\t\\tif (flag == true)\\n\\t\\t\\t\\tbreak;\\n\\t\\t}\\n\\t\\treturn flag;\\t\\n\\t}\",\n \"public int checkChasingPlayer()\\n {\\n if(stunCountdown > 0)\\n {\\n chasingPlayer = false;\\n return stunCountdown;\\n }\\n if(Game.getInstance().getPlayer().getCurrentRoom().isControlRoom())\\n {\\n chasingPlayer = false;\\n return(-1);\\n }\\n else\\n {\\n List<Exit> neighbors = getCurrentRoom().getCollectionOfExits();\\n for(Exit neighbor : neighbors)\\n {\\n if(getCurrentRoom().getExit(neighbor).equals(Game.getInstance().getPlayer().getCurrentRoom()) && neighbor.isOperating())\\n {\\n chasingPlayer = true;\\n return(5 + (int) Math.floor(Math.random() * 6));\\n }\\n }\\n chasingPlayer = false;\\n return(-1);\\n }\\n }\",\n \"public int winner(){\\n getValidMoves();\\n if(check(1)!=0) return 1;\\n else if(check(-1)!=0) return -1;\\n else if(validX.size()==0) return 2;\\n else return 0;\\n }\",\n \"private Boolean canWinInColumn(PentagoBoard b, int column, Color who) {\\n\\t\\tint amount=0;\\n \\tfor(int i=0; i<b.getSize(); i++) {\\n\\t\\t\\tif(b.getState(column,i) == Color.EMPTY || b.getState(column,i) == who) {\\n\\t\\t\\t\\tamount++;\\n\\t\\t\\t}\\n\\t\\t\\telse\\n\\t\\t\\t\\tamount=0;\\n \\t}\\n \\tif(amount>4)\\n \\t\\treturn true;\\n \\telse\\n \\t\\treturn false;\\n }\",\n \"public char checkWinner() {\\r\\n // Vertical\\r\\n if (board[0][0] == board[0][1] && board[0][1] == board[0][2] && board[0][0] != '-') {\\r\\n return board[0][0];\\r\\n }\\r\\n else if (board[1][0] == board[1][1] && board[1][1] == board[1][2] && board[1][0] != '-') {\\r\\n return board[1][0];\\r\\n }\\r\\n else if (board[2][0] == board[2][1] && board[2][1] == board[2][2] && board[2][0] != '-') {\\r\\n return board[2][0];\\r\\n }\\r\\n // Horizontal\\r\\n else if (board[0][0] == board[1][0] && board[1][0] == board[2][0] && board[0][0] != '-') {\\r\\n return board[0][0];\\r\\n }\\r\\n else if (board[0][1] == board[1][1] && board[1][1] == board[2][1] && board[0][1] != '-') {\\r\\n return board[0][1];\\r\\n }\\r\\n else if (board[0][2] == board[1][2] && board[1][2] == board[2][2] && board[0][2] != '-') {\\r\\n return board[0][2];\\r\\n }\\r\\n // Diagonal\\r\\n else if (board[0][0] == board[1][1] && board[1][1] == board[2][2] && board[0][0] != '-') {\\r\\n return board[0][0];\\r\\n }\\r\\n else if (board[0][2] == board[1][1] && board[1][1] == board[2][0] && board[0][2] != '-') {\\r\\n return board[0][2];\\r\\n }\\r\\n // Tie\\r\\n else {\\r\\n for (int y = 0; y < 3; y++) {\\r\\n for (int x = 0; x < 3; x++) {\\r\\n if (board[x][y] == '-')\\r\\n return 'N';\\r\\n }\\r\\n }\\r\\n return 'T';\\r\\n }\\r\\n }\",\n \"public int dropPiece(int column_dropped)\\n {\\n int row_landed = -1;\\n if (column_dropped >= 0 && column_dropped <= 6)\\n {\\n for (int row = 0; row <= 5; row++)\\n {\\n if (current_board[column_dropped][row] == 0)\\n {\\n current_board[column_dropped][row] = player_turn;\\n total_moves++;\\n row_landed = row;\\n break;\\n }\\n }\\n }\\n return row_landed;\\n }\",\n \"private WinScenario getWinningScenario() {\\n Diagonal primaryDiagonal = new Diagonal(this, true);\\n if (primaryDiagonal.isWon()) {\\n return primaryDiagonal;\\n }\\n\\n // Check for secondary diagonal\\n Diagonal secondaryDiagonal = new Diagonal(this, false);\\n if (secondaryDiagonal.isWon()) {\\n return secondaryDiagonal;\\n }\\n\\n // Check for a winning row or colum\\n for (int i = 0; i < 3; i++) {\\n Row row = new Row(this, i);\\n if (row.isWon()) {\\n return row;\\n }\\n\\n Column column = new Column(this, i);\\n if (column.isWon()) {\\n return column;\\n }\\n }\\n\\n return null;\\n }\",\n \"private boolean checkWinner() {\\n\\t\\tboolean frontDiagWin = !myBoard.isEmpty(0, 0);\\n\\t\\tchar frontDiagToken = myBoard.getCell(0, 0);\\n\\t\\tboolean backDiagWin = !myBoard.isEmpty(0, Board.BOARD_SIZE - 1);\\n\\t\\tchar backDiagToken = myBoard.getCell(0, Board.BOARD_SIZE - 1);\\n\\t\\tfor (int i = 0; i < Board.BOARD_SIZE; i++) {\\n\\t\\t\\t// check Diagonals\\n\\t\\t\\tfrontDiagWin = myBoard.getCell(i, i) == frontDiagToken ? frontDiagWin\\n\\t\\t\\t\\t\\t: false;\\n\\t\\t\\tbackDiagWin = myBoard.getCell(i, (Board.BOARD_SIZE - 1) - i) == backDiagToken ? backDiagWin\\n\\t\\t\\t\\t\\t: false;\\n\\t\\t\\t// check Rows and Columns\\n\\t\\t\\tboolean rowWin = !myBoard.isEmpty(i, 0);\\n\\t\\t\\tchar startRowToken = myBoard.getCell(i, 0);\\n\\t\\t\\tboolean colWin = !myBoard.isEmpty(0, i);\\n\\t\\t\\tchar startColToken = myBoard.getCell(0, i);\\n\\t\\t\\tfor (int j = 0; j < Board.BOARD_SIZE; j++) {\\n\\t\\t\\t\\trowWin = myBoard.getCell(i, j) == startRowToken ? rowWin\\n\\t\\t\\t\\t\\t\\t: false;\\n\\t\\t\\t\\tcolWin = myBoard.getCell(j, i) == startColToken ? colWin\\n\\t\\t\\t\\t\\t\\t: false;\\n\\t\\t\\t}\\n\\t\\t\\tif (rowWin || colWin) {\\n\\t\\t\\t\\tSystem.out.println(\\\"\\\\\\\"\\\"\\n\\t\\t\\t\\t\\t\\t+ (rowWin ? startRowToken : startColToken)\\n\\t\\t\\t\\t\\t\\t+ \\\"\\\\\\\" wins the game!\\\");\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tif (frontDiagWin || backDiagWin) {\\n\\t\\t\\tSystem.out.println(\\\"\\\\\\\"\\\"\\n\\t\\t\\t\\t\\t+ (frontDiagWin ? frontDiagToken : backDiagToken)\\n\\t\\t\\t\\t\\t+ \\\"\\\\\\\" wins the game!\\\");\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"private boolean checkPlayerOneWin()\\n {\\n boolean playerOneWin = false;\\n \\n if( board[0][0] == \\\"X\\\" && board[0][1] == \\\"X\\\" && board[0][2] == \\\"X\\\" )\\n {\\n playerOneWin = true;\\n }\\n else if( board[1][0] == \\\"X\\\" && board[1][1] == \\\"X\\\" && board[1][2] == \\\"X\\\" )\\n {\\n playerOneWin = true;\\n }\\n else if( board[2][0] == \\\"X\\\" && board[2][1] == \\\"X\\\" && board[2][2] == \\\"X\\\" )\\n {\\n playerOneWin = true;\\n }\\n else if( board[0][0] == \\\"X\\\" && board[1][0] == \\\"X\\\" && board[2][0] == \\\"X\\\" )\\n {\\n playerOneWin = true;\\n }\\n else if( board[0][1] == \\\"X\\\" && board[1][1] == \\\"X\\\" && board[2][1] == \\\"X\\\" )\\n {\\n playerOneWin = true;\\n }\\n else if( board[2][0] == \\\"X\\\" && board[2][1] == \\\"X\\\" && board[2][2] == \\\"X\\\" )\\n {\\n playerOneWin = true;\\n }\\n else if( board[0][0] == \\\"X\\\" && board[1][1] == \\\"X\\\" && board[2][2] == \\\"X\\\" )\\n {\\n playerOneWin = true;\\n }\\n else if( board[0][2] == \\\"X\\\" && board[1][1] == \\\"X\\\" && board[2][0] == \\\"X\\\" )\\n {\\n playerOneWin = true;\\n }\\n \\n return playerOneWin;\\n }\",\n \"private int checkRow() {\\n for (int i = 0; i < 3; i++) {\\n if ((this.board[0][i] == this.board[1][i]) && (this.board[0][i] == this.board[2][i])) {\\n return this.board[0][i];\\n }\\n }\\n return 0;\\n }\",\n \"public int terminalTest(int[][] gameBoard) {\\n for (int col = 0; col < gameBoard.length; col++) {\\n for (int row = 0; row < gameBoard[col].length - 3; row++) {\\n if (gameBoard[col][row] == 1 &&\\n gameBoard[col][row + 1] == 1 &&\\n gameBoard[col][row + 2] == 1 &&\\n gameBoard[col][row + 3] == 1) {\\n return 1;\\n } else if (gameBoard[col][row] == 2 &&\\n gameBoard[col][row + 1] == 2 &&\\n gameBoard[col][row + 2] == 2 &&\\n gameBoard[col][row + 3] == 2) {\\n return 2;\\n }\\n }\\n }\\n\\n // check for horizontal win (searching to the right)\\n for (int row = 0; row < gameBoard[0].length; row++) {\\n for (int col = 0; col < gameBoard.length - 3; col++) {\\n if (gameBoard[col][row] == 1 &&\\n gameBoard[col + 1][row] == 1 &&\\n gameBoard[col + 2][row] == 1 &&\\n gameBoard[col + 3][row] == 1) {\\n return 1;\\n } else if (gameBoard[col][row] == 2 &&\\n gameBoard[col + 1][row] == 2 &&\\n gameBoard[col + 2][row] == 2 &&\\n gameBoard[col + 3][row] == 2) {\\n return 2;\\n }\\n }\\n }\\n\\n // check for diagonal win (searching down + right)\\n for (int col = 0; col < gameBoard.length - 3; col++) {\\n for (int row = 0; row < gameBoard[col].length - 3; row++) {\\n if (gameBoard[col][row] == 1 &&\\n gameBoard[col + 1][row + 1] == 1 &&\\n gameBoard[col + 2][row + 2] == 1 &&\\n gameBoard[col + 3][row + 3] == 1) {\\n return 1;\\n } else if (gameBoard[col][row] == 2 &&\\n gameBoard[col + 1][row + 1] == 2 &&\\n gameBoard[col + 2][row + 2] == 2 &&\\n gameBoard[col + 3][row + 3] == 2) {\\n return 2;\\n }\\n }\\n }\\n\\n // check for diagonal win (searching down + left)\\n for (int col = gameBoard.length - 1; col >= 3; col--) {\\n for (int row = 0; row < gameBoard[col].length - 3; row++) {\\n if (gameBoard[col][row] == 1 &&\\n gameBoard[col - 1][row + 1] == 1 &&\\n gameBoard[col - 2][row + 2] == 1 &&\\n gameBoard[col - 3][row + 3] == 1) {\\n return 1;\\n } else if (gameBoard[col][row] == 2 &&\\n gameBoard[col - 1][row + 1] == 2 &&\\n gameBoard[col - 2][row + 2] == 2 &&\\n gameBoard[col - 3][row + 3] == 2) {\\n return 2;\\n }\\n }\\n }\\n\\n return 0; // neither player has won\\n }\",\n \"public GameState won() {\\n if ( (board[0][0] != TileState.BLANK) && (board[0][0] == board[0][1]) && (board[0][0] == board[0][2])) {\\n if (playerOneTurn)\\n return GameState.PLAYER_TWO;\\n else\\n return GameState.PLAYER_ONE;\\n } else if ((board[1][0] != TileState.BLANK) && (board[1][0] == board[1][1]) && (board[1][0] == board[1][2])) {\\n if (playerOneTurn)\\n return GameState.PLAYER_TWO;\\n else\\n return GameState.PLAYER_ONE;\\n } else if ((board[2][0] != TileState.BLANK) && (board[2][0] == board[2][1]) && (board[2][0] == board[2][2])) {\\n if (playerOneTurn)\\n return GameState.PLAYER_TWO;\\n else\\n return GameState.PLAYER_ONE;\\n } else if ((board[0][0] != TileState.BLANK) && (board[0][0] == board[1][1]) && (board[0][0] == board[2][2])) {\\n if (playerOneTurn)\\n return GameState.PLAYER_TWO;\\n else\\n return GameState.PLAYER_ONE;\\n } else if ( (board[0][2] != TileState.BLANK) && (board[0][2] == board[1][1]) && (board[0][2] == board[2][0])) {\\n if (playerOneTurn)\\n return GameState.PLAYER_TWO;\\n else\\n return GameState.PLAYER_ONE;\\n } else if ((board[0][0] != TileState.BLANK) && (board[0][0] == board[1][0]) && (board[0][0] == board[2][0])) {\\n if (playerOneTurn)\\n return GameState.PLAYER_TWO;\\n else\\n return GameState.PLAYER_ONE;\\n } else if ((board[0][1] != TileState.BLANK) && (board[0][1] == board[1][1]) && (board[0][1] == board[2][1])) {\\n if (playerOneTurn)\\n return GameState.PLAYER_TWO;\\n else\\n return GameState.PLAYER_ONE;\\n } else if ((board[0][2] != TileState.BLANK) && (board[0][2] == board[1][2]) && (board[0][2] == board[2][2])) {\\n if (playerOneTurn)\\n return GameState.PLAYER_TWO;\\n else\\n return GameState.PLAYER_ONE;\\n } else if (movesPlayed == 9)\\n return GameState.DRAW;\\n return GameState.IN_PROGRESS;\\n }\",\n \"public int getComMove() {\\n\\n int move;\\n\\n // Checks if a computer played a move in that spot\\n for (int i = 0; i < getBoardSize(); i++) {\\n if (playBoard[i] != REAL_PLAYER && playBoard[i] != COM_PLAYER) {\\n char currPlace = playBoard[i];\\n playBoard[i] = COM_PLAYER;\\n\\n if (winCheck() == 3) {\\n setMove(COM_PLAYER, i);\\n return i;\\n }\\n else {\\n playBoard[i] = currPlace;\\n }\\n }\\n }\\n\\n // Check to block human player from winning\\n for (int i = 0; i < getBoardSize(); i++) {\\n if (playBoard[i] != REAL_PLAYER && playBoard[i] != COM_PLAYER) {\\n char currPlace = playBoard[i];\\n playBoard[i] = REAL_PLAYER;\\n\\n if (winCheck() == 2) {\\n setMove(COM_PLAYER, i);\\n return i;\\n }\\n else {\\n playBoard[i] = currPlace;\\n }\\n }\\n }\\n\\n // If play spot is empty, then make move\\n do {\\n move = randMove.nextInt(getBoardSize());\\n } while (playBoard[move] == REAL_PLAYER || playBoard[move] == COM_PLAYER);\\n setMove(COM_PLAYER, move);\\n\\n return move;\\n }\",\n \"public int getCorners() {\\n //top-left corner case\\n if (board[0][1] != null && board[1][0] != null&& board[0][0]!= null) {\\n if (board[0][1].getPlayerNumber() == board[1][0].getPlayerNumber()\\n && board[0][1].getPlayerNumber() != board[0][0].getPlayerNumber())\\n return board[0][1].getPlayerNumber();\\n }\\n\\n //top-right corner case\\n if (board[0][board.length - 2] != null && board[1][board.length - 1] != null) {\\n if (board[0][board.length - 2].getPlayerNumber() == board[1][board.length - 1].getPlayerNumber()\\n && board[1][board.length - 1].getPlayerNumber() != board[0][board.length - 1].getPlayerNumber())\\n return board[0][board.length - 2].getPlayerNumber();\\n }\\n\\n //bottom-left corner case\\n if (board[board.length - 2][0] != null && board[board.length - 1][1] != null) {\\n if (board[board.length - 2][0].getPlayerNumber() == board[board.length - 1][1].getPlayerNumber()\\n && board[board.length - 1][1].getPlayerNumber() != board[board.length - 1][0].getPlayerNumber())\\n return board[board.length - 1][1].getPlayerNumber();\\n }\\n\\n //bottom-right corner case\\n if (board[board.length - 1][board.length - 2] != null && board[board.length - 2][board.length - 1] != null) {\\n if (board[board.length - 1][board.length - 2].getPlayerNumber() == board[board.length - 2][board.length - 1].getPlayerNumber()\\n && board[board.length - 2][board.length - 1].getPlayerNumber() != board[board.length - 1][board.length - 1].getPlayerNumber())\\n return board[board.length - 1][board.length - 2].getPlayerNumber();\\n }\\n return -1;\\n }\",\n \"public boolean isWinner() {\\n\\t\\t//initialize row, column, and depth\\n\\t\\tint row = 0;\\n\\t\\tint col = 0;\\n\\t\\tint dep = 0;\\n\\t\\t\\n\\t\\t//Checks for a vertical four in a row\\n\\t\\t//row is restriced from the full size to >=3 to avoid\\n\\t\\t//an out of bounds exception\\n\\t\\tfor(row = size - 1; row >= 3; row --)\\n\\t\\t\\tfor(col = 0; col < size; col ++)\\n\\t\\t\\t\\tfor(dep = 0; dep < size; dep ++) {\\n\\t\\t\\t\\t\\t//a variable check is made to save lines\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\t//checks if the value is a player, and it\\n\\t\\t\\t\\t\\t//qualifies as a vertical win. If it does,\\n\\t\\t\\t\\t\\t//the for loop returns true.\\n\\t\\t\\t\\t\\tif (check != -1\\n\\t\\t\\t\\t\\t\\t && check == board[row - 1][col][dep] &&\\n\\t\\t\\t\\t\\t\\t\\tcheck == board[row - 2][col][dep] &&\\n\\t\\t\\t\\t\\t\\t\\tcheck == board[row - 3][col][dep] )\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\n\\t\\t//check for horizontal four in a row\\n\\t\\t//col is restriced and increasing (+)\\n\\t\\tfor (dep = 0; dep < size; dep ++)\\n\\t\\t\\tfor(row = size - 1; row >= 0; row --)\\n\\t\\t\\t\\tfor(col = 0; col < size - 3; col ++) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row][col + 1][dep]\\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row][col + 2][dep] \\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row][col + 3][dep])\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\n\\t\\t\\t\\t}\\n\\t\\t//check for x,y upDiagnol four in a row on each depth\\n\\t\\t//row is restricted and decreasing (-)\\n\\t\\t//col is restricted and increasing (+)\\n\\t\\tfor (dep = 0; dep < size; dep ++)\\n\\t\\t\\tfor(row = size - 1; row >= 3; row --)\\n\\t\\t\\t\\tfor(col = 0; col < size - 3; col ++) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row - 1][col + 1][dep]\\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row - 2][col + 2][dep]\\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row - 3][col + 3][dep])\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t//check for x,y downDiagnol four in a row on each depth\\n\\t\\t//row is restricted and increasing (+)\\n\\t\\t//col is restricted and increasing (+)\\n\\t\\tfor (dep = 0; dep < size; dep ++)\\n\\t\\t\\tfor(row = 0; row < size - 3; row ++)\\n\\t\\t\\t\\tfor(col = 0; col < size - 3; col ++) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row + 1][col + 1][dep]\\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row + 2][col + 2][dep]\\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row + 3][col + 3][dep])\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t//check for x,z horizontal four in a row on each column\\n\\t\\t//dep is restricted and increasing (+)\\n\\t\\tfor(col = 0; col < size; col ++)\\n\\t\\t\\tfor(row = size - 1; row >= 0; row --)\\n\\t\\t\\t\\tfor(dep = 0; dep < size - 3; dep ++) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row][col][dep + 1]\\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row][col][dep + 2]\\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row][col][dep + 3])\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t//check for x,z upDiagnol four in a row on ecah column\\n\\t\\t//row is restricted and decreasing (-)\\n\\t\\t//dep is restricted and increasing (+)\\n\\t\\tfor(col = 0; col < size; col ++)\\n\\t\\t\\tfor(row = size - 1; row >= 3; row --)\\n\\t\\t\\t\\tfor(dep = 0; dep < size - 3; dep ++) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row - 1][col][dep + 1]\\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row - 2][col][dep + 2]\\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row - 3][col][dep + 3])\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t//check for x,z downDiagnol four in a row\\n\\t\\t// dep +, row +\\n\\t\\tfor(col = 0; col < size; col ++)\\n\\t\\t\\tfor(row = 0; row > size - 3; row ++)\\n\\t\\t\\t\\tfor(dep = 0; dep < size - 3; dep ++) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row + 1][col][dep + 1]\\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row + 2][col][dep + 2]\\n\\t\\t\\t\\t\\t\\t\\t&& check == board[row + 3][col][dep + 3])\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\n\\t\\t\\t\\t}\\n\\t\\t//check for x,y,z up diagnol to the top right\\n\\t\\t//row -, col +, dep +\\n\\t\\tfor(row = size - 1; row >= 3; row --)\\n\\t\\t\\tfor(col = 0; col < size - 3; col ++)\\n\\t\\t\\t\\tfor(dep = 0; dep < size - 3; dep ++) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t&& check == board[row - 1][col + 1][dep + 1]\\n\\t\\t\\t\\t\\t\\t&& check == board[row - 2][col + 2][dep + 2]\\n\\t\\t\\t\\t\\t\\t&& check == board[row - 3][col + 3][dep + 3])\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t//check for x,y,z up diagnol to the top left\\n\\t\\t//row -, col -, dep +\\n\\t\\tfor(row = size - 1; row >= 3; row --)\\n\\t\\t\\tfor(col = size -1; col >= 3; col --)\\n\\t\\t\\t\\tfor(dep = 0; dep < size - 3; dep ++) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t&& check == board[row - 1][col - 1][dep + 1]\\n\\t\\t\\t\\t\\t\\t&& check == board[row - 2][col - 2][dep + 2]\\n\\t\\t\\t\\t\\t\\t&& check == board[row - 3][col - 3][dep + 3])\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t//check for x,y,z up diagnol to the down left\\n\\t\\t//row -, col -, dep -\\n\\t\\tfor(row = size - 1; row >= 3; row --)\\n\\t\\t\\tfor(col = size -1; col >= 3; col --)\\n\\t\\t\\t\\tfor(dep = size - 1; dep >= 3; dep --) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t&& check == board[row - 1][col - 1][dep - 1]\\n\\t\\t\\t\\t\\t\\t&& check == board[row - 2][col - 2][dep - 2]\\n\\t\\t\\t\\t\\t\\t&& check == board[row - 3][col - 3][dep - 3])\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t//check for x,y,z up diagnol to the down right\\n\\t\\t//row -, col +, dep -\\n\\t\\tfor(row = size - 1; row >= 3; row --)\\n\\t\\t\\tfor(col = 0; col < size - 3; col ++)\\n\\t\\t\\t\\tfor(dep = size - 1; dep >= 3; dep --) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t&& check == board[row - 1][col + 1][dep - 1]\\n\\t\\t\\t\\t\\t\\t&& check == board[row - 2][col + 2][dep - 2]\\n\\t\\t\\t\\t\\t\\t&& check == board[row - 3][col + 3][dep - 3])\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t//Same as above, but now row increases rather than decreasing\\n\\t\\t//check for down diagnol from top left to center\\n\\t\\t//row +, col +, dep +\\n\\t\\tfor(row = 0; row > size - 3; row ++)\\n\\t\\t\\tfor(col = 0; col < size - 3; col ++)\\n\\t\\t\\t\\tfor(dep = 0; dep < size - 3; dep ++) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1\\n\\t\\t\\t\\t\\t\\t&& check == board[row + 1][col + 1][dep + 1]\\n\\t\\t\\t\\t\\t\\t&& check == board[row + 2][col + 2][dep + 2]\\n\\t\\t\\t\\t\\t\\t&& check == board[row + 3][col + 3][dep + 3])\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t//check for down diagnol from top right to center\\n\\t\\t//row + , col -, dep +\\n\\t\\tfor(row = 0; row > size - 3; row ++)\\n\\t\\t\\tfor(col = size -1; col >= 3; col --)\\n\\t\\t\\t\\tfor(dep = 0; dep < size - 3; dep ++) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t&& check == board[row + 1][col - 1][dep + 1]\\n\\t\\t\\t\\t\\t\\t&& check == board[row + 2][col - 2][dep + 2]\\n\\t\\t\\t\\t\\t\\t&& check == board[row + 3][col - 3][dep + 3])\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t//check for down diagnol from bottom left to center\\n\\t\\t//row +, col -, dep -\\n\\t\\tfor(row = 0; row > size - 3; row ++)\\n\\t\\t\\tfor(col = size -1; col >= 3; col --)\\n\\t\\t\\t\\tfor(dep = size - 1; dep >= 3; dep --) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t&& check == board[row + 1][col - 1][dep - 1]\\n\\t\\t\\t\\t\\t\\t&& check == board[row + 2][col - 2][dep - 2]\\n\\t\\t\\t\\t\\t\\t&& check == board[row + 3][col - 3][dep - 3])\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t//check for down diagnol from bottom right to center\\n\\t\\t//row +, col +, dep -\\n\\t\\tfor(row = 0; row > size - 3; row ++)\\n\\t\\t\\tfor(col = 0; col < size - 3; col ++)\\n\\t\\t\\t\\tfor(dep = size - 1; dep >= 3; dep --) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t&& check == board[row + 1][col + 1][dep - 1]\\n\\t\\t\\t\\t\\t\\t&& check == board[row + 2][col + 2][dep - 2]\\n\\t\\t\\t\\t\\t\\t&& check == board[row + 3][col + 3][dep - 3])\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t\\n\\t\\t//check for diagonals where row stays the same, but x,z change\\n\\t\\t//depth up diagnol, col +, dep +\\n\\t\\tfor(row = size - 1; row >= 0 ; row --)\\n\\t\\t\\tfor(col = 0; col < size - 3; col ++)\\n\\t\\t\\t\\tfor(dep = 0; dep < size - 3; dep ++) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t&& check == board[row][col + 1][dep + 1]\\n\\t\\t\\t\\t\\t\\t&& check == board[row][col + 2][dep + 2]\\n\\t\\t\\t\\t\\t\\t&& check == board[row][col + 3][dep + 3])\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t\\n\\t\\t//depth down diagnol, col +, dep -\\n\\t\\tfor(row = size - 1; row >= 0 ; row --)\\n\\t\\t\\tfor(col = 0; col < size - 3; col ++)\\n\\t\\t\\t\\tfor(dep = size - 1; dep >= 3; dep --) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t&& check == board[row][col + 1][dep - 1]\\n\\t\\t\\t\\t\\t\\t&& check == board[row][col + 2][dep - 2]\\n\\t\\t\\t\\t\\t\\t&& check == board[row][col + 3][dep - 3])\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t\\n\\t\\t// depth down left diagnol, col -, dep +\\n\\t\\tfor(row = size - 1; row >= 0 ; row --)\\n\\t\\t\\tfor(col = size - 1; col >= 3; col --)\\n\\t\\t\\t\\tfor(dep = 0; dep < size - 3; dep ++) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t&& check == board[row][col - 1][dep + 1]\\n\\t\\t\\t\\t\\t\\t&& check == board[row][col - 2][dep + 2]\\n\\t\\t\\t\\t\\t\\t&& check == board[row][col - 3][dep + 3])\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t\\n\\t\\t//depth down right diagnol, col -, dep -\\n\\t\\tfor(row = size - 1; row >= 0 ; row --)\\n\\t\\t\\tfor(col = size - 1; col >= 3; col --)\\n\\t\\t\\t\\tfor(dep = size - 1; dep >= 3; dep --) {\\n\\t\\t\\t\\t\\tint check = board[row][col][dep];\\n\\t\\t\\t\\t\\tif(check != -1 \\n\\t\\t\\t\\t\\t\\t&& check == board[row][col - 1][dep - 1]\\n\\t\\t\\t\\t\\t\\t&& check == board[row][col - 2][dep - 2]\\n\\t\\t\\t\\t\\t\\t&& check == board[row][col - 3][dep - 3])\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t//returns false if none of the above return true\\n\\t\\treturn false;\\n\\t}\",\n \"public static boolean diagonalJudge(String playerMarker, int row, int column){\\n\\n boolean victoryFlag = false;\\n\\n int subRow = 0;\\n int subColumn = 0;\\n int victoryCounter = 0;\\n\\n // Checking first Diagonal\\n // North West\\n\\n subRow = row;\\n subColumn = column;\\n\\n // Store the player's latest move's coordinates\\n\\n winList.add(subColumn);\\n winList.add(subColumn);\\n\\n while ( subRow >= 0 && subColumn >= 0 && !victoryFlag ){\\n\\n subRow--;\\n subColumn--;\\n\\n if ( subRow >= 0 && subColumn >= 0 ){\\n\\n if ( gameBoard[subRow][subColumn].equals(playerMarker) ){\\n winList.add(subRow);\\n winList.add(subColumn);\\n victoryCounter++;\\n\\n if ( victoryCounter == 3){\\n victoryFlag = true;\\n }\\n }\\n\\n else{\\n break;\\n }\\n }\\n }\\n\\n // South East\\n\\n subRow = row;\\n subColumn = column;\\n\\n while ( subRow < 6 && subColumn < 7 && !victoryFlag ){\\n\\n subRow++;\\n subColumn++;\\n\\n if ( subRow < 6 && subColumn < 7 ){\\n\\n if ( gameBoard[subRow][subColumn].equals(playerMarker) ){\\n winList.add(subRow);\\n winList.add(subColumn);\\n victoryCounter++;\\n\\n if ( victoryCounter == 3){\\n victoryFlag = true;\\n }\\n }\\n\\n else{\\n break;\\n }\\n }\\n }\\n\\n if ( !victoryFlag ){\\n winList.clear(); // reset the list, if no one won\\n }\\n else{\\n winDirection = \\\"Left Diagonal\\\";\\n }\\n\\n // Checking the other diagonal\\n // North East\\n\\n victoryCounter = 0;\\n subRow = row;\\n subColumn = column;\\n winList.add(subRow);\\n winList.add(subColumn);\\n\\n while ( subRow >= 0 && subColumn < 7 && !victoryFlag ){\\n\\n subRow--;\\n subColumn++;\\n\\n if ( subRow >= 0 && subColumn < 7 ){\\n\\n if ( gameBoard[subRow][subColumn].equals(playerMarker) ){\\n winList.add(subRow);\\n winList.add(subColumn);\\n victoryCounter++;\\n\\n if ( victoryCounter == 3){\\n winDirection = \\\"Right Diagonal\\\";\\n victoryFlag = true;\\n }\\n }\\n\\n else{\\n break;\\n }\\n }\\n }\\n\\n // South East\\n\\n subRow = row;\\n subColumn = column;\\n\\n while ( subRow < 6 && subColumn >= 0 && !victoryFlag ){\\n\\n subRow++;\\n subColumn--;\\n\\n if ( subRow <= 5 && subColumn >= 0 ){\\n\\n if ( gameBoard[subRow][subColumn].equals(playerMarker) ){\\n winList.add(subRow);\\n winList.add(subColumn);\\n victoryCounter++;\\n\\n if ( victoryCounter == 3){\\n winDirection = \\\"Right Diagonal\\\";\\n victoryFlag = true;\\n }\\n }\\n\\n else{\\n break;\\n }\\n }\\n }\\n\\n if ( !victoryFlag ){\\n winList.clear();\\n }\\n\\n return victoryFlag;\\n }\",\n \"public int getWinner() {\\n //checks corner cells\\n if (getCorners() != -1)\\n return getCorners();\\n\\n //checks border cells\\n if (getBorders() != -1)\\n return getBorders();\\n\\n //check middle cases\\n if (getMiddle() != -1)\\n return getMiddle();\\n\\n return -1;\\n }\",\n \"private boolean checkRowColWin(char symbol) {\\n boolean cols, rows;\\n\\n for (int col = 0; col < SIZE; col++) {\\n cols = true;\\n rows = true;\\n\\n for (int row = 0; row < SIZE; row++) {\\n cols &= (gameField[col][row] == symbol);\\n rows &= (gameField[row][col] == symbol);\\n }\\n if (cols || rows) {\\n return true;\\n }\\n }\\n return false;\\n }\",\n \"public static int checkForWinner(ArrayList<Integer> brd) {\\n int Slot1 = brd.get(0); // get is a method of ArrayList\\n int Slot2 = brd.get(1);\\n int Slot3 = brd.get(2);\\n int Slot4 = brd.get(3);\\n int Slot5 = brd.get(4);\\n int Slot6 = brd.get(5);\\n int Slot7 = brd.get(6);\\n int Slot8 = brd.get(7);\\n int Slot9 = brd.get(8);\\n\\n // row check\\n if (Slot1 == Slot2 && Slot1 == Slot3) {\\n return Slot1; // return the player who won\\n }\\n if (Slot4 == Slot5 && Slot4 == Slot6) {\\n return Slot4; // return the player who won\\n }\\n if (Slot7 == Slot8 && Slot7 == Slot9) {\\n return Slot7; // return the player who won\\n }\\n // column check\\n if (Slot1 == Slot4 && Slot1 == Slot7) {\\n return Slot1; // return the player who won\\n }\\n if (Slot2 == Slot5 && Slot2 == Slot8) {\\n return Slot2; // return the player who won\\n }\\n if (Slot3 == Slot6 && Slot3 == Slot9) {\\n return Slot3; // return the player who won\\n }\\n\\n // cross check\\n if (Slot1 == Slot5 && Slot1 == Slot9) {\\n return Slot1; // return the player who won\\n }\\n if (Slot3 == Slot5 && Slot3 == Slot7) {\\n return Slot3; // return the player who won\\n }\\n\\n // check for tie\\n for (int i = 0; i < brd.size(); i++) {\\n if (brd.get(i) == 0) {\\n return 0; // game isnt over yet\\n }\\n }\\n return 3; // tie\\n }\",\n \"public boolean checkForWinner(String player) {\\r\\n\\t\\t\\r\\n\\t\\t// check rows\\r\\n\\t\\tfor (int row = 0; row < board.length; row++) {\\r\\n\\t\\t\\tint markCounter = 0;\\r\\n\\t\\t\\tfor (int col = 0; col < board[row].length; col++) {\\r\\n\\t\\t\\t\\tif (board[row][col].getText().contains(player)) {\\r\\n\\t\\t\\t\\t\\tmarkCounter++;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\telse if(! (board[row][col].getText().contains(player)) ) {\\r\\n\\t\\t\\t\\t\\tmarkCounter = 0;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tif (markCounter == connectX) {\\r\\n\\t\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\t// check columns\\r\\n\\t\\tfor (int col = 0; col < 7; col++) {\\r\\n\\t\\t\\tint markCounter = 0;\\r\\n\\t\\t\\tfor (int row = board.length - 1; row >= 0; row--) {\\r\\n\\t\\t\\t\\tif(board[row][col].getText().contains(player)) {\\r\\n\\t\\t\\t\\t\\tmarkCounter++;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\telse if(! (board[row][col].getText().contains(player)) ) {\\r\\n\\t\\t\\t\\t\\tmarkCounter = 0;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tif (markCounter == connectX) {\\r\\n\\t\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\t/*\\r\\n\\t\\t * This algorithm checks the right side of the second diagonal on the board. The while loop iterates four times from bottom \\r\\n\\t\\t * to top, right to left. \\r\\n\\t\\t * The reason it only iterates four times is because after a certain point, it is impossible for a player to connect four\\r\\n\\t\\t * so the code does'nt have to check the corners.\\r\\n\\t\\t * \\t\\tO X X X O O O\\r\\n\\t\\t * \\t\\tO O X X X O O\\r\\n\\t\\t * \\t\\tO O O X X X O\\r\\n\\t\\t *\\t\\tO O O O X X X\\r\\n\\t\\t * \\t\\tO O O O O X X\\r\\n\\t\\t * \\t\\tO O O O O O X\\r\\n\\t\\t * \\r\\n\\t\\t */\\r\\n\\t\\tint diag2Count = 0;\\r\\n\\t\\tint row = board.length - 1;\\r\\n\\t\\tint col = 6;\\r\\n\\t\\tint iteration = 0;\\r\\n\\t\\tint rowPlace = row;\\r\\n\\t\\twhile (iteration < 4) {\\r\\n\\t\\t\\trow = rowPlace;\\r\\n\\t\\t\\tcol = 6;\\r\\n\\t\\t\\twhile (row >= 0 && col >= 1) {\\r\\n\\t\\t\\t\\tif (board[row][col].getText().contains(currPlayer)) {\\r\\n\\t\\t\\t\\t\\tdiag2Count++;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tif (!(board[row][col].getText().contains(player))) {\\r\\n\\t\\t\\t\\t\\tdiag2Count = 0; //If there is a chip which does not belong to a player in the sequence, the counter is reset.\\r\\n\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\tif (diag2Count == connectX) {\\r\\n\\t\\t\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\trow--;\\r\\n\\t\\t\\t\\tcol--;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\titeration++;\\r\\n\\t\\t\\trowPlace--;\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t/*\\r\\n\\t\\t * Checks the left hand side of the secondary diagonal. Iterates only 3 times.\\r\\n\\t\\t * of the board.\\r\\n\\t\\t * \\t\\t\\tX O O O O O O\\r\\n\\t\\t * \\t\\t\\tX X O O O O O\\r\\n\\t\\t * \\t\\t\\tX X X O O O O\\r\\n\\t\\t * \\t\\t\\tO X X X O O O\\r\\n\\t\\t * \\t\\t\\tO O X X X O O\\r\\n\\t\\t * \\t\\t\\tO O O X X X O\\r\\n\\t\\t */\\r\\n\\t\\trow = board.length - 1;\\r\\n\\t\\tcol = 3;\\r\\n\\t\\titeration = 0;\\r\\n\\t\\tint colPlace = col;\\r\\n\\t\\twhile (iteration < 4) {\\r\\n\\t\\t\\tcol = colPlace;\\r\\n\\t\\t\\trow = board.length -1;\\r\\n\\t\\t\\twhile (row >= 0 && col >= 0) {\\r\\n\\t\\t\\t\\tif (board[row][col].getText().contains(currPlayer)) {\\r\\n\\t\\t\\t\\t\\tdiag2Count++;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tif (!(board[row][col].getText().contains(player))) {\\r\\n\\t\\t\\t\\t\\tdiag2Count = 0; //If there is a chip which does not belong to a player in the sequence, the counter is reset.\\r\\n\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\tif (diag2Count == connectX) {\\r\\n\\t\\t\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\trow--;\\r\\n\\t\\t\\t\\tcol--;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\titeration++;\\r\\n\\t\\t\\tcolPlace++;\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\t/*\\r\\n\\t\\t * Checks the left hand main Diagonals and iterates 3 times.\\r\\n\\t\\t * \\t\\t\\tO O O X X X O\\r\\n\\t\\t * \\t\\t\\tO O X X X O O\\r\\n\\t\\t * \\t\\t\\tO X X X O O O \\r\\n\\t\\t * \\t\\t\\tX X X O O O O\\r\\n\\t\\t * \\t\\t\\tX X O O O O O\\r\\n\\t\\t * \\t\\t\\tX O O O O O O\\r\\n\\t\\t * \\r\\n\\t\\t */\\r\\n\\t\\trow = 3;\\r\\n\\t\\tcol = 0;\\r\\n\\t\\trowPlace = row;\\r\\n\\t\\titeration = 0;\\r\\n\\t\\tint diagMainCounter = 0;\\r\\n\\t\\twhile (iteration < 3) {\\r\\n\\t\\t\\trow = rowPlace;\\r\\n\\t\\t\\tcol = 0;\\r\\n\\t\\t\\twhile (row >= 0 && col <= 6) {\\r\\n\\t\\t\\t\\tif (board[row][col].getText().contains(currPlayer)) {\\r\\n\\t\\t\\t\\t\\tdiagMainCounter++;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tif (!(board[row][col].getText().contains(player))) {\\r\\n\\t\\t\\t\\t\\tdiagMainCounter = 0; //If there is a chip which does not belong to a player in the sequence, the counter is reset.\\r\\n\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\tif (diagMainCounter == connectX) {\\r\\n\\t\\t\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\trow--;\\r\\n\\t\\t\\t\\tcol++;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\titeration++;\\r\\n\\t\\t\\trowPlace++;\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\t/*\\r\\n\\t\\t * Checks the right hand side of the main diagonal and iterates 4 times.\\r\\n\\t\\t * \\r\\n\\t\\t *\\t\\t\\tO O O O O O X\\r\\n\\t\\t *\\t\\t\\tO O O O O X X\\r\\n\\t\\t *\\t\\t\\tO O O O X X X\\r\\n\\t\\t *\\t\\t\\tO O O X X X O\\r\\n\\t\\t *\\t\\t\\tO O X X X O O\\r\\n\\t\\t *\\t\\t\\tO X X X O O O\\r\\n\\t\\t */\\r\\n\\t\\trow = board.length -1;\\r\\n\\t\\tcol = 0;\\r\\n\\t\\tcolPlace = col;\\r\\n\\t\\titeration = 0;\\r\\n\\t\\tdiagMainCounter = 0;\\r\\n\\t\\twhile (iteration < 4) {\\r\\n\\t\\t\\tcol = colPlace;\\r\\n\\t\\t\\trow = board.length -1;\\r\\n\\t\\t\\twhile (row >= 0 && col <= 6) {\\r\\n\\t\\t\\t\\tif (board[row][col].getText().contains(currPlayer)) {\\r\\n\\t\\t\\t\\t\\tdiagMainCounter++;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tif (!(board[row][col].getText().contains(player))) {\\r\\n\\t\\t\\t\\t\\tdiagMainCounter = 0; //If there is a chip which does not belong to a player in the sequence, the counter is reset.\\r\\n\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\tif (diagMainCounter == connectX) {\\r\\n\\t\\t\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\trow--;\\r\\n\\t\\t\\t\\tcol++;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\titeration++;\\r\\n\\t\\t\\tcolPlace++;\\r\\n\\t\\t}\\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"public static int checkForWin(BitSet state, BitSet theirBoard) {\\n \\n BitSet[] myWins = Shifts.doShifts(state, 5, true);\\n BitSet[] theirWins = Shifts.doShifts(theirBoard, 5, true);\\n\\n\\n boolean iWon = !myWins[0].isEmpty() || !myWins[1].isEmpty() || !myWins[2].isEmpty() || !myWins[3].isEmpty();\\n boolean theyWon = !theirWins[0].isEmpty() || !theirWins[1].isEmpty() || !theirWins[2].isEmpty() || !theirWins[3].isEmpty();\\n \\n if (iWon && theyWon) {\\n //draw, we both have a win\\n return 0;\\n }\\n else if (iWon) {\\n return 3000; \\n }\\n else if (theyWon){\\n return -3000;\\n }\\n else {\\n return 13;\\n }\\n }\",\n \"public static boolean checkWin(int[][] board) {\\n boolean win = true;\\n\\n //loops through rows\\n for (int i = 0; i < board.length; i++) {\\n int checkrow[] = new int[9];\\n int checkcol[] = new int[9];\\n\\n //loops through columns and stores the numbers in that row and in that column\\n for (int j = 0; j < board.length; j++) {\\n checkrow[j] = board[i][j];\\n checkcol[j] = board[j][i];\\n }\\n\\n Arrays.sort(checkrow);//sorts the numbers\\n Arrays.sort(checkcol);\\n\\n //checks the sorted numbers to see if there is a winnner by checking the values of the\\n //sorted array. first number in the array with 1, second with 2, third with 3 etc...\\n // if the numbers dont match at any point then there was not a winner and the program returns\\n //false.\\n for (int x = 1; x < board.length; x++) {\\n if (checkrow[x] != x + 1 || checkcol[x] != x + 1) {\\n win = false;\\n return win;\\n }\\n }\\n }\\n\\n return win;\\n }\",\n \"public int getIntelligentMove(int[] availableMoves, int[] board){\\n for (int move : availableMoves){\\n int[] tempBoard = board.clone();\\n tempBoard[move] = 1;\\n int result = checkWinner(tempBoard);\\n if (result == 1){\\n return move;\\n }\\n \\n }\\n \\n // Check if user can win, if so then block\\n \\n for (int move : availableMoves){\\n int[] tempBoard = board.clone();\\n tempBoard[move] = -1;\\n int result = checkWinner(tempBoard);\\n if (result == 2){\\n return move;\\n }\\n \\n }\\n \\n // If middle is available, take it\\n for (int move: availableMoves){\\n if (move == 4){\\n return move;\\n }\\n }\\n \\n // Move into a corner in a row/col that the user is in\\n int cornerMove = checkCorners(board, availableMoves);\\n if (cornerMove >= 0){\\n \\n }\\n \\n // Otherwise, take random move\\n Random rand = new Random();\\n int possibleMoves = availableMoves.length;\\n int moveIndex = rand.nextInt(possibleMoves);\\n \\n return availableMoves[moveIndex];\\n \\n \\n }\",\n \"public int winner() {\\n if(humanPlayerHits == 17) {\\n return 1;\\n }\\n if(computerPlayerHits == 17){\\n return 2;\\n }\\n return 0;\\n }\",\n \"public boolean winCheck(){\\n for(int i=0; i<3; i++){//goes through rows\\n for(int j=0; j<4; j++){//goes through columns\\n if(board[i][j+3] != 0 && board[i+1][j+2] != 0 && board[i+2][j+1] != 0 && \\n board[i+3][j] != 0)\\n if(board[i][j+3]==(board[i+1][j+2]))\\n if(board[i][j+3]==(board[i+2][j+1]))\\n if(board[i][j+3]==(board[i+3][j])){\\n GBoard[i][j+3].setIcon(star);\\n GBoard[i+1][j+2].setIcon(star);\\n GBoard[i+2][j+1].setIcon(star);\\n GBoard[i+3][j].setIcon(star);\\n wonYet=true;\\n return true;\\n }\\n }\\n }\\n //checks for subdiagonals\\n for(int i=0; i<3; i++){//goes through rows\\n for(int j=0; j<4; j++){//goes through columns\\n if(board[i][j] != 0 && board[i+1][j+1] != 0 && board[i+2][j+2] != 0 &&\\n board[i+3][j+3] != 0)\\n if(board[i][j] == (board[i+1][j+1]))\\n if(board[i][j] == (board[i+2][j+2]))\\n if(board[i][j] == (board[i+3][j+3])){\\n GBoard[i][j].setIcon(star);\\n GBoard[i+1][j+1].setIcon(star);\\n GBoard[i+2][j+2].setIcon(star);\\n GBoard[i+3][j+3].setIcon(star);\\n wonYet=true;\\n return true;\\n } \\n }\\n }\\n //check horizontals\\n for(int i=0; i<6; i++){//goes through rows\\n for(int j=0; j<4; j++){//goes through columns\\n if(board[i][j] != 0 && board[i][j+1] != 0 && board[i][j+2] != 0 && \\n board[i][j+3] != 0){\\n if(board[i][j]==(board[i][j+1]))\\n if(board[i][j]==(board[i][j+2]))\\n if(board[i][j]==(board[i][j+3])){\\n GBoard[i][j].setIcon(star);\\n GBoard[i][j+1].setIcon(star);\\n GBoard[i][j+2].setIcon(star);\\n GBoard[i][j+3].setIcon(star);\\n wonYet=true;\\n return true;\\n }\\n }\\n }\\n }\\n //checks for vertical wins\\n for(int i=0; i<3; i++){//checks rows\\n for(int j=0; j<7; j++){//checks columns\\n if(board[i][j] != 0 && board[i+1][j] != 0 && board[i+2][j] != 0 && \\n board[i+3][j] != 0){\\n if(board[i][j]==(board[i+1][j]))\\n if(board[i][j]==(board[i+2][j]))\\n if(board[i][j]==(board[i+3][j])){\\n GBoard[i][j].setIcon(star);\\n GBoard[i+1][j].setIcon(star);\\n GBoard[i+2][j].setIcon(star);\\n GBoard[i+3][j].setIcon(star);\\n wonYet=true;\\n return true;\\n }\\n }\\n }\\n }\\n return false; \\n }\",\n \"public static int whoseTurn(int[][] board){\\n int[] oneBoard = twoToOne(board);\\n int countOne =0;\\n int countTwo =0;\\n for(int i=0; i<ROW*COLUMN; i++){\\n if(oneBoard[i]==1){\\n countOne++;\\n }\\n else if(oneBoard[i]==2){\\n countTwo++;\\n }\\n }\\n if(countOne>countTwo)\\n return 2;\\n else if(countOne<countTwo)\\n return 1;\\n else\\n //neutral board, hardcode player=computer\\n return 1;\\n \\n }\",\n \"public int winningPlayerIndex(int[][] board, Move lastMove) {\\n int m = board.length;\\n int n = board[0].length;\\n\\n\\n int player = lastMove.playerIndex;\\n int curRow = lastMove.row;\\n int curCol = lastMove.col;\\n\\n\\n int start = Math.max(0, curCol - 3);\\n for (int i = start; i + 3 < n; i++) {\\n if (board[curRow][i] == player && board[curRow][i + 1] == player\\n && board[curRow][i + 2] == player && board[curRow][i + 3] == player) {\\n return player;\\n }\\n }\\n\\n int startRow = Math.max(0, curRow - 3);\\n for (int i = start; i + 3 < m; i++) {\\n if (board[i][curCol] == player && board[i + 1][curCol] == player\\n && board[i + 2][curCol] == player && board[i + 3][curCol] == player) {\\n return player;\\n }\\n }\\n\\n int count = 0;\\n int x = curRow;\\n int y = curCol;\\n while (x >= 0 && y >= 0) {\\n if (board[x][y] == player) {\\n count++;\\n x--;\\n y--;\\n if (count >= 4) {\\n return player;\\n }\\n } else {\\n break;\\n }\\n }\\n\\n x = curRow + 1;\\n y = curCol + 1;\\n while (x < m && y < n) {\\n if (board[x][y] == player) {\\n count++;\\n x++;\\n y++;\\n if (count >= 4) {\\n return player;\\n }\\n } else {\\n break;\\n }\\n }\\n\\n int count1 = 0;\\n int x1 = curRow;\\n int y1 = curCol;\\n while (x1 < m && y1 >= 0) {\\n if (board[x1][y1] == player) {\\n count1++;\\n x1++;\\n y1--;\\n if (count1 >= 4) {\\n return player;\\n }\\n } else {\\n break;\\n }\\n }\\n\\n x1 = curRow - 1;\\n y1 = curCol + 1;\\n while (x1 >= 0 && y1 < n) {\\n if (board[x1][y1] == player) {\\n count1++;\\n x1--;\\n y1++;\\n if (count1 >= 4) {\\n return player;\\n }\\n } else {\\n break;\\n }\\n }\\n\\n\\n\\n// //horizontal\\n// for (int i = 0; i < m; i++) {\\n// for (int j = 0; j + 3 < n; j++) {\\n// if (board[i][j] == player && board[i][j + 1] == player && board[i][j + 2] == player && board[i][j + 3] == player) {\\n// return player;\\n// }\\n// }\\n// }\\n\\n// //vertical\\n// for (int i = 0; i + 3 < m; i++) {\\n// for (int j = 0; j < n; j++) {\\n// if (board[i][j] == player && board[i + 1][j] == player && board[i + 2][j] == player && board[i + 3][j] == player) {\\n// return player;\\n// }\\n// }\\n// }\\n\\n// //diagonal from upper left to lower right\\n// for (int i = 3; i < m; i++) {\\n// for (int j = 3; j < n; j++) {\\n// if (board[i][j] == player && board[i - 1][j - 1] == player && board[i - 2][j - 2] == player && board[i - 3][j - 3] == player) {\\n// return player;\\n// }\\n// }\\n// }\\n\\n// //diagnoal from lower left to upper right\\n// for (int i = 3; i < m; i++) {\\n// for (int j = 0; j + 3 < n; j++) {\\n// if (board[i][j] == player && board[i - 1][j + 1] == player && board[i - 2][j + 2] == player && board[i - 3][j + 3] == player) {\\n// return player;\\n// }\\n// }\\n// }\\n\\n return -1;\\n }\",\n \"private void checkWinningMove(TicTacToeElement element,int x,int y) {\\n int logicalSize = boardProperties.getBoardLength()-1;\\r\\n // Check column (only the one we just played)\\r\\n for(int i=0;i<=logicalSize;i++){\\r\\n if( gameState.getBoard()[x][i] != element.getValue()){\\r\\n break;\\r\\n }\\r\\n // Be sure to be at the last index\\r\\n if(i == logicalSize){\\r\\n gameState.setWinner(element);\\r\\n }\\r\\n\\r\\n }\\r\\n // Check row (only the one we just played)\\r\\n for(int i=0;i<=logicalSize;i++){\\r\\n if( gameState.getBoard()[i][y] != element.getValue()){\\r\\n break;\\r\\n }\\r\\n // Be sure to be at the last index\\r\\n if(i == logicalSize){\\r\\n gameState.setWinner(element);\\r\\n }\\r\\n }\\r\\n // Check diagonal\\r\\n // normal diagonal\\r\\n for(int i= 0;i<=logicalSize;i++){\\r\\n if( gameState.getBoard()[i][i] != element.getValue()){\\r\\n break;\\r\\n }\\r\\n // Be sure to be at the last index\\r\\n if(i == logicalSize){\\r\\n gameState.setWinner(element);\\r\\n }\\r\\n }\\r\\n // anti diagonal\\r\\n for(int i= 0;i<=logicalSize;i++){\\r\\n if( gameState.getBoard()[i][logicalSize-i] != element.getValue()){\\r\\n break;\\r\\n }\\r\\n //Be sure to be at the last index\\r\\n if(i == logicalSize){\\r\\n gameState.setWinner(element);\\r\\n }\\r\\n }\\r\\n // check draw\\r\\n if(gameState.getMoveCount() == Math.pow(logicalSize,2)-1){\\r\\n gameState.setDraw(true);\\r\\n }\\r\\n\\r\\n }\",\n \"public int check(int player) {\\n for(int i=0;i<3;i++){\\n if(board[0][i]+board[1][i]+board[2][i]==3*player) return i+1;\\n if(board[i][0]+board[i][1]+board[i][2]==3*player) return i+4;\\n }\\n //diagonal checks returns 7,8 for right and left diagonal respectively\\n if(board[0][0]+board[1][1]+board[2][2]==3*player) return 7;\\n else if(board[0][2]+board[1][1]+board[2][0]==3*player) return 8;\\n\\n //returns 0 for nothing\\n return 0;\\n }\",\n \"public int whoWin(){\\r\\n int winner = -1;\\r\\n \\r\\n int highest = 0;\\r\\n \\r\\n for(Player player : discWorld.getPlayer_HASH().values()){\\r\\n if(getPlayerPoints(player) > highest){\\r\\n highest = getPlayerPoints(player);\\r\\n winner = player.getID();\\r\\n }\\r\\n \\r\\n }\\r\\n \\r\\n return winner;\\r\\n }\",\n \"public interface IGameBoard {\\r\\n int getNumRows();\\r\\n int getNumColumns();\\r\\n int getNumToWin();\\r\\n void placeToken(char p, int c);\\r\\n boolean checkHorizWin(int r, int c, char p);\\r\\n boolean checkVertWin(int r, int c, char p);\\r\\n boolean checkDiagWin(int r, int c, char p);\\r\\n char whatsAtPos(int r, int c);\\r\\n\\r\\n /**\\r\\n * @pre c > 0, c <= number of columns\\r\\n * @param c is the column the user selected on the most recent turn\\r\\n * @return true if the top of the column is free\\r\\n */\\r\\n default boolean checkIfFree(int c){ // this function checks the top of each row\\r\\n if (whatsAtPos(getNumRows()-1, c) == ' ') // if the top of the row is blank, return true (because there is space in the column)\\r\\n return true;\\r\\n else\\r\\n return false;\\r\\n }\\r\\n\\r\\n /**\\r\\n * @pre c > 0, c <= number of columns\\r\\n * @param c is the column the user selected on the most recent turn\\r\\n * @return true if either player won horizontally, vertically, or diagonally\\r\\n */\\r\\n default boolean checkForWin(int c){ // this function checks for a win horizontally, vertically, and diagonally\\r\\n int row = 0;\\r\\n// for(int i = 0; i < getNumRows(); i++) { // this loop finds the last placed token in the last column chosen (COUNTING UP)\\r\\n// if (whatsAtPos(i, c) == ' ') {\\r\\n// row = i - 1;\\r\\n// break;\\r\\n// }\\r\\n// }\\r\\n for(int i = getNumRows()-1; i >= 0; i--){ // this loop finds the last placed token in the last column chosen (COUNTING DOWN)\\r\\n if(whatsAtPos(i, c) != ' '){\\r\\n row = i;\\r\\n break;\\r\\n }\\r\\n }\\r\\n char player = whatsAtPos(row, c); // set temporary variable player to the last placed token\\r\\n\\r\\n if(checkHorizWin(row, c, player)){ // check for win horizontally\\r\\n return true;\\r\\n }\\r\\n if(checkVertWin(row, c, player)){ // check for win vertically\\r\\n return true;\\r\\n }\\r\\n else if(checkDiagWin(row, c, player)){ // check for win diagonally\\r\\n return true;\\r\\n }\\r\\n else{return false;} // return false if none of these are true\\r\\n }\\r\\n\\r\\n /**\\r\\n * @pre whatsAtPos == 'X', 'O', or ' '\\r\\n * @return true if board is full\\r\\n */\\r\\n default boolean checkTie() { // this function checks for a tie (if the board is full)\\r\\n int count = 0;\\r\\n for(int c = 0; c < getNumColumns(); c++) { // check the top of each column\\r\\n if (!checkIfFree(c)){ // if it is full, increment count\\r\\n count++;\\r\\n }\\r\\n }\\r\\n if(count == getNumColumns()){ // if count reaches the number of columns, all columns are full; it's tie\\r\\n return true; // return true\\r\\n }\\r\\n else{return false;} // if any columns are not full, then it is not a tie\\r\\n }\\r\\n}\",\n \"private int Win_Move() {\\n\\t\\tfinal int POSSIBLE_WIN = 8;\\n\\t\\tint move = NO_MOVE;\\n\\t\\tif(( gameBoard[TOP_LEFT] + gameBoard[TOP_CENTER] + gameBoard[TOP_RIGHT]) == POSSIBLE_WIN){\\n\\t\\t\\tif(gameBoard[TOP_LEFT] == EMPTY){\\n\\t\\t\\t\\tmove = TOP_LEFT;\\n\\t\\t\\t}else if (gameBoard[TOP_CENTER] == EMPTY){\\n\\t\\t\\t\\tmove = TOP_CENTER;\\n\\t\\t\\t}else if (gameBoard[TOP_RIGHT] == EMPTY){\\n\\t\\t\\t\\tmove = TOP_RIGHT;\\n\\t\\t\\t}\\n\\t\\t}else if((gameBoard[CTR_LEFT] + gameBoard[CTR_CENTER] + gameBoard[CTR_RIGHT]) == POSSIBLE_WIN){\\n\\t\\t\\tif(gameBoard[CTR_LEFT] == EMPTY){\\n\\t\\t\\t\\tmove = CTR_LEFT;\\n\\t\\t\\t}else if (gameBoard[CTR_CENTER] == EMPTY){\\n\\t\\t\\t\\tmove = CTR_CENTER;\\n\\t\\t\\t}else if (gameBoard[CTR_RIGHT] == EMPTY){\\n\\t\\t\\t\\tmove = CTR_RIGHT;\\n\\t\\t\\t}\\n\\t\\t}else if((gameBoard[BTM_LEFT] + gameBoard[BTM_CENTER] + gameBoard[BTM_RIGHT]) == POSSIBLE_WIN){\\n\\t\\t\\tif(gameBoard[BTM_LEFT] == EMPTY){\\n\\t\\t\\t\\tmove = BTM_LEFT;\\n\\t\\t\\t}else if (gameBoard[BTM_CENTER] == EMPTY){\\n\\t\\t\\t\\tmove = BTM_CENTER;\\n\\t\\t\\t}else if (gameBoard[BTM_RIGHT] == EMPTY){\\n\\t\\t\\t\\tmove = BTM_RIGHT;\\n\\t\\t\\t}\\n\\t\\t}else if((gameBoard[TOP_LEFT] + gameBoard[CTR_LEFT] + gameBoard[BTM_LEFT]) == POSSIBLE_WIN){\\n\\t\\t\\tif(gameBoard[TOP_LEFT] == EMPTY){\\n\\t\\t\\t\\tmove = TOP_LEFT;\\n\\t\\t\\t}else if (gameBoard[CTR_LEFT] == EMPTY){\\n\\t\\t\\t\\tmove = CTR_LEFT;\\n\\t\\t\\t}else if (gameBoard[BTM_LEFT] == EMPTY){\\n\\t\\t\\t\\tmove = BTM_LEFT;\\n\\t\\t\\t}\\n\\t\\t}else if((gameBoard[TOP_CENTER] + gameBoard[CTR_CENTER] + gameBoard[BTM_CENTER]) == POSSIBLE_WIN){\\n\\t\\t\\tif(gameBoard[TOP_CENTER] == EMPTY){\\n\\t\\t\\t\\tmove = TOP_CENTER;\\n\\t\\t\\t}else if (gameBoard[CTR_CENTER] == EMPTY){\\n\\t\\t\\t\\tmove = CTR_CENTER;\\n\\t\\t\\t}else if (gameBoard[BTM_CENTER] == EMPTY){\\n\\t\\t\\t\\tmove = BTM_CENTER;\\n\\t\\t\\t}\\n\\t\\t}else if((gameBoard[TOP_RIGHT] + gameBoard[CTR_RIGHT] + gameBoard[BTM_RIGHT]) == POSSIBLE_WIN){\\n\\t\\t\\tif(gameBoard[TOP_RIGHT] == EMPTY){\\n\\t\\t\\t\\tmove = TOP_RIGHT;\\n\\t\\t\\t}else if (gameBoard[CTR_RIGHT] == EMPTY){\\n\\t\\t\\t\\tmove = CTR_RIGHT;\\n\\t\\t\\t}else if (gameBoard[BTM_RIGHT] == EMPTY){\\n\\t\\t\\t\\tmove = BTM_RIGHT;\\n\\t\\t\\t}\\n\\t\\t}else if((gameBoard[TOP_LEFT] + gameBoard[CTR_CENTER] + gameBoard[BTM_RIGHT]) == POSSIBLE_WIN){\\n\\t\\t\\tif(gameBoard[TOP_LEFT] == EMPTY){\\n\\t\\t\\t\\tmove = TOP_LEFT;\\n\\t\\t\\t}else if (gameBoard[CTR_CENTER] == EMPTY){\\n\\t\\t\\t\\tmove = CTR_CENTER;\\n\\t\\t\\t}else if (gameBoard[BTM_RIGHT] == EMPTY){\\n\\t\\t\\t\\tmove = BTM_RIGHT;\\n\\t\\t\\t}\\n\\t\\t}else if((gameBoard[TOP_RIGHT] + gameBoard[CTR_CENTER] + gameBoard[BTM_LEFT]) == POSSIBLE_WIN){\\n\\t\\t\\tif(gameBoard[TOP_RIGHT] == EMPTY){\\n\\t\\t\\t\\tmove = TOP_RIGHT;\\n\\t\\t\\t}else if (gameBoard[CTR_CENTER] == EMPTY){\\n\\t\\t\\t\\tmove = CTR_CENTER;\\n\\t\\t\\t}else if (gameBoard[BTM_LEFT] == EMPTY){\\n\\t\\t\\t\\tmove = BTM_LEFT;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn move;\\n\\t}\",\n \"int checkWinner(char mark) {\\n\\t\\tint row, col;\\n\\t\\tint result = 0;\\n\\n\\t\\tfor (row = 0; result == 0 && row < 3; row++) {\\n\\t\\t\\tint row_result = 1;\\n\\t\\t\\tfor (col = 0; row_result == 1 && col < 3; col++)\\n\\t\\t\\t\\tif (theBoard[row][col] != mark)\\n\\t\\t\\t\\t\\trow_result = 0;\\n\\t\\t\\tif (row_result != 0)\\n\\t\\t\\t\\tresult = 1;\\n\\t\\t}\\n\\n\\t\\t\\n\\t\\tfor (col = 0; result == 0 && col < 3; col++) {\\n\\t\\t\\tint col_result = 1;\\n\\t\\t\\tfor (row = 0; col_result != 0 && row < 3; row++)\\n\\t\\t\\t\\tif (theBoard[row][col] != mark)\\n\\t\\t\\t\\t\\tcol_result = 0;\\n\\t\\t\\tif (col_result != 0)\\n\\t\\t\\t\\tresult = 1;\\n\\t\\t}\\n\\n\\t\\tif (result == 0) {\\n\\t\\t\\tint diag1Result = 1;\\n\\t\\t\\tfor (row = 0; diag1Result != 0 && row < 3; row++)\\n\\t\\t\\t\\tif (theBoard[row][row] != mark)\\n\\t\\t\\t\\t\\tdiag1Result = 0;\\n\\t\\t\\tif (diag1Result != 0)\\n\\t\\t\\t\\tresult = 1;\\n\\t\\t}\\n\\t\\tif (result == 0) {\\n\\t\\t\\tint diag2Result = 1;\\n\\t\\t\\tfor (row = 0; diag2Result != 0 && row < 3; row++)\\n\\t\\t\\t\\tif (theBoard[row][3 - 1 - row] != mark)\\n\\t\\t\\t\\t\\tdiag2Result = 0;\\n\\t\\t\\tif (diag2Result != 0)\\n\\t\\t\\t\\tresult = 1;\\n\\t\\t}\\n\\t\\treturn result;\\n\\t}\",\n \"public int evaluate(int[][] gameBoard) {\\n for (int r = 0; r < 3; r++) {\\n if (gameBoard[r][0] == gameBoard[r][1] && gameBoard[r][1] == gameBoard[r][2]) {\\n if (gameBoard[r][0] == ai)\\n return +10;\\n else if (gameBoard[r][0] == human)\\n return -10;\\n }\\n }\\n // Checking for Columns for victory.\\n for (int c = 0; c < 3; c++) {\\n if (gameBoard[0][c] == gameBoard[1][c] && gameBoard[1][c] == gameBoard[2][c]) {\\n //gameLogic.getWinType();\\n if (gameBoard[0][c] == ai)\\n return +10;\\n else if (gameBoard[0][c] == human)\\n return -10;\\n }\\n }\\n // Checking for Diagonals for victory.\\n if (gameBoard[0][0] == gameBoard[1][1] && gameBoard[1][1] == gameBoard[2][2]) {\\n if (gameBoard[0][0] == ai)\\n return +10;\\n else if (gameBoard[0][0] == human)\\n return -10;\\n }\\n if (gameBoard[0][2] == gameBoard[1][1] && gameBoard[1][1] == gameBoard[2][0]) {\\n if (gameBoard[0][2] == ai)\\n return +10;\\n else if (gameBoard[0][2] == human)\\n return -10;\\n }\\n // Else if none of them have won then return 0\\n return 0;\\n }\",\n \"public int decideRandomMove() {\\n return (int) (Math.random() * 4);\\n }\",\n \"public boolean isWon(int row, int column, char piece) {\\n int matches = 0;\\n int tempCol = column;\\n int tempRow = row;\\n //Check below\\n if (row < 3) {\\n for (int i = 1; board[row + i][column] == piece; i++) {\\n if (i == 3) {\\n return true;\\n }\\n }\\n }\\n //Check horizontal\\n while (tempCol > 0 && board[row][tempCol - 1] == piece) {\\n matches++;\\n tempCol--;\\n }\\n tempCol = column;\\n while (tempCol < 6 && board[row][tempCol + 1] == piece) {\\n matches++;\\n tempCol++;\\n }\\n if (matches >= 3) {\\n return true;\\n }\\n matches = 0;\\n tempCol = column;\\n \\n //Check left diagonal\\n while(tempRow < 5 && tempCol > 0 && board[tempRow + 1][tempCol - 1] == piece) {\\n matches++;\\n tempRow++;\\n tempCol--;\\n }\\n tempCol = column;\\n tempRow = row;\\n while (tempRow > 0 && tempCol < 6 && board[tempRow - 1][tempCol + 1] == piece) {\\n matches++;\\n tempRow--;\\n tempCol++;\\n }\\n if (matches >= 3) {\\n return true;\\n }\\n matches = 0;\\n tempCol = column;\\n tempRow = row;\\n //Check right diagonal\\n while(tempRow < 5 && tempCol < 6 && board[tempRow + 1][tempCol + 1] == piece) {\\n matches++;\\n tempRow++;\\n tempCol++;\\n }\\n tempCol = column;\\n tempRow = row;\\n while (tempRow > 0 && tempCol > 0 && board[tempRow - 1][tempCol - 1] == piece) {\\n matches++;\\n tempRow--;\\n tempCol--;\\n }\\n if (matches >= 3) {\\n return true;\\n }\\n return false;\\n\\t}\",\n \"public int corners1() {\\n //above left\\n if (board[0][1] != null && board[1][0] != null) {\\n if (board[0][1].getPlayerNumber() != board[0][0].getPlayerNumber()\\n && board[1][0].getPlayerNumber() != board[0][0].getPlayerNumber())\\n return board[0][0].getPlayerNumber();\\n }\\n //left bottom\\n if (board[0][board.length - 2] != null && board[1][board.length - 1] != null) {\\n if (board[1][board.length - 1].getPlayerNumber() != board[0][board.length - 1].getPlayerNumber() &&\\n board[0][board.length - 2].getPlayerNumber() != board[0][board.length - 1].getPlayerNumber())\\n return board[0][board.length - 1].getPlayerNumber();\\n }\\n //right top\\n if (board[board.length - 2][0] != null && board[board.length - 1][1] != null) {\\n if (board[board.length - 1][1].getPlayerNumber() != board[board.length - 1][0].getPlayerNumber() &&\\n board[board.length - 2][0].getPlayerNumber() != board[board.length - 1][0].getPlayerNumber())\\n return board[board.length - 1][0].getPlayerNumber();\\n }\\n //right bottom\\n if (board[board.length - 1][board.length - 2] != null && board[board.length - 2][board.length - 1] != null) {\\n if (board[board.length - 2][board.length - 1].getPlayerNumber() !=\\n board[board.length - 1][board.length - 1].getPlayerNumber() &&\\n board[board.length - 1][board.length - 2].getPlayerNumber() !=\\n board[board.length - 1][board.length - 1].getPlayerNumber()) {\\n return board[board.length - 1][board.length - 1].getPlayerNumber();\\n }\\n }\\n return -2;\\n\\n }\",\n \"public final boolean checkForWin() {\\r\\n boolean result = false;\\r\\n String player = \\\"\\\";\\r\\n \\r\\n for (Rail rail : rails) {\\r\\n if (rail.isWinner()) {\\r\\n result = true;\\r\\n for(Tile tile : rail.getTiles()) {\\r\\n tile.setBackground(Color.GREEN);\\r\\n player = tile.getText();\\r\\n }\\r\\n if (player.equals(\\\"X\\\")) {\\r\\n winningPlayer = \\\"X\\\";\\r\\n this.xWins++;\\r\\n } else if (player.equals(\\\"0\\\")) {\\r\\n winningPlayer = \\\"0\\\";\\r\\n this.oWins++;\\r\\n }\\r\\n break;\\r\\n }\\r\\n }\\r\\n \\r\\n return result;\\r\\n }\",\n \"public boolean isWinTurn() {\\n for (int col = 0; col < mColsCount; col++) {\\n if (isFourConnected(getCurrentPlayer(), 0, 1, 0, col, 0)\\n || isFourConnected(getCurrentPlayer(), 1, 1, 0, col, 0)\\n || isFourConnected(getCurrentPlayer(), -1, 1, 0, col, 0)) {\\n hasWinner = true;\\n return true;\\n }\\n }\\n\\n for (int row = 0; row < mRowsCount; row++) {\\n if (isFourConnected(getCurrentPlayer(), 1, 0, row, 0, 0)\\n || isFourConnected(getCurrentPlayer(), 1, 1, row, 0, 0)\\n || isFourConnected(getCurrentPlayer(), -1, 1, row, mColsCount - 1, 0)) {\\n hasWinner = true;\\n return true;\\n }\\n }\\n\\n return false;\\n }\",\n \"public Result determineOutcome() {\\n for (int row = 0; row < TicTacToeModel.BOARD_DIMENSION; row++) {\\n if (rowScore[row] == TicTacToeModel.BOARD_DIMENSION){\\n return Result.WIN;\\n } else if (rowScore[row] == -TicTacToeModel.BOARD_DIMENSION) {\\n return Result.LOSE;\\n }\\n }\\n\\n for (int col = 0; col < TicTacToeModel.BOARD_DIMENSION; col++) {\\n if (colScore[col] == TicTacToeModel.BOARD_DIMENSION){\\n return Result.WIN;\\n } else if (colScore[col] == -TicTacToeModel.BOARD_DIMENSION) {\\n return Result.LOSE;\\n }\\n }\\n\\n if (leftDiagScore == TicTacToeModel.BOARD_DIMENSION) return Result.WIN;\\n if (rightDiagScore == TicTacToeModel.BOARD_DIMENSION) return Result.WIN;\\n if (leftDiagScore == -TicTacToeModel.BOARD_DIMENSION) return Result.LOSE;\\n if (rightDiagScore == -TicTacToeModel.BOARD_DIMENSION) return Result.LOSE;\\n\\n if (freeSpace == 0) return Result.DRAW;\\n\\n return Result.INCOMPLETE;\\n }\",\n \"private int gameState() {\\n\\t\\t\\n\\t\\tint gameNotOver = 0;\\n\\t\\tint gameOverWinnerX = 1;\\n\\t\\tint gameOverWinnerO = 2;\\n\\t\\tint gameOverTie = 3;\\n\\t\\t\\n\\t\\t\\n\\t\\t\\n\\t\\t//Win Vertically \\n\\t\\t// 0 3 6 , 1 4 7 , 2 5 8\\n\\t\\t\\t\\t\\n\\t\\t//Win Horizontally\\n\\t\\t//0 1 2 , 3 4 5 , 6 7 8 \\n\\t\\t\\t\\t\\n\\t\\t//Win Diagonally\\n\\t\\t// 0 4 8 , 2 4 6\\n\\t\\t\\t\\t\\n\\t\\t//Assuming it's an equal grid\\n\\t\\t\\t\\t\\n\\t\\tMark winningMark = null;\\n\\t\\t\\t\\t\\n\\t\\tboolean hasFoundWinner = false;\\n\\t\\t\\t\\t\\n\\t\\tint row = 0;\\n\\t\\tint column = 0;\\n\\t\\t\\t\\t\\n\\t\\t//Horizontal Winner Test\\n\\t\\t\\t\\t\\n\\t\\twhile (!hasFoundWinner && row < ROW_COUNT) {\\n\\t\\t\\t\\t\\t\\n\\t\\t\\tMark[] markArray = new Mark[ROW_COUNT];\\n\\t\\t\\t\\t\\t\\n\\t\\t\\tint index = 0;\\n\\t\\t\\twhile (column < COLUMN_COUNT) {\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\tmarkArray[index] = getMark(row, column);\\n\\t\\t\\t\\tcolumn ++;\\n\\t\\t\\t\\tindex++;\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\tif (allElementsEqual(markArray)) {\\n\\t\\t\\t\\thasFoundWinner = true;\\n\\t\\t\\t\\twinningMark = markArray[0];\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tcolumn = 0;\\n\\t\\t\\trow++;\\t\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\tif (hasFoundWinner) {\\n\\t\\t\\tif (winningMark == Mark.X) {\\n\\t\\t\\t\\treturn gameOverWinnerX;\\n\\t\\t\\t}\\n\\t\\t\\tif (winningMark == Mark.O) {\\n\\t\\t\\t\\treturn gameOverWinnerO;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t// Vertical Winner Test\\n\\t\\t\\t\\t\\n\\t\\trow = 0;\\n\\t\\tcolumn = 0;\\n\\n\\t\\twhile (!hasFoundWinner && column < COLUMN_COUNT) {\\n\\t\\t\\t\\t\\t\\n\\t\\t\\tMark[] markArray = new Mark[ROW_COUNT];\\n\\t\\t\\t\\t\\t\\n\\t\\t\\tint index = 0;\\n\\t\\t\\twhile (row < ROW_COUNT) {\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\tmarkArray[index] = getMark(row, column);\\n\\t\\t\\t\\trow++;\\n\\t\\t\\t\\tindex++;\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\tif (allElementsEqual(markArray)) {\\n\\t\\t\\t\\thasFoundWinner = true;\\n\\t\\t\\t\\twinningMark = markArray[0];\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\trow = 0;\\n\\t\\t\\tcolumn++;\\t\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\tif (hasFoundWinner) {\\n\\t\\t\\tif (winningMark == Mark.X) {\\n\\t\\t\\t\\treturn gameOverWinnerX;\\n\\t\\t\\t}\\n\\t\\t\\tif (winningMark == Mark.O) {\\n\\t\\t\\t\\treturn gameOverWinnerO;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t//Diagonal Winner Test \\\"\\\\\\\"\\n\\t\\t\\t\\t\\n\\t\\trow = 0;\\n\\t\\tcolumn = 0;\\n\\t\\t\\t\\t\\n\\t\\twhile (!hasFoundWinner && row < ROW_COUNT) {\\n\\t\\t\\t\\t\\t\\n\\t\\t\\tMark[] markArray = new Mark[COLUMN_COUNT];\\n\\t\\t\\t\\t\\t\\n\\t\\t\\tint index = 0;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\twhile (row < ROW_COUNT) {\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\tmarkArray[index] = getMark(row, column);\\n\\t\\t\\t\\trow++;\\n\\t\\t\\t\\tcolumn++;\\n\\t\\t\\t\\tindex++;\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\n\\t\\t\\tif (allElementsEqual(markArray)) {\\n\\t\\t\\t\\thasFoundWinner = true;\\n\\t\\t\\t\\twinningMark = markArray[0];\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\tif (hasFoundWinner) {\\n\\t\\t\\tif (winningMark == Mark.X) {\\n\\t\\t\\t\\treturn gameOverWinnerX;\\n\\t\\t\\t}\\n\\t\\t\\tif (winningMark == Mark.O) {\\n\\t\\t\\t\\treturn gameOverWinnerO;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t//Diagonal Test \\\"/\\\"\\n\\t\\t\\t\\t\\n\\t\\trow = 0;\\n\\t\\tcolumn = COLUMN_COUNT - 1;\\n\\t\\t\\t\\t\\n\\t\\twhile (!hasFoundWinner && row < ROW_COUNT) {\\n\\t\\t\\t\\t\\t\\n\\t\\t\\tMark[] markArray = new Mark[COLUMN_COUNT];\\n\\t\\t\\t\\t\\t\\n\\t\\t\\tint index = 0;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\twhile (row < ROW_COUNT) {\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\tmarkArray[index] = getMark(row, column);\\n\\t\\t\\t\\trow++;\\n\\t\\t\\t\\tcolumn--;\\n\\t\\t\\t\\tindex++;\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\n\\t\\t\\tif (allElementsEqual(markArray)) {\\n\\t\\t\\t\\thasFoundWinner = true;\\n\\t\\t\\t\\twinningMark = markArray[0];\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t\\tif (hasFoundWinner) {\\n\\t\\t\\tif (winningMark == Mark.X) {\\n\\t\\t\\t\\treturn gameOverWinnerX;\\n\\t\\t\\t}\\n\\t\\t\\tif (winningMark == Mark.O) {\\n\\t\\t\\t\\treturn gameOverWinnerO;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t// If there are no moves left, and there is no winner, game ends inn a tie \\n\\t\\t\\n\\t\\tboolean foundNoMove = false;\\n\\t\\tfor (int i = 0; i < movesArray.length; i++) {\\n\\t\\t\\tif (movesArray[i] == NO_MOVE) {\\n\\t\\t\\t\\tfoundNoMove = true;\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\tif (!foundNoMove && !hasFoundWinner) {\\n\\t\\t\\treturn gameOverTie;\\n\\t\\t}\\n\\t\\t\\n\\t\\t// If there is no winner and there are still moves left, game is not over\\n\\t\\t\\n\\t\\treturn gameNotOver;\\n\\t\\t\\n\\t}\",\n \"public boolean checkWin(int x, int y, int player)\\n {\\n int[][] area = new int[REGION_SIZE][REGION_SIZE];\\n // Copy region of board to do win checking\\n for (int i = REGION_START; i <= REGION_STOP; i++) {\\n for (int j = REGION_START; j <= REGION_STOP; j++) {\\n area[i - REGION_START][j - REGION_START] = getTile(x + i, y + j);\\n }\\n }\\n \\n //Check Horizontal\\n int count = 0;\\n for (int i = 0; i < REGION_SIZE; i++) {\\n if (area[4][i] == player) {\\n count++;\\n } else {\\n count = 0;\\n }\\n if (count == 5) {\\n return true;\\n }\\n }\\n //Check Vertical\\n count = 0;\\n for (int i = 0; i < REGION_SIZE; i++) {\\n if (area[i][4] == player) {\\n count++;\\n } else {\\n count = 0;\\n }\\n if (count == 5) {\\n return true;\\n }\\n }\\n //Check Diagonal '/'\\n count = 0;\\n for (int i = 0; i < REGION_SIZE; i++) {\\n if (area[REGION_SIZE - 1 - i][i] == player) {\\n count++;\\n } else {\\n count = 0;\\n }\\n if (count == 5) {\\n return true;\\n }\\n }\\n //Check Diagonal '\\\\'\\n count = 0;\\n for (int i = 0; i < REGION_SIZE; i++) {\\n if (area[i][i] == player) {\\n count++;\\n } else {\\n count = 0;\\n }\\n if (count == 5) {\\n return true;\\n }\\n }\\n return false;\\n }\",\n \"private static boolean checkWin() {\\n\\t\\tfor (int i = 0; i < nRows; i++)\\n\\t\\t\\tfor (int j = 0; j < nColumns; j++) {\\n\\t\\t\\t\\tCell cell = field.getCellAt(i, j);\\n\\t\\t\\t\\tif (cell.hasMine() && !cell.hasSign())\\t // if the cell has a mine\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// but has no flag\\n\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t\\tif (cell.getFlag() >= 0 && !cell.getVisiblity()) // if the cell has no\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// mine in it but\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// it is not visible\\n\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\twin = gameOver = true;\\n\\t\\treturn true;\\n\\t}\",\n \"private boolean checkWin(Integer playerMove, Location loc)\\n\\t{\\n\\t\\tboolean isWinAcross = true, isWinDown = true, isWinDiag1 = true, isWinDiag2 = true;\\n\\t\\tfor (int col = 0; col < super.getRows() && isWinAcross; col++) //ends loop after isWinAcross is true\\n\\t\\t\\tif (grid[loc.getRow()][col] == null || !grid[loc.getRow()][col].equals(playerMove))\\n\\t\\t\\t\\tisWinAcross = false;\\n\\t\\tfor (int row = 0; row < super.getCols() && isWinDown; row++) //ends loop after isWinDown is true\\n\\t\\t\\tif (grid[row][loc.getCol()] == null || !grid[row][loc.getCol()].equals(playerMove))\\n\\t\\t\\t\\tisWinDown = false;\\n\\t\\tfor (int diagonal = 0; diagonal < super.getCols() && isWinDiag1; diagonal++) //ends loop after isWinDiag1 is true\\n\\t\\t\\tif (grid[diagonal][diagonal] == null || !grid[diagonal][diagonal].equals(playerMove))\\n\\t\\t\\t\\tisWinDiag1 = false;\\n\\t\\tfor (int diagonal2 = 0; diagonal2 < super.getCols() && isWinDiag2; diagonal2++) //ends loop after isWinDiag2 is true\\n\\t\\t\\tif (grid[getCols() - diagonal2 - 1][diagonal2] == null || !grid[getCols() - diagonal2 - 1][diagonal2].equals(playerMove))\\n\\t\\t\\t\\tisWinDiag2 = false;\\n\\t\\treturn isWinAcross || isWinDown || isWinDiag1 || isWinDiag2;\\n\\t}\",\n \"public static boolean ai_NESW(int[][] gameGrid, int pieceTracker, int colNum) //Minor\\n\\t{\\n\\t\\tint streakBonus = 0;\\n\\t\\tcounter++; //Used to make variations in the AI move logic\\n\\t\\tint rowNum = 0; //Used to store the row when finding the row we need to check for win condition\\n\\t\\t//The loop below is used to find the row of last piece dropped to find exact position\\n\\t\\tfor (int posTracker = 0; posTracker < ConnectFour.getRows(); posTracker++)\\n\\t\\t{\\n\\t\\t\\t\\n\\t\\t\\tif (gameGrid[posTracker][colNum] != 0)\\n\\t\\t\\t{\\n\\t\\t\\t\\trowNum = posTracker;\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tfor (int rowTracker = rowNum + 1, colTracker = colNum - 1; colTracker >= 0 && rowTracker < ConnectFour.getRows(); rowTracker++ ,colTracker--)\\n\\t\\t{\\t\\n\\t\\t\\tif (counter %2 == 0) //Used to make the switch in the AI move logic\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tif (gameGrid[rowTracker][colTracker] == pieceTracker) //Increments the streak if consecutive pieces are found\\n\\t\\t\\t{\\n\\t\\t\\t\\tstreakBonus++; \\n\\t\\t\\t\\tif (streakBonus >= 2)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tif (ConnectFour.getFlag()) //Used to prevent same AI move, causing overflow\\n\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\tif (colTracker - 1 > 0) //###\\n\\t\\t\\t\\t\\t{\\t\\n\\t\\t\\t\\t\\t\\tsetCoords(colTracker-1); //###\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tif (ConnectFour.getFlag()) //Used to prevent same AI move, causing overflow\\n\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\tif (colTracker - 2 > 0) //###\\n\\t\\t\\t\\t\\t{\\t\\n\\t\\t\\t\\t\\t\\tsetCoords(colTracker-2); //###\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\telse \\n\\t\\t\\t\\tstreakBonus = 0;\\n\\t\\t}\\n\\t\\tfor (int colTracker = colNum + 1, rowTracker = rowNum - 1; colTracker < ConnectFour.getCols() && rowTracker >= 0; rowTracker--, colTracker++)\\n\\t\\t{\\n\\t\\t\\tif (gameGrid[rowTracker][colTracker] == pieceTracker) //Increments the streak if consecutive pieces are found\\n\\t\\t\\t{\\n\\t\\t\\t\\tstreakBonus++;\\n\\t\\t\\t\\tif (streakBonus >= 2)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tif (ConnectFour.getFlag()) //Used to prevent same AI move, causing overflow\\n\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\tif (colTracker + 1 < ConnectFour.getCols()) //###\\n\\t\\t\\t\\t\\t{\\t\\n\\t\\t\\t\\t\\t\\tsetCoords(colTracker+1); //###\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tif (ConnectFour.getFlag()) //Used to prevent same AI move, causing overflow\\n\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\tif (colTracker + 2 < ConnectFour.getCols()) //###\\n\\t\\t\\t\\t\\t{\\t\\n\\t\\t\\t\\t\\t\\tsetCoords(colTracker+2); //###\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\telse \\n\\t\\t\\t\\tstreakBonus = 0;\\n\\t\\t}\\n\\t\\treturn false; //if steak is not found\\n\\t}\",\n \"private boolean winCheck(int x, int y, char symbol){\\n\\t\\t/* Horizontal */\\n\\t\\tif(y>=2 && board[x][y-2]==symbol && board[x][y-1]==symbol && board[x][y]==symbol)\\n\\t\\t\\treturn true;\\n\\t\\tif(y>=1 && y+1<size && board[x][y-1]==symbol && board[x][y]==symbol && board[x][y+1]==symbol)\\n\\t\\t\\treturn true;\\n\\t\\tif(y+2<size && board[x][y]==symbol && board[x][y+1]==symbol && board[x][y+2]==symbol)\\n\\t\\t\\treturn true;\\n\\t\\t\\n\\t\\t/* Vertical */\\n\\t\\tif(x>=2 && board[x-2][y]==symbol && board[x-1][y]==symbol && board[x][y]==symbol)\\n\\t\\t\\treturn true;\\n\\t\\tif(x>=1 && x+1<size && board[x-1][y]==symbol && board[x][y]==symbol && board[x+1][y]==symbol)\\n\\t\\t\\treturn true;\\n\\t\\tif(x+2<size && board[x][y]==symbol && board[x+1][y]==symbol && board[x+2][y]==symbol)\\n\\t\\t\\treturn true;\\n\\t\\t\\n\\t\\t/* Main Diagonal */\\n\\t\\tif(x>=2 && y>=2 && board[x-2][y-2]==symbol && board[x-1][y-1]==symbol && board[x][y]==symbol)\\n\\t\\t\\treturn true;\\n\\t\\tif(x>=1 && x+1<size && y>=1 && y+1<size && board[x-1][y-1]==symbol && board[x][y]==symbol && board[x+1][y+1]==symbol)\\n\\t\\t\\treturn true;\\n\\t\\tif(x+2<size && y+2<size && board[x][y]==symbol && board[x+1][y+1]==symbol && board[x+2][y+2]==symbol)\\n\\t\\t\\treturn true;\\n\\t\\t\\n\\t\\t/* Anti Diagonal */\\n\\t\\tif(x>=2 && y+2<size && board[x-2][y+2]==symbol && board[x-1][y+1]==symbol && board[x][y]==symbol)\\n\\t\\t\\treturn true;\\n\\t\\tif(x>=1 && x+1<size && y>=1 && y+1<size && board[x+1][y-1]==symbol && board[x][y]==symbol && board[x-1][y+1]==symbol)\\n\\t\\t\\treturn true;\\n\\t\\tif(x+2<size && y>=2 && board[x][y]==symbol && board[x+1][y-1]==symbol && board[x+2][y-2]==symbol)\\n\\t\\t\\treturn true;\\n\\t\\t\\n\\t\\treturn false;\\n\\t}\",\n \"public boolean playerOneWin()\\n\\t{\\n\\t\\tif( (board[ 1 ] == \\\"X\\\") && (board[ 2 ] == \\\"X\\\") && (board[ 3 ] == \\\"X\\\") )\\n\\t\\t{\\n\\t\\t\\treturn true;\\n\\t\\t} // end of if( (board[ 1 ] == \\\"X\\\") && (board[ 2 ] == \\\"X\\\") && (board[ 3 ] == \\\"X\\\") )\\n\\t\\t\\n\\t\\telse if( (board[ 4 ] == \\\"X\\\") && (board[ 5 ] == \\\"X\\\") && (board[ 6 ] == \\\"X\\\") )\\n\\t\\t{\\n\\t\\t\\treturn true;\\n\\t\\t} // end of if( (board[ 4 ] == \\\"X\\\") && (board[ 5 ] == \\\"X\\\") && (board[ 6 ] == \\\"X\\\") ) \\n\\t\\t\\n\\t\\telse if( (board[ 7 ] == \\\"X\\\") && (board[ 8 ] == \\\"X\\\") && (board[ 9 ] == \\\"X\\\") )\\n\\t\\t{\\n\\t\\t\\treturn true;\\n\\t\\t} // end of if( (board[ 7 ] == \\\"X\\\") && (board[ 8 ] == \\\"X\\\") && (board[ 9 ] == \\\"X\\\") )\\n\\t\\t\\n\\t\\telse if( (board[ 1 ] == \\\"X\\\") && (board[ 4 ] == \\\"X\\\") && (board[ 7 ] == \\\"X\\\") )\\n\\t\\t{\\n\\t\\t\\treturn true;\\n\\t\\t} // end of if( (board[ 1 ] == \\\"X\\\") && (board[ 4 ] == \\\"X\\\") && (board[ 7 ] == \\\"X\\\") )\\n\\t\\t\\n\\t\\telse if( (board[ 2 ] == \\\"X\\\") && (board[ 5 ] == \\\"X\\\") && (board[ 8 ] == \\\"X\\\") )\\n\\t\\t{\\n\\t\\t\\treturn true;\\n\\t\\t} // end of if( (board[ 2 ] == \\\"X\\\") && (board[ 5 ] == \\\"X\\\") && (board[ 8 ] == \\\"X\\\") )\\n\\t\\t\\n\\t\\telse if( (board[ 3 ] == \\\"X\\\") && (board[ 6 ] == \\\"X\\\") && (board[ 9 ] == \\\"X\\\") )\\n\\t\\t{\\n\\t\\t\\treturn true;\\n\\t\\t} // end of if( (board[ 3 ] == \\\"X\\\") && (board[ 6 ] == \\\"X\\\") && (board[ 9 ] == \\\"X\\\") )\\n\\t\\t\\n\\t\\telse if( (board[ 1 ] == \\\"X\\\") && (board[ 5 ] == \\\"X\\\") && (board[ 9 ] == \\\"X\\\") )\\n\\t\\t{\\n\\t\\t\\treturn true;\\n\\t\\t}// end of if( (board[ 1 ] == \\\"X\\\") && (board[ 5 ] == \\\"X\\\") && (board[ 9 ] == \\\"X\\\") )\\n\\t\\t\\n\\t\\telse if( (board[ 7 ] == \\\"X\\\") && (board[ 5 ] == \\\"X\\\") && (board[ 9 ] == \\\"X\\\") )\\n\\t\\t{\\n\\t\\t\\treturn true;\\n\\t\\t} // end of if( (board[ 7 ] == \\\"X\\\") && (board[ 5 ] == \\\"X\\\") && (board[ 9 ] == \\\"X\\\") )\\n\\t\\t\\n\\t\\treturn false;\\n\\t}\",\n \"public int performDuel(){\\n Random rand = new Random();\\n int intRand;\\n intRand = rand(6);\\n while(this.engine.getGameInformation().cards[intRand][intRand] == 0 ){\\n intRand = rand(6);\\n }\\n return intRand;\\n }\",\n \"public static char playerHasWon(char[][] board) {\\r\\n\\r\\n\\t //Check each row\\r\\n\\t for(int i = 0; i < 3; i++) {\\r\\n\\t if(board[i][0] == board[i][1] && board[i][1] == board[i][2] && board[i][0] != '-') {\\r\\n\\t return board[i][0];\\r\\n\\t }\\r\\n\\t }\\r\\n\\r\\n\\t //Check each column\\r\\n\\t for(int j = 0; j < 3; j++) {\\r\\n\\t if(board[0][j] == board[1][j] && board[1][j] == board[2][j] && board[0][j] != '-') {\\r\\n\\t return board[0][j];\\r\\n\\t }\\r\\n\\t }\\r\\n\\r\\n\\t //Check the diagonals\\r\\n\\t if(board[0][0] == board[1][1] && board[1][1] == board[2][2] && board[0][0] != '-') {\\r\\n\\t return board[0][0];\\r\\n\\t }\\r\\n\\t if(board[2][0] == board[1][1] && board[1][1] == board[0][2] && board[2][0] != '-') {\\r\\n\\t return board[2][0];\\r\\n\\t }\\r\\n\\r\\n\\t //Otherwise nobody has not won yet\\r\\n\\t return ' ';\\r\\n\\t }\",\n \"public int checkWin(Piece piece) {\\n\\t\\t//check winning and losing\\n\\t\\tint color=piece.getColor();\\n\\t\\tif(piece.isRabbit()) {\\n\\t\\t\\tif(((Rabbit)piece).isOtherSide()) {\\n\\t\\t\\t\\treturn color;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tif(rabbitcount[color]<=0) {\\n\\t\\t\\treturn 3-color;//the opponent wins\\n\\t\\t}\\n\\t\\treturn 0;\\n\\t}\",\n \"public static void turnOfComp() {\\n int row, col, num;\\n\\n row = getRandCell();\\n col = getRandCell();\\n while (isTakenCell(row, col)) {\\n row = getRandCell();\\n col = getRandCell();\\n }\\n\\n num = getRandOdd();\\n while (isUsedNumber(num)) {\\n num = getRandOdd();\\n }\\n board[row - 1][col - 1] = num;\\n System.out.print(\\\"\\\\nComputer's turn.\\\\n\\\"); // Print to tell the user that the board below is from computer's turn\\n printBoard();\\n }\",\n \"boolean horizontalWin(){\\n\\t\\tint match_counter=1;\\n\\t\\tboolean flag=false;\\n\\t\\tfor(int row=0;row<9;row++){\\n\\t\\t\\tfor(int column=0;column<25;column++){\\n\\t\\t\\t\\tif(Board[row][column]!='\\\\u0000'){\\n\\t\\t\\t\\t\\tif(Board[row][column]!='O'){\\n\\t\\t\\t\\t\\t\\tif (Board[row][column]==Board[row][column+1]){\\n\\t\\t\\t\\t\\t\\t\\tmatch_counter++;\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\t\\t\\tflag = false;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tif(match_counter==4){\\n\\t\\t\\t\\t\\tflag=true;\\n\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tif (flag == true)\\n\\t\\t\\t\\tbreak;\\n\\t\\t}\\n\\t\\treturn flag;\\n\\t}\",\n \"private boolean checkBoardVictory() {\\n boolean topRowStatus = checkRowVictory(getTopRow()) != 0;\\n boolean midRowStatus = checkRowVictory(getMidRow()) != 0;\\n boolean vertMidStatus = checkRowVictory(getVerticalMidRow()) != 0;\\n boolean lowRowStatus = checkRowVictory(getLowRow()) != 0;\\n boolean leftMidStatus = checkRowVictory(getVerticalLeftRow()) != 0;\\n boolean rightMidStatus = checkRowVictory(getVerticalRightRow()) != 0;\\n\\n return topRowStatus || midRowStatus || vertMidStatus || lowRowStatus || leftMidStatus\\n || rightMidStatus;\\n }\",\n \"public boolean hasWinner() {\\n\\t\\tint[][] board = myGameBoard.getBoard();\\n\\t\\t\\n\\t\\t// check for vertical win\\n\\t\\tfor(int i = 0; i < board[0].length; i++) {\\n\\t\\t\\tfor(int j = 0; j < board.length - 3; j++) {\\n\\t\\t\\t\\tint thisSlot = board[j][i];\\n\\t\\t\\t\\tif(thisSlot == GameBoard.EMPTY) continue;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif(thisSlot == board[j+1][i]) {\\n\\t\\t\\t\\t\\tif(thisSlot == board[j+2][i]) {\\n\\t\\t\\t\\t\\t\\tif(thisSlot == board[j+3][i]) {\\n\\t\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t// check for horizontal win\\n\\t\\tfor(int i = 0; i < board[0].length - 3; i++) {\\n\\t\\t\\tfor(int j = 0; j < board.length; j++) {\\n\\t\\t\\t\\tint thisSlot = board[j][i];\\n\\t\\t\\t\\tif(thisSlot == GameBoard.EMPTY) continue;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif(thisSlot == board[j][i+1]) {\\n\\t\\t\\t\\t\\tif(thisSlot == board[j][i+2]) {\\n\\t\\t\\t\\t\\t\\tif(thisSlot == board[j][i+3]) {\\n\\t\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t// check for diagonal win left to right, upwards\\n\\t\\tfor(int i = 0; i < board[0].length - 3; i++) {\\n\\t\\t\\tfor(int j = 3; j < board.length; j++) {\\n\\t\\t\\t\\tif(board[j][i] != GameBoard.EMPTY) {\\n\\t\\t\\t\\t\\tint thisSlot = board[j][i];\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tif(board[j-1][i+1] == thisSlot) {\\n\\t\\t\\t\\t\\t\\tif(board[j-2][i+2] == thisSlot) {\\n\\t\\t\\t\\t\\t\\t\\tif(board[j-3][i+3] == thisSlot) {\\n\\t\\t\\t\\t\\t\\t\\t\\treturn true;\\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}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t// check for diagonal win right to left, upwards\\n\\t\\tfor(int i = 3; i < board[0].length; i++) {\\n\\t\\t\\tfor(int j = 3; j < board.length; j++) {\\n\\t\\t\\t\\tif(board[j][i] != GameBoard.EMPTY) {\\n\\t\\t\\t\\t\\tint thisSlot = board[j][i];\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tif(board[j-1][i-1] == thisSlot) {\\n\\t\\t\\t\\t\\t\\tif(board[j-2][i-2] == thisSlot) {\\n\\t\\t\\t\\t\\t\\t\\tif(board[j-3][i-3] == thisSlot) {\\n\\t\\t\\t\\t\\t\\t\\t\\treturn true;\\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}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn false;\\n\\t}\",\n \"public abstract Chip checkWinner();\",\n \"public boolean getWin() {\\n if (targetDistance == 25) {\\n if (missDistance <= 1 && missDistance >= -1) { //checks 25m win\\n return true;\\n }\\n else {\\n return false;\\n }\\n }\\n else if (targetDistance == 50) { //checks 50m win\\n if (missDistance <= 2 && missDistance >= -2) {\\n return true;\\n }\\n else {\\n return false;\\n }\\n }\\n else { //checks 100m win\\n if (missDistance <= 3 && missDistance >= -3) {\\n return true;\\n }\\n else {\\n return false;\\n }\\n }\\n }\",\n \"public TileState choose(int row, int column) {\\n if (playerOneTurn){\\n if (board[row][column] == TileState.BLANK) {\\n playerOneTurn = false;\\n movesPlayed++;\\n board[row][column] = TileState.CROSS;\\n return TileState.CROSS;\\n } else {\\n return TileState.INVALID;\\n }\\n } else {\\n if (board[row][column] == TileState.BLANK) {\\n playerOneTurn = true;\\n movesPlayed++;\\n board[row][column] = TileState.CIRCLE;\\n return TileState.CIRCLE;\\n } else {//(board[row][column] != TileState.BLANK) {\\n return TileState.INVALID;\\n }\\n }\\n }\",\n \"private boolean winningBoard(char[][] board){\\n for(int i = 0; i < boardHeight; i++ ){\\n for(int j = 0; j < boardWidth; j++) {\\n\\n //if white was made it to the other side\\n if(board[i][j] == 'P' && i == 0){\\n return true;\\n }\\n\\n //if black has made it to the other side\\n if(board[i][j] == 'p' && i == boardHeight -1){\\n return true;\\n }\\n }\\n }\\n //no winners\\n return false;\\n }\",\n \"public boolean isWinner(int player) {\\n\\n\\t\\tint winnerCounter1 = 0;\\n\\t\\tint winnerCounter2 = 0;\\n\\t\\tint winnerCounter3 = 0;\\n\\t\\tint delta = 0;\\n\\n//\\t\\t * grid [size][size] där size = 4;\\n//\\t\\t * for (int x = 0; x < grid.length; x++)\\n//\\t\\t * for (int y = 0; y < grid[x].length; y++)\\n//\\t\\t * Här förklarar jag hur funkar de här två forloop:\\n//\\t\\t * nummert efter siffran är indexet\\n//\\t\\t * X0Y0 X1Y0 X2Y0 X3Y0\\n//\\t\\t * X0Y1 X1Y1 X2Y1 X3Y1\\n//\\t\\t * X0Y2 X1Y2 X2Y2 X3Y2\\n//\\t\\t * X0Y3 X1Y3 X2Y3 X3Y3\\n\\n\\t\\tfor (int x = 0; x < getSize(); x++) {\\n\\t\\t\\tfor (int y = 0; y < getSize(); y++) {\\n\\t\\t\\t\\tif (grid[y][x] == player)\\n\\t\\t\\t\\t\\twinnerCounter1++;\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\twinnerCounter1 = 0;\\n\\t\\t\\t\\tif (winnerCounter1 >= INROW) {\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tif (grid[x][y] == player)\\n\\t\\t\\t\\t\\twinnerCounter2++;\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\twinnerCounter2 = 0;\\n\\t\\t\\t\\tif (winnerCounter2 >= INROW) {\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"2\\\");\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\twinnerCounter1 = 0;\\n\\t\\t\\twinnerCounter2 = 0;\\n\\t\\t}\\n\\n\\t\\tfor (int x = 0; x < getSize(); x++) { // diagonally\\n\\t\\t\\tfor (int y = 0; y < getSize(); y++) {\\n\\t\\t\\t\\twhile (x + delta < grid.length - 1 && y + delta < grid.length - 1) {\\n\\t\\t\\t\\t\\tif (grid[x + delta][y + delta] == player) {\\n\\t\\t\\t\\t\\t\\twinnerCounter3++;\\n\\t\\t\\t\\t\\t\\tdelta++;\\n\\t\\t\\t\\t\\t\\tif (winnerCounter3 == INROW) {\\n\\t\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\twinnerCounter3 = 0;\\n\\t\\t\\t\\t\\t\\tdelta++;\\n\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\twinnerCounter3 = 0;\\n\\t\\t\\t\\tdelta = 0;\\n\\t\\t\\t\\twhile (x - delta >= 0 && y + delta < grid.length - 1) {\\n\\t\\t\\t\\t\\tif (grid[x - delta][y + delta] == player) {\\n\\t\\t\\t\\t\\t\\twinnerCounter3++;\\n\\t\\t\\t\\t\\t\\tdelta++;\\n\\t\\t\\t\\t\\t\\tif (winnerCounter3 == INROW) {\\n\\t\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\twinnerCounter3 = 0;\\n\\t\\t\\t\\t\\t\\tdelta++;\\n\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn false;\\n\\n\\t}\",\n \"public ArrayList<Integer> compChoice(ArrayList<ArrayList<String>> board) {\\n // winning move available\\n if (this.aboutToWin(board, 1) != null) {\\n return this.aboutToWin(board, 1);\\n\\n // threat winning pay\\n } else if (playerCanWin(board) != null) {\\n return playerCanWin(board);\\n\\n // center square \\n } else if (board.size() % 2 == 1 && board.get(board.size()/2).get(board.size()/2).isEmpty()) {\\n return new ArrayList<Integer>(Arrays.asList(board.size()/2, board.size()/2));\\n \\n // random\\n } else {\\n Random rand = new Random();\\n String text = \\\"temp\\\";\\n int r1 = 0, r2 = 0;\\n while (!text.isEmpty()) {\\n r1 = rand.nextInt(board.size());\\n r2 = rand.nextInt(board.size());\\n text = board.get(r1).get(r2);\\n }\\n return new ArrayList<Integer>(Arrays.asList(r1, r2));\\n }\\n }\",\n \"private Boolean canWinInRow(PentagoBoard b, int row, Color who) {\\n \\tint amount=0;\\n \\tfor(int i=0; i<b.getSize(); i++) {\\n\\t\\t\\tif(b.getState(i,row) == Color.EMPTY || b.getState(i,row) == who) {\\n\\t\\t\\t\\tamount++;\\n\\t\\t\\t}\\n\\t\\t\\telse\\n\\t\\t\\t\\tamount=0;\\n \\t}\\n \\tif(amount>4)\\n \\t\\treturn true;\\n \\telse\\n \\t\\treturn false;\\n }\",\n \"boolean isWinner() {\\n if(checkTopLeftDownDiag('X') || checkTopLeftDownDiag('O')) {\\n return true;\\n } else if (checkBottomLeftUpDiag('X') || checkBottomLeftUpDiag('O')) {\\n return true;\\n } else if (checkRows('X') || checkRows('O')){\\n return true;\\n }\\n else if (checkColumns('X') || checkColumns('O')){\\n return true;\\n }\\n\\n return false;\\n }\",\n \"private boolean checkDiagonalWin(BoardPosition lastPos){\\r\\n int i, j, k, countTop, countBottom;\\r\\n int check = 5;\\r\\n\\r\\n //checking for diagonals from top to bottom\\r\\n for(i = 0; i < (yMax-yMax)+5; i++){\\r\\n for(j = 0; j < (xMax / 2); j++){\\r\\n countTop = 0;\\r\\n for(k = 0; k < check; k++){\\r\\n if(grid[i+k][j+(2*k)] == lastPos.getPlayer()) {\\r\\n countTop++;\\r\\n }\\r\\n }\\r\\n if(countTop == win) {\\r\\n return true;\\r\\n }\\r\\n }\\r\\n }\\r\\n\\r\\n //checking for diagonals from bottom to top\\r\\n for(i = yMax-1; i > (yMax-yMax)+3; i--){\\r\\n for(j = 0; j < (xMax / 2); j++){\\r\\n countBottom = 0;\\r\\n for(k = 0; k < check; k++){\\r\\n if(grid[i-k][j+(2*k)] == lastPos.getPlayer()) {\\r\\n countBottom++;\\r\\n }\\r\\n }\\r\\n if(countBottom == win) {\\r\\n return true;\\r\\n }\\r\\n }\\r\\n }\\r\\n\\r\\n return false;\\r\\n }\",\n \"public void challengeMove(){\\n int maxOutcome = -1;\\n int returnIndex = -1;\\n Hole lastHole;\\n Hole selectedHole;\\n ArrayList<Hole> availableHoles = availableMoves(nextToPlay);\\n for(int i = 0; i < availableHoles.size(); i++){\\n selectedHole = availableHoles.get(i);\\n lastHole = holes[(selectedHole.getHoleIndex() + selectedHole.getNumberOfKoorgools() - 1) % 18];\\n if(lastHole.getOwner() != nextToPlay){\\n int numOfKorgools = lastHole.getNumberOfKoorgools() +1;\\n if(numOfKorgools == 3 && !nextToPlay.hasTuz()){\\n int otherTuzIndex = getPlayerTuz(Side.WHITE);\\n if(otherTuzIndex == -1 || ((otherTuzIndex + 9) != lastHole.getHoleIndex())) {\\n redistribute(selectedHole.getHoleIndex());\\n return;\\n }\\n redistribute(selectedHole.getHoleIndex());\\n return;\\n }\\n if(numOfKorgools % 2 == 0 && numOfKorgools > maxOutcome){\\n maxOutcome = numOfKorgools;\\n returnIndex = selectedHole.getHoleIndex();\\n }\\n }\\n }\\n if(returnIndex <= -1){\\n randomMove();\\n return;\\n }\\n redistribute(returnIndex);\\n }\",\n \"public Winner whoWins(){\\r\\n\\r\\n /* transfer the matrix to an array */\\r\\n Sign[] flatBoard = flattenBoard();\\r\\n\\r\\n /* check if someone has won */\\r\\n if (CompPlayer.compWon(flatBoard))\\r\\n return Winner.COMPUTER;\\r\\n else if (CompPlayer.playerWon(flatBoard))\\r\\n return Winner.PLAYER;\\r\\n else\\r\\n return Winner.NON;\\r\\n }\",\n \"private boolean hasRowWin() {\\n for (int i = 0; i < rows; i++) {\\n for (int j = 0; j < cols; j++) {\\n if (getBoard()[i][j] != null) {\\n boolean rowWin = rowHasFour(i, j);\\n if (rowWin) {\\n return true;\\n }\\n\\n }\\n }\\n }\\n return false;\\n }\",\n \"private void checkForPlayerChance()\\n\\t\\t\\t{\\n\\t\\t\\t\\tf = false;\\n\\t\\t\\t\\tfor (j = 0; j < 8; ++j)\\n\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\tif (win[j] == 2 && lose[j] == 0)\\n\\t\\t\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\t\\t\\tf = true;\\n\\t\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\tif (f == false)\\n\\t\\t\\t\\t\\tj = 10;\\n\\n\\t\\t\\t}\",\n \"static int waysToGiveACheck(char[][] board) {\\n\\t\\tint[] pawnPos = new int[2];\\n\\t\\tint[] bkPos = new int[2];\\n\\t\\tint[] wkPos = new int[2];\\n\\t\\tint[] forthPos = new int[2];\\n\\t\\tchar fourth = 'x';\\n\\t\\tint answerCount = 0;\\n\\t\\tint hashCount = 0;\\n\\t\\tfor(int board_i = 0; board_i < 8; board_i++){\\n\\t\\t\\tfor(int board_j = 0; board_j < 8; board_j++){\\n\\t\\t\\t\\tswitch(board[board_i][board_j]){\\n\\t\\t\\t\\tcase 35:\\n\\t\\t\\t\\t\\thashCount++;\\n\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\tcase 80:\\n\\t\\t\\t\\t\\t{pawnPos[0] = board_i;\\n\\t\\t\\t\\t\\tpawnPos[1] = board_j;\\n\\t\\t\\t\\t\\tbreak;}\\n\\t\\t\\t\\tcase 107:\\n\\t\\t\\t\\t\\t{bkPos[0] = board_i;\\n\\t\\t\\t\\t\\tbkPos[1] = board_j;\\n\\t\\t\\t\\t\\tbreak;}\\n\\t\\t\\t\\tcase 75:\\n\\t\\t\\t\\t\\t{wkPos[0] = board_i;\\n\\t\\t\\t\\t\\twkPos[1] = board_j;\\n\\t\\t\\t\\t\\tbreak;}\\n\\t\\t\\t\\tdefault:\\n\\t\\t\\t\\t\\t{forthPos[0] = board_i;\\n\\t\\t\\t\\t\\tforthPos[1] = board_j;\\n\\t\\t\\t\\t\\tfourth = board[board_i][board_j];\\n\\t\\t\\t\\t\\tbreak;}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tint xdistPk = Math.abs(pawnPos[0] - bkPos[0]);\\n\\t\\tint ydistPk = Math.abs(pawnPos[1] - bkPos[1]);\\n\\n\\t\\tif(xdistPk == ydistPk)\\n\\t\\t\\tanswerCount = answerCount+2;\\n\\t\\tif(xdistPk==0)\\n\\t\\t\\tanswerCount++;\\n\\t\\tif(ydistPk ==0)\\n\\t\\t\\tanswerCount++;\\n\\t\\tif((xdistPk == 2 && ydistPk==1) || (xdistPk == 1 && ydistPk==2) )\\n\\t\\t\\tanswerCount++;\\n\\n\\t\\treturn answerCount;\\n\\n\\t}\",\n \"public void startSinglePlayerGame() {\\n\\n Scanner scanner = new Scanner(System.in);\\n\\n while (true) {\\n\\n //show map.\\n printMap();\\n //show scoreboard.\\n displayScoreBoard();\\n\\n System.out.println();\\n System.out.println(\\\"Choose your cell :\\\");\\n System.out.println(\\\"------------------\\\");\\n System.out.println();\\n\\n //enter column.\\n System.out.println(\\\"Column (from A-H) : \\\");\\n String column = scanner.next();\\n\\n //enter row.\\n System.out.println(\\\"Row (from 1-8) : \\\");\\n int row = scanner.nextInt();\\n\\n //set player 1.\\n setplayer1('●');\\n\\n //call move method.\\n move(column.charAt(0), row);\\n\\n if (!gameOver()) {\\n endGame();\\n return;\\n }\\n String chars = \\\"ABCDEFGH\\\";\\n\\n //set player 2.\\n setplayer1('◯');\\n //find a random column and row.\\n while (true) {\\n Random random = new Random();\\n int column3 = 0;\\n char column2 = chars.charAt(random.nextInt(chars.length()));\\n int row2 = random.nextInt(8);\\n\\n //change char to number.\\n if (column2 == 'A') column3 = 0;\\n if (column2 == 'B') column3 = 1;\\n if (column2 == 'C') column3 = 2;\\n if (column2 == 'D') column3 = 3;\\n if (column2 == 'E') column3 = 4;\\n if (column2 == 'F') column3 = 5;\\n if (column2 == 'G') column3 = 6;\\n if (column2 == 'H') column3 = 7;\\n\\n //check if the random block is allowed or not.\\n if (isAllowedMove(row2, column3) && isBlockEmpty(row2, column3)) {\\n System.out.println();\\n System.out.println(\\\"Computer choosed cell in Column <\\\" + column2 + \\\"> and Row <\\\" + (row2 + 1) + \\\">\\\");\\n System.out.println();\\n move(column2, row2 + 1);\\n break;\\n }\\n }\\n //check end game.\\n if (!gameOver()) {\\n System.out.println();\\n printMap();\\n displayScoreBoard();\\n endGame();\\n return;\\n }\\n }\\n\\n }\",\n \"private boolean checkIfGameIsWon() {\\n\\n //loop through rows\\n for(int i = 0; i < NUMBER_OF_ROWS; i++) {\\n //gameIsWon = this.quartoBoard.checkRow(i);\\n if (this.quartoBoard.checkRow(i)) {\\n System.out.println(\\\"Win via row: \\\" + (i) + \\\" (zero-indexed)\\\");\\n return true;\\n }\\n\\n }\\n //loop through columns\\n for(int i = 0; i < NUMBER_OF_COLUMNS; i++) {\\n //gameIsWon = this.quartoBoard.checkColumn(i);\\n if (this.quartoBoard.checkColumn(i)) {\\n System.out.println(\\\"Win via column: \\\" + (i) + \\\" (zero-indexed)\\\");\\n return true;\\n }\\n\\n }\\n\\n //check Diagonals\\n if (this.quartoBoard.checkDiagonals()) {\\n System.out.println(\\\"Win via diagonal\\\");\\n return true;\\n }\\n\\n return false;\\n }\",\n \"private boolean isWinner(byte player) {\\n for (int row = 0; row <= 2; row++) {\\n if (board[row][0] == player && board[row][1] == player && board[row][2] == player) {\\n return true;\\n }\\n }\\n for (int column = 0; column <= 2; column++) {\\n if (board[0][column] == player && board[1][column] == player && board[2][column] == player) {\\n return true;\\n }\\n }\\n if (board[0][0] == player && board[1][1] == player && board[2][2] == player) {\\n return true;\\n } else if (board[0][2] == player && board[1][1] == player && board[2][0] == player) {\\n return true;\\n } else {\\n return false;\\n }\\n }\",\n \"public CellSigns gameWinner(){\\n for (int i = 0; i < size; i++) {\\n var firstSign = gameField[i][0].getCurrentSign();\\n int j;\\n for (j = 1; j < size; j++) {\\n var currentSign = gameField[i][j].getCurrentSign();\\n if(firstSign !=currentSign)\\n break;\\n }\\n if(j == size)\\n return firstSign;\\n }\\n\\n //Check vertical lines\\n for (int j = 0; j < size; j++) {\\n var firstSign = gameField[0][j].getCurrentSign();\\n int i;\\n for (i = 1; i < size; i++) {\\n var currentSign = gameField[i][j].getCurrentSign();\\n if(firstSign !=currentSign)\\n break;\\n }\\n if(i == size)\\n return firstSign;\\n }\\n\\n //Check diagonal lines\\n\\n var mainDiagonalSign = gameField[0][0].getCurrentSign();\\n int i;\\n for (i = 1; i < size; i++) {\\n if(mainDiagonalSign != gameField[i][i].getCurrentSign())\\n break;\\n }\\n if(i == size)\\n return mainDiagonalSign;\\n\\n var secondaryDiagonalSign = gameField[0][size-1].getCurrentSign();\\n for (i = 1; i < size; i++) {\\n if(secondaryDiagonalSign!= gameField[i][size-1-i].getCurrentSign())\\n break;\\n }\\n if(i==size)\\n return secondaryDiagonalSign;\\n\\n //No winner\\n return CellSigns.EMPTY;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7284139","0.7104654","0.6932534","0.68327767","0.6809983","0.6788454","0.6765939","0.65822726","0.65763813","0.65308684","0.6508098","0.6497964","0.6475624","0.6444424","0.641199","0.6384879","0.63818955","0.6364739","0.6362011","0.63601094","0.6342892","0.63273895","0.63072467","0.6274136","0.6261048","0.62606627","0.6258372","0.62547123","0.6233357","0.6231753","0.62264216","0.62256217","0.6213752","0.62065387","0.6194892","0.61773026","0.61647505","0.61605203","0.6154531","0.6141077","0.6138337","0.6105174","0.60999334","0.60959876","0.6088571","0.6086185","0.60787964","0.60702014","0.6058826","0.6057384","0.60451883","0.6043893","0.6039497","0.60349953","0.60240316","0.60239774","0.60231435","0.60179937","0.6014094","0.6003666","0.6000746","0.599667","0.5994311","0.59888583","0.59872055","0.5986901","0.59853065","0.5982986","0.5981189","0.5968709","0.59596604","0.59538823","0.5935335","0.5934348","0.59335047","0.5928541","0.59279674","0.5927595","0.5927577","0.5925626","0.5918123","0.5915313","0.5912369","0.5909203","0.5905796","0.5902308","0.5901622","0.5898077","0.58875227","0.58724713","0.5866459","0.58597356","0.58580863","0.5845895","0.5842098","0.58353966","0.58236015","0.5817972","0.5817772","0.5817714","0.58175415"],"string":"[\n \"0.7284139\",\n \"0.7104654\",\n \"0.6932534\",\n \"0.68327767\",\n \"0.6809983\",\n \"0.6788454\",\n \"0.6765939\",\n \"0.65822726\",\n \"0.65763813\",\n \"0.65308684\",\n \"0.6508098\",\n \"0.6497964\",\n \"0.6475624\",\n \"0.6444424\",\n \"0.641199\",\n \"0.6384879\",\n \"0.63818955\",\n \"0.6364739\",\n \"0.6362011\",\n \"0.63601094\",\n \"0.6342892\",\n \"0.63273895\",\n \"0.63072467\",\n \"0.6274136\",\n \"0.6261048\",\n \"0.62606627\",\n \"0.6258372\",\n \"0.62547123\",\n \"0.6233357\",\n \"0.6231753\",\n \"0.62264216\",\n \"0.62256217\",\n \"0.6213752\",\n \"0.62065387\",\n \"0.6194892\",\n \"0.61773026\",\n \"0.61647505\",\n \"0.61605203\",\n \"0.6154531\",\n \"0.6141077\",\n \"0.6138337\",\n \"0.6105174\",\n \"0.60999334\",\n \"0.60959876\",\n \"0.6088571\",\n \"0.6086185\",\n \"0.60787964\",\n \"0.60702014\",\n \"0.6058826\",\n \"0.6057384\",\n \"0.60451883\",\n \"0.6043893\",\n \"0.6039497\",\n \"0.60349953\",\n \"0.60240316\",\n \"0.60239774\",\n \"0.60231435\",\n \"0.60179937\",\n \"0.6014094\",\n \"0.6003666\",\n \"0.6000746\",\n \"0.599667\",\n \"0.5994311\",\n \"0.59888583\",\n \"0.59872055\",\n \"0.5986901\",\n \"0.59853065\",\n \"0.5982986\",\n \"0.5981189\",\n \"0.5968709\",\n \"0.59596604\",\n \"0.59538823\",\n \"0.5935335\",\n \"0.5934348\",\n \"0.59335047\",\n \"0.5928541\",\n \"0.59279674\",\n \"0.5927595\",\n \"0.5927577\",\n \"0.5925626\",\n \"0.5918123\",\n \"0.5915313\",\n \"0.5912369\",\n \"0.5909203\",\n \"0.5905796\",\n \"0.5902308\",\n \"0.5901622\",\n \"0.5898077\",\n \"0.58875227\",\n \"0.58724713\",\n \"0.5866459\",\n \"0.58597356\",\n \"0.58580863\",\n \"0.5845895\",\n \"0.5842098\",\n \"0.58353966\",\n \"0.58236015\",\n \"0.5817972\",\n \"0.5817772\",\n \"0.5817714\",\n \"0.58175415\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":19773,"cells":{"query":{"kind":"string","value":"TODO Autogenerated method stub"},"document":{"kind":"string","value":"@Override\n\tpublic void keyPressed() {\n\t\t\n\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\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}","@Override\n\tpublic void comer() {\n\t\t\n\t}","@Override\n public void perish() {\n \n }","@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}","@Override\n\tpublic void anular() {\n\n\t}","@Override\n\tprotected void getExras() {\n\n\t}","@Override\r\n\tpublic void anularFact() {\n\t\t\r\n\t}","@Override\n\tpublic void entrenar() {\n\t\t\n\t}","@Override\n\tpublic void nadar() {\n\t\t\n\t}","@Override\r\n\tpublic void tires() {\n\t\t\r\n\t}","@Override\r\n\t\t\tpublic void ayuda() {\n\r\n\t\t\t}","@Override\n\tprotected void interr() {\n\t}","@Override\n\tpublic void emprestimo() {\n\n\t}","@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}","@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}","@Override\n\tpublic void grabar() {\n\t\t\n\t}","@Override\n\tpublic void gravarBd() {\n\t\t\n\t}","@Override\r\n\tpublic void rozmnozovat() {\n\t}","@Override\r\n\tpublic void dormir() {\n\t\t\r\n\t}","@Override\n protected void getExras() {\n }","@Override\r\n\tpublic void publierEnchere() {\n\t\t\r\n\t}","@Override\n\tpublic void nefesAl() {\n\n\t}","@Override\n\tpublic void ligar() {\n\t\t\n\t}","@Override\n public void func_104112_b() {\n \n }","@Override\n\tprotected void initdata() {\n\n\t}","@Override\n\tpublic void nghe() {\n\n\t}","@Override\n public void function()\n {\n }","@Override\n public void function()\n {\n }","public final void mo51373a() {\n }","@Override\r\n\tpublic void stehReagieren() {\r\n\t\t//\r\n\t}","@Override\n public void inizializza() {\n\n super.inizializza();\n }","@Override\n\tprotected void initData() {\n\t\t\n\t}","@Override\r\n\t\tpublic void init() {\n\t\t\t\r\n\t\t}","@Override\n\tpublic void sacrifier() {\n\t\t\n\t}","@Override\r\n\tprotected void InitData() {\n\t\t\r\n\t}","public void designBasement() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initialize() {\r\n\t\t\r\n\t\t\r\n\t}","public void gored() {\n\t\t\n\t}","@Override\r\n\tprotected void initData() {\n\r\n\t}","@Override\n\tpublic void einkaufen() {\n\t}","@Override\n protected void initialize() {\n\n \n }","public void mo38117a() {\n }","@Override\n\tprotected void getData() {\n\t\t\n\t}","Constructor() {\r\n\t\t \r\n\t }","@Override\r\n\tpublic void dibujar() {\n\t\t\r\n\t}","@Override\r\n\tpublic void dibujar() {\n\t\t\r\n\t}","@Override\n\tpublic void one() {\n\t\t\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","private stendhal() {\n\t}","@Override\n\tprotected void update() {\n\t\t\n\t}","@Override\n\t\t\tpublic void ic() {\n\t\t\t\t\n\t\t\t}","@Override\n\tprotected void initData() {\n\n\t}","@Override\n\tprotected void initData() {\n\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n public void init() {\n\n }","@Override\n\tprotected void initialize() {\n\t\t\n\t}","@Override\n\tprotected void initialize() {\n\t\t\n\t}","@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","@Override\n\tpublic void debite() {\n\t\t\n\t}","@Override\r\n\tpublic void init() {\n\r\n\t}","@Override\r\n\tpublic void init() {\n\r\n\t}","@Override\r\n\tpublic void init() {\n\r\n\t}","public contrustor(){\r\n\t}","@Override\n\tprotected void initialize() {\n\n\t}","@Override\r\n\tpublic void dispase() {\n\r\n\t}","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","@Override\n\tpublic void dtd() {\n\t\t\n\t}","@Override\n\tprotected void logic() {\n\n\t}","@Override\n\tprotected void lazyLoad() {\n\t\t\n\t}","public void mo4359a() {\n }","@Override\r\n\tprotected void initialize() {\n\r\n\t}","@Override\n public void memoria() {\n \n }","@Override\n\t\tpublic void method() {\n\t\t\t\n\t\t}","private RepositorioAtendimentoPublicoHBM() {\r\t}","@Override\n protected void initialize() \n {\n \n }","@Override\r\n\tpublic void getProposition() {\n\r\n\t}","@Override\n\tpublic void particular1() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\n\t}","@Override\n\tpublic void init() {\n\n\t}","@Override\n\tpublic void init() {\n\n\t}","@Override\n protected void prot() {\n }","@Override\r\n\tpublic void init()\r\n\t{\n\t}","@Override\n\tprotected void initValue()\n\t{\n\n\t}","public void mo55254a() {\n }"],"string":"[\n \"@Override\\r\\n\\tpublic void comer() \\r\\n\\t{\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void comer() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n public void perish() {\\n \\n }\",\n \"@Override\\r\\n\\t\\t\\tpublic void annadir() {\\n\\r\\n\\t\\t\\t}\",\n \"@Override\\n\\tpublic void anular() {\\n\\n\\t}\",\n \"@Override\\n\\tprotected void getExras() {\\n\\n\\t}\",\n \"@Override\\r\\n\\tpublic void anularFact() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void entrenar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void nadar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void tires() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\t\\t\\tpublic void ayuda() {\\n\\r\\n\\t\\t\\t}\",\n \"@Override\\n\\tprotected void interr() {\\n\\t}\",\n \"@Override\\n\\tpublic void emprestimo() {\\n\\n\\t}\",\n \"@Override\\r\\n\\tpublic void bicar() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void bicar() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void grabar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void gravarBd() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void rozmnozovat() {\\n\\t}\",\n \"@Override\\r\\n\\tpublic void dormir() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n protected void getExras() {\\n }\",\n \"@Override\\r\\n\\tpublic void publierEnchere() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void nefesAl() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void ligar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n public void func_104112_b() {\\n \\n }\",\n \"@Override\\n\\tprotected void initdata() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void nghe() {\\n\\n\\t}\",\n \"@Override\\n public void function()\\n {\\n }\",\n \"@Override\\n public void function()\\n {\\n }\",\n \"public final void mo51373a() {\\n }\",\n \"@Override\\r\\n\\tpublic void stehReagieren() {\\r\\n\\t\\t//\\r\\n\\t}\",\n \"@Override\\n public void inizializza() {\\n\\n super.inizializza();\\n }\",\n \"@Override\\n\\tprotected void initData() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\t\\tpublic void init() {\\n\\t\\t\\t\\r\\n\\t\\t}\",\n \"@Override\\n\\tpublic void sacrifier() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tprotected void InitData() {\\n\\t\\t\\r\\n\\t}\",\n \"public void designBasement() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initialize() {\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t}\",\n \"public void gored() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\r\\n\\t}\",\n \"@Override\\n\\tpublic void einkaufen() {\\n\\t}\",\n \"@Override\\n protected void initialize() {\\n\\n \\n }\",\n \"public void mo38117a() {\\n }\",\n \"@Override\\n\\tprotected void getData() {\\n\\t\\t\\n\\t}\",\n \"Constructor() {\\r\\n\\t\\t \\r\\n\\t }\",\n \"@Override\\r\\n\\tpublic void dibujar() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void dibujar() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void one() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"private stendhal() {\\n\\t}\",\n \"@Override\\n\\tprotected void update() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\t\\t\\tpublic void ic() {\\n\\t\\t\\t\\t\\n\\t\\t\\t}\",\n \"@Override\\n\\tprotected void initData() {\\n\\n\\t}\",\n \"@Override\\n\\tprotected void initData() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n public void init() {\\n\\n }\",\n \"@Override\\n\\tprotected void initialize() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tprotected void initialize() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void debite() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"public contrustor(){\\r\\n\\t}\",\n \"@Override\\n\\tprotected void initialize() {\\n\\n\\t}\",\n \"@Override\\r\\n\\tpublic void dispase() {\\n\\r\\n\\t}\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"@Override\\n\\tpublic void dtd() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tprotected void logic() {\\n\\n\\t}\",\n \"@Override\\n\\tprotected void lazyLoad() {\\n\\t\\t\\n\\t}\",\n \"public void mo4359a() {\\n }\",\n \"@Override\\r\\n\\tprotected void initialize() {\\n\\r\\n\\t}\",\n \"@Override\\n public void memoria() {\\n \\n }\",\n \"@Override\\n\\t\\tpublic void method() {\\n\\t\\t\\t\\n\\t\\t}\",\n \"private RepositorioAtendimentoPublicoHBM() {\\r\\t}\",\n \"@Override\\n protected void initialize() \\n {\\n \\n }\",\n \"@Override\\r\\n\\tpublic void getProposition() {\\n\\r\\n\\t}\",\n \"@Override\\n\\tpublic void particular1() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"@Override\\n protected void prot() {\\n }\",\n \"@Override\\r\\n\\tpublic void init()\\r\\n\\t{\\n\\t}\",\n \"@Override\\n\\tprotected void initValue()\\n\\t{\\n\\n\\t}\",\n \"public void mo55254a() {\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6671074","0.6567672","0.6523024","0.6481211","0.6477082","0.64591026","0.64127725","0.63762105","0.6276059","0.6254286","0.623686","0.6223679","0.6201336","0.61950207","0.61950207","0.61922914","0.6186996","0.6173591","0.61327106","0.61285484","0.6080161","0.6077022","0.6041561","0.6024072","0.6020252","0.59984857","0.59672105","0.59672105","0.5965777","0.59485507","0.5940904","0.59239364","0.5910017","0.5902906","0.58946234","0.5886006","0.58839184","0.58691067","0.5857751","0.58503544","0.5847024","0.58239377","0.5810564","0.5810089","0.5806823","0.5806823","0.5800025","0.5792378","0.5792378","0.5792378","0.5792378","0.5792378","0.5792378","0.5790187","0.5789414","0.5787092","0.57844025","0.57844025","0.5774479","0.5774479","0.5774479","0.5774479","0.5774479","0.5761362","0.57596046","0.57596046","0.575025","0.575025","0.575025","0.5747959","0.57337177","0.57337177","0.57337177","0.5721452","0.5715831","0.57142824","0.57140535","0.57140535","0.57140535","0.57140535","0.57140535","0.57140535","0.57140535","0.5711723","0.57041645","0.56991017","0.5696783","0.56881124","0.56774884","0.56734604","0.56728","0.56696945","0.5661323","0.5657007","0.5655942","0.5655942","0.5655942","0.56549734","0.5654792","0.5652974","0.5650185"],"string":"[\n \"0.6671074\",\n \"0.6567672\",\n \"0.6523024\",\n \"0.6481211\",\n \"0.6477082\",\n \"0.64591026\",\n \"0.64127725\",\n \"0.63762105\",\n \"0.6276059\",\n \"0.6254286\",\n \"0.623686\",\n \"0.6223679\",\n \"0.6201336\",\n \"0.61950207\",\n \"0.61950207\",\n \"0.61922914\",\n \"0.6186996\",\n \"0.6173591\",\n \"0.61327106\",\n \"0.61285484\",\n \"0.6080161\",\n \"0.6077022\",\n \"0.6041561\",\n \"0.6024072\",\n \"0.6020252\",\n \"0.59984857\",\n \"0.59672105\",\n \"0.59672105\",\n \"0.5965777\",\n \"0.59485507\",\n \"0.5940904\",\n \"0.59239364\",\n \"0.5910017\",\n \"0.5902906\",\n \"0.58946234\",\n \"0.5886006\",\n \"0.58839184\",\n \"0.58691067\",\n \"0.5857751\",\n \"0.58503544\",\n \"0.5847024\",\n \"0.58239377\",\n \"0.5810564\",\n \"0.5810089\",\n \"0.5806823\",\n \"0.5806823\",\n \"0.5800025\",\n \"0.5792378\",\n \"0.5792378\",\n \"0.5792378\",\n \"0.5792378\",\n \"0.5792378\",\n \"0.5792378\",\n \"0.5790187\",\n \"0.5789414\",\n \"0.5787092\",\n \"0.57844025\",\n \"0.57844025\",\n \"0.5774479\",\n \"0.5774479\",\n \"0.5774479\",\n \"0.5774479\",\n \"0.5774479\",\n \"0.5761362\",\n \"0.57596046\",\n \"0.57596046\",\n \"0.575025\",\n \"0.575025\",\n \"0.575025\",\n \"0.5747959\",\n \"0.57337177\",\n \"0.57337177\",\n \"0.57337177\",\n \"0.5721452\",\n \"0.5715831\",\n \"0.57142824\",\n \"0.57140535\",\n \"0.57140535\",\n \"0.57140535\",\n \"0.57140535\",\n \"0.57140535\",\n \"0.57140535\",\n \"0.57140535\",\n \"0.5711723\",\n \"0.57041645\",\n \"0.56991017\",\n \"0.5696783\",\n \"0.56881124\",\n \"0.56774884\",\n \"0.56734604\",\n \"0.56728\",\n \"0.56696945\",\n \"0.5661323\",\n \"0.5657007\",\n \"0.5655942\",\n \"0.5655942\",\n \"0.5655942\",\n \"0.56549734\",\n \"0.5654792\",\n \"0.5652974\",\n \"0.5650185\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":19774,"cells":{"query":{"kind":"string","value":"For wildcard or type variable, the first bound determines the runtime type."},"document":{"kind":"string","value":"public final Class<? super T> getRawType() {\n Class<?> rawType = getRawTypes().iterator().next();\n @SuppressWarnings(\"unchecked\") // raw type is |T|\n Class<? super T> result = (Class<? super T>) rawType;\n return result;\n }"},"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":["@Test\r\n public void testParameterizedTypeWithWildcardWithTypeVariableBound()\r\n {\r\n Type typeVariable = Types.createTypeVariable(\"E\");\r\n Type wildcardType = Types.createWildcardType(\r\n null, new Type[]{typeVariable});\r\n Type parameterizedType = \r\n Types.createParameterizedType(List.class, null, wildcardType);\r\n test(parameterizedType);\r\n }","@Override\n public boolean isLowerBound(Type argType, Substitution<ReferenceType> subst) {\n ReferenceType boundType = this.boundType.apply(subst);\n if (boundType.equals(JavaTypes.NULL_TYPE)) {\n return true;\n }\n if (argType.isParameterized()) {\n if (!(boundType instanceof ClassOrInterfaceType)) {\n return false;\n }\n InstantiatedType argClassType = (InstantiatedType) argType.applyCaptureConversion();\n InstantiatedType boundSuperType =\n ((ClassOrInterfaceType) boundType)\n .getMatchingSupertype(argClassType.getGenericClassType());\n if (boundSuperType == null) {\n return false;\n }\n boundSuperType = boundSuperType.applyCaptureConversion();\n return boundSuperType.isInstantiationOf(argClassType);\n }\n return boundType.isSubtypeOf(argType);\n }","@Override\r\n\tpublic TypeBinding literalType(BlockScope scope) {\n\t\treturn null;\r\n\t}","static Object resolveGeneric (FXLocal.Context context, Type typ) {\n if (typ instanceof ParameterizedType) {\n ParameterizedType ptyp = (ParameterizedType) typ;\n Type raw = ptyp.getRawType();\n Type[] targs = ptyp.getActualTypeArguments();\n if (raw instanceof Class) {\n String rawName = ((Class) raw).getName();\n if (FXClassType.SEQUENCE_CLASSNAME.equals(rawName) &&\n targs.length == 1) {\n return new FXSequenceType(context.makeTypeRef(targs[0]));\n }\n if (FXClassType.OBJECT_VARIABLE_CLASSNAME.equals(rawName) &&\n targs.length == 1) {\n return context.makeTypeRef(targs[0]);\n }\n if (FXClassType.SEQUENCE_VARIABLE_CLASSNAME.equals(rawName) &&\n targs.length == 1) {\n return new FXSequenceType(context.makeTypeRef(targs[0]));\n }\n if (rawName.startsWith(FXClassType.FUNCTION_CLASSNAME_PREFIX)) {\n FXType[] prtypes = new FXType[targs.length-1];\n for (int i = prtypes.length; --i >= 0; )\n prtypes[i] = context.makeTypeRef(targs[i+1]);\n FXType rettype;\n if (targs[0] == java.lang.Void.class)\n rettype = FXPrimitiveType.voidType;\n else\n rettype = context.makeTypeRef(targs[0]);\n return new FXFunctionType(prtypes, rettype);\n }\n }\n \n typ = raw;\n }\n if (typ instanceof WildcardType) {\n WildcardType wtyp = (WildcardType) typ;\n Type[] upper = wtyp.getUpperBounds();\n Type[] lower = wtyp.getLowerBounds();\n typ = lower.length > 0 ? lower[0] : wtyp.getUpperBounds()[0];\n if (typ instanceof Class) {\n String rawName = ((Class) typ).getName();\n // Kludge, because generics don't handle primitive types.\n FXType ptype = context.getPrimitiveType(rawName);\n if (ptype != null)\n return ptype;\n }\n return context.makeTypeRef(typ);\n }\n if (typ instanceof GenericArrayType) {\n FXType elType = context.makeTypeRef(((GenericArrayType) typ).getGenericComponentType());\n return new FXJavaArrayType(elType);\n }\n if (typ instanceof TypeVariable) {\n // KLUDGE\n typ = Object.class;\n }\n return typ;\n }","public abstract Binding getCommonType(Binding b);","public TypeBinding resolveType(ClassScope scope) {\n\tthis.constant = Constant.NotAConstant;\n\tif (this.resolvedType != null) // is a shared type reference which was already resolved\n\t\treturn this.resolvedType.isValidBinding() ? this.resolvedType : null; // already reported error\n\n\tTypeBinding type = this.resolvedType = getTypeBinding(scope);\n\tif (this.resolvedType == null)\n\t\treturn null; // detected cycle while resolving hierarchy\t\n\tif (!this.resolvedType.isValidBinding()) {\n\t\treportInvalidType(scope);\n\t\treturn null;\n\t}\n\tif (isTypeUseDeprecated(this.resolvedType, scope))\n\t\treportDeprecatedType(scope);\n\ttype = scope.environment().convertToRawType(type);\n\tif (type.isRawType() \n\t\t\t&& (this.bits & IgnoreRawTypeCheck) == 0 \n\t\t\t&& scope.compilerOptions().getSeverity(CompilerOptions.RawTypeReference) != ProblemSeverities.Ignore) {\n\t\tscope.problemReporter().rawTypeReference((/*@OwnPar*/ /*@NoRep*/ TypeReference)this, type);\n\t}\t\t\t\n\treturn this.resolvedType = type;\t\n}","public TypeBinding resolveType(BlockScope scope, boolean checkBounds) {\n\tthis.constant = Constant.NotAConstant;\n\tif (this.resolvedType != null) // is a shared type reference which was already resolved\n\t\treturn this.resolvedType.isValidBinding() ? this.resolvedType : null; // already reported error\n\n\tTypeBinding type = this.resolvedType = getTypeBinding(scope);\n\tif (this.resolvedType == null)\n\t\treturn null; // detected cycle while resolving hierarchy\t\n\tif (!this.resolvedType.isValidBinding()) {\n\t\treportInvalidType(scope);\n\t\treturn null;\n\t}\n\tif (isTypeUseDeprecated(this.resolvedType, scope))\n\t\treportDeprecatedType(scope);\n\ttype = scope.environment().convertToRawType(type);\n\tif (type.isRawType() \n\t\t\t&& (this.bits & IgnoreRawTypeCheck) == 0 \n\t\t\t&& scope.compilerOptions().getSeverity(CompilerOptions.RawTypeReference) != ProblemSeverities.Ignore) {\t\n\t\tscope.problemReporter().rawTypeReference((/*@OwnPar*/ /*@NoRep*/ TypeReference)this, type);\n\t}\t\t\t\n\treturn this.resolvedType = type;\n}","private Type adaptBoundRecursively(Type bound, Adaptation previous) {\n\t\tif (bound.isLinkedToFormalType()) {\n\t\t\tint pos = bound.getFormalType().getPosition();\n\t\t\treturn previous.get(pos);\n\t\t}\n\n\t\tif (bound.isGeneric()) {\n\t\t\t// build a new type definition\n\t\t\tType adaptedBound = new Type(bound.getName(), bound.getIntro());\n\n\t\t\tfor (Type gt : bound.getGenericTypes()) {\n\t\t\t\t// Adapt generic type and replace formal types by previous\n\t\t\t\t// adaptation\n\t\t\t\tType adaptedGt = adaptBoundRecursively(gt, previous);\n\t\t\t\tadaptedBound.addGenericType(adaptedGt);\n\t\t\t}\n\t\t\treturn adaptedBound;\n\t\t}\n\t\treturn bound;\n\t}","@Override\n public boolean isUpperBound(Type argType, Substitution<ReferenceType> subst) {\n ReferenceType boundType = this.boundType.apply(subst);\n if (boundType.equals(JavaTypes.OBJECT_TYPE)) {\n return true;\n }\n if (boundType.isParameterized()) {\n if (!(argType instanceof ClassOrInterfaceType)) {\n return false;\n }\n InstantiatedType boundClassType = (InstantiatedType) boundType.applyCaptureConversion();\n InstantiatedType argSuperType =\n ((ClassOrInterfaceType) argType)\n .getMatchingSupertype(boundClassType.getGenericClassType());\n if (argSuperType == null) {\n return false;\n }\n argSuperType = argSuperType.applyCaptureConversion();\n return argSuperType.isInstantiationOf(boundClassType);\n }\n return argType.isSubtypeOf(boundType);\n }","@Override\r\n\tpublic Node visitVarType(VarTypeContext ctx) {\n\t\treturn super.visitVarType(ctx);\r\n\t}","public abstract TypeBindings bindingsForBeanType();","public TypeBinding resolveSuperType(ClassScope scope) {\n\tif (resolveType(scope) == null) return null;\n\n\tif (this.resolvedType.isTypeVariable()) {\n\t\tthis.resolvedType = new ProblemReferenceBinding(getTypeName(), (ReferenceBinding) this.resolvedType, ProblemReasons.IllegalSuperTypeVariable);\n\t\treportInvalidType(scope);\n\t\treturn null;\n\t}\n\treturn this.resolvedType;\n}","Type<?> get(String name);","public static TypeReference newTypeParameterBoundReference(int sort, int paramIndex, int boundIndex) {\n/* 241 */ return new TypeReference(sort << 24 | paramIndex << 16 | boundIndex << 8);\n/* */ }","public abstract Type getSpecializedType(Type type);","public VarTypeNative getFieldVarType();","private void internalResolve(Scope scope, boolean staticContext) {\n\t\tif (this.binding != null) {\n\t\t\tBinding existingType = scope.parent.getBinding(this.name, Binding.TYPE, (/*@OwnPar*/ /*@NoRep*/ TypeParameter)this, false);\n\t\t\tif (existingType != null \n\t\t\t\t\t&& this.binding != existingType \n\t\t\t\t\t&& existingType.isValidBinding()\n\t\t\t\t\t&& (existingType.kind() != Binding.TYPE_PARAMETER || !staticContext)) {\n\t\t\t\tscope.problemReporter().typeHiding((/*@OwnPar*/ /*@NoRep*/ TypeParameter)this, existingType);\n\t\t\t}\n\t\t}\n\t}","public final void typeBound() throws RecognitionException {\n int typeBound_StartIndex = input.index();\n try { dbg.enterRule(getGrammarFileName(), \"typeBound\");\n if ( getRuleLevel()==0 ) {dbg.commence();}\n incRuleLevel();\n dbg.location(241, 1);\n\n try {\n if ( state.backtracking>0 && alreadyParsedRule(input, 13) ) { return ; }\n // Java.g:242:5: ( type ( '&' type )* )\n dbg.enterAlt(1);\n\n // Java.g:242:9: type ( '&' type )*\n {\n dbg.location(242,9);\n pushFollow(FOLLOW_type_in_typeBound580);\n type();\n\n state._fsp--;\n if (state.failed) return ;\n dbg.location(242,14);\n // Java.g:242:14: ( '&' type )*\n try { dbg.enterSubRule(22);\n\n loop22:\n do {\n int alt22=2;\n try { dbg.enterDecision(22);\n\n int LA22_0 = input.LA(1);\n\n if ( (LA22_0==43) ) {\n alt22=1;\n }\n\n\n } finally {dbg.exitDecision(22);}\n\n switch (alt22) {\n \tcase 1 :\n \t dbg.enterAlt(1);\n\n \t // Java.g:242:15: '&' type\n \t {\n \t dbg.location(242,15);\n \t match(input,43,FOLLOW_43_in_typeBound583); if (state.failed) return ;\n \t dbg.location(242,19);\n \t pushFollow(FOLLOW_type_in_typeBound585);\n \t type();\n\n \t state._fsp--;\n \t if (state.failed) return ;\n\n \t }\n \t break;\n\n \tdefault :\n \t break loop22;\n }\n } while (true);\n } finally {dbg.exitSubRule(22);}\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n if ( state.backtracking>0 ) { memoize(input, 13, typeBound_StartIndex); }\n }\n dbg.location(243, 5);\n\n }\n finally {\n dbg.exitRule(getGrammarFileName(), \"typeBound\");\n decRuleLevel();\n if ( getRuleLevel()==0 ) {dbg.terminate();}\n }\n\n return ;\n }","@Override\n\tpublic void visit(NumericBind arg0) {\n\t\t\n\t}","private static boolean matchParameter(IType type, @NotNull PsiType candidate, @NotNull Map<String, IType> typeVarMap, @Nullable PsiSubstitutor substitutor, boolean isStatic) {\n boolean result = false;\n\n if (type instanceof IMetaType) {\n type = ((IMetaType) type).getType();\n }\n\n IType basicPattern = type.isParameterizedType() ? type.getGenericType() : type;\n String patternName = basicPattern.getName();\n IType candidateType;\n\n if( candidate instanceof PsiEllipsisType ) {\n candidate = ((PsiEllipsisType)candidate).toArrayType();\n }\n\n if( candidate instanceof PsiArrayType && type.isArray() ) {\n return matchParameter( type.getComponentType(), ((PsiArrayType)candidate).getComponentType(), typeVarMap, substitutor, isStatic );\n }\n\n if (candidate instanceof PsiClassType) {\n PsiClassType candidateAsPsiClass = (PsiClassType) candidate;\n PsiClass resolvedCandidate = candidateAsPsiClass.resolve();\n String candidateName;\n if (resolvedCandidate != null) {\n if (resolvedCandidate instanceof PsiTypeParameter && substitutor != null) {\n resolvedCandidate = maybeSubstituteType(resolvedCandidate, substitutor);\n if (isStatic) {\n resolvedCandidate = stripToBoundingType((PsiTypeParameter) resolvedCandidate);\n }\n }\n if (resolvedCandidate instanceof PsiTypeParameter) {\n candidateName = resolvedCandidate.getName();\n } else {\n candidateName = resolvedCandidate.getQualifiedName();\n }\n } else {\n candidateName = candidate.getCanonicalText();\n }\n candidateType = typeVarMap.get(candidateName);\n if (candidateType != null) {\n result = type.equals(candidateType);\n }\n if( !result ) {\n result = candidateName.equals(patternName);\n if (result) {\n if( type instanceof ITypeVariableType && resolvedCandidate instanceof PsiTypeParameter ) {\n PsiClassType boundingType = JavaPsiFacadeUtil.getElementFactory( resolvedCandidate.getProject() ).createType( stripToBoundingType( (PsiTypeParameter)resolvedCandidate ) );\n result = matchParameter( TypeLord.getPureGenericType( ((ITypeVariableType)type).getBoundingType() ), boundingType, typeVarMap, substitutor, isStatic ) ||\n matchParameter( ((ITypeVariableType)type).getBoundingType(), boundingType, typeVarMap, substitutor, isStatic );\n }\n else {\n PsiType[] candidateTypeParams = candidateAsPsiClass.getParameters();\n IType[] patternTypeParams = type.getTypeParameters();\n int candidateTypeParamLength = candidateTypeParams != null ? candidateTypeParams.length : 0;\n int patternTypeParamLength = patternTypeParams != null ? patternTypeParams.length : 0;\n if (patternTypeParamLength == candidateTypeParamLength) {\n for (int i = 0; i < patternTypeParamLength; i++) {\n if (!matchParameter(patternTypeParams[i], candidateTypeParams[i], typeVarMap, substitutor, isStatic)) {\n result = false;\n break;\n }\n }\n } else {\n result = false;\n }\n }\n }\n }\n } else {\n PsiType unboundedCandidate = removeBounds(candidate);\n candidateType = typeVarMap.get(unboundedCandidate.getCanonicalText());\n if (candidateType != null) {\n result = type.equals(candidateType);\n } else {\n result = unboundedCandidate.equalsToText(patternName);\n }\n }\n if (!result && type instanceof IShadowingType) {\n return matchShadowedTypes((IShadowingType) type, candidate, typeVarMap, substitutor, isStatic);\n }\n return result;\n }","private String resolveRawTypeName(String typeName) {\n\t\tif (typeName == null) {\n\t\t\treturn null;\n\t\t}\n\n\t\tboolean isArray = typeName.startsWith(StringPool.LEFT_SQ_BRACKET);\n\t\tif (isArray) {\n\t\t\ttypeName = typeName.substring(1);\n\t\t}\n\n\t\tString rawTypeName;\n\n\t\tif (generics.containsKey(typeName)) {\n\t\t\trawTypeName = generics.get(typeName);\n\t\t}\n\t\telse {\n\t\t\trawTypeName = targetClassInfo.getGenerics().getOrDefault(typeName, typeName);\n\t\t}\n\n\t\tif (isArray) {\n\t\t\trawTypeName = '[' + rawTypeName;\n\t\t}\n\n\t\treturn rawTypeName;\n\t}","@Override\n public String visit(WildcardType n, Object arg) {\n return null;\n }","public interface n {\n void a(au<?> auVar);\n}","public abstract TypeLiteral<?> toTypeLiteral(Type type);","Binding<T> withAnyQualifier();","public abstract BoundType a();","ReferenceBound(ReferenceType boundType) {\n this.boundType = boundType;\n }","public interface Binding {\n\n /**\n * Get the declared type of the variable\n * @return the declared type\n */\n\n public SequenceType getRequiredType();\n\n /**\n * Evaluate the variable\n * @param context the XPath dynamic evaluation context\n * @return the result of evaluating the variable\n */\n\n public ValueRepresentation evaluateVariable(XPathContext context) throws XPathException;\n\n /**\n * Indicate whether the binding is local or global. A global binding is one that has a fixed\n * value for the life of a query or transformation; any other binding is local.\n * @return true if the binding is global\n */\n\n public boolean isGlobal();\n\n /**\n * If this is a local variable held on the local stack frame, return the corresponding slot number.\n * In other cases, return -1.\n * @return the slot number on the local stack frame\n */\n\n public int getLocalSlotNumber();\n\n /**\n * Get the name of the variable\n * @return the name of the variable, as a structured QName\n */\n\n public StructuredQName getVariableQName();\n\n}","public void setAnyType(java.lang.Object param) {\n this.localAnyType = param;\n }","public Binding getGenericType(List<Binding> types) {\r\n assert types == types;\r\n return null;\r\n }","public final void typeParameter() throws RecognitionException {\n int typeParameter_StartIndex = input.index();\n try { dbg.enterRule(getGrammarFileName(), \"typeParameter\");\n if ( getRuleLevel()==0 ) {dbg.commence();}\n incRuleLevel();\n dbg.location(237, 1);\n\n try {\n if ( state.backtracking>0 && alreadyParsedRule(input, 12) ) { return ; }\n // Java.g:238:5: ( Identifier ( 'extends' typeBound )? )\n dbg.enterAlt(1);\n\n // Java.g:238:9: Identifier ( 'extends' typeBound )?\n {\n dbg.location(238,9);\n match(input,Identifier,FOLLOW_Identifier_in_typeParameter546); if (state.failed) return ;\n dbg.location(238,20);\n // Java.g:238:20: ( 'extends' typeBound )?\n int alt21=2;\n try { dbg.enterSubRule(21);\n try { dbg.enterDecision(21);\n\n int LA21_0 = input.LA(1);\n\n if ( (LA21_0==38) ) {\n alt21=1;\n }\n } finally {dbg.exitDecision(21);}\n\n switch (alt21) {\n case 1 :\n dbg.enterAlt(1);\n\n // Java.g:238:21: 'extends' typeBound\n {\n dbg.location(238,21);\n match(input,38,FOLLOW_38_in_typeParameter549); if (state.failed) return ;\n dbg.location(238,31);\n pushFollow(FOLLOW_typeBound_in_typeParameter551);\n typeBound();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n break;\n\n }\n } finally {dbg.exitSubRule(21);}\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n if ( state.backtracking>0 ) { memoize(input, 12, typeParameter_StartIndex); }\n }\n dbg.location(239, 5);\n\n }\n finally {\n dbg.exitRule(getGrammarFileName(), \"typeParameter\");\n decRuleLevel();\n if ( getRuleLevel()==0 ) {dbg.terminate();}\n }\n\n return ;\n }","public interface MagicType extends Type {\n\n\t/**\n\t * Given that we are a type specified in a replacement rule (e.g. a Var or\n\t * Atom), can we consume a submatch of the given type in the match?\n\t *\n\t * Alternatively, we could have overriden .equals().\n\t */\n\tboolean replacementfor(Type o);\n}","public T caseType(Type object) {\r\n\t\treturn null;\r\n\t}","public T caseType(Type object) {\n\t\treturn null;\n\t}","public String TypeOf(String name) {\n\t\tValues tmp = currScope.get(name);\n\t\t\n\t\tif(tmp != null)\n\t\t\treturn tmp.getType();\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.getType();\n\t\t}\n\t\t\n\t\treturn null;\n\t}","public T caseTypeAlias(TypeAlias object) {\r\n\t\treturn null;\r\n\t}","public abstract BoundType b();","public static boolean hasNoExplicitBound(final AnnotatedTypeMirror wildcard) {\n return ((Type.WildcardType) wildcard.getUnderlyingType()).isUnbound();\n }","public ITypeBinding getType() {\n\t\treturn binding;\n\t}","@Override\n\tpublic ValueList caseATypeBind(ATypeBind bind, ObjectContext ctxt)\n\t\t\tthrows AnalysisException\n\t{\n\t\treturn new ValueList();\n\t}","public void any_type() {\n if (var_type()) {\n return;\n }\n if (lexer.token != Symbol.VOID) {\n error.signal(\"Wrong type\");\n }\n lexer.nextToken();\n }","private static String type(String arg) {\n if ( arg.contains(\".\") )\n return \"ip\";\n try {\n Integer.parseInt(arg);\n return \"port\";\n } catch (NumberFormatException ignored) {\n return arg;\n }\n }","public T caseTypeParameter(TypeParameter object) {\n\t\treturn null;\n\t}","private String getSqLiteType(Class<?> value){\r\n\t\tString sn = value.getSimpleName();\r\n\t\tif(sn.equalsIgnoreCase(\"String\"))\r\n\t\t\treturn \"text\";\r\n\t\tif(sn.equalsIgnoreCase(\"int\") || sn.equalsIgnoreCase(\"Integer\") || \r\n\t\t sn.equalsIgnoreCase(\"long\") || sn.equalsIgnoreCase(\"Long\") || \r\n\t\t sn.equalsIgnoreCase(\"BigDecimal\")){\r\n\t\t\treturn \"integer\";\r\n\t\t}\r\n\t\tif(sn.equalsIgnoreCase(\"double\") || sn.equalsIgnoreCase(\"Double\") || \r\n\t\t sn.equalsIgnoreCase(\"float\") || sn.equalsIgnoreCase(\"Float\")){\r\n\t\t\treturn \"integer\";\r\n\t\t}\r\n\t\tif(sn.equalsIgnoreCase(\"byte[]\") || sn.equalsIgnoreCase(\"Byte[]\")){\r\n\t\t\treturn \"blob\";\r\n\t\t}\r\n\t\tthrow new NullPointerException(\"type not found \" + sn);\r\n\t}","public Parameter getTypeParameter(StratmasObject object)\n {\n // Find youngest base type with a mapping\n for (Type walker = object.getType(); \n walker != null; walker = walker.getBaseType()) {\n ParameterFactory parameterFactory = (ParameterFactory) getTypeMapping().get(walker);\n if (parameterFactory != null) {\n return parameterFactory.getParameter(object);\n }\n }\n\n return null;\n }","public T caseDatatype(Datatype object)\n {\n return null;\n }","private boolean checkForType(IfStmt ifStmt, FieldDeclaration compareVariable) {\n boolean isOfType = false;\n BinaryExpr ifAsBinary = ifStmt.getCondition().asBinaryExpr();\n String comparedTypeName = compareVariable.getVariables().get(0).getNameAsString();\n if (!ifAsBinary.getLeft().isNullLiteralExpr()) {\n isOfType |= ifAsBinary.getLeft().asNameExpr().getNameAsString().equals(\n comparedTypeName);\n }\n if (!ifAsBinary.getRight().isNullLiteralExpr()) {\n isOfType |= ifAsBinary.getRight().asNameExpr().getNameAsString().equals(\n comparedTypeName);\n }\n return isOfType;\n }","protected <T> T getValue(String key, T defaultVal, Bound<? extends Number> bound) {\r\n return getValue(key, null, defaultVal, bound);\r\n }","public static boolean isUnboundedOrSuperBounded(final AnnotatedWildcardType wildcardType) {\n return ((Type.WildcardType) wildcardType.getUnderlyingType()).isSuperBound();\n }","public void addLowerConstraint(String type) {\n\t\tfinal JvmLowerBound constraint = this.jvmTypesFactory.createJvmLowerBound();\n\t\tconstraint.setTypeReference(newTypeRef(this.context, type));\n\t\tgetJvmTypeParameter().getConstraints().add(constraint);\n\t}","private void checkTypes(Variable first, Variable second) throws OutmatchingParameterType {\n VariableVerifier.VerifiedTypes firstType = first.getType();\n VariableVerifier.VerifiedTypes secondType = second.getType();\n\n if (!firstType.equals(secondType)) {\n throw new OutmatchingParameterType();\n }\n }","@Generated(value={\"edu.jhu.cs.bsj.compiler.utils.generator.SourceGenerator\"})\npublic interface TypeParameterNode extends Node, TypeNameBindingNode\n{\n /**\n * Gets the base type name for the parameter.\n * @return The base type name for the parameter.\n * @throws ClassCastException If the value of this property is a special node.\n */\n public IdentifierNode getIdentifier()throws ClassCastException;\n \n /**\n * Gets the union object for the base type name for the parameter.\n * @return A union object representing The base type name for the parameter.\n */\n public NodeUnion<? extends IdentifierNode> getUnionForIdentifier();\n \n /**\n * Changes the base type name for the parameter.\n * @param identifier The base type name for the parameter.\n */\n public void setIdentifier(IdentifierNode identifier);\n \n /**\n * Changes the base type name for the parameter.\n * @param identifier The base type name for the parameter.\n * @throws NullPointerException If the provided value is <code>null</code>.\n * Node union values may have <code>null</code>\n * contents but are never <code>null</code>\n * themselves.\n */\n public void setUnionForIdentifier(NodeUnion<? extends IdentifierNode> identifier) throws NullPointerException;\n \n /**\n * Gets the bounds over the base type.\n * @return The bounds over the base type.\n * @throws ClassCastException If the value of this property is a special node.\n */\n public DeclaredTypeListNode getBounds()throws ClassCastException;\n \n /**\n * Gets the union object for the bounds over the base type.\n * @return A union object representing The bounds over the base type.\n */\n public NodeUnion<? extends DeclaredTypeListNode> getUnionForBounds();\n \n /**\n * Changes the bounds over the base type.\n * @param bounds The bounds over the base type.\n */\n public void setBounds(DeclaredTypeListNode bounds);\n \n /**\n * Changes the bounds over the base type.\n * @param bounds The bounds over the base type.\n * @throws NullPointerException If the provided value is <code>null</code>.\n * Node union values may have <code>null</code>\n * contents but are never <code>null</code>\n * themselves.\n */\n public void setUnionForBounds(NodeUnion<? extends DeclaredTypeListNode> bounds) throws NullPointerException;\n \n /**\n * Generates a deep copy of this node.\n * @param factory The node factory to use to create the deep copy.\n * @return The resulting deep copy node.\n */\n @Override\n public TypeParameterNode deepCopy(BsjNodeFactory factory);\n \n}","Type_use getType_use();","public static boolean hasExplicitSuperBound(final AnnotatedTypeMirror wildcard) {\n final Type.WildcardType wildcardType = (Type.WildcardType) wildcard.getUnderlyingType();\n return wildcardType.isSuperBound() && !((WildcardType) wildcard.getUnderlyingType()).isUnbound();\n }","type getType();","public abstract Type getGeneralizedType(Type type);","private void createImplicitVariableType(XtextResource resource, IAcceptor<? super ICodeMining> acceptor) {\n\t\tcreateImplicitVarValType(resource, acceptor, XtendVariableDeclaration.class,\n\t\t\tit -> it.getType(),\n\t\t\tit -> {\n\t\t\t\tLightweightTypeReference type = getLightweightType(it.getRight());\n\t\t\t\tif (type.isAny()) {\n\t\t\t\t\ttype = getTypeForVariableDeclaration(it.getRight());\n\t\t\t\t}\n\t\t\t\treturn type.getSimpleName();\n\t\t\t},\n\t\t\tit -> it.getRight(),\n\t\t\t() -> this.grammar.getXVariableDeclarationAccess().getRightAssignment_3_1());\n\t}","public static void bindTypes(Binder binder) {\n //array converter\n binder.convertToTypes(new ArrayMatcher(String.class), STRING_ARRAY_CONVERTER);\n binder.convertToTypes(new ArrayMatcher(int.class), INT_ARRAY_CONVERTER);\n binder.convertToTypes(new ArrayMatcher(boolean.class), BOOLEAN_ARRAY_CONVERTER);\n binder.convertToTypes(new ArrayMatcher(double.class), DOUBLE_ARRAY_CONVERTER);\n //files\n binder.convertToTypes(new ClazzMatcher(File.class), new FileTypeConverter());\n //URL\n binder.convertToTypes(new ClazzMatcher(URL.class), new URLTypeConverter());\n //URI\n binder.convertToTypes(new ClazzMatcher(URI.class), new URITypeConverter());\n //DateFormat\n binder.convertToTypes(new ClazzMatcher(DateFormat.class), new DateFormatTypeConverter());\n //Date\n binder.convertToTypes(new ClazzMatcher(Date.class), new DateTypeConverter());\n }","public String getVariableType(String key) {\n for (Map.Entry<PlainGraph, Map<String, PlainNode>> entry :graphNodeMap.entrySet()) {\n if (entry.getValue().containsKey(key)) {\n PlainNode node = entry.getValue().get(key);\n PlainEdge edge = entry.getKey().outEdgeSet(node).stream()\n .filter(e -> e.label().toString().contains(\"type:\"))\n .collect(Collectors.toList())\n .get(0);\n if (edge.label().toString().contains(SHARP_TYPE)) {\n return edge.label().toString().replace(String.format(\"%s:%s\",TYPE, SHARP_TYPE), \"\");\n } else {\n return edge.label().toString().replace(String.format(\"%s:\",TYPE), \"\");\n }\n }\n }\n // The variable key does not exist yet, it is only declared in the syntax tree\n return null;\n }","private void computeSourceClass(JClassType type) {\n if (type == null || alreadyRan.contains(type)) {\n return;\n }\n \n alreadyRan.add(type);\n \n /*\n * IMPORTANT: Visit my supertype first. The implementation of\n * com.google.gwt.lang.Cast.wrapJSO() depends on all superclasses having\n * typeIds that are less than all their subclasses. This allows the same\n * JSO to be wrapped stronger but not weaker.\n */\n computeSourceClass(type.extnds);\n \n if (!program.typeOracle.isInstantiatedType(type)) {\n return;\n }\n \n // Find all possible query types which I can satisfy\n Set/* <JReferenceType> */yesSet = null;\n for (Iterator iter = queriedTypes.keySet().iterator(); iter.hasNext();) {\n JReferenceType qType = (JReferenceType) iter.next();\n Set/* <JReferenceType> */querySet = (Set) queriedTypes.get(qType);\n if (program.typeOracle.canTriviallyCast(type, qType)) {\n for (Iterator it = querySet.iterator(); it.hasNext();) {\n JReferenceType argType = (JReferenceType) it.next();\n if (program.typeOracle.canTriviallyCast(type, argType)) {\n if (yesSet == null) {\n yesSet = new HashSet/* <JReferenceType> */();\n }\n yesSet.add(qType);\n break;\n }\n }\n }\n }\n \n /*\n * Weird: JavaScriptObjects MUST have a typeId, the implementation of\n * Cast.wrapJSO depends on it.\n */\n if (yesSet == null && !program.isJavaScriptObject(type)) {\n return; // won't satisfy anything\n }\n \n // use an array to sort my yes set\n JReferenceType[] yesArray = new JReferenceType[nextQueryId];\n if (yesSet != null) {\n for (Iterator it = yesSet.iterator(); it.hasNext();) {\n JReferenceType yesType = (JReferenceType) it.next();\n Integer boxedInt = (Integer) queryIds.get(yesType);\n yesArray[boxedInt.intValue()] = yesType;\n }\n }\n \n // create a sparse lookup object\n JsonObject jsonObject = new JsonObject(program);\n for (int i = 0; i < nextQueryId; ++i) {\n if (yesArray[i] != null) {\n JIntLiteral labelExpr = program.getLiteralInt(i);\n JIntLiteral valueExpr = program.getLiteralInt(1);\n jsonObject.propInits.add(new JsonPropInit(program, labelExpr,\n valueExpr));\n }\n }\n \n // add an entry for me\n classes.add(type);\n jsonObjects.add(jsonObject);\n }","private String getTypeVariableNamePrefix(String string)\r\n {\r\n string = string.trim();\r\n for (String typeVariableName : typeVariableNames)\r\n {\r\n if (string.equals(typeVariableName))\r\n {\r\n return typeVariableName;\r\n }\r\n if (string.startsWith(typeVariableName+\" \"))\r\n {\r\n return typeVariableName;\r\n }\r\n }\r\n return null;\r\n }","@Test\n public void untypedLambda1() {\n DependentLink A = param(\"A\", Universe(0));\n Expression type = Pi(params(A, param(\"a\", Reference(A))), Nat());\n List<Binding> context = new ArrayList<>();\n context.add(new TypedBinding(\"f\", type));\n typeCheckExpr(context, \"\\\\lam x1 x2 => f x1 x2\", null);\n }","public abstract int getBindingVariable();","@Override\n\tpublic boolean visit(SimpleName node) {\n\t\tIBinding b = node.resolveBinding();\n\t\tif (b != null) {\n\t\t\tif (b instanceof IVariableBinding) {\n\t\t\t\tIVariableBinding vb = (IVariableBinding) b;\n\t\t\t\tITypeBinding tb = vb.getType();\n\t\t\t\tif (tb != null) {\n\t\t\t\t\ttb = tb.getTypeDeclaration();\n\t\t\t\t\tif (tb.isLocal() || tb.getQualifiedName().isEmpty())\n\t\t\t\t\t\treturn false;\n\t\t\t\t\tthis.fullTokens.append(\" \" + getQualifiedName(tb) + \" \");\n\t\t\t\t\tthis.partialTokens.append(\" \" + getName(tb) + \" \");\n\t\t\t\t}\n\t\t\t} else if (b instanceof ITypeBinding) {\n\t\t\t\tITypeBinding tb = (ITypeBinding) b;\n\t\t\t\ttb = tb.getTypeDeclaration();\n\t\t\t\tif (tb.isLocal() || tb.getQualifiedName().isEmpty())\n\t\t\t\t\treturn false;\n\t\t\t\tthis.fullTokens.append(\" \" + getQualifiedName(tb) + \" \");\n\t\t\t\tthis.partialTokens.append(\" \" + getName(tb) + \" \");\n\t\t\t}\n\t\t} else {\n\t\t\tthis.fullTokens.append(\" \" + node.getIdentifier() + \" \");\n\t\t\tthis.partialTokens.append(\" \" + node.getIdentifier() + \" \");\n\t\t}\n\t\treturn false;\n\t}","public default Type lowerBound() throws LookupException {\n return this;\n }","public abstract JavaType resolveType(java.lang.reflect.Type jdkType);","public int getTypeParameterBoundIndex() {\n/* 377 */ return (this.value & 0xFF00) >> 8;\n/* */ }","public TypeMirror newTypeMirror(Binding binding) {\n switch(binding.kind()) {\n case Binding.FIELD:\n case Binding.LOCAL:\n case Binding.VARIABLE:\n // For variables, return the type of the variable\n return newTypeMirror(((VariableBinding) binding).type);\n case Binding.PACKAGE:\n return getNoType(TypeKind.PACKAGE);\n case Binding.IMPORT:\n //$NON-NLS-1$\n throw new UnsupportedOperationException(\"NYI: import type \" + binding.kind());\n case Binding.METHOD:\n return new ExecutableTypeImpl(_env, (MethodBinding) binding);\n case Binding.TYPE:\n case Binding.RAW_TYPE:\n case Binding.GENERIC_TYPE:\n case Binding.PARAMETERIZED_TYPE:\n ReferenceBinding referenceBinding = (ReferenceBinding) binding;\n if ((referenceBinding.tagBits & TagBits.HasMissingType) != 0) {\n return getErrorType(referenceBinding);\n }\n return new DeclaredTypeImpl(_env, (ReferenceBinding) binding);\n case Binding.ARRAY_TYPE:\n return new ArrayTypeImpl(_env, (ArrayBinding) binding);\n case Binding.BASE_TYPE:\n BaseTypeBinding btb = (BaseTypeBinding) binding;\n switch(btb.id) {\n case TypeIds.T_void:\n return getNoType(TypeKind.VOID);\n case TypeIds.T_null:\n return getNullType();\n default:\n return getPrimitiveType(btb);\n }\n case Binding.WILDCARD_TYPE:\n case // TODO compatible, but shouldn't it really be an intersection type?\n Binding.INTERSECTION_TYPE:\n return new WildcardTypeImpl(_env, (WildcardBinding) binding);\n case Binding.TYPE_PARAMETER:\n return new TypeVariableImpl(_env, (TypeVariableBinding) binding);\n }\n return null;\n }","public static boolean hasExplicitExtendsBound(final AnnotatedTypeMirror wildcard) {\n final Type.WildcardType wildcardType = (Type.WildcardType) wildcard.getUnderlyingType();\n return wildcardType.isExtendsBound() && !((WildcardType) wildcard.getUnderlyingType()).isUnbound();\n }","Binding<T> fixed();","public static boolean isExplicitlyExtendsBounded(final AnnotatedWildcardType wildcardType) {\n return ((Type.WildcardType) wildcardType.getUnderlyingType()).isExtendsBound() &&\n !((Type.WildcardType) wildcardType.getUnderlyingType()).isUnbound();\n }","public static boolean isExplicitlySuperBounded(final AnnotatedWildcardType wildcardType) {\n return ((Type.WildcardType) wildcardType.getUnderlyingType()).isSuperBound() &&\n !((Type.WildcardType) wildcardType.getUnderlyingType()).isUnbound();\n }","public abstract void mo24206b(@C5937f C12292n0<? super T> n0Var);","@org.junit.Test(timeout = 10000)\n public void annotatedWildcardTypeNameWithExtends_cf27968() {\n java.lang.String expected = (\"? extends @\" + (com.squareup.javapoet.AmplAnnotatedTypeNameTest.NN)) + \" java.lang.String\";\n com.squareup.javapoet.TypeName type = com.squareup.javapoet.TypeName.get(java.lang.String.class).annotated(NEVER_NULL);\n java.lang.String actual = com.squareup.javapoet.WildcardTypeName.subtypeOf(type).toString();\n // AssertGenerator replace invocation\n boolean o_annotatedWildcardTypeNameWithExtends_cf27968__8 = // StatementAdderMethod cloned existing statement\n type.isBoxedPrimitive();\n // AssertGenerator add assertion\n org.junit.Assert.assertFalse(o_annotatedWildcardTypeNameWithExtends_cf27968__8);\n org.junit.Assert.assertEquals(expected, actual);\n }","Binding<T> unqualified();","public List<Ref<? extends Type>> typeVariables();","InstrumentedType withTypeVariable(TypeVariableToken typeVariable);","public final void rule__JvmWildcardTypeReference__ConstraintsAssignment_2_1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.lwc.instances.ui/src-gen/org/xtext/lwc/instances/ui/contentassist/antlr/internal/InternalInstances.g:13567:1: ( ( ruleJvmLowerBound ) )\n // ../org.xtext.lwc.instances.ui/src-gen/org/xtext/lwc/instances/ui/contentassist/antlr/internal/InternalInstances.g:13568:1: ( ruleJvmLowerBound )\n {\n // ../org.xtext.lwc.instances.ui/src-gen/org/xtext/lwc/instances/ui/contentassist/antlr/internal/InternalInstances.g:13568:1: ( ruleJvmLowerBound )\n // ../org.xtext.lwc.instances.ui/src-gen/org/xtext/lwc/instances/ui/contentassist/antlr/internal/InternalInstances.g:13569:1: ruleJvmLowerBound\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getJvmWildcardTypeReferenceAccess().getConstraintsJvmLowerBoundParserRuleCall_2_1_0()); \n }\n pushFollow(FOLLOW_ruleJvmLowerBound_in_rule__JvmWildcardTypeReference__ConstraintsAssignment_2_127272);\n ruleJvmLowerBound();\n\n state._fsp--;\n if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getJvmWildcardTypeReferenceAccess().getConstraintsJvmLowerBoundParserRuleCall_2_1_0()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","public void setchrtypVar(String value) {\n setNamedWhereClauseParam(\"chrtypVar\", value);\n }","public static void main(String[] args) {\t\n\t\t// \"A wildcard parameterized type is not a concrete type that could appear in a new expression.\"\n\t\t// in https://howtodoinjava.com/java/generics/complete-java-generics-tutorial/\n\t\tList<Number> ls = new ArrayList<>(); //this is right \n\t\tList<? extends Number> ls2 = new ArrayList<Long>(); //this is also right, but now there is no inference typing in the new expression. You have to be explicit\n\t\tList<? extends Number> ls3 = new ArrayList<>(); //this is confusing. What is the type of this List?\n\t\t//List<Number> ls = new ArrayList<Integer>(); //this is wrong and will give a compile error\n\t\t\n\t\tInteger n = Integer.valueOf(20);\n\t\tDouble d = Double.valueOf(20.0);\n\t\tls.add(n);\n\t\tls.add(d);\n\t\t\n\t\tSystem.out.println(n instanceof Number);\n\t\tSystem.out.println(n instanceof Integer);\t\t\n\t\t\n\t\tList<Integer> li = Arrays.asList(1, 2, 3);\n\t\tSystem.out.println(\"sum = \" + sumOfList(li));\t\n\t}","public T caseBinding(Binding object)\n {\n return null;\n }","private @Nullable Type resolveType(@NotNull String typeName) {\n QnTypeRef typeRef = new QnTypeRef(Qn.fromDotSeparated(typeName));\n return (Type) typesResolver.resolve(typeRef);\n }","public static boolean isUnboundedOrExtendsBounded(final AnnotatedWildcardType wildcardType) {\n return ((Type.WildcardType) wildcardType.getUnderlyingType()).isExtendsBound();\n }","@Test\n public void testTypeOf() throws ValueDoesNotMatchTypeException {\n TestEvaluationContext context = new TestEvaluationContext();\n DecisionVariableDeclaration decl = new DecisionVariableDeclaration(\"x\", IntegerType.TYPE, null);\n ConstantValue c0 = new ConstantValue(ValueFactory.createValue(IntegerType.TYPE, 0));\n ConstraintSyntaxTree cst = new OCLFeatureCall(\n new Variable(decl), IntegerType.LESS_EQUALS_INTEGER_INTEGER.getName(), c0);\n EvaluationAccessor cValue = Utils.createValue(ConstraintType.TYPE, context, cst);\n Utils.testTypeOf(context, ConstraintType.TYPE_OF, cValue);\n cValue.release();\n }","public static ParameterExpression variable(Class type) { throw Extensions.todo(); }","static int type_of_inx(String passed){\n\t\treturn 1;\n\t}","public void yAddBind(String bind_name, ObservableValue<? extends Number> bind);","@SuppressWarnings(\"unchecked\")\r\n // we check type of defaultVal but compiler still complains about a cast to T\r\n protected <T> T getValue(Property prop, T defaultVal, Bound<? extends Number> bound) {\r\n checkInitialized();\r\n\r\n final @Nonnull Bound<? extends Number> realbound;\r\n if (bound != null) {\r\n realbound = bound;\r\n setBounds(prop, realbound);\r\n } else {\r\n realbound = Bound.MAX_BOUND;\r\n }\r\n\r\n addCommentDetails(prop, realbound);\r\n\r\n if (defaultVal instanceof Integer) {\r\n Bound<Integer> b = Bound.of(realbound.min.intValue(), realbound.max.intValue());\r\n return (T) boundValue(prop, b, (Integer) defaultVal);\r\n }\r\n if (defaultVal instanceof Float) {\r\n Bound<Float> b = Bound.of(realbound.min.floatValue(), realbound.max.floatValue());\r\n return (T) boundValue(prop, b, (Float) defaultVal);\r\n }\r\n if (defaultVal instanceof Double) {\r\n Bound<Double> b = Bound.of(realbound.min.doubleValue(), realbound.max.doubleValue());\r\n return (T) boundValue(prop, b, (Double) defaultVal);\r\n }\r\n if (defaultVal instanceof Boolean) {\r\n return (T) Boolean.valueOf(prop.getBoolean());\r\n }\r\n if (defaultVal instanceof int[]) {\r\n return (T) prop.getIntList();\r\n }\r\n if (defaultVal instanceof String) {\r\n return (T) prop.getString();\r\n }\r\n if (defaultVal instanceof String[]) {\r\n return (T) prop.getStringList();\r\n }\r\n\r\n throw new IllegalArgumentException(\"default value is not a config value type.\");\r\n }","private static void a(Object param0, Class<?> param1) {\n }","public MapExecutionScope bind(Type type, Object binding) {\n return bind(Key.get(type), binding);\n }","@Ignore\n @Test\n public void untypedLambda2() {\n DependentLink A = param(\"A\", Universe(0));\n DependentLink params = params(A, param(\"B\", Pi(Reference(A), Universe(0))), param(\"a\", Reference(A)));\n Expression type = Pi(params, Apps(Reference(params.getNext()), Reference(params.getNext().getNext())));\n List<Binding> context = new ArrayList<>();\n context.add(new TypedBinding(\"f\", type));\n\n CheckTypeVisitor.Result result = typeCheckExpr(context, \"\\\\lam x1 x2 x3 => f x1 x2 x3\", null);\n assertEquals(type, result.type);\n }","TypeDescription resolve(TypeDescription instrumentedType, TypeDescription.Generic parameterType);","int getPlaceholderTypeValue();","@Override\n\tpublic BasicType resolveCastTargetType(String name) {\n\t\torg.hibernate.type.BasicType ormBasicType = (org.hibernate.type.BasicType) sessionFactory.getTypeHelper().heuristicType( name );\n\t\tif ( ormBasicType == null ) {\n\t\t\treturn null;\n\t\t}\n\n\t\treturn resolveBasicType( ormBasicType.getReturnedClass() );\n\t}","@Override\r\n\t\tpublic final INamedElement resolveTypeForValueContext() {\n\t\t\treturn null;\r\n\t\t}","BParameterTyping createBParameterTyping();","public Type typeOf(Context ctxt, TypeEnv locals)\n throws Failure {\n TypeEnv te = ctxt.findVar(name, locals);\n loc = te.getLoc();\n return type = te.getType();\n }","@Test\n void rawType_rawType() {\n var ref = new TypeRef<String>() {};\n assertEquals(String.class, ref.rawType());\n }","public int getNumTypeBound() {\n return getTypeBoundList().getNumChild();\n }","private void resolveSingularAttributeTypeInformation(SingularAttributeBinding attributeBinding) {\r\n if (attributeBinding.getHibernateTypeDescriptor().getResolvedTypeMapping() != null) {\r\n return;\r\n }\r\n // we can determine the Hibernate Type if either:\r\n // \t\t1) the user explicitly named a Type in a HibernateTypeDescriptor\r\n // \t\t2) we know the java type of the attribute\r\n Type resolvedType;\r\n resolvedType = determineSingularTypeFromDescriptor(attributeBinding.getHibernateTypeDescriptor());\r\n if (resolvedType == null) {\r\n if (!attributeBinding.getAttribute().isSingular()) {\r\n throw new AssertionFailure(\"SingularAttributeBinding object has a plural attribute: \" + attributeBinding.getAttribute().getName());\r\n }\r\n final SingularAttribute singularAttribute = (SingularAttribute) attributeBinding.getAttribute();\r\n if (singularAttribute.getSingularAttributeType() != null) {\r\n resolvedType = getHeuristicType(\r\n singularAttribute.getSingularAttributeType().getClassName(), new Properties()\r\n );\r\n }\r\n }\r\n if (resolvedType != null) {\r\n pushHibernateTypeInformationDownIfNeeded(attributeBinding, resolvedType);\r\n }\r\n }","java.lang.String getType();"],"string":"[\n \"@Test\\r\\n public void testParameterizedTypeWithWildcardWithTypeVariableBound()\\r\\n {\\r\\n Type typeVariable = Types.createTypeVariable(\\\"E\\\");\\r\\n Type wildcardType = Types.createWildcardType(\\r\\n null, new Type[]{typeVariable});\\r\\n Type parameterizedType = \\r\\n Types.createParameterizedType(List.class, null, wildcardType);\\r\\n test(parameterizedType);\\r\\n }\",\n \"@Override\\n public boolean isLowerBound(Type argType, Substitution<ReferenceType> subst) {\\n ReferenceType boundType = this.boundType.apply(subst);\\n if (boundType.equals(JavaTypes.NULL_TYPE)) {\\n return true;\\n }\\n if (argType.isParameterized()) {\\n if (!(boundType instanceof ClassOrInterfaceType)) {\\n return false;\\n }\\n InstantiatedType argClassType = (InstantiatedType) argType.applyCaptureConversion();\\n InstantiatedType boundSuperType =\\n ((ClassOrInterfaceType) boundType)\\n .getMatchingSupertype(argClassType.getGenericClassType());\\n if (boundSuperType == null) {\\n return false;\\n }\\n boundSuperType = boundSuperType.applyCaptureConversion();\\n return boundSuperType.isInstantiationOf(argClassType);\\n }\\n return boundType.isSubtypeOf(argType);\\n }\",\n \"@Override\\r\\n\\tpublic TypeBinding literalType(BlockScope scope) {\\n\\t\\treturn null;\\r\\n\\t}\",\n \"static Object resolveGeneric (FXLocal.Context context, Type typ) {\\n if (typ instanceof ParameterizedType) {\\n ParameterizedType ptyp = (ParameterizedType) typ;\\n Type raw = ptyp.getRawType();\\n Type[] targs = ptyp.getActualTypeArguments();\\n if (raw instanceof Class) {\\n String rawName = ((Class) raw).getName();\\n if (FXClassType.SEQUENCE_CLASSNAME.equals(rawName) &&\\n targs.length == 1) {\\n return new FXSequenceType(context.makeTypeRef(targs[0]));\\n }\\n if (FXClassType.OBJECT_VARIABLE_CLASSNAME.equals(rawName) &&\\n targs.length == 1) {\\n return context.makeTypeRef(targs[0]);\\n }\\n if (FXClassType.SEQUENCE_VARIABLE_CLASSNAME.equals(rawName) &&\\n targs.length == 1) {\\n return new FXSequenceType(context.makeTypeRef(targs[0]));\\n }\\n if (rawName.startsWith(FXClassType.FUNCTION_CLASSNAME_PREFIX)) {\\n FXType[] prtypes = new FXType[targs.length-1];\\n for (int i = prtypes.length; --i >= 0; )\\n prtypes[i] = context.makeTypeRef(targs[i+1]);\\n FXType rettype;\\n if (targs[0] == java.lang.Void.class)\\n rettype = FXPrimitiveType.voidType;\\n else\\n rettype = context.makeTypeRef(targs[0]);\\n return new FXFunctionType(prtypes, rettype);\\n }\\n }\\n \\n typ = raw;\\n }\\n if (typ instanceof WildcardType) {\\n WildcardType wtyp = (WildcardType) typ;\\n Type[] upper = wtyp.getUpperBounds();\\n Type[] lower = wtyp.getLowerBounds();\\n typ = lower.length > 0 ? lower[0] : wtyp.getUpperBounds()[0];\\n if (typ instanceof Class) {\\n String rawName = ((Class) typ).getName();\\n // Kludge, because generics don't handle primitive types.\\n FXType ptype = context.getPrimitiveType(rawName);\\n if (ptype != null)\\n return ptype;\\n }\\n return context.makeTypeRef(typ);\\n }\\n if (typ instanceof GenericArrayType) {\\n FXType elType = context.makeTypeRef(((GenericArrayType) typ).getGenericComponentType());\\n return new FXJavaArrayType(elType);\\n }\\n if (typ instanceof TypeVariable) {\\n // KLUDGE\\n typ = Object.class;\\n }\\n return typ;\\n }\",\n \"public abstract Binding getCommonType(Binding b);\",\n \"public TypeBinding resolveType(ClassScope scope) {\\n\\tthis.constant = Constant.NotAConstant;\\n\\tif (this.resolvedType != null) // is a shared type reference which was already resolved\\n\\t\\treturn this.resolvedType.isValidBinding() ? this.resolvedType : null; // already reported error\\n\\n\\tTypeBinding type = this.resolvedType = getTypeBinding(scope);\\n\\tif (this.resolvedType == null)\\n\\t\\treturn null; // detected cycle while resolving hierarchy\\t\\n\\tif (!this.resolvedType.isValidBinding()) {\\n\\t\\treportInvalidType(scope);\\n\\t\\treturn null;\\n\\t}\\n\\tif (isTypeUseDeprecated(this.resolvedType, scope))\\n\\t\\treportDeprecatedType(scope);\\n\\ttype = scope.environment().convertToRawType(type);\\n\\tif (type.isRawType() \\n\\t\\t\\t&& (this.bits & IgnoreRawTypeCheck) == 0 \\n\\t\\t\\t&& scope.compilerOptions().getSeverity(CompilerOptions.RawTypeReference) != ProblemSeverities.Ignore) {\\n\\t\\tscope.problemReporter().rawTypeReference((/*@OwnPar*/ /*@NoRep*/ TypeReference)this, type);\\n\\t}\\t\\t\\t\\n\\treturn this.resolvedType = type;\\t\\n}\",\n \"public TypeBinding resolveType(BlockScope scope, boolean checkBounds) {\\n\\tthis.constant = Constant.NotAConstant;\\n\\tif (this.resolvedType != null) // is a shared type reference which was already resolved\\n\\t\\treturn this.resolvedType.isValidBinding() ? this.resolvedType : null; // already reported error\\n\\n\\tTypeBinding type = this.resolvedType = getTypeBinding(scope);\\n\\tif (this.resolvedType == null)\\n\\t\\treturn null; // detected cycle while resolving hierarchy\\t\\n\\tif (!this.resolvedType.isValidBinding()) {\\n\\t\\treportInvalidType(scope);\\n\\t\\treturn null;\\n\\t}\\n\\tif (isTypeUseDeprecated(this.resolvedType, scope))\\n\\t\\treportDeprecatedType(scope);\\n\\ttype = scope.environment().convertToRawType(type);\\n\\tif (type.isRawType() \\n\\t\\t\\t&& (this.bits & IgnoreRawTypeCheck) == 0 \\n\\t\\t\\t&& scope.compilerOptions().getSeverity(CompilerOptions.RawTypeReference) != ProblemSeverities.Ignore) {\\t\\n\\t\\tscope.problemReporter().rawTypeReference((/*@OwnPar*/ /*@NoRep*/ TypeReference)this, type);\\n\\t}\\t\\t\\t\\n\\treturn this.resolvedType = type;\\n}\",\n \"private Type adaptBoundRecursively(Type bound, Adaptation previous) {\\n\\t\\tif (bound.isLinkedToFormalType()) {\\n\\t\\t\\tint pos = bound.getFormalType().getPosition();\\n\\t\\t\\treturn previous.get(pos);\\n\\t\\t}\\n\\n\\t\\tif (bound.isGeneric()) {\\n\\t\\t\\t// build a new type definition\\n\\t\\t\\tType adaptedBound = new Type(bound.getName(), bound.getIntro());\\n\\n\\t\\t\\tfor (Type gt : bound.getGenericTypes()) {\\n\\t\\t\\t\\t// Adapt generic type and replace formal types by previous\\n\\t\\t\\t\\t// adaptation\\n\\t\\t\\t\\tType adaptedGt = adaptBoundRecursively(gt, previous);\\n\\t\\t\\t\\tadaptedBound.addGenericType(adaptedGt);\\n\\t\\t\\t}\\n\\t\\t\\treturn adaptedBound;\\n\\t\\t}\\n\\t\\treturn bound;\\n\\t}\",\n \"@Override\\n public boolean isUpperBound(Type argType, Substitution<ReferenceType> subst) {\\n ReferenceType boundType = this.boundType.apply(subst);\\n if (boundType.equals(JavaTypes.OBJECT_TYPE)) {\\n return true;\\n }\\n if (boundType.isParameterized()) {\\n if (!(argType instanceof ClassOrInterfaceType)) {\\n return false;\\n }\\n InstantiatedType boundClassType = (InstantiatedType) boundType.applyCaptureConversion();\\n InstantiatedType argSuperType =\\n ((ClassOrInterfaceType) argType)\\n .getMatchingSupertype(boundClassType.getGenericClassType());\\n if (argSuperType == null) {\\n return false;\\n }\\n argSuperType = argSuperType.applyCaptureConversion();\\n return argSuperType.isInstantiationOf(boundClassType);\\n }\\n return argType.isSubtypeOf(boundType);\\n }\",\n \"@Override\\r\\n\\tpublic Node visitVarType(VarTypeContext ctx) {\\n\\t\\treturn super.visitVarType(ctx);\\r\\n\\t}\",\n \"public abstract TypeBindings bindingsForBeanType();\",\n \"public TypeBinding resolveSuperType(ClassScope scope) {\\n\\tif (resolveType(scope) == null) return null;\\n\\n\\tif (this.resolvedType.isTypeVariable()) {\\n\\t\\tthis.resolvedType = new ProblemReferenceBinding(getTypeName(), (ReferenceBinding) this.resolvedType, ProblemReasons.IllegalSuperTypeVariable);\\n\\t\\treportInvalidType(scope);\\n\\t\\treturn null;\\n\\t}\\n\\treturn this.resolvedType;\\n}\",\n \"Type<?> get(String name);\",\n \"public static TypeReference newTypeParameterBoundReference(int sort, int paramIndex, int boundIndex) {\\n/* 241 */ return new TypeReference(sort << 24 | paramIndex << 16 | boundIndex << 8);\\n/* */ }\",\n \"public abstract Type getSpecializedType(Type type);\",\n \"public VarTypeNative getFieldVarType();\",\n \"private void internalResolve(Scope scope, boolean staticContext) {\\n\\t\\tif (this.binding != null) {\\n\\t\\t\\tBinding existingType = scope.parent.getBinding(this.name, Binding.TYPE, (/*@OwnPar*/ /*@NoRep*/ TypeParameter)this, false);\\n\\t\\t\\tif (existingType != null \\n\\t\\t\\t\\t\\t&& this.binding != existingType \\n\\t\\t\\t\\t\\t&& existingType.isValidBinding()\\n\\t\\t\\t\\t\\t&& (existingType.kind() != Binding.TYPE_PARAMETER || !staticContext)) {\\n\\t\\t\\t\\tscope.problemReporter().typeHiding((/*@OwnPar*/ /*@NoRep*/ TypeParameter)this, existingType);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public final void typeBound() throws RecognitionException {\\n int typeBound_StartIndex = input.index();\\n try { dbg.enterRule(getGrammarFileName(), \\\"typeBound\\\");\\n if ( getRuleLevel()==0 ) {dbg.commence();}\\n incRuleLevel();\\n dbg.location(241, 1);\\n\\n try {\\n if ( state.backtracking>0 && alreadyParsedRule(input, 13) ) { return ; }\\n // Java.g:242:5: ( type ( '&' type )* )\\n dbg.enterAlt(1);\\n\\n // Java.g:242:9: type ( '&' type )*\\n {\\n dbg.location(242,9);\\n pushFollow(FOLLOW_type_in_typeBound580);\\n type();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n dbg.location(242,14);\\n // Java.g:242:14: ( '&' type )*\\n try { dbg.enterSubRule(22);\\n\\n loop22:\\n do {\\n int alt22=2;\\n try { dbg.enterDecision(22);\\n\\n int LA22_0 = input.LA(1);\\n\\n if ( (LA22_0==43) ) {\\n alt22=1;\\n }\\n\\n\\n } finally {dbg.exitDecision(22);}\\n\\n switch (alt22) {\\n \\tcase 1 :\\n \\t dbg.enterAlt(1);\\n\\n \\t // Java.g:242:15: '&' type\\n \\t {\\n \\t dbg.location(242,15);\\n \\t match(input,43,FOLLOW_43_in_typeBound583); if (state.failed) return ;\\n \\t dbg.location(242,19);\\n \\t pushFollow(FOLLOW_type_in_typeBound585);\\n \\t type();\\n\\n \\t state._fsp--;\\n \\t if (state.failed) return ;\\n\\n \\t }\\n \\t break;\\n\\n \\tdefault :\\n \\t break loop22;\\n }\\n } while (true);\\n } finally {dbg.exitSubRule(22);}\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n if ( state.backtracking>0 ) { memoize(input, 13, typeBound_StartIndex); }\\n }\\n dbg.location(243, 5);\\n\\n }\\n finally {\\n dbg.exitRule(getGrammarFileName(), \\\"typeBound\\\");\\n decRuleLevel();\\n if ( getRuleLevel()==0 ) {dbg.terminate();}\\n }\\n\\n return ;\\n }\",\n \"@Override\\n\\tpublic void visit(NumericBind arg0) {\\n\\t\\t\\n\\t}\",\n \"private static boolean matchParameter(IType type, @NotNull PsiType candidate, @NotNull Map<String, IType> typeVarMap, @Nullable PsiSubstitutor substitutor, boolean isStatic) {\\n boolean result = false;\\n\\n if (type instanceof IMetaType) {\\n type = ((IMetaType) type).getType();\\n }\\n\\n IType basicPattern = type.isParameterizedType() ? type.getGenericType() : type;\\n String patternName = basicPattern.getName();\\n IType candidateType;\\n\\n if( candidate instanceof PsiEllipsisType ) {\\n candidate = ((PsiEllipsisType)candidate).toArrayType();\\n }\\n\\n if( candidate instanceof PsiArrayType && type.isArray() ) {\\n return matchParameter( type.getComponentType(), ((PsiArrayType)candidate).getComponentType(), typeVarMap, substitutor, isStatic );\\n }\\n\\n if (candidate instanceof PsiClassType) {\\n PsiClassType candidateAsPsiClass = (PsiClassType) candidate;\\n PsiClass resolvedCandidate = candidateAsPsiClass.resolve();\\n String candidateName;\\n if (resolvedCandidate != null) {\\n if (resolvedCandidate instanceof PsiTypeParameter && substitutor != null) {\\n resolvedCandidate = maybeSubstituteType(resolvedCandidate, substitutor);\\n if (isStatic) {\\n resolvedCandidate = stripToBoundingType((PsiTypeParameter) resolvedCandidate);\\n }\\n }\\n if (resolvedCandidate instanceof PsiTypeParameter) {\\n candidateName = resolvedCandidate.getName();\\n } else {\\n candidateName = resolvedCandidate.getQualifiedName();\\n }\\n } else {\\n candidateName = candidate.getCanonicalText();\\n }\\n candidateType = typeVarMap.get(candidateName);\\n if (candidateType != null) {\\n result = type.equals(candidateType);\\n }\\n if( !result ) {\\n result = candidateName.equals(patternName);\\n if (result) {\\n if( type instanceof ITypeVariableType && resolvedCandidate instanceof PsiTypeParameter ) {\\n PsiClassType boundingType = JavaPsiFacadeUtil.getElementFactory( resolvedCandidate.getProject() ).createType( stripToBoundingType( (PsiTypeParameter)resolvedCandidate ) );\\n result = matchParameter( TypeLord.getPureGenericType( ((ITypeVariableType)type).getBoundingType() ), boundingType, typeVarMap, substitutor, isStatic ) ||\\n matchParameter( ((ITypeVariableType)type).getBoundingType(), boundingType, typeVarMap, substitutor, isStatic );\\n }\\n else {\\n PsiType[] candidateTypeParams = candidateAsPsiClass.getParameters();\\n IType[] patternTypeParams = type.getTypeParameters();\\n int candidateTypeParamLength = candidateTypeParams != null ? candidateTypeParams.length : 0;\\n int patternTypeParamLength = patternTypeParams != null ? patternTypeParams.length : 0;\\n if (patternTypeParamLength == candidateTypeParamLength) {\\n for (int i = 0; i < patternTypeParamLength; i++) {\\n if (!matchParameter(patternTypeParams[i], candidateTypeParams[i], typeVarMap, substitutor, isStatic)) {\\n result = false;\\n break;\\n }\\n }\\n } else {\\n result = false;\\n }\\n }\\n }\\n }\\n } else {\\n PsiType unboundedCandidate = removeBounds(candidate);\\n candidateType = typeVarMap.get(unboundedCandidate.getCanonicalText());\\n if (candidateType != null) {\\n result = type.equals(candidateType);\\n } else {\\n result = unboundedCandidate.equalsToText(patternName);\\n }\\n }\\n if (!result && type instanceof IShadowingType) {\\n return matchShadowedTypes((IShadowingType) type, candidate, typeVarMap, substitutor, isStatic);\\n }\\n return result;\\n }\",\n \"private String resolveRawTypeName(String typeName) {\\n\\t\\tif (typeName == null) {\\n\\t\\t\\treturn null;\\n\\t\\t}\\n\\n\\t\\tboolean isArray = typeName.startsWith(StringPool.LEFT_SQ_BRACKET);\\n\\t\\tif (isArray) {\\n\\t\\t\\ttypeName = typeName.substring(1);\\n\\t\\t}\\n\\n\\t\\tString rawTypeName;\\n\\n\\t\\tif (generics.containsKey(typeName)) {\\n\\t\\t\\trawTypeName = generics.get(typeName);\\n\\t\\t}\\n\\t\\telse {\\n\\t\\t\\trawTypeName = targetClassInfo.getGenerics().getOrDefault(typeName, typeName);\\n\\t\\t}\\n\\n\\t\\tif (isArray) {\\n\\t\\t\\trawTypeName = '[' + rawTypeName;\\n\\t\\t}\\n\\n\\t\\treturn rawTypeName;\\n\\t}\",\n \"@Override\\n public String visit(WildcardType n, Object arg) {\\n return null;\\n }\",\n \"public interface n {\\n void a(au<?> auVar);\\n}\",\n \"public abstract TypeLiteral<?> toTypeLiteral(Type type);\",\n \"Binding<T> withAnyQualifier();\",\n \"public abstract BoundType a();\",\n \"ReferenceBound(ReferenceType boundType) {\\n this.boundType = boundType;\\n }\",\n \"public interface Binding {\\n\\n /**\\n * Get the declared type of the variable\\n * @return the declared type\\n */\\n\\n public SequenceType getRequiredType();\\n\\n /**\\n * Evaluate the variable\\n * @param context the XPath dynamic evaluation context\\n * @return the result of evaluating the variable\\n */\\n\\n public ValueRepresentation evaluateVariable(XPathContext context) throws XPathException;\\n\\n /**\\n * Indicate whether the binding is local or global. A global binding is one that has a fixed\\n * value for the life of a query or transformation; any other binding is local.\\n * @return true if the binding is global\\n */\\n\\n public boolean isGlobal();\\n\\n /**\\n * If this is a local variable held on the local stack frame, return the corresponding slot number.\\n * In other cases, return -1.\\n * @return the slot number on the local stack frame\\n */\\n\\n public int getLocalSlotNumber();\\n\\n /**\\n * Get the name of the variable\\n * @return the name of the variable, as a structured QName\\n */\\n\\n public StructuredQName getVariableQName();\\n\\n}\",\n \"public void setAnyType(java.lang.Object param) {\\n this.localAnyType = param;\\n }\",\n \"public Binding getGenericType(List<Binding> types) {\\r\\n assert types == types;\\r\\n return null;\\r\\n }\",\n \"public final void typeParameter() throws RecognitionException {\\n int typeParameter_StartIndex = input.index();\\n try { dbg.enterRule(getGrammarFileName(), \\\"typeParameter\\\");\\n if ( getRuleLevel()==0 ) {dbg.commence();}\\n incRuleLevel();\\n dbg.location(237, 1);\\n\\n try {\\n if ( state.backtracking>0 && alreadyParsedRule(input, 12) ) { return ; }\\n // Java.g:238:5: ( Identifier ( 'extends' typeBound )? )\\n dbg.enterAlt(1);\\n\\n // Java.g:238:9: Identifier ( 'extends' typeBound )?\\n {\\n dbg.location(238,9);\\n match(input,Identifier,FOLLOW_Identifier_in_typeParameter546); if (state.failed) return ;\\n dbg.location(238,20);\\n // Java.g:238:20: ( 'extends' typeBound )?\\n int alt21=2;\\n try { dbg.enterSubRule(21);\\n try { dbg.enterDecision(21);\\n\\n int LA21_0 = input.LA(1);\\n\\n if ( (LA21_0==38) ) {\\n alt21=1;\\n }\\n } finally {dbg.exitDecision(21);}\\n\\n switch (alt21) {\\n case 1 :\\n dbg.enterAlt(1);\\n\\n // Java.g:238:21: 'extends' typeBound\\n {\\n dbg.location(238,21);\\n match(input,38,FOLLOW_38_in_typeParameter549); if (state.failed) return ;\\n dbg.location(238,31);\\n pushFollow(FOLLOW_typeBound_in_typeParameter551);\\n typeBound();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n break;\\n\\n }\\n } finally {dbg.exitSubRule(21);}\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n if ( state.backtracking>0 ) { memoize(input, 12, typeParameter_StartIndex); }\\n }\\n dbg.location(239, 5);\\n\\n }\\n finally {\\n dbg.exitRule(getGrammarFileName(), \\\"typeParameter\\\");\\n decRuleLevel();\\n if ( getRuleLevel()==0 ) {dbg.terminate();}\\n }\\n\\n return ;\\n }\",\n \"public interface MagicType extends Type {\\n\\n\\t/**\\n\\t * Given that we are a type specified in a replacement rule (e.g. a Var or\\n\\t * Atom), can we consume a submatch of the given type in the match?\\n\\t *\\n\\t * Alternatively, we could have overriden .equals().\\n\\t */\\n\\tboolean replacementfor(Type o);\\n}\",\n \"public T caseType(Type object) {\\r\\n\\t\\treturn null;\\r\\n\\t}\",\n \"public T caseType(Type object) {\\n\\t\\treturn null;\\n\\t}\",\n \"public String TypeOf(String name) {\\n\\t\\tValues tmp = currScope.get(name);\\n\\t\\t\\n\\t\\tif(tmp != null)\\n\\t\\t\\treturn tmp.getType();\\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.getType();\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn null;\\n\\t}\",\n \"public T caseTypeAlias(TypeAlias object) {\\r\\n\\t\\treturn null;\\r\\n\\t}\",\n \"public abstract BoundType b();\",\n \"public static boolean hasNoExplicitBound(final AnnotatedTypeMirror wildcard) {\\n return ((Type.WildcardType) wildcard.getUnderlyingType()).isUnbound();\\n }\",\n \"public ITypeBinding getType() {\\n\\t\\treturn binding;\\n\\t}\",\n \"@Override\\n\\tpublic ValueList caseATypeBind(ATypeBind bind, ObjectContext ctxt)\\n\\t\\t\\tthrows AnalysisException\\n\\t{\\n\\t\\treturn new ValueList();\\n\\t}\",\n \"public void any_type() {\\n if (var_type()) {\\n return;\\n }\\n if (lexer.token != Symbol.VOID) {\\n error.signal(\\\"Wrong type\\\");\\n }\\n lexer.nextToken();\\n }\",\n \"private static String type(String arg) {\\n if ( arg.contains(\\\".\\\") )\\n return \\\"ip\\\";\\n try {\\n Integer.parseInt(arg);\\n return \\\"port\\\";\\n } catch (NumberFormatException ignored) {\\n return arg;\\n }\\n }\",\n \"public T caseTypeParameter(TypeParameter object) {\\n\\t\\treturn null;\\n\\t}\",\n \"private String getSqLiteType(Class<?> value){\\r\\n\\t\\tString sn = value.getSimpleName();\\r\\n\\t\\tif(sn.equalsIgnoreCase(\\\"String\\\"))\\r\\n\\t\\t\\treturn \\\"text\\\";\\r\\n\\t\\tif(sn.equalsIgnoreCase(\\\"int\\\") || sn.equalsIgnoreCase(\\\"Integer\\\") || \\r\\n\\t\\t sn.equalsIgnoreCase(\\\"long\\\") || sn.equalsIgnoreCase(\\\"Long\\\") || \\r\\n\\t\\t sn.equalsIgnoreCase(\\\"BigDecimal\\\")){\\r\\n\\t\\t\\treturn \\\"integer\\\";\\r\\n\\t\\t}\\r\\n\\t\\tif(sn.equalsIgnoreCase(\\\"double\\\") || sn.equalsIgnoreCase(\\\"Double\\\") || \\r\\n\\t\\t sn.equalsIgnoreCase(\\\"float\\\") || sn.equalsIgnoreCase(\\\"Float\\\")){\\r\\n\\t\\t\\treturn \\\"integer\\\";\\r\\n\\t\\t}\\r\\n\\t\\tif(sn.equalsIgnoreCase(\\\"byte[]\\\") || sn.equalsIgnoreCase(\\\"Byte[]\\\")){\\r\\n\\t\\t\\treturn \\\"blob\\\";\\r\\n\\t\\t}\\r\\n\\t\\tthrow new NullPointerException(\\\"type not found \\\" + sn);\\r\\n\\t}\",\n \"public Parameter getTypeParameter(StratmasObject object)\\n {\\n // Find youngest base type with a mapping\\n for (Type walker = object.getType(); \\n walker != null; walker = walker.getBaseType()) {\\n ParameterFactory parameterFactory = (ParameterFactory) getTypeMapping().get(walker);\\n if (parameterFactory != null) {\\n return parameterFactory.getParameter(object);\\n }\\n }\\n\\n return null;\\n }\",\n \"public T caseDatatype(Datatype object)\\n {\\n return null;\\n }\",\n \"private boolean checkForType(IfStmt ifStmt, FieldDeclaration compareVariable) {\\n boolean isOfType = false;\\n BinaryExpr ifAsBinary = ifStmt.getCondition().asBinaryExpr();\\n String comparedTypeName = compareVariable.getVariables().get(0).getNameAsString();\\n if (!ifAsBinary.getLeft().isNullLiteralExpr()) {\\n isOfType |= ifAsBinary.getLeft().asNameExpr().getNameAsString().equals(\\n comparedTypeName);\\n }\\n if (!ifAsBinary.getRight().isNullLiteralExpr()) {\\n isOfType |= ifAsBinary.getRight().asNameExpr().getNameAsString().equals(\\n comparedTypeName);\\n }\\n return isOfType;\\n }\",\n \"protected <T> T getValue(String key, T defaultVal, Bound<? extends Number> bound) {\\r\\n return getValue(key, null, defaultVal, bound);\\r\\n }\",\n \"public static boolean isUnboundedOrSuperBounded(final AnnotatedWildcardType wildcardType) {\\n return ((Type.WildcardType) wildcardType.getUnderlyingType()).isSuperBound();\\n }\",\n \"public void addLowerConstraint(String type) {\\n\\t\\tfinal JvmLowerBound constraint = this.jvmTypesFactory.createJvmLowerBound();\\n\\t\\tconstraint.setTypeReference(newTypeRef(this.context, type));\\n\\t\\tgetJvmTypeParameter().getConstraints().add(constraint);\\n\\t}\",\n \"private void checkTypes(Variable first, Variable second) throws OutmatchingParameterType {\\n VariableVerifier.VerifiedTypes firstType = first.getType();\\n VariableVerifier.VerifiedTypes secondType = second.getType();\\n\\n if (!firstType.equals(secondType)) {\\n throw new OutmatchingParameterType();\\n }\\n }\",\n \"@Generated(value={\\\"edu.jhu.cs.bsj.compiler.utils.generator.SourceGenerator\\\"})\\npublic interface TypeParameterNode extends Node, TypeNameBindingNode\\n{\\n /**\\n * Gets the base type name for the parameter.\\n * @return The base type name for the parameter.\\n * @throws ClassCastException If the value of this property is a special node.\\n */\\n public IdentifierNode getIdentifier()throws ClassCastException;\\n \\n /**\\n * Gets the union object for the base type name for the parameter.\\n * @return A union object representing The base type name for the parameter.\\n */\\n public NodeUnion<? extends IdentifierNode> getUnionForIdentifier();\\n \\n /**\\n * Changes the base type name for the parameter.\\n * @param identifier The base type name for the parameter.\\n */\\n public void setIdentifier(IdentifierNode identifier);\\n \\n /**\\n * Changes the base type name for the parameter.\\n * @param identifier The base type name for the parameter.\\n * @throws NullPointerException If the provided value is <code>null</code>.\\n * Node union values may have <code>null</code>\\n * contents but are never <code>null</code>\\n * themselves.\\n */\\n public void setUnionForIdentifier(NodeUnion<? extends IdentifierNode> identifier) throws NullPointerException;\\n \\n /**\\n * Gets the bounds over the base type.\\n * @return The bounds over the base type.\\n * @throws ClassCastException If the value of this property is a special node.\\n */\\n public DeclaredTypeListNode getBounds()throws ClassCastException;\\n \\n /**\\n * Gets the union object for the bounds over the base type.\\n * @return A union object representing The bounds over the base type.\\n */\\n public NodeUnion<? extends DeclaredTypeListNode> getUnionForBounds();\\n \\n /**\\n * Changes the bounds over the base type.\\n * @param bounds The bounds over the base type.\\n */\\n public void setBounds(DeclaredTypeListNode bounds);\\n \\n /**\\n * Changes the bounds over the base type.\\n * @param bounds The bounds over the base type.\\n * @throws NullPointerException If the provided value is <code>null</code>.\\n * Node union values may have <code>null</code>\\n * contents but are never <code>null</code>\\n * themselves.\\n */\\n public void setUnionForBounds(NodeUnion<? extends DeclaredTypeListNode> bounds) throws NullPointerException;\\n \\n /**\\n * Generates a deep copy of this node.\\n * @param factory The node factory to use to create the deep copy.\\n * @return The resulting deep copy node.\\n */\\n @Override\\n public TypeParameterNode deepCopy(BsjNodeFactory factory);\\n \\n}\",\n \"Type_use getType_use();\",\n \"public static boolean hasExplicitSuperBound(final AnnotatedTypeMirror wildcard) {\\n final Type.WildcardType wildcardType = (Type.WildcardType) wildcard.getUnderlyingType();\\n return wildcardType.isSuperBound() && !((WildcardType) wildcard.getUnderlyingType()).isUnbound();\\n }\",\n \"type getType();\",\n \"public abstract Type getGeneralizedType(Type type);\",\n \"private void createImplicitVariableType(XtextResource resource, IAcceptor<? super ICodeMining> acceptor) {\\n\\t\\tcreateImplicitVarValType(resource, acceptor, XtendVariableDeclaration.class,\\n\\t\\t\\tit -> it.getType(),\\n\\t\\t\\tit -> {\\n\\t\\t\\t\\tLightweightTypeReference type = getLightweightType(it.getRight());\\n\\t\\t\\t\\tif (type.isAny()) {\\n\\t\\t\\t\\t\\ttype = getTypeForVariableDeclaration(it.getRight());\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\treturn type.getSimpleName();\\n\\t\\t\\t},\\n\\t\\t\\tit -> it.getRight(),\\n\\t\\t\\t() -> this.grammar.getXVariableDeclarationAccess().getRightAssignment_3_1());\\n\\t}\",\n \"public static void bindTypes(Binder binder) {\\n //array converter\\n binder.convertToTypes(new ArrayMatcher(String.class), STRING_ARRAY_CONVERTER);\\n binder.convertToTypes(new ArrayMatcher(int.class), INT_ARRAY_CONVERTER);\\n binder.convertToTypes(new ArrayMatcher(boolean.class), BOOLEAN_ARRAY_CONVERTER);\\n binder.convertToTypes(new ArrayMatcher(double.class), DOUBLE_ARRAY_CONVERTER);\\n //files\\n binder.convertToTypes(new ClazzMatcher(File.class), new FileTypeConverter());\\n //URL\\n binder.convertToTypes(new ClazzMatcher(URL.class), new URLTypeConverter());\\n //URI\\n binder.convertToTypes(new ClazzMatcher(URI.class), new URITypeConverter());\\n //DateFormat\\n binder.convertToTypes(new ClazzMatcher(DateFormat.class), new DateFormatTypeConverter());\\n //Date\\n binder.convertToTypes(new ClazzMatcher(Date.class), new DateTypeConverter());\\n }\",\n \"public String getVariableType(String key) {\\n for (Map.Entry<PlainGraph, Map<String, PlainNode>> entry :graphNodeMap.entrySet()) {\\n if (entry.getValue().containsKey(key)) {\\n PlainNode node = entry.getValue().get(key);\\n PlainEdge edge = entry.getKey().outEdgeSet(node).stream()\\n .filter(e -> e.label().toString().contains(\\\"type:\\\"))\\n .collect(Collectors.toList())\\n .get(0);\\n if (edge.label().toString().contains(SHARP_TYPE)) {\\n return edge.label().toString().replace(String.format(\\\"%s:%s\\\",TYPE, SHARP_TYPE), \\\"\\\");\\n } else {\\n return edge.label().toString().replace(String.format(\\\"%s:\\\",TYPE), \\\"\\\");\\n }\\n }\\n }\\n // The variable key does not exist yet, it is only declared in the syntax tree\\n return null;\\n }\",\n \"private void computeSourceClass(JClassType type) {\\n if (type == null || alreadyRan.contains(type)) {\\n return;\\n }\\n \\n alreadyRan.add(type);\\n \\n /*\\n * IMPORTANT: Visit my supertype first. The implementation of\\n * com.google.gwt.lang.Cast.wrapJSO() depends on all superclasses having\\n * typeIds that are less than all their subclasses. This allows the same\\n * JSO to be wrapped stronger but not weaker.\\n */\\n computeSourceClass(type.extnds);\\n \\n if (!program.typeOracle.isInstantiatedType(type)) {\\n return;\\n }\\n \\n // Find all possible query types which I can satisfy\\n Set/* <JReferenceType> */yesSet = null;\\n for (Iterator iter = queriedTypes.keySet().iterator(); iter.hasNext();) {\\n JReferenceType qType = (JReferenceType) iter.next();\\n Set/* <JReferenceType> */querySet = (Set) queriedTypes.get(qType);\\n if (program.typeOracle.canTriviallyCast(type, qType)) {\\n for (Iterator it = querySet.iterator(); it.hasNext();) {\\n JReferenceType argType = (JReferenceType) it.next();\\n if (program.typeOracle.canTriviallyCast(type, argType)) {\\n if (yesSet == null) {\\n yesSet = new HashSet/* <JReferenceType> */();\\n }\\n yesSet.add(qType);\\n break;\\n }\\n }\\n }\\n }\\n \\n /*\\n * Weird: JavaScriptObjects MUST have a typeId, the implementation of\\n * Cast.wrapJSO depends on it.\\n */\\n if (yesSet == null && !program.isJavaScriptObject(type)) {\\n return; // won't satisfy anything\\n }\\n \\n // use an array to sort my yes set\\n JReferenceType[] yesArray = new JReferenceType[nextQueryId];\\n if (yesSet != null) {\\n for (Iterator it = yesSet.iterator(); it.hasNext();) {\\n JReferenceType yesType = (JReferenceType) it.next();\\n Integer boxedInt = (Integer) queryIds.get(yesType);\\n yesArray[boxedInt.intValue()] = yesType;\\n }\\n }\\n \\n // create a sparse lookup object\\n JsonObject jsonObject = new JsonObject(program);\\n for (int i = 0; i < nextQueryId; ++i) {\\n if (yesArray[i] != null) {\\n JIntLiteral labelExpr = program.getLiteralInt(i);\\n JIntLiteral valueExpr = program.getLiteralInt(1);\\n jsonObject.propInits.add(new JsonPropInit(program, labelExpr,\\n valueExpr));\\n }\\n }\\n \\n // add an entry for me\\n classes.add(type);\\n jsonObjects.add(jsonObject);\\n }\",\n \"private String getTypeVariableNamePrefix(String string)\\r\\n {\\r\\n string = string.trim();\\r\\n for (String typeVariableName : typeVariableNames)\\r\\n {\\r\\n if (string.equals(typeVariableName))\\r\\n {\\r\\n return typeVariableName;\\r\\n }\\r\\n if (string.startsWith(typeVariableName+\\\" \\\"))\\r\\n {\\r\\n return typeVariableName;\\r\\n }\\r\\n }\\r\\n return null;\\r\\n }\",\n \"@Test\\n public void untypedLambda1() {\\n DependentLink A = param(\\\"A\\\", Universe(0));\\n Expression type = Pi(params(A, param(\\\"a\\\", Reference(A))), Nat());\\n List<Binding> context = new ArrayList<>();\\n context.add(new TypedBinding(\\\"f\\\", type));\\n typeCheckExpr(context, \\\"\\\\\\\\lam x1 x2 => f x1 x2\\\", null);\\n }\",\n \"public abstract int getBindingVariable();\",\n \"@Override\\n\\tpublic boolean visit(SimpleName node) {\\n\\t\\tIBinding b = node.resolveBinding();\\n\\t\\tif (b != null) {\\n\\t\\t\\tif (b instanceof IVariableBinding) {\\n\\t\\t\\t\\tIVariableBinding vb = (IVariableBinding) b;\\n\\t\\t\\t\\tITypeBinding tb = vb.getType();\\n\\t\\t\\t\\tif (tb != null) {\\n\\t\\t\\t\\t\\ttb = tb.getTypeDeclaration();\\n\\t\\t\\t\\t\\tif (tb.isLocal() || tb.getQualifiedName().isEmpty())\\n\\t\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t\\t\\tthis.fullTokens.append(\\\" \\\" + getQualifiedName(tb) + \\\" \\\");\\n\\t\\t\\t\\t\\tthis.partialTokens.append(\\\" \\\" + getName(tb) + \\\" \\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t} else if (b instanceof ITypeBinding) {\\n\\t\\t\\t\\tITypeBinding tb = (ITypeBinding) b;\\n\\t\\t\\t\\ttb = tb.getTypeDeclaration();\\n\\t\\t\\t\\tif (tb.isLocal() || tb.getQualifiedName().isEmpty())\\n\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t\\tthis.fullTokens.append(\\\" \\\" + getQualifiedName(tb) + \\\" \\\");\\n\\t\\t\\t\\tthis.partialTokens.append(\\\" \\\" + getName(tb) + \\\" \\\");\\n\\t\\t\\t}\\n\\t\\t} else {\\n\\t\\t\\tthis.fullTokens.append(\\\" \\\" + node.getIdentifier() + \\\" \\\");\\n\\t\\t\\tthis.partialTokens.append(\\\" \\\" + node.getIdentifier() + \\\" \\\");\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"public default Type lowerBound() throws LookupException {\\n return this;\\n }\",\n \"public abstract JavaType resolveType(java.lang.reflect.Type jdkType);\",\n \"public int getTypeParameterBoundIndex() {\\n/* 377 */ return (this.value & 0xFF00) >> 8;\\n/* */ }\",\n \"public TypeMirror newTypeMirror(Binding binding) {\\n switch(binding.kind()) {\\n case Binding.FIELD:\\n case Binding.LOCAL:\\n case Binding.VARIABLE:\\n // For variables, return the type of the variable\\n return newTypeMirror(((VariableBinding) binding).type);\\n case Binding.PACKAGE:\\n return getNoType(TypeKind.PACKAGE);\\n case Binding.IMPORT:\\n //$NON-NLS-1$\\n throw new UnsupportedOperationException(\\\"NYI: import type \\\" + binding.kind());\\n case Binding.METHOD:\\n return new ExecutableTypeImpl(_env, (MethodBinding) binding);\\n case Binding.TYPE:\\n case Binding.RAW_TYPE:\\n case Binding.GENERIC_TYPE:\\n case Binding.PARAMETERIZED_TYPE:\\n ReferenceBinding referenceBinding = (ReferenceBinding) binding;\\n if ((referenceBinding.tagBits & TagBits.HasMissingType) != 0) {\\n return getErrorType(referenceBinding);\\n }\\n return new DeclaredTypeImpl(_env, (ReferenceBinding) binding);\\n case Binding.ARRAY_TYPE:\\n return new ArrayTypeImpl(_env, (ArrayBinding) binding);\\n case Binding.BASE_TYPE:\\n BaseTypeBinding btb = (BaseTypeBinding) binding;\\n switch(btb.id) {\\n case TypeIds.T_void:\\n return getNoType(TypeKind.VOID);\\n case TypeIds.T_null:\\n return getNullType();\\n default:\\n return getPrimitiveType(btb);\\n }\\n case Binding.WILDCARD_TYPE:\\n case // TODO compatible, but shouldn't it really be an intersection type?\\n Binding.INTERSECTION_TYPE:\\n return new WildcardTypeImpl(_env, (WildcardBinding) binding);\\n case Binding.TYPE_PARAMETER:\\n return new TypeVariableImpl(_env, (TypeVariableBinding) binding);\\n }\\n return null;\\n }\",\n \"public static boolean hasExplicitExtendsBound(final AnnotatedTypeMirror wildcard) {\\n final Type.WildcardType wildcardType = (Type.WildcardType) wildcard.getUnderlyingType();\\n return wildcardType.isExtendsBound() && !((WildcardType) wildcard.getUnderlyingType()).isUnbound();\\n }\",\n \"Binding<T> fixed();\",\n \"public static boolean isExplicitlyExtendsBounded(final AnnotatedWildcardType wildcardType) {\\n return ((Type.WildcardType) wildcardType.getUnderlyingType()).isExtendsBound() &&\\n !((Type.WildcardType) wildcardType.getUnderlyingType()).isUnbound();\\n }\",\n \"public static boolean isExplicitlySuperBounded(final AnnotatedWildcardType wildcardType) {\\n return ((Type.WildcardType) wildcardType.getUnderlyingType()).isSuperBound() &&\\n !((Type.WildcardType) wildcardType.getUnderlyingType()).isUnbound();\\n }\",\n \"public abstract void mo24206b(@C5937f C12292n0<? super T> n0Var);\",\n \"@org.junit.Test(timeout = 10000)\\n public void annotatedWildcardTypeNameWithExtends_cf27968() {\\n java.lang.String expected = (\\\"? extends @\\\" + (com.squareup.javapoet.AmplAnnotatedTypeNameTest.NN)) + \\\" java.lang.String\\\";\\n com.squareup.javapoet.TypeName type = com.squareup.javapoet.TypeName.get(java.lang.String.class).annotated(NEVER_NULL);\\n java.lang.String actual = com.squareup.javapoet.WildcardTypeName.subtypeOf(type).toString();\\n // AssertGenerator replace invocation\\n boolean o_annotatedWildcardTypeNameWithExtends_cf27968__8 = // StatementAdderMethod cloned existing statement\\n type.isBoxedPrimitive();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertFalse(o_annotatedWildcardTypeNameWithExtends_cf27968__8);\\n org.junit.Assert.assertEquals(expected, actual);\\n }\",\n \"Binding<T> unqualified();\",\n \"public List<Ref<? extends Type>> typeVariables();\",\n \"InstrumentedType withTypeVariable(TypeVariableToken typeVariable);\",\n \"public final void rule__JvmWildcardTypeReference__ConstraintsAssignment_2_1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.lwc.instances.ui/src-gen/org/xtext/lwc/instances/ui/contentassist/antlr/internal/InternalInstances.g:13567:1: ( ( ruleJvmLowerBound ) )\\n // ../org.xtext.lwc.instances.ui/src-gen/org/xtext/lwc/instances/ui/contentassist/antlr/internal/InternalInstances.g:13568:1: ( ruleJvmLowerBound )\\n {\\n // ../org.xtext.lwc.instances.ui/src-gen/org/xtext/lwc/instances/ui/contentassist/antlr/internal/InternalInstances.g:13568:1: ( ruleJvmLowerBound )\\n // ../org.xtext.lwc.instances.ui/src-gen/org/xtext/lwc/instances/ui/contentassist/antlr/internal/InternalInstances.g:13569:1: ruleJvmLowerBound\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getJvmWildcardTypeReferenceAccess().getConstraintsJvmLowerBoundParserRuleCall_2_1_0()); \\n }\\n pushFollow(FOLLOW_ruleJvmLowerBound_in_rule__JvmWildcardTypeReference__ConstraintsAssignment_2_127272);\\n ruleJvmLowerBound();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getJvmWildcardTypeReferenceAccess().getConstraintsJvmLowerBoundParserRuleCall_2_1_0()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"public void setchrtypVar(String value) {\\n setNamedWhereClauseParam(\\\"chrtypVar\\\", value);\\n }\",\n \"public static void main(String[] args) {\\t\\n\\t\\t// \\\"A wildcard parameterized type is not a concrete type that could appear in a new expression.\\\"\\n\\t\\t// in https://howtodoinjava.com/java/generics/complete-java-generics-tutorial/\\n\\t\\tList<Number> ls = new ArrayList<>(); //this is right \\n\\t\\tList<? extends Number> ls2 = new ArrayList<Long>(); //this is also right, but now there is no inference typing in the new expression. You have to be explicit\\n\\t\\tList<? extends Number> ls3 = new ArrayList<>(); //this is confusing. What is the type of this List?\\n\\t\\t//List<Number> ls = new ArrayList<Integer>(); //this is wrong and will give a compile error\\n\\t\\t\\n\\t\\tInteger n = Integer.valueOf(20);\\n\\t\\tDouble d = Double.valueOf(20.0);\\n\\t\\tls.add(n);\\n\\t\\tls.add(d);\\n\\t\\t\\n\\t\\tSystem.out.println(n instanceof Number);\\n\\t\\tSystem.out.println(n instanceof Integer);\\t\\t\\n\\t\\t\\n\\t\\tList<Integer> li = Arrays.asList(1, 2, 3);\\n\\t\\tSystem.out.println(\\\"sum = \\\" + sumOfList(li));\\t\\n\\t}\",\n \"public T caseBinding(Binding object)\\n {\\n return null;\\n }\",\n \"private @Nullable Type resolveType(@NotNull String typeName) {\\n QnTypeRef typeRef = new QnTypeRef(Qn.fromDotSeparated(typeName));\\n return (Type) typesResolver.resolve(typeRef);\\n }\",\n \"public static boolean isUnboundedOrExtendsBounded(final AnnotatedWildcardType wildcardType) {\\n return ((Type.WildcardType) wildcardType.getUnderlyingType()).isExtendsBound();\\n }\",\n \"@Test\\n public void testTypeOf() throws ValueDoesNotMatchTypeException {\\n TestEvaluationContext context = new TestEvaluationContext();\\n DecisionVariableDeclaration decl = new DecisionVariableDeclaration(\\\"x\\\", IntegerType.TYPE, null);\\n ConstantValue c0 = new ConstantValue(ValueFactory.createValue(IntegerType.TYPE, 0));\\n ConstraintSyntaxTree cst = new OCLFeatureCall(\\n new Variable(decl), IntegerType.LESS_EQUALS_INTEGER_INTEGER.getName(), c0);\\n EvaluationAccessor cValue = Utils.createValue(ConstraintType.TYPE, context, cst);\\n Utils.testTypeOf(context, ConstraintType.TYPE_OF, cValue);\\n cValue.release();\\n }\",\n \"public static ParameterExpression variable(Class type) { throw Extensions.todo(); }\",\n \"static int type_of_inx(String passed){\\n\\t\\treturn 1;\\n\\t}\",\n \"public void yAddBind(String bind_name, ObservableValue<? extends Number> bind);\",\n \"@SuppressWarnings(\\\"unchecked\\\")\\r\\n // we check type of defaultVal but compiler still complains about a cast to T\\r\\n protected <T> T getValue(Property prop, T defaultVal, Bound<? extends Number> bound) {\\r\\n checkInitialized();\\r\\n\\r\\n final @Nonnull Bound<? extends Number> realbound;\\r\\n if (bound != null) {\\r\\n realbound = bound;\\r\\n setBounds(prop, realbound);\\r\\n } else {\\r\\n realbound = Bound.MAX_BOUND;\\r\\n }\\r\\n\\r\\n addCommentDetails(prop, realbound);\\r\\n\\r\\n if (defaultVal instanceof Integer) {\\r\\n Bound<Integer> b = Bound.of(realbound.min.intValue(), realbound.max.intValue());\\r\\n return (T) boundValue(prop, b, (Integer) defaultVal);\\r\\n }\\r\\n if (defaultVal instanceof Float) {\\r\\n Bound<Float> b = Bound.of(realbound.min.floatValue(), realbound.max.floatValue());\\r\\n return (T) boundValue(prop, b, (Float) defaultVal);\\r\\n }\\r\\n if (defaultVal instanceof Double) {\\r\\n Bound<Double> b = Bound.of(realbound.min.doubleValue(), realbound.max.doubleValue());\\r\\n return (T) boundValue(prop, b, (Double) defaultVal);\\r\\n }\\r\\n if (defaultVal instanceof Boolean) {\\r\\n return (T) Boolean.valueOf(prop.getBoolean());\\r\\n }\\r\\n if (defaultVal instanceof int[]) {\\r\\n return (T) prop.getIntList();\\r\\n }\\r\\n if (defaultVal instanceof String) {\\r\\n return (T) prop.getString();\\r\\n }\\r\\n if (defaultVal instanceof String[]) {\\r\\n return (T) prop.getStringList();\\r\\n }\\r\\n\\r\\n throw new IllegalArgumentException(\\\"default value is not a config value type.\\\");\\r\\n }\",\n \"private static void a(Object param0, Class<?> param1) {\\n }\",\n \"public MapExecutionScope bind(Type type, Object binding) {\\n return bind(Key.get(type), binding);\\n }\",\n \"@Ignore\\n @Test\\n public void untypedLambda2() {\\n DependentLink A = param(\\\"A\\\", Universe(0));\\n DependentLink params = params(A, param(\\\"B\\\", Pi(Reference(A), Universe(0))), param(\\\"a\\\", Reference(A)));\\n Expression type = Pi(params, Apps(Reference(params.getNext()), Reference(params.getNext().getNext())));\\n List<Binding> context = new ArrayList<>();\\n context.add(new TypedBinding(\\\"f\\\", type));\\n\\n CheckTypeVisitor.Result result = typeCheckExpr(context, \\\"\\\\\\\\lam x1 x2 x3 => f x1 x2 x3\\\", null);\\n assertEquals(type, result.type);\\n }\",\n \"TypeDescription resolve(TypeDescription instrumentedType, TypeDescription.Generic parameterType);\",\n \"int getPlaceholderTypeValue();\",\n \"@Override\\n\\tpublic BasicType resolveCastTargetType(String name) {\\n\\t\\torg.hibernate.type.BasicType ormBasicType = (org.hibernate.type.BasicType) sessionFactory.getTypeHelper().heuristicType( name );\\n\\t\\tif ( ormBasicType == null ) {\\n\\t\\t\\treturn null;\\n\\t\\t}\\n\\n\\t\\treturn resolveBasicType( ormBasicType.getReturnedClass() );\\n\\t}\",\n \"@Override\\r\\n\\t\\tpublic final INamedElement resolveTypeForValueContext() {\\n\\t\\t\\treturn null;\\r\\n\\t\\t}\",\n \"BParameterTyping createBParameterTyping();\",\n \"public Type typeOf(Context ctxt, TypeEnv locals)\\n throws Failure {\\n TypeEnv te = ctxt.findVar(name, locals);\\n loc = te.getLoc();\\n return type = te.getType();\\n }\",\n \"@Test\\n void rawType_rawType() {\\n var ref = new TypeRef<String>() {};\\n assertEquals(String.class, ref.rawType());\\n }\",\n \"public int getNumTypeBound() {\\n return getTypeBoundList().getNumChild();\\n }\",\n \"private void resolveSingularAttributeTypeInformation(SingularAttributeBinding attributeBinding) {\\r\\n if (attributeBinding.getHibernateTypeDescriptor().getResolvedTypeMapping() != null) {\\r\\n return;\\r\\n }\\r\\n // we can determine the Hibernate Type if either:\\r\\n // \\t\\t1) the user explicitly named a Type in a HibernateTypeDescriptor\\r\\n // \\t\\t2) we know the java type of the attribute\\r\\n Type resolvedType;\\r\\n resolvedType = determineSingularTypeFromDescriptor(attributeBinding.getHibernateTypeDescriptor());\\r\\n if (resolvedType == null) {\\r\\n if (!attributeBinding.getAttribute().isSingular()) {\\r\\n throw new AssertionFailure(\\\"SingularAttributeBinding object has a plural attribute: \\\" + attributeBinding.getAttribute().getName());\\r\\n }\\r\\n final SingularAttribute singularAttribute = (SingularAttribute) attributeBinding.getAttribute();\\r\\n if (singularAttribute.getSingularAttributeType() != null) {\\r\\n resolvedType = getHeuristicType(\\r\\n singularAttribute.getSingularAttributeType().getClassName(), new Properties()\\r\\n );\\r\\n }\\r\\n }\\r\\n if (resolvedType != null) {\\r\\n pushHibernateTypeInformationDownIfNeeded(attributeBinding, resolvedType);\\r\\n }\\r\\n }\",\n \"java.lang.String getType();\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5873269","0.58136857","0.5732055","0.55127215","0.54531866","0.5448836","0.54032785","0.5390001","0.53781074","0.5319641","0.5310277","0.5235763","0.5187563","0.51568156","0.51051575","0.5082757","0.50807315","0.50397736","0.49919072","0.49791312","0.4977188","0.49359646","0.4933283","0.49245644","0.4921908","0.49112192","0.4910811","0.48992887","0.48875064","0.48803687","0.48777726","0.48659182","0.48335245","0.4832204","0.48304772","0.48300773","0.48227623","0.48215902","0.48203138","0.480668","0.47835","0.47834796","0.47761077","0.4766556","0.47654963","0.47625184","0.47463617","0.47451422","0.4738246","0.47346222","0.47259247","0.4724286","0.4724234","0.47209904","0.47202492","0.47149596","0.47123328","0.47112048","0.47087353","0.47068956","0.4701691","0.46923053","0.46883872","0.46859738","0.46802682","0.46674392","0.46605617","0.46504623","0.46477214","0.46432456","0.46422663","0.46265578","0.4623436","0.4622948","0.4615512","0.46128833","0.46043956","0.4592494","0.45912027","0.45897302","0.45892036","0.45805296","0.45795736","0.45664865","0.4562557","0.45551723","0.45550722","0.4549579","0.4548771","0.4548185","0.45446745","0.45445406","0.45401323","0.45371392","0.45329133","0.4532684","0.4529869","0.45272657","0.45227683","0.4515035","0.45092133"],"string":"[\n \"0.5873269\",\n \"0.58136857\",\n \"0.5732055\",\n \"0.55127215\",\n \"0.54531866\",\n \"0.5448836\",\n \"0.54032785\",\n \"0.5390001\",\n \"0.53781074\",\n \"0.5319641\",\n \"0.5310277\",\n \"0.5235763\",\n \"0.5187563\",\n \"0.51568156\",\n \"0.51051575\",\n \"0.5082757\",\n \"0.50807315\",\n \"0.50397736\",\n \"0.49919072\",\n \"0.49791312\",\n \"0.4977188\",\n \"0.49359646\",\n \"0.4933283\",\n \"0.49245644\",\n \"0.4921908\",\n \"0.49112192\",\n \"0.4910811\",\n \"0.48992887\",\n \"0.48875064\",\n \"0.48803687\",\n \"0.48777726\",\n \"0.48659182\",\n \"0.48335245\",\n \"0.4832204\",\n \"0.48304772\",\n \"0.48300773\",\n \"0.48227623\",\n \"0.48215902\",\n \"0.48203138\",\n \"0.480668\",\n \"0.47835\",\n \"0.47834796\",\n \"0.47761077\",\n \"0.4766556\",\n \"0.47654963\",\n \"0.47625184\",\n \"0.47463617\",\n \"0.47451422\",\n \"0.4738246\",\n \"0.47346222\",\n \"0.47259247\",\n \"0.4724286\",\n \"0.4724234\",\n \"0.47209904\",\n \"0.47202492\",\n \"0.47149596\",\n \"0.47123328\",\n \"0.47112048\",\n \"0.47087353\",\n \"0.47068956\",\n \"0.4701691\",\n \"0.46923053\",\n \"0.46883872\",\n \"0.46859738\",\n \"0.46802682\",\n \"0.46674392\",\n \"0.46605617\",\n \"0.46504623\",\n \"0.46477214\",\n \"0.46432456\",\n \"0.46422663\",\n \"0.46265578\",\n \"0.4623436\",\n \"0.4622948\",\n \"0.4615512\",\n \"0.46128833\",\n \"0.46043956\",\n \"0.4592494\",\n \"0.45912027\",\n \"0.45897302\",\n \"0.45892036\",\n \"0.45805296\",\n \"0.45795736\",\n \"0.45664865\",\n \"0.4562557\",\n \"0.45551723\",\n \"0.45550722\",\n \"0.4549579\",\n \"0.4548771\",\n \"0.4548185\",\n \"0.45446745\",\n \"0.45445406\",\n \"0.45401323\",\n \"0.45371392\",\n \"0.45329133\",\n \"0.4532684\",\n \"0.4529869\",\n \"0.45272657\",\n \"0.45227683\",\n \"0.4515035\",\n \"0.45092133\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":19775,"cells":{"query":{"kind":"string","value":"TODO Autogenerated method stub"},"document":{"kind":"string","value":"public static void main(String[] args) {\n\t\tList<String> x=getCompanyNames();\n\t\t\n\t\tfor(String y:x){\n\t\t\tSystem.out.println(y);\n\t\t}\n\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\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}","@Override\n\tpublic void comer() {\n\t\t\n\t}","@Override\n public void perish() {\n \n }","@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}","@Override\n\tpublic void anular() {\n\n\t}","@Override\n\tprotected void getExras() {\n\n\t}","@Override\r\n\tpublic void anularFact() {\n\t\t\r\n\t}","@Override\n\tpublic void entrenar() {\n\t\t\n\t}","@Override\n\tpublic void nadar() {\n\t\t\n\t}","@Override\r\n\tpublic void tires() {\n\t\t\r\n\t}","@Override\r\n\t\t\tpublic void ayuda() {\n\r\n\t\t\t}","@Override\n\tprotected void interr() {\n\t}","@Override\n\tpublic void emprestimo() {\n\n\t}","@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}","@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}","@Override\n\tpublic void grabar() {\n\t\t\n\t}","@Override\n\tpublic void gravarBd() {\n\t\t\n\t}","@Override\r\n\tpublic void rozmnozovat() {\n\t}","@Override\r\n\tpublic void dormir() {\n\t\t\r\n\t}","@Override\n protected void getExras() {\n }","@Override\r\n\tpublic void publierEnchere() {\n\t\t\r\n\t}","@Override\n\tpublic void nefesAl() {\n\n\t}","@Override\n\tpublic void ligar() {\n\t\t\n\t}","@Override\n public void func_104112_b() {\n \n }","@Override\n\tprotected void initdata() {\n\n\t}","@Override\n\tpublic void nghe() {\n\n\t}","@Override\n public void function()\n {\n }","@Override\n public void function()\n {\n }","public final void mo51373a() {\n }","@Override\r\n\tpublic void stehReagieren() {\r\n\t\t//\r\n\t}","@Override\n public void inizializza() {\n\n super.inizializza();\n }","@Override\n\tprotected void initData() {\n\t\t\n\t}","@Override\r\n\t\tpublic void init() {\n\t\t\t\r\n\t\t}","@Override\n\tpublic void sacrifier() {\n\t\t\n\t}","@Override\r\n\tprotected void InitData() {\n\t\t\r\n\t}","public void designBasement() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initialize() {\r\n\t\t\r\n\t\t\r\n\t}","public void gored() {\n\t\t\n\t}","@Override\r\n\tprotected void initData() {\n\r\n\t}","@Override\n\tpublic void einkaufen() {\n\t}","@Override\n protected void initialize() {\n\n \n }","public void mo38117a() {\n }","@Override\n\tprotected void getData() {\n\t\t\n\t}","Constructor() {\r\n\t\t \r\n\t }","@Override\r\n\tpublic void dibujar() {\n\t\t\r\n\t}","@Override\r\n\tpublic void dibujar() {\n\t\t\r\n\t}","@Override\n\tpublic void one() {\n\t\t\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","private stendhal() {\n\t}","@Override\n\tprotected void update() {\n\t\t\n\t}","@Override\n\t\t\tpublic void ic() {\n\t\t\t\t\n\t\t\t}","@Override\n\tprotected void initData() {\n\n\t}","@Override\n\tprotected void initData() {\n\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n public void init() {\n\n }","@Override\n\tprotected void initialize() {\n\t\t\n\t}","@Override\n\tprotected void initialize() {\n\t\t\n\t}","@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","@Override\n\tpublic void debite() {\n\t\t\n\t}","@Override\r\n\tpublic void init() {\n\r\n\t}","@Override\r\n\tpublic void init() {\n\r\n\t}","@Override\r\n\tpublic void init() {\n\r\n\t}","public contrustor(){\r\n\t}","@Override\n\tprotected void initialize() {\n\n\t}","@Override\r\n\tpublic void dispase() {\n\r\n\t}","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","@Override\n\tpublic void dtd() {\n\t\t\n\t}","@Override\n\tprotected void logic() {\n\n\t}","@Override\n\tprotected void lazyLoad() {\n\t\t\n\t}","public void mo4359a() {\n }","@Override\r\n\tprotected void initialize() {\n\r\n\t}","@Override\n public void memoria() {\n \n }","@Override\n\t\tpublic void method() {\n\t\t\t\n\t\t}","private RepositorioAtendimentoPublicoHBM() {\r\t}","@Override\n protected void initialize() \n {\n \n }","@Override\r\n\tpublic void getProposition() {\n\r\n\t}","@Override\n\tpublic void particular1() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\n\t}","@Override\n\tpublic void init() {\n\n\t}","@Override\n\tpublic void init() {\n\n\t}","@Override\n protected void prot() {\n }","@Override\r\n\tpublic void init()\r\n\t{\n\t}","@Override\n\tprotected void initValue()\n\t{\n\n\t}","public void mo55254a() {\n }"],"string":"[\n \"@Override\\r\\n\\tpublic void comer() \\r\\n\\t{\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void comer() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n public void perish() {\\n \\n }\",\n \"@Override\\r\\n\\t\\t\\tpublic void annadir() {\\n\\r\\n\\t\\t\\t}\",\n \"@Override\\n\\tpublic void anular() {\\n\\n\\t}\",\n \"@Override\\n\\tprotected void getExras() {\\n\\n\\t}\",\n \"@Override\\r\\n\\tpublic void anularFact() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void entrenar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void nadar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void tires() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\t\\t\\tpublic void ayuda() {\\n\\r\\n\\t\\t\\t}\",\n \"@Override\\n\\tprotected void interr() {\\n\\t}\",\n \"@Override\\n\\tpublic void emprestimo() {\\n\\n\\t}\",\n \"@Override\\r\\n\\tpublic void bicar() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void bicar() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void grabar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void gravarBd() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void rozmnozovat() {\\n\\t}\",\n \"@Override\\r\\n\\tpublic void dormir() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n protected void getExras() {\\n }\",\n \"@Override\\r\\n\\tpublic void publierEnchere() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void nefesAl() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void ligar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n public void func_104112_b() {\\n \\n }\",\n \"@Override\\n\\tprotected void initdata() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void nghe() {\\n\\n\\t}\",\n \"@Override\\n public void function()\\n {\\n }\",\n \"@Override\\n public void function()\\n {\\n }\",\n \"public final void mo51373a() {\\n }\",\n \"@Override\\r\\n\\tpublic void stehReagieren() {\\r\\n\\t\\t//\\r\\n\\t}\",\n \"@Override\\n public void inizializza() {\\n\\n super.inizializza();\\n }\",\n \"@Override\\n\\tprotected void initData() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\t\\tpublic void init() {\\n\\t\\t\\t\\r\\n\\t\\t}\",\n \"@Override\\n\\tpublic void sacrifier() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tprotected void InitData() {\\n\\t\\t\\r\\n\\t}\",\n \"public void designBasement() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initialize() {\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t}\",\n \"public void gored() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\r\\n\\t}\",\n \"@Override\\n\\tpublic void einkaufen() {\\n\\t}\",\n \"@Override\\n protected void initialize() {\\n\\n \\n }\",\n \"public void mo38117a() {\\n }\",\n \"@Override\\n\\tprotected void getData() {\\n\\t\\t\\n\\t}\",\n \"Constructor() {\\r\\n\\t\\t \\r\\n\\t }\",\n \"@Override\\r\\n\\tpublic void dibujar() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void dibujar() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void one() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"private stendhal() {\\n\\t}\",\n \"@Override\\n\\tprotected void update() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\t\\t\\tpublic void ic() {\\n\\t\\t\\t\\t\\n\\t\\t\\t}\",\n \"@Override\\n\\tprotected void initData() {\\n\\n\\t}\",\n \"@Override\\n\\tprotected void initData() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n public void init() {\\n\\n }\",\n \"@Override\\n\\tprotected void initialize() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tprotected void initialize() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void debite() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"public contrustor(){\\r\\n\\t}\",\n \"@Override\\n\\tprotected void initialize() {\\n\\n\\t}\",\n \"@Override\\r\\n\\tpublic void dispase() {\\n\\r\\n\\t}\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"@Override\\n\\tpublic void dtd() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tprotected void logic() {\\n\\n\\t}\",\n \"@Override\\n\\tprotected void lazyLoad() {\\n\\t\\t\\n\\t}\",\n \"public void mo4359a() {\\n }\",\n \"@Override\\r\\n\\tprotected void initialize() {\\n\\r\\n\\t}\",\n \"@Override\\n public void memoria() {\\n \\n }\",\n \"@Override\\n\\t\\tpublic void method() {\\n\\t\\t\\t\\n\\t\\t}\",\n \"private RepositorioAtendimentoPublicoHBM() {\\r\\t}\",\n \"@Override\\n protected void initialize() \\n {\\n \\n }\",\n \"@Override\\r\\n\\tpublic void getProposition() {\\n\\r\\n\\t}\",\n \"@Override\\n\\tpublic void particular1() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"@Override\\n protected void prot() {\\n }\",\n \"@Override\\r\\n\\tpublic void init()\\r\\n\\t{\\n\\t}\",\n \"@Override\\n\\tprotected void initValue()\\n\\t{\\n\\n\\t}\",\n \"public void mo55254a() {\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6671074","0.6567672","0.6523024","0.6481211","0.6477082","0.64591026","0.64127725","0.63762105","0.6276059","0.6254286","0.623686","0.6223679","0.6201336","0.61950207","0.61950207","0.61922914","0.6186996","0.6173591","0.61327106","0.61285484","0.6080161","0.6077022","0.6041561","0.6024072","0.6020252","0.59984857","0.59672105","0.59672105","0.5965777","0.59485507","0.5940904","0.59239364","0.5910017","0.5902906","0.58946234","0.5886006","0.58839184","0.58691067","0.5857751","0.58503544","0.5847024","0.58239377","0.5810564","0.5810089","0.5806823","0.5806823","0.5800025","0.5792378","0.5792378","0.5792378","0.5792378","0.5792378","0.5792378","0.5790187","0.5789414","0.5787092","0.57844025","0.57844025","0.5774479","0.5774479","0.5774479","0.5774479","0.5774479","0.5761362","0.57596046","0.57596046","0.575025","0.575025","0.575025","0.5747959","0.57337177","0.57337177","0.57337177","0.5721452","0.5715831","0.57142824","0.57140535","0.57140535","0.57140535","0.57140535","0.57140535","0.57140535","0.57140535","0.5711723","0.57041645","0.56991017","0.5696783","0.56881124","0.56774884","0.56734604","0.56728","0.56696945","0.5661323","0.5657007","0.5655942","0.5655942","0.5655942","0.56549734","0.5654792","0.5652974","0.5650185"],"string":"[\n \"0.6671074\",\n \"0.6567672\",\n \"0.6523024\",\n \"0.6481211\",\n \"0.6477082\",\n \"0.64591026\",\n \"0.64127725\",\n \"0.63762105\",\n \"0.6276059\",\n \"0.6254286\",\n \"0.623686\",\n \"0.6223679\",\n \"0.6201336\",\n \"0.61950207\",\n \"0.61950207\",\n \"0.61922914\",\n \"0.6186996\",\n \"0.6173591\",\n \"0.61327106\",\n \"0.61285484\",\n \"0.6080161\",\n \"0.6077022\",\n \"0.6041561\",\n \"0.6024072\",\n \"0.6020252\",\n \"0.59984857\",\n \"0.59672105\",\n \"0.59672105\",\n \"0.5965777\",\n \"0.59485507\",\n \"0.5940904\",\n \"0.59239364\",\n \"0.5910017\",\n \"0.5902906\",\n \"0.58946234\",\n \"0.5886006\",\n \"0.58839184\",\n \"0.58691067\",\n \"0.5857751\",\n \"0.58503544\",\n \"0.5847024\",\n \"0.58239377\",\n \"0.5810564\",\n \"0.5810089\",\n \"0.5806823\",\n \"0.5806823\",\n \"0.5800025\",\n \"0.5792378\",\n \"0.5792378\",\n \"0.5792378\",\n \"0.5792378\",\n \"0.5792378\",\n \"0.5792378\",\n \"0.5790187\",\n \"0.5789414\",\n \"0.5787092\",\n \"0.57844025\",\n \"0.57844025\",\n \"0.5774479\",\n \"0.5774479\",\n \"0.5774479\",\n \"0.5774479\",\n \"0.5774479\",\n \"0.5761362\",\n \"0.57596046\",\n \"0.57596046\",\n \"0.575025\",\n \"0.575025\",\n \"0.575025\",\n \"0.5747959\",\n \"0.57337177\",\n \"0.57337177\",\n \"0.57337177\",\n \"0.5721452\",\n \"0.5715831\",\n \"0.57142824\",\n \"0.57140535\",\n \"0.57140535\",\n \"0.57140535\",\n \"0.57140535\",\n \"0.57140535\",\n \"0.57140535\",\n \"0.57140535\",\n \"0.5711723\",\n \"0.57041645\",\n \"0.56991017\",\n \"0.5696783\",\n \"0.56881124\",\n \"0.56774884\",\n \"0.56734604\",\n \"0.56728\",\n \"0.56696945\",\n \"0.5661323\",\n \"0.5657007\",\n \"0.5655942\",\n \"0.5655942\",\n \"0.5655942\",\n \"0.56549734\",\n \"0.5654792\",\n \"0.5652974\",\n \"0.5650185\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":19776,"cells":{"query":{"kind":"string","value":"GET All User's Current Location"},"document":{"kind":"string","value":"@RequestMapping(value = \"/current_location/all\", method = RequestMethod.GET)\n public ResponseEntity<List<CurrentLocation>> getAllFavoriteZones() {\n\n List<CurrentLocation> currentLocationList = currentLocationService.findAllCurrentLocation();\n\n if(currentLocationList.isEmpty()){\n return new ResponseEntity<List<CurrentLocation>>(HttpStatus.NO_CONTENT);\n }\n\n return new ResponseEntity<List<CurrentLocation>>(currentLocationList, HttpStatus.OK);\n }"},"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":["Location getUserLocation()\n {\n\n return userLocation;\n }","public List<LocationInfo> getAllLocation() {\n return allLocation;\n }","com.google.ads.googleads.v6.resources.UserLocationView getUserLocationView();","Map<UUID, Optional<Location>> getAllCurrentLocations();","public Location getCurrentLocation();","private void getUserCurrentLocation()\n\t {\n\t NicerLocationManager locationMgr = new NicerLocationManager(this.getApplicationContext());\n\t if (locationMgr.isAnyLocationServicesAvailble())\n\t {\n\t Log.i(\"MAIN\",\"retrieving current location...\");\n\n\t // get current location\n\t locationMgr.getBestGuessLocation(1000,\n\t new NicerLocationListener() {\n\n\t @Override\n\t public void locationLoaded(final Location location)\n\t {\n\t // parse the current site forecast for users current\n\t // location in the background\n\t //LocationForecastSetup currentForecast = new LocationForecastSetup();\n\t //currentForecast.execute(location);\n\n\t // QLog.i(\"location loaded. finding nearest location...\");\n\t //\n\t // // find nearest weather location\n\t // Site nearestLocation =\n\t // Utils.findNearestSite(mApp, location);\n\t //\n\t // // insert the new current user location site\n\t // SitesProviderHelper.addSavedSite(mApp,\n\t // Long.valueOf(nearestLocation.getmSiteId()), true);\n\t //\n\t Log.i(\"MAIN\",\"location found \"+location.getLatitude()+\" \"+location.getLongitude());\n\t dS.lat=(float) location.getLatitude();\n\t dS.lon=(float) location.getLongitude();\n\t //TextView versionText = (TextView) findViewById(R.id.info_area_string);\n\t //versionText.setText(\"lat \" + location.getLatitude()+\" lon \"+location.getLongitude());\n\t \n\t //\n\t // /*\n\t // * add blank site if user has no saved sites. a blank site\n\t // * forecast is also added in the WeatherService class\n\t // * (runWeatherService method) to display correctly in the\n\t // * view pager.this is later removed when a user adds a\n\t // site\n\t // * and added again when user removes last site.\n\t // */\n\t // SitesProviderHelper.addBlankSavedSite(mApp);\n\t //\n\t // // re-order sites so current location is first\n\t // SitesProviderHelper.setSiteOrder(mApp,\n\t // nearestLocation.getmSiteId(), \"0\");\n\t // SitesProviderHelper.setSiteOrder(mApp,\n\t // Consts.BLANK_SITE_ID, \"1\");\n\n\t }\n\n\t @Override\n\t public void error()\n\t {\n\t // give option to change location settings or select a\n\t // location manually\n\t Log.e(\"MAIN\",\"Error finding best guess location\");\n dS.lat=0;\n dS.lon=0;\n if(once)\n {\n\t //promptSetLocationService(MainActivity.this);\n }\n once=false;\n\t }\n\n\t @Override\n\t public void onFinished()\n\t {\n\t //runUpdateService(false, false);\n\t \tLog.i(\"MAIN\",\"onFinished\");\n\t }\n\t });\n\n\t }\n\t else\n\t {\n\t \n\t \tdS.lat=0;\n dS.lon=0;\n\t \n\t }\n\n\t }","LocationsClient getLocations();","private void getLocation() {\n\t\tif (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {\n\t\t\tif (checkSelfPermission(Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t\t\n\t\tFusedLocationProviderClient locationProviderClient = LocationServices.getFusedLocationProviderClient(getApplicationContext());\n\t\tlocationProviderClient.getLastLocation().addOnSuccessListener(new OnSuccessListener<Location>() {\n\t\t\t@Override\n\t\t\tpublic void onSuccess(Location location) {\n\t\t\t\t\n\t\t\t\tfinal Location finalLocation = location;\n\t\t\t\t\n\t\t\t\tbtnGoToYou.setOnClickListener(new View.OnClickListener() {\n\t\t\t\t\t@Override\n\t\t\t\t\tpublic void onClick(View v) {\n\t\t\t\t\t\tLatLng userLocation = new LatLng(finalLocation.getLatitude(), finalLocation.getLongitude());\n\t\t\t\t\t\tmMap.addMarker(new MarkerOptions().position(userLocation).title(\"You are Here!\"));\n\t\t\t\t\t\tmMap.moveCamera(CameraUpdateFactory.newLatLng(userLocation));\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\t\n\t\t\t\t\n\t\t\t}\n\t\t});\n\t\t\n\t}","Location getLocation();","Location getLocation();","Location getLocation();","Location getLocation();","private void getUsersGeolocalisation(User user) {\n System.out.println(\"##########Getting \".concat(user.getScreenName()).concat(\" Location ##########\"));\n String[] place = user.getLocation().split(\",\");\n if (place != null && place.length != 0) {\n\n addEdgesToGraph(user.getScreenName(), place);\n }\n\n\n }","List<String> locations();","public Cursor getAllLocationsLoc(){\n if (mDB != null)\n return mDB.query(LOCNODE_TABLE, new String[] { FIELD_ROW_ID, FIELD_NAME, FIELD_ADDY, FIELD_LAT , FIELD_LNG, FIELD_TIMESVISITED }, null, null, null, null, null);\n Cursor c = null;\n return c;\n }","public abstract Location[] retrieveLocation();","@Transactional\n\tpublic List<Location> listAllLocation() {\n\n\t\tCriteriaBuilder builder = getSession().getCriteriaBuilder();\n\t\tCriteriaQuery<Location> criteriaQuery = builder.createQuery(Location.class);\n\t\tRoot<Location> root = criteriaQuery.from(Location.class);\n\t\tcriteriaQuery.select(root);\n\t\tQuery<Location> query = getSession().createQuery(criteriaQuery);\n\n\t\t// query.setFirstResult((page - 1) * 5);\n\t\t// query.setMaxResults(5);\n\t\treturn query.getResultList();\n\t}","@SuppressWarnings(\"unused\")\n Location getCurrentLocation();","public String getUserLocation(String systemUserAuthToken, String userId) {\n String path = mgmtUserPath + userId + \"/locations\";\n return sendRequest(getResponseType, systemUserAuthToken, path, allResult, statusCode200);\n }","public Location[] getLocation() {\r\n return locations;\r\n }","private LatLng getCurrentLocation() {\n if (ActivityCompat.checkSelfPermission(this,\n Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED &&\n ActivityCompat.checkSelfPermission(this,\n Manifest.permission.ACCESS_COARSE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\n\n return new LatLng(0, 0);\n }\n LocationManager locationManager = (LocationManager) getSystemService(this.LOCATION_SERVICE);\n Location current_location = locationManager.getLastKnownLocation(LocationManager.GPS_PROVIDER);\n if (current_location == null) {\n return new LatLng(0, 0);\n }\n return new LatLng(current_location.getLatitude(), current_location.getLongitude());\n }","public static void listGeolocations()\n {\n {\n JSONArray listGeolocations = new JSONArray();\n List<User> users = User.findAll();\n for (User user : users)\n {\n listGeolocations.add(Arrays.asList(user.firstName, user.latitude, user.longitude));\n }\n renderJSON(listGeolocations);\n }\n }","LocationTracker getTracker();","public Cursor getAllLocations()\n\t{\n\t\treturn db.query(DATABASE_TABLE, new String[] {\n\t\t\t\tKEY_DATE,KEY_LAT,KEY_LNG},\n\t\t\t\tnull,null,null,null,null);\n\t}","public String getCurrentLocation() {\n return currentLocation;\n }","@SuppressWarnings({\"MissingPermission\"})\n void getMyLocation() {\n mGoogleMap.setMyLocationEnabled(true);\n FusedLocationProviderClient locationClient = getFusedLocationProviderClient(getContext());\n locationClient.getLastLocation()\n .addOnSuccessListener(new OnSuccessListener<Location>() {\n @Override\n public void onSuccess(Location location) {\n if (location != null) {\n onLocationChanged(location);\n moveCamera();\n drawCircle();\n drawMarkers();\n }\n }\n })\n .addOnFailureListener(new OnFailureListener() {\n @Override\n public void onFailure(@NonNull Exception e) {\n Log.d(\"MapDemoActivity\", \"Error trying to get last GPS location\");\n e.printStackTrace();\n }\n });\n }","public List<String> getLocationAndCity(){\n\t\treturn jtemp.queryForList(\"SELECT location_id||city FROM locations\", String.class);\n\t}","public static MapLocation myLocation() {\n return RC.getLocation();\n }","Optional<VisitedLocation> getUserLocation(String userName) throws UserNotFoundException;","public Cursor getAllLocations(){\n if (mDB != null)\n return mDB.query(DATABASE_TABLE, new String[] { FIELD_ROW_ID, FIELD_LAT , FIELD_LNG, FIELD_ACC, FIELD_TIME } , null, null, null, null, null);\n Cursor c = null;\n return c;\n }","@GetMapping(path=\"/all\")\n public @ResponseBody Iterable<driverlocation> getAllUsers() {\n return locationRepository.findAll();\n }","public Location getCurrentLocation()\n\t{\n\t\treturn currentLocation;\n\t}","public Location getCurrentUserPosition() {\n if (ActivityCompat.checkSelfPermission(getContext(),\n Manifest.permission.ACCESS_FINE_LOCATION)\n != PackageManager.PERMISSION_GRANTED\n && ActivityCompat.checkSelfPermission(getContext(),\n Manifest.permission.ACCESS_COARSE_LOCATION)\n != PackageManager.PERMISSION_GRANTED) {\n String[] permissions = {Manifest.permission.ACCESS_COARSE_LOCATION, Manifest.permission.ACCESS_FINE_LOCATION};\n if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {\n requestPermissions(permissions, ACCESS_COARSE_LOCATION);\n }\n return null;\n }\n locationManager.requestLocationUpdates(\n LocationManager.GPS_PROVIDER, 5000, 10, this);\n return locationManager.getLastKnownLocation(LocationManager.GPS_PROVIDER);\n }","private void getCurrentLocation() {\n try {\n if (locationPermissionGranted) {\n Task<Location> locationResult = fusedLocationClient.getLastLocation();\n locationResult.addOnCompleteListener(this, new OnCompleteListener<Location>() {\n @Override\n public void onComplete(@NonNull Task<Location> task) {\n if (task.isSuccessful()) {\n // Set the map's camera position to the current location of the device.\n lastKnownLocation = task.getResult();\n if (lastKnownLocation != null) {\n map.moveCamera(CameraUpdateFactory.newLatLngZoom(\n new LatLng(lastKnownLocation.getLatitude(),\n lastKnownLocation.getLongitude()), DEFAULT_ZOOM));\n updateCameraBearing(map, location.getBearing());\n }\n }\n }\n });\n }\n } catch (SecurityException e) {\n Log.e(\"Exception: %s\", e.getMessage(), e);\n }\n }","private void showCurrentLocation() {\n if (checkSelfPermission(Manifest.permission.ACCESS_FINE_LOCATION) == PackageManager.PERMISSION_GRANTED) {\n LocationRequest locationRequest = LocationRequest.create();\n locationRequest.setInterval(10000);\n locationRequest.setFastestInterval(5000);\n locationRequest.setPriority(LocationRequest.PRIORITY_HIGH_ACCURACY);\n\n LocationCallback mLocationCallback = new LocationCallback() {\n @Override\n public void onLocationResult(LocationResult locationResult) {\n if (locationResult == null) {\n return;\n }\n for (Location location : locationResult.getLocations()) {\n if (location != null) {\n LatLng current = new LatLng(location.getLatitude(), location.getLongitude());\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(current, 18));\n if (checkSelfPermission(Manifest.permission.ACCESS_FINE_LOCATION) == PackageManager.PERMISSION_GRANTED) {\n mMap.setMyLocationEnabled(true);\n }\n\n }\n }\n }\n };\n\n LocationServices.getFusedLocationProviderClient(this).requestLocationUpdates(locationRequest, mLocationCallback, null);\n\n } else { // Show default location\n requestLocationPermission();\n\n LatLng current = new LatLng(34.180972800611016, -117.32337489724159);\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(current, 18));\n }\n }","public Location getLocation() {\n return getLocation(null);\n }","public List<String> locations() {\n return this.locations;\n }","void getDeviceLocation() {\n try {\n if (mLocationPermissionGranted) {\n Task<Location> locationResult = mFusedLocationProviderClient.getLastLocation();\n locationResult.addOnCompleteListener(getActivity(), new OnCompleteListener<Location>() {\n @Override\n public void onComplete(@NonNull Task<Location> task) {\n if (task.isSuccessful() && task.getResult()!=null) {\n // Set the map's camera position to the current location of the device.\n mLastKnownLocation = task.getResult();\n googleMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\n new LatLng(mLastKnownLocation.getLatitude(),\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\n getProfile(mLastKnownLocation);\n } else {\n Log.d(\"Map\", \"Current location is null. Using defaults.\");\n Log.e(\"Map\", \"Exception: %s\", task.getException());\n googleMap.moveCamera(CameraUpdateFactory\n .newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\n googleMap.getUiSettings().setMyLocationButtonEnabled(false);\n }\n }\n });\n }\n } catch (SecurityException e) {\n Log.e(\"Exception: %s\", e.getMessage());\n }\n }","@RequestMapping(value = \"/current_location/{user_id}\", method = RequestMethod.GET)\n public ResponseEntity<CurrentLocation> getAboutMe(@PathVariable String user_id) {\n\n CurrentLocation currentLocation = currentLocationService.findMyCurrentLocation(user_id);\n\n if (currentLocation == null) {\n System.out.println(\"User with id \" + user_id + \" not found\");\n return new ResponseEntity<CurrentLocation>(HttpStatus.NOT_FOUND);\n }\n\n return new ResponseEntity<CurrentLocation>(currentLocation, HttpStatus.OK);\n }","private void getMyLocation() {\n LatLng latLng = new LatLng(latitude, longitude);\n CameraUpdate cameraUpdate = CameraUpdateFactory.newLatLngZoom(latLng, 18);\n googleMap.animateCamera(cameraUpdate);\n }","private UserLocation getLocation() {\n if (ContextCompat.checkSelfPermission(this, Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\n\n if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {\n\n if (ActivityCompat.shouldShowRequestPermissionRationale(this, Manifest.permission.ACCESS_FINE_LOCATION)) {\n Toast.makeText(this, \"The Location Permission is needed to show the weather \", Toast.LENGTH_SHORT).show();\n } else {\n ActivityCompat.requestPermissions(this,\n new String[]{Manifest.permission.ACCESS_FINE_LOCATION},\n REQUEST_LOCATION_CODE_PERMISSION);\n }\n }\n\n } else {\n Log.d(TAG, \"getLocation: Permission Granted\");\n mFusedLocationClient.getLastLocation().addOnSuccessListener(new OnSuccessListener<Location>() {\n @Override\n public void onSuccess(Location location) {\n if (location != null) {\n msLocation = location;\n userLocation.setLat(location.getLatitude());\n userLocation.setLon(location.getLongitude());\n\n mLocationText.setText(getString(R.string.location_text\n , msLocation.getLatitude()\n , msLocation.getLongitude()\n , msLocation.getTime()));\n RelativeLayout.LayoutParams params = new RelativeLayout.LayoutParams(RelativeLayout.LayoutParams.WRAP_CONTENT, RelativeLayout.LayoutParams.WRAP_CONTENT);\n params.addRule(RelativeLayout.CENTER_HORIZONTAL);\n mLocationText.setGravity(Gravity.CENTER_HORIZONTAL);\n mLocationText.setLayoutParams(params);\n mLocationText.setTextSize(24);\n\n } else {\n mLocationText.setText(R.string.no_location);\n }\n }\n });\n\n }\n return userLocation;\n }","URI getLocation();","Collection<L> getLocations ();","public FrillLoc getLocation() {\n return MyLocation;\n }","private void getLocation() {\n //if you don't have permission for location services yet, ask\n if (ActivityCompat.checkSelfPermission(this,\n Manifest.permission.ACCESS_FINE_LOCATION)\n != PackageManager.PERMISSION_GRANTED) {\n ActivityCompat.requestPermissions(this, new String[]\n {Manifest.permission.ACCESS_FINE_LOCATION},\n REQUEST_LOCATION_PERMISSION);\n //have the app ask for location permission\n } else {\n fusedLocationClient.requestLocationUpdates\n (getLocationRequest(), mLocationCallback,\n null /* Looper */);\n //uses the type of request and the location callback to update the location\n /**fusedLocationClient.getLastLocation().addOnSuccessListener(\n new OnSuccessListener<Location>() {\n @Override\n public void onSuccess(Location location) {\n TextView error = findViewById(R.id.errorMsg);\n error.setVisibility(View.VISIBLE);\n\n if (location != null) {\n lastLocation = location;\n error.setText(\"location: \" + lastLocation.getLatitude());\n } else {\n error.setText(\"location not available\");\n }\n }\n });**/\n }\n }","public ArrayList getLocations()\r\n\t\t{\r\n\t\t\treturn locations;\r\n\t\t}","public Result getUserLocations(long userID){\n\t\tfinal JsonNode[] result = {null};\n\t\tString userID2 = \"\" + userID;\n\n\t\tSQLTools.StatementFiller sf = stmt -> stmt.setString(1, userID2);\n\t\tSQLTools.ResultSetProcessor rp = rs -> result[0] = SQLTools.columnsAndRowsToJSON(rs);\n\n\t\ttry{\n\t\t\tSQLTools.doPreparedStatement(db, \"SELECT l.location_id, l.name, l.location_type FROM Locations AS l, User_locations AS ul WHERE l.location_id = ul.location_id AND ul.user_id = ?\", sf, rp);\n\t\t} catch (SQLException e){\n\t\t\treturn internalServerError(\"coudn't load users locations\");\n\t\t}\n\n\t\treturn ok(result[0]);\n\t}","@RequestMapping(value=\"/locations\", method=RequestMethod.GET)\n\t@ResponseBody\n\tpublic Iterable<Location> getLocations(){\n\t\treturn lr.findAll();\n\t}","public String getLocation(){\r\n return Location;\r\n }","private void getlocation() {\n\t\t\t\ttry {\n\n\t\t\t\t\tgps = new GPSTracker(RegisterActivity.this);\n\t\t\t\t\tLog.d(\"LOgggg\", \"inCurrentlocation\");\n\n\t\t\t\t\t// check if GPS enabled\n\t\t\t\t\tif (gps.canGetLocation()) {\n\n\t\t\t\t\t\tlatitude = gps.getLatitude();\n\t\t\t\t\t\tlongitude = gps.getLongitude();\n\n\t\t\t\t\t\tLog.i(\"latitude\", \"\" + latitude);\n\t\t\t\t\t\tLog.i(\"longitude\", \"\" + longitude);\n\n\t\t\t\t\t\tnew getLoc().execute(\"\");\n\n\t\t\t\t\t} else {\n\t\t\t\t\t\tgps.showSettingsAlert();\n\t\t\t\t\t}\n\t\t\t\t} catch (Exception e) {\n\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t}\n\t\t\t}","com.google.ads.googleads.v14.common.LocationInfo getLocation();","public List<Location> getLocations() {\n\t\treturn locations;\n\t}","@Override\n\tpublic List<Historic_siteVO> MainLocation() throws Exception {\n\t\treturn dao.MainLocation();\n\t}","LiveData<List<Location>> getAllLocations() {\n return mAllLocations;\n }","@Test\n\tpublic void listLocations(){\n\t\tList<Location> lists = locationService.queryLoctionsByLat(29.8679775, 121.5450105);\n\t\t//System.out.println(lists.size()) ;\n\t\tfor(Location loc : lists){\n\t\t\tSystem.out.println(loc.getAddress_cn());\n\t\t}\n\t}","@GetMapping(\"/locations\")\n public List<Location> getLocations(){\n return service.getAll();\n }","@Override\n public Iterable<Location> listLocations() {\n return ImmutableSet.<Location>of();\n }","public void getLocation() {\n\n\t\t// If Google Play Services is available\n\t\tif (servicesConnected()) {\n\t\t\t// Get the current location\n\t\t\tLocation currentLocation = mLocationClient.getLastLocation();\n\n\t\t\t// Display the current location in the UI\n\t\t\tmLatLng.setText(LocationUtils.getLatLng(this, currentLocation));\n\n\t\t\tlatCurrent=(float) currentLocation.getLatitude();\n\t\t\tlntCurrent=(float) currentLocation.getLongitude();\n\n\t\t}\n\t}","public String getLocation(){\r\n return location;\r\n }","@Override\n public List<Location> getAll() {\n\n List<Location> locations = new ArrayList<>();\n \n Query query = new Query(\"Location\");\n PreparedQuery results = ds.prepare(query);\n\n for (Entity entity : results.asIterable()) {\n double lat = (double) entity.getProperty(\"lat\");\n double lng = (double) entity.getProperty(\"lng\");\n String title = (String) entity.getProperty(\"title\");\n String note = (String) entity.getProperty(\"note\");\n int voteCount = ((Long) entity.getProperty(\"voteCount\")).intValue();\n String keyString = KeyFactory.keyToString(entity.getKey()); \n // TODO: Handle situation when one of these properties is missing\n\n Location location = new Location(title, lat, lng, note, voteCount, keyString);\n locations.add(location);\n }\n return locations;\n }","public Location getLocation(){\n return location;\n }","private void getDeviceLocation() {\n try {\n if (mLocationPermissionGranted) {\n Task locationResult = fusedLocationClient.getLastLocation();\n locationResult.addOnCompleteListener(this, new OnCompleteListener<Location>() {\n @Override\n public void onComplete(@NonNull Task<Location> task) {\n if (task.isSuccessful() && task.getResult() != null) {\n // Set the map's camera position to the current location of the device.\n mLastKnownLocation = task.getResult();\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\n new LatLng(mLastKnownLocation.getLatitude(),\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\n } else {\n Log.d(TAG,\"Current location is null. Using defaults.\");\n Log.e(TAG, task.getException().toString());\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\n mMap.getUiSettings().setMyLocationButtonEnabled(false);\n }\n }\n });\n }\n } catch(SecurityException e) {\n Log.e(\"Exception: %s\", e.getMessage());\n }\n }","com.google.ads.googleads.v6.resources.LocationView getLocationView();","public int getCurrentLocation() {\n\t\treturn currentLocation;\n\t}","public LatLng getLocation() {\n LocationManager locationManager = (LocationManager) getActivity().getSystemService(LOCATION_SERVICE);\n String locationProvider = LocationManager.NETWORK_PROVIDER;\n Location location = locationManager.getLastKnownLocation(locationProvider);\n\n Double lat,lon;\n try {\n lat = location.getLatitude();\n lon = location.getLongitude();\n return new LatLng(lat, lon);\n }\n catch (NullPointerException e){\n e.printStackTrace();\n return null;\n }\n\n\n\n }","@SuppressLint({\"MissingPermission\", \"DefaultLocale\"})\n private void requestCurrentLocation() {\n mFusedLocationClient\n .getCurrentLocation(PRIORITY_HIGH_ACCURACY, cancellationTokenSource.getToken())\n .addOnCompleteListener(this, task -> {\n if (task.isSuccessful() && task.getResult() != null) {\n Location result = task.getResult();\n Log.d(TAG, String.format(\"getCurrentLocation() result: %s\", result.toString()));\n logOutputToScreen(String.format(\n \"Location (success): %f, %f\",\n result.getLatitude(), result.getLongitude()\n ));\n } else {\n Log.e(TAG, String.format(\"Location (failure): %s\", task.getException()));\n }\n });\n }","@Nullable\n public Location getCurrentLocation() {\n if (ActivityCompat.checkSelfPermission(getActivity(), Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\n return null;\n }\n LocationManager mLocationManager = (LocationManager) getActivity().getApplicationContext().getSystemService(Context.LOCATION_SERVICE);\n List<String> providers = mLocationManager.getProviders(true);\n Location bestLocation = null;\n for (String provider : providers) {\n Location l = mLocationManager.getLastKnownLocation(provider);\n if (l == null) {\n continue;\n }\n if (bestLocation == null || l.getAccuracy() < bestLocation.getAccuracy()) {\n // Found best last known location: %s\", l);\n bestLocation = l;\n }\n }\n return bestLocation;\n }","@Override\n public void onLocationResult(LocationResult locationResult) {\n Log.d(TAG, \"onSuccess: Location : \" + locationResult);\n if (locationResult == null) {\n return;\n }\n for (Location location : locationResult.getLocations()) {\n // Update UI with location data\n Toast.makeText(MainActivity.this, \"Location : \" + location, Toast.LENGTH_SHORT).show();\n }\n }","List<String> getSubscribedLocations(String userName) throws DatabaseException;","public ArrayList<LocationDetail> getLocations() throws LocationException;","@SuppressLint(\"MissingPermission\")\n @AfterPermissionGranted(PERMISSION_LOCATION_ID)\n private void getCurrentLocation() {\n Task<Location> task = fusedLocationProviderClient.getLastLocation();\n task.addOnSuccessListener(new OnSuccessListener<Location>() {\n @Override\n public void onSuccess(Location location) {\n if(location != null) {\n currentLat = location.getLatitude();\n currentLong = location.getLongitude();\n\n String placeType = \"museum\";\n\n int radius = ProfileFragment.getRadius();\n\n String url = \"https://maps.googleapis.com/maps/api/place/nearbysearch/json\" +\n \"?location=\" + currentLat + \",\" + currentLong +\n \"&radius=\" + radius +\n \"&type=\" + placeType +\n \"&key=\" + getResources().getString(R.string.maps_api_key);\n\n new NearbyMuseumTask().execute(url);\n\n mapFragment.getMapAsync(new OnMapReadyCallback() {\n @Override\n public void onMapReady(GoogleMap googleMap) {\n map = googleMap;\n setMapUISettings();\n\n map.animateCamera(CameraUpdateFactory.newLatLngZoom(\n new LatLng(currentLat,currentLong), 12\n ));\n }\n });\n }\n }\n });\n }","private void Location() {\n\n if (ContextCompat.checkSelfPermission(this, Manifest.permission.ACCESS_FINE_LOCATION)\n != PackageManager.PERMISSION_GRANTED) {\n ActivityCompat.requestPermissions(this, new String[]{Manifest.permission.ACCESS_FINE_LOCATION},\n PERMISSION_ACCESS_FINE_LOCATION);\n }\n\n //Google Play Location stored in loc variable\n fusedLocationClient = LocationServices.getFusedLocationProviderClient(this);\n fusedLocationClient.getLastLocation()\n .addOnSuccessListener(this, new OnSuccessListener<Location>() {\n\n\n @Override\n public void onSuccess(Location location) {\n\n // Got last known location. In some rare situations this can be null.\n if (location != null) {\n loc = location;\n getAddressFromLocation(loc.getLatitude(), loc.getLongitude());\n\n }\n }\n });\n }","private void getDeviceLocation() {\n /*\n * Get the best and most recent location of the device, which may be null in rare\n * cases when a location is not available.\n */\n try {\n if (mLocationPermissionGranted) {\n Task<Location> locationResult = mFusedLocationProviderClient.getLastLocation();\n locationResult.addOnCompleteListener(getActivity(), new OnCompleteListener<Location>() {\n @Override\n public void onComplete(@NonNull Task<Location> task) {\n if (task.isSuccessful()) {\n // Set the map's camera position to the current location of the device.\n mLastKnownLocation = task.getResult();\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\n new LatLng(mLastKnownLocation.getLatitude(),\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\n } else {\n mMap.moveCamera(CameraUpdateFactory\n .newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\n mMap.getUiSettings().setMyLocationButtonEnabled(false);\n }\n }\n });\n }\n } catch (SecurityException e) {\n Log.e(\"Exception: %s\", e.getMessage());\n }\n }","public Location location()\n {\n return myLoc;\n }","private void getLocation() {\n if (ActivityCompat.checkSelfPermission(getActivity(), Manifest.permission.ACCESS_FINE_LOCATION)\n != PackageManager.PERMISSION_GRANTED && ActivityCompat.checkSelfPermission(getActivity(), Manifest.permission.ACCESS_COARSE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\n if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {\n requestPermissions(new String[]{Manifest.permission.ACCESS_COARSE_LOCATION, Manifest.permission.ACCESS_FINE_LOCATION, Manifest.permission.INTERNET}\n , 10);\n }\n return;\n }\n\n //Update location\n locationManager.requestLocationUpdates(\"gps\", 5000, 0, listener);\n }","public Location getCurrentLocation() { return entity.getLocation(); }","private void getDeviceLocation() {\n /*\n * Get the best and most recent location of the device, which may be null in rare\n * cases when a location is not available.\n */\n try {\n if (mLocationPermissionGranted) {\n Task<Location> locationResult = mFusedLocationProviderClient.getLastLocation();\n locationResult.addOnCompleteListener(this, new OnCompleteListener<Location>() {\n @Override\n public void onComplete(@NonNull Task<Location> task) {\n if (task.isSuccessful()) {\n // Set the map's camera position to the current location of the device.\n mLastKnownLocation = task.getResult();\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\n new LatLng(mLastKnownLocation.getLatitude(),\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\n showCurrentPlace();\n } else {\n Log.d(TAG, \"Current location is null. Using defaults.\");\n Log.e(TAG, \"Exception: %s\", task.getException());\n mMap.moveCamera(CameraUpdateFactory\n .newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\n mMap.getUiSettings().setMyLocationButtonEnabled(false);\n }\n }\n });\n }\n } catch (SecurityException e) {\n Log.e(\"Exception: %s\", e.getMessage());\n }\n }","public String getLocation() {\n\t\tString longitude = request.getParameter(\"longitude\");\n\t\tString latitude = request.getParameter(\"latitude\");\n\t\trequest.getSession().setAttribute(\"longitude\", longitude);\n\t\trequest.getSession().setAttribute(\"latitude\", latitude);\n\t\t// 调用登录方法\n\t\tloginCommons.thirdType = \"W\";\n\t\texecute();\n\t\tJSONObject mem = HttpRequestUtils.httpGetx(\"http://1829840kl0.iask.in/cardcolv4/smemberwx!loadMex.asp\");\n\t\trequest.setAttribute(\"member\", mem);\n\t\treturn \"loadMe\";\n\t}","public Location getLocation() {\n\n if (isPermissionGranted()) {\n try\n {\n\n lastKnownLocation = LocationServices.FusedLocationApi\n .getLastLocation(googleApiClient);\n\n Log.e(TAG, \"getLocation: LAST KNOWN LOCATION\" + (lastKnownLocation==null));\n return lastKnownLocation;\n }\n catch (SecurityException e)\n {\n e.printStackTrace();\n }\n }\n\n return null;\n\n }","SiteLocation getLocatedAt();","private void getDeviceLocation() {\n try {\n if (mLocationPermissionGranted) {\n Task<Location> locationResult = mFusedLocationProviderClient.getLastLocation();\n locationResult.addOnCompleteListener(getActivity(), new OnCompleteListener<Location>() {\n @Override\n public void onComplete(@NonNull Task<Location> task) {\n if (task.isSuccessful()) {\n // Set the customer_map's camera position to the current location of the device.\n mLastKnownLocation = task.getResult();\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\n new LatLng(mLastKnownLocation.getLatitude(),\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\n getNearestDriver();\n } else {\n Log.d(TAG, \"Current location is null. Using defaults.\");\n Log.e(TAG, \"Exception: %s\", task.getException());\n mMap.moveCamera(CameraUpdateFactory\n .newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\n mMap.getUiSettings().setMyLocationButtonEnabled(false);\n\n }\n }\n });\n }\n } catch (SecurityException e) {\n Log.e(\"Exception: %s\", e.getMessage());\n }\n }","private void getDeviceLocation() {\n /*\n * Request location permission, so that we can get the location of the\n * device. The result of the permission request is handled by a callback,\n * onRequestPermissionsResult.\n */\n if (ContextCompat.checkSelfPermission(this.getApplicationContext(),\n android.Manifest.permission.ACCESS_FINE_LOCATION)\n == PackageManager.PERMISSION_GRANTED) {\n mLocationPermissionGranted = true;\n } else {\n ActivityCompat.requestPermissions(this,\n new String[]{android.Manifest.permission.ACCESS_FINE_LOCATION},\n PERMISSIONS_REQUEST_ACCESS_FINE_LOCATION);\n }\n /*\n * Get the best and most recent location of the device, which may be null in rare\n * cases when a location is not available.\n */\n if (mLocationPermissionGranted) {\n mLastKnownLocation = LocationServices.FusedLocationApi\n .getLastLocation(mGoogleApiClient);\n if (world.geoHome == null && mLastKnownLocation != null) {\n world.geoHome = new Vector2f(mLastKnownLocation.getLatitude(), mLastKnownLocation.getLongitude());\n }\n }\n\n // Set the map's camera position to the current location of the device.\n /*if (mCameraPosition != null) {\n mMap.moveCamera(CameraUpdateFactory.newCameraPosition(mCameraPosition));\n } else if (mLastKnownLocation != null) {\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\n new LatLng(mLastKnownLocation.getLatitude(),\n mLastKnownLocation.getLongitude()), mMap.getCameraPosition().zoom));\n } else {\n Log.d(TAG, \"Current location is null. Using defaults.\");\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\n mMap.getUiSettings().setMyLocationButtonEnabled(false);\n }*/\n }","public ArrayList<Location> getLocations() {\n return locations;\n }","public String getProfile_location()\r\n\t{\r\n\t\treturn profile_location;\r\n\t}","public ViewObjectImpl getLocations() {\n return (ViewObjectImpl)findViewObject(\"Locations\");\n }","private void getDeviceLocation() {\n /*\n * Get the best and most recent location of the device, which may be null in rare\n * cases when a location is not available.\n */\n try {\n if (mLocationPermissionGranted) {\n Task<Location> locationResult = mFusedLocationProviderClient.getLastLocation();\n locationResult.addOnSuccessListener(this, new OnSuccessListener<Location>() {\n @Override\n public void onSuccess(Location location) {\n if (location != null) {\n // Set the map's camera position to the current location of the device.\n mLastKnownLocation = location;\n Log.d(TAG, \"Latitude: \" + mLastKnownLocation.getLatitude());\n Log.d(TAG, \"Longitude: \" + mLastKnownLocation.getLongitude());\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\n new LatLng(mLastKnownLocation.getLatitude(),\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\n } else {\n Log.d(TAG, \"Current location is null. Using defaults.\");\n mMap.moveCamera(CameraUpdateFactory\n .newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\n }\n\n getCurrentPlaceLikelihoods();\n }\n });\n }\n } catch (Exception e) {\n Log.e(\"Exception: %s\", e.getMessage());\n }\n }","public String getLocation(){\n return location;\n }","private List<LatLng> getCoordinates() {\n\n List<LatLng> list = new ArrayList<>();\n SharedPreferences.Editor editor = walkingSharedPreferences.edit();\n int size = walkingSharedPreferences.getInt(user.getUsername(), 0);\n for(int actual = 0; actual < size; actual++) {\n String pos = walkingSharedPreferences.getString(user.getUsername() + \"_\" + actual, \"\");\n editor.remove(user.getUsername() + \"_\" + actual);\n String[] splitPos = pos.split(\" \");\n LatLng latLng = new LatLng(Double.parseDouble(splitPos[LAT]), Double.parseDouble(splitPos[LNG]));\n list.add(latLng);\n }\n editor.remove(user.getUsername());\n editor.apply();\n return list;\n\n }","public Location getLocation() {\n return loc;\n }","public Location getLocation() {\n return loc;\n }","private void getLocation() {\n LocationRequest mLocationRequestHighAccuracy = new LocationRequest();\n mLocationRequestHighAccuracy.setPriority(LocationRequest.PRIORITY_HIGH_ACCURACY);\n mLocationRequestHighAccuracy.setInterval(UPDATE_INTERVAL);\n mLocationRequestHighAccuracy.setFastestInterval(FASTEST_INTERVAL);\n\n if (ActivityCompat.checkSelfPermission(this,\n Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED || ActivityCompat.checkSelfPermission(this,\n Manifest.permission.ACCESS_COARSE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\n stopSelf();\n return;\n } else\n mFusedLocationClient.requestLocationUpdates(mLocationRequestHighAccuracy, new LocationCallback() {\n @Override\n public void onLocationResult(LocationResult locationResult) {\n\n Log.d(TAG, \"onLocationResult: got location result.\");\n\n Location location = locationResult.getLastLocation();\n if (location != null) {\n db.getReference(\"Users\").child(FirebaseAuth.getInstance().getCurrentUser().getUid()).addValueEventListener(new ValueEventListener() {\n @Override\n public void onDataChange(@NonNull DataSnapshot snapshot) {\n user=snapshot.getValue(User.class);\n }\n\n @Override\n public void onCancelled(@NonNull DatabaseError error) {\n\n }\n });\n\n\n LocationModel geoPoint = new LocationModel(location.getLatitude(), location.getLongitude());\n UserLocation userLocation = new UserLocation(geoPoint, user);\n saveUserLocation(userLocation);\n }\n\n /*if (location != null) {\n DocumentReference u = db.collection(\"Users\").document(FirebaseAuth.getInstance().getCurrentUser().getUid());\n u.get().addOnCompleteListener(new OnCompleteListener<DocumentSnapshot>() {\n @Override\n public void onComplete(@NonNull Task<DocumentSnapshot> task) {\n if (task.isSuccessful()) {\n user = task.getResult().toObject(User.class);\n }\n }\n });\n\n GeoPoint geoPoint = new GeoPoint(location.getLatitude(), location.getLongitude());\n UserLocation userLocation = new UserLocation(geoPoint, null, user);\n saveUserLocation(userLocation);\n }*/\n\n }\n },\n Looper.myLooper()); // Looper.myLooper tells this to repeat forever until thread is destroyed\n }","private void getDeviceLocation(){\n mFusedLocationProviderClient = LocationServices.getFusedLocationProviderClient(this);\n\n try {\n if (mLocationPermissionsGranted) {\n\n final Task location = mFusedLocationProviderClient.getLastLocation();\n location.addOnCompleteListener(new OnCompleteListener() {\n @Override\n public void onComplete(@NonNull Task task) {\n if(task.isSuccessful()){\n\n Location currentLocation = (Location) task.getResult();\n\n if (currentLocation == null) {\n\n // Provide default current location\n\n currentLocation = new Location(\"\");\n currentLocation.setLatitude(51.454514);\n currentLocation.setLongitude(-2.587910);\n }\n\n } else {\n Helpers.showToast(getApplicationContext(), \"Could not get current location\");\n }\n }\n });\n }\n } catch (SecurityException e) {\n Helpers.showToast(getApplicationContext(), \"Could not get current location\");\n }\n }","String getLocation();","String getLocation();","String getLocation();","private void getUserLocation()\n {\n Log.i(\"values\",getArguments().getString(\"type\"));\n fetchStores(placeID);\n }","public LatLng getLocation() {\n\t\treturn location;\n\t}","@Override\n public geo_location getLocation() {\n return location;\n }","private void getDeviceLocation() {\n /*\n * Get the best and most recent location of the device, which may be null in rare\n * cases when a location is not available.\n */\n try {\n if (mLocationPermissionGranted) {\n Task<Location> locationResult = mFusedLocationProviderClient.getLastLocation();\n locationResult.addOnSuccessListener(this, new OnSuccessListener<Location>() {\n @Override\n public void onSuccess(Location location) {\n if (location != null) {\n // Set the map's camera position to the current location of the device.\n mLastKnownLocation = location;\n Log.d(TAG, \"Latitude: \" + mLastKnownLocation.getLatitude());\n Log.d(TAG, \"Longitude: \" + mLastKnownLocation.getLongitude());\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\n new LatLng(mLastKnownLocation.getLatitude(),\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\n } else {\n Log.d(TAG, \"Current location is null. Using defaults.\");\n mMap.moveCamera(CameraUpdateFactory\n .newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\n }\n\n }\n });\n }\n } catch (Exception e) {\n Log.e(\"Exception: %s\", e.getMessage());\n }\n }","com.google.ads.googleads.v6.resources.UserLocationViewOrBuilder getUserLocationViewOrBuilder();","private void getDeviceLocation( ) {\n\n if (searchLocationMarker != null) {\n searchLocationMarker.remove();\n }\n\n mFusedLocationProviderClient =\n LocationServices.getFusedLocationProviderClient(this);\n //Task locationResult = mFusedLocationProviderClient.getLastLocation();\n try {\n if (mLocationPermissionGranted) {\n Task locationResult = mFusedLocationProviderClient.getLastLocation();\n locationResult.addOnCompleteListener(this, new OnCompleteListener() {\n @Override\n public void onComplete(@NonNull Task task) {\n if (task.isSuccessful()) {\n // Set the map's camera position to the current location of the device.\n System.out.println(\"Current location retrieved successfully!\");\n mLastKnownLocation = (Location) task.getResult(); // location?\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\n new LatLng(mLastKnownLocation.getLatitude(),\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\n searchLocationMarker = mMap.addMarker(new MarkerOptions()\n .position(new LatLng(mLastKnownLocation.getLatitude(),\n mLastKnownLocation.getLongitude()))\n .title(\"Current Location\")\n .icon(BitmapDescriptorFactory.fromBitmap(\n getBitmapFromVectorDrawable(\n MainActivity.this, R.drawable.ic_current_location_marker))));\n getNearbyStations(mLastKnownLocation.getLatitude(), mLastKnownLocation.getLongitude());\n\n } else {\n Log.d(TAG, \"Current location is null. Using defaults.\");\n Log.e(TAG, \"Exception: %s\", task.getException());\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\n mMap.getUiSettings().setMyLocationButtonEnabled(false);\n searchLocationMarker = mMap.addMarker(new MarkerOptions()\n .position(mDefaultLocation)\n .title(\"Current Location\")\n .icon(BitmapDescriptorFactory.fromBitmap(\n getBitmapFromVectorDrawable(\n MainActivity.this, R.drawable.ic_current_location_marker))));\n }\n }\n });\n }\n } catch(SecurityException e) {\n Log.e(\"Exception: %s\", e.getMessage());\n }\n\n }"],"string":"[\n \"Location getUserLocation()\\n {\\n\\n return userLocation;\\n }\",\n \"public List<LocationInfo> getAllLocation() {\\n return allLocation;\\n }\",\n \"com.google.ads.googleads.v6.resources.UserLocationView getUserLocationView();\",\n \"Map<UUID, Optional<Location>> getAllCurrentLocations();\",\n \"public Location getCurrentLocation();\",\n \"private void getUserCurrentLocation()\\n\\t {\\n\\t NicerLocationManager locationMgr = new NicerLocationManager(this.getApplicationContext());\\n\\t if (locationMgr.isAnyLocationServicesAvailble())\\n\\t {\\n\\t Log.i(\\\"MAIN\\\",\\\"retrieving current location...\\\");\\n\\n\\t // get current location\\n\\t locationMgr.getBestGuessLocation(1000,\\n\\t new NicerLocationListener() {\\n\\n\\t @Override\\n\\t public void locationLoaded(final Location location)\\n\\t {\\n\\t // parse the current site forecast for users current\\n\\t // location in the background\\n\\t //LocationForecastSetup currentForecast = new LocationForecastSetup();\\n\\t //currentForecast.execute(location);\\n\\n\\t // QLog.i(\\\"location loaded. finding nearest location...\\\");\\n\\t //\\n\\t // // find nearest weather location\\n\\t // Site nearestLocation =\\n\\t // Utils.findNearestSite(mApp, location);\\n\\t //\\n\\t // // insert the new current user location site\\n\\t // SitesProviderHelper.addSavedSite(mApp,\\n\\t // Long.valueOf(nearestLocation.getmSiteId()), true);\\n\\t //\\n\\t Log.i(\\\"MAIN\\\",\\\"location found \\\"+location.getLatitude()+\\\" \\\"+location.getLongitude());\\n\\t dS.lat=(float) location.getLatitude();\\n\\t dS.lon=(float) location.getLongitude();\\n\\t //TextView versionText = (TextView) findViewById(R.id.info_area_string);\\n\\t //versionText.setText(\\\"lat \\\" + location.getLatitude()+\\\" lon \\\"+location.getLongitude());\\n\\t \\n\\t //\\n\\t // /*\\n\\t // * add blank site if user has no saved sites. a blank site\\n\\t // * forecast is also added in the WeatherService class\\n\\t // * (runWeatherService method) to display correctly in the\\n\\t // * view pager.this is later removed when a user adds a\\n\\t // site\\n\\t // * and added again when user removes last site.\\n\\t // */\\n\\t // SitesProviderHelper.addBlankSavedSite(mApp);\\n\\t //\\n\\t // // re-order sites so current location is first\\n\\t // SitesProviderHelper.setSiteOrder(mApp,\\n\\t // nearestLocation.getmSiteId(), \\\"0\\\");\\n\\t // SitesProviderHelper.setSiteOrder(mApp,\\n\\t // Consts.BLANK_SITE_ID, \\\"1\\\");\\n\\n\\t }\\n\\n\\t @Override\\n\\t public void error()\\n\\t {\\n\\t // give option to change location settings or select a\\n\\t // location manually\\n\\t Log.e(\\\"MAIN\\\",\\\"Error finding best guess location\\\");\\n dS.lat=0;\\n dS.lon=0;\\n if(once)\\n {\\n\\t //promptSetLocationService(MainActivity.this);\\n }\\n once=false;\\n\\t }\\n\\n\\t @Override\\n\\t public void onFinished()\\n\\t {\\n\\t //runUpdateService(false, false);\\n\\t \\tLog.i(\\\"MAIN\\\",\\\"onFinished\\\");\\n\\t }\\n\\t });\\n\\n\\t }\\n\\t else\\n\\t {\\n\\t \\n\\t \\tdS.lat=0;\\n dS.lon=0;\\n\\t \\n\\t }\\n\\n\\t }\",\n \"LocationsClient getLocations();\",\n \"private void getLocation() {\\n\\t\\tif (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {\\n\\t\\t\\tif (checkSelfPermission(Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\tFusedLocationProviderClient locationProviderClient = LocationServices.getFusedLocationProviderClient(getApplicationContext());\\n\\t\\tlocationProviderClient.getLastLocation().addOnSuccessListener(new OnSuccessListener<Location>() {\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void onSuccess(Location location) {\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tfinal Location finalLocation = location;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tbtnGoToYou.setOnClickListener(new View.OnClickListener() {\\n\\t\\t\\t\\t\\t@Override\\n\\t\\t\\t\\t\\tpublic void onClick(View v) {\\n\\t\\t\\t\\t\\t\\tLatLng userLocation = new LatLng(finalLocation.getLatitude(), finalLocation.getLongitude());\\n\\t\\t\\t\\t\\t\\tmMap.addMarker(new MarkerOptions().position(userLocation).title(\\\"You are Here!\\\"));\\n\\t\\t\\t\\t\\t\\tmMap.moveCamera(CameraUpdateFactory.newLatLng(userLocation));\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t});\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t});\\n\\t\\t\\n\\t}\",\n \"Location getLocation();\",\n \"Location getLocation();\",\n \"Location getLocation();\",\n \"Location getLocation();\",\n \"private void getUsersGeolocalisation(User user) {\\n System.out.println(\\\"##########Getting \\\".concat(user.getScreenName()).concat(\\\" Location ##########\\\"));\\n String[] place = user.getLocation().split(\\\",\\\");\\n if (place != null && place.length != 0) {\\n\\n addEdgesToGraph(user.getScreenName(), place);\\n }\\n\\n\\n }\",\n \"List<String> locations();\",\n \"public Cursor getAllLocationsLoc(){\\n if (mDB != null)\\n return mDB.query(LOCNODE_TABLE, new String[] { FIELD_ROW_ID, FIELD_NAME, FIELD_ADDY, FIELD_LAT , FIELD_LNG, FIELD_TIMESVISITED }, null, null, null, null, null);\\n Cursor c = null;\\n return c;\\n }\",\n \"public abstract Location[] retrieveLocation();\",\n \"@Transactional\\n\\tpublic List<Location> listAllLocation() {\\n\\n\\t\\tCriteriaBuilder builder = getSession().getCriteriaBuilder();\\n\\t\\tCriteriaQuery<Location> criteriaQuery = builder.createQuery(Location.class);\\n\\t\\tRoot<Location> root = criteriaQuery.from(Location.class);\\n\\t\\tcriteriaQuery.select(root);\\n\\t\\tQuery<Location> query = getSession().createQuery(criteriaQuery);\\n\\n\\t\\t// query.setFirstResult((page - 1) * 5);\\n\\t\\t// query.setMaxResults(5);\\n\\t\\treturn query.getResultList();\\n\\t}\",\n \"@SuppressWarnings(\\\"unused\\\")\\n Location getCurrentLocation();\",\n \"public String getUserLocation(String systemUserAuthToken, String userId) {\\n String path = mgmtUserPath + userId + \\\"/locations\\\";\\n return sendRequest(getResponseType, systemUserAuthToken, path, allResult, statusCode200);\\n }\",\n \"public Location[] getLocation() {\\r\\n return locations;\\r\\n }\",\n \"private LatLng getCurrentLocation() {\\n if (ActivityCompat.checkSelfPermission(this,\\n Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED &&\\n ActivityCompat.checkSelfPermission(this,\\n Manifest.permission.ACCESS_COARSE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\\n\\n return new LatLng(0, 0);\\n }\\n LocationManager locationManager = (LocationManager) getSystemService(this.LOCATION_SERVICE);\\n Location current_location = locationManager.getLastKnownLocation(LocationManager.GPS_PROVIDER);\\n if (current_location == null) {\\n return new LatLng(0, 0);\\n }\\n return new LatLng(current_location.getLatitude(), current_location.getLongitude());\\n }\",\n \"public static void listGeolocations()\\n {\\n {\\n JSONArray listGeolocations = new JSONArray();\\n List<User> users = User.findAll();\\n for (User user : users)\\n {\\n listGeolocations.add(Arrays.asList(user.firstName, user.latitude, user.longitude));\\n }\\n renderJSON(listGeolocations);\\n }\\n }\",\n \"LocationTracker getTracker();\",\n \"public Cursor getAllLocations()\\n\\t{\\n\\t\\treturn db.query(DATABASE_TABLE, new String[] {\\n\\t\\t\\t\\tKEY_DATE,KEY_LAT,KEY_LNG},\\n\\t\\t\\t\\tnull,null,null,null,null);\\n\\t}\",\n \"public String getCurrentLocation() {\\n return currentLocation;\\n }\",\n \"@SuppressWarnings({\\\"MissingPermission\\\"})\\n void getMyLocation() {\\n mGoogleMap.setMyLocationEnabled(true);\\n FusedLocationProviderClient locationClient = getFusedLocationProviderClient(getContext());\\n locationClient.getLastLocation()\\n .addOnSuccessListener(new OnSuccessListener<Location>() {\\n @Override\\n public void onSuccess(Location location) {\\n if (location != null) {\\n onLocationChanged(location);\\n moveCamera();\\n drawCircle();\\n drawMarkers();\\n }\\n }\\n })\\n .addOnFailureListener(new OnFailureListener() {\\n @Override\\n public void onFailure(@NonNull Exception e) {\\n Log.d(\\\"MapDemoActivity\\\", \\\"Error trying to get last GPS location\\\");\\n e.printStackTrace();\\n }\\n });\\n }\",\n \"public List<String> getLocationAndCity(){\\n\\t\\treturn jtemp.queryForList(\\\"SELECT location_id||city FROM locations\\\", String.class);\\n\\t}\",\n \"public static MapLocation myLocation() {\\n return RC.getLocation();\\n }\",\n \"Optional<VisitedLocation> getUserLocation(String userName) throws UserNotFoundException;\",\n \"public Cursor getAllLocations(){\\n if (mDB != null)\\n return mDB.query(DATABASE_TABLE, new String[] { FIELD_ROW_ID, FIELD_LAT , FIELD_LNG, FIELD_ACC, FIELD_TIME } , null, null, null, null, null);\\n Cursor c = null;\\n return c;\\n }\",\n \"@GetMapping(path=\\\"/all\\\")\\n public @ResponseBody Iterable<driverlocation> getAllUsers() {\\n return locationRepository.findAll();\\n }\",\n \"public Location getCurrentLocation()\\n\\t{\\n\\t\\treturn currentLocation;\\n\\t}\",\n \"public Location getCurrentUserPosition() {\\n if (ActivityCompat.checkSelfPermission(getContext(),\\n Manifest.permission.ACCESS_FINE_LOCATION)\\n != PackageManager.PERMISSION_GRANTED\\n && ActivityCompat.checkSelfPermission(getContext(),\\n Manifest.permission.ACCESS_COARSE_LOCATION)\\n != PackageManager.PERMISSION_GRANTED) {\\n String[] permissions = {Manifest.permission.ACCESS_COARSE_LOCATION, Manifest.permission.ACCESS_FINE_LOCATION};\\n if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {\\n requestPermissions(permissions, ACCESS_COARSE_LOCATION);\\n }\\n return null;\\n }\\n locationManager.requestLocationUpdates(\\n LocationManager.GPS_PROVIDER, 5000, 10, this);\\n return locationManager.getLastKnownLocation(LocationManager.GPS_PROVIDER);\\n }\",\n \"private void getCurrentLocation() {\\n try {\\n if (locationPermissionGranted) {\\n Task<Location> locationResult = fusedLocationClient.getLastLocation();\\n locationResult.addOnCompleteListener(this, new OnCompleteListener<Location>() {\\n @Override\\n public void onComplete(@NonNull Task<Location> task) {\\n if (task.isSuccessful()) {\\n // Set the map's camera position to the current location of the device.\\n lastKnownLocation = task.getResult();\\n if (lastKnownLocation != null) {\\n map.moveCamera(CameraUpdateFactory.newLatLngZoom(\\n new LatLng(lastKnownLocation.getLatitude(),\\n lastKnownLocation.getLongitude()), DEFAULT_ZOOM));\\n updateCameraBearing(map, location.getBearing());\\n }\\n }\\n }\\n });\\n }\\n } catch (SecurityException e) {\\n Log.e(\\\"Exception: %s\\\", e.getMessage(), e);\\n }\\n }\",\n \"private void showCurrentLocation() {\\n if (checkSelfPermission(Manifest.permission.ACCESS_FINE_LOCATION) == PackageManager.PERMISSION_GRANTED) {\\n LocationRequest locationRequest = LocationRequest.create();\\n locationRequest.setInterval(10000);\\n locationRequest.setFastestInterval(5000);\\n locationRequest.setPriority(LocationRequest.PRIORITY_HIGH_ACCURACY);\\n\\n LocationCallback mLocationCallback = new LocationCallback() {\\n @Override\\n public void onLocationResult(LocationResult locationResult) {\\n if (locationResult == null) {\\n return;\\n }\\n for (Location location : locationResult.getLocations()) {\\n if (location != null) {\\n LatLng current = new LatLng(location.getLatitude(), location.getLongitude());\\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(current, 18));\\n if (checkSelfPermission(Manifest.permission.ACCESS_FINE_LOCATION) == PackageManager.PERMISSION_GRANTED) {\\n mMap.setMyLocationEnabled(true);\\n }\\n\\n }\\n }\\n }\\n };\\n\\n LocationServices.getFusedLocationProviderClient(this).requestLocationUpdates(locationRequest, mLocationCallback, null);\\n\\n } else { // Show default location\\n requestLocationPermission();\\n\\n LatLng current = new LatLng(34.180972800611016, -117.32337489724159);\\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(current, 18));\\n }\\n }\",\n \"public Location getLocation() {\\n return getLocation(null);\\n }\",\n \"public List<String> locations() {\\n return this.locations;\\n }\",\n \"void getDeviceLocation() {\\n try {\\n if (mLocationPermissionGranted) {\\n Task<Location> locationResult = mFusedLocationProviderClient.getLastLocation();\\n locationResult.addOnCompleteListener(getActivity(), new OnCompleteListener<Location>() {\\n @Override\\n public void onComplete(@NonNull Task<Location> task) {\\n if (task.isSuccessful() && task.getResult()!=null) {\\n // Set the map's camera position to the current location of the device.\\n mLastKnownLocation = task.getResult();\\n googleMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\\n new LatLng(mLastKnownLocation.getLatitude(),\\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\\n getProfile(mLastKnownLocation);\\n } else {\\n Log.d(\\\"Map\\\", \\\"Current location is null. Using defaults.\\\");\\n Log.e(\\\"Map\\\", \\\"Exception: %s\\\", task.getException());\\n googleMap.moveCamera(CameraUpdateFactory\\n .newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\\n googleMap.getUiSettings().setMyLocationButtonEnabled(false);\\n }\\n }\\n });\\n }\\n } catch (SecurityException e) {\\n Log.e(\\\"Exception: %s\\\", e.getMessage());\\n }\\n }\",\n \"@RequestMapping(value = \\\"/current_location/{user_id}\\\", method = RequestMethod.GET)\\n public ResponseEntity<CurrentLocation> getAboutMe(@PathVariable String user_id) {\\n\\n CurrentLocation currentLocation = currentLocationService.findMyCurrentLocation(user_id);\\n\\n if (currentLocation == null) {\\n System.out.println(\\\"User with id \\\" + user_id + \\\" not found\\\");\\n return new ResponseEntity<CurrentLocation>(HttpStatus.NOT_FOUND);\\n }\\n\\n return new ResponseEntity<CurrentLocation>(currentLocation, HttpStatus.OK);\\n }\",\n \"private void getMyLocation() {\\n LatLng latLng = new LatLng(latitude, longitude);\\n CameraUpdate cameraUpdate = CameraUpdateFactory.newLatLngZoom(latLng, 18);\\n googleMap.animateCamera(cameraUpdate);\\n }\",\n \"private UserLocation getLocation() {\\n if (ContextCompat.checkSelfPermission(this, Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\\n\\n if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {\\n\\n if (ActivityCompat.shouldShowRequestPermissionRationale(this, Manifest.permission.ACCESS_FINE_LOCATION)) {\\n Toast.makeText(this, \\\"The Location Permission is needed to show the weather \\\", Toast.LENGTH_SHORT).show();\\n } else {\\n ActivityCompat.requestPermissions(this,\\n new String[]{Manifest.permission.ACCESS_FINE_LOCATION},\\n REQUEST_LOCATION_CODE_PERMISSION);\\n }\\n }\\n\\n } else {\\n Log.d(TAG, \\\"getLocation: Permission Granted\\\");\\n mFusedLocationClient.getLastLocation().addOnSuccessListener(new OnSuccessListener<Location>() {\\n @Override\\n public void onSuccess(Location location) {\\n if (location != null) {\\n msLocation = location;\\n userLocation.setLat(location.getLatitude());\\n userLocation.setLon(location.getLongitude());\\n\\n mLocationText.setText(getString(R.string.location_text\\n , msLocation.getLatitude()\\n , msLocation.getLongitude()\\n , msLocation.getTime()));\\n RelativeLayout.LayoutParams params = new RelativeLayout.LayoutParams(RelativeLayout.LayoutParams.WRAP_CONTENT, RelativeLayout.LayoutParams.WRAP_CONTENT);\\n params.addRule(RelativeLayout.CENTER_HORIZONTAL);\\n mLocationText.setGravity(Gravity.CENTER_HORIZONTAL);\\n mLocationText.setLayoutParams(params);\\n mLocationText.setTextSize(24);\\n\\n } else {\\n mLocationText.setText(R.string.no_location);\\n }\\n }\\n });\\n\\n }\\n return userLocation;\\n }\",\n \"URI getLocation();\",\n \"Collection<L> getLocations ();\",\n \"public FrillLoc getLocation() {\\n return MyLocation;\\n }\",\n \"private void getLocation() {\\n //if you don't have permission for location services yet, ask\\n if (ActivityCompat.checkSelfPermission(this,\\n Manifest.permission.ACCESS_FINE_LOCATION)\\n != PackageManager.PERMISSION_GRANTED) {\\n ActivityCompat.requestPermissions(this, new String[]\\n {Manifest.permission.ACCESS_FINE_LOCATION},\\n REQUEST_LOCATION_PERMISSION);\\n //have the app ask for location permission\\n } else {\\n fusedLocationClient.requestLocationUpdates\\n (getLocationRequest(), mLocationCallback,\\n null /* Looper */);\\n //uses the type of request and the location callback to update the location\\n /**fusedLocationClient.getLastLocation().addOnSuccessListener(\\n new OnSuccessListener<Location>() {\\n @Override\\n public void onSuccess(Location location) {\\n TextView error = findViewById(R.id.errorMsg);\\n error.setVisibility(View.VISIBLE);\\n\\n if (location != null) {\\n lastLocation = location;\\n error.setText(\\\"location: \\\" + lastLocation.getLatitude());\\n } else {\\n error.setText(\\\"location not available\\\");\\n }\\n }\\n });**/\\n }\\n }\",\n \"public ArrayList getLocations()\\r\\n\\t\\t{\\r\\n\\t\\t\\treturn locations;\\r\\n\\t\\t}\",\n \"public Result getUserLocations(long userID){\\n\\t\\tfinal JsonNode[] result = {null};\\n\\t\\tString userID2 = \\\"\\\" + userID;\\n\\n\\t\\tSQLTools.StatementFiller sf = stmt -> stmt.setString(1, userID2);\\n\\t\\tSQLTools.ResultSetProcessor rp = rs -> result[0] = SQLTools.columnsAndRowsToJSON(rs);\\n\\n\\t\\ttry{\\n\\t\\t\\tSQLTools.doPreparedStatement(db, \\\"SELECT l.location_id, l.name, l.location_type FROM Locations AS l, User_locations AS ul WHERE l.location_id = ul.location_id AND ul.user_id = ?\\\", sf, rp);\\n\\t\\t} catch (SQLException e){\\n\\t\\t\\treturn internalServerError(\\\"coudn't load users locations\\\");\\n\\t\\t}\\n\\n\\t\\treturn ok(result[0]);\\n\\t}\",\n \"@RequestMapping(value=\\\"/locations\\\", method=RequestMethod.GET)\\n\\t@ResponseBody\\n\\tpublic Iterable<Location> getLocations(){\\n\\t\\treturn lr.findAll();\\n\\t}\",\n \"public String getLocation(){\\r\\n return Location;\\r\\n }\",\n \"private void getlocation() {\\n\\t\\t\\t\\ttry {\\n\\n\\t\\t\\t\\t\\tgps = new GPSTracker(RegisterActivity.this);\\n\\t\\t\\t\\t\\tLog.d(\\\"LOgggg\\\", \\\"inCurrentlocation\\\");\\n\\n\\t\\t\\t\\t\\t// check if GPS enabled\\n\\t\\t\\t\\t\\tif (gps.canGetLocation()) {\\n\\n\\t\\t\\t\\t\\t\\tlatitude = gps.getLatitude();\\n\\t\\t\\t\\t\\t\\tlongitude = gps.getLongitude();\\n\\n\\t\\t\\t\\t\\t\\tLog.i(\\\"latitude\\\", \\\"\\\" + latitude);\\n\\t\\t\\t\\t\\t\\tLog.i(\\\"longitude\\\", \\\"\\\" + longitude);\\n\\n\\t\\t\\t\\t\\t\\tnew getLoc().execute(\\\"\\\");\\n\\n\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\tgps.showSettingsAlert();\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t} catch (Exception e) {\\n\\t\\t\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\",\n \"com.google.ads.googleads.v14.common.LocationInfo getLocation();\",\n \"public List<Location> getLocations() {\\n\\t\\treturn locations;\\n\\t}\",\n \"@Override\\n\\tpublic List<Historic_siteVO> MainLocation() throws Exception {\\n\\t\\treturn dao.MainLocation();\\n\\t}\",\n \"LiveData<List<Location>> getAllLocations() {\\n return mAllLocations;\\n }\",\n \"@Test\\n\\tpublic void listLocations(){\\n\\t\\tList<Location> lists = locationService.queryLoctionsByLat(29.8679775, 121.5450105);\\n\\t\\t//System.out.println(lists.size()) ;\\n\\t\\tfor(Location loc : lists){\\n\\t\\t\\tSystem.out.println(loc.getAddress_cn());\\n\\t\\t}\\n\\t}\",\n \"@GetMapping(\\\"/locations\\\")\\n public List<Location> getLocations(){\\n return service.getAll();\\n }\",\n \"@Override\\n public Iterable<Location> listLocations() {\\n return ImmutableSet.<Location>of();\\n }\",\n \"public void getLocation() {\\n\\n\\t\\t// If Google Play Services is available\\n\\t\\tif (servicesConnected()) {\\n\\t\\t\\t// Get the current location\\n\\t\\t\\tLocation currentLocation = mLocationClient.getLastLocation();\\n\\n\\t\\t\\t// Display the current location in the UI\\n\\t\\t\\tmLatLng.setText(LocationUtils.getLatLng(this, currentLocation));\\n\\n\\t\\t\\tlatCurrent=(float) currentLocation.getLatitude();\\n\\t\\t\\tlntCurrent=(float) currentLocation.getLongitude();\\n\\n\\t\\t}\\n\\t}\",\n \"public String getLocation(){\\r\\n return location;\\r\\n }\",\n \"@Override\\n public List<Location> getAll() {\\n\\n List<Location> locations = new ArrayList<>();\\n \\n Query query = new Query(\\\"Location\\\");\\n PreparedQuery results = ds.prepare(query);\\n\\n for (Entity entity : results.asIterable()) {\\n double lat = (double) entity.getProperty(\\\"lat\\\");\\n double lng = (double) entity.getProperty(\\\"lng\\\");\\n String title = (String) entity.getProperty(\\\"title\\\");\\n String note = (String) entity.getProperty(\\\"note\\\");\\n int voteCount = ((Long) entity.getProperty(\\\"voteCount\\\")).intValue();\\n String keyString = KeyFactory.keyToString(entity.getKey()); \\n // TODO: Handle situation when one of these properties is missing\\n\\n Location location = new Location(title, lat, lng, note, voteCount, keyString);\\n locations.add(location);\\n }\\n return locations;\\n }\",\n \"public Location getLocation(){\\n return location;\\n }\",\n \"private void getDeviceLocation() {\\n try {\\n if (mLocationPermissionGranted) {\\n Task locationResult = fusedLocationClient.getLastLocation();\\n locationResult.addOnCompleteListener(this, new OnCompleteListener<Location>() {\\n @Override\\n public void onComplete(@NonNull Task<Location> task) {\\n if (task.isSuccessful() && task.getResult() != null) {\\n // Set the map's camera position to the current location of the device.\\n mLastKnownLocation = task.getResult();\\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\\n new LatLng(mLastKnownLocation.getLatitude(),\\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\\n } else {\\n Log.d(TAG,\\\"Current location is null. Using defaults.\\\");\\n Log.e(TAG, task.getException().toString());\\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\\n mMap.getUiSettings().setMyLocationButtonEnabled(false);\\n }\\n }\\n });\\n }\\n } catch(SecurityException e) {\\n Log.e(\\\"Exception: %s\\\", e.getMessage());\\n }\\n }\",\n \"com.google.ads.googleads.v6.resources.LocationView getLocationView();\",\n \"public int getCurrentLocation() {\\n\\t\\treturn currentLocation;\\n\\t}\",\n \"public LatLng getLocation() {\\n LocationManager locationManager = (LocationManager) getActivity().getSystemService(LOCATION_SERVICE);\\n String locationProvider = LocationManager.NETWORK_PROVIDER;\\n Location location = locationManager.getLastKnownLocation(locationProvider);\\n\\n Double lat,lon;\\n try {\\n lat = location.getLatitude();\\n lon = location.getLongitude();\\n return new LatLng(lat, lon);\\n }\\n catch (NullPointerException e){\\n e.printStackTrace();\\n return null;\\n }\\n\\n\\n\\n }\",\n \"@SuppressLint({\\\"MissingPermission\\\", \\\"DefaultLocale\\\"})\\n private void requestCurrentLocation() {\\n mFusedLocationClient\\n .getCurrentLocation(PRIORITY_HIGH_ACCURACY, cancellationTokenSource.getToken())\\n .addOnCompleteListener(this, task -> {\\n if (task.isSuccessful() && task.getResult() != null) {\\n Location result = task.getResult();\\n Log.d(TAG, String.format(\\\"getCurrentLocation() result: %s\\\", result.toString()));\\n logOutputToScreen(String.format(\\n \\\"Location (success): %f, %f\\\",\\n result.getLatitude(), result.getLongitude()\\n ));\\n } else {\\n Log.e(TAG, String.format(\\\"Location (failure): %s\\\", task.getException()));\\n }\\n });\\n }\",\n \"@Nullable\\n public Location getCurrentLocation() {\\n if (ActivityCompat.checkSelfPermission(getActivity(), Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\\n return null;\\n }\\n LocationManager mLocationManager = (LocationManager) getActivity().getApplicationContext().getSystemService(Context.LOCATION_SERVICE);\\n List<String> providers = mLocationManager.getProviders(true);\\n Location bestLocation = null;\\n for (String provider : providers) {\\n Location l = mLocationManager.getLastKnownLocation(provider);\\n if (l == null) {\\n continue;\\n }\\n if (bestLocation == null || l.getAccuracy() < bestLocation.getAccuracy()) {\\n // Found best last known location: %s\\\", l);\\n bestLocation = l;\\n }\\n }\\n return bestLocation;\\n }\",\n \"@Override\\n public void onLocationResult(LocationResult locationResult) {\\n Log.d(TAG, \\\"onSuccess: Location : \\\" + locationResult);\\n if (locationResult == null) {\\n return;\\n }\\n for (Location location : locationResult.getLocations()) {\\n // Update UI with location data\\n Toast.makeText(MainActivity.this, \\\"Location : \\\" + location, Toast.LENGTH_SHORT).show();\\n }\\n }\",\n \"List<String> getSubscribedLocations(String userName) throws DatabaseException;\",\n \"public ArrayList<LocationDetail> getLocations() throws LocationException;\",\n \"@SuppressLint(\\\"MissingPermission\\\")\\n @AfterPermissionGranted(PERMISSION_LOCATION_ID)\\n private void getCurrentLocation() {\\n Task<Location> task = fusedLocationProviderClient.getLastLocation();\\n task.addOnSuccessListener(new OnSuccessListener<Location>() {\\n @Override\\n public void onSuccess(Location location) {\\n if(location != null) {\\n currentLat = location.getLatitude();\\n currentLong = location.getLongitude();\\n\\n String placeType = \\\"museum\\\";\\n\\n int radius = ProfileFragment.getRadius();\\n\\n String url = \\\"https://maps.googleapis.com/maps/api/place/nearbysearch/json\\\" +\\n \\\"?location=\\\" + currentLat + \\\",\\\" + currentLong +\\n \\\"&radius=\\\" + radius +\\n \\\"&type=\\\" + placeType +\\n \\\"&key=\\\" + getResources().getString(R.string.maps_api_key);\\n\\n new NearbyMuseumTask().execute(url);\\n\\n mapFragment.getMapAsync(new OnMapReadyCallback() {\\n @Override\\n public void onMapReady(GoogleMap googleMap) {\\n map = googleMap;\\n setMapUISettings();\\n\\n map.animateCamera(CameraUpdateFactory.newLatLngZoom(\\n new LatLng(currentLat,currentLong), 12\\n ));\\n }\\n });\\n }\\n }\\n });\\n }\",\n \"private void Location() {\\n\\n if (ContextCompat.checkSelfPermission(this, Manifest.permission.ACCESS_FINE_LOCATION)\\n != PackageManager.PERMISSION_GRANTED) {\\n ActivityCompat.requestPermissions(this, new String[]{Manifest.permission.ACCESS_FINE_LOCATION},\\n PERMISSION_ACCESS_FINE_LOCATION);\\n }\\n\\n //Google Play Location stored in loc variable\\n fusedLocationClient = LocationServices.getFusedLocationProviderClient(this);\\n fusedLocationClient.getLastLocation()\\n .addOnSuccessListener(this, new OnSuccessListener<Location>() {\\n\\n\\n @Override\\n public void onSuccess(Location location) {\\n\\n // Got last known location. In some rare situations this can be null.\\n if (location != null) {\\n loc = location;\\n getAddressFromLocation(loc.getLatitude(), loc.getLongitude());\\n\\n }\\n }\\n });\\n }\",\n \"private void getDeviceLocation() {\\n /*\\n * Get the best and most recent location of the device, which may be null in rare\\n * cases when a location is not available.\\n */\\n try {\\n if (mLocationPermissionGranted) {\\n Task<Location> locationResult = mFusedLocationProviderClient.getLastLocation();\\n locationResult.addOnCompleteListener(getActivity(), new OnCompleteListener<Location>() {\\n @Override\\n public void onComplete(@NonNull Task<Location> task) {\\n if (task.isSuccessful()) {\\n // Set the map's camera position to the current location of the device.\\n mLastKnownLocation = task.getResult();\\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\\n new LatLng(mLastKnownLocation.getLatitude(),\\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\\n } else {\\n mMap.moveCamera(CameraUpdateFactory\\n .newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\\n mMap.getUiSettings().setMyLocationButtonEnabled(false);\\n }\\n }\\n });\\n }\\n } catch (SecurityException e) {\\n Log.e(\\\"Exception: %s\\\", e.getMessage());\\n }\\n }\",\n \"public Location location()\\n {\\n return myLoc;\\n }\",\n \"private void getLocation() {\\n if (ActivityCompat.checkSelfPermission(getActivity(), Manifest.permission.ACCESS_FINE_LOCATION)\\n != PackageManager.PERMISSION_GRANTED && ActivityCompat.checkSelfPermission(getActivity(), Manifest.permission.ACCESS_COARSE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\\n if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {\\n requestPermissions(new String[]{Manifest.permission.ACCESS_COARSE_LOCATION, Manifest.permission.ACCESS_FINE_LOCATION, Manifest.permission.INTERNET}\\n , 10);\\n }\\n return;\\n }\\n\\n //Update location\\n locationManager.requestLocationUpdates(\\\"gps\\\", 5000, 0, listener);\\n }\",\n \"public Location getCurrentLocation() { return entity.getLocation(); }\",\n \"private void getDeviceLocation() {\\n /*\\n * Get the best and most recent location of the device, which may be null in rare\\n * cases when a location is not available.\\n */\\n try {\\n if (mLocationPermissionGranted) {\\n Task<Location> locationResult = mFusedLocationProviderClient.getLastLocation();\\n locationResult.addOnCompleteListener(this, new OnCompleteListener<Location>() {\\n @Override\\n public void onComplete(@NonNull Task<Location> task) {\\n if (task.isSuccessful()) {\\n // Set the map's camera position to the current location of the device.\\n mLastKnownLocation = task.getResult();\\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\\n new LatLng(mLastKnownLocation.getLatitude(),\\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\\n showCurrentPlace();\\n } else {\\n Log.d(TAG, \\\"Current location is null. Using defaults.\\\");\\n Log.e(TAG, \\\"Exception: %s\\\", task.getException());\\n mMap.moveCamera(CameraUpdateFactory\\n .newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\\n mMap.getUiSettings().setMyLocationButtonEnabled(false);\\n }\\n }\\n });\\n }\\n } catch (SecurityException e) {\\n Log.e(\\\"Exception: %s\\\", e.getMessage());\\n }\\n }\",\n \"public String getLocation() {\\n\\t\\tString longitude = request.getParameter(\\\"longitude\\\");\\n\\t\\tString latitude = request.getParameter(\\\"latitude\\\");\\n\\t\\trequest.getSession().setAttribute(\\\"longitude\\\", longitude);\\n\\t\\trequest.getSession().setAttribute(\\\"latitude\\\", latitude);\\n\\t\\t// 调用登录方法\\n\\t\\tloginCommons.thirdType = \\\"W\\\";\\n\\t\\texecute();\\n\\t\\tJSONObject mem = HttpRequestUtils.httpGetx(\\\"http://1829840kl0.iask.in/cardcolv4/smemberwx!loadMex.asp\\\");\\n\\t\\trequest.setAttribute(\\\"member\\\", mem);\\n\\t\\treturn \\\"loadMe\\\";\\n\\t}\",\n \"public Location getLocation() {\\n\\n if (isPermissionGranted()) {\\n try\\n {\\n\\n lastKnownLocation = LocationServices.FusedLocationApi\\n .getLastLocation(googleApiClient);\\n\\n Log.e(TAG, \\\"getLocation: LAST KNOWN LOCATION\\\" + (lastKnownLocation==null));\\n return lastKnownLocation;\\n }\\n catch (SecurityException e)\\n {\\n e.printStackTrace();\\n }\\n }\\n\\n return null;\\n\\n }\",\n \"SiteLocation getLocatedAt();\",\n \"private void getDeviceLocation() {\\n try {\\n if (mLocationPermissionGranted) {\\n Task<Location> locationResult = mFusedLocationProviderClient.getLastLocation();\\n locationResult.addOnCompleteListener(getActivity(), new OnCompleteListener<Location>() {\\n @Override\\n public void onComplete(@NonNull Task<Location> task) {\\n if (task.isSuccessful()) {\\n // Set the customer_map's camera position to the current location of the device.\\n mLastKnownLocation = task.getResult();\\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\\n new LatLng(mLastKnownLocation.getLatitude(),\\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\\n getNearestDriver();\\n } else {\\n Log.d(TAG, \\\"Current location is null. Using defaults.\\\");\\n Log.e(TAG, \\\"Exception: %s\\\", task.getException());\\n mMap.moveCamera(CameraUpdateFactory\\n .newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\\n mMap.getUiSettings().setMyLocationButtonEnabled(false);\\n\\n }\\n }\\n });\\n }\\n } catch (SecurityException e) {\\n Log.e(\\\"Exception: %s\\\", e.getMessage());\\n }\\n }\",\n \"private void getDeviceLocation() {\\n /*\\n * Request location permission, so that we can get the location of the\\n * device. The result of the permission request is handled by a callback,\\n * onRequestPermissionsResult.\\n */\\n if (ContextCompat.checkSelfPermission(this.getApplicationContext(),\\n android.Manifest.permission.ACCESS_FINE_LOCATION)\\n == PackageManager.PERMISSION_GRANTED) {\\n mLocationPermissionGranted = true;\\n } else {\\n ActivityCompat.requestPermissions(this,\\n new String[]{android.Manifest.permission.ACCESS_FINE_LOCATION},\\n PERMISSIONS_REQUEST_ACCESS_FINE_LOCATION);\\n }\\n /*\\n * Get the best and most recent location of the device, which may be null in rare\\n * cases when a location is not available.\\n */\\n if (mLocationPermissionGranted) {\\n mLastKnownLocation = LocationServices.FusedLocationApi\\n .getLastLocation(mGoogleApiClient);\\n if (world.geoHome == null && mLastKnownLocation != null) {\\n world.geoHome = new Vector2f(mLastKnownLocation.getLatitude(), mLastKnownLocation.getLongitude());\\n }\\n }\\n\\n // Set the map's camera position to the current location of the device.\\n /*if (mCameraPosition != null) {\\n mMap.moveCamera(CameraUpdateFactory.newCameraPosition(mCameraPosition));\\n } else if (mLastKnownLocation != null) {\\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\\n new LatLng(mLastKnownLocation.getLatitude(),\\n mLastKnownLocation.getLongitude()), mMap.getCameraPosition().zoom));\\n } else {\\n Log.d(TAG, \\\"Current location is null. Using defaults.\\\");\\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\\n mMap.getUiSettings().setMyLocationButtonEnabled(false);\\n }*/\\n }\",\n \"public ArrayList<Location> getLocations() {\\n return locations;\\n }\",\n \"public String getProfile_location()\\r\\n\\t{\\r\\n\\t\\treturn profile_location;\\r\\n\\t}\",\n \"public ViewObjectImpl getLocations() {\\n return (ViewObjectImpl)findViewObject(\\\"Locations\\\");\\n }\",\n \"private void getDeviceLocation() {\\n /*\\n * Get the best and most recent location of the device, which may be null in rare\\n * cases when a location is not available.\\n */\\n try {\\n if (mLocationPermissionGranted) {\\n Task<Location> locationResult = mFusedLocationProviderClient.getLastLocation();\\n locationResult.addOnSuccessListener(this, new OnSuccessListener<Location>() {\\n @Override\\n public void onSuccess(Location location) {\\n if (location != null) {\\n // Set the map's camera position to the current location of the device.\\n mLastKnownLocation = location;\\n Log.d(TAG, \\\"Latitude: \\\" + mLastKnownLocation.getLatitude());\\n Log.d(TAG, \\\"Longitude: \\\" + mLastKnownLocation.getLongitude());\\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\\n new LatLng(mLastKnownLocation.getLatitude(),\\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\\n } else {\\n Log.d(TAG, \\\"Current location is null. Using defaults.\\\");\\n mMap.moveCamera(CameraUpdateFactory\\n .newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\\n }\\n\\n getCurrentPlaceLikelihoods();\\n }\\n });\\n }\\n } catch (Exception e) {\\n Log.e(\\\"Exception: %s\\\", e.getMessage());\\n }\\n }\",\n \"public String getLocation(){\\n return location;\\n }\",\n \"private List<LatLng> getCoordinates() {\\n\\n List<LatLng> list = new ArrayList<>();\\n SharedPreferences.Editor editor = walkingSharedPreferences.edit();\\n int size = walkingSharedPreferences.getInt(user.getUsername(), 0);\\n for(int actual = 0; actual < size; actual++) {\\n String pos = walkingSharedPreferences.getString(user.getUsername() + \\\"_\\\" + actual, \\\"\\\");\\n editor.remove(user.getUsername() + \\\"_\\\" + actual);\\n String[] splitPos = pos.split(\\\" \\\");\\n LatLng latLng = new LatLng(Double.parseDouble(splitPos[LAT]), Double.parseDouble(splitPos[LNG]));\\n list.add(latLng);\\n }\\n editor.remove(user.getUsername());\\n editor.apply();\\n return list;\\n\\n }\",\n \"public Location getLocation() {\\n return loc;\\n }\",\n \"public Location getLocation() {\\n return loc;\\n }\",\n \"private void getLocation() {\\n LocationRequest mLocationRequestHighAccuracy = new LocationRequest();\\n mLocationRequestHighAccuracy.setPriority(LocationRequest.PRIORITY_HIGH_ACCURACY);\\n mLocationRequestHighAccuracy.setInterval(UPDATE_INTERVAL);\\n mLocationRequestHighAccuracy.setFastestInterval(FASTEST_INTERVAL);\\n\\n if (ActivityCompat.checkSelfPermission(this,\\n Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED || ActivityCompat.checkSelfPermission(this,\\n Manifest.permission.ACCESS_COARSE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\\n stopSelf();\\n return;\\n } else\\n mFusedLocationClient.requestLocationUpdates(mLocationRequestHighAccuracy, new LocationCallback() {\\n @Override\\n public void onLocationResult(LocationResult locationResult) {\\n\\n Log.d(TAG, \\\"onLocationResult: got location result.\\\");\\n\\n Location location = locationResult.getLastLocation();\\n if (location != null) {\\n db.getReference(\\\"Users\\\").child(FirebaseAuth.getInstance().getCurrentUser().getUid()).addValueEventListener(new ValueEventListener() {\\n @Override\\n public void onDataChange(@NonNull DataSnapshot snapshot) {\\n user=snapshot.getValue(User.class);\\n }\\n\\n @Override\\n public void onCancelled(@NonNull DatabaseError error) {\\n\\n }\\n });\\n\\n\\n LocationModel geoPoint = new LocationModel(location.getLatitude(), location.getLongitude());\\n UserLocation userLocation = new UserLocation(geoPoint, user);\\n saveUserLocation(userLocation);\\n }\\n\\n /*if (location != null) {\\n DocumentReference u = db.collection(\\\"Users\\\").document(FirebaseAuth.getInstance().getCurrentUser().getUid());\\n u.get().addOnCompleteListener(new OnCompleteListener<DocumentSnapshot>() {\\n @Override\\n public void onComplete(@NonNull Task<DocumentSnapshot> task) {\\n if (task.isSuccessful()) {\\n user = task.getResult().toObject(User.class);\\n }\\n }\\n });\\n\\n GeoPoint geoPoint = new GeoPoint(location.getLatitude(), location.getLongitude());\\n UserLocation userLocation = new UserLocation(geoPoint, null, user);\\n saveUserLocation(userLocation);\\n }*/\\n\\n }\\n },\\n Looper.myLooper()); // Looper.myLooper tells this to repeat forever until thread is destroyed\\n }\",\n \"private void getDeviceLocation(){\\n mFusedLocationProviderClient = LocationServices.getFusedLocationProviderClient(this);\\n\\n try {\\n if (mLocationPermissionsGranted) {\\n\\n final Task location = mFusedLocationProviderClient.getLastLocation();\\n location.addOnCompleteListener(new OnCompleteListener() {\\n @Override\\n public void onComplete(@NonNull Task task) {\\n if(task.isSuccessful()){\\n\\n Location currentLocation = (Location) task.getResult();\\n\\n if (currentLocation == null) {\\n\\n // Provide default current location\\n\\n currentLocation = new Location(\\\"\\\");\\n currentLocation.setLatitude(51.454514);\\n currentLocation.setLongitude(-2.587910);\\n }\\n\\n } else {\\n Helpers.showToast(getApplicationContext(), \\\"Could not get current location\\\");\\n }\\n }\\n });\\n }\\n } catch (SecurityException e) {\\n Helpers.showToast(getApplicationContext(), \\\"Could not get current location\\\");\\n }\\n }\",\n \"String getLocation();\",\n \"String getLocation();\",\n \"String getLocation();\",\n \"private void getUserLocation()\\n {\\n Log.i(\\\"values\\\",getArguments().getString(\\\"type\\\"));\\n fetchStores(placeID);\\n }\",\n \"public LatLng getLocation() {\\n\\t\\treturn location;\\n\\t}\",\n \"@Override\\n public geo_location getLocation() {\\n return location;\\n }\",\n \"private void getDeviceLocation() {\\n /*\\n * Get the best and most recent location of the device, which may be null in rare\\n * cases when a location is not available.\\n */\\n try {\\n if (mLocationPermissionGranted) {\\n Task<Location> locationResult = mFusedLocationProviderClient.getLastLocation();\\n locationResult.addOnSuccessListener(this, new OnSuccessListener<Location>() {\\n @Override\\n public void onSuccess(Location location) {\\n if (location != null) {\\n // Set the map's camera position to the current location of the device.\\n mLastKnownLocation = location;\\n Log.d(TAG, \\\"Latitude: \\\" + mLastKnownLocation.getLatitude());\\n Log.d(TAG, \\\"Longitude: \\\" + mLastKnownLocation.getLongitude());\\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\\n new LatLng(mLastKnownLocation.getLatitude(),\\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\\n } else {\\n Log.d(TAG, \\\"Current location is null. Using defaults.\\\");\\n mMap.moveCamera(CameraUpdateFactory\\n .newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\\n }\\n\\n }\\n });\\n }\\n } catch (Exception e) {\\n Log.e(\\\"Exception: %s\\\", e.getMessage());\\n }\\n }\",\n \"com.google.ads.googleads.v6.resources.UserLocationViewOrBuilder getUserLocationViewOrBuilder();\",\n \"private void getDeviceLocation( ) {\\n\\n if (searchLocationMarker != null) {\\n searchLocationMarker.remove();\\n }\\n\\n mFusedLocationProviderClient =\\n LocationServices.getFusedLocationProviderClient(this);\\n //Task locationResult = mFusedLocationProviderClient.getLastLocation();\\n try {\\n if (mLocationPermissionGranted) {\\n Task locationResult = mFusedLocationProviderClient.getLastLocation();\\n locationResult.addOnCompleteListener(this, new OnCompleteListener() {\\n @Override\\n public void onComplete(@NonNull Task task) {\\n if (task.isSuccessful()) {\\n // Set the map's camera position to the current location of the device.\\n System.out.println(\\\"Current location retrieved successfully!\\\");\\n mLastKnownLocation = (Location) task.getResult(); // location?\\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(\\n new LatLng(mLastKnownLocation.getLatitude(),\\n mLastKnownLocation.getLongitude()), DEFAULT_ZOOM));\\n searchLocationMarker = mMap.addMarker(new MarkerOptions()\\n .position(new LatLng(mLastKnownLocation.getLatitude(),\\n mLastKnownLocation.getLongitude()))\\n .title(\\\"Current Location\\\")\\n .icon(BitmapDescriptorFactory.fromBitmap(\\n getBitmapFromVectorDrawable(\\n MainActivity.this, R.drawable.ic_current_location_marker))));\\n getNearbyStations(mLastKnownLocation.getLatitude(), mLastKnownLocation.getLongitude());\\n\\n } else {\\n Log.d(TAG, \\\"Current location is null. Using defaults.\\\");\\n Log.e(TAG, \\\"Exception: %s\\\", task.getException());\\n mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(mDefaultLocation, DEFAULT_ZOOM));\\n mMap.getUiSettings().setMyLocationButtonEnabled(false);\\n searchLocationMarker = mMap.addMarker(new MarkerOptions()\\n .position(mDefaultLocation)\\n .title(\\\"Current Location\\\")\\n .icon(BitmapDescriptorFactory.fromBitmap(\\n getBitmapFromVectorDrawable(\\n MainActivity.this, R.drawable.ic_current_location_marker))));\\n }\\n }\\n });\\n }\\n } catch(SecurityException e) {\\n Log.e(\\\"Exception: %s\\\", e.getMessage());\\n }\\n\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7027496","0.70127463","0.69614536","0.68853545","0.6871158","0.6867586","0.66958594","0.66261953","0.65846604","0.65846604","0.65846604","0.65846604","0.65215224","0.65211505","0.6516885","0.6474377","0.6432292","0.6408678","0.6399806","0.63953745","0.63654566","0.6363369","0.6342169","0.63358504","0.62949353","0.62718683","0.6271329","0.62448835","0.62428296","0.6220128","0.62052363","0.62012285","0.6190073","0.61884826","0.61809105","0.6144117","0.614293","0.6139505","0.6132192","0.61264104","0.61236554","0.6116207","0.6112108","0.6104279","0.6095514","0.60914725","0.6088413","0.60875046","0.6078166","0.6074729","0.60616064","0.60444295","0.60310775","0.6027707","0.60268617","0.60244644","0.6020007","0.600475","0.59955573","0.59923285","0.59839493","0.5982697","0.59785205","0.5978115","0.5973735","0.596628","0.5965792","0.596323","0.5962398","0.5960205","0.59555346","0.5955366","0.5952963","0.59518194","0.59518","0.59488654","0.5947356","0.59466547","0.5944148","0.5938911","0.5937778","0.59356314","0.59311676","0.5930594","0.59242487","0.5908554","0.5899819","0.58989215","0.5897306","0.5897306","0.5896862","0.5889712","0.5884477","0.5884477","0.5884477","0.58719087","0.5869581","0.58687484","0.58634037","0.5862937","0.5861635"],"string":"[\n \"0.7027496\",\n \"0.70127463\",\n \"0.69614536\",\n \"0.68853545\",\n \"0.6871158\",\n \"0.6867586\",\n \"0.66958594\",\n \"0.66261953\",\n \"0.65846604\",\n \"0.65846604\",\n \"0.65846604\",\n \"0.65846604\",\n \"0.65215224\",\n \"0.65211505\",\n \"0.6516885\",\n \"0.6474377\",\n \"0.6432292\",\n \"0.6408678\",\n \"0.6399806\",\n \"0.63953745\",\n \"0.63654566\",\n \"0.6363369\",\n \"0.6342169\",\n \"0.63358504\",\n \"0.62949353\",\n \"0.62718683\",\n \"0.6271329\",\n \"0.62448835\",\n \"0.62428296\",\n \"0.6220128\",\n \"0.62052363\",\n \"0.62012285\",\n \"0.6190073\",\n \"0.61884826\",\n \"0.61809105\",\n \"0.6144117\",\n \"0.614293\",\n \"0.6139505\",\n \"0.6132192\",\n \"0.61264104\",\n \"0.61236554\",\n \"0.6116207\",\n \"0.6112108\",\n \"0.6104279\",\n \"0.6095514\",\n \"0.60914725\",\n \"0.6088413\",\n \"0.60875046\",\n \"0.6078166\",\n \"0.6074729\",\n \"0.60616064\",\n \"0.60444295\",\n \"0.60310775\",\n \"0.6027707\",\n \"0.60268617\",\n \"0.60244644\",\n \"0.6020007\",\n \"0.600475\",\n \"0.59955573\",\n \"0.59923285\",\n \"0.59839493\",\n \"0.5982697\",\n \"0.59785205\",\n \"0.5978115\",\n \"0.5973735\",\n \"0.596628\",\n \"0.5965792\",\n \"0.596323\",\n \"0.5962398\",\n \"0.5960205\",\n \"0.59555346\",\n \"0.5955366\",\n \"0.5952963\",\n \"0.59518194\",\n \"0.59518\",\n \"0.59488654\",\n \"0.5947356\",\n \"0.59466547\",\n \"0.5944148\",\n \"0.5938911\",\n \"0.5937778\",\n \"0.59356314\",\n \"0.59311676\",\n \"0.5930594\",\n \"0.59242487\",\n \"0.5908554\",\n \"0.5899819\",\n \"0.58989215\",\n \"0.5897306\",\n \"0.5897306\",\n \"0.5896862\",\n \"0.5889712\",\n \"0.5884477\",\n \"0.5884477\",\n \"0.5884477\",\n \"0.58719087\",\n \"0.5869581\",\n \"0.58687484\",\n \"0.58634037\",\n \"0.5862937\",\n \"0.5861635\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":19777,"cells":{"query":{"kind":"string","value":"GET My Current Location"},"document":{"kind":"string","value":"@RequestMapping(value = \"/current_location/{user_id}\", method = RequestMethod.GET)\n public ResponseEntity<CurrentLocation> getAboutMe(@PathVariable String user_id) {\n\n CurrentLocation currentLocation = currentLocationService.findMyCurrentLocation(user_id);\n\n if (currentLocation == null) {\n System.out.println(\"User with id \" + user_id + \" not found\");\n return new ResponseEntity<CurrentLocation>(HttpStatus.NOT_FOUND);\n }\n\n return new ResponseEntity<CurrentLocation>(currentLocation, HttpStatus.OK);\n }"},"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":["public Location getCurrentLocation();","URI getLocation();","Location getLocation();","Location getLocation();","Location getLocation();","Location getLocation();","@SuppressWarnings(\"unused\")\n Location getCurrentLocation();","String location();","String location();","String location();","String location();","String location();","String location();","String location();","String location();","public String getCurrentLocation() {\n return currentLocation;\n }","String getLocation();","String getLocation();","String getLocation();","public URL getLocation() {\n return location;\n }","public static MapLocation myLocation() {\n return RC.getLocation();\n }","public String getLocation(){\r\n return Location;\r\n }","java.lang.String getLocation();","public Location getCurrentLocation()\n\t{\n\t\treturn currentLocation;\n\t}","public java.lang.String getLocation() {\n return location;\n }","public Location getLocation() {\n return getLocation(null);\n }","SiteLocation getLocatedAt();","public String getLocation(){\r\n return location;\r\n }","public java.lang.String getLocation() {\n return location;\n }","public String getLocation() { return location; }","public String getLocation() { return location; }","public String getLocation()\n {\n return location;\n }","@SuppressWarnings(\"WeakerAccess\")\n public Location getCurrentLocation() {\n final LocationClient locationClient = getLocationClient();\n return locationClient == null ? null: locationClient.getCurrentLocation();\n }","public String getLocation() {\n return location;\n }","public String getLocation(){\n return location;\n }","public FrillLoc getLocation() {\n return MyLocation;\n }","public String getLocation() {\r\n return location;\r\n }","public final String getLocation() {\n return location;\n }","public String getLocation() {\r\n\t\treturn location; \r\n\t}","public URI getLocation()\r\n/* 293: */ {\r\n/* 294:441 */ String value = getFirst(\"Location\");\r\n/* 295:442 */ return value != null ? URI.create(value) : null;\r\n/* 296: */ }","private void getUserCurrentLocation()\n\t {\n\t NicerLocationManager locationMgr = new NicerLocationManager(this.getApplicationContext());\n\t if (locationMgr.isAnyLocationServicesAvailble())\n\t {\n\t Log.i(\"MAIN\",\"retrieving current location...\");\n\n\t // get current location\n\t locationMgr.getBestGuessLocation(1000,\n\t new NicerLocationListener() {\n\n\t @Override\n\t public void locationLoaded(final Location location)\n\t {\n\t // parse the current site forecast for users current\n\t // location in the background\n\t //LocationForecastSetup currentForecast = new LocationForecastSetup();\n\t //currentForecast.execute(location);\n\n\t // QLog.i(\"location loaded. finding nearest location...\");\n\t //\n\t // // find nearest weather location\n\t // Site nearestLocation =\n\t // Utils.findNearestSite(mApp, location);\n\t //\n\t // // insert the new current user location site\n\t // SitesProviderHelper.addSavedSite(mApp,\n\t // Long.valueOf(nearestLocation.getmSiteId()), true);\n\t //\n\t Log.i(\"MAIN\",\"location found \"+location.getLatitude()+\" \"+location.getLongitude());\n\t dS.lat=(float) location.getLatitude();\n\t dS.lon=(float) location.getLongitude();\n\t //TextView versionText = (TextView) findViewById(R.id.info_area_string);\n\t //versionText.setText(\"lat \" + location.getLatitude()+\" lon \"+location.getLongitude());\n\t \n\t //\n\t // /*\n\t // * add blank site if user has no saved sites. a blank site\n\t // * forecast is also added in the WeatherService class\n\t // * (runWeatherService method) to display correctly in the\n\t // * view pager.this is later removed when a user adds a\n\t // site\n\t // * and added again when user removes last site.\n\t // */\n\t // SitesProviderHelper.addBlankSavedSite(mApp);\n\t //\n\t // // re-order sites so current location is first\n\t // SitesProviderHelper.setSiteOrder(mApp,\n\t // nearestLocation.getmSiteId(), \"0\");\n\t // SitesProviderHelper.setSiteOrder(mApp,\n\t // Consts.BLANK_SITE_ID, \"1\");\n\n\t }\n\n\t @Override\n\t public void error()\n\t {\n\t // give option to change location settings or select a\n\t // location manually\n\t Log.e(\"MAIN\",\"Error finding best guess location\");\n dS.lat=0;\n dS.lon=0;\n if(once)\n {\n\t //promptSetLocationService(MainActivity.this);\n }\n once=false;\n\t }\n\n\t @Override\n\t public void onFinished()\n\t {\n\t //runUpdateService(false, false);\n\t \tLog.i(\"MAIN\",\"onFinished\");\n\t }\n\t });\n\n\t }\n\t else\n\t {\n\t \n\t \tdS.lat=0;\n dS.lon=0;\n\t \n\t }\n\n\t }","public int getCurrentLocation() {\n\t\treturn currentLocation;\n\t}","public String getLocation() {\r\n return location;\r\n }","public String getLocation() {\n return location;\n }","public String getLocation() {\n return location;\n }","public String getLocation() {\n return location;\n }","public String getLocation() {\n return location;\n }","public String getLocation() {\n return location;\n }","public String getLocation() {\n return location;\n }","public String getLocation() {\n return location;\n }","public String getLocation() {\n return location;\n }","public String getLocation() {\n return location;\n }","public String getLocation() {\n return location;\n }","public String getLocation() {\n return location;\n }","public String getLocation() {\n return location;\n }","@Override\n\tpublic String getLocation() {\n\t\treturn location;\n\t}","public String getLocation() {\r\n\t\treturn location;\r\n\t}","protected String getLocation(){\r\n return this.location;\r\n }","public String getLocation() {\n\t\treturn location;\n\t}","private void getLocation() {\n\t\tif (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {\n\t\t\tif (checkSelfPermission(Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t\t\n\t\tFusedLocationProviderClient locationProviderClient = LocationServices.getFusedLocationProviderClient(getApplicationContext());\n\t\tlocationProviderClient.getLastLocation().addOnSuccessListener(new OnSuccessListener<Location>() {\n\t\t\t@Override\n\t\t\tpublic void onSuccess(Location location) {\n\t\t\t\t\n\t\t\t\tfinal Location finalLocation = location;\n\t\t\t\t\n\t\t\t\tbtnGoToYou.setOnClickListener(new View.OnClickListener() {\n\t\t\t\t\t@Override\n\t\t\t\t\tpublic void onClick(View v) {\n\t\t\t\t\t\tLatLng userLocation = new LatLng(finalLocation.getLatitude(), finalLocation.getLongitude());\n\t\t\t\t\t\tmMap.addMarker(new MarkerOptions().position(userLocation).title(\"You are Here!\"));\n\t\t\t\t\t\tmMap.moveCamera(CameraUpdateFactory.newLatLng(userLocation));\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\t\n\t\t\t\t\n\t\t\t}\n\t\t});\n\t\t\n\t}","private void getlocation() {\n\t\t\t\ttry {\n\n\t\t\t\t\tgps = new GPSTracker(RegisterActivity.this);\n\t\t\t\t\tLog.d(\"LOgggg\", \"inCurrentlocation\");\n\n\t\t\t\t\t// check if GPS enabled\n\t\t\t\t\tif (gps.canGetLocation()) {\n\n\t\t\t\t\t\tlatitude = gps.getLatitude();\n\t\t\t\t\t\tlongitude = gps.getLongitude();\n\n\t\t\t\t\t\tLog.i(\"latitude\", \"\" + latitude);\n\t\t\t\t\t\tLog.i(\"longitude\", \"\" + longitude);\n\n\t\t\t\t\t\tnew getLoc().execute(\"\");\n\n\t\t\t\t\t} else {\n\t\t\t\t\t\tgps.showSettingsAlert();\n\t\t\t\t\t}\n\t\t\t\t} catch (Exception e) {\n\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t}\n\t\t\t}","public void getLocation() {\n\n\t\t// If Google Play Services is available\n\t\tif (servicesConnected()) {\n\t\t\t// Get the current location\n\t\t\tLocation currentLocation = mLocationClient.getLastLocation();\n\n\t\t\t// Display the current location in the UI\n\t\t\tmLatLng.setText(LocationUtils.getLatLng(this, currentLocation));\n\n\t\t\tlatCurrent=(float) currentLocation.getLatitude();\n\t\t\tlntCurrent=(float) currentLocation.getLongitude();\n\n\t\t}\n\t}","@Override\n\tpublic String getLocation() {\n\t\treturn this.location;\n\t}","public String getLocation() {\n\t\t\treturn location;\n\t\t}","@SuppressLint({\"MissingPermission\", \"DefaultLocale\"})\n private void requestCurrentLocation() {\n mFusedLocationClient\n .getCurrentLocation(PRIORITY_HIGH_ACCURACY, cancellationTokenSource.getToken())\n .addOnCompleteListener(this, task -> {\n if (task.isSuccessful() && task.getResult() != null) {\n Location result = task.getResult();\n Log.d(TAG, String.format(\"getCurrentLocation() result: %s\", result.toString()));\n logOutputToScreen(String.format(\n \"Location (success): %f, %f\",\n result.getLatitude(), result.getLongitude()\n ));\n } else {\n Log.e(TAG, String.format(\"Location (failure): %s\", task.getException()));\n }\n });\n }","private void getMyLocation() {\n LatLng latLng = new LatLng(latitude, longitude);\n CameraUpdate cameraUpdate = CameraUpdateFactory.newLatLngZoom(latLng, 18);\n googleMap.animateCamera(cameraUpdate);\n }","public native final String location() /*-{\n\t\treturn this[\"location\"];\n\t}-*/;","Location getUserLocation()\n {\n\n return userLocation;\n }","public String getLocation() {\n return location;\n }","public String getLocation(){\n return this.location;\n }","public Location getLocation() \n\t{\n\t\treturn location;\n\t}","public Location getLocation() {\n return loc;\n }","public Location getLocation() {\n return loc;\n }","public abstract String getLocation();","private void getCurrentLocation() {\n try {\n if (locationPermissionGranted) {\n Task<Location> locationResult = fusedLocationClient.getLastLocation();\n locationResult.addOnCompleteListener(this, new OnCompleteListener<Location>() {\n @Override\n public void onComplete(@NonNull Task<Location> task) {\n if (task.isSuccessful()) {\n // Set the map's camera position to the current location of the device.\n lastKnownLocation = task.getResult();\n if (lastKnownLocation != null) {\n map.moveCamera(CameraUpdateFactory.newLatLngZoom(\n new LatLng(lastKnownLocation.getLatitude(),\n lastKnownLocation.getLongitude()), DEFAULT_ZOOM));\n updateCameraBearing(map, location.getBearing());\n }\n }\n }\n });\n }\n } catch (SecurityException e) {\n Log.e(\"Exception: %s\", e.getMessage(), e);\n }\n }","public void getLocation() {\n\t\tLocationResult locationResult = new LocationResult() {\n\t\t\t@Override\n\t\t\tpublic void gotLocation(Location location) {\n\t\t\t\tLog.d(TAG, \"Got location!\");\n\t\t\t\tmyLocation = location;\n\t\t\t}\n\t\t};\n\t\tMyLocation myLocation = new MyLocation();\n\t\tmyLocation.getLocation(this, locationResult);\n\t}","public String getLocation() {\n\t\tString longitude = request.getParameter(\"longitude\");\n\t\tString latitude = request.getParameter(\"latitude\");\n\t\trequest.getSession().setAttribute(\"longitude\", longitude);\n\t\trequest.getSession().setAttribute(\"latitude\", latitude);\n\t\t// 调用登录方法\n\t\tloginCommons.thirdType = \"W\";\n\t\texecute();\n\t\tJSONObject mem = HttpRequestUtils.httpGetx(\"http://1829840kl0.iask.in/cardcolv4/smemberwx!loadMex.asp\");\n\t\trequest.setAttribute(\"member\", mem);\n\t\treturn \"loadMe\";\n\t}","public String getLocation() {\n return this.location;\n }","public String getLocation() {\n return this.location;\n }","public String getLocation() {\n return this.location;\n }","public String getLocation() {\n return this.location;\n }","public String getLocation() {\n return this.location;\n }","public String getLocation() {\n\t\treturn mLocation;\n\t}","@Override\n public String getLocation() {\n return location;\n }","public Location location()\n {\n return myLoc;\n }","public Location getLocation() {\n\t\treturn loc;\n\t}","public URL getServerLocation() {\n return serverLocation;\n }","public String getLocation() {\n return mLocation;\n }","public String getLocation() {\n return this.location;\n }","@SuppressWarnings({\"MissingPermission\"})\n void getMyLocation() {\n mGoogleMap.setMyLocationEnabled(true);\n FusedLocationProviderClient locationClient = getFusedLocationProviderClient(getContext());\n locationClient.getLastLocation()\n .addOnSuccessListener(new OnSuccessListener<Location>() {\n @Override\n public void onSuccess(Location location) {\n if (location != null) {\n onLocationChanged(location);\n moveCamera();\n drawCircle();\n drawMarkers();\n }\n }\n })\n .addOnFailureListener(new OnFailureListener() {\n @Override\n public void onFailure(@NonNull Exception e) {\n Log.d(\"MapDemoActivity\", \"Error trying to get last GPS location\");\n e.printStackTrace();\n }\n });\n }","public Location getCurrentLocation() { return entity.getLocation(); }","protected Location getLocation()\n {\n return location;\n }","protected Location getLocation()\n {\n return location;\n }","public Location getLocation(){\n return location;\n }","public int getLocation()\r\n {\n }","private void obtainCurrentLocation(boolean add_current_location_on) {\n\t\tif (add_current_location_on) {\n\t\t\t// If Google Play Services is available\n\t\t\tif (servicesConnected()) {\n\t\t\t\t// mProgressBar_location.setVisibility(View.VISIBLE);\n\t\t\t\t// Get the current location\n\t\t\t\tLocation currentLocation = mLocationClient.getLastLocation();\n\t\t\t\tlink_to_global_report.setReporter_geopoint(new LatLng(currentLocation.getLatitude(), currentLocation.getLongitude()));\n\t\t\t\t// mProgressBar_location.setVisibility(View.GONE);\n\t\t\t\tLog.e(DEBUG, \"current_location_add:\" + currentLocation);\n\t\t\t}\n\n\t\t} else {\n\t\t\tToast.makeText(this, DEBUG + \"off ... supposed to delete loc!\", Toast.LENGTH_SHORT).show();\n\t\t\t// mProgressBar_location.setVisibility(View.GONE);\n\t\t}\n\t}","private LatLng getCurrentLocation() {\n if (ActivityCompat.checkSelfPermission(this,\n Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED &&\n ActivityCompat.checkSelfPermission(this,\n Manifest.permission.ACCESS_COARSE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\n\n return new LatLng(0, 0);\n }\n LocationManager locationManager = (LocationManager) getSystemService(this.LOCATION_SERVICE);\n Location current_location = locationManager.getLastKnownLocation(LocationManager.GPS_PROVIDER);\n if (current_location == null) {\n return new LatLng(0, 0);\n }\n return new LatLng(current_location.getLatitude(), current_location.getLongitude());\n }","public Location getLocation() {\n\t\treturn location;\n\t}","com.google.ads.googleads.v14.common.LocationInfo getLocation();","public Location getLocation() {\r\n\t\treturn location;\r\n\t}","public Location getLocation() {\r\n\t\treturn location;\r\n\t}"],"string":"[\n \"public Location getCurrentLocation();\",\n \"URI getLocation();\",\n \"Location getLocation();\",\n \"Location getLocation();\",\n \"Location getLocation();\",\n \"Location getLocation();\",\n \"@SuppressWarnings(\\\"unused\\\")\\n Location getCurrentLocation();\",\n \"String location();\",\n \"String location();\",\n \"String location();\",\n \"String location();\",\n \"String location();\",\n \"String location();\",\n \"String location();\",\n \"String location();\",\n \"public String getCurrentLocation() {\\n return currentLocation;\\n }\",\n \"String getLocation();\",\n \"String getLocation();\",\n \"String getLocation();\",\n \"public URL getLocation() {\\n return location;\\n }\",\n \"public static MapLocation myLocation() {\\n return RC.getLocation();\\n }\",\n \"public String getLocation(){\\r\\n return Location;\\r\\n }\",\n \"java.lang.String getLocation();\",\n \"public Location getCurrentLocation()\\n\\t{\\n\\t\\treturn currentLocation;\\n\\t}\",\n \"public java.lang.String getLocation() {\\n return location;\\n }\",\n \"public Location getLocation() {\\n return getLocation(null);\\n }\",\n \"SiteLocation getLocatedAt();\",\n \"public String getLocation(){\\r\\n return location;\\r\\n }\",\n \"public java.lang.String getLocation() {\\n return location;\\n }\",\n \"public String getLocation() { return location; }\",\n \"public String getLocation() { return location; }\",\n \"public String getLocation()\\n {\\n return location;\\n }\",\n \"@SuppressWarnings(\\\"WeakerAccess\\\")\\n public Location getCurrentLocation() {\\n final LocationClient locationClient = getLocationClient();\\n return locationClient == null ? null: locationClient.getCurrentLocation();\\n }\",\n \"public String getLocation() {\\n return location;\\n }\",\n \"public String getLocation(){\\n return location;\\n }\",\n \"public FrillLoc getLocation() {\\n return MyLocation;\\n }\",\n \"public String getLocation() {\\r\\n return location;\\r\\n }\",\n \"public final String getLocation() {\\n return location;\\n }\",\n \"public String getLocation() {\\r\\n\\t\\treturn location; \\r\\n\\t}\",\n \"public URI getLocation()\\r\\n/* 293: */ {\\r\\n/* 294:441 */ String value = getFirst(\\\"Location\\\");\\r\\n/* 295:442 */ return value != null ? URI.create(value) : null;\\r\\n/* 296: */ }\",\n \"private void getUserCurrentLocation()\\n\\t {\\n\\t NicerLocationManager locationMgr = new NicerLocationManager(this.getApplicationContext());\\n\\t if (locationMgr.isAnyLocationServicesAvailble())\\n\\t {\\n\\t Log.i(\\\"MAIN\\\",\\\"retrieving current location...\\\");\\n\\n\\t // get current location\\n\\t locationMgr.getBestGuessLocation(1000,\\n\\t new NicerLocationListener() {\\n\\n\\t @Override\\n\\t public void locationLoaded(final Location location)\\n\\t {\\n\\t // parse the current site forecast for users current\\n\\t // location in the background\\n\\t //LocationForecastSetup currentForecast = new LocationForecastSetup();\\n\\t //currentForecast.execute(location);\\n\\n\\t // QLog.i(\\\"location loaded. finding nearest location...\\\");\\n\\t //\\n\\t // // find nearest weather location\\n\\t // Site nearestLocation =\\n\\t // Utils.findNearestSite(mApp, location);\\n\\t //\\n\\t // // insert the new current user location site\\n\\t // SitesProviderHelper.addSavedSite(mApp,\\n\\t // Long.valueOf(nearestLocation.getmSiteId()), true);\\n\\t //\\n\\t Log.i(\\\"MAIN\\\",\\\"location found \\\"+location.getLatitude()+\\\" \\\"+location.getLongitude());\\n\\t dS.lat=(float) location.getLatitude();\\n\\t dS.lon=(float) location.getLongitude();\\n\\t //TextView versionText = (TextView) findViewById(R.id.info_area_string);\\n\\t //versionText.setText(\\\"lat \\\" + location.getLatitude()+\\\" lon \\\"+location.getLongitude());\\n\\t \\n\\t //\\n\\t // /*\\n\\t // * add blank site if user has no saved sites. a blank site\\n\\t // * forecast is also added in the WeatherService class\\n\\t // * (runWeatherService method) to display correctly in the\\n\\t // * view pager.this is later removed when a user adds a\\n\\t // site\\n\\t // * and added again when user removes last site.\\n\\t // */\\n\\t // SitesProviderHelper.addBlankSavedSite(mApp);\\n\\t //\\n\\t // // re-order sites so current location is first\\n\\t // SitesProviderHelper.setSiteOrder(mApp,\\n\\t // nearestLocation.getmSiteId(), \\\"0\\\");\\n\\t // SitesProviderHelper.setSiteOrder(mApp,\\n\\t // Consts.BLANK_SITE_ID, \\\"1\\\");\\n\\n\\t }\\n\\n\\t @Override\\n\\t public void error()\\n\\t {\\n\\t // give option to change location settings or select a\\n\\t // location manually\\n\\t Log.e(\\\"MAIN\\\",\\\"Error finding best guess location\\\");\\n dS.lat=0;\\n dS.lon=0;\\n if(once)\\n {\\n\\t //promptSetLocationService(MainActivity.this);\\n }\\n once=false;\\n\\t }\\n\\n\\t @Override\\n\\t public void onFinished()\\n\\t {\\n\\t //runUpdateService(false, false);\\n\\t \\tLog.i(\\\"MAIN\\\",\\\"onFinished\\\");\\n\\t }\\n\\t });\\n\\n\\t }\\n\\t else\\n\\t {\\n\\t \\n\\t \\tdS.lat=0;\\n dS.lon=0;\\n\\t \\n\\t }\\n\\n\\t }\",\n \"public int getCurrentLocation() {\\n\\t\\treturn currentLocation;\\n\\t}\",\n \"public String getLocation() {\\r\\n return location;\\r\\n }\",\n \"public String getLocation() {\\n return location;\\n }\",\n \"public String getLocation() {\\n return location;\\n }\",\n \"public String getLocation() {\\n return location;\\n }\",\n \"public String getLocation() {\\n return location;\\n }\",\n \"public String getLocation() {\\n return location;\\n }\",\n \"public String getLocation() {\\n return location;\\n }\",\n \"public String getLocation() {\\n return location;\\n }\",\n \"public String getLocation() {\\n return location;\\n }\",\n \"public String getLocation() {\\n return location;\\n }\",\n \"public String getLocation() {\\n return location;\\n }\",\n \"public String getLocation() {\\n return location;\\n }\",\n \"public String getLocation() {\\n return location;\\n }\",\n \"@Override\\n\\tpublic String getLocation() {\\n\\t\\treturn location;\\n\\t}\",\n \"public String getLocation() {\\r\\n\\t\\treturn location;\\r\\n\\t}\",\n \"protected String getLocation(){\\r\\n return this.location;\\r\\n }\",\n \"public String getLocation() {\\n\\t\\treturn location;\\n\\t}\",\n \"private void getLocation() {\\n\\t\\tif (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {\\n\\t\\t\\tif (checkSelfPermission(Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\tFusedLocationProviderClient locationProviderClient = LocationServices.getFusedLocationProviderClient(getApplicationContext());\\n\\t\\tlocationProviderClient.getLastLocation().addOnSuccessListener(new OnSuccessListener<Location>() {\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void onSuccess(Location location) {\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tfinal Location finalLocation = location;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tbtnGoToYou.setOnClickListener(new View.OnClickListener() {\\n\\t\\t\\t\\t\\t@Override\\n\\t\\t\\t\\t\\tpublic void onClick(View v) {\\n\\t\\t\\t\\t\\t\\tLatLng userLocation = new LatLng(finalLocation.getLatitude(), finalLocation.getLongitude());\\n\\t\\t\\t\\t\\t\\tmMap.addMarker(new MarkerOptions().position(userLocation).title(\\\"You are Here!\\\"));\\n\\t\\t\\t\\t\\t\\tmMap.moveCamera(CameraUpdateFactory.newLatLng(userLocation));\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t});\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t});\\n\\t\\t\\n\\t}\",\n \"private void getlocation() {\\n\\t\\t\\t\\ttry {\\n\\n\\t\\t\\t\\t\\tgps = new GPSTracker(RegisterActivity.this);\\n\\t\\t\\t\\t\\tLog.d(\\\"LOgggg\\\", \\\"inCurrentlocation\\\");\\n\\n\\t\\t\\t\\t\\t// check if GPS enabled\\n\\t\\t\\t\\t\\tif (gps.canGetLocation()) {\\n\\n\\t\\t\\t\\t\\t\\tlatitude = gps.getLatitude();\\n\\t\\t\\t\\t\\t\\tlongitude = gps.getLongitude();\\n\\n\\t\\t\\t\\t\\t\\tLog.i(\\\"latitude\\\", \\\"\\\" + latitude);\\n\\t\\t\\t\\t\\t\\tLog.i(\\\"longitude\\\", \\\"\\\" + longitude);\\n\\n\\t\\t\\t\\t\\t\\tnew getLoc().execute(\\\"\\\");\\n\\n\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\tgps.showSettingsAlert();\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t} catch (Exception e) {\\n\\t\\t\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\",\n \"public void getLocation() {\\n\\n\\t\\t// If Google Play Services is available\\n\\t\\tif (servicesConnected()) {\\n\\t\\t\\t// Get the current location\\n\\t\\t\\tLocation currentLocation = mLocationClient.getLastLocation();\\n\\n\\t\\t\\t// Display the current location in the UI\\n\\t\\t\\tmLatLng.setText(LocationUtils.getLatLng(this, currentLocation));\\n\\n\\t\\t\\tlatCurrent=(float) currentLocation.getLatitude();\\n\\t\\t\\tlntCurrent=(float) currentLocation.getLongitude();\\n\\n\\t\\t}\\n\\t}\",\n \"@Override\\n\\tpublic String getLocation() {\\n\\t\\treturn this.location;\\n\\t}\",\n \"public String getLocation() {\\n\\t\\t\\treturn location;\\n\\t\\t}\",\n \"@SuppressLint({\\\"MissingPermission\\\", \\\"DefaultLocale\\\"})\\n private void requestCurrentLocation() {\\n mFusedLocationClient\\n .getCurrentLocation(PRIORITY_HIGH_ACCURACY, cancellationTokenSource.getToken())\\n .addOnCompleteListener(this, task -> {\\n if (task.isSuccessful() && task.getResult() != null) {\\n Location result = task.getResult();\\n Log.d(TAG, String.format(\\\"getCurrentLocation() result: %s\\\", result.toString()));\\n logOutputToScreen(String.format(\\n \\\"Location (success): %f, %f\\\",\\n result.getLatitude(), result.getLongitude()\\n ));\\n } else {\\n Log.e(TAG, String.format(\\\"Location (failure): %s\\\", task.getException()));\\n }\\n });\\n }\",\n \"private void getMyLocation() {\\n LatLng latLng = new LatLng(latitude, longitude);\\n CameraUpdate cameraUpdate = CameraUpdateFactory.newLatLngZoom(latLng, 18);\\n googleMap.animateCamera(cameraUpdate);\\n }\",\n \"public native final String location() /*-{\\n\\t\\treturn this[\\\"location\\\"];\\n\\t}-*/;\",\n \"Location getUserLocation()\\n {\\n\\n return userLocation;\\n }\",\n \"public String getLocation() {\\n return location;\\n }\",\n \"public String getLocation(){\\n return this.location;\\n }\",\n \"public Location getLocation() \\n\\t{\\n\\t\\treturn location;\\n\\t}\",\n \"public Location getLocation() {\\n return loc;\\n }\",\n \"public Location getLocation() {\\n return loc;\\n }\",\n \"public abstract String getLocation();\",\n \"private void getCurrentLocation() {\\n try {\\n if (locationPermissionGranted) {\\n Task<Location> locationResult = fusedLocationClient.getLastLocation();\\n locationResult.addOnCompleteListener(this, new OnCompleteListener<Location>() {\\n @Override\\n public void onComplete(@NonNull Task<Location> task) {\\n if (task.isSuccessful()) {\\n // Set the map's camera position to the current location of the device.\\n lastKnownLocation = task.getResult();\\n if (lastKnownLocation != null) {\\n map.moveCamera(CameraUpdateFactory.newLatLngZoom(\\n new LatLng(lastKnownLocation.getLatitude(),\\n lastKnownLocation.getLongitude()), DEFAULT_ZOOM));\\n updateCameraBearing(map, location.getBearing());\\n }\\n }\\n }\\n });\\n }\\n } catch (SecurityException e) {\\n Log.e(\\\"Exception: %s\\\", e.getMessage(), e);\\n }\\n }\",\n \"public void getLocation() {\\n\\t\\tLocationResult locationResult = new LocationResult() {\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void gotLocation(Location location) {\\n\\t\\t\\t\\tLog.d(TAG, \\\"Got location!\\\");\\n\\t\\t\\t\\tmyLocation = location;\\n\\t\\t\\t}\\n\\t\\t};\\n\\t\\tMyLocation myLocation = new MyLocation();\\n\\t\\tmyLocation.getLocation(this, locationResult);\\n\\t}\",\n \"public String getLocation() {\\n\\t\\tString longitude = request.getParameter(\\\"longitude\\\");\\n\\t\\tString latitude = request.getParameter(\\\"latitude\\\");\\n\\t\\trequest.getSession().setAttribute(\\\"longitude\\\", longitude);\\n\\t\\trequest.getSession().setAttribute(\\\"latitude\\\", latitude);\\n\\t\\t// 调用登录方法\\n\\t\\tloginCommons.thirdType = \\\"W\\\";\\n\\t\\texecute();\\n\\t\\tJSONObject mem = HttpRequestUtils.httpGetx(\\\"http://1829840kl0.iask.in/cardcolv4/smemberwx!loadMex.asp\\\");\\n\\t\\trequest.setAttribute(\\\"member\\\", mem);\\n\\t\\treturn \\\"loadMe\\\";\\n\\t}\",\n \"public String getLocation() {\\n return this.location;\\n }\",\n \"public String getLocation() {\\n return this.location;\\n }\",\n \"public String getLocation() {\\n return this.location;\\n }\",\n \"public String getLocation() {\\n return this.location;\\n }\",\n \"public String getLocation() {\\n return this.location;\\n }\",\n \"public String getLocation() {\\n\\t\\treturn mLocation;\\n\\t}\",\n \"@Override\\n public String getLocation() {\\n return location;\\n }\",\n \"public Location location()\\n {\\n return myLoc;\\n }\",\n \"public Location getLocation() {\\n\\t\\treturn loc;\\n\\t}\",\n \"public URL getServerLocation() {\\n return serverLocation;\\n }\",\n \"public String getLocation() {\\n return mLocation;\\n }\",\n \"public String getLocation() {\\n return this.location;\\n }\",\n \"@SuppressWarnings({\\\"MissingPermission\\\"})\\n void getMyLocation() {\\n mGoogleMap.setMyLocationEnabled(true);\\n FusedLocationProviderClient locationClient = getFusedLocationProviderClient(getContext());\\n locationClient.getLastLocation()\\n .addOnSuccessListener(new OnSuccessListener<Location>() {\\n @Override\\n public void onSuccess(Location location) {\\n if (location != null) {\\n onLocationChanged(location);\\n moveCamera();\\n drawCircle();\\n drawMarkers();\\n }\\n }\\n })\\n .addOnFailureListener(new OnFailureListener() {\\n @Override\\n public void onFailure(@NonNull Exception e) {\\n Log.d(\\\"MapDemoActivity\\\", \\\"Error trying to get last GPS location\\\");\\n e.printStackTrace();\\n }\\n });\\n }\",\n \"public Location getCurrentLocation() { return entity.getLocation(); }\",\n \"protected Location getLocation()\\n {\\n return location;\\n }\",\n \"protected Location getLocation()\\n {\\n return location;\\n }\",\n \"public Location getLocation(){\\n return location;\\n }\",\n \"public int getLocation()\\r\\n {\\n }\",\n \"private void obtainCurrentLocation(boolean add_current_location_on) {\\n\\t\\tif (add_current_location_on) {\\n\\t\\t\\t// If Google Play Services is available\\n\\t\\t\\tif (servicesConnected()) {\\n\\t\\t\\t\\t// mProgressBar_location.setVisibility(View.VISIBLE);\\n\\t\\t\\t\\t// Get the current location\\n\\t\\t\\t\\tLocation currentLocation = mLocationClient.getLastLocation();\\n\\t\\t\\t\\tlink_to_global_report.setReporter_geopoint(new LatLng(currentLocation.getLatitude(), currentLocation.getLongitude()));\\n\\t\\t\\t\\t// mProgressBar_location.setVisibility(View.GONE);\\n\\t\\t\\t\\tLog.e(DEBUG, \\\"current_location_add:\\\" + currentLocation);\\n\\t\\t\\t}\\n\\n\\t\\t} else {\\n\\t\\t\\tToast.makeText(this, DEBUG + \\\"off ... supposed to delete loc!\\\", Toast.LENGTH_SHORT).show();\\n\\t\\t\\t// mProgressBar_location.setVisibility(View.GONE);\\n\\t\\t}\\n\\t}\",\n \"private LatLng getCurrentLocation() {\\n if (ActivityCompat.checkSelfPermission(this,\\n Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED &&\\n ActivityCompat.checkSelfPermission(this,\\n Manifest.permission.ACCESS_COARSE_LOCATION) != PackageManager.PERMISSION_GRANTED) {\\n\\n return new LatLng(0, 0);\\n }\\n LocationManager locationManager = (LocationManager) getSystemService(this.LOCATION_SERVICE);\\n Location current_location = locationManager.getLastKnownLocation(LocationManager.GPS_PROVIDER);\\n if (current_location == null) {\\n return new LatLng(0, 0);\\n }\\n return new LatLng(current_location.getLatitude(), current_location.getLongitude());\\n }\",\n \"public Location getLocation() {\\n\\t\\treturn location;\\n\\t}\",\n \"com.google.ads.googleads.v14.common.LocationInfo getLocation();\",\n \"public Location getLocation() {\\r\\n\\t\\treturn location;\\r\\n\\t}\",\n \"public Location getLocation() {\\r\\n\\t\\treturn location;\\r\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7912868","0.77893895","0.77008957","0.77008957","0.77008957","0.77008957","0.75745404","0.7512766","0.7512766","0.7512766","0.7512766","0.7512766","0.7512766","0.7512766","0.7512766","0.7507328","0.74938804","0.74938804","0.74938804","0.7357591","0.7270066","0.7198036","0.7192349","0.71807575","0.71292114","0.7121562","0.7107164","0.708982","0.7083333","0.7081501","0.7081501","0.70559025","0.7034705","0.70333374","0.7020584","0.7015149","0.7012834","0.701168","0.7010954","0.7005316","0.70022213","0.6985183","0.69622695","0.6936466","0.6936466","0.6936466","0.6936466","0.6936466","0.6936466","0.6936466","0.6936466","0.6936466","0.6936466","0.6936466","0.6936466","0.69311845","0.6922838","0.6918896","0.6918824","0.6910487","0.6908006","0.68961513","0.68943876","0.68638504","0.6851488","0.6851449","0.6846577","0.6836361","0.683599","0.6827118","0.6818542","0.68149483","0.68149483","0.6800336","0.6784958","0.67830175","0.6779891","0.677857","0.677857","0.677857","0.677857","0.677857","0.6776103","0.67598945","0.67583114","0.6755707","0.67496556","0.67299116","0.6729824","0.6724125","0.672272","0.6719953","0.6719953","0.67101616","0.66883457","0.66882145","0.6669416","0.66519547","0.66471803","0.66465694","0.66465694"],"string":"[\n \"0.7912868\",\n \"0.77893895\",\n \"0.77008957\",\n \"0.77008957\",\n \"0.77008957\",\n \"0.77008957\",\n \"0.75745404\",\n \"0.7512766\",\n \"0.7512766\",\n \"0.7512766\",\n \"0.7512766\",\n \"0.7512766\",\n \"0.7512766\",\n \"0.7512766\",\n \"0.7512766\",\n \"0.7507328\",\n \"0.74938804\",\n \"0.74938804\",\n \"0.74938804\",\n \"0.7357591\",\n \"0.7270066\",\n \"0.7198036\",\n \"0.7192349\",\n \"0.71807575\",\n \"0.71292114\",\n \"0.7121562\",\n \"0.7107164\",\n \"0.708982\",\n \"0.7083333\",\n \"0.7081501\",\n \"0.7081501\",\n \"0.70559025\",\n \"0.7034705\",\n \"0.70333374\",\n \"0.7020584\",\n \"0.7015149\",\n \"0.7012834\",\n \"0.701168\",\n \"0.7010954\",\n \"0.7005316\",\n \"0.70022213\",\n \"0.6985183\",\n \"0.69622695\",\n \"0.6936466\",\n \"0.6936466\",\n \"0.6936466\",\n \"0.6936466\",\n \"0.6936466\",\n \"0.6936466\",\n \"0.6936466\",\n \"0.6936466\",\n \"0.6936466\",\n \"0.6936466\",\n \"0.6936466\",\n \"0.6936466\",\n \"0.69311845\",\n \"0.6922838\",\n \"0.6918896\",\n \"0.6918824\",\n \"0.6910487\",\n \"0.6908006\",\n \"0.68961513\",\n \"0.68943876\",\n \"0.68638504\",\n \"0.6851488\",\n \"0.6851449\",\n \"0.6846577\",\n \"0.6836361\",\n \"0.683599\",\n \"0.6827118\",\n \"0.6818542\",\n \"0.68149483\",\n \"0.68149483\",\n \"0.6800336\",\n \"0.6784958\",\n \"0.67830175\",\n \"0.6779891\",\n \"0.677857\",\n \"0.677857\",\n \"0.677857\",\n \"0.677857\",\n \"0.677857\",\n \"0.6776103\",\n \"0.67598945\",\n \"0.67583114\",\n \"0.6755707\",\n \"0.67496556\",\n \"0.67299116\",\n \"0.6729824\",\n \"0.6724125\",\n \"0.672272\",\n \"0.6719953\",\n \"0.6719953\",\n \"0.67101616\",\n \"0.66883457\",\n \"0.66882145\",\n \"0.6669416\",\n \"0.66519547\",\n \"0.66471803\",\n \"0.66465694\",\n \"0.66465694\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":19778,"cells":{"query":{"kind":"string","value":"Created by TW on 2017/7/14."},"document":{"kind":"string","value":"public interface GoodsDao {\n\n @Select(\"SELECT g.id, g.NAME, g.caption, g.image, g.price FROM xx_goods g LEFT JOIN \" +\n \" xx_product_category p on g.product_category = p.id LEFT JOIN xx_goods_tag t on g.id=t.goods \" +\n \" where p.tree_path LIKE ',${categoryId},%' AND t.tags = #{tagId} and g.is_marketable=1 order by g.id LIMIT #{limit}\")\n List<Goods> findHotGoods(@Param(value = \"categoryId\") Integer categoryId,\n @Param(value = \"tagId\")Integer tagId, @Param(value = \"limit\")Integer limit);\n}"},"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 perish() {\n \n }","private stendhal() {\n\t}","@Override\n\tpublic void grabar() {\n\t\t\n\t}","@Override\n\tpublic void comer() {\n\t\t\n\t}","@Override\r\n\tpublic void tires() {\n\t\t\r\n\t}","@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}","@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}","@Override\n\tprotected void getExras() {\n\n\t}","@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}","@Override\n public void init() {\n\n }","@Override\n protected void initialize() {\n\n \n }","@Override\n\tpublic void entrenar() {\n\t\t\n\t}","public final void mo51373a() {\n }","@Override\n void init() {\n }","@Override\n protected void initialize() \n {\n \n }","@Override\n\tpublic void anular() {\n\n\t}","@Override\n protected void initialize() {\n }","@Override\n protected void initialize() {\n }","@Override\n protected void initialize() {\n }","@Override\n protected void initialize() {\n }","@Override\n protected void initialize() {\n }","@Override\n protected void initialize() {\n }","@Override\n public void init() {\n }","@Override\n\tprotected void interr() {\n\t}","@Override\r\n\tpublic void dormir() {\n\t\t\r\n\t}","private void poetries() {\n\n\t}","private static void cajas() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n protected void getExras() {\n }","@Override\r\n\t\tpublic void init() {\n\t\t\t\r\n\t\t}","@Override\n\tpublic void gravarBd() {\n\t\t\n\t}","@Override\n public void func_104112_b() {\n \n }","@Override\r\n\tpublic void rozmnozovat() {\n\t}","@Override\n\tpublic void sacrifier() {\n\t\t\n\t}","@Override\r\n\t\t\tpublic void ayuda() {\n\r\n\t\t\t}","@Override\n public void init() {}","public void mo38117a() {\n }","@Override\n\tpublic void nadar() {\n\t\t\n\t}","@Override\n public void memoria() {\n \n }","@Override\n public void init() {\n\n }","@Override\n public void init() {\n\n }","private void init() {\n\n\t}","@Override\n public int describeContents() { return 0; }","@Override\n public void inizializza() {\n\n super.inizializza();\n }","@Override\n\tprotected void initialize() {\n\t\t\n\t}","@Override\n\tprotected void initialize() {\n\t\t\n\t}","@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}","@Override\n\tpublic void init() {\n\n\t}","@Override\n\tpublic void init() {\n\n\t}","@Override\n\tpublic void init() {\n\n\t}","@Override\n protected void init() {\n }","@Override\r\n\tpublic void init() {}","@Override\r\n\tpublic void dibujar() {\n\t\t\r\n\t}","@Override\r\n\tpublic void dibujar() {\n\t\t\r\n\t}","public void mo4359a() {\n }","@Override\r\n\tpublic void init() {\n\r\n\t}","@Override\r\n\tpublic void init() {\n\r\n\t}","@Override\r\n\tpublic void init() {\n\r\n\t}","@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","@Override\n\tprotected void initialize() {\n\n\t}","@Override\n public void initialize() { \n }","private Rekenhulp()\n\t{\n\t}","@Override\r\n\tprotected void initialize() {\r\n\t\t\r\n\t\t\r\n\t}","@Override\n\tpublic void jugar() {\n\t\t\n\t}","@Override\n\tpublic void nghe() {\n\n\t}","@Override\r\n\tpublic void anularFact() {\n\t\t\r\n\t}","@Override\n\tpublic void init()\n\t{\n\n\t}","public void gored() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t}","private TMCourse() {\n\t}","@Override\n public void initialize() {\n \n }","@Override\r\n\tpublic void init()\r\n\t{\n\t}","@Override\n\tpublic void one() {\n\t\t\n\t}","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","Petunia() {\r\n\t\t}","@Override\n public void initialize() {}","@Override\n public void initialize() {}","@Override\n public void initialize() {}","@Override\r\n\tprotected void initialize() {\n\r\n\t}","@Override\n\tpublic void einkaufen() {\n\t}","@Override\n\tpublic void afterInit() {\n\t\t\n\t}","@Override\n\tpublic void afterInit() {\n\t\t\n\t}","Constructor() {\r\n\t\t \r\n\t }","private void m50366E() {\n }","@Override\n public int getSize() {\n return 1;\n }","protected MetadataUGWD() {/* intentionally empty block */}","@Override\n\tprotected void initialize() {\n\t}","@Override\n\tprotected void initialize() {\n\t}","@Override\n public void settings() {\n // TODO Auto-generated method stub\n \n }"],"string":"[\n \"@Override\\n public void perish() {\\n \\n }\",\n \"private stendhal() {\\n\\t}\",\n \"@Override\\n\\tpublic void grabar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void comer() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void tires() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void bicar() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void bicar() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tprotected void getExras() {\\n\\n\\t}\",\n \"@Override\\r\\n\\tpublic void comer() \\r\\n\\t{\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n public void init() {\\n\\n }\",\n \"@Override\\n protected void initialize() {\\n\\n \\n }\",\n \"@Override\\n\\tpublic void entrenar() {\\n\\t\\t\\n\\t}\",\n \"public final void mo51373a() {\\n }\",\n \"@Override\\n void init() {\\n }\",\n \"@Override\\n protected void initialize() \\n {\\n \\n }\",\n \"@Override\\n\\tpublic void anular() {\\n\\n\\t}\",\n \"@Override\\n protected void initialize() {\\n }\",\n \"@Override\\n protected void initialize() {\\n }\",\n \"@Override\\n protected void initialize() {\\n }\",\n \"@Override\\n protected void initialize() {\\n }\",\n \"@Override\\n protected void initialize() {\\n }\",\n \"@Override\\n protected void initialize() {\\n }\",\n \"@Override\\n public void init() {\\n }\",\n \"@Override\\n\\tprotected void interr() {\\n\\t}\",\n \"@Override\\r\\n\\tpublic void dormir() {\\n\\t\\t\\r\\n\\t}\",\n \"private void poetries() {\\n\\n\\t}\",\n \"private static void cajas() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n protected void getExras() {\\n }\",\n \"@Override\\r\\n\\t\\tpublic void init() {\\n\\t\\t\\t\\r\\n\\t\\t}\",\n \"@Override\\n\\tpublic void gravarBd() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n public void func_104112_b() {\\n \\n }\",\n \"@Override\\r\\n\\tpublic void rozmnozovat() {\\n\\t}\",\n \"@Override\\n\\tpublic void sacrifier() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\t\\t\\tpublic void ayuda() {\\n\\r\\n\\t\\t\\t}\",\n \"@Override\\n public void init() {}\",\n \"public void mo38117a() {\\n }\",\n \"@Override\\n\\tpublic void nadar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n public void memoria() {\\n \\n }\",\n \"@Override\\n public void init() {\\n\\n }\",\n \"@Override\\n public void init() {\\n\\n }\",\n \"private void init() {\\n\\n\\t}\",\n \"@Override\\n public int describeContents() { return 0; }\",\n \"@Override\\n public void inizializza() {\\n\\n super.inizializza();\\n }\",\n \"@Override\\n\\tprotected void initialize() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tprotected void initialize() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\t\\t\\tpublic void annadir() {\\n\\r\\n\\t\\t\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"@Override\\n protected void init() {\\n }\",\n \"@Override\\r\\n\\tpublic void init() {}\",\n \"@Override\\r\\n\\tpublic void dibujar() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void dibujar() {\\n\\t\\t\\r\\n\\t}\",\n \"public void mo4359a() {\\n }\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tprotected void initialize() {\\n\\n\\t}\",\n \"@Override\\n public void initialize() { \\n }\",\n \"private Rekenhulp()\\n\\t{\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initialize() {\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void jugar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void nghe() {\\n\\n\\t}\",\n \"@Override\\r\\n\\tpublic void anularFact() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void init()\\n\\t{\\n\\n\\t}\",\n \"public void gored() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void init() {\\n\\t}\",\n \"private TMCourse() {\\n\\t}\",\n \"@Override\\n public void initialize() {\\n \\n }\",\n \"@Override\\r\\n\\tpublic void init()\\r\\n\\t{\\n\\t}\",\n \"@Override\\n\\tpublic void one() {\\n\\t\\t\\n\\t}\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"Petunia() {\\r\\n\\t\\t}\",\n \"@Override\\n public void initialize() {}\",\n \"@Override\\n public void initialize() {}\",\n \"@Override\\n public void initialize() {}\",\n \"@Override\\r\\n\\tprotected void initialize() {\\n\\r\\n\\t}\",\n \"@Override\\n\\tpublic void einkaufen() {\\n\\t}\",\n \"@Override\\n\\tpublic void afterInit() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void afterInit() {\\n\\t\\t\\n\\t}\",\n \"Constructor() {\\r\\n\\t\\t \\r\\n\\t }\",\n \"private void m50366E() {\\n }\",\n \"@Override\\n public int getSize() {\\n return 1;\\n }\",\n \"protected MetadataUGWD() {/* intentionally empty block */}\",\n \"@Override\\n\\tprotected void initialize() {\\n\\t}\",\n \"@Override\\n\\tprotected void initialize() {\\n\\t}\",\n \"@Override\\n public void settings() {\\n // TODO Auto-generated method stub\\n \\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.60549164","0.59378976","0.5798452","0.5762114","0.5741649","0.57081324","0.57081324","0.5665461","0.5643025","0.56324536","0.5617877","0.55715424","0.5548387","0.5535888","0.55287606","0.55274373","0.5522739","0.5522739","0.5522739","0.5522739","0.5522739","0.5522739","0.5521073","0.55158806","0.5510583","0.55088633","0.55015814","0.54890025","0.54890025","0.54890025","0.54890025","0.54890025","0.5484612","0.5483112","0.54825276","0.54819643","0.5462164","0.5443338","0.54348457","0.54327446","0.54319763","0.54313046","0.54271483","0.542708","0.542708","0.54234","0.54229","0.5419532","0.54163307","0.54163307","0.5415682","0.54024136","0.54024136","0.54024136","0.5394872","0.538518","0.53837216","0.53837216","0.5377906","0.5376065","0.5376065","0.5376065","0.5370636","0.5370636","0.5370636","0.53642446","0.53526247","0.53439474","0.5340915","0.53317827","0.5309798","0.5308575","0.5304695","0.5300582","0.5298996","0.5296056","0.52946115","0.5289997","0.5286075","0.52848333","0.52848333","0.52848333","0.52848333","0.52848333","0.52848333","0.52848333","0.5284815","0.52827895","0.52827895","0.52827895","0.5262939","0.5255454","0.52509844","0.52509844","0.5247067","0.5231407","0.5231252","0.5229613","0.52288026","0.52288026","0.52272815"],"string":"[\n \"0.60549164\",\n \"0.59378976\",\n \"0.5798452\",\n \"0.5762114\",\n \"0.5741649\",\n \"0.57081324\",\n \"0.57081324\",\n \"0.5665461\",\n \"0.5643025\",\n \"0.56324536\",\n \"0.5617877\",\n \"0.55715424\",\n \"0.5548387\",\n \"0.5535888\",\n \"0.55287606\",\n \"0.55274373\",\n \"0.5522739\",\n \"0.5522739\",\n \"0.5522739\",\n \"0.5522739\",\n \"0.5522739\",\n \"0.5522739\",\n \"0.5521073\",\n \"0.55158806\",\n \"0.5510583\",\n \"0.55088633\",\n \"0.55015814\",\n \"0.54890025\",\n \"0.54890025\",\n \"0.54890025\",\n \"0.54890025\",\n \"0.54890025\",\n \"0.5484612\",\n \"0.5483112\",\n \"0.54825276\",\n \"0.54819643\",\n \"0.5462164\",\n \"0.5443338\",\n \"0.54348457\",\n \"0.54327446\",\n \"0.54319763\",\n \"0.54313046\",\n \"0.54271483\",\n \"0.542708\",\n \"0.542708\",\n \"0.54234\",\n \"0.54229\",\n \"0.5419532\",\n \"0.54163307\",\n \"0.54163307\",\n \"0.5415682\",\n \"0.54024136\",\n \"0.54024136\",\n \"0.54024136\",\n \"0.5394872\",\n \"0.538518\",\n \"0.53837216\",\n \"0.53837216\",\n \"0.5377906\",\n \"0.5376065\",\n \"0.5376065\",\n \"0.5376065\",\n \"0.5370636\",\n \"0.5370636\",\n \"0.5370636\",\n \"0.53642446\",\n \"0.53526247\",\n \"0.53439474\",\n \"0.5340915\",\n \"0.53317827\",\n \"0.5309798\",\n \"0.5308575\",\n \"0.5304695\",\n \"0.5300582\",\n \"0.5298996\",\n \"0.5296056\",\n \"0.52946115\",\n \"0.5289997\",\n \"0.5286075\",\n \"0.52848333\",\n \"0.52848333\",\n \"0.52848333\",\n \"0.52848333\",\n \"0.52848333\",\n \"0.52848333\",\n \"0.52848333\",\n \"0.5284815\",\n \"0.52827895\",\n \"0.52827895\",\n \"0.52827895\",\n \"0.5262939\",\n \"0.5255454\",\n \"0.52509844\",\n \"0.52509844\",\n \"0.5247067\",\n \"0.5231407\",\n \"0.5231252\",\n \"0.5229613\",\n \"0.52288026\",\n \"0.52288026\",\n \"0.52272815\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":19779,"cells":{"query":{"kind":"string","value":"Creates a new empty instance of DailyQuoteSeries."},"document":{"kind":"string","value":"public Series()\n {\n super();\n }"},"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 XYSeries createSeries() {\r\n return createSeries(0);\r\n }","public DateAxis() { this(null); }","public BasicOrderedSeries()\n\t{\n\t\tsuper();\n\t}","public Series () {\n super();\n this.price = RandomFill.generateNumber(5,15);\n this.listSeason = RandomFill.generateListSeason();\n }","public ICareDailyDietChart() {\n\n\t}","public LineChart() {\n init();\n }","public HumidityChart() {\n this(new XYSeriesCollection());\n }","public MutualMarketTop10Daily() {\n this(\"mutual_market_top10_daily\", null);\n }","private ListSeries getTodayData() {\n\t\tListSeries dollarEarning = new ListSeries();\n\t\tdouble number = 0;\n\t\tnumber = controler.getTodaysTransactionSummary();\n\t\tdollarEarning.addData(number);\n\t\t\n\t\treturn dollarEarning;\n\t}","protected XSSFChart() {\n\t\tsuper();\n\t\tcreateChart();\n\t}","private XYDataset createDataset() {\n final XYSeriesCollection dataset = new XYSeriesCollection();\n //dataset.addSeries(totalDemand);\n dataset.addSeries(cerContent);\n //dataset.addSeries(cerDemand);\n dataset.addSeries(comContent);\n //dataset.addSeries(comDemand);\n dataset.addSeries(activation);\n dataset.addSeries(resolutionLevel);\n \n return dataset;\n }","public DayPeriod() {\n\t}","private Chart(){}","private static JFreeChart createChart(XYDataset dataset) {\n\n chart = ChartFactory.createTimeSeriesChart(\n \"Stromzählerübersicht\", // Titel\n \"Datum\", // x-Achse label\n \"kWh\", // y-Achse label\n dataset);\n\n chart.setBackgroundPaint(Color.WHITE);\n\n XYPlot plot = (XYPlot) chart.getPlot();\n plot.setBackgroundPaint(Color.LIGHT_GRAY);\n plot.setDomainGridlinePaint(Color.WHITE);\n plot.setRangeGridlinePaint(Color.WHITE);\n plot.setAxisOffset(new RectangleInsets(5.0, 5.0, 5.0, 5.0));\n plot.setDomainCrosshairVisible(true);\n plot.setRangeCrosshairVisible(true);\n\n XYItemRenderer r = plot.getRenderer();\n if (r instanceof XYLineAndShapeRenderer) {\n XYLineAndShapeRenderer renderer = (XYLineAndShapeRenderer) r;\n renderer.setDefaultShapesVisible(false);\n renderer.setDefaultShapesFilled(false);\n renderer.setDrawSeriesLineAsPath(true);\n }\n\n DateAxis axis = (DateAxis) plot.getDomainAxis();\n axis.setDateFormatOverride(new SimpleDateFormat(\"dd-MM-yyyy\"));\n\n return chart;\n\n }","public AlbumSeriesRecord() {\n super(AlbumSeries.ALBUM_SERIES);\n }","private static MarketDataSet createTestMarketData() {\n final MarketDataSet dataSet = MarketDataSet.empty();\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \"AUDUSD\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)), 1.8);\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \"NZDUSD\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)), 2.2);\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \"GBPUSD\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)), 1.5);\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \"GBP1Y\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)),\n ImmutableLocalDateDoubleTimeSeries.builder()\n .putAll(new LocalDate[] {LocalDate.of(2016, 1, 1), LocalDate.of(2016, 1, 2)}, new double[] {0.01, 0.02}).build());\n return dataSet;\n }","Quote createQuote();","public CrlSeries()\n {\n super();\n }","Dates() {\n clear();\n }","public MarketHistoricalState() {\n\t\tthis(MarketHistoricalSnapshot.newBuilder());\n\t}","public BasicOrderedSeries( final int initialCapacity )\n\t{\n\t\tsuper( initialCapacity );\n\t}","public TradeData() {\r\n\r\n\t}","public StoredDay(LocalDate date) {\n this.date = date;\n this.recipes = new StoredRecipe[0];\n }","static <R,C> DataFrame<R,C> empty() {\n return DataFrame.factory().empty();\n }","public Quotes() {\n\t\tthis(\"quotes\", null);\n\t}","private void createChart() {\n LineChart lineChart = (LineChart) findViewById(R.id.line_chart);\n\n // LineChart DataSet\n ArrayList<LineDataSet> dataSets = new ArrayList<>();\n\n // x-coordinate format value\n XAxis xAxis = lineChart.getXAxis();\n xAxis.setPosition(XAxis.XAxisPosition.BOTTOM);\n xAxis.setGranularity(1f); // only intervals of 1 day\n// xAxis.setValueFormatter(new DayAxisValueFormatter(lineChart));\n\n\n // x-coordinate value\n ArrayList<String> xValues = new ArrayList<>();\n xValues.add(\"No.1\");\n xValues.add(\"No.2\");\n xValues.add(\"No.3\");\n xValues.add(\"No.4\");\n xValues.add(\"No.5\");\n\n // value\n ArrayList<Entry> value = new ArrayList<>();\n String measureItemName = \"\";\n value.add(new Entry(100, 0));\n value.add(new Entry(120, 1));\n value.add(new Entry(150, 2));\n value.add(new Entry(250, 3));\n value.add(new Entry(500, 4));\n\n\n // add value to LineChart's DataSet\n LineDataSet valueDataSet = new LineDataSet(value, measureItemName);\n dataSets.add(valueDataSet);\n\n // set LineChart's DataSet to LineChart\n// lineChart.setData(new LineData(xValues, dataSets));\n lineChart.setData(new LineData(valueDataSet));\n }","public PeriodFactoryImpl() {\n\t\tsuper();\n\t}","@Override\n\tprotected final JFreeChart createChart() {\n\t\tJFreeChart jFreeChart=null;\n\t\tIntervalXYDataset dataset=createDataset();\n\t\t\n\t\tjFreeChart=ChartFactory.createXYBarChart(title,xalabel, dateAxis, yalabel,dataset, por, legend, tooltips, urls);\n\t\t\n\t\tXYPlot plot=(XYPlot)jFreeChart.getPlot();\n\t\tpreRender(plot);\n\t\treturn jFreeChart; \n\t}","private XYChart.Series<Number, Number> getTenSeries() {\n //Create new series\n XYChart.Series<Number, Number> series = new XYChart.Series<>();\n series.setName(\"Chemical Concentration\");\n Random rand = new Random();\n int c = 5; // Constant for x-axis scale\n for (int i = 0; i < 17; i++) {\n int y = rand.nextInt() % 3 + 2;\n series.getData().add(new XYChart.Data<>(i*5, y));\n }\n series.getData().add(new XYChart.Data<>(17 * c, 4));\n series.getData().add(new XYChart.Data<>(18 * c, 5));\n series.getData().add(new XYChart.Data<>(19 * c-2,8));\n series.getData().add(new XYChart.Data<>(19 * c, 10));\n series.getData().add(new XYChart.Data<>(19 * c+2,8));\n series.getData().add(new XYChart.Data<>(20 * c, 6));\n series.getData().add(new XYChart.Data<>(21 * c, 4));\n\n for (int i = 22; i < 30; i++) {\n int y = rand.nextInt() % 3 + 2;\n series.getData().add(new XYChart.Data<>(i*5, y));\n }\n return series;\n }","public SalesRecords() {\n super();\n }","public Qs() {\n this(\"qs\", null);\n }","private XYChart.Series<Number, Number> getFortySeries() {\n //Create new series\n XYChart.Series<Number, Number> series = new XYChart.Series<>();\n series.setName(\"Chemical Concentration\");\n Random rand = new Random();\n int c = 5; // Constant for x-axis scale\n for (int i = 0; i < 17; i++) {\n int y = rand.nextInt() % 5 + 10;\n series.getData().add(new XYChart.Data<>(i*5, y));\n }\n series.getData().add(new XYChart.Data<>(17 * c, 17));\n series.getData().add(new XYChart.Data<>(18 * c, 21));\n series.getData().add(new XYChart.Data<>(19 * c, 40));\n series.getData().add(new XYChart.Data<>(20 * c, 39));\n series.getData().add(new XYChart.Data<>(21 * c, 36));\n series.getData().add(new XYChart.Data<>(22 * c, 21));\n\n for (int i = 23; i < 30; i++) {\n int y = rand.nextInt() % 5 + 10;\n series.getData().add(new XYChart.Data<>(i*5, y));\n }\n return series;\n }","public SalesRecord() {\n super(Sales.SALES);\n }","public Chart initializeChart();","public static TickUnitSource createStandardDateTickUnits() {\n/* 1139 */ return createStandardDateTickUnits(TimeZone.getDefault(), \n/* 1140 */ Locale.getDefault());\n/* */ }","public Trade() {\n\t}","public Stock() {\n // initialize _stock array in max size\n _stock = new FoodItem[MAX_STOCK_SIZE];\n // set _noOfItem to 0 - no items yet\n _noOfItems = 0;\n }","public Stock() {\n }","private DefaultPieDataset getChartDataset() {\n if (this.pieDataset == null) {\n pieDataset = new DefaultPieDataset();\n List<String> model = this.handler.getSchema();\n model.stream().forEach((key) -> {\n pieDataset.setValue(key, 0d);\n });\n }\n return pieDataset;\n }","public TradingDayInfo(String ticker, String date, double openingPrice, double highPrice, double lowPrice, double closingPrice) {\n this.ticker = ticker;\n this.date = date;\n this.openingPrice = openingPrice;\n this.highPrice = highPrice;\n this.lowPrice = lowPrice;\n this.closingPrice = closingPrice;\n \n \n return;\n }","private void initializeChart(final List<DateCounter> data)\n {\n final XYSeries series = new XYSeries(TITLE_XY_SERIES);\n\n //Adding data to the chart\n addDataToXYSeries(data, series);\n\n //Finalizing the chart\n final XYSeriesCollection coll = new XYSeriesCollection(series);\n final JFreeChart chart = ChartFactory.createXYLineChart(TITLE_CHART, X_AXIS_TITLE,\n Y_AXIS_TITLE, coll, PlotOrientation.VERTICAL, true, true, false);\n final ChartPanel chartPanel = new ChartPanel(chart);\n chartPanel.setPreferredSize(new java.awt.Dimension(SIZE_CHART_PANEL, SIZE_CHART_PANEL));\n this.add(chartPanel, BorderLayout.CENTER);\n }","private XYDataset createDataset() {\n\t\tfinal XYSeriesCollection dataset = new XYSeriesCollection( ); \n\t\tdataset.addSeries(trainErrors); \n\t\tdataset.addSeries(testErrors);\n\t\treturn dataset;\n\t}","private void todayReport() {\n\t\tListSeries dollarEarning = new ListSeries();\n\t\tString[] dates = new String[1];\n\t\t/* Create a DateField with the default style. */\n Calendar calendar=Calendar.getInstance();\n\t\t\n\t\tvReportDisplayLayout.removeAllComponents();\n\t\tdates[0] = String.valueOf(calendar.get(Calendar.MONTH)+1) + \"/\" + \n\t\t\t\tString.valueOf(calendar.get(Calendar.DATE)) + \"/\" + \n\t\t\t\tString.valueOf(calendar.get(Calendar.YEAR));\n\t\tdollarEarning = getTodayData();\n\t\t\n\t\tdisplayChart chart = new displayChart();\n\t\t\n\t\tdReportPanel.setContent(chart.getDisplayChart(dates, dollarEarning));\n\t\tvReportDisplayLayout.addComponent(dReportPanel);\n\t}","public static LogEvent createEmptyEvent()\n\t{\n\t\treturn new LogEvent();\n\t}","Series<double[]> makeSeries(int dimension);","public WebhookTriggerSeries() {\n this(DSL.name(\"webhook_trigger_series\"), null);\n }","QuoteItem createQuoteItem();","public StockExchange()\n {\n stocks = new ArrayList<Stock>();\n }","private static XYDataset createDataset(Double[] x, Double[] y) {\n\t\tlogger.info(\"Creating Dataset\");\n\t\tXYSeries s1 = new XYSeries(Double.valueOf(1));\n\t\tif (x.length != y.length) {\n\t\t\tlogger.error(\"Error in createDataset of ScatterDialog. \" +\n\t\t\t\t\t\"Could not create a dataset for the scatter plot -- missing data\");\n\t\t\treturn null;\n\t\t}\n\t\tfor (int i = 0; i < x.length; i++) {\n\t\t\tif (y[i] != null) {\n\t\t\t\ts1.add(x[i], y[i]);\n\t\t\t}\n\t\t}\n\t\tXYSeriesCollection dataset = new XYSeriesCollection();\n\t\tdataset.addSeries(s1);\n\t\treturn dataset;\n\t}","private void onCreateMoneyXYPlot(DateDoubleSeries coffeeExpenditureSeries, DateDoubleSeries teaExpenditureSeries) {\n // refreshes the chart (it will be loaded with default vals at this point)\n moneyXYPlot.clear();\n moneyXYPlot.redraw();\n\n // default graph: supports y from $0.00 to $20.00 in increments of $2.50, but this can be\n // overridden by very large values, in which case it's MAX_VALUE rounded to next\n // increment of $2.50, in increments of MAX_VALUE / 8\n double maxRange = 20;\n double maxYValue = Double.max(coffeeExpenditureSeries.getMaxYValue(), teaExpenditureSeries.getMaxYValue());\n if (maxYValue > 20) {\n if (maxYValue % 5 != 0) maxRange = maxYValue + (5 - (maxYValue % 5));\n else maxRange = maxYValue;\n }\n\n // formatting: add extra vals at beg/end (7 days +1 on each end = 9) to create a margin for the bars\n moneyXYPlot.setRangeStep(StepMode.SUBDIVIDE, 8);\n moneyXYPlot.setRangeBoundaries(0, maxRange, BoundaryMode.FIXED);\n moneyXYPlot.setDomainStep(StepMode.SUBDIVIDE, 10);\n\n // format the lines (color, smoothing, removing fill)\n LineAndPointFormatter coffeeLineFormatter = new LineAndPointFormatter(Color.parseColor(\"#ac9782\"),\n null, null, null);\n coffeeLineFormatter.getLinePaint().setStrokeWidth(8);\n coffeeLineFormatter.setInterpolationParams(new CatmullRomInterpolator.Params(20,\n CatmullRomInterpolator.Type.Centripetal)); // smooths out the lines\n coffeeLineFormatter.setFillPaint(null); // to prevent lines from filling .. may break in the future?\n LineAndPointFormatter teaLineFormatter = new LineAndPointFormatter(Color.parseColor(\"#4d7d55\"),\n null, null, null);\n teaLineFormatter.getLinePaint().setStrokeWidth(8);\n teaLineFormatter.setInterpolationParams(new CatmullRomInterpolator.Params(20,\n CatmullRomInterpolator.Type.Centripetal)); // smooths out the lines\n teaLineFormatter.setFillPaint(null);\n\n moneyXYPlot.addSeries(coffeeExpenditureSeries, coffeeLineFormatter);\n moneyXYPlot.addSeries(teaExpenditureSeries, teaLineFormatter);\n\n // initialize line and point renderer (must be done after set formatter and add series to the plot)\n moneyXYPlotRenderer = moneyXYPlot.getRenderer(LineAndPointRenderer.class);\n\n // X-AXIS = date values, formatted as \"10/27\"\n moneyXYPlot.getGraph().getLineLabelStyle(XYGraphWidget.Edge.BOTTOM).setFormat(new xAxisDateFormat());\n\n // Y-AXIS = dollar values, formatted as \"$50\"\n moneyXYPlot.getGraph().getLineLabelStyle(XYGraphWidget.Edge.LEFT).setFormat(new Format() {\n @Override\n public StringBuffer format(Object obj, StringBuffer toAppendTo, FieldPosition pos) {\n // trying to format #'s like $13.50, but doesn't work for numbers ending in .0\n // double number = Double.parseDouble(String.format(\"%.2f\", ((Number) obj).doubleValue()));\n int number = ((Number) obj).intValue();\n return new StringBuffer(\"$\" + number);\n }\n\n @Override\n public Number parseObject(String string, ParsePosition position) {\n throw new UnsupportedOperationException(\"Not yet implemented.\");\n }\n });\n }","private DefaultCategoryDataset createDataset() {\n\t\t\n\t\tdataset.clear();\n\t\t\n\t\t// Query HIM to submit data for bar chart display \n\t\tHistoricalInfoMgr.getChartDataset(expNum);\n\n\n\t\treturn dataset; // add the data point (y-value, variable, x-value)\n\t}","protected BasicOrderedSeries( final BasicOrderedSeries< V > series )\n\t{\n\t\tsuper( series );\n\t}","@Override\n\tpublic int getDatapointSeriesCount() {\n\t\treturn 0;\n\t}","SeriesType createSeriesType();","private void initChart() {\n Cartesian cartesian = AnyChart.line();\n\n cartesian.animation(true);\n\n cartesian.padding(10d, 20d, 5d, 20d);\n\n cartesian.crosshair().enabled(true);\n cartesian.crosshair()\n .yLabel(true)\n // TODO ystroke\n .yStroke((Stroke) null, null, null, (String) null, (String) null);\n\n cartesian.tooltip().positionMode(TooltipPositionMode.POINT);\n\n cartesian.title(\"Steps taken in this week and last week\");\n\n cartesian.yAxis(0).title(\"Steps\");\n cartesian.xAxis(0).labels().padding(5d, 5d, 5d, 5d);\n\n List<DataEntry> seriesData = new ArrayList<>();\n Log.d(\"Size This Week\",stepsTakenModelsThisWeek.size()+\"\");\n for(int i = 0 ; i<7 ; i++){\n CustomDataEntry c = new CustomDataEntry(days[i],stepsTakenModelsLastWeek.get(i).getSteps());\n if(i<stepsTakenModelsThisWeek.size()){\n c.setValue(\"value2\",stepsTakenModelsThisWeek.get(i).getSteps());\n }else{\n if(DateUtilities.getDayInAbbBySelectedDate(stepsTakenModelsLastWeek.get(i).getDate()).equals(\n DateUtilities.getCurrentDayInAbb()))\n {\n c.setValue(\"value2\",stepsToday);\n }else{\n c.setValue(\"value2\",0);\n }\n }\n seriesData.add(c);\n }\n\n Set set = Set.instantiate();\n set.data(seriesData);\n Mapping series1Mapping = set.mapAs(\"{ x: 'x', value: 'value' }\");\n Mapping series2Mapping = set.mapAs(\"{ x: 'x', value: 'value2' }\");\n\n Line series1 = cartesian.line(series1Mapping);\n series1.name(\"Last Week\");\n series1.hovered().markers().enabled(true);\n series1.hovered().markers()\n .type(MarkerType.CIRCLE)\n .size(4d);\n series1.tooltip()\n .position(\"right\")\n .anchor(Anchor.LEFT_CENTER)\n .offsetX(5d)\n .offsetY(5d);\n\n Line series2 = cartesian.line(series2Mapping);\n series2.name(\"This Week\");\n series2.hovered().markers().enabled(true);\n series2.hovered().markers()\n .type(MarkerType.CIRCLE)\n .size(4d);\n series2.tooltip()\n .position(\"right\")\n .anchor(Anchor.LEFT_CENTER)\n .offsetX(5d)\n .offsetY(5d);\n\n\n cartesian.legend().enabled(true);\n cartesian.legend().fontSize(13d);\n cartesian.legend().padding(0d, 0d, 10d, 0d);\n\n chart.setChart(cartesian);\n }","public Stock(String sym)\n\t{\n\t\tthis(sym, 0);\n\t}","public DailyMessagesChart(final String title, final List<DateCounter> data)\n {\n super(title);\n initializeChart(data);\n }","private static KafkaUserQuotas emptyQuotas() {\n KafkaUserQuotas emptyQuotas = new KafkaUserQuotas();\n emptyQuotas.setProducerByteRate(null);\n emptyQuotas.setConsumerByteRate(null);\n emptyQuotas.setRequestPercentage(null);\n emptyQuotas.setControllerMutationRate(null);\n\n return emptyQuotas;\n }","public SlotSeries build() {\n if (this.configuredSlots.size() == 0) {\n return new SlotSeries(new ArrayList<>(0));\n }\n\n final int slotCount = configuredSlots.lastKey() + 1;\n final List<Integer> slotList = new ArrayList<>(slotCount);\n\n for (int slotIndex = 0; slotIndex < slotCount; slotIndex++) {\n slotList.add(\n slotIndex,\n this.configuredSlots.getOrDefault(slotIndex, 0));\n }\n\n return new SlotSeries(slotList);\n }","private void setupDailyBarChart() {\r\n BarChart chart = findViewById(R.id.chart);\r\n chart.getDescription().setEnabled(false);\r\n chart.setExtraOffsets(0, 0, 0, 10);\r\n chart.setNoDataText(getResources().getString(R.string.loading_graph));\r\n chart.getPaint(Chart.PAINT_INFO).setTextSize(Utils.convertDpToPixel(16f));\r\n chart.getLegend().setEnabled(false);\r\n\r\n // Show time on x-axis at three hour intervals\r\n XAxis xAxis = chart.getXAxis();\r\n xAxis.setValueFormatter(new IAxisValueFormatter() {\r\n @Override\r\n public String getFormattedValue(float value, AxisBase axis) {\r\n int valueInt = (int) value;\r\n if(valueInt == 0) {\r\n return \"12am\";\r\n } else if(valueInt > 0 && valueInt < 12) {\r\n return valueInt + \"am\";\r\n } else if(valueInt == 12) {\r\n return \"12pm\";\r\n } else {\r\n return (valueInt - 12) + \"pm\";\r\n }\r\n }\r\n });\r\n\r\n xAxis.setPosition(XAxis.XAxisPosition.BOTTOM);\r\n xAxis.setDrawGridLines(false);\r\n xAxis.setTextSize(14f);\r\n // show label for every three hours\r\n xAxis.setGranularity(3.0f);\r\n xAxis.setLabelCount(8);\r\n xAxis.setGranularityEnabled(true);\r\n\r\n // Show non-sedentary hours on left y-axis\r\n YAxis yAxisLeft = chart.getAxisLeft();\r\n yAxisLeft.setAxisMinimum(0f);\r\n yAxisLeft.setTextSize(14f);\r\n yAxisLeft.setGranularity(1.0f); // show integer values on y axis\r\n yAxisLeft.setGranularityEnabled(true);\r\n\r\n YAxis yAxisRight = chart.getAxisRight();\r\n yAxisRight.setEnabled(false);\r\n }","public DataTable() {\n\n\t\t// In this application, we use HashMap data structure defined in\n\t\t// java.util.HashMap\n\t\tdc = new HashMap<String, DataColumn>();\n\t}","public XYSeries(String name) {\n\t\tthis.name = name;\n\t\tpointList = new ArrayList<Point2D>(1024);\n\t}","public TradeList() {\n this.trades = new ArrayList<>();\n }","public java.util.List<Series> getSeries() { \n\t\tif (mySeries == null) {\n\t\t\tmySeries = new java.util.ArrayList<Series>();\n\t\t}\n\t\treturn mySeries;\n\t}","public CoreChart()\n {\n super(\"org.apache.myfaces.trinidad.Chart\");\n }","static Set createEmpty() {\n return new EmptySet();\n }","public Series addSeries() {\n\t\tSeries newType = new Series();\n\t\tgetSeries().add(newType);\n\t\treturn newType; \n\t}","public FillDate() {\n }","public HighLowChart() {\n }","private Object createDataset(final ChartConfiguration config) {\n final CategoryChart chart = (CategoryChart) config.chart;\n for (final Fields key: config.fields) {\n chart.addSeries(key.getLocalizedName(), new double[1], new double[1]);\n }\n populateDataset(config);\n return null;\n }","public BreweriesAdapter() {\n }","public LocalDateAdapter() {\r\n\t\tsuper();\r\n\t}","public DateList() {\n DateNode ln = new DateNode(null);\n first = ln;\n last = ln;\n }","private JFreeChart createChart ( final XYDataset dataset1, final XYDataset dataset2 ) {\n final JFreeChart result = ChartFactory.createTimeSeriesChart( null, \"\", \"\", dataset1, true, true, false );\n final XYPlot plot = result.getXYPlot();\n final XYItemRenderer renderer1 = new XYLineAndShapeRenderer( true, false );\n final XYItemRenderer renderer2 = new XYLineAndShapeRenderer( true, false );\n plot.setDomainPannable( true );\n plot.setRangePannable( true );\n plot.setDataset( SPEED_SERIES_DATASET, dataset2 );\n plot.mapDatasetToRangeAxis( SPEED_SERIES_DATASET, SPEED_SERIES_DATASET );\n plot.setRenderer( SPEED_SERIES_DATASET, renderer1 );\n plot.setDataset( POSITION_SERIES_DATASET, dataset1 );\n plot.mapDatasetToRangeAxis( POSITION_SERIES_DATASET, POSITION_SERIES_DATASET );\n plot.setRenderer( POSITION_SERIES_DATASET, renderer2 );\n plot.setBackgroundPaint( StartUI.MAIN_BACKGROUND_COLOR );\n plot.setDomainGridlinePaint( Color.decode(\"0x3b4246\") );\n plot.setRangeGridlinePaint( Color.decode(\"0x3b4246\") );\n plot.setRangeGridlineStroke( new BasicStroke( 0.8f, BasicStroke.CAP_BUTT, BasicStroke.JOIN_BEVEL ) );\n plot.setDomainGridlineStroke( new BasicStroke( 0.8f, BasicStroke.CAP_BUTT, BasicStroke.JOIN_BEVEL ) );\n renderer1.setSeriesPaint( 0, Color.decode( \"#AAFF44\" ) );\n renderer2.setSeriesPaint( 0, Color.decode( \"#EEDD00\" ) );\n result.setBackgroundPaint( null );\n result.removeLegend();\n return result;\n }","private CreateScanRetentionTimeQCPlotData(){}","public java.util.List<SeriesInstance> getInstance() { \n\t\tif (myInstance == null) {\n\t\t\tmyInstance = new java.util.ArrayList<SeriesInstance>();\n\t\t}\n\t\treturn myInstance;\n\t}","public DateAxis(String label, TimeZone zone, Locale locale) {\n/* 402 */ super(label, createStandardDateTickUnits(zone, locale));\n/* 403 */ this.tickUnit = new DateTickUnit(DateTickUnitType.DAY, true, new SimpleDateFormat());\n/* */ \n/* 405 */ setAutoRangeMinimumSize(2.0D);\n/* */ \n/* 407 */ setRange(DEFAULT_DATE_RANGE, false, false);\n/* 408 */ this.dateFormatOverride = null;\n/* 409 */ this.timeZone = zone;\n/* 410 */ this.locale = locale;\n/* 411 */ this.timeline = DEFAULT_TIMELINE;\n/* */ }","public SimpleDataPointImpl(DataSet dataSet){\n\t\tvalues = new HashMap<String, Double>();\n\t\tmDataSet = dataSet;\n\t}","public static Query empty() {\n return new Query();\n }","public static Metrics createDetached() {\n return new Metrics();\n }","public Builder clearStocks() {\n if (stocksBuilder_ == null) {\n stocks_ = java.util.Collections.emptyList();\n bitField0_ = (bitField0_ & ~0x00000001);\n onChanged();\n } else {\n stocksBuilder_.clear();\n }\n return this;\n }","public QuantDataHashTable() {\n\t\t\n\t\tquantData = new Hashtable<String, Double>();\n\t\t\n\t}","public DanceChart build();","public Quote(String ticker, String idfinam) {\n this.ticker = ticker;\n this.idfinam = idfinam;\n }","public HourlyRecord() {\n\t\tthis(\"hourly_record\", null);\n\t}","public static SupplyStock createEntity(EntityManager em) {\n SupplyStock supplyStock = new SupplyStock()\n .name(DEFAULT_NAME)\n .amount(DEFAULT_AMOUNT);\n return supplyStock;\n }","public static < T > BasicOrderedSeries< T > copy( final BasicOrderedSeries< T > series )\n\t{\n\t\tRequire.notNull( series );\n\t\tfinal BasicOrderedSeries< T > copy = new BasicOrderedSeries< T >( series.size() );\n\t\t\n\t\tfor( BasicOrderedSeries.Entry< Double, T > entry : series )\n\t\t{\n\t\t\tcopy.add( entry.getKey(), entry.getElement() );\n\t\t}\n\t\t\n\t\treturn copy;\n\t}","public UIXChart()\n {\n super(\"org.apache.myfaces.trinidad.Chart\");\n }","public Quarter() { // note: null fields exist for this option\n courses = new ArrayList<Course>();\n }","private XYMultipleSeriesDataset getdemodataset() {\n\t\t\tdataset1 = new XYMultipleSeriesDataset();// xy轴数据源\n\t\t\tseries = new XYSeries(\"温度 \");// 这个事是显示多条用的，显不显示在上面render设置\n\t\t\t// 这里相当于初始化，初始化中无需添加数据，因为如果这里添加第一个数据的话，\n\t\t\t// 很容易使第一个数据和定时器中更新的第二个数据的时间间隔不为两秒，所以下面语句屏蔽\n\t\t\t// 这里可以一次更新五个数据，这样的话相当于开始的时候就把五个数据全部加进去了，但是数据的时间是不准确或者间隔不为二的\n\t\t\t// for(int i=0;i<5;i++)\n\t\t\t// series.add(1, Math.random()*10);//横坐标date数据类型，纵坐标随即数等待更新\n\n\t\t\tdataset1.addSeries(series);\n\t\t\treturn dataset1;\n\t\t}","QuoteType createQuoteType();","private XYSeries createSeries(int scaleIndex) {\r\n // TODO: Bubble and time graphs ought to respect scaleIndex, but XYValueSeries\r\n // and TimeSeries don't expose the (String title, int scaleNumber) constructor.\r\n if (scaleIndex > 0 && !Graph.TYPE_XY.equals(mData.getType())) {\r\n throw new IllegalArgumentException(\"This series does not support a secondary y axis\");\r\n }\r\n\r\n if (Graph.TYPE_TIME.equals(mData.getType())) {\r\n return new TimeSeries(\"\");\r\n }\r\n if (Graph.TYPE_BUBBLE.equals(mData.getType())) {\r\n return new RangeXYValueSeries(\"\");\r\n }\r\n return new XYSeries(\"\", scaleIndex);\r\n }","private void createChart() {\n\t\tchartSpace = CTChartSpace.Factory.newInstance();\n\t\tchart = chartSpace.addNewChart();\n\t\tCTPlotArea plotArea = chart.addNewPlotArea();\n\n\t\tplotArea.addNewLayout();\n\t\tchart.addNewPlotVisOnly().setVal(true);\n\n\t\tCTPrintSettings printSettings = chartSpace.addNewPrintSettings();\n\t\tprintSettings.addNewHeaderFooter();\n\n\t\tCTPageMargins pageMargins = printSettings.addNewPageMargins();\n\t\tpageMargins.setB(0.75);\n\t\tpageMargins.setL(0.70);\n\t\tpageMargins.setR(0.70);\n\t\tpageMargins.setT(0.75);\n\t\tpageMargins.setHeader(0.30);\n\t\tpageMargins.setFooter(0.30);\n\t\tprintSettings.addNewPageSetup();\n\t}","public CellaredDrink() {\n\t\tthis(\"cellared_drink\", null);\n\t}","public RDataframe() {\n\t\tsuper();\n\t}","QuoteTerm createQuoteTerm();","QuoteNote createQuoteNote();","public TbStock() {\r\n\t\tsuper();\r\n\t}","public OrderLine() {\n products = new ArrayList<>();\n price = new BigDecimal(0);\n }","@Override\n public EventData next() {\n StockTick tick = new StockTick(names[RandomHelper.getIntFromRange(0, 4)]);\n tick.setTime(System.currentTimeMillis());\n tick.setPrice(MathHelper.getDouble(RandomHelper.getDoubleFromRange(34, 39), \"#.##\"));\n\n Map<String, Object> dataMap = new HashMap<>();\n dataMap.put(\"stockSymbol\", tick.getStockSymbol());\n dataMap.put(\"price\", tick.getPrice());\n dataMap.put(\"time\", tick.getTime());\n\n EventData edata = new EventData(\"StockTick\", dataMap);\n edata.addData(\"stockSymbol\", tick.getStockSymbol());\n edata.addData(\"price\", tick.getPrice());\n edata.addData(\"time\", tick.getTime());\n return edata;\n }"],"string":"[\n \"private XYSeries createSeries() {\\r\\n return createSeries(0);\\r\\n }\",\n \"public DateAxis() { this(null); }\",\n \"public BasicOrderedSeries()\\n\\t{\\n\\t\\tsuper();\\n\\t}\",\n \"public Series () {\\n super();\\n this.price = RandomFill.generateNumber(5,15);\\n this.listSeason = RandomFill.generateListSeason();\\n }\",\n \"public ICareDailyDietChart() {\\n\\n\\t}\",\n \"public LineChart() {\\n init();\\n }\",\n \"public HumidityChart() {\\n this(new XYSeriesCollection());\\n }\",\n \"public MutualMarketTop10Daily() {\\n this(\\\"mutual_market_top10_daily\\\", null);\\n }\",\n \"private ListSeries getTodayData() {\\n\\t\\tListSeries dollarEarning = new ListSeries();\\n\\t\\tdouble number = 0;\\n\\t\\tnumber = controler.getTodaysTransactionSummary();\\n\\t\\tdollarEarning.addData(number);\\n\\t\\t\\n\\t\\treturn dollarEarning;\\n\\t}\",\n \"protected XSSFChart() {\\n\\t\\tsuper();\\n\\t\\tcreateChart();\\n\\t}\",\n \"private XYDataset createDataset() {\\n final XYSeriesCollection dataset = new XYSeriesCollection();\\n //dataset.addSeries(totalDemand);\\n dataset.addSeries(cerContent);\\n //dataset.addSeries(cerDemand);\\n dataset.addSeries(comContent);\\n //dataset.addSeries(comDemand);\\n dataset.addSeries(activation);\\n dataset.addSeries(resolutionLevel);\\n \\n return dataset;\\n }\",\n \"public DayPeriod() {\\n\\t}\",\n \"private Chart(){}\",\n \"private static JFreeChart createChart(XYDataset dataset) {\\n\\n chart = ChartFactory.createTimeSeriesChart(\\n \\\"Stromzählerübersicht\\\", // Titel\\n \\\"Datum\\\", // x-Achse label\\n \\\"kWh\\\", // y-Achse label\\n dataset);\\n\\n chart.setBackgroundPaint(Color.WHITE);\\n\\n XYPlot plot = (XYPlot) chart.getPlot();\\n plot.setBackgroundPaint(Color.LIGHT_GRAY);\\n plot.setDomainGridlinePaint(Color.WHITE);\\n plot.setRangeGridlinePaint(Color.WHITE);\\n plot.setAxisOffset(new RectangleInsets(5.0, 5.0, 5.0, 5.0));\\n plot.setDomainCrosshairVisible(true);\\n plot.setRangeCrosshairVisible(true);\\n\\n XYItemRenderer r = plot.getRenderer();\\n if (r instanceof XYLineAndShapeRenderer) {\\n XYLineAndShapeRenderer renderer = (XYLineAndShapeRenderer) r;\\n renderer.setDefaultShapesVisible(false);\\n renderer.setDefaultShapesFilled(false);\\n renderer.setDrawSeriesLineAsPath(true);\\n }\\n\\n DateAxis axis = (DateAxis) plot.getDomainAxis();\\n axis.setDateFormatOverride(new SimpleDateFormat(\\\"dd-MM-yyyy\\\"));\\n\\n return chart;\\n\\n }\",\n \"public AlbumSeriesRecord() {\\n super(AlbumSeries.ALBUM_SERIES);\\n }\",\n \"private static MarketDataSet createTestMarketData() {\\n final MarketDataSet dataSet = MarketDataSet.empty();\\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \\\"AUDUSD\\\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)), 1.8);\\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \\\"NZDUSD\\\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)), 2.2);\\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \\\"GBPUSD\\\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)), 1.5);\\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \\\"GBP1Y\\\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)),\\n ImmutableLocalDateDoubleTimeSeries.builder()\\n .putAll(new LocalDate[] {LocalDate.of(2016, 1, 1), LocalDate.of(2016, 1, 2)}, new double[] {0.01, 0.02}).build());\\n return dataSet;\\n }\",\n \"Quote createQuote();\",\n \"public CrlSeries()\\n {\\n super();\\n }\",\n \"Dates() {\\n clear();\\n }\",\n \"public MarketHistoricalState() {\\n\\t\\tthis(MarketHistoricalSnapshot.newBuilder());\\n\\t}\",\n \"public BasicOrderedSeries( final int initialCapacity )\\n\\t{\\n\\t\\tsuper( initialCapacity );\\n\\t}\",\n \"public TradeData() {\\r\\n\\r\\n\\t}\",\n \"public StoredDay(LocalDate date) {\\n this.date = date;\\n this.recipes = new StoredRecipe[0];\\n }\",\n \"static <R,C> DataFrame<R,C> empty() {\\n return DataFrame.factory().empty();\\n }\",\n \"public Quotes() {\\n\\t\\tthis(\\\"quotes\\\", null);\\n\\t}\",\n \"private void createChart() {\\n LineChart lineChart = (LineChart) findViewById(R.id.line_chart);\\n\\n // LineChart DataSet\\n ArrayList<LineDataSet> dataSets = new ArrayList<>();\\n\\n // x-coordinate format value\\n XAxis xAxis = lineChart.getXAxis();\\n xAxis.setPosition(XAxis.XAxisPosition.BOTTOM);\\n xAxis.setGranularity(1f); // only intervals of 1 day\\n// xAxis.setValueFormatter(new DayAxisValueFormatter(lineChart));\\n\\n\\n // x-coordinate value\\n ArrayList<String> xValues = new ArrayList<>();\\n xValues.add(\\\"No.1\\\");\\n xValues.add(\\\"No.2\\\");\\n xValues.add(\\\"No.3\\\");\\n xValues.add(\\\"No.4\\\");\\n xValues.add(\\\"No.5\\\");\\n\\n // value\\n ArrayList<Entry> value = new ArrayList<>();\\n String measureItemName = \\\"\\\";\\n value.add(new Entry(100, 0));\\n value.add(new Entry(120, 1));\\n value.add(new Entry(150, 2));\\n value.add(new Entry(250, 3));\\n value.add(new Entry(500, 4));\\n\\n\\n // add value to LineChart's DataSet\\n LineDataSet valueDataSet = new LineDataSet(value, measureItemName);\\n dataSets.add(valueDataSet);\\n\\n // set LineChart's DataSet to LineChart\\n// lineChart.setData(new LineData(xValues, dataSets));\\n lineChart.setData(new LineData(valueDataSet));\\n }\",\n \"public PeriodFactoryImpl() {\\n\\t\\tsuper();\\n\\t}\",\n \"@Override\\n\\tprotected final JFreeChart createChart() {\\n\\t\\tJFreeChart jFreeChart=null;\\n\\t\\tIntervalXYDataset dataset=createDataset();\\n\\t\\t\\n\\t\\tjFreeChart=ChartFactory.createXYBarChart(title,xalabel, dateAxis, yalabel,dataset, por, legend, tooltips, urls);\\n\\t\\t\\n\\t\\tXYPlot plot=(XYPlot)jFreeChart.getPlot();\\n\\t\\tpreRender(plot);\\n\\t\\treturn jFreeChart; \\n\\t}\",\n \"private XYChart.Series<Number, Number> getTenSeries() {\\n //Create new series\\n XYChart.Series<Number, Number> series = new XYChart.Series<>();\\n series.setName(\\\"Chemical Concentration\\\");\\n Random rand = new Random();\\n int c = 5; // Constant for x-axis scale\\n for (int i = 0; i < 17; i++) {\\n int y = rand.nextInt() % 3 + 2;\\n series.getData().add(new XYChart.Data<>(i*5, y));\\n }\\n series.getData().add(new XYChart.Data<>(17 * c, 4));\\n series.getData().add(new XYChart.Data<>(18 * c, 5));\\n series.getData().add(new XYChart.Data<>(19 * c-2,8));\\n series.getData().add(new XYChart.Data<>(19 * c, 10));\\n series.getData().add(new XYChart.Data<>(19 * c+2,8));\\n series.getData().add(new XYChart.Data<>(20 * c, 6));\\n series.getData().add(new XYChart.Data<>(21 * c, 4));\\n\\n for (int i = 22; i < 30; i++) {\\n int y = rand.nextInt() % 3 + 2;\\n series.getData().add(new XYChart.Data<>(i*5, y));\\n }\\n return series;\\n }\",\n \"public SalesRecords() {\\n super();\\n }\",\n \"public Qs() {\\n this(\\\"qs\\\", null);\\n }\",\n \"private XYChart.Series<Number, Number> getFortySeries() {\\n //Create new series\\n XYChart.Series<Number, Number> series = new XYChart.Series<>();\\n series.setName(\\\"Chemical Concentration\\\");\\n Random rand = new Random();\\n int c = 5; // Constant for x-axis scale\\n for (int i = 0; i < 17; i++) {\\n int y = rand.nextInt() % 5 + 10;\\n series.getData().add(new XYChart.Data<>(i*5, y));\\n }\\n series.getData().add(new XYChart.Data<>(17 * c, 17));\\n series.getData().add(new XYChart.Data<>(18 * c, 21));\\n series.getData().add(new XYChart.Data<>(19 * c, 40));\\n series.getData().add(new XYChart.Data<>(20 * c, 39));\\n series.getData().add(new XYChart.Data<>(21 * c, 36));\\n series.getData().add(new XYChart.Data<>(22 * c, 21));\\n\\n for (int i = 23; i < 30; i++) {\\n int y = rand.nextInt() % 5 + 10;\\n series.getData().add(new XYChart.Data<>(i*5, y));\\n }\\n return series;\\n }\",\n \"public SalesRecord() {\\n super(Sales.SALES);\\n }\",\n \"public Chart initializeChart();\",\n \"public static TickUnitSource createStandardDateTickUnits() {\\n/* 1139 */ return createStandardDateTickUnits(TimeZone.getDefault(), \\n/* 1140 */ Locale.getDefault());\\n/* */ }\",\n \"public Trade() {\\n\\t}\",\n \"public Stock() {\\n // initialize _stock array in max size\\n _stock = new FoodItem[MAX_STOCK_SIZE];\\n // set _noOfItem to 0 - no items yet\\n _noOfItems = 0;\\n }\",\n \"public Stock() {\\n }\",\n \"private DefaultPieDataset getChartDataset() {\\n if (this.pieDataset == null) {\\n pieDataset = new DefaultPieDataset();\\n List<String> model = this.handler.getSchema();\\n model.stream().forEach((key) -> {\\n pieDataset.setValue(key, 0d);\\n });\\n }\\n return pieDataset;\\n }\",\n \"public TradingDayInfo(String ticker, String date, double openingPrice, double highPrice, double lowPrice, double closingPrice) {\\n this.ticker = ticker;\\n this.date = date;\\n this.openingPrice = openingPrice;\\n this.highPrice = highPrice;\\n this.lowPrice = lowPrice;\\n this.closingPrice = closingPrice;\\n \\n \\n return;\\n }\",\n \"private void initializeChart(final List<DateCounter> data)\\n {\\n final XYSeries series = new XYSeries(TITLE_XY_SERIES);\\n\\n //Adding data to the chart\\n addDataToXYSeries(data, series);\\n\\n //Finalizing the chart\\n final XYSeriesCollection coll = new XYSeriesCollection(series);\\n final JFreeChart chart = ChartFactory.createXYLineChart(TITLE_CHART, X_AXIS_TITLE,\\n Y_AXIS_TITLE, coll, PlotOrientation.VERTICAL, true, true, false);\\n final ChartPanel chartPanel = new ChartPanel(chart);\\n chartPanel.setPreferredSize(new java.awt.Dimension(SIZE_CHART_PANEL, SIZE_CHART_PANEL));\\n this.add(chartPanel, BorderLayout.CENTER);\\n }\",\n \"private XYDataset createDataset() {\\n\\t\\tfinal XYSeriesCollection dataset = new XYSeriesCollection( ); \\n\\t\\tdataset.addSeries(trainErrors); \\n\\t\\tdataset.addSeries(testErrors);\\n\\t\\treturn dataset;\\n\\t}\",\n \"private void todayReport() {\\n\\t\\tListSeries dollarEarning = new ListSeries();\\n\\t\\tString[] dates = new String[1];\\n\\t\\t/* Create a DateField with the default style. */\\n Calendar calendar=Calendar.getInstance();\\n\\t\\t\\n\\t\\tvReportDisplayLayout.removeAllComponents();\\n\\t\\tdates[0] = String.valueOf(calendar.get(Calendar.MONTH)+1) + \\\"/\\\" + \\n\\t\\t\\t\\tString.valueOf(calendar.get(Calendar.DATE)) + \\\"/\\\" + \\n\\t\\t\\t\\tString.valueOf(calendar.get(Calendar.YEAR));\\n\\t\\tdollarEarning = getTodayData();\\n\\t\\t\\n\\t\\tdisplayChart chart = new displayChart();\\n\\t\\t\\n\\t\\tdReportPanel.setContent(chart.getDisplayChart(dates, dollarEarning));\\n\\t\\tvReportDisplayLayout.addComponent(dReportPanel);\\n\\t}\",\n \"public static LogEvent createEmptyEvent()\\n\\t{\\n\\t\\treturn new LogEvent();\\n\\t}\",\n \"Series<double[]> makeSeries(int dimension);\",\n \"public WebhookTriggerSeries() {\\n this(DSL.name(\\\"webhook_trigger_series\\\"), null);\\n }\",\n \"QuoteItem createQuoteItem();\",\n \"public StockExchange()\\n {\\n stocks = new ArrayList<Stock>();\\n }\",\n \"private static XYDataset createDataset(Double[] x, Double[] y) {\\n\\t\\tlogger.info(\\\"Creating Dataset\\\");\\n\\t\\tXYSeries s1 = new XYSeries(Double.valueOf(1));\\n\\t\\tif (x.length != y.length) {\\n\\t\\t\\tlogger.error(\\\"Error in createDataset of ScatterDialog. \\\" +\\n\\t\\t\\t\\t\\t\\\"Could not create a dataset for the scatter plot -- missing data\\\");\\n\\t\\t\\treturn null;\\n\\t\\t}\\n\\t\\tfor (int i = 0; i < x.length; i++) {\\n\\t\\t\\tif (y[i] != null) {\\n\\t\\t\\t\\ts1.add(x[i], y[i]);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tXYSeriesCollection dataset = new XYSeriesCollection();\\n\\t\\tdataset.addSeries(s1);\\n\\t\\treturn dataset;\\n\\t}\",\n \"private void onCreateMoneyXYPlot(DateDoubleSeries coffeeExpenditureSeries, DateDoubleSeries teaExpenditureSeries) {\\n // refreshes the chart (it will be loaded with default vals at this point)\\n moneyXYPlot.clear();\\n moneyXYPlot.redraw();\\n\\n // default graph: supports y from $0.00 to $20.00 in increments of $2.50, but this can be\\n // overridden by very large values, in which case it's MAX_VALUE rounded to next\\n // increment of $2.50, in increments of MAX_VALUE / 8\\n double maxRange = 20;\\n double maxYValue = Double.max(coffeeExpenditureSeries.getMaxYValue(), teaExpenditureSeries.getMaxYValue());\\n if (maxYValue > 20) {\\n if (maxYValue % 5 != 0) maxRange = maxYValue + (5 - (maxYValue % 5));\\n else maxRange = maxYValue;\\n }\\n\\n // formatting: add extra vals at beg/end (7 days +1 on each end = 9) to create a margin for the bars\\n moneyXYPlot.setRangeStep(StepMode.SUBDIVIDE, 8);\\n moneyXYPlot.setRangeBoundaries(0, maxRange, BoundaryMode.FIXED);\\n moneyXYPlot.setDomainStep(StepMode.SUBDIVIDE, 10);\\n\\n // format the lines (color, smoothing, removing fill)\\n LineAndPointFormatter coffeeLineFormatter = new LineAndPointFormatter(Color.parseColor(\\\"#ac9782\\\"),\\n null, null, null);\\n coffeeLineFormatter.getLinePaint().setStrokeWidth(8);\\n coffeeLineFormatter.setInterpolationParams(new CatmullRomInterpolator.Params(20,\\n CatmullRomInterpolator.Type.Centripetal)); // smooths out the lines\\n coffeeLineFormatter.setFillPaint(null); // to prevent lines from filling .. may break in the future?\\n LineAndPointFormatter teaLineFormatter = new LineAndPointFormatter(Color.parseColor(\\\"#4d7d55\\\"),\\n null, null, null);\\n teaLineFormatter.getLinePaint().setStrokeWidth(8);\\n teaLineFormatter.setInterpolationParams(new CatmullRomInterpolator.Params(20,\\n CatmullRomInterpolator.Type.Centripetal)); // smooths out the lines\\n teaLineFormatter.setFillPaint(null);\\n\\n moneyXYPlot.addSeries(coffeeExpenditureSeries, coffeeLineFormatter);\\n moneyXYPlot.addSeries(teaExpenditureSeries, teaLineFormatter);\\n\\n // initialize line and point renderer (must be done after set formatter and add series to the plot)\\n moneyXYPlotRenderer = moneyXYPlot.getRenderer(LineAndPointRenderer.class);\\n\\n // X-AXIS = date values, formatted as \\\"10/27\\\"\\n moneyXYPlot.getGraph().getLineLabelStyle(XYGraphWidget.Edge.BOTTOM).setFormat(new xAxisDateFormat());\\n\\n // Y-AXIS = dollar values, formatted as \\\"$50\\\"\\n moneyXYPlot.getGraph().getLineLabelStyle(XYGraphWidget.Edge.LEFT).setFormat(new Format() {\\n @Override\\n public StringBuffer format(Object obj, StringBuffer toAppendTo, FieldPosition pos) {\\n // trying to format #'s like $13.50, but doesn't work for numbers ending in .0\\n // double number = Double.parseDouble(String.format(\\\"%.2f\\\", ((Number) obj).doubleValue()));\\n int number = ((Number) obj).intValue();\\n return new StringBuffer(\\\"$\\\" + number);\\n }\\n\\n @Override\\n public Number parseObject(String string, ParsePosition position) {\\n throw new UnsupportedOperationException(\\\"Not yet implemented.\\\");\\n }\\n });\\n }\",\n \"private DefaultCategoryDataset createDataset() {\\n\\t\\t\\n\\t\\tdataset.clear();\\n\\t\\t\\n\\t\\t// Query HIM to submit data for bar chart display \\n\\t\\tHistoricalInfoMgr.getChartDataset(expNum);\\n\\n\\n\\t\\treturn dataset; // add the data point (y-value, variable, x-value)\\n\\t}\",\n \"protected BasicOrderedSeries( final BasicOrderedSeries< V > series )\\n\\t{\\n\\t\\tsuper( series );\\n\\t}\",\n \"@Override\\n\\tpublic int getDatapointSeriesCount() {\\n\\t\\treturn 0;\\n\\t}\",\n \"SeriesType createSeriesType();\",\n \"private void initChart() {\\n Cartesian cartesian = AnyChart.line();\\n\\n cartesian.animation(true);\\n\\n cartesian.padding(10d, 20d, 5d, 20d);\\n\\n cartesian.crosshair().enabled(true);\\n cartesian.crosshair()\\n .yLabel(true)\\n // TODO ystroke\\n .yStroke((Stroke) null, null, null, (String) null, (String) null);\\n\\n cartesian.tooltip().positionMode(TooltipPositionMode.POINT);\\n\\n cartesian.title(\\\"Steps taken in this week and last week\\\");\\n\\n cartesian.yAxis(0).title(\\\"Steps\\\");\\n cartesian.xAxis(0).labels().padding(5d, 5d, 5d, 5d);\\n\\n List<DataEntry> seriesData = new ArrayList<>();\\n Log.d(\\\"Size This Week\\\",stepsTakenModelsThisWeek.size()+\\\"\\\");\\n for(int i = 0 ; i<7 ; i++){\\n CustomDataEntry c = new CustomDataEntry(days[i],stepsTakenModelsLastWeek.get(i).getSteps());\\n if(i<stepsTakenModelsThisWeek.size()){\\n c.setValue(\\\"value2\\\",stepsTakenModelsThisWeek.get(i).getSteps());\\n }else{\\n if(DateUtilities.getDayInAbbBySelectedDate(stepsTakenModelsLastWeek.get(i).getDate()).equals(\\n DateUtilities.getCurrentDayInAbb()))\\n {\\n c.setValue(\\\"value2\\\",stepsToday);\\n }else{\\n c.setValue(\\\"value2\\\",0);\\n }\\n }\\n seriesData.add(c);\\n }\\n\\n Set set = Set.instantiate();\\n set.data(seriesData);\\n Mapping series1Mapping = set.mapAs(\\\"{ x: 'x', value: 'value' }\\\");\\n Mapping series2Mapping = set.mapAs(\\\"{ x: 'x', value: 'value2' }\\\");\\n\\n Line series1 = cartesian.line(series1Mapping);\\n series1.name(\\\"Last Week\\\");\\n series1.hovered().markers().enabled(true);\\n series1.hovered().markers()\\n .type(MarkerType.CIRCLE)\\n .size(4d);\\n series1.tooltip()\\n .position(\\\"right\\\")\\n .anchor(Anchor.LEFT_CENTER)\\n .offsetX(5d)\\n .offsetY(5d);\\n\\n Line series2 = cartesian.line(series2Mapping);\\n series2.name(\\\"This Week\\\");\\n series2.hovered().markers().enabled(true);\\n series2.hovered().markers()\\n .type(MarkerType.CIRCLE)\\n .size(4d);\\n series2.tooltip()\\n .position(\\\"right\\\")\\n .anchor(Anchor.LEFT_CENTER)\\n .offsetX(5d)\\n .offsetY(5d);\\n\\n\\n cartesian.legend().enabled(true);\\n cartesian.legend().fontSize(13d);\\n cartesian.legend().padding(0d, 0d, 10d, 0d);\\n\\n chart.setChart(cartesian);\\n }\",\n \"public Stock(String sym)\\n\\t{\\n\\t\\tthis(sym, 0);\\n\\t}\",\n \"public DailyMessagesChart(final String title, final List<DateCounter> data)\\n {\\n super(title);\\n initializeChart(data);\\n }\",\n \"private static KafkaUserQuotas emptyQuotas() {\\n KafkaUserQuotas emptyQuotas = new KafkaUserQuotas();\\n emptyQuotas.setProducerByteRate(null);\\n emptyQuotas.setConsumerByteRate(null);\\n emptyQuotas.setRequestPercentage(null);\\n emptyQuotas.setControllerMutationRate(null);\\n\\n return emptyQuotas;\\n }\",\n \"public SlotSeries build() {\\n if (this.configuredSlots.size() == 0) {\\n return new SlotSeries(new ArrayList<>(0));\\n }\\n\\n final int slotCount = configuredSlots.lastKey() + 1;\\n final List<Integer> slotList = new ArrayList<>(slotCount);\\n\\n for (int slotIndex = 0; slotIndex < slotCount; slotIndex++) {\\n slotList.add(\\n slotIndex,\\n this.configuredSlots.getOrDefault(slotIndex, 0));\\n }\\n\\n return new SlotSeries(slotList);\\n }\",\n \"private void setupDailyBarChart() {\\r\\n BarChart chart = findViewById(R.id.chart);\\r\\n chart.getDescription().setEnabled(false);\\r\\n chart.setExtraOffsets(0, 0, 0, 10);\\r\\n chart.setNoDataText(getResources().getString(R.string.loading_graph));\\r\\n chart.getPaint(Chart.PAINT_INFO).setTextSize(Utils.convertDpToPixel(16f));\\r\\n chart.getLegend().setEnabled(false);\\r\\n\\r\\n // Show time on x-axis at three hour intervals\\r\\n XAxis xAxis = chart.getXAxis();\\r\\n xAxis.setValueFormatter(new IAxisValueFormatter() {\\r\\n @Override\\r\\n public String getFormattedValue(float value, AxisBase axis) {\\r\\n int valueInt = (int) value;\\r\\n if(valueInt == 0) {\\r\\n return \\\"12am\\\";\\r\\n } else if(valueInt > 0 && valueInt < 12) {\\r\\n return valueInt + \\\"am\\\";\\r\\n } else if(valueInt == 12) {\\r\\n return \\\"12pm\\\";\\r\\n } else {\\r\\n return (valueInt - 12) + \\\"pm\\\";\\r\\n }\\r\\n }\\r\\n });\\r\\n\\r\\n xAxis.setPosition(XAxis.XAxisPosition.BOTTOM);\\r\\n xAxis.setDrawGridLines(false);\\r\\n xAxis.setTextSize(14f);\\r\\n // show label for every three hours\\r\\n xAxis.setGranularity(3.0f);\\r\\n xAxis.setLabelCount(8);\\r\\n xAxis.setGranularityEnabled(true);\\r\\n\\r\\n // Show non-sedentary hours on left y-axis\\r\\n YAxis yAxisLeft = chart.getAxisLeft();\\r\\n yAxisLeft.setAxisMinimum(0f);\\r\\n yAxisLeft.setTextSize(14f);\\r\\n yAxisLeft.setGranularity(1.0f); // show integer values on y axis\\r\\n yAxisLeft.setGranularityEnabled(true);\\r\\n\\r\\n YAxis yAxisRight = chart.getAxisRight();\\r\\n yAxisRight.setEnabled(false);\\r\\n }\",\n \"public DataTable() {\\n\\n\\t\\t// In this application, we use HashMap data structure defined in\\n\\t\\t// java.util.HashMap\\n\\t\\tdc = new HashMap<String, DataColumn>();\\n\\t}\",\n \"public XYSeries(String name) {\\n\\t\\tthis.name = name;\\n\\t\\tpointList = new ArrayList<Point2D>(1024);\\n\\t}\",\n \"public TradeList() {\\n this.trades = new ArrayList<>();\\n }\",\n \"public java.util.List<Series> getSeries() { \\n\\t\\tif (mySeries == null) {\\n\\t\\t\\tmySeries = new java.util.ArrayList<Series>();\\n\\t\\t}\\n\\t\\treturn mySeries;\\n\\t}\",\n \"public CoreChart()\\n {\\n super(\\\"org.apache.myfaces.trinidad.Chart\\\");\\n }\",\n \"static Set createEmpty() {\\n return new EmptySet();\\n }\",\n \"public Series addSeries() {\\n\\t\\tSeries newType = new Series();\\n\\t\\tgetSeries().add(newType);\\n\\t\\treturn newType; \\n\\t}\",\n \"public FillDate() {\\n }\",\n \"public HighLowChart() {\\n }\",\n \"private Object createDataset(final ChartConfiguration config) {\\n final CategoryChart chart = (CategoryChart) config.chart;\\n for (final Fields key: config.fields) {\\n chart.addSeries(key.getLocalizedName(), new double[1], new double[1]);\\n }\\n populateDataset(config);\\n return null;\\n }\",\n \"public BreweriesAdapter() {\\n }\",\n \"public LocalDateAdapter() {\\r\\n\\t\\tsuper();\\r\\n\\t}\",\n \"public DateList() {\\n DateNode ln = new DateNode(null);\\n first = ln;\\n last = ln;\\n }\",\n \"private JFreeChart createChart ( final XYDataset dataset1, final XYDataset dataset2 ) {\\n final JFreeChart result = ChartFactory.createTimeSeriesChart( null, \\\"\\\", \\\"\\\", dataset1, true, true, false );\\n final XYPlot plot = result.getXYPlot();\\n final XYItemRenderer renderer1 = new XYLineAndShapeRenderer( true, false );\\n final XYItemRenderer renderer2 = new XYLineAndShapeRenderer( true, false );\\n plot.setDomainPannable( true );\\n plot.setRangePannable( true );\\n plot.setDataset( SPEED_SERIES_DATASET, dataset2 );\\n plot.mapDatasetToRangeAxis( SPEED_SERIES_DATASET, SPEED_SERIES_DATASET );\\n plot.setRenderer( SPEED_SERIES_DATASET, renderer1 );\\n plot.setDataset( POSITION_SERIES_DATASET, dataset1 );\\n plot.mapDatasetToRangeAxis( POSITION_SERIES_DATASET, POSITION_SERIES_DATASET );\\n plot.setRenderer( POSITION_SERIES_DATASET, renderer2 );\\n plot.setBackgroundPaint( StartUI.MAIN_BACKGROUND_COLOR );\\n plot.setDomainGridlinePaint( Color.decode(\\\"0x3b4246\\\") );\\n plot.setRangeGridlinePaint( Color.decode(\\\"0x3b4246\\\") );\\n plot.setRangeGridlineStroke( new BasicStroke( 0.8f, BasicStroke.CAP_BUTT, BasicStroke.JOIN_BEVEL ) );\\n plot.setDomainGridlineStroke( new BasicStroke( 0.8f, BasicStroke.CAP_BUTT, BasicStroke.JOIN_BEVEL ) );\\n renderer1.setSeriesPaint( 0, Color.decode( \\\"#AAFF44\\\" ) );\\n renderer2.setSeriesPaint( 0, Color.decode( \\\"#EEDD00\\\" ) );\\n result.setBackgroundPaint( null );\\n result.removeLegend();\\n return result;\\n }\",\n \"private CreateScanRetentionTimeQCPlotData(){}\",\n \"public java.util.List<SeriesInstance> getInstance() { \\n\\t\\tif (myInstance == null) {\\n\\t\\t\\tmyInstance = new java.util.ArrayList<SeriesInstance>();\\n\\t\\t}\\n\\t\\treturn myInstance;\\n\\t}\",\n \"public DateAxis(String label, TimeZone zone, Locale locale) {\\n/* 402 */ super(label, createStandardDateTickUnits(zone, locale));\\n/* 403 */ this.tickUnit = new DateTickUnit(DateTickUnitType.DAY, true, new SimpleDateFormat());\\n/* */ \\n/* 405 */ setAutoRangeMinimumSize(2.0D);\\n/* */ \\n/* 407 */ setRange(DEFAULT_DATE_RANGE, false, false);\\n/* 408 */ this.dateFormatOverride = null;\\n/* 409 */ this.timeZone = zone;\\n/* 410 */ this.locale = locale;\\n/* 411 */ this.timeline = DEFAULT_TIMELINE;\\n/* */ }\",\n \"public SimpleDataPointImpl(DataSet dataSet){\\n\\t\\tvalues = new HashMap<String, Double>();\\n\\t\\tmDataSet = dataSet;\\n\\t}\",\n \"public static Query empty() {\\n return new Query();\\n }\",\n \"public static Metrics createDetached() {\\n return new Metrics();\\n }\",\n \"public Builder clearStocks() {\\n if (stocksBuilder_ == null) {\\n stocks_ = java.util.Collections.emptyList();\\n bitField0_ = (bitField0_ & ~0x00000001);\\n onChanged();\\n } else {\\n stocksBuilder_.clear();\\n }\\n return this;\\n }\",\n \"public QuantDataHashTable() {\\n\\t\\t\\n\\t\\tquantData = new Hashtable<String, Double>();\\n\\t\\t\\n\\t}\",\n \"public DanceChart build();\",\n \"public Quote(String ticker, String idfinam) {\\n this.ticker = ticker;\\n this.idfinam = idfinam;\\n }\",\n \"public HourlyRecord() {\\n\\t\\tthis(\\\"hourly_record\\\", null);\\n\\t}\",\n \"public static SupplyStock createEntity(EntityManager em) {\\n SupplyStock supplyStock = new SupplyStock()\\n .name(DEFAULT_NAME)\\n .amount(DEFAULT_AMOUNT);\\n return supplyStock;\\n }\",\n \"public static < T > BasicOrderedSeries< T > copy( final BasicOrderedSeries< T > series )\\n\\t{\\n\\t\\tRequire.notNull( series );\\n\\t\\tfinal BasicOrderedSeries< T > copy = new BasicOrderedSeries< T >( series.size() );\\n\\t\\t\\n\\t\\tfor( BasicOrderedSeries.Entry< Double, T > entry : series )\\n\\t\\t{\\n\\t\\t\\tcopy.add( entry.getKey(), entry.getElement() );\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn copy;\\n\\t}\",\n \"public UIXChart()\\n {\\n super(\\\"org.apache.myfaces.trinidad.Chart\\\");\\n }\",\n \"public Quarter() { // note: null fields exist for this option\\n courses = new ArrayList<Course>();\\n }\",\n \"private XYMultipleSeriesDataset getdemodataset() {\\n\\t\\t\\tdataset1 = new XYMultipleSeriesDataset();// xy轴数据源\\n\\t\\t\\tseries = new XYSeries(\\\"温度 \\\");// 这个事是显示多条用的，显不显示在上面render设置\\n\\t\\t\\t// 这里相当于初始化，初始化中无需添加数据，因为如果这里添加第一个数据的话，\\n\\t\\t\\t// 很容易使第一个数据和定时器中更新的第二个数据的时间间隔不为两秒，所以下面语句屏蔽\\n\\t\\t\\t// 这里可以一次更新五个数据，这样的话相当于开始的时候就把五个数据全部加进去了，但是数据的时间是不准确或者间隔不为二的\\n\\t\\t\\t// for(int i=0;i<5;i++)\\n\\t\\t\\t// series.add(1, Math.random()*10);//横坐标date数据类型，纵坐标随即数等待更新\\n\\n\\t\\t\\tdataset1.addSeries(series);\\n\\t\\t\\treturn dataset1;\\n\\t\\t}\",\n \"QuoteType createQuoteType();\",\n \"private XYSeries createSeries(int scaleIndex) {\\r\\n // TODO: Bubble and time graphs ought to respect scaleIndex, but XYValueSeries\\r\\n // and TimeSeries don't expose the (String title, int scaleNumber) constructor.\\r\\n if (scaleIndex > 0 && !Graph.TYPE_XY.equals(mData.getType())) {\\r\\n throw new IllegalArgumentException(\\\"This series does not support a secondary y axis\\\");\\r\\n }\\r\\n\\r\\n if (Graph.TYPE_TIME.equals(mData.getType())) {\\r\\n return new TimeSeries(\\\"\\\");\\r\\n }\\r\\n if (Graph.TYPE_BUBBLE.equals(mData.getType())) {\\r\\n return new RangeXYValueSeries(\\\"\\\");\\r\\n }\\r\\n return new XYSeries(\\\"\\\", scaleIndex);\\r\\n }\",\n \"private void createChart() {\\n\\t\\tchartSpace = CTChartSpace.Factory.newInstance();\\n\\t\\tchart = chartSpace.addNewChart();\\n\\t\\tCTPlotArea plotArea = chart.addNewPlotArea();\\n\\n\\t\\tplotArea.addNewLayout();\\n\\t\\tchart.addNewPlotVisOnly().setVal(true);\\n\\n\\t\\tCTPrintSettings printSettings = chartSpace.addNewPrintSettings();\\n\\t\\tprintSettings.addNewHeaderFooter();\\n\\n\\t\\tCTPageMargins pageMargins = printSettings.addNewPageMargins();\\n\\t\\tpageMargins.setB(0.75);\\n\\t\\tpageMargins.setL(0.70);\\n\\t\\tpageMargins.setR(0.70);\\n\\t\\tpageMargins.setT(0.75);\\n\\t\\tpageMargins.setHeader(0.30);\\n\\t\\tpageMargins.setFooter(0.30);\\n\\t\\tprintSettings.addNewPageSetup();\\n\\t}\",\n \"public CellaredDrink() {\\n\\t\\tthis(\\\"cellared_drink\\\", null);\\n\\t}\",\n \"public RDataframe() {\\n\\t\\tsuper();\\n\\t}\",\n \"QuoteTerm createQuoteTerm();\",\n \"QuoteNote createQuoteNote();\",\n \"public TbStock() {\\r\\n\\t\\tsuper();\\r\\n\\t}\",\n \"public OrderLine() {\\n products = new ArrayList<>();\\n price = new BigDecimal(0);\\n }\",\n \"@Override\\n public EventData next() {\\n StockTick tick = new StockTick(names[RandomHelper.getIntFromRange(0, 4)]);\\n tick.setTime(System.currentTimeMillis());\\n tick.setPrice(MathHelper.getDouble(RandomHelper.getDoubleFromRange(34, 39), \\\"#.##\\\"));\\n\\n Map<String, Object> dataMap = new HashMap<>();\\n dataMap.put(\\\"stockSymbol\\\", tick.getStockSymbol());\\n dataMap.put(\\\"price\\\", tick.getPrice());\\n dataMap.put(\\\"time\\\", tick.getTime());\\n\\n EventData edata = new EventData(\\\"StockTick\\\", dataMap);\\n edata.addData(\\\"stockSymbol\\\", tick.getStockSymbol());\\n edata.addData(\\\"price\\\", tick.getPrice());\\n edata.addData(\\\"time\\\", tick.getTime());\\n return edata;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.66558605","0.60162497","0.6010112","0.57146883","0.56819767","0.54534674","0.54357696","0.53980863","0.5316092","0.529453","0.5289731","0.5283593","0.5273274","0.5261185","0.52505434","0.52478236","0.5228155","0.5222818","0.52124697","0.5108033","0.5105942","0.50713104","0.5066853","0.5046466","0.50369614","0.50348216","0.50042886","0.49828315","0.49634302","0.49529657","0.49480304","0.49440968","0.4940839","0.49198198","0.49146572","0.48988584","0.48848417","0.48753616","0.4871647","0.48708364","0.48615712","0.48455837","0.4838955","0.48364547","0.4812503","0.4811995","0.47966427","0.47634748","0.47545153","0.47539872","0.47453126","0.47438577","0.47423977","0.4736797","0.47300637","0.47217155","0.47028202","0.47022343","0.46969363","0.46876466","0.4680855","0.46726704","0.4664134","0.46626726","0.46302915","0.4612686","0.46126306","0.460962","0.45957074","0.45932615","0.4585442","0.458388","0.45834497","0.45814833","0.45807332","0.45774987","0.4575833","0.45754078","0.4559568","0.45562443","0.4553501","0.45430025","0.45425883","0.45419976","0.45330504","0.4531388","0.45266977","0.45210323","0.45142433","0.45110276","0.45107865","0.45054883","0.45036873","0.45000556","0.4499403","0.44976455","0.4493078","0.4491523","0.44911164","0.44907743"],"string":"[\n \"0.66558605\",\n \"0.60162497\",\n \"0.6010112\",\n \"0.57146883\",\n \"0.56819767\",\n \"0.54534674\",\n \"0.54357696\",\n \"0.53980863\",\n \"0.5316092\",\n \"0.529453\",\n \"0.5289731\",\n \"0.5283593\",\n \"0.5273274\",\n \"0.5261185\",\n \"0.52505434\",\n \"0.52478236\",\n \"0.5228155\",\n \"0.5222818\",\n \"0.52124697\",\n \"0.5108033\",\n \"0.5105942\",\n \"0.50713104\",\n \"0.5066853\",\n \"0.5046466\",\n \"0.50369614\",\n \"0.50348216\",\n \"0.50042886\",\n \"0.49828315\",\n \"0.49634302\",\n \"0.49529657\",\n \"0.49480304\",\n \"0.49440968\",\n \"0.4940839\",\n \"0.49198198\",\n \"0.49146572\",\n \"0.48988584\",\n \"0.48848417\",\n \"0.48753616\",\n \"0.4871647\",\n \"0.48708364\",\n \"0.48615712\",\n \"0.48455837\",\n \"0.4838955\",\n \"0.48364547\",\n \"0.4812503\",\n \"0.4811995\",\n \"0.47966427\",\n \"0.47634748\",\n \"0.47545153\",\n \"0.47539872\",\n \"0.47453126\",\n \"0.47438577\",\n \"0.47423977\",\n \"0.4736797\",\n \"0.47300637\",\n \"0.47217155\",\n \"0.47028202\",\n \"0.47022343\",\n \"0.46969363\",\n \"0.46876466\",\n \"0.4680855\",\n \"0.46726704\",\n \"0.4664134\",\n \"0.46626726\",\n \"0.46302915\",\n \"0.4612686\",\n \"0.46126306\",\n \"0.460962\",\n \"0.45957074\",\n \"0.45932615\",\n \"0.4585442\",\n \"0.458388\",\n \"0.45834497\",\n \"0.45814833\",\n \"0.45807332\",\n \"0.45774987\",\n \"0.4575833\",\n \"0.45754078\",\n \"0.4559568\",\n \"0.45562443\",\n \"0.4553501\",\n \"0.45430025\",\n \"0.45425883\",\n \"0.45419976\",\n \"0.45330504\",\n \"0.4531388\",\n \"0.45266977\",\n \"0.45210323\",\n \"0.45142433\",\n \"0.45110276\",\n \"0.45107865\",\n \"0.45054883\",\n \"0.45036873\",\n \"0.45000556\",\n \"0.4499403\",\n \"0.44976455\",\n \"0.4493078\",\n \"0.4491523\",\n \"0.44911164\",\n \"0.44907743\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6124297"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":19780,"cells":{"query":{"kind":"string","value":"Creates a new instance of DailyQuoteSeries from a collection."},"document":{"kind":"string","value":"public Series(Collection<Integer> series)\n {\n readCollection(series);\n }"},"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 XYDataset createDataset() {\n final XYSeriesCollection dataset = new XYSeriesCollection();\n //dataset.addSeries(totalDemand);\n dataset.addSeries(cerContent);\n //dataset.addSeries(cerDemand);\n dataset.addSeries(comContent);\n //dataset.addSeries(comDemand);\n dataset.addSeries(activation);\n dataset.addSeries(resolutionLevel);\n \n return dataset;\n }","private XYSeries createSeries() {\r\n return createSeries(0);\r\n }","private TaskSeriesCollection createCollection1() {\n TaskSeriesCollection result = new TaskSeriesCollection();\n TaskSeries s1 = new TaskSeries(\"S1\");\n s1.add(new Task(\"Task 1\", new Date(1), new Date(2)));\n s1.add(new Task(\"Task 2\", new Date(3), new Date(4)));\n result.add(s1);\n TaskSeries s2 = new TaskSeries(\"S2\");\n s2.add(new Task(\"Task 3\", new Date(5), new Date(6)));\n result.add(s2);\n return result;\n }","public Series( String name, SortedMap<String, Long> dateCounters ) {\n\t\tthis.name = name;\n\t\tthis.type = DEFAULT_TYPE;\n\t\tdata = new ArrayList<Double[]>();\n\t\tfor ( Entry<String, Long> dateCounter : dateCounters.entrySet() ) {\n\t\t\tlong timestamp = DateConverter.dateStringToTimestamp( dateCounter.getKey() );\n\t\t\tdata.add( new Double [] { new Double(timestamp), new Double(dateCounter.getValue()) } );\n\t\t}\n\t}","public Series () {\n super();\n this.price = RandomFill.generateNumber(5,15);\n this.listSeason = RandomFill.generateListSeason();\n }","public Series()\n {\n super();\n }","public StoredDay(LocalDate date) {\n this.date = date;\n this.recipes = new StoredRecipe[0];\n }","Series<double[]> makeSeries(int dimension);","public EventAdapter(ArrayList<Event> myDataset) {\n\t\tmDataset = myDataset;\n\t}","private TaskSeriesCollection createCollection3() {\n Task sub1 = new Task(\"Sub1\", new Date(11), new Date(111));\n Task sub2 = new Task(\"Sub2\", new Date(22), new Date(222));\n Task sub3 = new Task(\"Sub3\", new Date(33), new Date(333));\n Task sub4 = new Task(\"Sub4\", new Date(44), new Date(444));\n Task sub5 = new Task(\"Sub5\", new Date(55), new Date(555));\n Task sub6 = new Task(\"Sub6\", new Date(66), new Date(666));\n sub1.setPercentComplete(0.111);\n sub2.setPercentComplete(0.222);\n sub3.setPercentComplete(0.333);\n sub4.setPercentComplete(0.444);\n sub5.setPercentComplete(0.555);\n sub6.setPercentComplete(0.666);\n TaskSeries seriesA = new TaskSeries(\"Series A\");\n Task taskA1 = new Task(\"Task 1\", new SimpleTimePeriod(new Date(100), new Date(200)));\n taskA1.setPercentComplete(0.1);\n taskA1.addSubtask(sub1);\n Task taskA2 = new Task(\"Task 2\", new SimpleTimePeriod(new Date(220), new Date(350)));\n taskA2.setPercentComplete(0.2);\n taskA2.addSubtask(sub2);\n taskA2.addSubtask(sub3);\n seriesA.add(taskA1);\n seriesA.add(taskA2);\n TaskSeries seriesB = new TaskSeries(\"Series B\");\n Task taskB2 = new Task(\"Task 2\", new SimpleTimePeriod(new Date(2220), new Date(3350)));\n taskB2.setPercentComplete(0.3);\n taskB2.addSubtask(sub4);\n taskB2.addSubtask(sub5);\n taskB2.addSubtask(sub6);\n seriesB.add(taskB2);\n TaskSeriesCollection tsc = new TaskSeriesCollection();\n tsc.add(seriesA);\n tsc.add(seriesB);\n return tsc;\n }","private Object createDataset(final ChartConfiguration config) {\n final CategoryChart chart = (CategoryChart) config.chart;\n for (final Fields key: config.fields) {\n chart.addSeries(key.getLocalizedName(), new double[1], new double[1]);\n }\n populateDataset(config);\n return null;\n }","public static < T > BasicOrderedSeries< T > copy( final BasicOrderedSeries< T > series )\n\t{\n\t\tRequire.notNull( series );\n\t\tfinal BasicOrderedSeries< T > copy = new BasicOrderedSeries< T >( series.size() );\n\t\t\n\t\tfor( BasicOrderedSeries.Entry< Double, T > entry : series )\n\t\t{\n\t\t\tcopy.add( entry.getKey(), entry.getElement() );\n\t\t}\n\t\t\n\t\treturn copy;\n\t}","public DateAxis() { this(null); }","public Series( String name, SortedMap<String, Long> dateCounters, SortedMap<String, Long> totalCounters ) {\n\t\tthis.name = name;\n\t\tthis.type = DEFAULT_TYPE;\n\t\tdata = new ArrayList<Double[]>();\n\t\tfor ( Entry<String, Long> dateCounter : dateCounters.entrySet() ) {\n\t\t\tlong timestamp = DateConverter.dateStringToTimestamp( dateCounter.getKey() );\n\t\t\t// get the total count for this date\n\t\t\tlong total = totalCounters.get( dateCounter.getKey() );\n\t\t\t// Avoid a divide by 0 if we simply don't have data for this time\n\t\t\tif ( total != 0 ) {\n\t\t\t\tdata.add( new Double [] { new Double(timestamp), new Double((double)dateCounter.getValue() / (double)total) * 100d } );\n\t\t\t}\n\t\t\telse {\n\t\t\t\tdata.add( new Double [] { new Double(timestamp), 0d } );\n\t\t\t}\n\t\t}\n\t}","public BasicOrderedSeries()\n\t{\n\t\tsuper();\n\t}","private static MarketDataSet createTestMarketData() {\n final MarketDataSet dataSet = MarketDataSet.empty();\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \"AUDUSD\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)), 1.8);\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \"NZDUSD\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)), 2.2);\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \"GBPUSD\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)), 1.5);\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \"GBP1Y\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)),\n ImmutableLocalDateDoubleTimeSeries.builder()\n .putAll(new LocalDate[] {LocalDate.of(2016, 1, 1), LocalDate.of(2016, 1, 2)}, new double[] {0.01, 0.02}).build());\n return dataSet;\n }","private XYDataset createDataset() {\n\t\tfinal XYSeriesCollection dataset = new XYSeriesCollection( ); \n\t\tdataset.addSeries(trainErrors); \n\t\tdataset.addSeries(testErrors);\n\t\treturn dataset;\n\t}","public StockRecyclerViewAdapter(ArrayList<StockData> myDataset) {\n mDataset = myDataset;\n }","ArrayList<Serie> getSeries(){\n\n Uri builtUri = Uri.parse(seriesURL)\n .buildUpon()\n .build();\n String url = builtUri.toString();\n\n return doCallSerie(url);\n }","static <R,C> DataFrame<R,C> ofDoubles(Iterable<R> rowKeys, C colKey) {\n return DataFrame.factory().from(rowKeys, Index.singleton(colKey), Double.class);\n }","public SeriesModel(String title, LinkedHashMap<String, Episode> episodes) {\n\t\tsuper(title, episodes);\n\t}","protected abstract Set<Event> createEvents(String[] dataset);","private ListSeries getTodayData() {\n\t\tListSeries dollarEarning = new ListSeries();\n\t\tdouble number = 0;\n\t\tnumber = controler.getTodaysTransactionSummary();\n\t\tdollarEarning.addData(number);\n\t\t\n\t\treturn dollarEarning;\n\t}","private void createChart() {\n LineChart lineChart = (LineChart) findViewById(R.id.line_chart);\n\n // LineChart DataSet\n ArrayList<LineDataSet> dataSets = new ArrayList<>();\n\n // x-coordinate format value\n XAxis xAxis = lineChart.getXAxis();\n xAxis.setPosition(XAxis.XAxisPosition.BOTTOM);\n xAxis.setGranularity(1f); // only intervals of 1 day\n// xAxis.setValueFormatter(new DayAxisValueFormatter(lineChart));\n\n\n // x-coordinate value\n ArrayList<String> xValues = new ArrayList<>();\n xValues.add(\"No.1\");\n xValues.add(\"No.2\");\n xValues.add(\"No.3\");\n xValues.add(\"No.4\");\n xValues.add(\"No.5\");\n\n // value\n ArrayList<Entry> value = new ArrayList<>();\n String measureItemName = \"\";\n value.add(new Entry(100, 0));\n value.add(new Entry(120, 1));\n value.add(new Entry(150, 2));\n value.add(new Entry(250, 3));\n value.add(new Entry(500, 4));\n\n\n // add value to LineChart's DataSet\n LineDataSet valueDataSet = new LineDataSet(value, measureItemName);\n dataSets.add(valueDataSet);\n\n // set LineChart's DataSet to LineChart\n// lineChart.setData(new LineData(xValues, dataSets));\n lineChart.setData(new LineData(valueDataSet));\n }","private static XYDataset createDataset(Double[] x, Double[] y) {\n\t\tlogger.info(\"Creating Dataset\");\n\t\tXYSeries s1 = new XYSeries(Double.valueOf(1));\n\t\tif (x.length != y.length) {\n\t\t\tlogger.error(\"Error in createDataset of ScatterDialog. \" +\n\t\t\t\t\t\"Could not create a dataset for the scatter plot -- missing data\");\n\t\t\treturn null;\n\t\t}\n\t\tfor (int i = 0; i < x.length; i++) {\n\t\t\tif (y[i] != null) {\n\t\t\t\ts1.add(x[i], y[i]);\n\t\t\t}\n\t\t}\n\t\tXYSeriesCollection dataset = new XYSeriesCollection();\n\t\tdataset.addSeries(s1);\n\t\treturn dataset;\n\t}","static <R,C> DataFrame<R,C> ofDoubles(Iterable<R> rowKeys, Iterable<C> colKeys) {\n return DataFrame.factory().from(rowKeys, colKeys, Double.class);\n }","public SalesRecord() {\n super(Sales.SALES);\n }","public Series( String t, String s, String r){\n title = t;\n studio = s;\n rating = r;\n}","public static final AbstractChart getLineChart(XYMultipleSeriesDataset dataset,\n XYMultipleSeriesRenderer renderer) {\n checkParameters(dataset, renderer);\n return new LineChart(dataset, renderer);\n }","public SalesRecords() {\n super();\n }","public CategoryDataset createDataset() {\n\t\tfinal DefaultCategoryDataset dataset = new DefaultCategoryDataset();\n\t\tProjectManagement projectManagement = new ProjectManagement();\n\t\tif (this.chartName == \"Earned Value\") {\n\t\t\tfor (LocalDate date : dateList) {\n\t\t\t\tdataset.addValue(projectManagement.getEarnedValue(date), \"Earned Value\", date);\n\t\t\t}\n\t\t} else if (this.chartName == \"Schedule Variance\") {\n\t\t\tfor (LocalDate date : dateList) {\n\t\t\t\tdataset.addValue(projectManagement.getScheduleVariance(date), \"Schedule Variance\", date);\n\t\t\t}\n\n\t\t} else {// Cost Variance\n\t\t\tfor (LocalDate date : dateList) {\n\t\t\t\tdataset.addValue(projectManagement.getCostVariance(date), \"Cost Variance\", date);\n\t\t\t}\n\t\t}\n\t\treturn dataset;\n\t}","private XYDataset createDataset(String WellID, String lang) {\n final TimeSeries eur = createEURTimeSeries(WellID, lang);\n final TimeSeriesCollection dataset = new TimeSeriesCollection();\n dataset.addSeries(eur);\n return dataset;\n }","public void initSalesList() {\n\n String sql = \"SELECT menu.id_product, menu.name, menu.price,size.size, COUNT(orders_menu.id_order) \"\n + \"FROM menu, orders_menu, orders, size WHERE menu.id_product=orders_menu.id_product \"\n + \"AND orders.id_order=orders_menu.id_order AND orders.id_status=4 \"\n + \"AND size.id_size=menu.id_size GROUP BY menu.id_product\";\n\n Session session = HibernateUtil.getSessionFactory().getCurrentSession();\n\n session.beginTransaction();\n List<Object[]> empDepts = session.createNativeQuery(sql).list();\n\n salesFxObservableList.clear();\n for (Object[] objects : empDepts) {\n SalesFx salesFx = new SalesFx();\n salesFx.setIdProduct((Integer) objects[0]);\n salesFx.setName((String) objects[1]);\n salesFx.setPrice((Integer) objects[2]);\n salesFx.setSize((String) objects[3]);\n BigInteger bigInteger = (BigInteger) objects[4];\n salesFx.setSale(bigInteger.intValue());\n salesFxObservableList.add(salesFx);\n }\n\n session.getTransaction().commit();\n }","public MutualMarketTop10Daily() {\n this(\"mutual_market_top10_daily\", null);\n }","public SurveyAdapter(List<Object> items) {\n this.items = items;\n }","public Series addSeries() {\n\t\tSeries newType = new Series();\n\t\tgetSeries().add(newType);\n\t\treturn newType; \n\t}","@Override\r\n\tpublic List<XChart> bindChart() {\n\t\tList<XChart> lst = new ArrayList<XChart>();\r\n\t\tlst.add(chart);\r\n\t\treturn lst;\r\n\t}","QuoteItem createQuoteItem();","public AlbumSeriesRecord() {\n super(AlbumSeries.ALBUM_SERIES);\n }","public AlbumSeriesRecord(Long pk, Long albumFk, Long seriesFk, Boolean favorite) {\n super(AlbumSeries.ALBUM_SERIES);\n\n set(0, pk);\n set(1, albumFk);\n set(2, seriesFk);\n set(3, favorite);\n }","Quote createQuote();","public interface StockPriceDataSource {\n\n /**\n * daily prices\n * @param date required date, can be today\n * @return list of deals for the day\n */\n List<StockTrade> getDayPrices(LocalDate date) throws IOException;\n}","private TaskSeriesCollection createCollection2() {\n TaskSeriesCollection result = new TaskSeriesCollection();\n TaskSeries s1 = new TaskSeries(\"S1\");\n Task t1 = new Task(\"Task 1\", new Date(10), new Date(20));\n t1.addSubtask(new Task(\"Task 1A\", new Date(10), new Date(15)));\n t1.addSubtask(new Task(\"Task 1B\", new Date(16), new Date(20)));\n t1.setPercentComplete(0.10);\n s1.add(t1);\n Task t2 = new Task(\"Task 2\", new Date(30), new Date(40));\n t2.addSubtask(new Task(\"Task 2A\", new Date(30), new Date(35)));\n t2.addSubtask(new Task(\"Task 2B\", new Date(36), new Date(40)));\n t2.setPercentComplete(0.20);\n s1.add(t2);\n result.add(s1);\n TaskSeries s2 = new TaskSeries(\"S2\");\n Task t3 = new Task(\"Task 3\", new Date(50), new Date(60));\n t3.addSubtask(new Task(\"Task 3A\", new Date(50), new Date(55)));\n t3.addSubtask(new Task(\"Task 3B\", new Date(56), new Date(60)));\n t3.setPercentComplete(0.30);\n s2.add(t3);\n result.add(s2);\n return result;\n }","public ICareDailyDietChart() {\n\n\t}","static <R,C> DataFrame<R,C> ofDoubles(Iterable<R> rowKeys, Iterable<C> colKeys, ToDoubleFunction<DataFrameValue<R,C>> initials) {\n return DataFrame.factory().from(rowKeys, colKeys, Double.class).applyDoubles(initials);\n }","private LineDataSet createSet(){\n LineDataSet set = new LineDataSet(null, \"SPL Db\");\n set.setDrawCubic(true);\n set.setCubicIntensity(0.2f);\n set.setAxisDependency(YAxis.AxisDependency.LEFT);\n set.setColor(ColorTemplate.getHoloBlue());\n set.setLineWidth(2f);\n set.setCircleSize(4f);\n set.setFillAlpha(65);\n set.setFillColor(ColorTemplate.getHoloBlue());\n set.setHighLightColor(Color.rgb(244,117,177));\n set.setValueTextColor(Color.WHITE);\n set.setValueTextSize(10f);\n\n return set;\n }","private Chart(){}","private void createTestData(OHLCSeriesCollection seriesCollection) {\n\t OHLCSeries series = seriesCollection.getSeries(0);\n\t for (int i = 0; i < 10; i++) {\n\t // Generate new bar time\n\t Calendar cal = Calendar.getInstance();\n\t cal.add(Calendar.MINUTE, i);\n\t FixedMillisecond fm = new FixedMillisecond(cal.getTime());\n\t // Add bar to the data. Let's repeat the same bar\n\t series.add(fm, 100, 110, 90, 105);\n\t }\n\t}","SeriesType createSeriesType();","public static final AbstractChart getScatterChart(XYMultipleSeriesDataset dataset,\n XYMultipleSeriesRenderer renderer) {\n checkParameters(dataset, renderer);\n return new ScatterChart(dataset, renderer);\n }","private DefaultCategoryDataset createDataset() {\n\t\t\n\t\tdataset.clear();\n\t\t\n\t\t// Query HIM to submit data for bar chart display \n\t\tHistoricalInfoMgr.getChartDataset(expNum);\n\n\n\t\treturn dataset; // add the data point (y-value, variable, x-value)\n\t}","public Series(String title, String description, int duration, Distributor distributor, String[] country, double score, Date productionDate, String type, String[] actors, double price, ArrayList<Season> listSeason) {\n super(title, description, duration, distributor, country, score, productionDate, type, actors);\n this.price = price;\n this.listSeason = listSeason;\n }","private XYChart.Series<Number, Number> getTenSeries() {\n //Create new series\n XYChart.Series<Number, Number> series = new XYChart.Series<>();\n series.setName(\"Chemical Concentration\");\n Random rand = new Random();\n int c = 5; // Constant for x-axis scale\n for (int i = 0; i < 17; i++) {\n int y = rand.nextInt() % 3 + 2;\n series.getData().add(new XYChart.Data<>(i*5, y));\n }\n series.getData().add(new XYChart.Data<>(17 * c, 4));\n series.getData().add(new XYChart.Data<>(18 * c, 5));\n series.getData().add(new XYChart.Data<>(19 * c-2,8));\n series.getData().add(new XYChart.Data<>(19 * c, 10));\n series.getData().add(new XYChart.Data<>(19 * c+2,8));\n series.getData().add(new XYChart.Data<>(20 * c, 6));\n series.getData().add(new XYChart.Data<>(21 * c, 4));\n\n for (int i = 22; i < 30; i++) {\n int y = rand.nextInt() % 3 + 2;\n series.getData().add(new XYChart.Data<>(i*5, y));\n }\n return series;\n }","public XYSeries getXYSeries(String serie_name){ \n XYSeries serie = new XYSeries(serie_name); \n Point2D[] points_bezier = getPoint2DArray(); \n for(int j = 0 ; j < points_bezier.length; j++){ \n \n serie.add(points_bezier[j].getX(),points_bezier[j].getY()); \n } \n return serie; \n}","public abstract LocalDateDoubleTimeSeries getTimeSeries(ObservableKey key);","private QuoteItem createQuoteItemsFromCommerceItem(\n\t\t\tfinal SiebelCommerceItem sblCommerceItem) {\n\t\tQuoteItem quoteItem = new QuoteItem();\n\t\tString id = (!StringUtils.isBlank(sblCommerceItem.getQuoteItemId()))?sblCommerceItem.getQuoteItemId():sblCommerceItem.getId();\n\t\tquoteItem.setId(id);\n\t\tfor (SiebelCommerceItem childCommerceItem : (List<SiebelCommerceItem>) sblCommerceItem\n\t\t\t\t.getCommerceItems()) {\n\t\t\tQuoteItem childQuote = createQuoteItemsFromCommerceItem(childCommerceItem);\n\t\t\tquoteItem.getQuoteItem().add(childQuote);\n\t\t}\n\t\treturn quoteItem;\n\t}","public StockExchange()\n {\n stocks = new ArrayList<Stock>();\n }","public static < T > BasicOrderedSeries< T > copy( final IntegerOrderedSeries< T > series )\n\t{\n\t\tRequire.notNull( series );\n\t\tfinal BasicOrderedSeries< T > copy = new BasicOrderedSeries< T >( series.size() );\n\t\t\n\t\tfor( BasicOrderedSeries.Entry< Integer, T > entry : series )\n\t\t{\n\t\t\tcopy.add( (double)(int)entry.getKey(), entry.getElement() );\n\t\t}\n\t\t\n\t\treturn copy;\n\t}","public interface TimeSeriesCollection {\n\n /** The getData() methods returns List of objects of this Class */\n public Class getDataClass();\n\n /** Get number of points in the series */\n public int getNumTimes();\n\n /** get the time of the nth point. */\n public double getTime(int timePt);\n\n /**\n * Get the units of Calendar time.\n * To get a Date, from a time value, call DateUnit.getStandardDate(double value).\n * To get units as a String, call DateUnit.getUnitsString().\n */\n public ucar.nc2.units.DateUnit getTimeUnits();\n\n /** Get the data for the nth point. @return Object of type getDataClass() */\n public Object getData(int timePt);\n}","public Dataset from(Iri... iris) {\n\t\taddElements(SparqlBuilder::from, iris);\n\n\t\treturn this;\n\t}","protected abstract Collection createCollection();","public MockAggregateEvent(List<QuoteEvent> inCompositeEvents)\n {\n this(new Date(),\n new Equity(\"METC\"));\n compositeEvents.addAll(inCompositeEvents);\n }","public Series (String t, String s){\n title = t;\n studio = s;\n rating = \"PG\";\n}","public HumidityChart() {\n this(new XYSeriesCollection());\n }","Dates() {\n clear();\n }","protected abstract SingleTypeAdapter<E> createAdapter( final List<E> items );","private XYDataset createDataset() {\n\t \tXYSeriesCollection dataset = new XYSeriesCollection();\n\t \t\n\t \t//Definir cada Estacao\n\t\t XYSeries aes1 = new XYSeries(\"Estação1\");\n\t\t XYSeries aes2 = new XYSeries(\"Estação2\");\n\t\t XYSeries aes3 = new XYSeries(\"Estação3\");\n\t\t XYSeries aes4 = new XYSeries(\"Estação4\");\n\t\t XYSeries aes5 = new XYSeries(\"Estação5\");\n\t\t XYSeries aes6 = new XYSeries(\"Estação6\");\n\t\t XYSeries aes7 = new XYSeries(\"Estação7\");\n\t\t XYSeries aes8 = new XYSeries(\"Estação8\");\n\t\t XYSeries aes9 = new XYSeries(\"Estação9\");\n\t\t XYSeries aes10 = new XYSeries(\"Estação10\");\n\t\t XYSeries aes11 = new XYSeries(\"Estação11\");\n\t\t XYSeries aes12 = new XYSeries(\"Estação12\");\n\t\t XYSeries aes13 = new XYSeries(\"Estação13\");\n\t\t XYSeries aes14 = new XYSeries(\"Estação14\");\n\t\t XYSeries aes15 = new XYSeries(\"Estação15\");\n\t\t XYSeries aes16 = new XYSeries(\"Estação16\");\n\t\t \n\t\t //Definir numero de utilizadores em simultaneo para aparece na Interface\n\t\t XYSeries au1 = new XYSeries(\"AU1\");\n\t\t XYSeries au2 = new XYSeries(\"AU2\");\n\t\t XYSeries au3 = new XYSeries(\"AU3\");\n\t\t XYSeries au4 = new XYSeries(\"AU4\");\n\t\t XYSeries au5 = new XYSeries(\"AU5\");\n\t\t XYSeries au6 = new XYSeries(\"AU6\");\n\t\t XYSeries au7 = new XYSeries(\"AU7\");\n\t\t XYSeries au8 = new XYSeries(\"AU8\");\n\t\t XYSeries au9 = new XYSeries(\"AU9\");\n\t\t XYSeries au10 = new XYSeries(\"AU10\");\n\t\t \n\t\t //Colocar estacoes no gráfico\n\t\t aes1.add(12,12);\n\t\t aes2.add(12,37);\n\t\t aes3.add(12,62);\n\t\t aes4.add(12,87);\n\t\t \n\t\t aes5.add(37,12);\n\t\t aes6.add(37,37);\n\t\t aes7.add(37,62);\n\t\t aes8.add(37,87);\n\t\t \n\t\t aes9.add(62,12); \n\t\t aes10.add(62,37);\n\t\t aes11.add(62,62);\n\t\t aes12.add(62,87);\n\t\t \n\t\t aes13.add(87,12);\n\t\t aes14.add(87,37);\n\t\t aes15.add(87,62);\n\t\t aes16.add(87,87);\n\t\t \n\t\t//Para a bicicleta 1\n\t\t \t\n\t\t\t for(Entry<String, String> entry : position1.entrySet()) {\n\t\t\t\t String key = entry.getKey();\n\t\t\t\t \n\t\t\t\t String[] part= key.split(\",\");\n\t\t\t\t double keyX=Double.valueOf(part[0]);\n\t\t\t\t double keyY=Double.valueOf(part[1]);\n\t\t\t\t \n\t\t\t\t au1.add(keyX,keyY);\n\t\t\t }\n\t\t \n\t\t\t //Para a bicicleta 2\n\t\t for(Entry<String, String> entry : position2.entrySet()) {\n\t\t\t String key = entry.getKey();\n\t\t\t \n\t\t\t String[] part= key.split(\",\");\n\t\t\t double keyX=Double.valueOf(part[0]);\n\t\t\t double keyY=Double.valueOf(part[1]);\n\t\t\t \n\t\t\t au2.add(keyX,keyY);\n\t\t }\n\t\t \n\t\t //Para a bicicleta 3\n\t\t for(Entry<String, String> entry : position3.entrySet()) {\n\t\t\t String key = entry.getKey();\n\t\t\t \n\t\t\t String[] part= key.split(\",\");\n\t\t\t double keyX=Double.valueOf(part[0]);\n\t\t\t double keyY=Double.valueOf(part[1]);\n\t\t\t \n\t\t\t au3.add(keyX,keyY);\n\t\t }\n\t\t for(Entry<String, String> entry : position4.entrySet()) {\n\t\t\t String key = entry.getKey();\n\t\t\t \n\t\t\t String[] part= key.split(\",\");\n\t\t\t double keyX=Double.valueOf(part[0]);\n\t\t\t double keyY=Double.valueOf(part[1]);\n\t\t\t \n\t\t\t au4.add(keyX,keyY);\n\t\t }\n\t\t for(Entry<String, String> entry : position5.entrySet()) {\n\t\t\t String key = entry.getKey();\n\t\t\t \n\t\t\t String[] part= key.split(\",\");\n\t\t\t double keyX=Double.valueOf(part[0]);\n\t\t\t double keyY=Double.valueOf(part[1]);\n\t\t\t \n\t\t\t au5.add(keyX,keyY);\n\t\t }\n\t\t for(Entry<String, String> entry : position6.entrySet()) {\n\t\t\t String key = entry.getKey();\n\t\t\t \n\t\t\t String[] part= key.split(\",\");\n\t\t\t double keyX=Double.valueOf(part[0]);\n\t\t\t double keyY=Double.valueOf(part[1]);\n\t\t\t \n\t\t\t au6.add(keyX,keyY);\n\t\t }\n\t\t for(Entry<String, String> entry : position7.entrySet()) {\n\t\t\t String key = entry.getKey();\n\t\t\t \n\t\t\t String[] part= key.split(\",\");\n\t\t\t double keyX=Double.valueOf(part[0]);\n\t\t\t double keyY=Double.valueOf(part[1]);\n\t\t\t \n\t\t\t au7.add(keyX,keyY);\n\t\t }\n\t\t for(Entry<String, String> entry : position8.entrySet()) {\n\t\t\t String key = entry.getKey();\n\t\t\t \n\t\t\t String[] part= key.split(\",\");\n\t\t\t double keyX=Double.valueOf(part[0]);\n\t\t\t double keyY=Double.valueOf(part[1]);\n\t\t\t \n\t\t\t au8.add(keyX,keyY);\n\t\t }\n\t\t for(Entry<String, String> entry : position9.entrySet()) {\n\t\t\t String key = entry.getKey();\n\t\t\t \n\t\t\t String[] part= key.split(\",\");\n\t\t\t double keyX=Double.valueOf(part[0]);\n\t\t\t double keyY=Double.valueOf(part[1]);\n\t\t\t \n\t\t\t au9.add(keyX,keyY);\n\t\t }\n\t\t for(Entry<String, String> entry : position10.entrySet()) {\n\t\t\t String key = entry.getKey();\n\t\t\t \n\t\t\t String[] part= key.split(\",\");\n\t\t\t double keyX=Double.valueOf(part[0]);\n\t\t\t double keyY=Double.valueOf(part[1]);\n\t\t\t \n\t\t\t au10.add(keyX,keyY);\n\t\t }\n\t\t \n\t\t //Add series to dataset\n\t\t dataset.addSeries(au1);\n\t\t dataset.addSeries(au2);\n\t\t dataset.addSeries(au3);\n\t\t dataset.addSeries(au4);\n\t\t dataset.addSeries(au5);\n\t\t dataset.addSeries(au6);\n\t\t dataset.addSeries(au7);\n\t\t dataset.addSeries(au8);\n\t\t dataset.addSeries(au9);\n\t\t dataset.addSeries(au10);\n\t\t \n\t\t \n\t\t dataset.addSeries(aes1);\n\t\t dataset.addSeries(aes2);\n\t\t dataset.addSeries(aes3);\n\t\t dataset.addSeries(aes4);\n\t\t dataset.addSeries(aes5);\n\t\t dataset.addSeries(aes6);\n\t\t dataset.addSeries(aes7);\n\t\t dataset.addSeries(aes8);\n\t\t dataset.addSeries(aes9);\n\t\t dataset.addSeries(aes10);\n\t\t dataset.addSeries(aes11);\n\t\t dataset.addSeries(aes12);\n\t\t dataset.addSeries(aes13);\n\t\t dataset.addSeries(aes14);\n\t\t dataset.addSeries(aes15);\n\t\t dataset.addSeries(aes16);\n\t\t \n\t\t return dataset;\n\t }","private JPanel createChartPanel(XYSeriesCollection li) {\n\n String chartTitle = \" Movement Chart\";\n String xAxisLabel = \"Matrix Size\";\n String yAxisLabel = \"time in ms\";\n\n XYSeriesCollection dataset = li;\n // System.out.println(\"tesst count \" + dataset.getSeriesCount());\n\n //XYDataset dataset = createDataset(li);\n JFreeChart chart = ChartFactory.createXYLineChart(chartTitle, xAxisLabel, yAxisLabel, dataset);\n XYPlot plot = chart.getXYPlot();\n XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer();\n plot.setRenderer(renderer);\n\n return new ChartPanel(chart);\n }","private XYChart.Series<Number, Number> getFortySeries() {\n //Create new series\n XYChart.Series<Number, Number> series = new XYChart.Series<>();\n series.setName(\"Chemical Concentration\");\n Random rand = new Random();\n int c = 5; // Constant for x-axis scale\n for (int i = 0; i < 17; i++) {\n int y = rand.nextInt() % 5 + 10;\n series.getData().add(new XYChart.Data<>(i*5, y));\n }\n series.getData().add(new XYChart.Data<>(17 * c, 17));\n series.getData().add(new XYChart.Data<>(18 * c, 21));\n series.getData().add(new XYChart.Data<>(19 * c, 40));\n series.getData().add(new XYChart.Data<>(20 * c, 39));\n series.getData().add(new XYChart.Data<>(21 * c, 36));\n series.getData().add(new XYChart.Data<>(22 * c, 21));\n\n for (int i = 23; i < 30; i++) {\n int y = rand.nextInt() % 5 + 10;\n series.getData().add(new XYChart.Data<>(i*5, y));\n }\n return series;\n }","public IndexedSetView(final Collection<T> items) {\n\t\tthis(items, Random.class);\n\t}","public Frequency(ArrayList<LottoDay> list) {\n\n\t\tfill(list);//fill the maps\n\t}","public MyAdapter(ArrayList<MyData> myDataset) {\n\n mDataset = myDataset;\n }","private XYMultipleSeriesDataset getdemodataset() {\n\t\t\tdataset1 = new XYMultipleSeriesDataset();// xy轴数据源\n\t\t\tseries = new XYSeries(\"温度 \");// 这个事是显示多条用的，显不显示在上面render设置\n\t\t\t// 这里相当于初始化，初始化中无需添加数据，因为如果这里添加第一个数据的话，\n\t\t\t// 很容易使第一个数据和定时器中更新的第二个数据的时间间隔不为两秒，所以下面语句屏蔽\n\t\t\t// 这里可以一次更新五个数据，这样的话相当于开始的时候就把五个数据全部加进去了，但是数据的时间是不准确或者间隔不为二的\n\t\t\t// for(int i=0;i<5;i++)\n\t\t\t// series.add(1, Math.random()*10);//横坐标date数据类型，纵坐标随即数等待更新\n\n\t\t\tdataset1.addSeries(series);\n\t\t\treturn dataset1;\n\t\t}","public LineChart() {\n init();\n }","protected XSSFChart() {\n\t\tsuper();\n\t\tcreateChart();\n\t}","public TimeSeries getTimeSeries(String serie_name){ \n //First, we create the TimeSeries to return \n TimeSeries time_serie= new TimeSeries(serie_name,Second.class); \n \n //Gets the Bezier curves \n Point2D[] points_bezier = getPoint2DArray(); \n \n for(int j = 0 ; j < points_bezier.length; j++){ \n //System.out.println(j + \" X --> \" + points_bezier[j].getX()); \n //time_serie.add(RegularTimePeriod.createInstance(Second.class,new Date((long)points_bezier[j].getX()),RegularTimePeriod.DEFAULT_TIME_ZONE),points_bezier[j].getY()); \n time_serie.add(new Second(new Date((long)points_bezier[j].getX())),points_bezier[j].getY()); \n } \n \n \n return time_serie; \n}","public void addDailyReport(GregorianCalendar date, LinkedList<Reading> readings){\r\n LinkedList<Double> loRainfall = new LinkedList<>();\r\n LinkedList<Double> loTemp = new LinkedList<>();\r\n for(Reading read : readings)\r\n loRainfall.add(read.getRainfall());\r\n for(Reading read : readings)\r\n loTemp.add(read.getTemp());\r\n dailyReports.add(new DailyWeatherReport(date, loTemp, loRainfall));\r\n }","ResourceCollection<SubscriptionDailyUsageRecord> get();","private void initChart() {\n Cartesian cartesian = AnyChart.line();\n\n cartesian.animation(true);\n\n cartesian.padding(10d, 20d, 5d, 20d);\n\n cartesian.crosshair().enabled(true);\n cartesian.crosshair()\n .yLabel(true)\n // TODO ystroke\n .yStroke((Stroke) null, null, null, (String) null, (String) null);\n\n cartesian.tooltip().positionMode(TooltipPositionMode.POINT);\n\n cartesian.title(\"Steps taken in this week and last week\");\n\n cartesian.yAxis(0).title(\"Steps\");\n cartesian.xAxis(0).labels().padding(5d, 5d, 5d, 5d);\n\n List<DataEntry> seriesData = new ArrayList<>();\n Log.d(\"Size This Week\",stepsTakenModelsThisWeek.size()+\"\");\n for(int i = 0 ; i<7 ; i++){\n CustomDataEntry c = new CustomDataEntry(days[i],stepsTakenModelsLastWeek.get(i).getSteps());\n if(i<stepsTakenModelsThisWeek.size()){\n c.setValue(\"value2\",stepsTakenModelsThisWeek.get(i).getSteps());\n }else{\n if(DateUtilities.getDayInAbbBySelectedDate(stepsTakenModelsLastWeek.get(i).getDate()).equals(\n DateUtilities.getCurrentDayInAbb()))\n {\n c.setValue(\"value2\",stepsToday);\n }else{\n c.setValue(\"value2\",0);\n }\n }\n seriesData.add(c);\n }\n\n Set set = Set.instantiate();\n set.data(seriesData);\n Mapping series1Mapping = set.mapAs(\"{ x: 'x', value: 'value' }\");\n Mapping series2Mapping = set.mapAs(\"{ x: 'x', value: 'value2' }\");\n\n Line series1 = cartesian.line(series1Mapping);\n series1.name(\"Last Week\");\n series1.hovered().markers().enabled(true);\n series1.hovered().markers()\n .type(MarkerType.CIRCLE)\n .size(4d);\n series1.tooltip()\n .position(\"right\")\n .anchor(Anchor.LEFT_CENTER)\n .offsetX(5d)\n .offsetY(5d);\n\n Line series2 = cartesian.line(series2Mapping);\n series2.name(\"This Week\");\n series2.hovered().markers().enabled(true);\n series2.hovered().markers()\n .type(MarkerType.CIRCLE)\n .size(4d);\n series2.tooltip()\n .position(\"right\")\n .anchor(Anchor.LEFT_CENTER)\n .offsetX(5d)\n .offsetY(5d);\n\n\n cartesian.legend().enabled(true);\n cartesian.legend().fontSize(13d);\n cartesian.legend().padding(0d, 0d, 10d, 0d);\n\n chart.setChart(cartesian);\n }","public void addSeries(DataSeries aSeries) { _dataSet.addSeries(aSeries); }","public BasicOrderedSeries( final int initialCapacity )\n\t{\n\t\tsuper( initialCapacity );\n\t}","public List<Quote> getQuoteHistory(Instrument instrument, Period period, \r\n \t\tDate fromDate, Date toDate)\r\n throws PersistenceException;","public static Sale fromArray(String[] line) {\n\t\tSale sale = new Sale();\n\t\tsale.setId(Long.parseLong(line[1]));\n\n\t\t// Parse and calculate Sale value\n\t\tdouble totalSale = 0;\n\t\tString[] strItems = line[2].replace(\"[\", \"\").replace(\"]\", \"\").split(\",\");\n\t\tif (strItems.length > 0){\n\t\t\tfor(String strItem : strItems){\n\t\t\t\tString[] itemSplit = strItem.split(\"-\");\n\t\t\t\tif (itemSplit.length == 3){\n\t\t\t\t\tdouble totalItem = Double.parseDouble(itemSplit[1]) * Double.parseDouble(itemSplit[2]);\n\t\t\t\t\ttotalSale += totalItem;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tsale.setTotal(totalSale);\n\t\treturn sale;\n\n\t}","private static void insertTimeSeriesOneDim(final ScriptEngine engine,\r\n final DataArray data) throws Exception {\r\n List<DataEntry> time = data.getDate();\r\n int freq = TimeUtils.getFrequency(time);\r\n List<Double> doubleList = data.getDouble();\r\n double[] doubleArray = new double[doubleList.size()];\r\n for (int i = 0; i < doubleList.size(); i++) {\r\n doubleArray[i] = doubleList.get(i);\r\n }\r\n engine.put(\"my_double_vector\", doubleArray);\r\n engine.eval(\"ts_0 <- ts(my_double_vector, frequency = \"\r\n + freq + \")\");\r\n }","public Literature convertToSeries() {\n BookSeries bookSeries = new BookSeries(getTitle(), getPublisher(), getGenre(), getAuthor());\n bookSeries.addBookToSeries(this);\n return bookSeries;\n }","static <R,C> DataFrame<R,C> ofObjects(Iterable<R> rowKeys, C colKey) {\n return DataFrame.factory().from(rowKeys, Index.singleton(colKey), Object.class);\n }","public DailyReport genDailyReport(GregorianCalendar date) \n\t\t\tthrows SQLException, ClassNotFoundException, IOException\n\t{\n\t\tif(this.conn == null)\n\t\t\tthis.conn = JDBCConnection.getConnection();\n\n\t\tString sql = \"SELECT I.upc, \\n\" +\n\t\t\t\t \t \" I.category, \\n\" +\n\t\t\t\t \t \" I.price, \\n\" +\n\t\t\t\t \t \" PI.quantity, \\n\" +\n\t\t\t\t \t \" I.price * PI.quantity \\n\" +\n\t\t\t\t \t \"FROM Purchase P, PurchaseItem PI, Item I \\n\" +\n\t\t\t\t \t \"WHERE P.receiptId = PI.receiptId AND \\n\" +\n\t\t\t\t \t \" PI.upc = I.upc AND \\n\" +\n\t\t\t\t \t \" P.pDate = ? \\n\" +\n\t\t\t\t \t \"ORDER BY I.category \\n\";\n\t\tPreparedStatement stmt = conn.prepareStatement(sql);\n\t\tDate temp = new Date(date.get(Calendar.YEAR) - 1900, \n\t\t\t\t\t\t\t date.get(Calendar.MONTH) - 1, \n\t\t\t\t\t\t\t date.get(Calendar.DAY_OF_MONTH));\n\t\tstmt.setDate(1, temp);\n\t\t\n\t\ttry\n\t\t{\n\t\t\tResultSet result = stmt.executeQuery();\n\t\t\tArrayList<Triple<String, ArrayList<ReportItem>, Double>>\n\t\t\t\ttuples = new ArrayList<Triple<String, ArrayList<ReportItem>, Double>>();\n\n\t\t\tif(!result.next())\n\t\t\t//if empty resultset, return empty report\n\t\t\t\treturn new DailyReport(tuples);\n\t\t\t\n\t\t\t//3 Passes:\n\t\t\t//1st: Store everything on the list\n\t\t\tArrayList<ReportItem> raw_list = new ArrayList<ReportItem>();\n\t\t\tdo\n\t\t\t{\n\t\t\t\tString upc = result.getString(1);\n\t\t\t\tString cat = result.getString(2);\n\t\t\t\tdouble price_$ = result.getDouble(3);\n\t\t\t\tint qty_sold = result.getInt(4);\n\t\t\t\tdouble total_$ = result.getDouble(5);\n\n\t\t\t\tReportItem item = new ReportItem(upc, cat, price_$, qty_sold, total_$);\n\t\t\t\traw_list.add(item);\t\n\t\t\t}while(result.next());\n\t\t\t\n\t\t\t//2nd: combine any duplicate item\n\t\t\tArrayList<ReportItem> lst_no_dup = new ArrayList<ReportItem>();\n\t\t\tfor(int row = 0; row < raw_list.size(); row++)\n\t\t\t{\n\t\t\t\tString current_upc = raw_list.get(row).getUPC();\n\t\t\t\tint unit_sold = raw_list.get(row).getUnits();\n\t\t\t\tdouble item_total = raw_list.get(row).getTotalSale();\n\t\t\t\tfor(int fol_row = row + 1; \n\t\t\t\t\tfol_row < raw_list.size() && \n\t\t\t\t\t\t\traw_list.get(fol_row).getUPC().equals(current_upc); \n\t\t\t\t\tfol_row++)\n\t\t\t\t{\n\t\t\t\t\tunit_sold += raw_list.get(fol_row).getUnits();\n\t\t\t\t\titem_total += raw_list.get(fol_row).getTotalSale();\n\t\t\t\t\trow = fol_row;\n\t\t\t\t}\n\t\t\t\tReportItem itm = new ReportItem(raw_list.get(row).getUPC(),\n\t\t\t\t\t\t\t\t\t\t\t\traw_list.get(row).getCategory(),\n\t\t\t\t\t\t\t\t\t\t\t\traw_list.get(row).getUnitPrices(),\n\t\t\t\t\t\t\t\t\t\t\t\tunit_sold, item_total);\n\t\t\t\tlst_no_dup.add(itm);\n\t\t\t}\n\t\t\t\n\t\t\t//3rd: accounting for each category\n\t\t\tfor(int row = 0; row < lst_no_dup.size(); row++)\n\t\t\t{\n\t\t\t\tString current_cat = lst_no_dup.get(row).getCategory();\n\t\t\t\tdouble cat_total = lst_no_dup.get(row).getTotalSale();\n\t\t\t\tint start_ind = row;\n\t\t\t\tint end_ind = row;\n\t\t\t\tfor(int fol_row = row + 1; \n\t\t\t\t\tfol_row < lst_no_dup.size() && \n\t\t\t\t\tlst_no_dup.get(fol_row).getCategory().equals(current_cat);\n\t\t\t\t\tfol_row++)\n\t\t\t\t{\n\t\t\t\t\tcat_total += lst_no_dup.get(fol_row).getTotalSale();\n\t\t\t\t\trow = fol_row;\n\t\t\t\t\tend_ind++;\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\t//make a sublist:\n\t\t\t\tArrayList<ReportItem> sublist = new ArrayList<ReportItem>();\n\t\t\t\tfor(int col = start_ind; col <= end_ind; col++)\n\t\t\t\t\tsublist.add(lst_no_dup.get(col));\n\t\t\t\t\n\t\t\t\tTriple<String, ArrayList<ReportItem>, Double>\n\t\t\t\ta_tuple = new Triple<String, ArrayList<ReportItem>, Double>\n\t\t\t\t\t\t\t\t(current_cat, sublist, new Double(cat_total));\n\t\t\t\ttuples.add(a_tuple);\n\t\t\t}\n\t\t\t\n\t\t\treturn new DailyReport(tuples);\n\t\t}\n\t\tfinally\n\t\t{\n\t\t\tstmt.close();\n\t\t}\n\t}","static <R,C> DataFrame<R,C> ofDoubles(R rowKey, Iterable<C> colKeys) {\n return DataFrame.factory().from(Index.singleton(rowKey), colKeys, Double.class);\n }","public static Dataset createDataset(RepositoryConnection connection)\n {\n DatasetGraph dsg = new JenaSesameDatasetGraph(connection) ;\n return DatasetFactory.wrap(dsg) ;\n }","public TradingDayInfo(String ticker, String date, double openingPrice, double highPrice, double lowPrice, double closingPrice) {\n this.ticker = ticker;\n this.date = date;\n this.openingPrice = openingPrice;\n this.highPrice = highPrice;\n this.lowPrice = lowPrice;\n this.closingPrice = closingPrice;\n \n \n return;\n }","public XYSeries(String name) {\n\t\tthis.name = name;\n\t\tpointList = new ArrayList<Point2D>(1024);\n\t}","public FeedCustomAdapter(List<Post> dataSet) {\n outfitDataSet = dataSet;\n }","@Override\n\tpublic void addSeries(final String title, final double[] xs,\n\t\t\tfinal double[] ys) {\n\t\tXYSeries series = new XYSeries(title, false, true);\n\t\tfor (int i = 0, n = Math.min(xs.length, ys.length); i < n; i++) {\n\t\t\tseries.add(xs[i], ys[i]);\n\t\t}\n\t\tthis.dataset.addSeries(series);\n\t}","@NonNull\n default T feed(\n @NonNull Iterator<Map<String, Object>> feeder, Function<Session, Integer> numberOfRecords) {\n return ScalaFeeds.apply(this, feeder, numberOfRecords);\n }","public ServiceIndexesPerDateRecord() {\n super(ServiceIndexesPerDate.SERVICE_INDEXES_PER_DATE);\n }","@Override\r\n\tpublic boolean addAll(Collection<? extends SeriesEntry> c)\r\n\t{\n\t\tthrow new UnsupportedOperationException(\"Series collection doesn't support this operation.\");\r\n\t}","protected void readCollection(Collection<Integer> series)\n {\n size = series.size();\n if(size==0)\n return;\n x = new double[size];\n Iterator<Integer> i = series.iterator();\n for(int t = 0; i.hasNext(); t++)\n x[t] = (i.next()).doubleValue();\n if(size<2)\n return;\n r = new double[size - 1];\n for(int t = 1; t<size; t++)\n r[t - 1] = Math.log(x[t]/x[t - 1]); \n }","public DailyMessagesChart(final String title, final List<DateCounter> data)\n {\n super(title);\n initializeChart(data);\n }","public static ComicCollectionEntity create(String name, int id, Date dateCreated) {\n return new ComicCollectionEntity(name, id, dateCreated);\n }","public static LinkedList<LinkedList<EventInstance>> convertToEventInstances(LinkedList<HistoricalTrace> positiveTraces, EpqlContext ctx) {\n\t\tLinkedList<LinkedList<EventInstance>> tracesAsEventInstances = new LinkedList<LinkedList<EventInstance>>();\n\n\t\tfor (HistoricalTrace t : positiveTraces) {\n\t\t\tLinkedList<EventInstance> currentTraceAsEventInstances = new LinkedList<EventInstance>();\n\n\t\t\tfor (GenericEvent e : t.getEvents()) {\n\t\t\t\tHashMap<String, Value> nominalAttributes = new HashMap<String, Value>();\n\n\t\t\t\t// use the event type as a nominal attribute as well\n\t\t\t\tnominalAttributes.put(EventInstance.PREFIX_FOR_EVENTTYPE_NAME + \"EventTypeName\", new Value(e.getTypeName()));\n\n\t\t\t\tIterator<String> iterator = e.getAttributes().keySet().iterator();\n\t\t\t\twhile (iterator.hasNext()) {\n\t\t\t\t\tString attrName = iterator.next();\n\t\t\t\t\tValue attrValue = e.getAttributeValue(attrName);\n\t\t\t\t\tif (!ctx.isONLY_USE_STRINGS_FOR_RELEVANT_EVENT_INSTANCES() || attrValue.getType().equals(EValueType.STRING)) {\n\t\t\t\t\t\tnominalAttributes.put(attrName, attrValue);\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tcurrentTraceAsEventInstances.add(new EventInstance(nominalAttributes, e.getTypeName()));\n\t\t\t}\n\n\t\t\ttracesAsEventInstances.add(currentTraceAsEventInstances);\n\t\t}\n\n\t\treturn tracesAsEventInstances;\n\t}"],"string":"[\n \"private XYDataset createDataset() {\\n final XYSeriesCollection dataset = new XYSeriesCollection();\\n //dataset.addSeries(totalDemand);\\n dataset.addSeries(cerContent);\\n //dataset.addSeries(cerDemand);\\n dataset.addSeries(comContent);\\n //dataset.addSeries(comDemand);\\n dataset.addSeries(activation);\\n dataset.addSeries(resolutionLevel);\\n \\n return dataset;\\n }\",\n \"private XYSeries createSeries() {\\r\\n return createSeries(0);\\r\\n }\",\n \"private TaskSeriesCollection createCollection1() {\\n TaskSeriesCollection result = new TaskSeriesCollection();\\n TaskSeries s1 = new TaskSeries(\\\"S1\\\");\\n s1.add(new Task(\\\"Task 1\\\", new Date(1), new Date(2)));\\n s1.add(new Task(\\\"Task 2\\\", new Date(3), new Date(4)));\\n result.add(s1);\\n TaskSeries s2 = new TaskSeries(\\\"S2\\\");\\n s2.add(new Task(\\\"Task 3\\\", new Date(5), new Date(6)));\\n result.add(s2);\\n return result;\\n }\",\n \"public Series( String name, SortedMap<String, Long> dateCounters ) {\\n\\t\\tthis.name = name;\\n\\t\\tthis.type = DEFAULT_TYPE;\\n\\t\\tdata = new ArrayList<Double[]>();\\n\\t\\tfor ( Entry<String, Long> dateCounter : dateCounters.entrySet() ) {\\n\\t\\t\\tlong timestamp = DateConverter.dateStringToTimestamp( dateCounter.getKey() );\\n\\t\\t\\tdata.add( new Double [] { new Double(timestamp), new Double(dateCounter.getValue()) } );\\n\\t\\t}\\n\\t}\",\n \"public Series () {\\n super();\\n this.price = RandomFill.generateNumber(5,15);\\n this.listSeason = RandomFill.generateListSeason();\\n }\",\n \"public Series()\\n {\\n super();\\n }\",\n \"public StoredDay(LocalDate date) {\\n this.date = date;\\n this.recipes = new StoredRecipe[0];\\n }\",\n \"Series<double[]> makeSeries(int dimension);\",\n \"public EventAdapter(ArrayList<Event> myDataset) {\\n\\t\\tmDataset = myDataset;\\n\\t}\",\n \"private TaskSeriesCollection createCollection3() {\\n Task sub1 = new Task(\\\"Sub1\\\", new Date(11), new Date(111));\\n Task sub2 = new Task(\\\"Sub2\\\", new Date(22), new Date(222));\\n Task sub3 = new Task(\\\"Sub3\\\", new Date(33), new Date(333));\\n Task sub4 = new Task(\\\"Sub4\\\", new Date(44), new Date(444));\\n Task sub5 = new Task(\\\"Sub5\\\", new Date(55), new Date(555));\\n Task sub6 = new Task(\\\"Sub6\\\", new Date(66), new Date(666));\\n sub1.setPercentComplete(0.111);\\n sub2.setPercentComplete(0.222);\\n sub3.setPercentComplete(0.333);\\n sub4.setPercentComplete(0.444);\\n sub5.setPercentComplete(0.555);\\n sub6.setPercentComplete(0.666);\\n TaskSeries seriesA = new TaskSeries(\\\"Series A\\\");\\n Task taskA1 = new Task(\\\"Task 1\\\", new SimpleTimePeriod(new Date(100), new Date(200)));\\n taskA1.setPercentComplete(0.1);\\n taskA1.addSubtask(sub1);\\n Task taskA2 = new Task(\\\"Task 2\\\", new SimpleTimePeriod(new Date(220), new Date(350)));\\n taskA2.setPercentComplete(0.2);\\n taskA2.addSubtask(sub2);\\n taskA2.addSubtask(sub3);\\n seriesA.add(taskA1);\\n seriesA.add(taskA2);\\n TaskSeries seriesB = new TaskSeries(\\\"Series B\\\");\\n Task taskB2 = new Task(\\\"Task 2\\\", new SimpleTimePeriod(new Date(2220), new Date(3350)));\\n taskB2.setPercentComplete(0.3);\\n taskB2.addSubtask(sub4);\\n taskB2.addSubtask(sub5);\\n taskB2.addSubtask(sub6);\\n seriesB.add(taskB2);\\n TaskSeriesCollection tsc = new TaskSeriesCollection();\\n tsc.add(seriesA);\\n tsc.add(seriesB);\\n return tsc;\\n }\",\n \"private Object createDataset(final ChartConfiguration config) {\\n final CategoryChart chart = (CategoryChart) config.chart;\\n for (final Fields key: config.fields) {\\n chart.addSeries(key.getLocalizedName(), new double[1], new double[1]);\\n }\\n populateDataset(config);\\n return null;\\n }\",\n \"public static < T > BasicOrderedSeries< T > copy( final BasicOrderedSeries< T > series )\\n\\t{\\n\\t\\tRequire.notNull( series );\\n\\t\\tfinal BasicOrderedSeries< T > copy = new BasicOrderedSeries< T >( series.size() );\\n\\t\\t\\n\\t\\tfor( BasicOrderedSeries.Entry< Double, T > entry : series )\\n\\t\\t{\\n\\t\\t\\tcopy.add( entry.getKey(), entry.getElement() );\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn copy;\\n\\t}\",\n \"public DateAxis() { this(null); }\",\n \"public Series( String name, SortedMap<String, Long> dateCounters, SortedMap<String, Long> totalCounters ) {\\n\\t\\tthis.name = name;\\n\\t\\tthis.type = DEFAULT_TYPE;\\n\\t\\tdata = new ArrayList<Double[]>();\\n\\t\\tfor ( Entry<String, Long> dateCounter : dateCounters.entrySet() ) {\\n\\t\\t\\tlong timestamp = DateConverter.dateStringToTimestamp( dateCounter.getKey() );\\n\\t\\t\\t// get the total count for this date\\n\\t\\t\\tlong total = totalCounters.get( dateCounter.getKey() );\\n\\t\\t\\t// Avoid a divide by 0 if we simply don't have data for this time\\n\\t\\t\\tif ( total != 0 ) {\\n\\t\\t\\t\\tdata.add( new Double [] { new Double(timestamp), new Double((double)dateCounter.getValue() / (double)total) * 100d } );\\n\\t\\t\\t}\\n\\t\\t\\telse {\\n\\t\\t\\t\\tdata.add( new Double [] { new Double(timestamp), 0d } );\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public BasicOrderedSeries()\\n\\t{\\n\\t\\tsuper();\\n\\t}\",\n \"private static MarketDataSet createTestMarketData() {\\n final MarketDataSet dataSet = MarketDataSet.empty();\\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \\\"AUDUSD\\\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)), 1.8);\\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \\\"NZDUSD\\\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)), 2.2);\\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \\\"GBPUSD\\\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)), 1.5);\\n dataSet.put(MarketDataKey.of(ExternalId.of(TEST_SCHEME, \\\"GBP1Y\\\").toBundle(), DataField.of(MarketDataRequirementNames.MARKET_VALUE)),\\n ImmutableLocalDateDoubleTimeSeries.builder()\\n .putAll(new LocalDate[] {LocalDate.of(2016, 1, 1), LocalDate.of(2016, 1, 2)}, new double[] {0.01, 0.02}).build());\\n return dataSet;\\n }\",\n \"private XYDataset createDataset() {\\n\\t\\tfinal XYSeriesCollection dataset = new XYSeriesCollection( ); \\n\\t\\tdataset.addSeries(trainErrors); \\n\\t\\tdataset.addSeries(testErrors);\\n\\t\\treturn dataset;\\n\\t}\",\n \"public StockRecyclerViewAdapter(ArrayList<StockData> myDataset) {\\n mDataset = myDataset;\\n }\",\n \"ArrayList<Serie> getSeries(){\\n\\n Uri builtUri = Uri.parse(seriesURL)\\n .buildUpon()\\n .build();\\n String url = builtUri.toString();\\n\\n return doCallSerie(url);\\n }\",\n \"static <R,C> DataFrame<R,C> ofDoubles(Iterable<R> rowKeys, C colKey) {\\n return DataFrame.factory().from(rowKeys, Index.singleton(colKey), Double.class);\\n }\",\n \"public SeriesModel(String title, LinkedHashMap<String, Episode> episodes) {\\n\\t\\tsuper(title, episodes);\\n\\t}\",\n \"protected abstract Set<Event> createEvents(String[] dataset);\",\n \"private ListSeries getTodayData() {\\n\\t\\tListSeries dollarEarning = new ListSeries();\\n\\t\\tdouble number = 0;\\n\\t\\tnumber = controler.getTodaysTransactionSummary();\\n\\t\\tdollarEarning.addData(number);\\n\\t\\t\\n\\t\\treturn dollarEarning;\\n\\t}\",\n \"private void createChart() {\\n LineChart lineChart = (LineChart) findViewById(R.id.line_chart);\\n\\n // LineChart DataSet\\n ArrayList<LineDataSet> dataSets = new ArrayList<>();\\n\\n // x-coordinate format value\\n XAxis xAxis = lineChart.getXAxis();\\n xAxis.setPosition(XAxis.XAxisPosition.BOTTOM);\\n xAxis.setGranularity(1f); // only intervals of 1 day\\n// xAxis.setValueFormatter(new DayAxisValueFormatter(lineChart));\\n\\n\\n // x-coordinate value\\n ArrayList<String> xValues = new ArrayList<>();\\n xValues.add(\\\"No.1\\\");\\n xValues.add(\\\"No.2\\\");\\n xValues.add(\\\"No.3\\\");\\n xValues.add(\\\"No.4\\\");\\n xValues.add(\\\"No.5\\\");\\n\\n // value\\n ArrayList<Entry> value = new ArrayList<>();\\n String measureItemName = \\\"\\\";\\n value.add(new Entry(100, 0));\\n value.add(new Entry(120, 1));\\n value.add(new Entry(150, 2));\\n value.add(new Entry(250, 3));\\n value.add(new Entry(500, 4));\\n\\n\\n // add value to LineChart's DataSet\\n LineDataSet valueDataSet = new LineDataSet(value, measureItemName);\\n dataSets.add(valueDataSet);\\n\\n // set LineChart's DataSet to LineChart\\n// lineChart.setData(new LineData(xValues, dataSets));\\n lineChart.setData(new LineData(valueDataSet));\\n }\",\n \"private static XYDataset createDataset(Double[] x, Double[] y) {\\n\\t\\tlogger.info(\\\"Creating Dataset\\\");\\n\\t\\tXYSeries s1 = new XYSeries(Double.valueOf(1));\\n\\t\\tif (x.length != y.length) {\\n\\t\\t\\tlogger.error(\\\"Error in createDataset of ScatterDialog. \\\" +\\n\\t\\t\\t\\t\\t\\\"Could not create a dataset for the scatter plot -- missing data\\\");\\n\\t\\t\\treturn null;\\n\\t\\t}\\n\\t\\tfor (int i = 0; i < x.length; i++) {\\n\\t\\t\\tif (y[i] != null) {\\n\\t\\t\\t\\ts1.add(x[i], y[i]);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tXYSeriesCollection dataset = new XYSeriesCollection();\\n\\t\\tdataset.addSeries(s1);\\n\\t\\treturn dataset;\\n\\t}\",\n \"static <R,C> DataFrame<R,C> ofDoubles(Iterable<R> rowKeys, Iterable<C> colKeys) {\\n return DataFrame.factory().from(rowKeys, colKeys, Double.class);\\n }\",\n \"public SalesRecord() {\\n super(Sales.SALES);\\n }\",\n \"public Series( String t, String s, String r){\\n title = t;\\n studio = s;\\n rating = r;\\n}\",\n \"public static final AbstractChart getLineChart(XYMultipleSeriesDataset dataset,\\n XYMultipleSeriesRenderer renderer) {\\n checkParameters(dataset, renderer);\\n return new LineChart(dataset, renderer);\\n }\",\n \"public SalesRecords() {\\n super();\\n }\",\n \"public CategoryDataset createDataset() {\\n\\t\\tfinal DefaultCategoryDataset dataset = new DefaultCategoryDataset();\\n\\t\\tProjectManagement projectManagement = new ProjectManagement();\\n\\t\\tif (this.chartName == \\\"Earned Value\\\") {\\n\\t\\t\\tfor (LocalDate date : dateList) {\\n\\t\\t\\t\\tdataset.addValue(projectManagement.getEarnedValue(date), \\\"Earned Value\\\", date);\\n\\t\\t\\t}\\n\\t\\t} else if (this.chartName == \\\"Schedule Variance\\\") {\\n\\t\\t\\tfor (LocalDate date : dateList) {\\n\\t\\t\\t\\tdataset.addValue(projectManagement.getScheduleVariance(date), \\\"Schedule Variance\\\", date);\\n\\t\\t\\t}\\n\\n\\t\\t} else {// Cost Variance\\n\\t\\t\\tfor (LocalDate date : dateList) {\\n\\t\\t\\t\\tdataset.addValue(projectManagement.getCostVariance(date), \\\"Cost Variance\\\", date);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn dataset;\\n\\t}\",\n \"private XYDataset createDataset(String WellID, String lang) {\\n final TimeSeries eur = createEURTimeSeries(WellID, lang);\\n final TimeSeriesCollection dataset = new TimeSeriesCollection();\\n dataset.addSeries(eur);\\n return dataset;\\n }\",\n \"public void initSalesList() {\\n\\n String sql = \\\"SELECT menu.id_product, menu.name, menu.price,size.size, COUNT(orders_menu.id_order) \\\"\\n + \\\"FROM menu, orders_menu, orders, size WHERE menu.id_product=orders_menu.id_product \\\"\\n + \\\"AND orders.id_order=orders_menu.id_order AND orders.id_status=4 \\\"\\n + \\\"AND size.id_size=menu.id_size GROUP BY menu.id_product\\\";\\n\\n Session session = HibernateUtil.getSessionFactory().getCurrentSession();\\n\\n session.beginTransaction();\\n List<Object[]> empDepts = session.createNativeQuery(sql).list();\\n\\n salesFxObservableList.clear();\\n for (Object[] objects : empDepts) {\\n SalesFx salesFx = new SalesFx();\\n salesFx.setIdProduct((Integer) objects[0]);\\n salesFx.setName((String) objects[1]);\\n salesFx.setPrice((Integer) objects[2]);\\n salesFx.setSize((String) objects[3]);\\n BigInteger bigInteger = (BigInteger) objects[4];\\n salesFx.setSale(bigInteger.intValue());\\n salesFxObservableList.add(salesFx);\\n }\\n\\n session.getTransaction().commit();\\n }\",\n \"public MutualMarketTop10Daily() {\\n this(\\\"mutual_market_top10_daily\\\", null);\\n }\",\n \"public SurveyAdapter(List<Object> items) {\\n this.items = items;\\n }\",\n \"public Series addSeries() {\\n\\t\\tSeries newType = new Series();\\n\\t\\tgetSeries().add(newType);\\n\\t\\treturn newType; \\n\\t}\",\n \"@Override\\r\\n\\tpublic List<XChart> bindChart() {\\n\\t\\tList<XChart> lst = new ArrayList<XChart>();\\r\\n\\t\\tlst.add(chart);\\r\\n\\t\\treturn lst;\\r\\n\\t}\",\n \"QuoteItem createQuoteItem();\",\n \"public AlbumSeriesRecord() {\\n super(AlbumSeries.ALBUM_SERIES);\\n }\",\n \"public AlbumSeriesRecord(Long pk, Long albumFk, Long seriesFk, Boolean favorite) {\\n super(AlbumSeries.ALBUM_SERIES);\\n\\n set(0, pk);\\n set(1, albumFk);\\n set(2, seriesFk);\\n set(3, favorite);\\n }\",\n \"Quote createQuote();\",\n \"public interface StockPriceDataSource {\\n\\n /**\\n * daily prices\\n * @param date required date, can be today\\n * @return list of deals for the day\\n */\\n List<StockTrade> getDayPrices(LocalDate date) throws IOException;\\n}\",\n \"private TaskSeriesCollection createCollection2() {\\n TaskSeriesCollection result = new TaskSeriesCollection();\\n TaskSeries s1 = new TaskSeries(\\\"S1\\\");\\n Task t1 = new Task(\\\"Task 1\\\", new Date(10), new Date(20));\\n t1.addSubtask(new Task(\\\"Task 1A\\\", new Date(10), new Date(15)));\\n t1.addSubtask(new Task(\\\"Task 1B\\\", new Date(16), new Date(20)));\\n t1.setPercentComplete(0.10);\\n s1.add(t1);\\n Task t2 = new Task(\\\"Task 2\\\", new Date(30), new Date(40));\\n t2.addSubtask(new Task(\\\"Task 2A\\\", new Date(30), new Date(35)));\\n t2.addSubtask(new Task(\\\"Task 2B\\\", new Date(36), new Date(40)));\\n t2.setPercentComplete(0.20);\\n s1.add(t2);\\n result.add(s1);\\n TaskSeries s2 = new TaskSeries(\\\"S2\\\");\\n Task t3 = new Task(\\\"Task 3\\\", new Date(50), new Date(60));\\n t3.addSubtask(new Task(\\\"Task 3A\\\", new Date(50), new Date(55)));\\n t3.addSubtask(new Task(\\\"Task 3B\\\", new Date(56), new Date(60)));\\n t3.setPercentComplete(0.30);\\n s2.add(t3);\\n result.add(s2);\\n return result;\\n }\",\n \"public ICareDailyDietChart() {\\n\\n\\t}\",\n \"static <R,C> DataFrame<R,C> ofDoubles(Iterable<R> rowKeys, Iterable<C> colKeys, ToDoubleFunction<DataFrameValue<R,C>> initials) {\\n return DataFrame.factory().from(rowKeys, colKeys, Double.class).applyDoubles(initials);\\n }\",\n \"private LineDataSet createSet(){\\n LineDataSet set = new LineDataSet(null, \\\"SPL Db\\\");\\n set.setDrawCubic(true);\\n set.setCubicIntensity(0.2f);\\n set.setAxisDependency(YAxis.AxisDependency.LEFT);\\n set.setColor(ColorTemplate.getHoloBlue());\\n set.setLineWidth(2f);\\n set.setCircleSize(4f);\\n set.setFillAlpha(65);\\n set.setFillColor(ColorTemplate.getHoloBlue());\\n set.setHighLightColor(Color.rgb(244,117,177));\\n set.setValueTextColor(Color.WHITE);\\n set.setValueTextSize(10f);\\n\\n return set;\\n }\",\n \"private Chart(){}\",\n \"private void createTestData(OHLCSeriesCollection seriesCollection) {\\n\\t OHLCSeries series = seriesCollection.getSeries(0);\\n\\t for (int i = 0; i < 10; i++) {\\n\\t // Generate new bar time\\n\\t Calendar cal = Calendar.getInstance();\\n\\t cal.add(Calendar.MINUTE, i);\\n\\t FixedMillisecond fm = new FixedMillisecond(cal.getTime());\\n\\t // Add bar to the data. Let's repeat the same bar\\n\\t series.add(fm, 100, 110, 90, 105);\\n\\t }\\n\\t}\",\n \"SeriesType createSeriesType();\",\n \"public static final AbstractChart getScatterChart(XYMultipleSeriesDataset dataset,\\n XYMultipleSeriesRenderer renderer) {\\n checkParameters(dataset, renderer);\\n return new ScatterChart(dataset, renderer);\\n }\",\n \"private DefaultCategoryDataset createDataset() {\\n\\t\\t\\n\\t\\tdataset.clear();\\n\\t\\t\\n\\t\\t// Query HIM to submit data for bar chart display \\n\\t\\tHistoricalInfoMgr.getChartDataset(expNum);\\n\\n\\n\\t\\treturn dataset; // add the data point (y-value, variable, x-value)\\n\\t}\",\n \"public Series(String title, String description, int duration, Distributor distributor, String[] country, double score, Date productionDate, String type, String[] actors, double price, ArrayList<Season> listSeason) {\\n super(title, description, duration, distributor, country, score, productionDate, type, actors);\\n this.price = price;\\n this.listSeason = listSeason;\\n }\",\n \"private XYChart.Series<Number, Number> getTenSeries() {\\n //Create new series\\n XYChart.Series<Number, Number> series = new XYChart.Series<>();\\n series.setName(\\\"Chemical Concentration\\\");\\n Random rand = new Random();\\n int c = 5; // Constant for x-axis scale\\n for (int i = 0; i < 17; i++) {\\n int y = rand.nextInt() % 3 + 2;\\n series.getData().add(new XYChart.Data<>(i*5, y));\\n }\\n series.getData().add(new XYChart.Data<>(17 * c, 4));\\n series.getData().add(new XYChart.Data<>(18 * c, 5));\\n series.getData().add(new XYChart.Data<>(19 * c-2,8));\\n series.getData().add(new XYChart.Data<>(19 * c, 10));\\n series.getData().add(new XYChart.Data<>(19 * c+2,8));\\n series.getData().add(new XYChart.Data<>(20 * c, 6));\\n series.getData().add(new XYChart.Data<>(21 * c, 4));\\n\\n for (int i = 22; i < 30; i++) {\\n int y = rand.nextInt() % 3 + 2;\\n series.getData().add(new XYChart.Data<>(i*5, y));\\n }\\n return series;\\n }\",\n \"public XYSeries getXYSeries(String serie_name){ \\n XYSeries serie = new XYSeries(serie_name); \\n Point2D[] points_bezier = getPoint2DArray(); \\n for(int j = 0 ; j < points_bezier.length; j++){ \\n \\n serie.add(points_bezier[j].getX(),points_bezier[j].getY()); \\n } \\n return serie; \\n}\",\n \"public abstract LocalDateDoubleTimeSeries getTimeSeries(ObservableKey key);\",\n \"private QuoteItem createQuoteItemsFromCommerceItem(\\n\\t\\t\\tfinal SiebelCommerceItem sblCommerceItem) {\\n\\t\\tQuoteItem quoteItem = new QuoteItem();\\n\\t\\tString id = (!StringUtils.isBlank(sblCommerceItem.getQuoteItemId()))?sblCommerceItem.getQuoteItemId():sblCommerceItem.getId();\\n\\t\\tquoteItem.setId(id);\\n\\t\\tfor (SiebelCommerceItem childCommerceItem : (List<SiebelCommerceItem>) sblCommerceItem\\n\\t\\t\\t\\t.getCommerceItems()) {\\n\\t\\t\\tQuoteItem childQuote = createQuoteItemsFromCommerceItem(childCommerceItem);\\n\\t\\t\\tquoteItem.getQuoteItem().add(childQuote);\\n\\t\\t}\\n\\t\\treturn quoteItem;\\n\\t}\",\n \"public StockExchange()\\n {\\n stocks = new ArrayList<Stock>();\\n }\",\n \"public static < T > BasicOrderedSeries< T > copy( final IntegerOrderedSeries< T > series )\\n\\t{\\n\\t\\tRequire.notNull( series );\\n\\t\\tfinal BasicOrderedSeries< T > copy = new BasicOrderedSeries< T >( series.size() );\\n\\t\\t\\n\\t\\tfor( BasicOrderedSeries.Entry< Integer, T > entry : series )\\n\\t\\t{\\n\\t\\t\\tcopy.add( (double)(int)entry.getKey(), entry.getElement() );\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn copy;\\n\\t}\",\n \"public interface TimeSeriesCollection {\\n\\n /** The getData() methods returns List of objects of this Class */\\n public Class getDataClass();\\n\\n /** Get number of points in the series */\\n public int getNumTimes();\\n\\n /** get the time of the nth point. */\\n public double getTime(int timePt);\\n\\n /**\\n * Get the units of Calendar time.\\n * To get a Date, from a time value, call DateUnit.getStandardDate(double value).\\n * To get units as a String, call DateUnit.getUnitsString().\\n */\\n public ucar.nc2.units.DateUnit getTimeUnits();\\n\\n /** Get the data for the nth point. @return Object of type getDataClass() */\\n public Object getData(int timePt);\\n}\",\n \"public Dataset from(Iri... iris) {\\n\\t\\taddElements(SparqlBuilder::from, iris);\\n\\n\\t\\treturn this;\\n\\t}\",\n \"protected abstract Collection createCollection();\",\n \"public MockAggregateEvent(List<QuoteEvent> inCompositeEvents)\\n {\\n this(new Date(),\\n new Equity(\\\"METC\\\"));\\n compositeEvents.addAll(inCompositeEvents);\\n }\",\n \"public Series (String t, String s){\\n title = t;\\n studio = s;\\n rating = \\\"PG\\\";\\n}\",\n \"public HumidityChart() {\\n this(new XYSeriesCollection());\\n }\",\n \"Dates() {\\n clear();\\n }\",\n \"protected abstract SingleTypeAdapter<E> createAdapter( final List<E> items );\",\n \"private XYDataset createDataset() {\\n\\t \\tXYSeriesCollection dataset = new XYSeriesCollection();\\n\\t \\t\\n\\t \\t//Definir cada Estacao\\n\\t\\t XYSeries aes1 = new XYSeries(\\\"Estação1\\\");\\n\\t\\t XYSeries aes2 = new XYSeries(\\\"Estação2\\\");\\n\\t\\t XYSeries aes3 = new XYSeries(\\\"Estação3\\\");\\n\\t\\t XYSeries aes4 = new XYSeries(\\\"Estação4\\\");\\n\\t\\t XYSeries aes5 = new XYSeries(\\\"Estação5\\\");\\n\\t\\t XYSeries aes6 = new XYSeries(\\\"Estação6\\\");\\n\\t\\t XYSeries aes7 = new XYSeries(\\\"Estação7\\\");\\n\\t\\t XYSeries aes8 = new XYSeries(\\\"Estação8\\\");\\n\\t\\t XYSeries aes9 = new XYSeries(\\\"Estação9\\\");\\n\\t\\t XYSeries aes10 = new XYSeries(\\\"Estação10\\\");\\n\\t\\t XYSeries aes11 = new XYSeries(\\\"Estação11\\\");\\n\\t\\t XYSeries aes12 = new XYSeries(\\\"Estação12\\\");\\n\\t\\t XYSeries aes13 = new XYSeries(\\\"Estação13\\\");\\n\\t\\t XYSeries aes14 = new XYSeries(\\\"Estação14\\\");\\n\\t\\t XYSeries aes15 = new XYSeries(\\\"Estação15\\\");\\n\\t\\t XYSeries aes16 = new XYSeries(\\\"Estação16\\\");\\n\\t\\t \\n\\t\\t //Definir numero de utilizadores em simultaneo para aparece na Interface\\n\\t\\t XYSeries au1 = new XYSeries(\\\"AU1\\\");\\n\\t\\t XYSeries au2 = new XYSeries(\\\"AU2\\\");\\n\\t\\t XYSeries au3 = new XYSeries(\\\"AU3\\\");\\n\\t\\t XYSeries au4 = new XYSeries(\\\"AU4\\\");\\n\\t\\t XYSeries au5 = new XYSeries(\\\"AU5\\\");\\n\\t\\t XYSeries au6 = new XYSeries(\\\"AU6\\\");\\n\\t\\t XYSeries au7 = new XYSeries(\\\"AU7\\\");\\n\\t\\t XYSeries au8 = new XYSeries(\\\"AU8\\\");\\n\\t\\t XYSeries au9 = new XYSeries(\\\"AU9\\\");\\n\\t\\t XYSeries au10 = new XYSeries(\\\"AU10\\\");\\n\\t\\t \\n\\t\\t //Colocar estacoes no gráfico\\n\\t\\t aes1.add(12,12);\\n\\t\\t aes2.add(12,37);\\n\\t\\t aes3.add(12,62);\\n\\t\\t aes4.add(12,87);\\n\\t\\t \\n\\t\\t aes5.add(37,12);\\n\\t\\t aes6.add(37,37);\\n\\t\\t aes7.add(37,62);\\n\\t\\t aes8.add(37,87);\\n\\t\\t \\n\\t\\t aes9.add(62,12); \\n\\t\\t aes10.add(62,37);\\n\\t\\t aes11.add(62,62);\\n\\t\\t aes12.add(62,87);\\n\\t\\t \\n\\t\\t aes13.add(87,12);\\n\\t\\t aes14.add(87,37);\\n\\t\\t aes15.add(87,62);\\n\\t\\t aes16.add(87,87);\\n\\t\\t \\n\\t\\t//Para a bicicleta 1\\n\\t\\t \\t\\n\\t\\t\\t for(Entry<String, String> entry : position1.entrySet()) {\\n\\t\\t\\t\\t String key = entry.getKey();\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t String[] part= key.split(\\\",\\\");\\n\\t\\t\\t\\t double keyX=Double.valueOf(part[0]);\\n\\t\\t\\t\\t double keyY=Double.valueOf(part[1]);\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t au1.add(keyX,keyY);\\n\\t\\t\\t }\\n\\t\\t \\n\\t\\t\\t //Para a bicicleta 2\\n\\t\\t for(Entry<String, String> entry : position2.entrySet()) {\\n\\t\\t\\t String key = entry.getKey();\\n\\t\\t\\t \\n\\t\\t\\t String[] part= key.split(\\\",\\\");\\n\\t\\t\\t double keyX=Double.valueOf(part[0]);\\n\\t\\t\\t double keyY=Double.valueOf(part[1]);\\n\\t\\t\\t \\n\\t\\t\\t au2.add(keyX,keyY);\\n\\t\\t }\\n\\t\\t \\n\\t\\t //Para a bicicleta 3\\n\\t\\t for(Entry<String, String> entry : position3.entrySet()) {\\n\\t\\t\\t String key = entry.getKey();\\n\\t\\t\\t \\n\\t\\t\\t String[] part= key.split(\\\",\\\");\\n\\t\\t\\t double keyX=Double.valueOf(part[0]);\\n\\t\\t\\t double keyY=Double.valueOf(part[1]);\\n\\t\\t\\t \\n\\t\\t\\t au3.add(keyX,keyY);\\n\\t\\t }\\n\\t\\t for(Entry<String, String> entry : position4.entrySet()) {\\n\\t\\t\\t String key = entry.getKey();\\n\\t\\t\\t \\n\\t\\t\\t String[] part= key.split(\\\",\\\");\\n\\t\\t\\t double keyX=Double.valueOf(part[0]);\\n\\t\\t\\t double keyY=Double.valueOf(part[1]);\\n\\t\\t\\t \\n\\t\\t\\t au4.add(keyX,keyY);\\n\\t\\t }\\n\\t\\t for(Entry<String, String> entry : position5.entrySet()) {\\n\\t\\t\\t String key = entry.getKey();\\n\\t\\t\\t \\n\\t\\t\\t String[] part= key.split(\\\",\\\");\\n\\t\\t\\t double keyX=Double.valueOf(part[0]);\\n\\t\\t\\t double keyY=Double.valueOf(part[1]);\\n\\t\\t\\t \\n\\t\\t\\t au5.add(keyX,keyY);\\n\\t\\t }\\n\\t\\t for(Entry<String, String> entry : position6.entrySet()) {\\n\\t\\t\\t String key = entry.getKey();\\n\\t\\t\\t \\n\\t\\t\\t String[] part= key.split(\\\",\\\");\\n\\t\\t\\t double keyX=Double.valueOf(part[0]);\\n\\t\\t\\t double keyY=Double.valueOf(part[1]);\\n\\t\\t\\t \\n\\t\\t\\t au6.add(keyX,keyY);\\n\\t\\t }\\n\\t\\t for(Entry<String, String> entry : position7.entrySet()) {\\n\\t\\t\\t String key = entry.getKey();\\n\\t\\t\\t \\n\\t\\t\\t String[] part= key.split(\\\",\\\");\\n\\t\\t\\t double keyX=Double.valueOf(part[0]);\\n\\t\\t\\t double keyY=Double.valueOf(part[1]);\\n\\t\\t\\t \\n\\t\\t\\t au7.add(keyX,keyY);\\n\\t\\t }\\n\\t\\t for(Entry<String, String> entry : position8.entrySet()) {\\n\\t\\t\\t String key = entry.getKey();\\n\\t\\t\\t \\n\\t\\t\\t String[] part= key.split(\\\",\\\");\\n\\t\\t\\t double keyX=Double.valueOf(part[0]);\\n\\t\\t\\t double keyY=Double.valueOf(part[1]);\\n\\t\\t\\t \\n\\t\\t\\t au8.add(keyX,keyY);\\n\\t\\t }\\n\\t\\t for(Entry<String, String> entry : position9.entrySet()) {\\n\\t\\t\\t String key = entry.getKey();\\n\\t\\t\\t \\n\\t\\t\\t String[] part= key.split(\\\",\\\");\\n\\t\\t\\t double keyX=Double.valueOf(part[0]);\\n\\t\\t\\t double keyY=Double.valueOf(part[1]);\\n\\t\\t\\t \\n\\t\\t\\t au9.add(keyX,keyY);\\n\\t\\t }\\n\\t\\t for(Entry<String, String> entry : position10.entrySet()) {\\n\\t\\t\\t String key = entry.getKey();\\n\\t\\t\\t \\n\\t\\t\\t String[] part= key.split(\\\",\\\");\\n\\t\\t\\t double keyX=Double.valueOf(part[0]);\\n\\t\\t\\t double keyY=Double.valueOf(part[1]);\\n\\t\\t\\t \\n\\t\\t\\t au10.add(keyX,keyY);\\n\\t\\t }\\n\\t\\t \\n\\t\\t //Add series to dataset\\n\\t\\t dataset.addSeries(au1);\\n\\t\\t dataset.addSeries(au2);\\n\\t\\t dataset.addSeries(au3);\\n\\t\\t dataset.addSeries(au4);\\n\\t\\t dataset.addSeries(au5);\\n\\t\\t dataset.addSeries(au6);\\n\\t\\t dataset.addSeries(au7);\\n\\t\\t dataset.addSeries(au8);\\n\\t\\t dataset.addSeries(au9);\\n\\t\\t dataset.addSeries(au10);\\n\\t\\t \\n\\t\\t \\n\\t\\t dataset.addSeries(aes1);\\n\\t\\t dataset.addSeries(aes2);\\n\\t\\t dataset.addSeries(aes3);\\n\\t\\t dataset.addSeries(aes4);\\n\\t\\t dataset.addSeries(aes5);\\n\\t\\t dataset.addSeries(aes6);\\n\\t\\t dataset.addSeries(aes7);\\n\\t\\t dataset.addSeries(aes8);\\n\\t\\t dataset.addSeries(aes9);\\n\\t\\t dataset.addSeries(aes10);\\n\\t\\t dataset.addSeries(aes11);\\n\\t\\t dataset.addSeries(aes12);\\n\\t\\t dataset.addSeries(aes13);\\n\\t\\t dataset.addSeries(aes14);\\n\\t\\t dataset.addSeries(aes15);\\n\\t\\t dataset.addSeries(aes16);\\n\\t\\t \\n\\t\\t return dataset;\\n\\t }\",\n \"private JPanel createChartPanel(XYSeriesCollection li) {\\n\\n String chartTitle = \\\" Movement Chart\\\";\\n String xAxisLabel = \\\"Matrix Size\\\";\\n String yAxisLabel = \\\"time in ms\\\";\\n\\n XYSeriesCollection dataset = li;\\n // System.out.println(\\\"tesst count \\\" + dataset.getSeriesCount());\\n\\n //XYDataset dataset = createDataset(li);\\n JFreeChart chart = ChartFactory.createXYLineChart(chartTitle, xAxisLabel, yAxisLabel, dataset);\\n XYPlot plot = chart.getXYPlot();\\n XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer();\\n plot.setRenderer(renderer);\\n\\n return new ChartPanel(chart);\\n }\",\n \"private XYChart.Series<Number, Number> getFortySeries() {\\n //Create new series\\n XYChart.Series<Number, Number> series = new XYChart.Series<>();\\n series.setName(\\\"Chemical Concentration\\\");\\n Random rand = new Random();\\n int c = 5; // Constant for x-axis scale\\n for (int i = 0; i < 17; i++) {\\n int y = rand.nextInt() % 5 + 10;\\n series.getData().add(new XYChart.Data<>(i*5, y));\\n }\\n series.getData().add(new XYChart.Data<>(17 * c, 17));\\n series.getData().add(new XYChart.Data<>(18 * c, 21));\\n series.getData().add(new XYChart.Data<>(19 * c, 40));\\n series.getData().add(new XYChart.Data<>(20 * c, 39));\\n series.getData().add(new XYChart.Data<>(21 * c, 36));\\n series.getData().add(new XYChart.Data<>(22 * c, 21));\\n\\n for (int i = 23; i < 30; i++) {\\n int y = rand.nextInt() % 5 + 10;\\n series.getData().add(new XYChart.Data<>(i*5, y));\\n }\\n return series;\\n }\",\n \"public IndexedSetView(final Collection<T> items) {\\n\\t\\tthis(items, Random.class);\\n\\t}\",\n \"public Frequency(ArrayList<LottoDay> list) {\\n\\n\\t\\tfill(list);//fill the maps\\n\\t}\",\n \"public MyAdapter(ArrayList<MyData> myDataset) {\\n\\n mDataset = myDataset;\\n }\",\n \"private XYMultipleSeriesDataset getdemodataset() {\\n\\t\\t\\tdataset1 = new XYMultipleSeriesDataset();// xy轴数据源\\n\\t\\t\\tseries = new XYSeries(\\\"温度 \\\");// 这个事是显示多条用的，显不显示在上面render设置\\n\\t\\t\\t// 这里相当于初始化，初始化中无需添加数据，因为如果这里添加第一个数据的话，\\n\\t\\t\\t// 很容易使第一个数据和定时器中更新的第二个数据的时间间隔不为两秒，所以下面语句屏蔽\\n\\t\\t\\t// 这里可以一次更新五个数据，这样的话相当于开始的时候就把五个数据全部加进去了，但是数据的时间是不准确或者间隔不为二的\\n\\t\\t\\t// for(int i=0;i<5;i++)\\n\\t\\t\\t// series.add(1, Math.random()*10);//横坐标date数据类型，纵坐标随即数等待更新\\n\\n\\t\\t\\tdataset1.addSeries(series);\\n\\t\\t\\treturn dataset1;\\n\\t\\t}\",\n \"public LineChart() {\\n init();\\n }\",\n \"protected XSSFChart() {\\n\\t\\tsuper();\\n\\t\\tcreateChart();\\n\\t}\",\n \"public TimeSeries getTimeSeries(String serie_name){ \\n //First, we create the TimeSeries to return \\n TimeSeries time_serie= new TimeSeries(serie_name,Second.class); \\n \\n //Gets the Bezier curves \\n Point2D[] points_bezier = getPoint2DArray(); \\n \\n for(int j = 0 ; j < points_bezier.length; j++){ \\n //System.out.println(j + \\\" X --> \\\" + points_bezier[j].getX()); \\n //time_serie.add(RegularTimePeriod.createInstance(Second.class,new Date((long)points_bezier[j].getX()),RegularTimePeriod.DEFAULT_TIME_ZONE),points_bezier[j].getY()); \\n time_serie.add(new Second(new Date((long)points_bezier[j].getX())),points_bezier[j].getY()); \\n } \\n \\n \\n return time_serie; \\n}\",\n \"public void addDailyReport(GregorianCalendar date, LinkedList<Reading> readings){\\r\\n LinkedList<Double> loRainfall = new LinkedList<>();\\r\\n LinkedList<Double> loTemp = new LinkedList<>();\\r\\n for(Reading read : readings)\\r\\n loRainfall.add(read.getRainfall());\\r\\n for(Reading read : readings)\\r\\n loTemp.add(read.getTemp());\\r\\n dailyReports.add(new DailyWeatherReport(date, loTemp, loRainfall));\\r\\n }\",\n \"ResourceCollection<SubscriptionDailyUsageRecord> get();\",\n \"private void initChart() {\\n Cartesian cartesian = AnyChart.line();\\n\\n cartesian.animation(true);\\n\\n cartesian.padding(10d, 20d, 5d, 20d);\\n\\n cartesian.crosshair().enabled(true);\\n cartesian.crosshair()\\n .yLabel(true)\\n // TODO ystroke\\n .yStroke((Stroke) null, null, null, (String) null, (String) null);\\n\\n cartesian.tooltip().positionMode(TooltipPositionMode.POINT);\\n\\n cartesian.title(\\\"Steps taken in this week and last week\\\");\\n\\n cartesian.yAxis(0).title(\\\"Steps\\\");\\n cartesian.xAxis(0).labels().padding(5d, 5d, 5d, 5d);\\n\\n List<DataEntry> seriesData = new ArrayList<>();\\n Log.d(\\\"Size This Week\\\",stepsTakenModelsThisWeek.size()+\\\"\\\");\\n for(int i = 0 ; i<7 ; i++){\\n CustomDataEntry c = new CustomDataEntry(days[i],stepsTakenModelsLastWeek.get(i).getSteps());\\n if(i<stepsTakenModelsThisWeek.size()){\\n c.setValue(\\\"value2\\\",stepsTakenModelsThisWeek.get(i).getSteps());\\n }else{\\n if(DateUtilities.getDayInAbbBySelectedDate(stepsTakenModelsLastWeek.get(i).getDate()).equals(\\n DateUtilities.getCurrentDayInAbb()))\\n {\\n c.setValue(\\\"value2\\\",stepsToday);\\n }else{\\n c.setValue(\\\"value2\\\",0);\\n }\\n }\\n seriesData.add(c);\\n }\\n\\n Set set = Set.instantiate();\\n set.data(seriesData);\\n Mapping series1Mapping = set.mapAs(\\\"{ x: 'x', value: 'value' }\\\");\\n Mapping series2Mapping = set.mapAs(\\\"{ x: 'x', value: 'value2' }\\\");\\n\\n Line series1 = cartesian.line(series1Mapping);\\n series1.name(\\\"Last Week\\\");\\n series1.hovered().markers().enabled(true);\\n series1.hovered().markers()\\n .type(MarkerType.CIRCLE)\\n .size(4d);\\n series1.tooltip()\\n .position(\\\"right\\\")\\n .anchor(Anchor.LEFT_CENTER)\\n .offsetX(5d)\\n .offsetY(5d);\\n\\n Line series2 = cartesian.line(series2Mapping);\\n series2.name(\\\"This Week\\\");\\n series2.hovered().markers().enabled(true);\\n series2.hovered().markers()\\n .type(MarkerType.CIRCLE)\\n .size(4d);\\n series2.tooltip()\\n .position(\\\"right\\\")\\n .anchor(Anchor.LEFT_CENTER)\\n .offsetX(5d)\\n .offsetY(5d);\\n\\n\\n cartesian.legend().enabled(true);\\n cartesian.legend().fontSize(13d);\\n cartesian.legend().padding(0d, 0d, 10d, 0d);\\n\\n chart.setChart(cartesian);\\n }\",\n \"public void addSeries(DataSeries aSeries) { _dataSet.addSeries(aSeries); }\",\n \"public BasicOrderedSeries( final int initialCapacity )\\n\\t{\\n\\t\\tsuper( initialCapacity );\\n\\t}\",\n \"public List<Quote> getQuoteHistory(Instrument instrument, Period period, \\r\\n \\t\\tDate fromDate, Date toDate)\\r\\n throws PersistenceException;\",\n \"public static Sale fromArray(String[] line) {\\n\\t\\tSale sale = new Sale();\\n\\t\\tsale.setId(Long.parseLong(line[1]));\\n\\n\\t\\t// Parse and calculate Sale value\\n\\t\\tdouble totalSale = 0;\\n\\t\\tString[] strItems = line[2].replace(\\\"[\\\", \\\"\\\").replace(\\\"]\\\", \\\"\\\").split(\\\",\\\");\\n\\t\\tif (strItems.length > 0){\\n\\t\\t\\tfor(String strItem : strItems){\\n\\t\\t\\t\\tString[] itemSplit = strItem.split(\\\"-\\\");\\n\\t\\t\\t\\tif (itemSplit.length == 3){\\n\\t\\t\\t\\t\\tdouble totalItem = Double.parseDouble(itemSplit[1]) * Double.parseDouble(itemSplit[2]);\\n\\t\\t\\t\\t\\ttotalSale += totalItem;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tsale.setTotal(totalSale);\\n\\t\\treturn sale;\\n\\n\\t}\",\n \"private static void insertTimeSeriesOneDim(final ScriptEngine engine,\\r\\n final DataArray data) throws Exception {\\r\\n List<DataEntry> time = data.getDate();\\r\\n int freq = TimeUtils.getFrequency(time);\\r\\n List<Double> doubleList = data.getDouble();\\r\\n double[] doubleArray = new double[doubleList.size()];\\r\\n for (int i = 0; i < doubleList.size(); i++) {\\r\\n doubleArray[i] = doubleList.get(i);\\r\\n }\\r\\n engine.put(\\\"my_double_vector\\\", doubleArray);\\r\\n engine.eval(\\\"ts_0 <- ts(my_double_vector, frequency = \\\"\\r\\n + freq + \\\")\\\");\\r\\n }\",\n \"public Literature convertToSeries() {\\n BookSeries bookSeries = new BookSeries(getTitle(), getPublisher(), getGenre(), getAuthor());\\n bookSeries.addBookToSeries(this);\\n return bookSeries;\\n }\",\n \"static <R,C> DataFrame<R,C> ofObjects(Iterable<R> rowKeys, C colKey) {\\n return DataFrame.factory().from(rowKeys, Index.singleton(colKey), Object.class);\\n }\",\n \"public DailyReport genDailyReport(GregorianCalendar date) \\n\\t\\t\\tthrows SQLException, ClassNotFoundException, IOException\\n\\t{\\n\\t\\tif(this.conn == null)\\n\\t\\t\\tthis.conn = JDBCConnection.getConnection();\\n\\n\\t\\tString sql = \\\"SELECT I.upc, \\\\n\\\" +\\n\\t\\t\\t\\t \\t \\\" I.category, \\\\n\\\" +\\n\\t\\t\\t\\t \\t \\\" I.price, \\\\n\\\" +\\n\\t\\t\\t\\t \\t \\\" PI.quantity, \\\\n\\\" +\\n\\t\\t\\t\\t \\t \\\" I.price * PI.quantity \\\\n\\\" +\\n\\t\\t\\t\\t \\t \\\"FROM Purchase P, PurchaseItem PI, Item I \\\\n\\\" +\\n\\t\\t\\t\\t \\t \\\"WHERE P.receiptId = PI.receiptId AND \\\\n\\\" +\\n\\t\\t\\t\\t \\t \\\" PI.upc = I.upc AND \\\\n\\\" +\\n\\t\\t\\t\\t \\t \\\" P.pDate = ? \\\\n\\\" +\\n\\t\\t\\t\\t \\t \\\"ORDER BY I.category \\\\n\\\";\\n\\t\\tPreparedStatement stmt = conn.prepareStatement(sql);\\n\\t\\tDate temp = new Date(date.get(Calendar.YEAR) - 1900, \\n\\t\\t\\t\\t\\t\\t\\t date.get(Calendar.MONTH) - 1, \\n\\t\\t\\t\\t\\t\\t\\t date.get(Calendar.DAY_OF_MONTH));\\n\\t\\tstmt.setDate(1, temp);\\n\\t\\t\\n\\t\\ttry\\n\\t\\t{\\n\\t\\t\\tResultSet result = stmt.executeQuery();\\n\\t\\t\\tArrayList<Triple<String, ArrayList<ReportItem>, Double>>\\n\\t\\t\\t\\ttuples = new ArrayList<Triple<String, ArrayList<ReportItem>, Double>>();\\n\\n\\t\\t\\tif(!result.next())\\n\\t\\t\\t//if empty resultset, return empty report\\n\\t\\t\\t\\treturn new DailyReport(tuples);\\n\\t\\t\\t\\n\\t\\t\\t//3 Passes:\\n\\t\\t\\t//1st: Store everything on the list\\n\\t\\t\\tArrayList<ReportItem> raw_list = new ArrayList<ReportItem>();\\n\\t\\t\\tdo\\n\\t\\t\\t{\\n\\t\\t\\t\\tString upc = result.getString(1);\\n\\t\\t\\t\\tString cat = result.getString(2);\\n\\t\\t\\t\\tdouble price_$ = result.getDouble(3);\\n\\t\\t\\t\\tint qty_sold = result.getInt(4);\\n\\t\\t\\t\\tdouble total_$ = result.getDouble(5);\\n\\n\\t\\t\\t\\tReportItem item = new ReportItem(upc, cat, price_$, qty_sold, total_$);\\n\\t\\t\\t\\traw_list.add(item);\\t\\n\\t\\t\\t}while(result.next());\\n\\t\\t\\t\\n\\t\\t\\t//2nd: combine any duplicate item\\n\\t\\t\\tArrayList<ReportItem> lst_no_dup = new ArrayList<ReportItem>();\\n\\t\\t\\tfor(int row = 0; row < raw_list.size(); row++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tString current_upc = raw_list.get(row).getUPC();\\n\\t\\t\\t\\tint unit_sold = raw_list.get(row).getUnits();\\n\\t\\t\\t\\tdouble item_total = raw_list.get(row).getTotalSale();\\n\\t\\t\\t\\tfor(int fol_row = row + 1; \\n\\t\\t\\t\\t\\tfol_row < raw_list.size() && \\n\\t\\t\\t\\t\\t\\t\\traw_list.get(fol_row).getUPC().equals(current_upc); \\n\\t\\t\\t\\t\\tfol_row++)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tunit_sold += raw_list.get(fol_row).getUnits();\\n\\t\\t\\t\\t\\titem_total += raw_list.get(fol_row).getTotalSale();\\n\\t\\t\\t\\t\\trow = fol_row;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tReportItem itm = new ReportItem(raw_list.get(row).getUPC(),\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\traw_list.get(row).getCategory(),\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\traw_list.get(row).getUnitPrices(),\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tunit_sold, item_total);\\n\\t\\t\\t\\tlst_no_dup.add(itm);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t//3rd: accounting for each category\\n\\t\\t\\tfor(int row = 0; row < lst_no_dup.size(); row++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tString current_cat = lst_no_dup.get(row).getCategory();\\n\\t\\t\\t\\tdouble cat_total = lst_no_dup.get(row).getTotalSale();\\n\\t\\t\\t\\tint start_ind = row;\\n\\t\\t\\t\\tint end_ind = row;\\n\\t\\t\\t\\tfor(int fol_row = row + 1; \\n\\t\\t\\t\\t\\tfol_row < lst_no_dup.size() && \\n\\t\\t\\t\\t\\tlst_no_dup.get(fol_row).getCategory().equals(current_cat);\\n\\t\\t\\t\\t\\tfol_row++)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tcat_total += lst_no_dup.get(fol_row).getTotalSale();\\n\\t\\t\\t\\t\\trow = fol_row;\\n\\t\\t\\t\\t\\tend_ind++;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t//make a sublist:\\n\\t\\t\\t\\tArrayList<ReportItem> sublist = new ArrayList<ReportItem>();\\n\\t\\t\\t\\tfor(int col = start_ind; col <= end_ind; col++)\\n\\t\\t\\t\\t\\tsublist.add(lst_no_dup.get(col));\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tTriple<String, ArrayList<ReportItem>, Double>\\n\\t\\t\\t\\ta_tuple = new Triple<String, ArrayList<ReportItem>, Double>\\n\\t\\t\\t\\t\\t\\t\\t\\t(current_cat, sublist, new Double(cat_total));\\n\\t\\t\\t\\ttuples.add(a_tuple);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\treturn new DailyReport(tuples);\\n\\t\\t}\\n\\t\\tfinally\\n\\t\\t{\\n\\t\\t\\tstmt.close();\\n\\t\\t}\\n\\t}\",\n \"static <R,C> DataFrame<R,C> ofDoubles(R rowKey, Iterable<C> colKeys) {\\n return DataFrame.factory().from(Index.singleton(rowKey), colKeys, Double.class);\\n }\",\n \"public static Dataset createDataset(RepositoryConnection connection)\\n {\\n DatasetGraph dsg = new JenaSesameDatasetGraph(connection) ;\\n return DatasetFactory.wrap(dsg) ;\\n }\",\n \"public TradingDayInfo(String ticker, String date, double openingPrice, double highPrice, double lowPrice, double closingPrice) {\\n this.ticker = ticker;\\n this.date = date;\\n this.openingPrice = openingPrice;\\n this.highPrice = highPrice;\\n this.lowPrice = lowPrice;\\n this.closingPrice = closingPrice;\\n \\n \\n return;\\n }\",\n \"public XYSeries(String name) {\\n\\t\\tthis.name = name;\\n\\t\\tpointList = new ArrayList<Point2D>(1024);\\n\\t}\",\n \"public FeedCustomAdapter(List<Post> dataSet) {\\n outfitDataSet = dataSet;\\n }\",\n \"@Override\\n\\tpublic void addSeries(final String title, final double[] xs,\\n\\t\\t\\tfinal double[] ys) {\\n\\t\\tXYSeries series = new XYSeries(title, false, true);\\n\\t\\tfor (int i = 0, n = Math.min(xs.length, ys.length); i < n; i++) {\\n\\t\\t\\tseries.add(xs[i], ys[i]);\\n\\t\\t}\\n\\t\\tthis.dataset.addSeries(series);\\n\\t}\",\n \"@NonNull\\n default T feed(\\n @NonNull Iterator<Map<String, Object>> feeder, Function<Session, Integer> numberOfRecords) {\\n return ScalaFeeds.apply(this, feeder, numberOfRecords);\\n }\",\n \"public ServiceIndexesPerDateRecord() {\\n super(ServiceIndexesPerDate.SERVICE_INDEXES_PER_DATE);\\n }\",\n \"@Override\\r\\n\\tpublic boolean addAll(Collection<? extends SeriesEntry> c)\\r\\n\\t{\\n\\t\\tthrow new UnsupportedOperationException(\\\"Series collection doesn't support this operation.\\\");\\r\\n\\t}\",\n \"protected void readCollection(Collection<Integer> series)\\n {\\n size = series.size();\\n if(size==0)\\n return;\\n x = new double[size];\\n Iterator<Integer> i = series.iterator();\\n for(int t = 0; i.hasNext(); t++)\\n x[t] = (i.next()).doubleValue();\\n if(size<2)\\n return;\\n r = new double[size - 1];\\n for(int t = 1; t<size; t++)\\n r[t - 1] = Math.log(x[t]/x[t - 1]); \\n }\",\n \"public DailyMessagesChart(final String title, final List<DateCounter> data)\\n {\\n super(title);\\n initializeChart(data);\\n }\",\n \"public static ComicCollectionEntity create(String name, int id, Date dateCreated) {\\n return new ComicCollectionEntity(name, id, dateCreated);\\n }\",\n \"public static LinkedList<LinkedList<EventInstance>> convertToEventInstances(LinkedList<HistoricalTrace> positiveTraces, EpqlContext ctx) {\\n\\t\\tLinkedList<LinkedList<EventInstance>> tracesAsEventInstances = new LinkedList<LinkedList<EventInstance>>();\\n\\n\\t\\tfor (HistoricalTrace t : positiveTraces) {\\n\\t\\t\\tLinkedList<EventInstance> currentTraceAsEventInstances = new LinkedList<EventInstance>();\\n\\n\\t\\t\\tfor (GenericEvent e : t.getEvents()) {\\n\\t\\t\\t\\tHashMap<String, Value> nominalAttributes = new HashMap<String, Value>();\\n\\n\\t\\t\\t\\t// use the event type as a nominal attribute as well\\n\\t\\t\\t\\tnominalAttributes.put(EventInstance.PREFIX_FOR_EVENTTYPE_NAME + \\\"EventTypeName\\\", new Value(e.getTypeName()));\\n\\n\\t\\t\\t\\tIterator<String> iterator = e.getAttributes().keySet().iterator();\\n\\t\\t\\t\\twhile (iterator.hasNext()) {\\n\\t\\t\\t\\t\\tString attrName = iterator.next();\\n\\t\\t\\t\\t\\tValue attrValue = e.getAttributeValue(attrName);\\n\\t\\t\\t\\t\\tif (!ctx.isONLY_USE_STRINGS_FOR_RELEVANT_EVENT_INSTANCES() || attrValue.getType().equals(EValueType.STRING)) {\\n\\t\\t\\t\\t\\t\\tnominalAttributes.put(attrName, attrValue);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tcurrentTraceAsEventInstances.add(new EventInstance(nominalAttributes, e.getTypeName()));\\n\\t\\t\\t}\\n\\n\\t\\t\\ttracesAsEventInstances.add(currentTraceAsEventInstances);\\n\\t\\t}\\n\\n\\t\\treturn tracesAsEventInstances;\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5225168","0.51628864","0.5085745","0.50808245","0.4996711","0.4959507","0.48796365","0.4837174","0.48033255","0.47983602","0.46557888","0.46286884","0.4625884","0.4601717","0.45996085","0.45935482","0.4593343","0.45831278","0.45741603","0.45392412","0.45005393","0.44986185","0.44932243","0.4468518","0.44547212","0.44325194","0.44244862","0.4422791","0.4418785","0.4417251","0.44151545","0.43966398","0.43885392","0.4379054","0.43632656","0.43555626","0.4353824","0.43292078","0.43139938","0.43016937","0.42974886","0.4291279","0.4289776","0.42749596","0.42730713","0.42728552","0.42697045","0.42644727","0.4259399","0.4258324","0.42491174","0.4225917","0.4219888","0.4219042","0.42188913","0.42164904","0.42146945","0.42124254","0.4204868","0.42001894","0.41906232","0.41851038","0.41833276","0.41675702","0.41664314","0.41523373","0.4151658","0.4147972","0.4125532","0.41152155","0.4114549","0.41123247","0.41115588","0.41100356","0.4101277","0.40968728","0.40956986","0.4094887","0.40907928","0.40884438","0.40834257","0.4083275","0.40828285","0.40813547","0.40719435","0.40684894","0.40670082","0.40666983","0.4065746","0.40635204","0.40614885","0.40550196","0.40486428","0.40481323","0.40456888","0.40414667","0.40353227","0.40285218","0.4027985","0.40220544"],"string":"[\n \"0.5225168\",\n \"0.51628864\",\n \"0.5085745\",\n \"0.50808245\",\n \"0.4996711\",\n \"0.4959507\",\n \"0.48796365\",\n \"0.4837174\",\n \"0.48033255\",\n \"0.47983602\",\n \"0.46557888\",\n \"0.46286884\",\n \"0.4625884\",\n \"0.4601717\",\n \"0.45996085\",\n \"0.45935482\",\n \"0.4593343\",\n \"0.45831278\",\n \"0.45741603\",\n \"0.45392412\",\n \"0.45005393\",\n \"0.44986185\",\n \"0.44932243\",\n \"0.4468518\",\n \"0.44547212\",\n \"0.44325194\",\n \"0.44244862\",\n \"0.4422791\",\n \"0.4418785\",\n \"0.4417251\",\n \"0.44151545\",\n \"0.43966398\",\n \"0.43885392\",\n \"0.4379054\",\n \"0.43632656\",\n \"0.43555626\",\n \"0.4353824\",\n \"0.43292078\",\n \"0.43139938\",\n \"0.43016937\",\n \"0.42974886\",\n \"0.4291279\",\n \"0.4289776\",\n \"0.42749596\",\n \"0.42730713\",\n \"0.42728552\",\n \"0.42697045\",\n \"0.42644727\",\n \"0.4259399\",\n \"0.4258324\",\n \"0.42491174\",\n \"0.4225917\",\n \"0.4219888\",\n \"0.4219042\",\n \"0.42188913\",\n \"0.42164904\",\n \"0.42146945\",\n \"0.42124254\",\n \"0.4204868\",\n \"0.42001894\",\n \"0.41906232\",\n \"0.41851038\",\n \"0.41833276\",\n \"0.41675702\",\n \"0.41664314\",\n \"0.41523373\",\n \"0.4151658\",\n \"0.4147972\",\n \"0.4125532\",\n \"0.41152155\",\n \"0.4114549\",\n \"0.41123247\",\n \"0.41115588\",\n \"0.41100356\",\n \"0.4101277\",\n \"0.40968728\",\n \"0.40956986\",\n \"0.4094887\",\n \"0.40907928\",\n \"0.40884438\",\n \"0.40834257\",\n \"0.4083275\",\n \"0.40828285\",\n \"0.40813547\",\n \"0.40719435\",\n \"0.40684894\",\n \"0.40670082\",\n \"0.40666983\",\n \"0.4065746\",\n \"0.40635204\",\n \"0.40614885\",\n \"0.40550196\",\n \"0.40486428\",\n \"0.40481323\",\n \"0.40456888\",\n \"0.40414667\",\n \"0.40353227\",\n \"0.40285218\",\n \"0.4027985\",\n \"0.40220544\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.5644957"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":19781,"cells":{"query":{"kind":"string","value":"Reads the series from a collection of floating point values in double precision."},"document":{"kind":"string","value":"protected void readCollection(Collection<Integer> series)\n {\n size = series.size();\n if(size==0)\n return;\n x = new double[size];\n Iterator<Integer> i = series.iterator();\n for(int t = 0; i.hasNext(); t++)\n x[t] = (i.next()).doubleValue();\n if(size<2)\n return;\n r = new double[size - 1];\n for(int t = 1; t<size; t++)\n r[t - 1] = Math.log(x[t]/x[t - 1]); \n }"},"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":["public static double[] readDoubles() {\n return readAllDoubles();\n }","public abstract void read_double_array(double[] value, int offset, int\nlength);","public abstract double readAsDbl(int offset);","double readDouble();","double readDouble() throws IOException;","private Data[] getFloats(double value, int npoints, int nattributes)\n\t{\n\t\tData[] data = new Data[npoints];\n\t\tfor (int i = 0; i < npoints; i++)\n\t\t\tdata[i] = nattributes == 1 ? new DataFloat((float) value)\n\t\t: new DataArrayOfFloats(new float[] { (float) value,\n\t\t\t\t(float) value });\n\t\t\treturn data;\n\t}","public abstract double read_double();","@Override\n\tpublic List<double[]> read(String fileName) {\n\t\tlogger.info(\"Loading data from \" + fileName);\n\t\tList<double[]> records = new ArrayList<double[]>();\n\t\tCsvReader csvReader = null;\n\t\ttry{\n\t\t\tcsvReader = new CsvReader(fileName);\n\t\t\t\n\t\t\t\n\t\t\twhile(csvReader.readRecord()){\n\t\t\t\tint cols = csvReader.getColumnCount();\n\t\t\t\tdouble[] record = new double[cols];\n\t\t\t\tfor(int i=0; i< cols; i++){\n\t\t\t\t\trecord[i] = Double.parseDouble(csvReader.get(i));\n\t\t\t\t}\n\t\t\t\trecords.add(record);\n\t\t\t}\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t}catch(Exception e){\n\t\t\te.printStackTrace();\n\t\t\tthrow new LoadDataException(e);\n\t\t}finally{\n\t\t\tif(csvReader != null){\n\t\t\t\tcsvReader.close();\n\t\t\t}\n\t\t}\n\t\t\n\t\treturn records;\n\t}","@Override\r\n\tpublic void setDataSeries(List<Double> factValues) {\n\r\n\t}","public abstract void read_float_array(float[] value, int offset, int\nlength);","float readFloat();","public Iterable<Double> getDoubles(String key);","public abstract double[] toDoubleArray();","public Iterable<Float> getFloats(String key);","java.util.List<java.lang.Double> getFileList();","public double parseDouble()\r\n {\r\n String str = feed.findWithinHorizon( REAL_PATTERN, 0 );\r\n \r\n if( str == null )\r\n throw new NumberFormatException( \"[Line \" + lineNum + \"] Input did not match a real number\" );\r\n else if( str.length() == 0 )\r\n throw new NumberFormatException( \"[Line \" + lineNum + \"] Input did not match a real number\" );\r\n \r\n return Double.parseDouble( str );\r\n }","String floatRead();","public double[] getDoubleList();","static public DoubleList readVector(BufferedReader reader) throws IOException {\r\n int dim = Integer.parseInt(reader.readLine());\r\n DoubleList vector = new DoubleArrayList(dim);\r\n for (int i = 0; i < dim; i++) {\r\n double v = Double.parseDouble(reader.readLine());\r\n vector.add(v);\r\n }\r\n return vector;\r\n }","void writeDoubles(double[] d, int off, int len) throws IOException;","private Data[] getDoubles(double value, int npoints, int nattributes)\n\t{\n\t\tData[] data = new Data[npoints];\n\t\tfor (int i = 0; i < npoints; i++)\n\t\t\tdata[i] = nattributes == 1 ? new DataDouble(value)\n\t\t: new DataArrayOfDoubles(new double[] { value, value });\n\t\t\treturn data;\n\t}","public static java.util.Iterator<org.semanticwb.process.schema.Float> listFloats()\r\n {\r\n java.util.Iterator it=sclass.listInstances();\r\n return new org.semanticwb.model.GenericIterator<org.semanticwb.process.schema.Float>(it, true);\r\n }","public static double[] readDoubleVector(DataInputStream input) throws IOException {\n int length = input.readInt();\n\n double[] ret = new double[length];\n\n for (int i = 0; i < length; i++) {\n double value = input.readDouble();\n ret[i] = value;\n }\n\n return ret;\n }","public double[] getAsDoubles() {\n return (double[])data;\n }","public void nextDoubles(double[] d) {\n real.nextDoubles(d);\n }","public Object[] getScriptOfValuesAsDouble() {\r\n\t\tArrayList valueDouble;\r\n\t\tvalueDouble = new ArrayList<Double>();\r\n\r\n\t\tfor (DataVariable var : dataTestModel) {\r\n\t\t\tif (var.getType().equals(\"double\") || var.getType().equals(\"int\")) {\r\n\r\n\t\t\t\tif (var.getValue() != null && !var.getValue().equals(\"\") && !var.getValue().equals(\"NaN\")) {\r\n\r\n\t\t\t\t\tvalueDouble.add(var.getValue());\r\n\r\n\t\t\t\t} else {\r\n\t\t\t\t\tvalueDouble.add(0);\r\n\t\t\t\t}\r\n\t\t\t}\r\n\r\n\t\t}\r\n\t\tObject[] values = new Object[valueDouble.size()];\r\n\t\tint i = 0;\r\n\t\tfor (Object d : valueDouble) {\r\n\t\t\tif (d == null) {\r\n\t\t\t\td = 0.0;\r\n\t\t\t}\r\n\r\n\t\t\tvalues[i] = d;\r\n\r\n\t\t\ti++;\r\n\t\t}\r\n\t\treturn values;\r\n\r\n\t}","public abstract float read_float();","private static float[] readFloatArray( URL loc ) throws IOException {\n DataInputStream in =\n new DataInputStream( new BufferedInputStream( loc.openStream() ) );\n FloatList flist = new FloatList();\n try {\n while ( true ) {\n float value = in.readFloat();\n if ( value >= 0f && value <= 1f ) {\n flist.add( value );\n }\n else {\n throw new IOException( \"RGB values out of range\" );\n }\n }\n }\n catch ( EOFException e ) {\n return flist.toFloatArray();\n }\n finally {\n in.close();\n }\n }","@Override\n public LinkedList<Double> call() {\n for (int string = 0; string < line.length; string++) {\n String numberString = super.cleanTextContent(line[string]);\n try {\n double number = Double.parseDouble(numberString);\n values.add(number);\n } catch (NumberFormatException numberFormatException) {\n numberFormatException.printStackTrace();\n }\n }\n Collections.sort(values);\n while (values.size() > valuesToKeep) {\n values.removeLast();\n }\n return values;\n }","public double doubleValue(final int i) {\n if (!isInteger(i)) {\n return Float.intBitsToFloat((int) values[i]);\n }\n throw new ClassCastException(\"value #\" + i + \" is not a float in \" + this);\n }","public ArrayDouble getRecordValues(State state) {\n return new ArrayDouble(opensimSimulationJNI.ExpressionBasedPointToPointForce_getRecordValues(swigCPtr, this, State.getCPtr(state), state), true);\n }","public double[] getDoubleArray(String name)\r\n throws NumberFormatException\r\n {\r\n String[] data = getString(name).split(\",\");\r\n double[] value = new double[data.length];\r\n for( int i=0; i<data.length; i++ )\r\n value[i] = Double.parseDouble(data[i].trim());\r\n \r\n return value;\r\n }","public us.ihmc.idl.IDLSequence.Float getValues()\n {\n return values_;\n }","public float[] getFloatArray(String property)\n\tthrows PropertiesPlusException\n\t{\n\t\tString value = getProperty(property);\n\t\tif (value == null)\n\t\t\treturn null;\n\t\ttry\n\t\t{\n\t\t\tScanner in = new Scanner(value.trim().replaceAll(\",\", \" \"));\n\t\t\tArrayListFloat flt = new ArrayListFloat();\n\t\t\twhile (in.hasNext())\n\t\t\t\tflt.add(in.nextFloat());\n\t\t\tin.close();\n\n\t\t\treturn flt.toArray();\n\t\t}\n\t\tcatch (NumberFormatException ex)\n\t\t{\n\t\t\tthrow new PropertiesPlusException(String.format(\n\t\t\t\t\t\"%s = %s cannot be converted to type double[]\", property, value));\n\t\t}\n\t}","double readDouble()\n throws IOException {\n return Double.longBitsToDouble( readLong() );\n }","public abstract Double getDataValue();","public Double filter(Double value) throws NullValueException, EmptyListException, IncorrectSizeException;","public double readDouble() throws IOException {\n int token = fTokenizer.nextToken();\n if (token == StreamTokenizer.TT_NUMBER)\n return fTokenizer.nval;\n\n String msg = \"Double expected in line: \" + fTokenizer.lineno();\n throw new IOException(msg);\n }","public static double readFloat() {\n return Float.parseFloat(readString());\n }","private double readDouble() throws IOException {\n\t\treturn (isBigEndian ? ioReadDouble() : Double.longBitsToDouble(readLELong()));\n\t}","private static List<Double> parse_line_double(String line, int d) throws Exception {\n\t List<Double> ans = new ArrayList<Double>();\n\t StringTokenizer st = new StringTokenizer(line, \" \");\n\t if (st.countTokens() != d) {\n\t throw new Exception(\"Bad line: [\" + line + \"]\");\n\t }\n\t while (st.hasMoreElements()) {\n\t String s = st.nextToken();\n\t try {\n\t ans.add(Double.parseDouble(s));\n\t } catch (Exception ex) {\n\t throw new Exception(\"Bad Integer in \" + \"[\" + line + \"]. \" + ex.getMessage());\n\t }\n\t }\n\t return ans;\n\t }","public float[] getAsFloats() {\n return (float[])data;\n }","public double readDouble() throws NumberFormatException {\r\n\t\treturn Double.parseDouble(scanner.nextLine());\r\n\t}","public double[] ds() {\n double rval[] = new double[size()];\n for (int i = 0; i < rval.length; i++) {\n rval[i] = get(i) == null ? Double.NaN : get(i).doubleValue();\n }\n\n return rval;\n }","protected abstract void setValues(double[] values);","public List<Double> getDoubleList(final String key) {\n return getDoubleList(key, new ArrayList<>());\n }","public double[] getDoubles()\r\n {\r\n return resultDoubles;\r\n }","public static java.util.Iterator<org.semanticwb.process.schema.Float> listFloats(org.semanticwb.model.SWBModel model)\r\n {\r\n java.util.Iterator it=model.getSemanticObject().getModel().listInstancesOfClass(sclass);\r\n return new org.semanticwb.model.GenericIterator<org.semanticwb.process.schema.Float>(it, true);\r\n }","double[][] asDouble();","private double[] toDoubleArray(float[] arr) {\n\t\tif (arr == null)\n\t\t\treturn null;\n\t\tint n = arr.length;\n\t\tdouble[] outputFloat = new double[n];\n\n\t\tfor (int i = 0; i < n; i++) {\n\t\t\toutputFloat[i] = (double) arr[i];\n\n\t\t}\n\t\treturn outputFloat;\n\t}","Series<double[]> makeSeries(int dimension);","@Test\n public void testReadProperty() {\n DoubleArrayPropertyPersistenceHandler handler = new DoubleArrayPropertyPersistenceHandler();\n\n Element propertyTag = new Element(\"anyTag\"); //$NON-NLS-1$\n Element arrayTag = new Element(\n DoubleArrayPropertyPersistenceHandler.XML_ELEMENT_DOUBLE_ARRAY);\n propertyTag.addContent(arrayTag);\n\n arrayTag.addContent(new Element(\n DoubleArrayPropertyPersistenceHandler.XML_ELEMENT_DOUBLE)\n .setAttribute(XmlConstants.XML_ATTRIBUTE_VALUE, \"1.0\")); //$NON-NLS-1$\n arrayTag.addContent(new Element(\n DoubleArrayPropertyPersistenceHandler.XML_ELEMENT_DOUBLE)\n .setAttribute(XmlConstants.XML_ATTRIBUTE_VALUE, \"2.0\")); //$NON-NLS-1$\n arrayTag.addContent(new Element(\n DoubleArrayPropertyPersistenceHandler.XML_ELEMENT_DOUBLE)\n .setAttribute(XmlConstants.XML_ATTRIBUTE_VALUE, \"3.0\")); //$NON-NLS-1$\n arrayTag.addContent(new Element(\n DoubleArrayPropertyPersistenceHandler.XML_ELEMENT_DOUBLE)\n .setAttribute(XmlConstants.XML_ATTRIBUTE_VALUE, \"4.0\")); //$NON-NLS-1$\n\n Object propertyValue = handler.readProperty(propertyTag);\n\n assertTrue(propertyValue instanceof double[]);\n\n double[] doubleArray = (double[]) propertyValue;\n\n assertEquals(4, doubleArray.length);\n assertEquals(1.0, doubleArray[0], 0.001);\n assertEquals(2.0, doubleArray[1], 0.001);\n assertEquals(3.0, doubleArray[2], 0.001);\n assertEquals(4.0, doubleArray[3], 0.001);\n }","Double getValue();","private void _testLeadingPeriodFloat(String valueStr, double value, int bytesPerRead)\n throws Exception\n {\n\n JsonFactory f = new JsonFactory();\n String JSON = valueStr;\n AsyncReaderWrapper p = createParser(f, JSON, bytesPerRead);\n try {\n p.nextToken();\n p.currentText();\n fail(\"Should have thrown an exception for doc <\"+JSON+\">\");\n } catch (JsonParseException e) {\n verifyException(e, \"Unexpected character ('.'\");\n verifyException(e, \"expected a valid value\");\n } finally {\n p.close();\n }\n\n // and then verify it's ok when enabled\n f = JsonFactory.builder()\n .enable(JsonReadFeature.ALLOW_LEADING_DECIMAL_POINT_FOR_NUMBERS)\n .build();\n p = createParser(f, JSON, bytesPerRead);\n assertToken(JsonToken.VALUE_NUMBER_FLOAT, p.nextToken());\n assertEquals(value, p.getDoubleValue());\n assertEquals(valueStr.trim(), p.currentText());\n p.close();\n }","protected double[] getValues(String varName) {\n if (_dataMap == null) readAllData();\n double[] values = _dataMap.get(varName);\n return values;\n }","public static PointD[] fillData() {\n ArrayList<PointD> vals = new ArrayList();\n while (scn.hasNextLine()) {\n String[] xandy = scn.nextLine().split(\"\\\\s*,\\\\s*\");\n vals.add(new PointD(Double.parseDouble(xandy[0]), Double.parseDouble(xandy[1])));\n }\n PointD[] vals2 = new PointD[vals.size()];\n for (int x = 0; x < vals.size(); x++) {\n vals2[x] = vals.get(x);\n }\n return vals2;\n }","public float readFloat() {\n return Float.parseFloat(readNextLine());\n }","public double[] readVector(String line, int index) {\n\n String[] list = line.split(\" \");\n int numColumns = Integer.parseInt(list[index]);\n double[] res = new double[numColumns];\n\n int num = index + 1;\n for (int j = 0; j < numColumns; j++) {\n res[j] = Double.parseDouble(list[num]);\n num++;\n }\n return res;\n }","Double getDoubleValue();","public double get(Double[] ipos);","@Override protected void readDoublesIntoBuf(MathGate mathGate, double[] buffer) {\r\n\t\tif (myMathExpr != null) {\r\n\t\t\tmathGate.parseAndEvalExprToDoubleVec(myMathExpr, buffer);\r\n\t\t} else {\r\n\t\t\ttheLogger.debug(\"No expression found.\");\r\n\t\t}\r\n\t}","public double[] getValues(String nodeType, int index)\r\n {\r\n\treturn getValues(nodeType, new NodeFilter()\r\n\t { public final boolean accept(Node n) { return true; }},\r\n\t\t\t index);\r\n }","public long get(double val[])\n {\n\t\tSensorData d = data.get();\n\t\tdouble[] v = d.getValues();\n\t\tif (v == null) return 0;\n\t\tfor (int i=0; i<v.length; ++i)\n\t\t\tval[i] = v[i];\n\t\treturn d.getTimestamp();\n }","private native float Df1_Read_Float(String plcAddress) throws Df1LibraryNativeException;","public double[] LerValoresEsperados() throws FileNotFoundException {\n File treinamento = new File(\"resultado.csv\");\n\n String linha = new String();\n\n Scanner leitor = new Scanner(treinamento);\n\n while (leitor.hasNext()) {\n linha = leitor.nextLine();\n String[] valoresEntreVirgulas = linha.split(\";\");\n double[] valoresDouble = Arrays.stream(valoresEntreVirgulas).mapToDouble(Double::parseDouble).toArray();\n return valoresDouble;\n //System.out.println(valoresEntreVirgulas[0] + valoresEntreVirgulas[1] + valoresEntreVirgulas[2]);\n }\n\n return null;\n }","private List<Double> getdata(FileReader fr, String sar_device,int i) throws IOException {\n\t\t System.out.println(\"sar_device in GetSarFileData:\"+sar_device);\n\t\t BufferedReader br = new BufferedReader(fr);\n\t\t List<Double> resultList = new ArrayList<Double>();\n\t String temp=null;\n\t String[] numbersArray;\n\t temp=br.readLine();\n\t while(temp!=null){ \n\t \tnumbersArray=temp.split(\"\\\\s+\"); \n\t \tif(numbersArray.length>2&&(!numbersArray[0].equals(\"Average:\"))&&numbersArray[2].equals(sar_device))\n\t \t{\n\t \t\tresultList.add(Double.parseDouble(numbersArray[i])); \n\t \t}\n\t \telse if(numbersArray.length>2&&(!numbersArray[0].equals(\"Average:\"))&&numbersArray[1].equals(sar_device)){\n\t \t\tresultList.add(Double.parseDouble(numbersArray[i-1])); \n\t \t}\n\t temp=br.readLine();\n\t }\n\t System.out.println(resultList);\n\t return resultList;\n\t}","double[] getReferenceValues();","void writeFloats(float[] f, int off, int len) throws IOException;","public double readDouble() throws IOException {\n\n\t\tif (read(bb, 0, 8) < 8) {\n\t\t\tthrow new EOFException();\n\t\t}\n\n\t\tint i1 = bb[0] << 24 | (bb[1] & 0xFF) << 16 | (bb[2] & 0xFF) << 8\n\t\t\t\t| (bb[3] & 0xFF);\n\t\tint i2 = bb[4] << 24 | (bb[5] & 0xFF) << 16 | (bb[6] & 0xFF) << 8\n\t\t\t\t| (bb[7] & 0xFF);\n\n\t\treturn Double.longBitsToDouble(((long) i1) << 32\n\t\t\t\t| ((long) i2 & 0x00000000ffffffffL));\n\t}","public abstract double[] getasDouble(int tuple);","double getFloatingPointField();","public float[] getSensorValues() {\n return mVal;\n }","String doubleRead();","float readFloat(int start)\n {\n int bits = readInt(start);\n\n return Float.intBitsToFloat(bits);\n }","public double readDouble() throws IOException {\n return in.readDouble();\n }","public double[] getDoubleArray(final String key) {\n return getDoubleArray(key, ArrayUtils.EMPTY_DOUBLE_ARRAY);\n }","double getDouble(String key) throws KeyValueStoreException;","public static synchronized List<Pair<String, double[]>> getDataFromFile(String fileName) throws Exception\r\n\t{\t\r\n\t\tValidationHelper.validateIfParameterIsNullOrEmpty(fileName, \"fileName\");\r\n\t\t\r\n\t\tif (_dataCache.containsKey(fileName)) \r\n\t\t\treturn _dataCache.get(fileName);\r\n\t\t\r\n\t\tFile file = new File(fileName);\r\n\t\t\r\n\t\tValidationHelper.validateIfFileParameterExists(file, fileName);\r\n\t\t\r\n\t\tArrayList<Pair<String, double[]>> inputData = new ArrayList<Pair<String, double[]>>();\r\n\t\t\r\n\t\tBufferedReader reader = new BufferedReader(new FileReader(file));\r\n\t\t\r\n\t\tString temp = null;\r\n\t\t\r\n\t\twhile ((temp = reader.readLine()) != null)\r\n\t\t{\r\n\t\t\ttemp = temp.replaceAll(\" \", \"\");\r\n\t\t\t\r\n\t\t\tString[] tokens = temp.split(\",\");\r\n\t\t\t\r\n\t\t\tif (tokens != null && tokens.length > 0)\r\n\t\t\t{\r\n\t\t\t\tdouble[] input = new double[tokens.length - 1];\r\n\t\t\t\tfor (int i = 0; i < tokens.length; i++)\r\n\t\t\t\t{\r\n\t\t\t\t\tString token = tokens[i];\r\n\r\n\t\t\t\t\tif (i == tokens.length-1)\r\n\t\t\t\t\t{\r\n\t\t\t\t\t\tinputData.add(new Pair<String, double[]>(token, input));\r\n\t\t\t\t\t}\r\n\t\t\t\t\telse\r\n\t\t\t\t\t{\r\n\t\t\t\t\t\tif (token.matches(\"-{0,1}[0-9]{1,}(.[0-9]{1,}){0,1}\"))\r\n\t\t\t\t\t\t{\r\n\t\t\t\t\t\t\tdouble data = Double.parseDouble(token);\r\n\t\t\t\t\t\t\tinput[i] = data;\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}\r\n\t\t}\r\n\t\t\r\n\t\tif (!_dataCache.containsKey(fileName))\r\n\t\t\t_dataCache.put(fileName, inputData);\r\n\t\t\r\n\t\treturn inputData;\r\n\t}","public List<Double> getData( ) {\r\n return data;\r\n }","protected double[] readFeature(String s, int dim) {\n\t\tdouble[] feature = new double[dim];\n\t\tStringTokenizer st = new StringTokenizer(s);\n\t\tif(st.countTokens() != dim) {\n\t\t\tSystem.out.println(\"Error in readFeature - number of tokens incorrect \" + st.countTokens() + \" vs \" + dim);\n\t\t\tSystem.exit(0);\n\t\t}\n\t\t// Convert the string in array of double\n\t\tfor(int i=0; i<dim; i++) {\n\t\t\tfeature[i] = Double.parseDouble(st.nextToken());\n\t\t}\n\t\treturn feature;\n\t}","public double[] getDoubleArray(String property)\n\tthrows PropertiesPlusException\n\t{\n\t\tString value = getProperty(property);\n\t\tif (value == null)\n\t\t\treturn null;\n\t\ttry\n\t\t{\n\t\t\tScanner in = new Scanner(value.trim().replaceAll(\",\", \" \"));\n\t\t\tArrayListDouble dbl = new ArrayListDouble();\n\t\t\twhile (in.hasNext())\n\t\t\t\tdbl.add(in.nextDouble());\n\t\t\tin.close();\n\n\t\t\treturn dbl.toArray();\n\t\t}\n\t\tcatch (NumberFormatException ex)\n\t\t{\n\t\t\tthrow new PropertiesPlusException(String.format(\n\t\t\t\t\t\"%s = %s cannot be converted to type double[]\", property, value));\n\t\t}\n\t}","java.util.List<java.lang.Float> getInList();","public static double[] parseDouble(String val[]) {\n\t\t\n\t\tif (val != null) {\n\t\t\tdouble ret[] = new double[val.length];\n\t\n\t\t\tfor (int i = 0; i < val.length; i++) {\n\t\t\t\tret[i] = parseDouble(val[i]);\n\t\t\t}\n\t\n\t\t\treturn ret;\n\t\t}else{\n\t\t\treturn null;\n\t\t}\n\t}","public double getDouble(String name) {\n\t\tfinal Object val = values.get(name);\n\t\tif (val == null) {\n\t\t\tthrow new IllegalArgumentException(\"Float value required, but not specified\");\n\t\t}\n\t\tif (val instanceof Number) {\n\t\t\treturn ((Number) val).doubleValue();\n\t\t}\n\t\ttry {\n\t\t\treturn Double.parseDouble((String) val);\n\t\t} catch (Exception e) {\n\t\t\tthrow new IllegalArgumentException(\"Float value required, but found: \" + val);\n\t\t}\n\t}","public static final Double getDouble(ClassFile cf, short cpiIndex) {\n DoubleInfo di = (DoubleInfo) cf.getCpInfo(cpiIndex);\n return Double.longBitsToDouble(((long) di.highBytes << 32) | (0xffffffffL & di.lowBytes));\n }","public static Stats of(double... values) {\n/* 122 */ StatsAccumulator acummulator = new StatsAccumulator();\n/* 123 */ acummulator.addAll(values);\n/* 124 */ return acummulator.snapshot();\n/* */ }","public double value(){\n\t return (double) this.f;\n }","public ArrayList<Double> readFile(String m){\n ArrayList<Double> a = new ArrayList<Double>();\n Scanner r = null;\n try {\n File f = new File(m);\n r = new Scanner(f);\n String scan;\n while(r.hasNextLine()) {\n scan = r.nextLine();\n //System.out.println(scan);\n // look for comma because our price starts after comma\n int commaPosition = scan.indexOf(',');\n //go to next index of the string in one line\n int nextIndex = commaPosition + 1;\n // make a string named price to keep the price from one line\n //substring method takes two parameters- start point and end point(which is integers)\n //price = smaller string = \"2.50\", scan = bigger string = \"bananas,2.50\"\n String price = scan.substring(nextIndex,scan.length());\n double doublePrice = Double.parseDouble(price);\n //System.out.println(doublePrice);\n a.add(doublePrice);\n }\n } catch (FileNotFoundException ex) {\n\n } catch (IOException ex) {\n\n } finally {\n if(r!=null) r.close();\n }\n return a;\n\n }","@Override\n\tpublic double[] toDoubleArray() {\n\t\treturn null;\n\t}","public abstract float[] toFloatArray();","public float readFloat()\r\n/* 447: */ {\r\n/* 448:460 */ recordLeakNonRefCountingOperation(this.leak);\r\n/* 449:461 */ return super.readFloat();\r\n/* 450: */ }","public abstract void writeAsDbl(int offset, double d);","public double readDouble()\r\n/* 453: */ {\r\n/* 454:466 */ recordLeakNonRefCountingOperation(this.leak);\r\n/* 455:467 */ return super.readDouble();\r\n/* 456: */ }","private JsonArray datapoint(final Double value, final long ts) {\n\n if (value.isNaN()) {\n return arr();\n }\n return arr(value, ts);\n }","public void load( String fileName ) {\n System.out.println( \"Loading: \" + fileName );\n this.name = fileName;\n Object obj = null;\n try {\n FileInputStream fis = new FileInputStream(fileName);\n ObjectInputStream oos = new ObjectInputStream( fis );\n obj = oos.readObject();\n dofs = (double[][]) obj;\n oos.close();\n fis.close();\n } catch ( Exception e ) {\n e.printStackTrace();\n } \n }","public ArrayList<Double> getValues() {\n\n ArrayList<Double> values = new ArrayList<Double>(); //create new arraylist to return\n FreqNode tmpNode; //create temp node \n\n //traverse entire table \n for (FreqNode node : frequencyTable) {\n //set node \n tmpNode = node;\n while (true) {\n if (tmpNode == null) {\n break;\n } else {\n //add value to node in table and cast to double \n values.add((node.getValue() * 1.0));\n //set it to the next node \n tmpNode = tmpNode.getNext();\n } //end else \n }//end if \n }\n // Return the keys\n return values;\n }","@Override\n\tpublic List<Double> computeValues() {\n\t\treturn null;\n\t}","private static void insertTimeSeriesOneDim(final ScriptEngine engine,\r\n final DataArray data) throws Exception {\r\n List<DataEntry> time = data.getDate();\r\n int freq = TimeUtils.getFrequency(time);\r\n List<Double> doubleList = data.getDouble();\r\n double[] doubleArray = new double[doubleList.size()];\r\n for (int i = 0; i < doubleList.size(); i++) {\r\n doubleArray[i] = doubleList.get(i);\r\n }\r\n engine.put(\"my_double_vector\", doubleArray);\r\n engine.eval(\"ts_0 <- ts(my_double_vector, frequency = \"\r\n + freq + \")\");\r\n }","Double getStartFloat();","public List<Double> getData() {\n return data;\n }"],"string":"[\n \"public static double[] readDoubles() {\\n return readAllDoubles();\\n }\",\n \"public abstract void read_double_array(double[] value, int offset, int\\nlength);\",\n \"public abstract double readAsDbl(int offset);\",\n \"double readDouble();\",\n \"double readDouble() throws IOException;\",\n \"private Data[] getFloats(double value, int npoints, int nattributes)\\n\\t{\\n\\t\\tData[] data = new Data[npoints];\\n\\t\\tfor (int i = 0; i < npoints; i++)\\n\\t\\t\\tdata[i] = nattributes == 1 ? new DataFloat((float) value)\\n\\t\\t: new DataArrayOfFloats(new float[] { (float) value,\\n\\t\\t\\t\\t(float) value });\\n\\t\\t\\treturn data;\\n\\t}\",\n \"public abstract double read_double();\",\n \"@Override\\n\\tpublic List<double[]> read(String fileName) {\\n\\t\\tlogger.info(\\\"Loading data from \\\" + fileName);\\n\\t\\tList<double[]> records = new ArrayList<double[]>();\\n\\t\\tCsvReader csvReader = null;\\n\\t\\ttry{\\n\\t\\t\\tcsvReader = new CsvReader(fileName);\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\twhile(csvReader.readRecord()){\\n\\t\\t\\t\\tint cols = csvReader.getColumnCount();\\n\\t\\t\\t\\tdouble[] record = new double[cols];\\n\\t\\t\\t\\tfor(int i=0; i< cols; i++){\\n\\t\\t\\t\\t\\trecord[i] = Double.parseDouble(csvReader.get(i));\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\trecords.add(record);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t}catch(Exception e){\\n\\t\\t\\te.printStackTrace();\\n\\t\\t\\tthrow new LoadDataException(e);\\n\\t\\t}finally{\\n\\t\\t\\tif(csvReader != null){\\n\\t\\t\\t\\tcsvReader.close();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn records;\\n\\t}\",\n \"@Override\\r\\n\\tpublic void setDataSeries(List<Double> factValues) {\\n\\r\\n\\t}\",\n \"public abstract void read_float_array(float[] value, int offset, int\\nlength);\",\n \"float readFloat();\",\n \"public Iterable<Double> getDoubles(String key);\",\n \"public abstract double[] toDoubleArray();\",\n \"public Iterable<Float> getFloats(String key);\",\n \"java.util.List<java.lang.Double> getFileList();\",\n \"public double parseDouble()\\r\\n {\\r\\n String str = feed.findWithinHorizon( REAL_PATTERN, 0 );\\r\\n \\r\\n if( str == null )\\r\\n throw new NumberFormatException( \\\"[Line \\\" + lineNum + \\\"] Input did not match a real number\\\" );\\r\\n else if( str.length() == 0 )\\r\\n throw new NumberFormatException( \\\"[Line \\\" + lineNum + \\\"] Input did not match a real number\\\" );\\r\\n \\r\\n return Double.parseDouble( str );\\r\\n }\",\n \"String floatRead();\",\n \"public double[] getDoubleList();\",\n \"static public DoubleList readVector(BufferedReader reader) throws IOException {\\r\\n int dim = Integer.parseInt(reader.readLine());\\r\\n DoubleList vector = new DoubleArrayList(dim);\\r\\n for (int i = 0; i < dim; i++) {\\r\\n double v = Double.parseDouble(reader.readLine());\\r\\n vector.add(v);\\r\\n }\\r\\n return vector;\\r\\n }\",\n \"void writeDoubles(double[] d, int off, int len) throws IOException;\",\n \"private Data[] getDoubles(double value, int npoints, int nattributes)\\n\\t{\\n\\t\\tData[] data = new Data[npoints];\\n\\t\\tfor (int i = 0; i < npoints; i++)\\n\\t\\t\\tdata[i] = nattributes == 1 ? new DataDouble(value)\\n\\t\\t: new DataArrayOfDoubles(new double[] { value, value });\\n\\t\\t\\treturn data;\\n\\t}\",\n \"public static java.util.Iterator<org.semanticwb.process.schema.Float> listFloats()\\r\\n {\\r\\n java.util.Iterator it=sclass.listInstances();\\r\\n return new org.semanticwb.model.GenericIterator<org.semanticwb.process.schema.Float>(it, true);\\r\\n }\",\n \"public static double[] readDoubleVector(DataInputStream input) throws IOException {\\n int length = input.readInt();\\n\\n double[] ret = new double[length];\\n\\n for (int i = 0; i < length; i++) {\\n double value = input.readDouble();\\n ret[i] = value;\\n }\\n\\n return ret;\\n }\",\n \"public double[] getAsDoubles() {\\n return (double[])data;\\n }\",\n \"public void nextDoubles(double[] d) {\\n real.nextDoubles(d);\\n }\",\n \"public Object[] getScriptOfValuesAsDouble() {\\r\\n\\t\\tArrayList valueDouble;\\r\\n\\t\\tvalueDouble = new ArrayList<Double>();\\r\\n\\r\\n\\t\\tfor (DataVariable var : dataTestModel) {\\r\\n\\t\\t\\tif (var.getType().equals(\\\"double\\\") || var.getType().equals(\\\"int\\\")) {\\r\\n\\r\\n\\t\\t\\t\\tif (var.getValue() != null && !var.getValue().equals(\\\"\\\") && !var.getValue().equals(\\\"NaN\\\")) {\\r\\n\\r\\n\\t\\t\\t\\t\\tvalueDouble.add(var.getValue());\\r\\n\\r\\n\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\tvalueDouble.add(0);\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t}\\r\\n\\t\\tObject[] values = new Object[valueDouble.size()];\\r\\n\\t\\tint i = 0;\\r\\n\\t\\tfor (Object d : valueDouble) {\\r\\n\\t\\t\\tif (d == null) {\\r\\n\\t\\t\\t\\td = 0.0;\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\tvalues[i] = d;\\r\\n\\r\\n\\t\\t\\ti++;\\r\\n\\t\\t}\\r\\n\\t\\treturn values;\\r\\n\\r\\n\\t}\",\n \"public abstract float read_float();\",\n \"private static float[] readFloatArray( URL loc ) throws IOException {\\n DataInputStream in =\\n new DataInputStream( new BufferedInputStream( loc.openStream() ) );\\n FloatList flist = new FloatList();\\n try {\\n while ( true ) {\\n float value = in.readFloat();\\n if ( value >= 0f && value <= 1f ) {\\n flist.add( value );\\n }\\n else {\\n throw new IOException( \\\"RGB values out of range\\\" );\\n }\\n }\\n }\\n catch ( EOFException e ) {\\n return flist.toFloatArray();\\n }\\n finally {\\n in.close();\\n }\\n }\",\n \"@Override\\n public LinkedList<Double> call() {\\n for (int string = 0; string < line.length; string++) {\\n String numberString = super.cleanTextContent(line[string]);\\n try {\\n double number = Double.parseDouble(numberString);\\n values.add(number);\\n } catch (NumberFormatException numberFormatException) {\\n numberFormatException.printStackTrace();\\n }\\n }\\n Collections.sort(values);\\n while (values.size() > valuesToKeep) {\\n values.removeLast();\\n }\\n return values;\\n }\",\n \"public double doubleValue(final int i) {\\n if (!isInteger(i)) {\\n return Float.intBitsToFloat((int) values[i]);\\n }\\n throw new ClassCastException(\\\"value #\\\" + i + \\\" is not a float in \\\" + this);\\n }\",\n \"public ArrayDouble getRecordValues(State state) {\\n return new ArrayDouble(opensimSimulationJNI.ExpressionBasedPointToPointForce_getRecordValues(swigCPtr, this, State.getCPtr(state), state), true);\\n }\",\n \"public double[] getDoubleArray(String name)\\r\\n throws NumberFormatException\\r\\n {\\r\\n String[] data = getString(name).split(\\\",\\\");\\r\\n double[] value = new double[data.length];\\r\\n for( int i=0; i<data.length; i++ )\\r\\n value[i] = Double.parseDouble(data[i].trim());\\r\\n \\r\\n return value;\\r\\n }\",\n \"public us.ihmc.idl.IDLSequence.Float getValues()\\n {\\n return values_;\\n }\",\n \"public float[] getFloatArray(String property)\\n\\tthrows PropertiesPlusException\\n\\t{\\n\\t\\tString value = getProperty(property);\\n\\t\\tif (value == null)\\n\\t\\t\\treturn null;\\n\\t\\ttry\\n\\t\\t{\\n\\t\\t\\tScanner in = new Scanner(value.trim().replaceAll(\\\",\\\", \\\" \\\"));\\n\\t\\t\\tArrayListFloat flt = new ArrayListFloat();\\n\\t\\t\\twhile (in.hasNext())\\n\\t\\t\\t\\tflt.add(in.nextFloat());\\n\\t\\t\\tin.close();\\n\\n\\t\\t\\treturn flt.toArray();\\n\\t\\t}\\n\\t\\tcatch (NumberFormatException ex)\\n\\t\\t{\\n\\t\\t\\tthrow new PropertiesPlusException(String.format(\\n\\t\\t\\t\\t\\t\\\"%s = %s cannot be converted to type double[]\\\", property, value));\\n\\t\\t}\\n\\t}\",\n \"double readDouble()\\n throws IOException {\\n return Double.longBitsToDouble( readLong() );\\n }\",\n \"public abstract Double getDataValue();\",\n \"public Double filter(Double value) throws NullValueException, EmptyListException, IncorrectSizeException;\",\n \"public double readDouble() throws IOException {\\n int token = fTokenizer.nextToken();\\n if (token == StreamTokenizer.TT_NUMBER)\\n return fTokenizer.nval;\\n\\n String msg = \\\"Double expected in line: \\\" + fTokenizer.lineno();\\n throw new IOException(msg);\\n }\",\n \"public static double readFloat() {\\n return Float.parseFloat(readString());\\n }\",\n \"private double readDouble() throws IOException {\\n\\t\\treturn (isBigEndian ? ioReadDouble() : Double.longBitsToDouble(readLELong()));\\n\\t}\",\n \"private static List<Double> parse_line_double(String line, int d) throws Exception {\\n\\t List<Double> ans = new ArrayList<Double>();\\n\\t StringTokenizer st = new StringTokenizer(line, \\\" \\\");\\n\\t if (st.countTokens() != d) {\\n\\t throw new Exception(\\\"Bad line: [\\\" + line + \\\"]\\\");\\n\\t }\\n\\t while (st.hasMoreElements()) {\\n\\t String s = st.nextToken();\\n\\t try {\\n\\t ans.add(Double.parseDouble(s));\\n\\t } catch (Exception ex) {\\n\\t throw new Exception(\\\"Bad Integer in \\\" + \\\"[\\\" + line + \\\"]. \\\" + ex.getMessage());\\n\\t }\\n\\t }\\n\\t return ans;\\n\\t }\",\n \"public float[] getAsFloats() {\\n return (float[])data;\\n }\",\n \"public double readDouble() throws NumberFormatException {\\r\\n\\t\\treturn Double.parseDouble(scanner.nextLine());\\r\\n\\t}\",\n \"public double[] ds() {\\n double rval[] = new double[size()];\\n for (int i = 0; i < rval.length; i++) {\\n rval[i] = get(i) == null ? Double.NaN : get(i).doubleValue();\\n }\\n\\n return rval;\\n }\",\n \"protected abstract void setValues(double[] values);\",\n \"public List<Double> getDoubleList(final String key) {\\n return getDoubleList(key, new ArrayList<>());\\n }\",\n \"public double[] getDoubles()\\r\\n {\\r\\n return resultDoubles;\\r\\n }\",\n \"public static java.util.Iterator<org.semanticwb.process.schema.Float> listFloats(org.semanticwb.model.SWBModel model)\\r\\n {\\r\\n java.util.Iterator it=model.getSemanticObject().getModel().listInstancesOfClass(sclass);\\r\\n return new org.semanticwb.model.GenericIterator<org.semanticwb.process.schema.Float>(it, true);\\r\\n }\",\n \"double[][] asDouble();\",\n \"private double[] toDoubleArray(float[] arr) {\\n\\t\\tif (arr == null)\\n\\t\\t\\treturn null;\\n\\t\\tint n = arr.length;\\n\\t\\tdouble[] outputFloat = new double[n];\\n\\n\\t\\tfor (int i = 0; i < n; i++) {\\n\\t\\t\\toutputFloat[i] = (double) arr[i];\\n\\n\\t\\t}\\n\\t\\treturn outputFloat;\\n\\t}\",\n \"Series<double[]> makeSeries(int dimension);\",\n \"@Test\\n public void testReadProperty() {\\n DoubleArrayPropertyPersistenceHandler handler = new DoubleArrayPropertyPersistenceHandler();\\n\\n Element propertyTag = new Element(\\\"anyTag\\\"); //$NON-NLS-1$\\n Element arrayTag = new Element(\\n DoubleArrayPropertyPersistenceHandler.XML_ELEMENT_DOUBLE_ARRAY);\\n propertyTag.addContent(arrayTag);\\n\\n arrayTag.addContent(new Element(\\n DoubleArrayPropertyPersistenceHandler.XML_ELEMENT_DOUBLE)\\n .setAttribute(XmlConstants.XML_ATTRIBUTE_VALUE, \\\"1.0\\\")); //$NON-NLS-1$\\n arrayTag.addContent(new Element(\\n DoubleArrayPropertyPersistenceHandler.XML_ELEMENT_DOUBLE)\\n .setAttribute(XmlConstants.XML_ATTRIBUTE_VALUE, \\\"2.0\\\")); //$NON-NLS-1$\\n arrayTag.addContent(new Element(\\n DoubleArrayPropertyPersistenceHandler.XML_ELEMENT_DOUBLE)\\n .setAttribute(XmlConstants.XML_ATTRIBUTE_VALUE, \\\"3.0\\\")); //$NON-NLS-1$\\n arrayTag.addContent(new Element(\\n DoubleArrayPropertyPersistenceHandler.XML_ELEMENT_DOUBLE)\\n .setAttribute(XmlConstants.XML_ATTRIBUTE_VALUE, \\\"4.0\\\")); //$NON-NLS-1$\\n\\n Object propertyValue = handler.readProperty(propertyTag);\\n\\n assertTrue(propertyValue instanceof double[]);\\n\\n double[] doubleArray = (double[]) propertyValue;\\n\\n assertEquals(4, doubleArray.length);\\n assertEquals(1.0, doubleArray[0], 0.001);\\n assertEquals(2.0, doubleArray[1], 0.001);\\n assertEquals(3.0, doubleArray[2], 0.001);\\n assertEquals(4.0, doubleArray[3], 0.001);\\n }\",\n \"Double getValue();\",\n \"private void _testLeadingPeriodFloat(String valueStr, double value, int bytesPerRead)\\n throws Exception\\n {\\n\\n JsonFactory f = new JsonFactory();\\n String JSON = valueStr;\\n AsyncReaderWrapper p = createParser(f, JSON, bytesPerRead);\\n try {\\n p.nextToken();\\n p.currentText();\\n fail(\\\"Should have thrown an exception for doc <\\\"+JSON+\\\">\\\");\\n } catch (JsonParseException e) {\\n verifyException(e, \\\"Unexpected character ('.'\\\");\\n verifyException(e, \\\"expected a valid value\\\");\\n } finally {\\n p.close();\\n }\\n\\n // and then verify it's ok when enabled\\n f = JsonFactory.builder()\\n .enable(JsonReadFeature.ALLOW_LEADING_DECIMAL_POINT_FOR_NUMBERS)\\n .build();\\n p = createParser(f, JSON, bytesPerRead);\\n assertToken(JsonToken.VALUE_NUMBER_FLOAT, p.nextToken());\\n assertEquals(value, p.getDoubleValue());\\n assertEquals(valueStr.trim(), p.currentText());\\n p.close();\\n }\",\n \"protected double[] getValues(String varName) {\\n if (_dataMap == null) readAllData();\\n double[] values = _dataMap.get(varName);\\n return values;\\n }\",\n \"public static PointD[] fillData() {\\n ArrayList<PointD> vals = new ArrayList();\\n while (scn.hasNextLine()) {\\n String[] xandy = scn.nextLine().split(\\\"\\\\\\\\s*,\\\\\\\\s*\\\");\\n vals.add(new PointD(Double.parseDouble(xandy[0]), Double.parseDouble(xandy[1])));\\n }\\n PointD[] vals2 = new PointD[vals.size()];\\n for (int x = 0; x < vals.size(); x++) {\\n vals2[x] = vals.get(x);\\n }\\n return vals2;\\n }\",\n \"public float readFloat() {\\n return Float.parseFloat(readNextLine());\\n }\",\n \"public double[] readVector(String line, int index) {\\n\\n String[] list = line.split(\\\" \\\");\\n int numColumns = Integer.parseInt(list[index]);\\n double[] res = new double[numColumns];\\n\\n int num = index + 1;\\n for (int j = 0; j < numColumns; j++) {\\n res[j] = Double.parseDouble(list[num]);\\n num++;\\n }\\n return res;\\n }\",\n \"Double getDoubleValue();\",\n \"public double get(Double[] ipos);\",\n \"@Override protected void readDoublesIntoBuf(MathGate mathGate, double[] buffer) {\\r\\n\\t\\tif (myMathExpr != null) {\\r\\n\\t\\t\\tmathGate.parseAndEvalExprToDoubleVec(myMathExpr, buffer);\\r\\n\\t\\t} else {\\r\\n\\t\\t\\ttheLogger.debug(\\\"No expression found.\\\");\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public double[] getValues(String nodeType, int index)\\r\\n {\\r\\n\\treturn getValues(nodeType, new NodeFilter()\\r\\n\\t { public final boolean accept(Node n) { return true; }},\\r\\n\\t\\t\\t index);\\r\\n }\",\n \"public long get(double val[])\\n {\\n\\t\\tSensorData d = data.get();\\n\\t\\tdouble[] v = d.getValues();\\n\\t\\tif (v == null) return 0;\\n\\t\\tfor (int i=0; i<v.length; ++i)\\n\\t\\t\\tval[i] = v[i];\\n\\t\\treturn d.getTimestamp();\\n }\",\n \"private native float Df1_Read_Float(String plcAddress) throws Df1LibraryNativeException;\",\n \"public double[] LerValoresEsperados() throws FileNotFoundException {\\n File treinamento = new File(\\\"resultado.csv\\\");\\n\\n String linha = new String();\\n\\n Scanner leitor = new Scanner(treinamento);\\n\\n while (leitor.hasNext()) {\\n linha = leitor.nextLine();\\n String[] valoresEntreVirgulas = linha.split(\\\";\\\");\\n double[] valoresDouble = Arrays.stream(valoresEntreVirgulas).mapToDouble(Double::parseDouble).toArray();\\n return valoresDouble;\\n //System.out.println(valoresEntreVirgulas[0] + valoresEntreVirgulas[1] + valoresEntreVirgulas[2]);\\n }\\n\\n return null;\\n }\",\n \"private List<Double> getdata(FileReader fr, String sar_device,int i) throws IOException {\\n\\t\\t System.out.println(\\\"sar_device in GetSarFileData:\\\"+sar_device);\\n\\t\\t BufferedReader br = new BufferedReader(fr);\\n\\t\\t List<Double> resultList = new ArrayList<Double>();\\n\\t String temp=null;\\n\\t String[] numbersArray;\\n\\t temp=br.readLine();\\n\\t while(temp!=null){ \\n\\t \\tnumbersArray=temp.split(\\\"\\\\\\\\s+\\\"); \\n\\t \\tif(numbersArray.length>2&&(!numbersArray[0].equals(\\\"Average:\\\"))&&numbersArray[2].equals(sar_device))\\n\\t \\t{\\n\\t \\t\\tresultList.add(Double.parseDouble(numbersArray[i])); \\n\\t \\t}\\n\\t \\telse if(numbersArray.length>2&&(!numbersArray[0].equals(\\\"Average:\\\"))&&numbersArray[1].equals(sar_device)){\\n\\t \\t\\tresultList.add(Double.parseDouble(numbersArray[i-1])); \\n\\t \\t}\\n\\t temp=br.readLine();\\n\\t }\\n\\t System.out.println(resultList);\\n\\t return resultList;\\n\\t}\",\n \"double[] getReferenceValues();\",\n \"void writeFloats(float[] f, int off, int len) throws IOException;\",\n \"public double readDouble() throws IOException {\\n\\n\\t\\tif (read(bb, 0, 8) < 8) {\\n\\t\\t\\tthrow new EOFException();\\n\\t\\t}\\n\\n\\t\\tint i1 = bb[0] << 24 | (bb[1] & 0xFF) << 16 | (bb[2] & 0xFF) << 8\\n\\t\\t\\t\\t| (bb[3] & 0xFF);\\n\\t\\tint i2 = bb[4] << 24 | (bb[5] & 0xFF) << 16 | (bb[6] & 0xFF) << 8\\n\\t\\t\\t\\t| (bb[7] & 0xFF);\\n\\n\\t\\treturn Double.longBitsToDouble(((long) i1) << 32\\n\\t\\t\\t\\t| ((long) i2 & 0x00000000ffffffffL));\\n\\t}\",\n \"public abstract double[] getasDouble(int tuple);\",\n \"double getFloatingPointField();\",\n \"public float[] getSensorValues() {\\n return mVal;\\n }\",\n \"String doubleRead();\",\n \"float readFloat(int start)\\n {\\n int bits = readInt(start);\\n\\n return Float.intBitsToFloat(bits);\\n }\",\n \"public double readDouble() throws IOException {\\n return in.readDouble();\\n }\",\n \"public double[] getDoubleArray(final String key) {\\n return getDoubleArray(key, ArrayUtils.EMPTY_DOUBLE_ARRAY);\\n }\",\n \"double getDouble(String key) throws KeyValueStoreException;\",\n \"public static synchronized List<Pair<String, double[]>> getDataFromFile(String fileName) throws Exception\\r\\n\\t{\\t\\r\\n\\t\\tValidationHelper.validateIfParameterIsNullOrEmpty(fileName, \\\"fileName\\\");\\r\\n\\t\\t\\r\\n\\t\\tif (_dataCache.containsKey(fileName)) \\r\\n\\t\\t\\treturn _dataCache.get(fileName);\\r\\n\\t\\t\\r\\n\\t\\tFile file = new File(fileName);\\r\\n\\t\\t\\r\\n\\t\\tValidationHelper.validateIfFileParameterExists(file, fileName);\\r\\n\\t\\t\\r\\n\\t\\tArrayList<Pair<String, double[]>> inputData = new ArrayList<Pair<String, double[]>>();\\r\\n\\t\\t\\r\\n\\t\\tBufferedReader reader = new BufferedReader(new FileReader(file));\\r\\n\\t\\t\\r\\n\\t\\tString temp = null;\\r\\n\\t\\t\\r\\n\\t\\twhile ((temp = reader.readLine()) != null)\\r\\n\\t\\t{\\r\\n\\t\\t\\ttemp = temp.replaceAll(\\\" \\\", \\\"\\\");\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tString[] tokens = temp.split(\\\",\\\");\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tif (tokens != null && tokens.length > 0)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tdouble[] input = new double[tokens.length - 1];\\r\\n\\t\\t\\t\\tfor (int i = 0; i < tokens.length; i++)\\r\\n\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\tString token = tokens[i];\\r\\n\\r\\n\\t\\t\\t\\t\\tif (i == tokens.length-1)\\r\\n\\t\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\t\\tinputData.add(new Pair<String, double[]>(token, input));\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\telse\\r\\n\\t\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\t\\tif (token.matches(\\\"-{0,1}[0-9]{1,}(.[0-9]{1,}){0,1}\\\"))\\r\\n\\t\\t\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\t\\t\\tdouble data = Double.parseDouble(token);\\r\\n\\t\\t\\t\\t\\t\\t\\tinput[i] = data;\\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}\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tif (!_dataCache.containsKey(fileName))\\r\\n\\t\\t\\t_dataCache.put(fileName, inputData);\\r\\n\\t\\t\\r\\n\\t\\treturn inputData;\\r\\n\\t}\",\n \"public List<Double> getData( ) {\\r\\n return data;\\r\\n }\",\n \"protected double[] readFeature(String s, int dim) {\\n\\t\\tdouble[] feature = new double[dim];\\n\\t\\tStringTokenizer st = new StringTokenizer(s);\\n\\t\\tif(st.countTokens() != dim) {\\n\\t\\t\\tSystem.out.println(\\\"Error in readFeature - number of tokens incorrect \\\" + st.countTokens() + \\\" vs \\\" + dim);\\n\\t\\t\\tSystem.exit(0);\\n\\t\\t}\\n\\t\\t// Convert the string in array of double\\n\\t\\tfor(int i=0; i<dim; i++) {\\n\\t\\t\\tfeature[i] = Double.parseDouble(st.nextToken());\\n\\t\\t}\\n\\t\\treturn feature;\\n\\t}\",\n \"public double[] getDoubleArray(String property)\\n\\tthrows PropertiesPlusException\\n\\t{\\n\\t\\tString value = getProperty(property);\\n\\t\\tif (value == null)\\n\\t\\t\\treturn null;\\n\\t\\ttry\\n\\t\\t{\\n\\t\\t\\tScanner in = new Scanner(value.trim().replaceAll(\\\",\\\", \\\" \\\"));\\n\\t\\t\\tArrayListDouble dbl = new ArrayListDouble();\\n\\t\\t\\twhile (in.hasNext())\\n\\t\\t\\t\\tdbl.add(in.nextDouble());\\n\\t\\t\\tin.close();\\n\\n\\t\\t\\treturn dbl.toArray();\\n\\t\\t}\\n\\t\\tcatch (NumberFormatException ex)\\n\\t\\t{\\n\\t\\t\\tthrow new PropertiesPlusException(String.format(\\n\\t\\t\\t\\t\\t\\\"%s = %s cannot be converted to type double[]\\\", property, value));\\n\\t\\t}\\n\\t}\",\n \"java.util.List<java.lang.Float> getInList();\",\n \"public static double[] parseDouble(String val[]) {\\n\\t\\t\\n\\t\\tif (val != null) {\\n\\t\\t\\tdouble ret[] = new double[val.length];\\n\\t\\n\\t\\t\\tfor (int i = 0; i < val.length; i++) {\\n\\t\\t\\t\\tret[i] = parseDouble(val[i]);\\n\\t\\t\\t}\\n\\t\\n\\t\\t\\treturn ret;\\n\\t\\t}else{\\n\\t\\t\\treturn null;\\n\\t\\t}\\n\\t}\",\n \"public double getDouble(String name) {\\n\\t\\tfinal Object val = values.get(name);\\n\\t\\tif (val == null) {\\n\\t\\t\\tthrow new IllegalArgumentException(\\\"Float value required, but not specified\\\");\\n\\t\\t}\\n\\t\\tif (val instanceof Number) {\\n\\t\\t\\treturn ((Number) val).doubleValue();\\n\\t\\t}\\n\\t\\ttry {\\n\\t\\t\\treturn Double.parseDouble((String) val);\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tthrow new IllegalArgumentException(\\\"Float value required, but found: \\\" + val);\\n\\t\\t}\\n\\t}\",\n \"public static final Double getDouble(ClassFile cf, short cpiIndex) {\\n DoubleInfo di = (DoubleInfo) cf.getCpInfo(cpiIndex);\\n return Double.longBitsToDouble(((long) di.highBytes << 32) | (0xffffffffL & di.lowBytes));\\n }\",\n \"public static Stats of(double... values) {\\n/* 122 */ StatsAccumulator acummulator = new StatsAccumulator();\\n/* 123 */ acummulator.addAll(values);\\n/* 124 */ return acummulator.snapshot();\\n/* */ }\",\n \"public double value(){\\n\\t return (double) this.f;\\n }\",\n \"public ArrayList<Double> readFile(String m){\\n ArrayList<Double> a = new ArrayList<Double>();\\n Scanner r = null;\\n try {\\n File f = new File(m);\\n r = new Scanner(f);\\n String scan;\\n while(r.hasNextLine()) {\\n scan = r.nextLine();\\n //System.out.println(scan);\\n // look for comma because our price starts after comma\\n int commaPosition = scan.indexOf(',');\\n //go to next index of the string in one line\\n int nextIndex = commaPosition + 1;\\n // make a string named price to keep the price from one line\\n //substring method takes two parameters- start point and end point(which is integers)\\n //price = smaller string = \\\"2.50\\\", scan = bigger string = \\\"bananas,2.50\\\"\\n String price = scan.substring(nextIndex,scan.length());\\n double doublePrice = Double.parseDouble(price);\\n //System.out.println(doublePrice);\\n a.add(doublePrice);\\n }\\n } catch (FileNotFoundException ex) {\\n\\n } catch (IOException ex) {\\n\\n } finally {\\n if(r!=null) r.close();\\n }\\n return a;\\n\\n }\",\n \"@Override\\n\\tpublic double[] toDoubleArray() {\\n\\t\\treturn null;\\n\\t}\",\n \"public abstract float[] toFloatArray();\",\n \"public float readFloat()\\r\\n/* 447: */ {\\r\\n/* 448:460 */ recordLeakNonRefCountingOperation(this.leak);\\r\\n/* 449:461 */ return super.readFloat();\\r\\n/* 450: */ }\",\n \"public abstract void writeAsDbl(int offset, double d);\",\n \"public double readDouble()\\r\\n/* 453: */ {\\r\\n/* 454:466 */ recordLeakNonRefCountingOperation(this.leak);\\r\\n/* 455:467 */ return super.readDouble();\\r\\n/* 456: */ }\",\n \"private JsonArray datapoint(final Double value, final long ts) {\\n\\n if (value.isNaN()) {\\n return arr();\\n }\\n return arr(value, ts);\\n }\",\n \"public void load( String fileName ) {\\n System.out.println( \\\"Loading: \\\" + fileName );\\n this.name = fileName;\\n Object obj = null;\\n try {\\n FileInputStream fis = new FileInputStream(fileName);\\n ObjectInputStream oos = new ObjectInputStream( fis );\\n obj = oos.readObject();\\n dofs = (double[][]) obj;\\n oos.close();\\n fis.close();\\n } catch ( Exception e ) {\\n e.printStackTrace();\\n } \\n }\",\n \"public ArrayList<Double> getValues() {\\n\\n ArrayList<Double> values = new ArrayList<Double>(); //create new arraylist to return\\n FreqNode tmpNode; //create temp node \\n\\n //traverse entire table \\n for (FreqNode node : frequencyTable) {\\n //set node \\n tmpNode = node;\\n while (true) {\\n if (tmpNode == null) {\\n break;\\n } else {\\n //add value to node in table and cast to double \\n values.add((node.getValue() * 1.0));\\n //set it to the next node \\n tmpNode = tmpNode.getNext();\\n } //end else \\n }//end if \\n }\\n // Return the keys\\n return values;\\n }\",\n \"@Override\\n\\tpublic List<Double> computeValues() {\\n\\t\\treturn null;\\n\\t}\",\n \"private static void insertTimeSeriesOneDim(final ScriptEngine engine,\\r\\n final DataArray data) throws Exception {\\r\\n List<DataEntry> time = data.getDate();\\r\\n int freq = TimeUtils.getFrequency(time);\\r\\n List<Double> doubleList = data.getDouble();\\r\\n double[] doubleArray = new double[doubleList.size()];\\r\\n for (int i = 0; i < doubleList.size(); i++) {\\r\\n doubleArray[i] = doubleList.get(i);\\r\\n }\\r\\n engine.put(\\\"my_double_vector\\\", doubleArray);\\r\\n engine.eval(\\\"ts_0 <- ts(my_double_vector, frequency = \\\"\\r\\n + freq + \\\")\\\");\\r\\n }\",\n \"Double getStartFloat();\",\n \"public List<Double> getData() {\\n return data;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6997097","0.65448064","0.6420158","0.6241261","0.6060583","0.60147303","0.6014709","0.5972213","0.59520096","0.5931642","0.59146595","0.5903449","0.5827682","0.5804927","0.57390577","0.572967","0.571828","0.56917524","0.5678745","0.5654575","0.5650003","0.5638423","0.5634269","0.5631868","0.5606968","0.55791","0.55708987","0.55672044","0.5564099","0.5562579","0.5553446","0.5545063","0.5542862","0.5507536","0.5506567","0.54692245","0.54290605","0.54126734","0.5408804","0.5395052","0.53930485","0.5383527","0.5372575","0.5346211","0.5319327","0.53192556","0.5317791","0.531325","0.5308824","0.5308383","0.52929926","0.52900684","0.52811193","0.5278612","0.526693","0.5266018","0.52526","0.5235419","0.52346015","0.52272743","0.52264774","0.52199674","0.52103823","0.5204057","0.5199738","0.51930046","0.5188536","0.51876014","0.5184464","0.5184147","0.518103","0.5178687","0.5168146","0.516483","0.515912","0.51572007","0.5154366","0.5136094","0.5129073","0.5123523","0.5119728","0.5111548","0.51104176","0.51026696","0.50969875","0.5095122","0.5094185","0.509232","0.50832766","0.50775903","0.50767606","0.5074509","0.50719416","0.50716007","0.5063926","0.50512475","0.5036494","0.5030496","0.50267446","0.5021005"],"string":"[\n \"0.6997097\",\n \"0.65448064\",\n \"0.6420158\",\n \"0.6241261\",\n \"0.6060583\",\n \"0.60147303\",\n \"0.6014709\",\n \"0.5972213\",\n \"0.59520096\",\n \"0.5931642\",\n \"0.59146595\",\n \"0.5903449\",\n \"0.5827682\",\n \"0.5804927\",\n \"0.57390577\",\n \"0.572967\",\n \"0.571828\",\n \"0.56917524\",\n \"0.5678745\",\n \"0.5654575\",\n \"0.5650003\",\n \"0.5638423\",\n \"0.5634269\",\n \"0.5631868\",\n \"0.5606968\",\n \"0.55791\",\n \"0.55708987\",\n \"0.55672044\",\n \"0.5564099\",\n \"0.5562579\",\n \"0.5553446\",\n \"0.5545063\",\n \"0.5542862\",\n \"0.5507536\",\n \"0.5506567\",\n \"0.54692245\",\n \"0.54290605\",\n \"0.54126734\",\n \"0.5408804\",\n \"0.5395052\",\n \"0.53930485\",\n \"0.5383527\",\n \"0.5372575\",\n \"0.5346211\",\n \"0.5319327\",\n \"0.53192556\",\n \"0.5317791\",\n \"0.531325\",\n \"0.5308824\",\n \"0.5308383\",\n \"0.52929926\",\n \"0.52900684\",\n \"0.52811193\",\n \"0.5278612\",\n \"0.526693\",\n \"0.5266018\",\n \"0.52526\",\n \"0.5235419\",\n \"0.52346015\",\n \"0.52272743\",\n \"0.52264774\",\n \"0.52199674\",\n \"0.52103823\",\n \"0.5204057\",\n \"0.5199738\",\n \"0.51930046\",\n \"0.5188536\",\n \"0.51876014\",\n \"0.5184464\",\n \"0.5184147\",\n \"0.518103\",\n \"0.5178687\",\n \"0.5168146\",\n \"0.516483\",\n \"0.515912\",\n \"0.51572007\",\n \"0.5154366\",\n \"0.5136094\",\n \"0.5129073\",\n \"0.5123523\",\n \"0.5119728\",\n \"0.5111548\",\n \"0.51104176\",\n \"0.51026696\",\n \"0.50969875\",\n \"0.5095122\",\n \"0.5094185\",\n \"0.509232\",\n \"0.50832766\",\n \"0.50775903\",\n \"0.50767606\",\n \"0.5074509\",\n \"0.50719416\",\n \"0.50716007\",\n \"0.5063926\",\n \"0.50512475\",\n \"0.5036494\",\n \"0.5030496\",\n \"0.50267446\",\n \"0.5021005\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6953889"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":19782,"cells":{"query":{"kind":"string","value":"Get the tth quote in the series."},"document":{"kind":"string","value":"public double getQuote(int t)\n {\n if(t<0 || t>=size)\n return 0.0;\n return x[t];\n }"},"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":["public double getTick() { // 3\n\t\treturn tic;\n\t}","public String getQuote(){\n\t\tString quote = null;\n\t\ttry {\n\t\t\tcrs = qb.selectFrom(\"qotd\").all().executeQuery();\n\n\t\t\tif(crs.next()) {\n\t\t\t\tquote = crs.getString(\"qotd\");\n\t\t\t}\n\t\t} catch (SQLException e) {\n\t\t\te.printStackTrace();\n\t\t} finally {\n\t\t\ttry {\n\t\t\t\tcrs.close();\n\t\t\t} catch (SQLException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\t\t}\n\t\treturn quote;\n\t}","public java.lang.Integer getThn() {\n return thn;\n }","public java.lang.Integer getThn() {\n return thn;\n }","public String getTrend() {\r\n return fTrend;\r\n }","public Number getTramo() {\n return (Number) getAttributeInternal(TRAMO);\n }","public String getTicker() {\n return this.ticker;\n }","public int getQuarter () {\n return NQuarter;\n }","public String getTicker() {\n\n return ticker.getText();\n }","String getQuoteOfTheDay();","public Integer getQuarter() {\r\n return QTR;\r\n }","public int getQntd() {\r\n\t\treturn this.qntd;\r\n\t}","public int getTON() {\r\n return ton;\r\n }","public String getTradeNo() {\n\t\treturn tradeNo;\n\t}","public BigDecimal getTRX_NO() {\r\n return TRX_NO;\r\n }","public String getTaunt() {\n\t\tRandom rand = new Random();\n\t\tint n = rand.nextInt(3); // creates a random int\n\t\treturn taunts.get(n); // returns the taunt at that index\n\t}","public String getQuote();","public Trade getTrade()\n\t{\n\t\treturn m_trade;\n\t}","public String getText(int index) {\r\n\t ChartDataHistogramDouble thCartData = ((ChartDataHistogramDouble) chartData);\r\n\t\tif (index < 0 || index >= this.getNumOfData()) return \"\";\r\n\t\telse return thCartData.getObservedString(index);\r\n\t}","public String getTradeOrder() {\n\t\treturn tradeOrder;\n\t}","public java.lang.String getTRADE() {\n return TRADE;\n }","@Override\r\n\tpublic Trade getTrade() {\n\t\treturn trade;\r\n\t}","public LocalQuote\t\tgetQuote();","public String getQuarter() {\r\n return quarter;\r\n }","public String getQuote() {\r\n\t\tString qt = this.getName() + \" (\" + this.getSymbol() + \")\\n\" + \"Price: \" + this.getLastPrice() + \"\\t\" + \"hi: \"\r\n\t\t\t\t+ this.getHighPrice() + \"\\t\" + \"low: \" + this.getLowPrice() + \"\\t\" + \"vol: \" + this.getVol() + \"\\n\";\r\n\t\tqt += \"Ask: \";\r\n\t\tif (!buy.isEmpty()) {\r\n\t\t\tqt += buy.peek().getPrice();\r\n\t\t\tqt += \" size: \" + buy.peek().getShares();\r\n\t\t} else\r\n\t\t\tqt += \"none \";\r\n\r\n\t\tqt += \"Bid: \";\r\n\t\tif (!sell.isEmpty()) {\r\n\t\t\tqt += sell.peek().getPrice();\r\n\t\t\tqt += \"size: \" + sell.peek().getShares();\r\n\t\t} else\r\n\t\t\tqt += \"none \";\r\n\t\treturn qt;\r\n\t}","public String getTentSymbol(){ return tentSymbol;}","public StockTicks getTicks() {\n if (getTicks == null)\n getTicks = new StockTicks(jsBase + \".ticks()\");\n\n return getTicks;\n }","public double getSqrQuote(int t)\n {\n if(t<0 || t>=size)\n return 0.0;\n return x[t]*x[t];\n }","private int getMQuote()\n {\n if (mQuote != 0)\n {\n return mQuote; // already calculated\n }\n\n// assert this.sign > 0;\n\n int d = -magnitude[magnitude.length - 1];\n\n// assert (d & 1) != 0;\n\n return mQuote = modInverse32(d);\n }","public int getTick() {\r\n\t\treturn tick;\r\n\t}","public TWord getTWordAt(int pos){\n\t\treturn sentence.get(pos);\n\t}","public String getTitleFormula() {\n\t if(! chart.isSetTitle()) {\n\t return null;\n\t }\n\n\t CTTitle title = chart.getTitle();\n\t \n\t if (! title.isSetTx()) {\n\t return null;\n\t }\n\t \n\t CTTx tx = title.getTx();\n\t \n\t if (! tx.isSetStrRef()) {\n\t return null;\n\t }\n\t \n\t return tx.getStrRef().getF();\n\t}","public String getTranno() {\n return tranno;\n }","public String getTiempo() {\r\n return tiempo;\r\n }","public TesisatTur getTesisatTur() {\r\n\t\treturn tesisatTur;\r\n\t}","public java.lang.String getNumeroTramite() {\n return numeroTramite;\n }","public double getT() {\r\n\t\treturn t;\t\r\n\t\t}","public String getTutNum() {\n return tutNum;\n }","public String getQuote(String weather){\n String quote = null;\n Random indexer = new Random();\n int index = indexer.nextInt(4);\n if(weather.equals(\"SUN\"))\n quote = String.format(\": %s\", this.sun[index]);\n else if(weather.equals(\"RAIN\"))\n quote = String.format(\": %s\", this.rain[index]);\n else if(weather.equals(\"FOG\"))\n quote = String.format(\": %s\", this.fog[index]);\n else if(weather.equals(\"SNOW\"))\n quote = String.format(\": %s\", this.snow[index]);\n\n return quote;\n }","public static String randomQuote() {\n\t\tint i = (int) (Math.random() * quotes.length);\n\t\treturn quotes[i];\n\t}","public String getQuotes() {\r\n\t\treturn this.quotes;\r\n\t}","public String getNUM_TANQUE() {\n return NUM_TANQUE;\n }","long getSymbol();","public int getTick() {\r\n return tick;\r\n }","public Short getTradeSeq() {\n\t\treturn tradeSeq;\n\t}","public Integer getQuoteId() {\n\t\treturn quoteId;\n\t}","private WebElement getTHead() {\r\n\t\tif (null == this.thead) {\r\n\t\t\ttry {\r\n\t\t\t\tthis.thead = this.findElement(By.xpath(HtmlTags.THEAD));\r\n\t\t\t}\r\n\t\t\tcatch (NotFoundException ex) {\r\n\t\t\t\tif (this.logger.isDebugEnabled()) {\r\n\t\t\t\t\tthis.logger.debug(ex.getMessage(), ex);\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\treturn this.thead;\r\n\t}","public int getMyThick() {\n\t\treturn myThick;\n\t}","Text getT();","public int getTrangthaiChiTiet();","public T getSecond() {\n\t\t\treturn t;\n\t\t}","@JsonProperty(\"ticker\")\n public String getTicker() {\n return ticker;\n }","public long getTick() {\n return tick;\n }","public long getTick() {\n return tick;\n }","public int getQuarters()\n {\n\treturn quarters;\n }","public int getSeriesStart() { return _dataSet.getSeriesStart(); }","public int getToxicity() {\n \t\treturn toxicity;\n \t}","@Override\n\tpublic java.lang.String getMoTa() {\n\t\treturn _keHoachKiemDemNuoc.getMoTa();\n\t}","public java.lang.String getTAX_CODE() {\r\n return TAX_CODE;\r\n }","public String getSymbol()\n {\n return annot.getString(COSName.SY);\n }","@Override\n public String hienThiTT() {\n String thongTin = \"\";\n thongTin = \"ho ten: \" + this.hoTen + \", tuoi: \" + this.tuoi + \", dia chi: \" + this.diaChi\n + \", sdt: \" + this.sdt + \", mon day: \" + this.monDay + \", to bo mon: \" + this.toBoMon;\n \n System.out.println(thongTin);\n return thongTin;\n }","public BigDecimal getTrxAmt();","public TipeToken getTkn() /*const*/{\n\t\treturn Tkn;\n\t}","TradingProduct getTradingProduct();","public double getPreTB() {\n return preTB;\n }","public String getT() {\n\t\treturn t;\n\t}","public String getwPrTradeNo() {\n return wPrTradeNo;\n }","public String getMasechta() {\r\n\t\treturn masechtosBavli[masechtaNumber];\r\n\t}","public String getTema() {\n return this.tema;\n }","int getFirstTick();","public org.drip.measure.stochastic.LabelCorrelation singleCurveTenorCorrelation()\n\t{\n\t\treturn _singleCurveTenorCorrelation;\n\t}","public String getThenote() {\n return thenote;\n }","public BigDecimal getTRS_NO() {\r\n return TRS_NO;\r\n }","public BigDecimal getTRS_NO() {\r\n return TRS_NO;\r\n }","public String getTensp() {\n return tensp;\n }","public String getTitleID() {\n\t\treturn tid;\n\t}","public java.lang.String getTAXJURCODE() {\r\n return TAXJURCODE;\r\n }","public long gettNum() {\n return tNum;\n }","public Number getCurrentQtr() {\r\n return (Number) getAttributeInternal(CURRENTQTR);\r\n }","public int getShirt() {\n return shirt_;\n }","public String randomQuote() {//gets a random quote from the listofQuotes\r\n\t\tint randomNumber = random.nextInt(listofQuotes.size());\r\n\t\tString randomQuote = listofQuotes.get(randomNumber);\r\n\t\treturn randomQuote;\r\n\t}","public String getShirtNumber() {\n\t\treturn shirtNumber;\n\t}","public int getShirt() {\n return shirt_;\n }","public String getTextInNextTD() throws ParseException {\n return getTextInNextElement(\"td\");\n }","public int get(long instant) {\n return BuddhistChronology.BE;\n }","public String getString() {\n\t\treturn \"T\";\n\t}","public void getQuote(String symbol)\r\n {\r\n brokerage.getQuote(symbol, this);\r\n }","public int getToll() {\n\t\treturn toll;\n\t}","public String getTen() {\n\t\treturn ten;\n\t}","public float getTcintmprice()\r\n {\r\n return _tcintmprice;\r\n }","public java.lang.Short getTollIndication() {\r\n return tollIndication;\r\n }","public double getTaxa() {\n\t\treturn taxa;\n\t}","public java.lang.Object getQuoteID() {\n return quoteID;\n }","public String getMasechtaTransliterated() {\r\n\t\treturn masechtosBavliTransliterated[masechtaNumber];\r\n\t}","public Timestamp getDateTrx();","public Timestamp getDateTrx();","public double getTax() {\n return tax_;\n }","public int get_thema() {\n\t\treturn this.thema;\n\t}","public String getToolTipText(int series, int item) {\n\n String result = null;\n\n if (series < getListCount()) {\n List tooltips = (List) this.toolTipSeries.get(series);\n if (tooltips != null) {\n if (item < tooltips.size()) {\n result = (String) tooltips.get(item);\n }\n }\n }\n\n return result;\n }","public double getTax() {\n return tax_;\n }"],"string":"[\n \"public double getTick() { // 3\\n\\t\\treturn tic;\\n\\t}\",\n \"public String getQuote(){\\n\\t\\tString quote = null;\\n\\t\\ttry {\\n\\t\\t\\tcrs = qb.selectFrom(\\\"qotd\\\").all().executeQuery();\\n\\n\\t\\t\\tif(crs.next()) {\\n\\t\\t\\t\\tquote = crs.getString(\\\"qotd\\\");\\n\\t\\t\\t}\\n\\t\\t} catch (SQLException e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t} finally {\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tcrs.close();\\n\\t\\t\\t} catch (SQLException e) {\\n\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn quote;\\n\\t}\",\n \"public java.lang.Integer getThn() {\\n return thn;\\n }\",\n \"public java.lang.Integer getThn() {\\n return thn;\\n }\",\n \"public String getTrend() {\\r\\n return fTrend;\\r\\n }\",\n \"public Number getTramo() {\\n return (Number) getAttributeInternal(TRAMO);\\n }\",\n \"public String getTicker() {\\n return this.ticker;\\n }\",\n \"public int getQuarter () {\\n return NQuarter;\\n }\",\n \"public String getTicker() {\\n\\n return ticker.getText();\\n }\",\n \"String getQuoteOfTheDay();\",\n \"public Integer getQuarter() {\\r\\n return QTR;\\r\\n }\",\n \"public int getQntd() {\\r\\n\\t\\treturn this.qntd;\\r\\n\\t}\",\n \"public int getTON() {\\r\\n return ton;\\r\\n }\",\n \"public String getTradeNo() {\\n\\t\\treturn tradeNo;\\n\\t}\",\n \"public BigDecimal getTRX_NO() {\\r\\n return TRX_NO;\\r\\n }\",\n \"public String getTaunt() {\\n\\t\\tRandom rand = new Random();\\n\\t\\tint n = rand.nextInt(3); // creates a random int\\n\\t\\treturn taunts.get(n); // returns the taunt at that index\\n\\t}\",\n \"public String getQuote();\",\n \"public Trade getTrade()\\n\\t{\\n\\t\\treturn m_trade;\\n\\t}\",\n \"public String getText(int index) {\\r\\n\\t ChartDataHistogramDouble thCartData = ((ChartDataHistogramDouble) chartData);\\r\\n\\t\\tif (index < 0 || index >= this.getNumOfData()) return \\\"\\\";\\r\\n\\t\\telse return thCartData.getObservedString(index);\\r\\n\\t}\",\n \"public String getTradeOrder() {\\n\\t\\treturn tradeOrder;\\n\\t}\",\n \"public java.lang.String getTRADE() {\\n return TRADE;\\n }\",\n \"@Override\\r\\n\\tpublic Trade getTrade() {\\n\\t\\treturn trade;\\r\\n\\t}\",\n \"public LocalQuote\\t\\tgetQuote();\",\n \"public String getQuarter() {\\r\\n return quarter;\\r\\n }\",\n \"public String getQuote() {\\r\\n\\t\\tString qt = this.getName() + \\\" (\\\" + this.getSymbol() + \\\")\\\\n\\\" + \\\"Price: \\\" + this.getLastPrice() + \\\"\\\\t\\\" + \\\"hi: \\\"\\r\\n\\t\\t\\t\\t+ this.getHighPrice() + \\\"\\\\t\\\" + \\\"low: \\\" + this.getLowPrice() + \\\"\\\\t\\\" + \\\"vol: \\\" + this.getVol() + \\\"\\\\n\\\";\\r\\n\\t\\tqt += \\\"Ask: \\\";\\r\\n\\t\\tif (!buy.isEmpty()) {\\r\\n\\t\\t\\tqt += buy.peek().getPrice();\\r\\n\\t\\t\\tqt += \\\" size: \\\" + buy.peek().getShares();\\r\\n\\t\\t} else\\r\\n\\t\\t\\tqt += \\\"none \\\";\\r\\n\\r\\n\\t\\tqt += \\\"Bid: \\\";\\r\\n\\t\\tif (!sell.isEmpty()) {\\r\\n\\t\\t\\tqt += sell.peek().getPrice();\\r\\n\\t\\t\\tqt += \\\"size: \\\" + sell.peek().getShares();\\r\\n\\t\\t} else\\r\\n\\t\\t\\tqt += \\\"none \\\";\\r\\n\\t\\treturn qt;\\r\\n\\t}\",\n \"public String getTentSymbol(){ return tentSymbol;}\",\n \"public StockTicks getTicks() {\\n if (getTicks == null)\\n getTicks = new StockTicks(jsBase + \\\".ticks()\\\");\\n\\n return getTicks;\\n }\",\n \"public double getSqrQuote(int t)\\n {\\n if(t<0 || t>=size)\\n return 0.0;\\n return x[t]*x[t];\\n }\",\n \"private int getMQuote()\\n {\\n if (mQuote != 0)\\n {\\n return mQuote; // already calculated\\n }\\n\\n// assert this.sign > 0;\\n\\n int d = -magnitude[magnitude.length - 1];\\n\\n// assert (d & 1) != 0;\\n\\n return mQuote = modInverse32(d);\\n }\",\n \"public int getTick() {\\r\\n\\t\\treturn tick;\\r\\n\\t}\",\n \"public TWord getTWordAt(int pos){\\n\\t\\treturn sentence.get(pos);\\n\\t}\",\n \"public String getTitleFormula() {\\n\\t if(! chart.isSetTitle()) {\\n\\t return null;\\n\\t }\\n\\n\\t CTTitle title = chart.getTitle();\\n\\t \\n\\t if (! title.isSetTx()) {\\n\\t return null;\\n\\t }\\n\\t \\n\\t CTTx tx = title.getTx();\\n\\t \\n\\t if (! tx.isSetStrRef()) {\\n\\t return null;\\n\\t }\\n\\t \\n\\t return tx.getStrRef().getF();\\n\\t}\",\n \"public String getTranno() {\\n return tranno;\\n }\",\n \"public String getTiempo() {\\r\\n return tiempo;\\r\\n }\",\n \"public TesisatTur getTesisatTur() {\\r\\n\\t\\treturn tesisatTur;\\r\\n\\t}\",\n \"public java.lang.String getNumeroTramite() {\\n return numeroTramite;\\n }\",\n \"public double getT() {\\r\\n\\t\\treturn t;\\t\\r\\n\\t\\t}\",\n \"public String getTutNum() {\\n return tutNum;\\n }\",\n \"public String getQuote(String weather){\\n String quote = null;\\n Random indexer = new Random();\\n int index = indexer.nextInt(4);\\n if(weather.equals(\\\"SUN\\\"))\\n quote = String.format(\\\": %s\\\", this.sun[index]);\\n else if(weather.equals(\\\"RAIN\\\"))\\n quote = String.format(\\\": %s\\\", this.rain[index]);\\n else if(weather.equals(\\\"FOG\\\"))\\n quote = String.format(\\\": %s\\\", this.fog[index]);\\n else if(weather.equals(\\\"SNOW\\\"))\\n quote = String.format(\\\": %s\\\", this.snow[index]);\\n\\n return quote;\\n }\",\n \"public static String randomQuote() {\\n\\t\\tint i = (int) (Math.random() * quotes.length);\\n\\t\\treturn quotes[i];\\n\\t}\",\n \"public String getQuotes() {\\r\\n\\t\\treturn this.quotes;\\r\\n\\t}\",\n \"public String getNUM_TANQUE() {\\n return NUM_TANQUE;\\n }\",\n \"long getSymbol();\",\n \"public int getTick() {\\r\\n return tick;\\r\\n }\",\n \"public Short getTradeSeq() {\\n\\t\\treturn tradeSeq;\\n\\t}\",\n \"public Integer getQuoteId() {\\n\\t\\treturn quoteId;\\n\\t}\",\n \"private WebElement getTHead() {\\r\\n\\t\\tif (null == this.thead) {\\r\\n\\t\\t\\ttry {\\r\\n\\t\\t\\t\\tthis.thead = this.findElement(By.xpath(HtmlTags.THEAD));\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tcatch (NotFoundException ex) {\\r\\n\\t\\t\\t\\tif (this.logger.isDebugEnabled()) {\\r\\n\\t\\t\\t\\t\\tthis.logger.debug(ex.getMessage(), ex);\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\treturn this.thead;\\r\\n\\t}\",\n \"public int getMyThick() {\\n\\t\\treturn myThick;\\n\\t}\",\n \"Text getT();\",\n \"public int getTrangthaiChiTiet();\",\n \"public T getSecond() {\\n\\t\\t\\treturn t;\\n\\t\\t}\",\n \"@JsonProperty(\\\"ticker\\\")\\n public String getTicker() {\\n return ticker;\\n }\",\n \"public long getTick() {\\n return tick;\\n }\",\n \"public long getTick() {\\n return tick;\\n }\",\n \"public int getQuarters()\\n {\\n\\treturn quarters;\\n }\",\n \"public int getSeriesStart() { return _dataSet.getSeriesStart(); }\",\n \"public int getToxicity() {\\n \\t\\treturn toxicity;\\n \\t}\",\n \"@Override\\n\\tpublic java.lang.String getMoTa() {\\n\\t\\treturn _keHoachKiemDemNuoc.getMoTa();\\n\\t}\",\n \"public java.lang.String getTAX_CODE() {\\r\\n return TAX_CODE;\\r\\n }\",\n \"public String getSymbol()\\n {\\n return annot.getString(COSName.SY);\\n }\",\n \"@Override\\n public String hienThiTT() {\\n String thongTin = \\\"\\\";\\n thongTin = \\\"ho ten: \\\" + this.hoTen + \\\", tuoi: \\\" + this.tuoi + \\\", dia chi: \\\" + this.diaChi\\n + \\\", sdt: \\\" + this.sdt + \\\", mon day: \\\" + this.monDay + \\\", to bo mon: \\\" + this.toBoMon;\\n \\n System.out.println(thongTin);\\n return thongTin;\\n }\",\n \"public BigDecimal getTrxAmt();\",\n \"public TipeToken getTkn() /*const*/{\\n\\t\\treturn Tkn;\\n\\t}\",\n \"TradingProduct getTradingProduct();\",\n \"public double getPreTB() {\\n return preTB;\\n }\",\n \"public String getT() {\\n\\t\\treturn t;\\n\\t}\",\n \"public String getwPrTradeNo() {\\n return wPrTradeNo;\\n }\",\n \"public String getMasechta() {\\r\\n\\t\\treturn masechtosBavli[masechtaNumber];\\r\\n\\t}\",\n \"public String getTema() {\\n return this.tema;\\n }\",\n \"int getFirstTick();\",\n \"public org.drip.measure.stochastic.LabelCorrelation singleCurveTenorCorrelation()\\n\\t{\\n\\t\\treturn _singleCurveTenorCorrelation;\\n\\t}\",\n \"public String getThenote() {\\n return thenote;\\n }\",\n \"public BigDecimal getTRS_NO() {\\r\\n return TRS_NO;\\r\\n }\",\n \"public BigDecimal getTRS_NO() {\\r\\n return TRS_NO;\\r\\n }\",\n \"public String getTensp() {\\n return tensp;\\n }\",\n \"public String getTitleID() {\\n\\t\\treturn tid;\\n\\t}\",\n \"public java.lang.String getTAXJURCODE() {\\r\\n return TAXJURCODE;\\r\\n }\",\n \"public long gettNum() {\\n return tNum;\\n }\",\n \"public Number getCurrentQtr() {\\r\\n return (Number) getAttributeInternal(CURRENTQTR);\\r\\n }\",\n \"public int getShirt() {\\n return shirt_;\\n }\",\n \"public String randomQuote() {//gets a random quote from the listofQuotes\\r\\n\\t\\tint randomNumber = random.nextInt(listofQuotes.size());\\r\\n\\t\\tString randomQuote = listofQuotes.get(randomNumber);\\r\\n\\t\\treturn randomQuote;\\r\\n\\t}\",\n \"public String getShirtNumber() {\\n\\t\\treturn shirtNumber;\\n\\t}\",\n \"public int getShirt() {\\n return shirt_;\\n }\",\n \"public String getTextInNextTD() throws ParseException {\\n return getTextInNextElement(\\\"td\\\");\\n }\",\n \"public int get(long instant) {\\n return BuddhistChronology.BE;\\n }\",\n \"public String getString() {\\n\\t\\treturn \\\"T\\\";\\n\\t}\",\n \"public void getQuote(String symbol)\\r\\n {\\r\\n brokerage.getQuote(symbol, this);\\r\\n }\",\n \"public int getToll() {\\n\\t\\treturn toll;\\n\\t}\",\n \"public String getTen() {\\n\\t\\treturn ten;\\n\\t}\",\n \"public float getTcintmprice()\\r\\n {\\r\\n return _tcintmprice;\\r\\n }\",\n \"public java.lang.Short getTollIndication() {\\r\\n return tollIndication;\\r\\n }\",\n \"public double getTaxa() {\\n\\t\\treturn taxa;\\n\\t}\",\n \"public java.lang.Object getQuoteID() {\\n return quoteID;\\n }\",\n \"public String getMasechtaTransliterated() {\\r\\n\\t\\treturn masechtosBavliTransliterated[masechtaNumber];\\r\\n\\t}\",\n \"public Timestamp getDateTrx();\",\n \"public Timestamp getDateTrx();\",\n \"public double getTax() {\\n return tax_;\\n }\",\n \"public int get_thema() {\\n\\t\\treturn this.thema;\\n\\t}\",\n \"public String getToolTipText(int series, int item) {\\n\\n String result = null;\\n\\n if (series < getListCount()) {\\n List tooltips = (List) this.toolTipSeries.get(series);\\n if (tooltips != null) {\\n if (item < tooltips.size()) {\\n result = (String) tooltips.get(item);\\n }\\n }\\n }\\n\\n return result;\\n }\",\n \"public double getTax() {\\n return tax_;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.604744","0.5943398","0.5878005","0.58649635","0.5774259","0.576446","0.57144666","0.57097787","0.56965274","0.5662565","0.55669814","0.5560736","0.55371404","0.5530598","0.54584324","0.54466325","0.5437523","0.5423475","0.5395896","0.5327191","0.5322363","0.5322174","0.52994156","0.52773887","0.5273788","0.5251905","0.52289414","0.5228152","0.52186483","0.52106977","0.51986784","0.5188231","0.5169239","0.51073676","0.5101211","0.5086378","0.5076948","0.50763375","0.50720215","0.5057663","0.5050599","0.5043784","0.50430924","0.5041446","0.5036678","0.5017557","0.50072414","0.50010073","0.4983492","0.49813893","0.49747172","0.49667367","0.49660066","0.49660066","0.4963569","0.49568078","0.4950864","0.49476337","0.49364468","0.49264345","0.4913648","0.4907735","0.49024794","0.48957613","0.48814425","0.4878406","0.4876182","0.48747295","0.48723546","0.48687944","0.4864459","0.48629904","0.48621675","0.48621675","0.48592478","0.48555914","0.48500133","0.484436","0.4837413","0.48273963","0.48270458","0.48204163","0.4819143","0.48147163","0.481358","0.48123565","0.480596","0.48058084","0.4803401","0.48028722","0.4799501","0.47986194","0.47980425","0.4796962","0.47813153","0.47813153","0.47803095","0.4759755","0.475619","0.47453287"],"string":"[\n \"0.604744\",\n \"0.5943398\",\n \"0.5878005\",\n \"0.58649635\",\n \"0.5774259\",\n \"0.576446\",\n \"0.57144666\",\n \"0.57097787\",\n \"0.56965274\",\n \"0.5662565\",\n \"0.55669814\",\n \"0.5560736\",\n \"0.55371404\",\n \"0.5530598\",\n \"0.54584324\",\n \"0.54466325\",\n \"0.5437523\",\n \"0.5423475\",\n \"0.5395896\",\n \"0.5327191\",\n \"0.5322363\",\n \"0.5322174\",\n \"0.52994156\",\n \"0.52773887\",\n \"0.5273788\",\n \"0.5251905\",\n \"0.52289414\",\n \"0.5228152\",\n \"0.52186483\",\n \"0.52106977\",\n \"0.51986784\",\n \"0.5188231\",\n \"0.5169239\",\n \"0.51073676\",\n \"0.5101211\",\n \"0.5086378\",\n \"0.5076948\",\n \"0.50763375\",\n \"0.50720215\",\n \"0.5057663\",\n \"0.5050599\",\n \"0.5043784\",\n \"0.50430924\",\n \"0.5041446\",\n \"0.5036678\",\n \"0.5017557\",\n \"0.50072414\",\n \"0.50010073\",\n \"0.4983492\",\n \"0.49813893\",\n \"0.49747172\",\n \"0.49667367\",\n \"0.49660066\",\n \"0.49660066\",\n \"0.4963569\",\n \"0.49568078\",\n \"0.4950864\",\n \"0.49476337\",\n \"0.49364468\",\n \"0.49264345\",\n \"0.4913648\",\n \"0.4907735\",\n \"0.49024794\",\n \"0.48957613\",\n \"0.48814425\",\n \"0.4878406\",\n \"0.4876182\",\n \"0.48747295\",\n \"0.48723546\",\n \"0.48687944\",\n \"0.4864459\",\n \"0.48629904\",\n \"0.48621675\",\n \"0.48621675\",\n \"0.48592478\",\n \"0.48555914\",\n \"0.48500133\",\n \"0.484436\",\n \"0.4837413\",\n \"0.48273963\",\n \"0.48270458\",\n \"0.48204163\",\n \"0.4819143\",\n \"0.48147163\",\n \"0.481358\",\n \"0.48123565\",\n \"0.480596\",\n \"0.48058084\",\n \"0.4803401\",\n \"0.48028722\",\n \"0.4799501\",\n \"0.47986194\",\n \"0.47980425\",\n \"0.4796962\",\n \"0.47813153\",\n \"0.47813153\",\n \"0.47803095\",\n \"0.4759755\",\n \"0.475619\",\n \"0.47453287\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6981264"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":19783,"cells":{"query":{"kind":"string","value":"Get the square of the tth quote in the series."},"document":{"kind":"string","value":"public double getSqrQuote(int t)\n {\n if(t<0 || t>=size)\n return 0.0;\n return x[t]*x[t];\n }"},"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":["public double getQuote(int t)\n {\n if(t<0 || t>=size)\n return 0.0;\n return x[t];\n }","private int getMQuote()\n {\n if (mQuote != 0)\n {\n return mQuote; // already calculated\n }\n\n// assert this.sign > 0;\n\n int d = -magnitude[magnitude.length - 1];\n\n// assert (d & 1) != 0;\n\n return mQuote = modInverse32(d);\n }","double getSquareNumber();","public double getTick() { // 3\n\t\treturn tic;\n\t}","private static double sq (double x) {\n return Math.pow(x, 2);\n }","public double getS() { return s; }","public int getQuarter () {\n return NQuarter;\n }","public final double getS()\r\n\t{\r\n\t\treturn s;\r\n\t}","public Number getTramo() {\n return (Number) getAttributeInternal(TRAMO);\n }","public double getT() {\r\n\t\treturn t;\t\r\n\t\t}","public double getSkew() {\n if (isReal) {\n return get(\"ts\");\n } else {\n return simTs.getDouble(0.0);\n }\n }","private static int getSquarePosition(int index) {\n return (((index/3)%3)+1)+3*(((index/9)/3)+1);\n }","public int getIthSroce(int ith) {\n if (ith <= 0 || ith > round) throw new IllegalArgumentException();\n return score[ith - 1];\n }","public int getUnitPow(int index) {\n return _elements[index].getPow();\n }","public int getTON() {\r\n return ton;\r\n }","public int getS() {\n\t\treturn (Math.max(getSquare(tractor).getSand()-getK(),0));\n\t}","public int getSingles() {\n return h-(d+t+hr);\n }","public double get(CANTalon talon) {\n\t\treturn talon.get();\n\t}","public double getSpreadTc() {\r\n return spreadTc;\r\n }","private static int calculateThoriumSulfideQuantity(String string) {\n int result = 2;\n int[] numArr = Arrays.stream(string.split(\" \"))\n .mapToInt(Integer::parseInt).toArray();\n\n for (int n : numArr) {\n result *= n;\n }\n return result;\n }","public int q(int t) {\n return map.get(map.floorKey(t));\n }","public String getQuote(){\n\t\tString quote = null;\n\t\ttry {\n\t\t\tcrs = qb.selectFrom(\"qotd\").all().executeQuery();\n\n\t\t\tif(crs.next()) {\n\t\t\t\tquote = crs.getString(\"qotd\");\n\t\t\t}\n\t\t} catch (SQLException e) {\n\t\t\te.printStackTrace();\n\t\t} finally {\n\t\t\ttry {\n\t\t\t\tcrs.close();\n\t\t\t} catch (SQLException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\t\t}\n\t\treturn quote;\n\t}","public BigDecimal getTrxAmt();","protected int t(int n) {\r\n\t\treturn Math.floorDiv(n * (n - 1), 2);\r\n\t}","public T getSecond() {\n\t\t\treturn t;\n\t\t}","public java.lang.Integer getThn() {\n return thn;\n }","public double topInt(double tenths) {\n double rounded = Math.floor(tenths)+1.0;\n\n return rounded;\n}","public double GetTonnage() {\n if( LotSize != CurLotSize ) {\n double TonsPerShot = Tonnage / (double) LotSize;\n return CommonTools.RoundFractionalTons( TonsPerShot * (double) CurLotSize );\n }\n return Tonnage;\n }","private static final int getPower(Parsing t) {\n\t\tchar s='+';\t\t// Exponent Sign\n\t\tint pow=0;\t\t// Exponent Value\n\t\tint inum=0;\t\t// Index of exponent\n\t\tint posini=t.pos;\n\t\t//System.out.print(\"....getPower on '\" + this + \"', pos=\" + pos + \": \");\n\t\tt.pos = t.length-1;\n\t\tif (Character.isDigit(t.a[t.pos])) {\n\t\t\twhile (Character.isDigit(t.a[t.pos])) --t.pos;\n\t\t\ts = t.a[t.pos];\n\t\t\tif ((s == '+') || (s == '-')) ;\t// Exponent starts here\n\t\t\telse ++t.pos;\n\t\t\tinum = t.pos;\n\t\t\tpow = t.parseInt();\n\t\t\t//System.out.print(\"found pow=\" + pow + \",pos=\" + pos);\n\t\t}\n\t\tif (pow != 0) {\t\t// Verify the power is meaningful\n\t\t\tif (t.a[0] == '(') {\n\t\t\t\tif (t.a[inum-1] != ')') pow = 0;\n\t\t\t}\n\t\t\telse {\t\t// could be e.g. m2\n\t\t\t\tfor (int i=0; i<inum; i++) {\n\t\t\t\t\t// Verify the unit is not a complex one\n\t\t\t\t\tif (!Character.isLetter(t.a[i])) pow = 0;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif (pow == 0) t.pos = posini;\n\t\telse t.pos = inum;\n\t\t//System.out.println(\" pow=\" + pow + \", pos=\" + pos);\n\t\treturn(pow);\n\t}","public Square getTractor() {\n\t\treturn tractor;\n\t}","public java.lang.Integer getThn() {\n return thn;\n }","double tirer();","public double dollarTorp()\r\n\t{\r\n\t\treturn getAmount() * 14251.25;\r\n\t}","public Integer getQuarter() {\r\n return QTR;\r\n }","public static BigInteger getNth(long n)\n {\n if (n == 0 || n == 1) { return BigInteger.valueOf(n); }\n else { return power(atom, n - 1)[0][0]; } \n }","public static double sq(double x) {\n return x * x;\n }","TickerPrice getPrice(String symbol);","public int getQntd() {\r\n\t\treturn this.qntd;\r\n\t}","public double getSecond() {\n return second;\n }","public double getFirst()\n {\n return first;\n }","private static String getPrice(WebElement s) {\n\n\t\treturn s.findElement(By.xpath(\"following-sibling::td[1]\")).getText();\n\n\t}","public double getFirst() {\n return first;\n }","public float getTcintmprice()\r\n {\r\n return _tcintmprice;\r\n }","@Field(26) \n\tpublic double TradePrice() {\n\t\treturn this.io.getDoubleField(this, 26);\n\t}","long getSymbol();","public double getChiSquare() {\r\n\t\treturn chisq;\r\n\t}","String getQuoteOfTheDay();","public int tget() {\n return denom_hi * 256 + denom_lo;\n }","private double term(boolean get){\n\t\t// compute the left argument which has to be a primary value or an expression with a higher priority than products\n\t\tdouble left = pot(get);\n\t\tfor(;;){\n\t\t\tswitch(curr_tok){\n\t\t\t\tcase MUL:{\n\t\t\t\t\tleft*=pot(true);\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tcase DIV:{\n\t\t\t\t\tdouble d;\n\t\t\t\t\tif((d=pot(true)) != 0){\n\t\t\t\t\t\tleft/=d;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t}\n\t\t\t\t\t//System.err.println(\"Error::TermParser::term(): Invalid operation. Division by 0.\");\n\t\t\t\t\treturn Double.NaN;\n\t\t\t\t}\n\t\t\t\tdefault:{\n\t\t\t\t\treturn left;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}","public double getThigh() {\n return thigh;\n }","public BigDecimal getTRX_NO() {\r\n return TRX_NO;\r\n }","public int getSquareNumber() {\n\t\treturn squareNumber;\n\t}","public int getQuarters()\n {\n\treturn quarters;\n }","private BigInteger squareKaratsuba() {\n int half = (mag.length+1) / 2;\n\n BigInteger xl = getLower(half);\n BigInteger xh = getUpper(half);\n\n BigInteger xhs = xh.square(); // xhs = xh^2\n BigInteger xls = xl.square(); // xls = xl^2\n\n // xh^2 << 64 + (((xl+xh)^2 - (xh^2 + xl^2)) << 32) + xl^2\n return xhs.shiftLeft(half*32).add(xl.add(xh).square().subtract(xhs.add(xls))).shiftLeft(half*32).add(xls);\n }","public double getChiSquare() {\n\treturn chiSq;\n }","public double getSecond()\n {\n return second;\n }","public double sqRoot(double num) {\n double base = 0;\n while (base < num) {\n base++;\n if ((base * base) == num) {\n return base;\n }\n }\n\n double termInSequence = ((base * base) + num) / (2 * base);\n for (int i = 0; i < 10; i++) {\n termInSequence = ((termInSequence * termInSequence) + num) / (2 * termInSequence);\n }\n return Double.parseDouble(String.format(\"%.9f\", termInSequence));\n }","public double getSquareLength() {\n return r * r + i * i;\n }","public double getTiempoDijkstraSencillo()\n {\n return tiempoDijkstraSencillo;\n }","int getFirstTick();","public String getTaunt() {\n\t\tRandom rand = new Random();\n\t\tint n = rand.nextInt(3); // creates a random int\n\t\treturn taunts.get(n); // returns the taunt at that index\n\t}","public double nextDoubleOpen() {\n\tdouble result = d1 / POW3_33;\n\tnextIterate();\n\treturn result;\n }","public float squared(){\r\n\t\treturn this.dottedWith( this );\r\n\t}","private double hypTan(double x){\n\t\t//System.out.print(\".\");\n\t\treturn (Math.tanh(k*x)*0.5) + 0.5;\t\n\t}","public int getSymbology() {\r\n return Symbology;\r\n }","public Number getQtyMulPrice() {\n return (Number)getAttributeInternal(QTYMULPRICE);\n }","public static double termSlotwaarde(final int n, final int t, final double i)\n\t{\n\t\tdouble n1 = Math.floor(n * t);\n\t\tdouble r = 1d + termPercentage(t, t) / HON_PERCENT;\n\t\treturn Math.pow(r, n1);\n\t}","public double getCost() {\n return this.product.getPrice() * quanity;\n }","public double t1() {\n\t\treturn segments.size() - 1;\n\t}","public long mo9755t() {\n return mo9762y();\n }","public double tempoMedio(String t){\n\t\tt = t.toUpperCase();\n\t\tif(t == \"B\"){\n\t\t\treturn this.tempMB;\n\t\t}else if(t == \"S\"){\n\t\t\treturn this.tempMS;\n\t\t}else if(t == \"I\"){\n\t\t\treturn this.tempMI;\n\t\t}\n\t\n\t\treturn 0;\n\t}","public Node term()\r\n\t{\r\n\t\tNode lhs = negaposi();\r\n\t\tif(lhs!=null)\r\n\t\t{\r\n\t\t\tint index = lexer.getPosition();\r\n\t\t\tLexer.Token token = lexer.getToken();\r\n\t\t\twhile(token == Lexer.Token.TIMES\r\n\t\t\t\t||token == Lexer.Token.DIVIDE)\r\n\t\t\t{\r\n\t\t\t\tNode rhs = negaposi(); \r\n\t\t\t\tif(rhs!=null)\r\n\t\t\t\t{\r\n\t\t\t\t\tif(token == Lexer.Token.TIMES)\r\n\t\t\t\t\t{\r\n\t\t\t\t\t\tlhs = new Mul(lhs,rhs);\r\n\t\t\t\t\t}\r\n\t\t\t\t\tif(token == Lexer.Token.DIVIDE)\r\n\t\t\t\t\t{\r\n\t\t\t\t\t\tlhs = new Div(lhs,rhs);\r\n\t\t\t\t\t}\r\n\t\t\t\t\tindex = lexer.getPosition();\r\n\t\t\t\t\ttoken = lexer.getToken();\r\n\t\t\t\t}\r\n\t\t\t\telse break;\r\n\t\t\t}\r\n\t\t\tlexer.setPosition(index);\r\n\t\t}\r\n\t\treturn lhs;\r\n\t}","public short mo34e() {\n return 41;\n }","public double getSalario() {\r\n\t\treturn super.getSalario()-10000;\r\n\t}","public int getTick() {\r\n\t\treturn tick;\r\n\t}","public double getOperand1()\r\n\t{\r\n\t\tSystem.out.println(\"enter the operand 1:\");\r\n\t\tdouble op1=sc.nextDouble();\r\n\t\treturn op1;\r\n\t}","public int mo9754s() {\n return mo9785x();\n }","public String getTentSymbol(){ return tentSymbol;}","public long mo9755t() {\n return mo9775y();\n }","public double tongDoanhThu() {\n double doanhThu = 0;\n for (ChuyenXe cx : dsChuyenXe) {\n doanhThu += cx.doanhThu;\n }\n return doanhThu;\n }","public short mo34e() {\n return 15;\n }","public int get_thema() {\n\t\treturn this.thema;\n\t}","public int calcTraderPrice() {\r\n Random r = new Random();\r\n return rtl + r.nextInt(rth - rtl);\r\n }","private static double getSinSquare(Double value){\r\n\t\treturn Math.pow(Math.sin(value/2), 2);\r\n\r\n }","private double square(double x) {\r\n return x * x;\r\n }","public TesisatTur getTesisatTur() {\r\n\t\treturn tesisatTur;\r\n\t}","public double getIndex()\n {\n index = 206.835 - 84.6 * syllables / words\n - 1.015 * words / sentences;\n\n return index;\n }","public int mo23283Y() {\n return ((Integer) this.f13965a.mo23249a(C7196pb.f13884tb)).intValue();\n }","public double visit(Stock stock) {\n\t\treturn stock.getPrice()*((double)stock.getQuantity());\n\t}","public Double getHydrogenSulfide() {\n return hydrogenSulfide;\n }","public short mo34e() {\n return 140;\n }","public double getTip() {\r\n return tipCalculator.getCalculatedTip();\r\n }","public double nextDouble() {\n\tdouble result = (d1 - 1.0) / (POW3_33 - 1.0);\n\tnextIterate();\n\treturn result;\n }","public int getShirt() {\n return shirt_;\n }","public StrColumn getExptl1HShiftTermUnits() {\n return delegate.getColumn(\"exptl_1H_shift_term_units\", DelegatingStrColumn::new);\n }","public double SQ_LEFT(int c) {\n return (c % 10 == 6)\n ? 1.15 : 1;\n \n }","public long mo9755t() {\n return mo9786y();\n }","public String getTrend() {\r\n return fTrend;\r\n }","public double getPreTB() {\n return preTB;\n }","public BigDecimal getPriceStdWTax();"],"string":"[\n \"public double getQuote(int t)\\n {\\n if(t<0 || t>=size)\\n return 0.0;\\n return x[t];\\n }\",\n \"private int getMQuote()\\n {\\n if (mQuote != 0)\\n {\\n return mQuote; // already calculated\\n }\\n\\n// assert this.sign > 0;\\n\\n int d = -magnitude[magnitude.length - 1];\\n\\n// assert (d & 1) != 0;\\n\\n return mQuote = modInverse32(d);\\n }\",\n \"double getSquareNumber();\",\n \"public double getTick() { // 3\\n\\t\\treturn tic;\\n\\t}\",\n \"private static double sq (double x) {\\n return Math.pow(x, 2);\\n }\",\n \"public double getS() { return s; }\",\n \"public int getQuarter () {\\n return NQuarter;\\n }\",\n \"public final double getS()\\r\\n\\t{\\r\\n\\t\\treturn s;\\r\\n\\t}\",\n \"public Number getTramo() {\\n return (Number) getAttributeInternal(TRAMO);\\n }\",\n \"public double getT() {\\r\\n\\t\\treturn t;\\t\\r\\n\\t\\t}\",\n \"public double getSkew() {\\n if (isReal) {\\n return get(\\\"ts\\\");\\n } else {\\n return simTs.getDouble(0.0);\\n }\\n }\",\n \"private static int getSquarePosition(int index) {\\n return (((index/3)%3)+1)+3*(((index/9)/3)+1);\\n }\",\n \"public int getIthSroce(int ith) {\\n if (ith <= 0 || ith > round) throw new IllegalArgumentException();\\n return score[ith - 1];\\n }\",\n \"public int getUnitPow(int index) {\\n return _elements[index].getPow();\\n }\",\n \"public int getTON() {\\r\\n return ton;\\r\\n }\",\n \"public int getS() {\\n\\t\\treturn (Math.max(getSquare(tractor).getSand()-getK(),0));\\n\\t}\",\n \"public int getSingles() {\\n return h-(d+t+hr);\\n }\",\n \"public double get(CANTalon talon) {\\n\\t\\treturn talon.get();\\n\\t}\",\n \"public double getSpreadTc() {\\r\\n return spreadTc;\\r\\n }\",\n \"private static int calculateThoriumSulfideQuantity(String string) {\\n int result = 2;\\n int[] numArr = Arrays.stream(string.split(\\\" \\\"))\\n .mapToInt(Integer::parseInt).toArray();\\n\\n for (int n : numArr) {\\n result *= n;\\n }\\n return result;\\n }\",\n \"public int q(int t) {\\n return map.get(map.floorKey(t));\\n }\",\n \"public String getQuote(){\\n\\t\\tString quote = null;\\n\\t\\ttry {\\n\\t\\t\\tcrs = qb.selectFrom(\\\"qotd\\\").all().executeQuery();\\n\\n\\t\\t\\tif(crs.next()) {\\n\\t\\t\\t\\tquote = crs.getString(\\\"qotd\\\");\\n\\t\\t\\t}\\n\\t\\t} catch (SQLException e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t} finally {\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tcrs.close();\\n\\t\\t\\t} catch (SQLException e) {\\n\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn quote;\\n\\t}\",\n \"public BigDecimal getTrxAmt();\",\n \"protected int t(int n) {\\r\\n\\t\\treturn Math.floorDiv(n * (n - 1), 2);\\r\\n\\t}\",\n \"public T getSecond() {\\n\\t\\t\\treturn t;\\n\\t\\t}\",\n \"public java.lang.Integer getThn() {\\n return thn;\\n }\",\n \"public double topInt(double tenths) {\\n double rounded = Math.floor(tenths)+1.0;\\n\\n return rounded;\\n}\",\n \"public double GetTonnage() {\\n if( LotSize != CurLotSize ) {\\n double TonsPerShot = Tonnage / (double) LotSize;\\n return CommonTools.RoundFractionalTons( TonsPerShot * (double) CurLotSize );\\n }\\n return Tonnage;\\n }\",\n \"private static final int getPower(Parsing t) {\\n\\t\\tchar s='+';\\t\\t// Exponent Sign\\n\\t\\tint pow=0;\\t\\t// Exponent Value\\n\\t\\tint inum=0;\\t\\t// Index of exponent\\n\\t\\tint posini=t.pos;\\n\\t\\t//System.out.print(\\\"....getPower on '\\\" + this + \\\"', pos=\\\" + pos + \\\": \\\");\\n\\t\\tt.pos = t.length-1;\\n\\t\\tif (Character.isDigit(t.a[t.pos])) {\\n\\t\\t\\twhile (Character.isDigit(t.a[t.pos])) --t.pos;\\n\\t\\t\\ts = t.a[t.pos];\\n\\t\\t\\tif ((s == '+') || (s == '-')) ;\\t// Exponent starts here\\n\\t\\t\\telse ++t.pos;\\n\\t\\t\\tinum = t.pos;\\n\\t\\t\\tpow = t.parseInt();\\n\\t\\t\\t//System.out.print(\\\"found pow=\\\" + pow + \\\",pos=\\\" + pos);\\n\\t\\t}\\n\\t\\tif (pow != 0) {\\t\\t// Verify the power is meaningful\\n\\t\\t\\tif (t.a[0] == '(') {\\n\\t\\t\\t\\tif (t.a[inum-1] != ')') pow = 0;\\n\\t\\t\\t}\\n\\t\\t\\telse {\\t\\t// could be e.g. m2\\n\\t\\t\\t\\tfor (int i=0; i<inum; i++) {\\n\\t\\t\\t\\t\\t// Verify the unit is not a complex one\\n\\t\\t\\t\\t\\tif (!Character.isLetter(t.a[i])) pow = 0;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tif (pow == 0) t.pos = posini;\\n\\t\\telse t.pos = inum;\\n\\t\\t//System.out.println(\\\" pow=\\\" + pow + \\\", pos=\\\" + pos);\\n\\t\\treturn(pow);\\n\\t}\",\n \"public Square getTractor() {\\n\\t\\treturn tractor;\\n\\t}\",\n \"public java.lang.Integer getThn() {\\n return thn;\\n }\",\n \"double tirer();\",\n \"public double dollarTorp()\\r\\n\\t{\\r\\n\\t\\treturn getAmount() * 14251.25;\\r\\n\\t}\",\n \"public Integer getQuarter() {\\r\\n return QTR;\\r\\n }\",\n \"public static BigInteger getNth(long n)\\n {\\n if (n == 0 || n == 1) { return BigInteger.valueOf(n); }\\n else { return power(atom, n - 1)[0][0]; } \\n }\",\n \"public static double sq(double x) {\\n return x * x;\\n }\",\n \"TickerPrice getPrice(String symbol);\",\n \"public int getQntd() {\\r\\n\\t\\treturn this.qntd;\\r\\n\\t}\",\n \"public double getSecond() {\\n return second;\\n }\",\n \"public double getFirst()\\n {\\n return first;\\n }\",\n \"private static String getPrice(WebElement s) {\\n\\n\\t\\treturn s.findElement(By.xpath(\\\"following-sibling::td[1]\\\")).getText();\\n\\n\\t}\",\n \"public double getFirst() {\\n return first;\\n }\",\n \"public float getTcintmprice()\\r\\n {\\r\\n return _tcintmprice;\\r\\n }\",\n \"@Field(26) \\n\\tpublic double TradePrice() {\\n\\t\\treturn this.io.getDoubleField(this, 26);\\n\\t}\",\n \"long getSymbol();\",\n \"public double getChiSquare() {\\r\\n\\t\\treturn chisq;\\r\\n\\t}\",\n \"String getQuoteOfTheDay();\",\n \"public int tget() {\\n return denom_hi * 256 + denom_lo;\\n }\",\n \"private double term(boolean get){\\n\\t\\t// compute the left argument which has to be a primary value or an expression with a higher priority than products\\n\\t\\tdouble left = pot(get);\\n\\t\\tfor(;;){\\n\\t\\t\\tswitch(curr_tok){\\n\\t\\t\\t\\tcase MUL:{\\n\\t\\t\\t\\t\\tleft*=pot(true);\\n\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tcase DIV:{\\n\\t\\t\\t\\t\\tdouble d;\\n\\t\\t\\t\\t\\tif((d=pot(true)) != 0){\\n\\t\\t\\t\\t\\t\\tleft/=d;\\n\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t//System.err.println(\\\"Error::TermParser::term(): Invalid operation. Division by 0.\\\");\\n\\t\\t\\t\\t\\treturn Double.NaN;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tdefault:{\\n\\t\\t\\t\\t\\treturn left;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public double getThigh() {\\n return thigh;\\n }\",\n \"public BigDecimal getTRX_NO() {\\r\\n return TRX_NO;\\r\\n }\",\n \"public int getSquareNumber() {\\n\\t\\treturn squareNumber;\\n\\t}\",\n \"public int getQuarters()\\n {\\n\\treturn quarters;\\n }\",\n \"private BigInteger squareKaratsuba() {\\n int half = (mag.length+1) / 2;\\n\\n BigInteger xl = getLower(half);\\n BigInteger xh = getUpper(half);\\n\\n BigInteger xhs = xh.square(); // xhs = xh^2\\n BigInteger xls = xl.square(); // xls = xl^2\\n\\n // xh^2 << 64 + (((xl+xh)^2 - (xh^2 + xl^2)) << 32) + xl^2\\n return xhs.shiftLeft(half*32).add(xl.add(xh).square().subtract(xhs.add(xls))).shiftLeft(half*32).add(xls);\\n }\",\n \"public double getChiSquare() {\\n\\treturn chiSq;\\n }\",\n \"public double getSecond()\\n {\\n return second;\\n }\",\n \"public double sqRoot(double num) {\\n double base = 0;\\n while (base < num) {\\n base++;\\n if ((base * base) == num) {\\n return base;\\n }\\n }\\n\\n double termInSequence = ((base * base) + num) / (2 * base);\\n for (int i = 0; i < 10; i++) {\\n termInSequence = ((termInSequence * termInSequence) + num) / (2 * termInSequence);\\n }\\n return Double.parseDouble(String.format(\\\"%.9f\\\", termInSequence));\\n }\",\n \"public double getSquareLength() {\\n return r * r + i * i;\\n }\",\n \"public double getTiempoDijkstraSencillo()\\n {\\n return tiempoDijkstraSencillo;\\n }\",\n \"int getFirstTick();\",\n \"public String getTaunt() {\\n\\t\\tRandom rand = new Random();\\n\\t\\tint n = rand.nextInt(3); // creates a random int\\n\\t\\treturn taunts.get(n); // returns the taunt at that index\\n\\t}\",\n \"public double nextDoubleOpen() {\\n\\tdouble result = d1 / POW3_33;\\n\\tnextIterate();\\n\\treturn result;\\n }\",\n \"public float squared(){\\r\\n\\t\\treturn this.dottedWith( this );\\r\\n\\t}\",\n \"private double hypTan(double x){\\n\\t\\t//System.out.print(\\\".\\\");\\n\\t\\treturn (Math.tanh(k*x)*0.5) + 0.5;\\t\\n\\t}\",\n \"public int getSymbology() {\\r\\n return Symbology;\\r\\n }\",\n \"public Number getQtyMulPrice() {\\n return (Number)getAttributeInternal(QTYMULPRICE);\\n }\",\n \"public static double termSlotwaarde(final int n, final int t, final double i)\\n\\t{\\n\\t\\tdouble n1 = Math.floor(n * t);\\n\\t\\tdouble r = 1d + termPercentage(t, t) / HON_PERCENT;\\n\\t\\treturn Math.pow(r, n1);\\n\\t}\",\n \"public double getCost() {\\n return this.product.getPrice() * quanity;\\n }\",\n \"public double t1() {\\n\\t\\treturn segments.size() - 1;\\n\\t}\",\n \"public long mo9755t() {\\n return mo9762y();\\n }\",\n \"public double tempoMedio(String t){\\n\\t\\tt = t.toUpperCase();\\n\\t\\tif(t == \\\"B\\\"){\\n\\t\\t\\treturn this.tempMB;\\n\\t\\t}else if(t == \\\"S\\\"){\\n\\t\\t\\treturn this.tempMS;\\n\\t\\t}else if(t == \\\"I\\\"){\\n\\t\\t\\treturn this.tempMI;\\n\\t\\t}\\n\\t\\n\\t\\treturn 0;\\n\\t}\",\n \"public Node term()\\r\\n\\t{\\r\\n\\t\\tNode lhs = negaposi();\\r\\n\\t\\tif(lhs!=null)\\r\\n\\t\\t{\\r\\n\\t\\t\\tint index = lexer.getPosition();\\r\\n\\t\\t\\tLexer.Token token = lexer.getToken();\\r\\n\\t\\t\\twhile(token == Lexer.Token.TIMES\\r\\n\\t\\t\\t\\t||token == Lexer.Token.DIVIDE)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tNode rhs = negaposi(); \\r\\n\\t\\t\\t\\tif(rhs!=null)\\r\\n\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\tif(token == Lexer.Token.TIMES)\\r\\n\\t\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\t\\tlhs = new Mul(lhs,rhs);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\tif(token == Lexer.Token.DIVIDE)\\r\\n\\t\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\t\\tlhs = new Div(lhs,rhs);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\tindex = lexer.getPosition();\\r\\n\\t\\t\\t\\t\\ttoken = lexer.getToken();\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\telse break;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tlexer.setPosition(index);\\r\\n\\t\\t}\\r\\n\\t\\treturn lhs;\\r\\n\\t}\",\n \"public short mo34e() {\\n return 41;\\n }\",\n \"public double getSalario() {\\r\\n\\t\\treturn super.getSalario()-10000;\\r\\n\\t}\",\n \"public int getTick() {\\r\\n\\t\\treturn tick;\\r\\n\\t}\",\n \"public double getOperand1()\\r\\n\\t{\\r\\n\\t\\tSystem.out.println(\\\"enter the operand 1:\\\");\\r\\n\\t\\tdouble op1=sc.nextDouble();\\r\\n\\t\\treturn op1;\\r\\n\\t}\",\n \"public int mo9754s() {\\n return mo9785x();\\n }\",\n \"public String getTentSymbol(){ return tentSymbol;}\",\n \"public long mo9755t() {\\n return mo9775y();\\n }\",\n \"public double tongDoanhThu() {\\n double doanhThu = 0;\\n for (ChuyenXe cx : dsChuyenXe) {\\n doanhThu += cx.doanhThu;\\n }\\n return doanhThu;\\n }\",\n \"public short mo34e() {\\n return 15;\\n }\",\n \"public int get_thema() {\\n\\t\\treturn this.thema;\\n\\t}\",\n \"public int calcTraderPrice() {\\r\\n Random r = new Random();\\r\\n return rtl + r.nextInt(rth - rtl);\\r\\n }\",\n \"private static double getSinSquare(Double value){\\r\\n\\t\\treturn Math.pow(Math.sin(value/2), 2);\\r\\n\\r\\n }\",\n \"private double square(double x) {\\r\\n return x * x;\\r\\n }\",\n \"public TesisatTur getTesisatTur() {\\r\\n\\t\\treturn tesisatTur;\\r\\n\\t}\",\n \"public double getIndex()\\n {\\n index = 206.835 - 84.6 * syllables / words\\n - 1.015 * words / sentences;\\n\\n return index;\\n }\",\n \"public int mo23283Y() {\\n return ((Integer) this.f13965a.mo23249a(C7196pb.f13884tb)).intValue();\\n }\",\n \"public double visit(Stock stock) {\\n\\t\\treturn stock.getPrice()*((double)stock.getQuantity());\\n\\t}\",\n \"public Double getHydrogenSulfide() {\\n return hydrogenSulfide;\\n }\",\n \"public short mo34e() {\\n return 140;\\n }\",\n \"public double getTip() {\\r\\n return tipCalculator.getCalculatedTip();\\r\\n }\",\n \"public double nextDouble() {\\n\\tdouble result = (d1 - 1.0) / (POW3_33 - 1.0);\\n\\tnextIterate();\\n\\treturn result;\\n }\",\n \"public int getShirt() {\\n return shirt_;\\n }\",\n \"public StrColumn getExptl1HShiftTermUnits() {\\n return delegate.getColumn(\\\"exptl_1H_shift_term_units\\\", DelegatingStrColumn::new);\\n }\",\n \"public double SQ_LEFT(int c) {\\n return (c % 10 == 6)\\n ? 1.15 : 1;\\n \\n }\",\n \"public long mo9755t() {\\n return mo9786y();\\n }\",\n \"public String getTrend() {\\r\\n return fTrend;\\r\\n }\",\n \"public double getPreTB() {\\n return preTB;\\n }\",\n \"public BigDecimal getPriceStdWTax();\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.71790266","0.5745889","0.57217056","0.5646441","0.5483308","0.5470933","0.5394773","0.53751916","0.53218865","0.5267231","0.52542824","0.5228414","0.5223884","0.52205426","0.52074474","0.51898354","0.51624525","0.5157856","0.5126182","0.5106508","0.5065651","0.50567055","0.5035012","0.5028609","0.5010801","0.49793848","0.49744037","0.4973418","0.496927","0.49680105","0.496771","0.49671236","0.49591613","0.49517635","0.4941444","0.49241775","0.4914983","0.4914236","0.49087378","0.48988608","0.48896605","0.487788","0.4874709","0.48600718","0.48474914","0.4846618","0.4846253","0.48433217","0.48389426","0.4838782","0.48349184","0.48329046","0.48259076","0.48255667","0.48220322","0.48192692","0.48171848","0.4803949","0.48017555","0.48012182","0.479705","0.47909474","0.47813344","0.4777647","0.47769108","0.47745928","0.47671768","0.47649452","0.4750261","0.47445822","0.4744139","0.4743292","0.47410646","0.47293365","0.4722287","0.47173837","0.47077912","0.47074226","0.47043693","0.46995786","0.46979406","0.4692962","0.46905595","0.46889108","0.46854988","0.4683517","0.46812","0.46803683","0.4678822","0.4675112","0.46746066","0.46724826","0.46657813","0.4663214","0.46601275","0.46581644","0.46527","0.46511382","0.4645131","0.46448678"],"string":"[\n \"0.71790266\",\n \"0.5745889\",\n \"0.57217056\",\n \"0.5646441\",\n \"0.5483308\",\n \"0.5470933\",\n \"0.5394773\",\n \"0.53751916\",\n \"0.53218865\",\n \"0.5267231\",\n \"0.52542824\",\n \"0.5228414\",\n \"0.5223884\",\n \"0.52205426\",\n \"0.52074474\",\n \"0.51898354\",\n \"0.51624525\",\n \"0.5157856\",\n \"0.5126182\",\n \"0.5106508\",\n \"0.5065651\",\n \"0.50567055\",\n \"0.5035012\",\n \"0.5028609\",\n \"0.5010801\",\n \"0.49793848\",\n \"0.49744037\",\n \"0.4973418\",\n \"0.496927\",\n \"0.49680105\",\n \"0.496771\",\n \"0.49671236\",\n \"0.49591613\",\n \"0.49517635\",\n \"0.4941444\",\n \"0.49241775\",\n \"0.4914983\",\n \"0.4914236\",\n \"0.49087378\",\n \"0.48988608\",\n \"0.48896605\",\n \"0.487788\",\n \"0.4874709\",\n \"0.48600718\",\n \"0.48474914\",\n \"0.4846618\",\n \"0.4846253\",\n \"0.48433217\",\n \"0.48389426\",\n \"0.4838782\",\n \"0.48349184\",\n \"0.48329046\",\n \"0.48259076\",\n \"0.48255667\",\n \"0.48220322\",\n \"0.48192692\",\n \"0.48171848\",\n \"0.4803949\",\n \"0.48017555\",\n \"0.48012182\",\n \"0.479705\",\n \"0.47909474\",\n \"0.47813344\",\n \"0.4777647\",\n \"0.47769108\",\n \"0.47745928\",\n \"0.47671768\",\n \"0.47649452\",\n \"0.4750261\",\n \"0.47445822\",\n \"0.4744139\",\n \"0.4743292\",\n \"0.47410646\",\n \"0.47293365\",\n \"0.4722287\",\n \"0.47173837\",\n \"0.47077912\",\n \"0.47074226\",\n \"0.47043693\",\n \"0.46995786\",\n \"0.46979406\",\n \"0.4692962\",\n \"0.46905595\",\n \"0.46889108\",\n \"0.46854988\",\n \"0.4683517\",\n \"0.46812\",\n \"0.46803683\",\n \"0.4678822\",\n \"0.4675112\",\n \"0.46746066\",\n \"0.46724826\",\n \"0.46657813\",\n \"0.4663214\",\n \"0.46601275\",\n \"0.46581644\",\n \"0.46527\",\n \"0.46511382\",\n \"0.4645131\",\n \"0.46448678\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7119622"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":19784,"cells":{"query":{"kind":"string","value":"Returns the logreturn calculated on the tth environement of the series. The logreturn of environement x(t) of series X is defined as log(x(t)/x(t 1). For this reason, the first environement for which logreturn can be calculated is the one with index 1. Requesting a logreturn for an outofrange index does not cause an exception to be thrown, but the result is zero."},"document":{"kind":"string","value":"public double getLogReturn(int t)\n {\n if(t<1 || t>=size)\n return 0.0;\n return r[t - 1];\n }"},"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":["public double logZero(double x);","long getLastLogIndex();","long getFirstLogIndex();","public Series logarithmic()\n {\n Series logarithmic = new Series();\n logarithmic.x = new double[logarithmic.size = size];\n logarithmic.r = r;\n for(int t = 0; t<size; t++)\n logarithmic.x[t] = Math.log(x[t]);\n return logarithmic;\n }","public static double [] logarithm (double [][]x){\n\t\tdouble [] log=new double [x.length-1];\n\t\t\n\t\tfor(int i=0; i<x.length-1;i++){\n\t\t\tdouble[] xk1=x[i+1];\n\t\t\tdouble[] xk=x[i];\n\t\t\tlog[i]=Math.log10(Math.max( Math.abs(xk1[0] - xk[0]), Math.abs(xk1[1] - xk[1]) ));\n\t\t\t\n\t\t}\n\t\t\n\t\treturn log;\n\t}","@Override\n public double evaluate() throws Exception {\n return Math.log(getEx2().evaluate()) / Math.log(getEx2().evaluate());\n }","public static double log(double x)\n\t{\n\t if (x < 1.0)\n\t return -log(1.0/x);\n\t \n\t double m=0.0;\n\t double p=1.0;\n\t while (p <= x) {\n\t m++;\n\t p=p*2;\n\t }\n\t \n\t m = m - 1;\n\t double z = x/(p/2);\n\t \n\t double zeta = (1.0 - z)/(1.0 + z);\n\t double n=zeta;\n\t double ln=zeta;\n\t double zetasup = zeta * zeta;\n\t \n\t for (int j=1; true; j++)\n\t {\n\t n = n * zetasup;\n\t double newln = ln + n / (2 * j + 1);\n\t double term = ln/newln;\n\t if (term >= LOWER_BOUND && term <= UPPER_BOUND)\n\t return m * ln2 - 2 * ln;\n\t ln = newln;\n\t }\n\t}","static private float _log(float x) {\n \t\tif (!(x > 0f)) {\n \t\t\treturn Float.NaN;\n \t\t}\n \t\t//\n \t\tfloat f = 0f;\n \t\t//\n \t\tint appendix = 0;\n \t\twhile ((x > 0f) && (x <= 1f)) {\n \t\t\tx *= 2f;\n \t\t\tappendix++;\n \t\t}\n \t\t//\n \t\tx /= 2f;\n \t\tappendix--;\n \t\t//\n \t\tfloat y1 = x - 1f;\n \t\tfloat y2 = x + 1f;\n \t\tfloat y = y1 / y2;\n \t\t//\n \t\tfloat k = y;\n \t\ty2 = k * y;\n \t\t//\n \t\tfor (long i = 1; i < 10; i += 2) {\n \t\t\tf += k / i;\n \t\t\tk *= y2;\n \t\t}\n \t\t//\n \t\tf *= 2f;\n \t\tfor (int i = 0; i < appendix; i++) {\n \t\t\tf += FLOAT_LOGFDIV2;\n \t\t}\n \t\t//\n //\t\tlogger.info(\"exit _log\" + f);\n \t\treturn f;\n \t}","public float nextLog ()\n {\n // Generate a non-zero uniformly-distributed random value.\n float u;\n while ((u = GENERATOR.nextFloat ()) == 0)\n {\n // try again if 0\n }\n\n return (float) (-m_fMean * Math.log (u));\n }","public synchronized int lastEntryTerm() {\n if (this.lastEntryIndex() > 0) {\n return this.logs.get(lastIndex).getTerm();\n } else return -1;\n }","@Override\r\n\tpublic double evaluate(double input1) throws ArithmeticException \r\n\t{\n\t\treturn Math.log(input1);\r\n\t}","@Override\r\n\tpublic double t(double x) {\r\n\t\treturn Math.log( (x - this.getLower_bound() ) / (this.getUpper_bound() - x) );\r\n\t}","private static int getlog(int operand, int base) {\n double answ = Math.log(operand)/Math.log(base);\n if (answ == Math.ceil(answ)) {\n return (int)answ;\n }\n else {\n return (int)answ+1;\n }\n }","private double logSumExp(double x[]) {\n double maxx = Double.NEGATIVE_INFINITY;\n for (double d : x) {\n if (d > maxx) { maxx = d; }\n }\n double sum = 0.0;\n for (double d : x) {\n sum += Math.exp(d-maxx);\n }\n return maxx + Math.log(sum);\n }","public double logResult(double f) {\n double r;\n try {\n r = 20 * Math.log10(result(f));\n } catch (Exception e) {\n r = -100;\n }\n if (Double.isInfinite(r) || Double.isNaN(r)) {\n r = -100;\n }\n return r;\n }","static private float exact_log(float x) {\n \t\tif (!(x > 0f)) {\n \t\t\treturn Float.NaN;\n \t\t}\n \t\t//\n \t\tfloat f = 0f;\n \t\t//\n \t\tint appendix = 0;\n \t\twhile ((x > 0f) && (x <= 1f)) {\n \t\t\tx *= 2f;\n \t\t\tappendix++;\n \t\t}\n \t\t//\n \t\tx /= 2f;\n \t\tappendix--;\n \t\t//\n \t\tfloat y1 = x - 1f;\n \t\tfloat y2 = x + 1f;\n \t\tfloat y = y1 / y2;\n \t\t//\n \t\tfloat k = y;\n \t\ty2 = k * y;\n \t\t//\n \t\tfor (long i = 1; i < 50; i += 2) {\n \t\t\tf += k / i;\n \t\t\tk *= y2;\n \t\t}\n \t\t//\n \t\tf *= 2f;\n \t\tfor (int i = 0; i < appendix; i++) {\n \t\t\tf += FLOAT_LOGFDIV2;\n \t\t}\n \t\t//\n //\t\tlogger.info(\"exit _log\" + f);\n \t\treturn f;\n \t}","public static final float log(float x) {\n \t\tif (!(x > 0f)) {\n \t\t\treturn Float.NaN;\n \t\t}\n \t\t//\n \t\tif (x == 1f) {\n \t\t\treturn 0f;\n \t\t}\n \t\t// Argument of _log must be (0; 1]\n \t\tif (x > 1f) {\n \t\t\tx = 1 / x;\n \t\t\treturn -_log(x);\n \t\t}\n \t\t;\n \t\t//\n \t\treturn _log(x);\n \t}","public static double logarit(double value, double base) {\n\t\tif (base == Math.E)\n\t\t\treturn Math.log(value);\n\t\telse if (base == 10)\n\t\t\treturn Math.log10(value);\n\t\telse\n\t\t\treturn Double.NaN;\n\t\t\t\n\t}","@Override\n public double calculateLogP() {\n\n double fastLogP = logLhoodAllGeneTreesInSMCTree(getInverseGammaMixture(),\n popPriorScaleInput.get().getValue(), false);\n\n if (debugFlag && numberofdebugchecks < maxnumberofdebugchecks) {\n double robustLogP = logLhoodAllGeneTreesInSMCTree(getInverseGammaMixture(),\n popPriorScaleInput.get().getValue(), true);\n if (Math.abs(fastLogP - robustLogP) > 1e-12) {\n System.err.println(\"BUG in calculateLogP() in PIOMSCoalescentDistribution\");\n throw new RuntimeException(\"Fatal STACEY error.\");\n\n }\n numberofdebugchecks++;\n }\n logP = fastLogP;\n return logP;\n }","public static float log(float base, float arg) {\n return (nlog(arg)) / nlog(base);\n }","@Test\n public void whenInvokeThenReturnsLogarithmValues() {\n Funcs funcs = new Funcs();\n\n List<Double> expected = Arrays.asList(0D, 0.301D, 0.477D);\n List<Double> result = funcs.range(1, 3,\n (pStart) -> {\n double resultValue = Math.log10(pStart);\n resultValue = Math.rint(resultValue * 1000) / 1000;\n return resultValue;\n });\n\n assertThat(result, is(expected));\n }","public static String getLogEntry(int index){\n if(index < 0 || index >= log.size()){\n return \"\";\n }\n return log.get(index);\n }","@SuppressWarnings(\"deprecation\")\n\t@Override\n public double calculateLogP() {\n logP = 0.0;\n // jeffreys Prior!\n if (jeffreys) {\n logP += -Math.log(getChainValue(0));\n }\n for (int i = 1; i < chainParameter.getDimension(); i++) {\n final double mean = getChainValue(i - 1);\n final double x = getChainValue(i);\n\n if (useLogNormal) {\n\t final double sigma = 1.0 / shape; // shape = precision\n\t // convert mean to log space\n\t final double M = Math.log(mean) - (0.5 * sigma * sigma);\n\t logNormal.setMeanAndStdDev(M, sigma);\n\t logP += logNormal.logDensity(x);\n } else {\n final double scale = mean / shape;\n gamma.setBeta(scale);\n logP += gamma.logDensity(x);\n }\n }\n return logP;\n }","public static double sumInLogDomain(double[] logs) {\n\t\tdouble maxLog = logs[0];\n\t\tint idxMax = 0;\n\t\tfor (int i = 1; i < logs.length; i++) {\n\t\t\tif (maxLog < logs[i]) {\n\t\t\t\tmaxLog = logs[i];\n\t\t\t\tidxMax = i;\n\t\t\t}\n\t\t}\n\t\t// now calculate sum of exponent of differences\n\t\tdouble sum = 0;\n\t\tfor (int i = 0; i < logs.length; i++) {\n\t\t\tif (i == idxMax) {\n\t\t\t\tsum++;\n\t\t\t} else {\n\t\t\t\tsum += Math.exp(logs[i] - maxLog);\n\t\t\t}\n\t\t}\n\t\t// and return log of sum\n\t\treturn maxLog + Math.log(sum);\n\t}","public int divide(int x , int y ) {\n\t\tif( y == 0 )\n\t\t\tthrow new ArithmeticException(\"Divide by zero\");\n\t\tif( x == 0 )\n\t\t\treturn 0;\n\n\t\treturn exp[ log[x] + max_value - log[y] ];\n\t}","public static double CalcLevel_Log(double SlopeStart, double SlopeStop,double FreqPoint)\r\n {\n double levelLog = 0.0;\r\n double tempY = 0.0;\r\n\r\n tempY = SlopeStart * (Math.log10(FreqPoint)) + SlopeStop;\r\n levelLog = (Math.pow(10, tempY));\r\n\r\n return levelLog;\r\n }","public static double logBase2(double x){\n return Math.log(x)/Math.log(2);\n }","private static double log2(double x) {\n return Math.log(x) / Math.log(2);\n }","public double getEstimate()\n {\n assert list.length > 0: \"The list cannot be empty\";\n int R = list[0];\n \n //count how many are smaller or equal to R\n double counter = 0;\n for (int i = 1; i < k; i++) {\n if (list[i]<R)\n counter++;\n }\n return -Math.pow(2, R - 1) * Math.log(counter / (k-1)); }","public double valueAt(double x) {\r\n \treturn ((f.valueAt(x+epsilon)/2- f.valueAt(x-epsilon)/2)/epsilon);\r\n }","private static double lg(double x) {\n return Math.log(x) / Math.log(2.0);\n }","public double[] LogSlope(double StartFreq, double StopFreq, double StartLevel, double StopLevel)\r\n {\n \r\n\tdouble levelM1 = 0.0;\r\n double levelB1 = 0.0;\r\n double levelFlag = 0.0;\r\n double[] logSLopeCalcValues = new double[7];\r\n\r\n //calculate M1 value\r\n // M1 = (Y2 - Y1) / (X2- X1)\r\n levelM1 = (Math.log10(StopLevel) - Math.log10(StartLevel)) / (Math.log10(StopFreq) - Math.log10(StartFreq));\r\n\r\n //calculate B1 value\r\n // B1 = Y2 -(M1 * X2)\r\n levelB1 = Math.log10(StopLevel) - (levelM1 * Math.log10(StopFreq));\r\n\r\n // put the values in the array to return it\r\n logSLopeCalcValues[0] = levelM1;\r\n logSLopeCalcValues[1] = levelB1;\r\n logSLopeCalcValues[2] = StartFreq;\r\n logSLopeCalcValues[3] = StopFreq;\r\n logSLopeCalcValues[4] = StartLevel;\r\n logSLopeCalcValues[5] = StopLevel;\r\n logSLopeCalcValues[6] = levelFlag;\r\n //return the array with the M1 and B1 values\r\n return logSLopeCalcValues;\r\n }","public static double log(double a){ \n // migrated from jWMMG - the origin of the algorithm is not known.\n if (Double.isNaN(a) || a < 0) {\n return Double.NaN;\n } else if (a == Double.POSITIVE_INFINITY) {\n return Double.POSITIVE_INFINITY;\n } else if (a == 0) {\n return Double.NEGATIVE_INFINITY;\n }\n \n long lx;\n if (a > 1) {\n lx = (long)(0.75*a); // 3/4*x\n } else {\n lx = (long)(0.6666666666666666666666666666666/a); // 2/3/x\n }\n \n int ix;\n int power;\n if (lx > Integer.MAX_VALUE) {\n ix = (int) (lx >> 31);\n power = 31;\n } else {\n ix = (int) lx;\n power = 0;\n }\n \n while (ix != 0) {\n ix >>= 1;\n power++;\n }\n \n double ret;\n if (a > 1) {\n ret = lnInternal(a / ((long) 1<<power)) + power * LN_2;\n } else {\n ret = lnInternal(a * ((long) 1<<power)) - power * LN_2;\n }\n return ret;\n }","public int inverse(int x ) {\n\t\treturn exp[max_value - log[x]];\n\t}","public static double[] logarit(double[] data, double base) {\n\t\tdouble[] result = new double[data.length];\n\t\tfor (int i = 0; i < data.length; i++) {\n\t\t\tif (base == Math.E)\n\t\t\t\tresult[i] = Math.log(data[i]);\n\t\t\telse if (base == 10)\n\t\t\t\tresult[i] = Math.log10(data[i]);\n\t\t}\n\t\t\n\t\treturn result;\n\t}","public double get(int index) {\n\t\treturn 0;\n\t}","public final void log() throws ArithmeticException {\n\t\tif ((mksa&_LOG) != 0) throw new ArithmeticException\n\t\t(\"****Unit: log(\" + symbol + \")\") ;\n\t\tvalue = AstroMath.log(value);\n\t\tmksa |= _log;\n\t\tif (symbol != null) \n\t\t\tsymbol = \"[\" + symbol + \"]\";\t// Enough to indicate log\n\t}","@Override\n public Number getEndX(int series, int item) {\n assert 0 <= series && series < checkpoint.gcTraceSize();\n assert 0 <= item && item < checkpoint.size(series);\n\n return getEndXValue(series, item);\n }","static int linearLogTime(int[] n, int[] m) {\n if(n == null || n.length == 0 || m == null || m.length == 0) return -1;\n int sum = 0;\n for(int i = 0; i < n.length; ++i) {\n sum += logTime(m, 0, m.length, 15);\n }\n return sum;\n }","private void naturalLog()\n\t{\n\t\tif(Fun == null)\n\t\t{\n\t\t\tsetLeftValue();\n\t\t\tresult = calc.naturalLog ( );\n\t\t\tupdateText();\n\t\t}\n\t}","public double getTimestamp() {\n switch (randomType) {\n case EXPONENT:\n return forArrive ? (-1d / LAMBDA) * Math.log(Math.random()) : (-1d / NU) * Math.log(Math.random());\n\n default:\n return 0;\n }\n }","public static float nlog(float x) {\n if (x == 1) return 0;\n\n float agm = 1f;\n float g1 = 1 / (x * (1 << (DEFAULT_ACCURACY - 2)));\n float arithmetic;\n float geometric;\n\n for (int i = 0; i < 5; i++) {\n arithmetic = (agm + g1) / 2f;\n geometric = BAKSH_sqrt(agm * g1);\n agm = arithmetic;\n g1 = geometric;\n }\n\n return (PI / 2f) * (1 / agm) - DEFAULT_ACCURACY * LN2;\n }","@Override\n public double evaluate(Map<String, Double> assignment) throws Exception {\n\n double res = Math.log(getEx2().evaluate(assignment)) / Math.log(getEx2().evaluate(assignment));\n return res;\n }","public static int lastIndex(int input[], int x) {\n return lastIndex(input, x, 0, -1);\n\t}","public T elementLog() {\n T c = createLike();\n ops.elementLog(mat, c.mat);\n return c;\n }","@Override\n public double getXValue(int series, int item) {\n assert 0 <= series && series < checkpoint.gcTraceSize();\n assert 0 <= item && item < checkpoint.size(series);\n\n\n double startSec = getStartXValue(series, item);\n double endSec = getEndXValue(series, item);\n double ret = startSec + (endSec - startSec) / 2.0;\n return ret;\n }","private static final int calcLog (int value)\n {\n // Shortcut for uncached_data_length\n if (value <= 1023 )\n {\n return MIN_CACHE;\n }\n else\n {\n return (int)(Math.floor (Math.log (value) / LOG2));\n }\n }","public EventLogEntry getEventLogEntry(int index);","public static double lg(double x) {\n return Math.log(x) / Math.log(2);\n }","public synchronized int getLastTerm() {\n if(lastEntryIndex() <= 0) return 0;\n return getEntry(lastIndex).getTerm();\n }","public double lo() {\n return lo;\n }","private static double lnInternal(double x){\n double a = 1 - x;\n double s = -a;\n double t = a;\n \n for (int i = 2; i < 25; i++){\n t = t*a;\n s -= t/i;\n }\n return s;\n }","private double lnGamma(double x) \n\t{\n\t\tdouble f = 0.0, z;\n\t\tif (x < 7) \n\t\t{\n\t\t\tf = 1;\n\t\t\tz = x - 1;\n\t\t\twhile (++z < 7)\n\t\t\t{\n\t\t\t\tf *= z;\n\t\t\t}\n\t\t\tx = z;\n\t\t\tf = -Math.log(f);\n\t\t}\n\t\tz = 1 / (x * x);\n\t\treturn\tf + (x - 0.5) * Math.log(x) - x + 0.918938533204673 +\n\t\t\t\t( ( ( -0.000595238095238 * z + 0.000793650793651 ) * z \n\t\t\t\t\t -0.002777777777778) * z + 0.083333333333333 ) / x;\n\t}","private double f(double x) {\n return (1 / (1 + Math.exp(-x)));\n }","public double getValue( double x )\n {\n if ( domain.contains( (float)x ) )\n {\n double sum = 0.0; \n for ( int i = parameters.length - 1; i >= 0; i-- )\n sum = x * sum + parameters[i];\n return sum; \n }\n else\n return 0; \n }","public int getLevel(int index)\n\t{\n\t\tdouble value = (Math.log10(index/1.0)/Math.log10(2.0));\n\t\tint level = (int)Math.floor(value);\n\t\treturn level;\n\t}","public double eval(double[] x) {\n\t\tdouble z = VectorOps.dot(this.weights, x); \t\t// z is still w dot x\n\t\tdouble log = 1.0 / (1.0 + Math.exp(-1 * z) ); \t// 1 / (1 + e^-z)\n\n\t\treturn log;\n\t\t\n\t}","public static double[][] logarit(double[][] data, double base) {\n\t\tdouble[][] result = new double[data.length][];\n\t\t\n\t\tfor (int i = 0; i < data.length; i++) {\n\t\t\tresult[i] = logarit(data[i], base);\n\t\t}\n\t\t\n\t\treturn result;\n\t}","private double entropy(double x) {\r\n\t\tif (x > 0)\r\n\t\t\treturn -(x * (Math.log(x) / Math.log(2.0)));\r\n\t\telse\r\n\t\t\treturn 0.0;\r\n\t}","int getBacklog();","@Test\n public void whenLogarithmicFunctionThenLogarithmicResults() {\n FunctionMethod functionMethod = new FunctionMethod();\n List<Double> result = functionMethod.diapason(16, 18, x -> Math.log(x) / Math.log(2.0));\n List<Double> expected = Arrays.asList(4D, 4.08746284125034D);\n assertThat(result, is(expected));\n }","public double trace(){\r\n \tdouble trac = 0.0D;\r\n \tfor(int i=0; i<Math.min(this.ncol,this.ncol); i++){\r\n \ttrac += this.matrix[i][i];\r\n \t}\r\n \treturn trac;\r\n \t}","public double getLogProb(double value) {\n checkHasParams();\n if (value < 0) {\n return Double.NEGATIVE_INFINITY;\n } else {\n return logLambda - lambda * value;\n }\n }","public Timestamp getLastLogintime() {\n return lastLogintime;\n }","public int defaultAnomaly(int total);","static int logTime(int[] n, int start, int end, int val) {\n if(n == null || n.length == 0) return -1;\n int mid = (start + end) / 2;\n if(val < n[mid]) logTime(n, 0, mid, val);\n if(val > n[mid]) logTime(n, mid + 1, n.length, val);\n return n[mid];\n }","public SegaLogger getLog(){\r\n\t\treturn log;\r\n\t}","@Override\n public double getXValue(int series, int item) {\n assert 0 <= series && series < datasets.size();\n \n return ((double) ((item + 1) / 2)) * xStep;\n }","public int getLogHour(int index)\n {\n return m_Log.get(index).getHour();\n }","public double getFirstExtreme(){\r\n return firstExtreme;\r\n }","@Override\n public double getEndXValue(int series, int item) {\n assert 0 <= series && series < checkpoint.gcTraceSize();\n assert 0 <= item && item < checkpoint.size(series);\n\n double startSec = gcActivity(series, item).getStartSec();\n double durationSec = gcActivity(series, item).getDurationSec();\n return startSec + durationSec;\n }","public static double predict(LinkedList<Double> series)\n\t{\n\t\tdouble nextValue = 0;\n\t\tdouble lastValue = 0;\n\t\tif (S0 == 0)\n\t\t{\n\t\t\tfor (int i=0; i<series.size()-1; i++)\n\t\t\t\tS0 += series.get(i);\n\t\t\tS0 /= series.size()-1;\t\n\t\t}\n\t\tlastValue = series.get(series.size()-1);\n\t\tnextValue = S0 + alpha * (lastValue - S0);\n\t\tS0 = nextValue;\n\t\treturn nextValue;\n\t}","private double log2(double number){\n return (Math.log(number) / Math.log(2));\n }","protected double forecast( double t )\n throws IllegalArgumentException\n {\n double previousTime = t - getTimeInterval();\n \n // As a starting point, we set the first forecast value to be\n // the same as the observed value\n if ( previousTime < getMinimumTimeValue()+TOLERANCE )\n return getObservedValue( t );\n \n try\n {\n double b = getSlope( previousTime );\n \n double forecast\n = alpha*getObservedValue(t)\n + (1.0-alpha)*(getForecastValue(previousTime)+b);\n \n return forecast;\n }\n catch ( IllegalArgumentException iaex )\n {\n double maxTimeValue = getMaximumTimeValue();\n \n double b = getSlope( maxTimeValue-getTimeInterval() );\n double forecast\n = getForecastValue(maxTimeValue)\n + (t-maxTimeValue)*b;\n \n return forecast;\n }\n }","public static double log2(double x) {\n\t\tint base = 2;\n\t\treturn Math.log(x) / Math.log(base);\n\t}","public static Matrix logN(double base, Matrix matrix)\n {\n Matrix result = null;\n try\n {\n result = logN(matrix, base);\n }\n catch (Exception ex)\n {\n }\n return result;\n }","public Log_Expr_TElements getLog_Expr_TAccess() {\n\t\treturn (pLog_Expr_T != null) ? pLog_Expr_T : (pLog_Expr_T = new Log_Expr_TElements());\n\t}","public int logs()\n {\n return m_Log.size();\n }","@Override\n public double getStartYValue(int series, int item) {\n assert 0 <= series && series < checkpoint.gcTraceSize();\n assert 0 <= item && item < checkpoint.size(series);\n\n return 0.0;\n }","public TicketLog getLogByPosition(int position) {\n\t\tint previousPosition = logList.size()-position;\n\t\treturn logList.get(previousPosition);\n\t}","public Number getLogScore() {\r\n\t\treturn this.logScore;\r\n\t}","public double getSlope() {\n if (n < 2) {\n return Double.NaN; //not enough data\n }\n if (Math.abs(sumXX) < 10 * Double.MIN_VALUE) {\n return Double.NaN; //not enough variation in x\n }\n return sumXY / sumXX;\n }","public double log(double d){\r\n\r\n\t\tif(d == 0){\r\n\t\t\treturn 0.0;\r\n\t\t} else {\r\n\t\t\treturn Math.log(d)/Math.log(2);\r\n\t\t}\r\n\r\n\t}","private Log getLog() {\n if (controller != null) {\n log = controller.getLog();\n } \n return log ;\n }","static public int logaritam2(int x) {\r\n\t\tint lg = 0;\r\n\t\twhile(x != 1) {\r\n\t\t\tx /= 2;\r\n\t\t\tlg++;\r\n\t\t}\r\n\t\treturn lg;\r\n\t}","public p207() {\n double target = 1/12345.0;\n double log2 = Math.log(2);\n\n for (int x = 2; x < 2000000; x++){\n double a = Math.floor(Math.log(x) / log2) / (x-1);\n if (a < target){\n System.out.println(x*(x-1L));\n break;\n }\n }\n }","public abstract double log2Prior(double betaForDimension, int dimension);","public long getRunningTimeFromLogFile(String url) \r\n\t{\r\n\t\tString line = null;\r\n\t\tlong startTiem = 0;\r\n\t\tlong endTme = 0;\r\n\t\tlong totalTiem = -1;\r\n\t\t\r\n\t\tLinkedList<String> stack = new LinkedList<>();\r\n\t\ttry {\r\n\t\t\tif (openLogFile(url))\r\n\t\t\t{\r\n\t\t\t\twhile ((line = logFileReader.readLine()) != null) {\r\n\t\t\t\t\tstack.push(line);\r\n\t\t\t\t\tif(line.startsWith(\"==>S\") && startTiem == 0)\r\n\t\t\t\t\t{\r\n\t\t\t\t\t\tstartTiem = Long.parseLong(line.split(\" \")[1].split(\"\\\\.\")[0]);\r\n\t\t\t\t\t}\r\n\t\t\t\t }\r\n\t\t\t\t\r\n\t\t\t\twhile (true) {\r\n\t\t\t\t\tline = stack.pop();\r\n\t\t\t\t\ttry {\r\n\t\t\t\t\t\tif(line.startsWith(\"==>S\") && endTme == 0)\r\n\t\t\t\t\t\t{\r\n\t\t\t\t\t\t\tendTme = Long.parseLong(line.split(\" \")[1].split(\"\\\\.\")[0]);\r\n\t\t\t\t\t\t\tbreak; \r\n\t\t\t\t\t\t} }catch(NoSuchElementException e) { break; }\r\n\t\t\t\t }// end while\r\n\t\t\t\tif(startTiem != 0 && endTme !=0)\r\n\t\t\t\t{\r\n\t\t\t\t\ttotalTiem = endTme - startTiem;\r\n\t\t\t\t}\r\n\t\t\t\tcloseLogFile();\r\n\t\t\t} else System.out.println(\"The log file was not opened\");\r\n\t\t\t}catch(Exception e) \r\n\t\t\t{\r\n\t\t\t\tSystem.out.println(e.getMessage());\r\n\t\t\t\tcloseLogFile();\r\n\t\t\t}\r\n\t\treturn totalTiem;\r\n\t}","public double getSlope( ){\n if (x1 == x0){\n throw new ArithmeticException();\n }\n\n return (y1 - y0)/(x1 - x0);\n }","public float evaluate() \n {\n return evaluate(expr, expr.length()-1);\n }","public double findTSS(){\n\t\t\n\t\tdouble dMean; double dOut;\n\t\t\n\t\t//loading response variable\n\t\tdMean = 0;\n\t\tfor(double d:rgdY){\n\t\t\tdMean+=d;\n\t\t}\n\t\tdMean=dMean/((double) rgdY.length);\n\t\tdOut = 0;\n\t\tfor(double d:rgdY){\n\t\t\tdOut+=pow(d-dMean,2);\n\t\t}\n\t\treturn dOut;\n\t}","public int power(int x , int power ) {\n\t\treturn exp[(log[x] * power)%max_value];\n\t}","public Date getLastlogintime() {\n return lastlogintime;\n }","static double[] normalizeLogP(double[] lnP){\n double[] p = new double[lnP.length];\n \n // find the maximum\n double maxLnP = lnP[0];\n for (int i=1 ; i<p.length ; ++i){\n if (lnP[i] > maxLnP){\n maxLnP = lnP[i];\n }\n }\n \n // subtract the maximum and exponentiate\n // sum is guaranted to be >= 1.0;\n double sum = 0.0;\n for (int i=0 ; i<p.length ; ++i){\n p[i] = Math.exp(lnP[i] - maxLnP);\n if (!Double.isFinite(p[i])){\n p[i] = 0.0;\n }\n sum = sum + p[i];\n }\n \n // normalize sum to 1\n for (int i=0 ; i<p.length ; ++i){\n p[i] = p[i]/sum;\n }\n return p;\n }","@Override\r\n\tpublic Log getLog() {\n\t\treturn log;\r\n\t}","private String getLog() {\n\n\t\tNexTask curTask = TaskHandler.getCurrentTask();\n\t\tif (curTask == null || curTask.getLog() == null) {\n\t\t\treturn \"log:0\";\n\t\t}\n\t\tString respond = \"task_log:1:\" + TaskHandler.getCurrentTask().getLog();\n\t\treturn respond;\n\t}","public int getLogType(int index)\n {\n return m_Log.get(index).getType();\n }","@Override\r\n\tpublic double getValue(int index) {\n\t\tif (data==null) return 0;\r\n\t\t\r\n\t\tdouble d = 0;\r\n\t\tint begin=index+pos;\r\n\t\tif (begin<0) begin=0;\r\n\t\tif (begin>data.size()-1) begin = data.size()-1;\r\n\t\td = data.get(begin).getOpen();\r\n\t\t\r\n\t\treturn d;\r\n\t}","public static double sumLogProb (double a, double b)\n\t{\n\t\tif (a == Double.NEGATIVE_INFINITY) {\n\t\t\tif (b == Double.NEGATIVE_INFINITY)\n\t\t\t\treturn Double.NEGATIVE_INFINITY;\n return b;\n\t\t}\n\t\telse if (b == Double.NEGATIVE_INFINITY)\n\t\t\treturn a;\n\t\telse if (a > b)\n\t\t\treturn a + Math.log (1 + Math.exp(b-a));\n\t\telse\n\t\t\treturn b + Math.log (1 + Math.exp(a-b));\n\t}","public double evaluate(int[] O) {\n\n\t\t// Forward Recursion with Scaling\n\n\t\tint T = O.length;\n\t\tdouble[] c = allocateVector(T);\n\t\tdouble[] alpha_hat_t = allocateVector(N);\n\t\tdouble[] alpha_hat_t_plus_1 = allocateVector(N);\n\t\tdouble[] temp_alpha = null;\n\t\tdouble log_likelihood = 0;\n\n\t\tfor (int t = 0; t < T; t++) {\n\t\t\tif (t == 0) {\n\t\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\t\talpha_hat_t[i] = pi[i] * B[i][O[0]];\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tclearVector(alpha_hat_t_plus_1);\n\t\t\t\tfor (int j = 0; j < N; j++) {\n\t\t\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\t\t\talpha_hat_t_plus_1[j] += alpha_hat_t[i] * A[i][j] * B[j][O[t]];\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\ttemp_alpha = alpha_hat_t;\n\t\t\t\talpha_hat_t = alpha_hat_t_plus_1;\n\t\t\t\talpha_hat_t_plus_1 = temp_alpha;\n\t\t\t}\n\t\t\tc[t] = 1.0 / sum(alpha_hat_t);\n\t\t\ttimesAssign(alpha_hat_t, c[t]);\n\t\t\tlog_likelihood -= Math.log(c[t]);\n\t\t}\n\n\t\treturn Math.exp(log_likelihood);\n\t}"],"string":"[\n \"public double logZero(double x);\",\n \"long getLastLogIndex();\",\n \"long getFirstLogIndex();\",\n \"public Series logarithmic()\\n {\\n Series logarithmic = new Series();\\n logarithmic.x = new double[logarithmic.size = size];\\n logarithmic.r = r;\\n for(int t = 0; t<size; t++)\\n logarithmic.x[t] = Math.log(x[t]);\\n return logarithmic;\\n }\",\n \"public static double [] logarithm (double [][]x){\\n\\t\\tdouble [] log=new double [x.length-1];\\n\\t\\t\\n\\t\\tfor(int i=0; i<x.length-1;i++){\\n\\t\\t\\tdouble[] xk1=x[i+1];\\n\\t\\t\\tdouble[] xk=x[i];\\n\\t\\t\\tlog[i]=Math.log10(Math.max( Math.abs(xk1[0] - xk[0]), Math.abs(xk1[1] - xk[1]) ));\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn log;\\n\\t}\",\n \"@Override\\n public double evaluate() throws Exception {\\n return Math.log(getEx2().evaluate()) / Math.log(getEx2().evaluate());\\n }\",\n \"public static double log(double x)\\n\\t{\\n\\t if (x < 1.0)\\n\\t return -log(1.0/x);\\n\\t \\n\\t double m=0.0;\\n\\t double p=1.0;\\n\\t while (p <= x) {\\n\\t m++;\\n\\t p=p*2;\\n\\t }\\n\\t \\n\\t m = m - 1;\\n\\t double z = x/(p/2);\\n\\t \\n\\t double zeta = (1.0 - z)/(1.0 + z);\\n\\t double n=zeta;\\n\\t double ln=zeta;\\n\\t double zetasup = zeta * zeta;\\n\\t \\n\\t for (int j=1; true; j++)\\n\\t {\\n\\t n = n * zetasup;\\n\\t double newln = ln + n / (2 * j + 1);\\n\\t double term = ln/newln;\\n\\t if (term >= LOWER_BOUND && term <= UPPER_BOUND)\\n\\t return m * ln2 - 2 * ln;\\n\\t ln = newln;\\n\\t }\\n\\t}\",\n \"static private float _log(float x) {\\n \\t\\tif (!(x > 0f)) {\\n \\t\\t\\treturn Float.NaN;\\n \\t\\t}\\n \\t\\t//\\n \\t\\tfloat f = 0f;\\n \\t\\t//\\n \\t\\tint appendix = 0;\\n \\t\\twhile ((x > 0f) && (x <= 1f)) {\\n \\t\\t\\tx *= 2f;\\n \\t\\t\\tappendix++;\\n \\t\\t}\\n \\t\\t//\\n \\t\\tx /= 2f;\\n \\t\\tappendix--;\\n \\t\\t//\\n \\t\\tfloat y1 = x - 1f;\\n \\t\\tfloat y2 = x + 1f;\\n \\t\\tfloat y = y1 / y2;\\n \\t\\t//\\n \\t\\tfloat k = y;\\n \\t\\ty2 = k * y;\\n \\t\\t//\\n \\t\\tfor (long i = 1; i < 10; i += 2) {\\n \\t\\t\\tf += k / i;\\n \\t\\t\\tk *= y2;\\n \\t\\t}\\n \\t\\t//\\n \\t\\tf *= 2f;\\n \\t\\tfor (int i = 0; i < appendix; i++) {\\n \\t\\t\\tf += FLOAT_LOGFDIV2;\\n \\t\\t}\\n \\t\\t//\\n //\\t\\tlogger.info(\\\"exit _log\\\" + f);\\n \\t\\treturn f;\\n \\t}\",\n \"public float nextLog ()\\n {\\n // Generate a non-zero uniformly-distributed random value.\\n float u;\\n while ((u = GENERATOR.nextFloat ()) == 0)\\n {\\n // try again if 0\\n }\\n\\n return (float) (-m_fMean * Math.log (u));\\n }\",\n \"public synchronized int lastEntryTerm() {\\n if (this.lastEntryIndex() > 0) {\\n return this.logs.get(lastIndex).getTerm();\\n } else return -1;\\n }\",\n \"@Override\\r\\n\\tpublic double evaluate(double input1) throws ArithmeticException \\r\\n\\t{\\n\\t\\treturn Math.log(input1);\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic double t(double x) {\\r\\n\\t\\treturn Math.log( (x - this.getLower_bound() ) / (this.getUpper_bound() - x) );\\r\\n\\t}\",\n \"private static int getlog(int operand, int base) {\\n double answ = Math.log(operand)/Math.log(base);\\n if (answ == Math.ceil(answ)) {\\n return (int)answ;\\n }\\n else {\\n return (int)answ+1;\\n }\\n }\",\n \"private double logSumExp(double x[]) {\\n double maxx = Double.NEGATIVE_INFINITY;\\n for (double d : x) {\\n if (d > maxx) { maxx = d; }\\n }\\n double sum = 0.0;\\n for (double d : x) {\\n sum += Math.exp(d-maxx);\\n }\\n return maxx + Math.log(sum);\\n }\",\n \"public double logResult(double f) {\\n double r;\\n try {\\n r = 20 * Math.log10(result(f));\\n } catch (Exception e) {\\n r = -100;\\n }\\n if (Double.isInfinite(r) || Double.isNaN(r)) {\\n r = -100;\\n }\\n return r;\\n }\",\n \"static private float exact_log(float x) {\\n \\t\\tif (!(x > 0f)) {\\n \\t\\t\\treturn Float.NaN;\\n \\t\\t}\\n \\t\\t//\\n \\t\\tfloat f = 0f;\\n \\t\\t//\\n \\t\\tint appendix = 0;\\n \\t\\twhile ((x > 0f) && (x <= 1f)) {\\n \\t\\t\\tx *= 2f;\\n \\t\\t\\tappendix++;\\n \\t\\t}\\n \\t\\t//\\n \\t\\tx /= 2f;\\n \\t\\tappendix--;\\n \\t\\t//\\n \\t\\tfloat y1 = x - 1f;\\n \\t\\tfloat y2 = x + 1f;\\n \\t\\tfloat y = y1 / y2;\\n \\t\\t//\\n \\t\\tfloat k = y;\\n \\t\\ty2 = k * y;\\n \\t\\t//\\n \\t\\tfor (long i = 1; i < 50; i += 2) {\\n \\t\\t\\tf += k / i;\\n \\t\\t\\tk *= y2;\\n \\t\\t}\\n \\t\\t//\\n \\t\\tf *= 2f;\\n \\t\\tfor (int i = 0; i < appendix; i++) {\\n \\t\\t\\tf += FLOAT_LOGFDIV2;\\n \\t\\t}\\n \\t\\t//\\n //\\t\\tlogger.info(\\\"exit _log\\\" + f);\\n \\t\\treturn f;\\n \\t}\",\n \"public static final float log(float x) {\\n \\t\\tif (!(x > 0f)) {\\n \\t\\t\\treturn Float.NaN;\\n \\t\\t}\\n \\t\\t//\\n \\t\\tif (x == 1f) {\\n \\t\\t\\treturn 0f;\\n \\t\\t}\\n \\t\\t// Argument of _log must be (0; 1]\\n \\t\\tif (x > 1f) {\\n \\t\\t\\tx = 1 / x;\\n \\t\\t\\treturn -_log(x);\\n \\t\\t}\\n \\t\\t;\\n \\t\\t//\\n \\t\\treturn _log(x);\\n \\t}\",\n \"public static double logarit(double value, double base) {\\n\\t\\tif (base == Math.E)\\n\\t\\t\\treturn Math.log(value);\\n\\t\\telse if (base == 10)\\n\\t\\t\\treturn Math.log10(value);\\n\\t\\telse\\n\\t\\t\\treturn Double.NaN;\\n\\t\\t\\t\\n\\t}\",\n \"@Override\\n public double calculateLogP() {\\n\\n double fastLogP = logLhoodAllGeneTreesInSMCTree(getInverseGammaMixture(),\\n popPriorScaleInput.get().getValue(), false);\\n\\n if (debugFlag && numberofdebugchecks < maxnumberofdebugchecks) {\\n double robustLogP = logLhoodAllGeneTreesInSMCTree(getInverseGammaMixture(),\\n popPriorScaleInput.get().getValue(), true);\\n if (Math.abs(fastLogP - robustLogP) > 1e-12) {\\n System.err.println(\\\"BUG in calculateLogP() in PIOMSCoalescentDistribution\\\");\\n throw new RuntimeException(\\\"Fatal STACEY error.\\\");\\n\\n }\\n numberofdebugchecks++;\\n }\\n logP = fastLogP;\\n return logP;\\n }\",\n \"public static float log(float base, float arg) {\\n return (nlog(arg)) / nlog(base);\\n }\",\n \"@Test\\n public void whenInvokeThenReturnsLogarithmValues() {\\n Funcs funcs = new Funcs();\\n\\n List<Double> expected = Arrays.asList(0D, 0.301D, 0.477D);\\n List<Double> result = funcs.range(1, 3,\\n (pStart) -> {\\n double resultValue = Math.log10(pStart);\\n resultValue = Math.rint(resultValue * 1000) / 1000;\\n return resultValue;\\n });\\n\\n assertThat(result, is(expected));\\n }\",\n \"public static String getLogEntry(int index){\\n if(index < 0 || index >= log.size()){\\n return \\\"\\\";\\n }\\n return log.get(index);\\n }\",\n \"@SuppressWarnings(\\\"deprecation\\\")\\n\\t@Override\\n public double calculateLogP() {\\n logP = 0.0;\\n // jeffreys Prior!\\n if (jeffreys) {\\n logP += -Math.log(getChainValue(0));\\n }\\n for (int i = 1; i < chainParameter.getDimension(); i++) {\\n final double mean = getChainValue(i - 1);\\n final double x = getChainValue(i);\\n\\n if (useLogNormal) {\\n\\t final double sigma = 1.0 / shape; // shape = precision\\n\\t // convert mean to log space\\n\\t final double M = Math.log(mean) - (0.5 * sigma * sigma);\\n\\t logNormal.setMeanAndStdDev(M, sigma);\\n\\t logP += logNormal.logDensity(x);\\n } else {\\n final double scale = mean / shape;\\n gamma.setBeta(scale);\\n logP += gamma.logDensity(x);\\n }\\n }\\n return logP;\\n }\",\n \"public static double sumInLogDomain(double[] logs) {\\n\\t\\tdouble maxLog = logs[0];\\n\\t\\tint idxMax = 0;\\n\\t\\tfor (int i = 1; i < logs.length; i++) {\\n\\t\\t\\tif (maxLog < logs[i]) {\\n\\t\\t\\t\\tmaxLog = logs[i];\\n\\t\\t\\t\\tidxMax = i;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t// now calculate sum of exponent of differences\\n\\t\\tdouble sum = 0;\\n\\t\\tfor (int i = 0; i < logs.length; i++) {\\n\\t\\t\\tif (i == idxMax) {\\n\\t\\t\\t\\tsum++;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tsum += Math.exp(logs[i] - maxLog);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t// and return log of sum\\n\\t\\treturn maxLog + Math.log(sum);\\n\\t}\",\n \"public int divide(int x , int y ) {\\n\\t\\tif( y == 0 )\\n\\t\\t\\tthrow new ArithmeticException(\\\"Divide by zero\\\");\\n\\t\\tif( x == 0 )\\n\\t\\t\\treturn 0;\\n\\n\\t\\treturn exp[ log[x] + max_value - log[y] ];\\n\\t}\",\n \"public static double CalcLevel_Log(double SlopeStart, double SlopeStop,double FreqPoint)\\r\\n {\\n double levelLog = 0.0;\\r\\n double tempY = 0.0;\\r\\n\\r\\n tempY = SlopeStart * (Math.log10(FreqPoint)) + SlopeStop;\\r\\n levelLog = (Math.pow(10, tempY));\\r\\n\\r\\n return levelLog;\\r\\n }\",\n \"public static double logBase2(double x){\\n return Math.log(x)/Math.log(2);\\n }\",\n \"private static double log2(double x) {\\n return Math.log(x) / Math.log(2);\\n }\",\n \"public double getEstimate()\\n {\\n assert list.length > 0: \\\"The list cannot be empty\\\";\\n int R = list[0];\\n \\n //count how many are smaller or equal to R\\n double counter = 0;\\n for (int i = 1; i < k; i++) {\\n if (list[i]<R)\\n counter++;\\n }\\n return -Math.pow(2, R - 1) * Math.log(counter / (k-1)); }\",\n \"public double valueAt(double x) {\\r\\n \\treturn ((f.valueAt(x+epsilon)/2- f.valueAt(x-epsilon)/2)/epsilon);\\r\\n }\",\n \"private static double lg(double x) {\\n return Math.log(x) / Math.log(2.0);\\n }\",\n \"public double[] LogSlope(double StartFreq, double StopFreq, double StartLevel, double StopLevel)\\r\\n {\\n \\r\\n\\tdouble levelM1 = 0.0;\\r\\n double levelB1 = 0.0;\\r\\n double levelFlag = 0.0;\\r\\n double[] logSLopeCalcValues = new double[7];\\r\\n\\r\\n //calculate M1 value\\r\\n // M1 = (Y2 - Y1) / (X2- X1)\\r\\n levelM1 = (Math.log10(StopLevel) - Math.log10(StartLevel)) / (Math.log10(StopFreq) - Math.log10(StartFreq));\\r\\n\\r\\n //calculate B1 value\\r\\n // B1 = Y2 -(M1 * X2)\\r\\n levelB1 = Math.log10(StopLevel) - (levelM1 * Math.log10(StopFreq));\\r\\n\\r\\n // put the values in the array to return it\\r\\n logSLopeCalcValues[0] = levelM1;\\r\\n logSLopeCalcValues[1] = levelB1;\\r\\n logSLopeCalcValues[2] = StartFreq;\\r\\n logSLopeCalcValues[3] = StopFreq;\\r\\n logSLopeCalcValues[4] = StartLevel;\\r\\n logSLopeCalcValues[5] = StopLevel;\\r\\n logSLopeCalcValues[6] = levelFlag;\\r\\n //return the array with the M1 and B1 values\\r\\n return logSLopeCalcValues;\\r\\n }\",\n \"public static double log(double a){ \\n // migrated from jWMMG - the origin of the algorithm is not known.\\n if (Double.isNaN(a) || a < 0) {\\n return Double.NaN;\\n } else if (a == Double.POSITIVE_INFINITY) {\\n return Double.POSITIVE_INFINITY;\\n } else if (a == 0) {\\n return Double.NEGATIVE_INFINITY;\\n }\\n \\n long lx;\\n if (a > 1) {\\n lx = (long)(0.75*a); // 3/4*x\\n } else {\\n lx = (long)(0.6666666666666666666666666666666/a); // 2/3/x\\n }\\n \\n int ix;\\n int power;\\n if (lx > Integer.MAX_VALUE) {\\n ix = (int) (lx >> 31);\\n power = 31;\\n } else {\\n ix = (int) lx;\\n power = 0;\\n }\\n \\n while (ix != 0) {\\n ix >>= 1;\\n power++;\\n }\\n \\n double ret;\\n if (a > 1) {\\n ret = lnInternal(a / ((long) 1<<power)) + power * LN_2;\\n } else {\\n ret = lnInternal(a * ((long) 1<<power)) - power * LN_2;\\n }\\n return ret;\\n }\",\n \"public int inverse(int x ) {\\n\\t\\treturn exp[max_value - log[x]];\\n\\t}\",\n \"public static double[] logarit(double[] data, double base) {\\n\\t\\tdouble[] result = new double[data.length];\\n\\t\\tfor (int i = 0; i < data.length; i++) {\\n\\t\\t\\tif (base == Math.E)\\n\\t\\t\\t\\tresult[i] = Math.log(data[i]);\\n\\t\\t\\telse if (base == 10)\\n\\t\\t\\t\\tresult[i] = Math.log10(data[i]);\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn result;\\n\\t}\",\n \"public double get(int index) {\\n\\t\\treturn 0;\\n\\t}\",\n \"public final void log() throws ArithmeticException {\\n\\t\\tif ((mksa&_LOG) != 0) throw new ArithmeticException\\n\\t\\t(\\\"****Unit: log(\\\" + symbol + \\\")\\\") ;\\n\\t\\tvalue = AstroMath.log(value);\\n\\t\\tmksa |= _log;\\n\\t\\tif (symbol != null) \\n\\t\\t\\tsymbol = \\\"[\\\" + symbol + \\\"]\\\";\\t// Enough to indicate log\\n\\t}\",\n \"@Override\\n public Number getEndX(int series, int item) {\\n assert 0 <= series && series < checkpoint.gcTraceSize();\\n assert 0 <= item && item < checkpoint.size(series);\\n\\n return getEndXValue(series, item);\\n }\",\n \"static int linearLogTime(int[] n, int[] m) {\\n if(n == null || n.length == 0 || m == null || m.length == 0) return -1;\\n int sum = 0;\\n for(int i = 0; i < n.length; ++i) {\\n sum += logTime(m, 0, m.length, 15);\\n }\\n return sum;\\n }\",\n \"private void naturalLog()\\n\\t{\\n\\t\\tif(Fun == null)\\n\\t\\t{\\n\\t\\t\\tsetLeftValue();\\n\\t\\t\\tresult = calc.naturalLog ( );\\n\\t\\t\\tupdateText();\\n\\t\\t}\\n\\t}\",\n \"public double getTimestamp() {\\n switch (randomType) {\\n case EXPONENT:\\n return forArrive ? (-1d / LAMBDA) * Math.log(Math.random()) : (-1d / NU) * Math.log(Math.random());\\n\\n default:\\n return 0;\\n }\\n }\",\n \"public static float nlog(float x) {\\n if (x == 1) return 0;\\n\\n float agm = 1f;\\n float g1 = 1 / (x * (1 << (DEFAULT_ACCURACY - 2)));\\n float arithmetic;\\n float geometric;\\n\\n for (int i = 0; i < 5; i++) {\\n arithmetic = (agm + g1) / 2f;\\n geometric = BAKSH_sqrt(agm * g1);\\n agm = arithmetic;\\n g1 = geometric;\\n }\\n\\n return (PI / 2f) * (1 / agm) - DEFAULT_ACCURACY * LN2;\\n }\",\n \"@Override\\n public double evaluate(Map<String, Double> assignment) throws Exception {\\n\\n double res = Math.log(getEx2().evaluate(assignment)) / Math.log(getEx2().evaluate(assignment));\\n return res;\\n }\",\n \"public static int lastIndex(int input[], int x) {\\n return lastIndex(input, x, 0, -1);\\n\\t}\",\n \"public T elementLog() {\\n T c = createLike();\\n ops.elementLog(mat, c.mat);\\n return c;\\n }\",\n \"@Override\\n public double getXValue(int series, int item) {\\n assert 0 <= series && series < checkpoint.gcTraceSize();\\n assert 0 <= item && item < checkpoint.size(series);\\n\\n\\n double startSec = getStartXValue(series, item);\\n double endSec = getEndXValue(series, item);\\n double ret = startSec + (endSec - startSec) / 2.0;\\n return ret;\\n }\",\n \"private static final int calcLog (int value)\\n {\\n // Shortcut for uncached_data_length\\n if (value <= 1023 )\\n {\\n return MIN_CACHE;\\n }\\n else\\n {\\n return (int)(Math.floor (Math.log (value) / LOG2));\\n }\\n }\",\n \"public EventLogEntry getEventLogEntry(int index);\",\n \"public static double lg(double x) {\\n return Math.log(x) / Math.log(2);\\n }\",\n \"public synchronized int getLastTerm() {\\n if(lastEntryIndex() <= 0) return 0;\\n return getEntry(lastIndex).getTerm();\\n }\",\n \"public double lo() {\\n return lo;\\n }\",\n \"private static double lnInternal(double x){\\n double a = 1 - x;\\n double s = -a;\\n double t = a;\\n \\n for (int i = 2; i < 25; i++){\\n t = t*a;\\n s -= t/i;\\n }\\n return s;\\n }\",\n \"private double lnGamma(double x) \\n\\t{\\n\\t\\tdouble f = 0.0, z;\\n\\t\\tif (x < 7) \\n\\t\\t{\\n\\t\\t\\tf = 1;\\n\\t\\t\\tz = x - 1;\\n\\t\\t\\twhile (++z < 7)\\n\\t\\t\\t{\\n\\t\\t\\t\\tf *= z;\\n\\t\\t\\t}\\n\\t\\t\\tx = z;\\n\\t\\t\\tf = -Math.log(f);\\n\\t\\t}\\n\\t\\tz = 1 / (x * x);\\n\\t\\treturn\\tf + (x - 0.5) * Math.log(x) - x + 0.918938533204673 +\\n\\t\\t\\t\\t( ( ( -0.000595238095238 * z + 0.000793650793651 ) * z \\n\\t\\t\\t\\t\\t -0.002777777777778) * z + 0.083333333333333 ) / x;\\n\\t}\",\n \"private double f(double x) {\\n return (1 / (1 + Math.exp(-x)));\\n }\",\n \"public double getValue( double x )\\n {\\n if ( domain.contains( (float)x ) )\\n {\\n double sum = 0.0; \\n for ( int i = parameters.length - 1; i >= 0; i-- )\\n sum = x * sum + parameters[i];\\n return sum; \\n }\\n else\\n return 0; \\n }\",\n \"public int getLevel(int index)\\n\\t{\\n\\t\\tdouble value = (Math.log10(index/1.0)/Math.log10(2.0));\\n\\t\\tint level = (int)Math.floor(value);\\n\\t\\treturn level;\\n\\t}\",\n \"public double eval(double[] x) {\\n\\t\\tdouble z = VectorOps.dot(this.weights, x); \\t\\t// z is still w dot x\\n\\t\\tdouble log = 1.0 / (1.0 + Math.exp(-1 * z) ); \\t// 1 / (1 + e^-z)\\n\\n\\t\\treturn log;\\n\\t\\t\\n\\t}\",\n \"public static double[][] logarit(double[][] data, double base) {\\n\\t\\tdouble[][] result = new double[data.length][];\\n\\t\\t\\n\\t\\tfor (int i = 0; i < data.length; i++) {\\n\\t\\t\\tresult[i] = logarit(data[i], base);\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn result;\\n\\t}\",\n \"private double entropy(double x) {\\r\\n\\t\\tif (x > 0)\\r\\n\\t\\t\\treturn -(x * (Math.log(x) / Math.log(2.0)));\\r\\n\\t\\telse\\r\\n\\t\\t\\treturn 0.0;\\r\\n\\t}\",\n \"int getBacklog();\",\n \"@Test\\n public void whenLogarithmicFunctionThenLogarithmicResults() {\\n FunctionMethod functionMethod = new FunctionMethod();\\n List<Double> result = functionMethod.diapason(16, 18, x -> Math.log(x) / Math.log(2.0));\\n List<Double> expected = Arrays.asList(4D, 4.08746284125034D);\\n assertThat(result, is(expected));\\n }\",\n \"public double trace(){\\r\\n \\tdouble trac = 0.0D;\\r\\n \\tfor(int i=0; i<Math.min(this.ncol,this.ncol); i++){\\r\\n \\ttrac += this.matrix[i][i];\\r\\n \\t}\\r\\n \\treturn trac;\\r\\n \\t}\",\n \"public double getLogProb(double value) {\\n checkHasParams();\\n if (value < 0) {\\n return Double.NEGATIVE_INFINITY;\\n } else {\\n return logLambda - lambda * value;\\n }\\n }\",\n \"public Timestamp getLastLogintime() {\\n return lastLogintime;\\n }\",\n \"public int defaultAnomaly(int total);\",\n \"static int logTime(int[] n, int start, int end, int val) {\\n if(n == null || n.length == 0) return -1;\\n int mid = (start + end) / 2;\\n if(val < n[mid]) logTime(n, 0, mid, val);\\n if(val > n[mid]) logTime(n, mid + 1, n.length, val);\\n return n[mid];\\n }\",\n \"public SegaLogger getLog(){\\r\\n\\t\\treturn log;\\r\\n\\t}\",\n \"@Override\\n public double getXValue(int series, int item) {\\n assert 0 <= series && series < datasets.size();\\n \\n return ((double) ((item + 1) / 2)) * xStep;\\n }\",\n \"public int getLogHour(int index)\\n {\\n return m_Log.get(index).getHour();\\n }\",\n \"public double getFirstExtreme(){\\r\\n return firstExtreme;\\r\\n }\",\n \"@Override\\n public double getEndXValue(int series, int item) {\\n assert 0 <= series && series < checkpoint.gcTraceSize();\\n assert 0 <= item && item < checkpoint.size(series);\\n\\n double startSec = gcActivity(series, item).getStartSec();\\n double durationSec = gcActivity(series, item).getDurationSec();\\n return startSec + durationSec;\\n }\",\n \"public static double predict(LinkedList<Double> series)\\n\\t{\\n\\t\\tdouble nextValue = 0;\\n\\t\\tdouble lastValue = 0;\\n\\t\\tif (S0 == 0)\\n\\t\\t{\\n\\t\\t\\tfor (int i=0; i<series.size()-1; i++)\\n\\t\\t\\t\\tS0 += series.get(i);\\n\\t\\t\\tS0 /= series.size()-1;\\t\\n\\t\\t}\\n\\t\\tlastValue = series.get(series.size()-1);\\n\\t\\tnextValue = S0 + alpha * (lastValue - S0);\\n\\t\\tS0 = nextValue;\\n\\t\\treturn nextValue;\\n\\t}\",\n \"private double log2(double number){\\n return (Math.log(number) / Math.log(2));\\n }\",\n \"protected double forecast( double t )\\n throws IllegalArgumentException\\n {\\n double previousTime = t - getTimeInterval();\\n \\n // As a starting point, we set the first forecast value to be\\n // the same as the observed value\\n if ( previousTime < getMinimumTimeValue()+TOLERANCE )\\n return getObservedValue( t );\\n \\n try\\n {\\n double b = getSlope( previousTime );\\n \\n double forecast\\n = alpha*getObservedValue(t)\\n + (1.0-alpha)*(getForecastValue(previousTime)+b);\\n \\n return forecast;\\n }\\n catch ( IllegalArgumentException iaex )\\n {\\n double maxTimeValue = getMaximumTimeValue();\\n \\n double b = getSlope( maxTimeValue-getTimeInterval() );\\n double forecast\\n = getForecastValue(maxTimeValue)\\n + (t-maxTimeValue)*b;\\n \\n return forecast;\\n }\\n }\",\n \"public static double log2(double x) {\\n\\t\\tint base = 2;\\n\\t\\treturn Math.log(x) / Math.log(base);\\n\\t}\",\n \"public static Matrix logN(double base, Matrix matrix)\\n {\\n Matrix result = null;\\n try\\n {\\n result = logN(matrix, base);\\n }\\n catch (Exception ex)\\n {\\n }\\n return result;\\n }\",\n \"public Log_Expr_TElements getLog_Expr_TAccess() {\\n\\t\\treturn (pLog_Expr_T != null) ? pLog_Expr_T : (pLog_Expr_T = new Log_Expr_TElements());\\n\\t}\",\n \"public int logs()\\n {\\n return m_Log.size();\\n }\",\n \"@Override\\n public double getStartYValue(int series, int item) {\\n assert 0 <= series && series < checkpoint.gcTraceSize();\\n assert 0 <= item && item < checkpoint.size(series);\\n\\n return 0.0;\\n }\",\n \"public TicketLog getLogByPosition(int position) {\\n\\t\\tint previousPosition = logList.size()-position;\\n\\t\\treturn logList.get(previousPosition);\\n\\t}\",\n \"public Number getLogScore() {\\r\\n\\t\\treturn this.logScore;\\r\\n\\t}\",\n \"public double getSlope() {\\n if (n < 2) {\\n return Double.NaN; //not enough data\\n }\\n if (Math.abs(sumXX) < 10 * Double.MIN_VALUE) {\\n return Double.NaN; //not enough variation in x\\n }\\n return sumXY / sumXX;\\n }\",\n \"public double log(double d){\\r\\n\\r\\n\\t\\tif(d == 0){\\r\\n\\t\\t\\treturn 0.0;\\r\\n\\t\\t} else {\\r\\n\\t\\t\\treturn Math.log(d)/Math.log(2);\\r\\n\\t\\t}\\r\\n\\r\\n\\t}\",\n \"private Log getLog() {\\n if (controller != null) {\\n log = controller.getLog();\\n } \\n return log ;\\n }\",\n \"static public int logaritam2(int x) {\\r\\n\\t\\tint lg = 0;\\r\\n\\t\\twhile(x != 1) {\\r\\n\\t\\t\\tx /= 2;\\r\\n\\t\\t\\tlg++;\\r\\n\\t\\t}\\r\\n\\t\\treturn lg;\\r\\n\\t}\",\n \"public p207() {\\n double target = 1/12345.0;\\n double log2 = Math.log(2);\\n\\n for (int x = 2; x < 2000000; x++){\\n double a = Math.floor(Math.log(x) / log2) / (x-1);\\n if (a < target){\\n System.out.println(x*(x-1L));\\n break;\\n }\\n }\\n }\",\n \"public abstract double log2Prior(double betaForDimension, int dimension);\",\n \"public long getRunningTimeFromLogFile(String url) \\r\\n\\t{\\r\\n\\t\\tString line = null;\\r\\n\\t\\tlong startTiem = 0;\\r\\n\\t\\tlong endTme = 0;\\r\\n\\t\\tlong totalTiem = -1;\\r\\n\\t\\t\\r\\n\\t\\tLinkedList<String> stack = new LinkedList<>();\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tif (openLogFile(url))\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\twhile ((line = logFileReader.readLine()) != null) {\\r\\n\\t\\t\\t\\t\\tstack.push(line);\\r\\n\\t\\t\\t\\t\\tif(line.startsWith(\\\"==>S\\\") && startTiem == 0)\\r\\n\\t\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\t\\tstartTiem = Long.parseLong(line.split(\\\" \\\")[1].split(\\\"\\\\\\\\.\\\")[0]);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t }\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\twhile (true) {\\r\\n\\t\\t\\t\\t\\tline = stack.pop();\\r\\n\\t\\t\\t\\t\\ttry {\\r\\n\\t\\t\\t\\t\\t\\tif(line.startsWith(\\\"==>S\\\") && endTme == 0)\\r\\n\\t\\t\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\t\\t\\tendTme = Long.parseLong(line.split(\\\" \\\")[1].split(\\\"\\\\\\\\.\\\")[0]);\\r\\n\\t\\t\\t\\t\\t\\t\\tbreak; \\r\\n\\t\\t\\t\\t\\t\\t} }catch(NoSuchElementException e) { break; }\\r\\n\\t\\t\\t\\t }// end while\\r\\n\\t\\t\\t\\tif(startTiem != 0 && endTme !=0)\\r\\n\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\ttotalTiem = endTme - startTiem;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tcloseLogFile();\\r\\n\\t\\t\\t} else System.out.println(\\\"The log file was not opened\\\");\\r\\n\\t\\t\\t}catch(Exception e) \\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tSystem.out.println(e.getMessage());\\r\\n\\t\\t\\t\\tcloseLogFile();\\r\\n\\t\\t\\t}\\r\\n\\t\\treturn totalTiem;\\r\\n\\t}\",\n \"public double getSlope( ){\\n if (x1 == x0){\\n throw new ArithmeticException();\\n }\\n\\n return (y1 - y0)/(x1 - x0);\\n }\",\n \"public float evaluate() \\n {\\n return evaluate(expr, expr.length()-1);\\n }\",\n \"public double findTSS(){\\n\\t\\t\\n\\t\\tdouble dMean; double dOut;\\n\\t\\t\\n\\t\\t//loading response variable\\n\\t\\tdMean = 0;\\n\\t\\tfor(double d:rgdY){\\n\\t\\t\\tdMean+=d;\\n\\t\\t}\\n\\t\\tdMean=dMean/((double) rgdY.length);\\n\\t\\tdOut = 0;\\n\\t\\tfor(double d:rgdY){\\n\\t\\t\\tdOut+=pow(d-dMean,2);\\n\\t\\t}\\n\\t\\treturn dOut;\\n\\t}\",\n \"public int power(int x , int power ) {\\n\\t\\treturn exp[(log[x] * power)%max_value];\\n\\t}\",\n \"public Date getLastlogintime() {\\n return lastlogintime;\\n }\",\n \"static double[] normalizeLogP(double[] lnP){\\n double[] p = new double[lnP.length];\\n \\n // find the maximum\\n double maxLnP = lnP[0];\\n for (int i=1 ; i<p.length ; ++i){\\n if (lnP[i] > maxLnP){\\n maxLnP = lnP[i];\\n }\\n }\\n \\n // subtract the maximum and exponentiate\\n // sum is guaranted to be >= 1.0;\\n double sum = 0.0;\\n for (int i=0 ; i<p.length ; ++i){\\n p[i] = Math.exp(lnP[i] - maxLnP);\\n if (!Double.isFinite(p[i])){\\n p[i] = 0.0;\\n }\\n sum = sum + p[i];\\n }\\n \\n // normalize sum to 1\\n for (int i=0 ; i<p.length ; ++i){\\n p[i] = p[i]/sum;\\n }\\n return p;\\n }\",\n \"@Override\\r\\n\\tpublic Log getLog() {\\n\\t\\treturn log;\\r\\n\\t}\",\n \"private String getLog() {\\n\\n\\t\\tNexTask curTask = TaskHandler.getCurrentTask();\\n\\t\\tif (curTask == null || curTask.getLog() == null) {\\n\\t\\t\\treturn \\\"log:0\\\";\\n\\t\\t}\\n\\t\\tString respond = \\\"task_log:1:\\\" + TaskHandler.getCurrentTask().getLog();\\n\\t\\treturn respond;\\n\\t}\",\n \"public int getLogType(int index)\\n {\\n return m_Log.get(index).getType();\\n }\",\n \"@Override\\r\\n\\tpublic double getValue(int index) {\\n\\t\\tif (data==null) return 0;\\r\\n\\t\\t\\r\\n\\t\\tdouble d = 0;\\r\\n\\t\\tint begin=index+pos;\\r\\n\\t\\tif (begin<0) begin=0;\\r\\n\\t\\tif (begin>data.size()-1) begin = data.size()-1;\\r\\n\\t\\td = data.get(begin).getOpen();\\r\\n\\t\\t\\r\\n\\t\\treturn d;\\r\\n\\t}\",\n \"public static double sumLogProb (double a, double b)\\n\\t{\\n\\t\\tif (a == Double.NEGATIVE_INFINITY) {\\n\\t\\t\\tif (b == Double.NEGATIVE_INFINITY)\\n\\t\\t\\t\\treturn Double.NEGATIVE_INFINITY;\\n return b;\\n\\t\\t}\\n\\t\\telse if (b == Double.NEGATIVE_INFINITY)\\n\\t\\t\\treturn a;\\n\\t\\telse if (a > b)\\n\\t\\t\\treturn a + Math.log (1 + Math.exp(b-a));\\n\\t\\telse\\n\\t\\t\\treturn b + Math.log (1 + Math.exp(a-b));\\n\\t}\",\n \"public double evaluate(int[] O) {\\n\\n\\t\\t// Forward Recursion with Scaling\\n\\n\\t\\tint T = O.length;\\n\\t\\tdouble[] c = allocateVector(T);\\n\\t\\tdouble[] alpha_hat_t = allocateVector(N);\\n\\t\\tdouble[] alpha_hat_t_plus_1 = allocateVector(N);\\n\\t\\tdouble[] temp_alpha = null;\\n\\t\\tdouble log_likelihood = 0;\\n\\n\\t\\tfor (int t = 0; t < T; t++) {\\n\\t\\t\\tif (t == 0) {\\n\\t\\t\\t\\tfor (int i = 0; i < N; i++) {\\n\\t\\t\\t\\t\\talpha_hat_t[i] = pi[i] * B[i][O[0]];\\n\\t\\t\\t\\t}\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tclearVector(alpha_hat_t_plus_1);\\n\\t\\t\\t\\tfor (int j = 0; j < N; j++) {\\n\\t\\t\\t\\t\\tfor (int i = 0; i < N; i++) {\\n\\t\\t\\t\\t\\t\\talpha_hat_t_plus_1[j] += alpha_hat_t[i] * A[i][j] * B[j][O[t]];\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\ttemp_alpha = alpha_hat_t;\\n\\t\\t\\t\\talpha_hat_t = alpha_hat_t_plus_1;\\n\\t\\t\\t\\talpha_hat_t_plus_1 = temp_alpha;\\n\\t\\t\\t}\\n\\t\\t\\tc[t] = 1.0 / sum(alpha_hat_t);\\n\\t\\t\\ttimesAssign(alpha_hat_t, c[t]);\\n\\t\\t\\tlog_likelihood -= Math.log(c[t]);\\n\\t\\t}\\n\\n\\t\\treturn Math.exp(log_likelihood);\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5831289","0.56712365","0.5641109","0.5636774","0.5563027","0.54627055","0.5392971","0.53246105","0.53125197","0.52770096","0.52540725","0.52529925","0.5186798","0.5183949","0.51615274","0.514997","0.5132007","0.50933486","0.5060206","0.5050792","0.50493354","0.5031708","0.49309018","0.48803443","0.48538753","0.48437873","0.48360848","0.48077112","0.48069388","0.47962296","0.47944114","0.47857445","0.47715807","0.4759242","0.47476146","0.47459733","0.47366545","0.473108","0.47282243","0.4725868","0.4720762","0.468457","0.46808574","0.46671942","0.46593368","0.46477947","0.46440148","0.46427706","0.46364784","0.4619901","0.46155047","0.4613742","0.46027678","0.45916042","0.45746934","0.4572328","0.45708838","0.45669293","0.45571554","0.4547715","0.45333424","0.45239604","0.44982907","0.44915858","0.44670066","0.4466776","0.44666204","0.44651848","0.44621134","0.44594666","0.44448572","0.44319996","0.4426597","0.44115022","0.4396091","0.43772885","0.4371111","0.43703246","0.4369889","0.43686482","0.43663776","0.43651184","0.43646887","0.43624133","0.4361753","0.43602484","0.43569854","0.4339057","0.43382218","0.433352","0.4333102","0.4326522","0.4325498","0.43170315","0.43089962","0.4295184","0.42918962","0.42914915","0.42910343","0.4289649"],"string":"[\n \"0.5831289\",\n \"0.56712365\",\n \"0.5641109\",\n \"0.5636774\",\n \"0.5563027\",\n \"0.54627055\",\n \"0.5392971\",\n \"0.53246105\",\n \"0.53125197\",\n \"0.52770096\",\n \"0.52540725\",\n \"0.52529925\",\n \"0.5186798\",\n \"0.5183949\",\n \"0.51615274\",\n \"0.514997\",\n \"0.5132007\",\n \"0.50933486\",\n \"0.5060206\",\n \"0.5050792\",\n \"0.50493354\",\n \"0.5031708\",\n \"0.49309018\",\n \"0.48803443\",\n \"0.48538753\",\n \"0.48437873\",\n \"0.48360848\",\n \"0.48077112\",\n \"0.48069388\",\n \"0.47962296\",\n \"0.47944114\",\n \"0.47857445\",\n \"0.47715807\",\n \"0.4759242\",\n \"0.47476146\",\n \"0.47459733\",\n \"0.47366545\",\n \"0.473108\",\n \"0.47282243\",\n \"0.4725868\",\n \"0.4720762\",\n \"0.468457\",\n \"0.46808574\",\n \"0.46671942\",\n \"0.46593368\",\n \"0.46477947\",\n \"0.46440148\",\n \"0.46427706\",\n \"0.46364784\",\n \"0.4619901\",\n \"0.46155047\",\n \"0.4613742\",\n \"0.46027678\",\n \"0.45916042\",\n \"0.45746934\",\n \"0.4572328\",\n \"0.45708838\",\n \"0.45669293\",\n \"0.45571554\",\n \"0.4547715\",\n \"0.45333424\",\n \"0.45239604\",\n \"0.44982907\",\n \"0.44915858\",\n \"0.44670066\",\n \"0.4466776\",\n \"0.44666204\",\n \"0.44651848\",\n \"0.44621134\",\n \"0.44594666\",\n \"0.44448572\",\n \"0.44319996\",\n \"0.4426597\",\n \"0.44115022\",\n \"0.4396091\",\n \"0.43772885\",\n \"0.4371111\",\n \"0.43703246\",\n \"0.4369889\",\n \"0.43686482\",\n \"0.43663776\",\n \"0.43651184\",\n \"0.43646887\",\n \"0.43624133\",\n \"0.4361753\",\n \"0.43602484\",\n \"0.43569854\",\n \"0.4339057\",\n \"0.43382218\",\n \"0.433352\",\n \"0.4333102\",\n \"0.4326522\",\n \"0.4325498\",\n \"0.43170315\",\n \"0.43089962\",\n \"0.4295184\",\n \"0.42918962\",\n \"0.42914915\",\n \"0.42910343\",\n \"0.4289649\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6868315"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":19785,"cells":{"query":{"kind":"string","value":"Sample mean of the series."},"document":{"kind":"string","value":"public double mean()\n {\n double sum = 0.0;\n for(int t = 0; t<size; t++)\n sum += x[t];\n return sum/size;\n }"},"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":["public double mean() {\n double total = 0;\n for (int i = 0; i < sites.length; i++) {\n total += sites[i];\n }\n sampleMean = total / size / times;\n return sampleMean;\n }","public double mean() {\r\n\t\treturn mean;\r\n\t}","public double mean() {\n\t\treturn mean;\n\t}","public double mean() {\n\t\treturn mean;\n\t}","public double getMean() \r\n\t{\r\n\t\tlong tmp = lastSampleTime - firstSampleTime;\r\n\t\treturn ( tmp > 0 ? sumPowerOne / (double) tmp : 0);\r\n\t}","public double mean() {\n return mean;\n }","public double mean() {\n return StdStats.mean(stats);\r\n }","public double sampleVarianceOfMean() {\n\t\treturn sampleVariance() * getWeight();\n\t}","public final double getMean()\r\n\t{\r\n\t\treturn mean;\r\n\t}","public static double meanVal(int[] sample){\n double total = 0;\n for (int i = 0; i < sample.length; i++){\n total = total + sample[i];\n }\n double mean = total/sample.length;\n return mean;\n }","public Double getMean() {\n return mean;\n }","public double mean()\n {\n return StdStats.mean(open);\n// return StdStats.sum(open) / count;\n }","public double getMean() {\n return mean;\n }","public void setMean(double mean) {\n this.mean = mean;\n }","public double getMean(){\n\t\treturn (double)sampleSize * type1Size / populationSize;\n\t}","public double mean() { \n return StdStats.mean(result);\n\n }","public double mean() {\n return StdStats.mean(fraction);\n }","public double mean() {\n\t\tif (count() > 0) {\n\t\t\treturn _sum.get() / (double) count();\n\t\t}\n\t\treturn 0.0;\n\t}","public T mean();","private void PeriodMeanEvaluation () {\n\n float x = 0;\n for(int i = 0; i < 3; i++)\n {\n for(int j = 0; j < numberOfSample; j++)\n {\n x = x + singleFrame[j][i];\n }\n meanOfPeriodCoord[i] = (x/numberOfSample);\n x = 0;\n }\n }","private static double meanVal(double[] arrayOfSamples){\n\t\tdouble total = 0;\n\t\t for (double i :arrayOfSamples){\n\t\t \ttotal += i;\n\t\t }\n\t return total/arrayOfSamples.length;\n\t}","public double mean() {\n return StdStats.mean(openSites) / times;\n }","public double mean() {\n return StdStats.mean(trialResult);\n }","public double mean() {\n return StdStats.mean(perThreshold);\n }","public double mean() {\n\t\treturn StdStats.mean(results); \n\t}","public double mean() {\n return mu;\n }","public double mean() {\n/* 179 */ Preconditions.checkState((this.count != 0L));\n/* 180 */ return this.mean;\n/* */ }","@Override\n\tpublic double mean() {\n\t\treturn 0;\n\t}","public double mean() {\n\t\tint n = this.getAttCount();\n\t\tif (n == 0) return Constants.UNUSED;\n\t\t\n\t\tdouble sum = 0;\n\t\tfor (int i = 0; i < n; i++) {\n\t\t\tdouble v = this.getValueAsReal(i);\n\t\t\tsum += v;\n\t\t}\n\t\t\n\t\treturn sum / (double)n;\n\t}","public String getMean()\n {\n return mean;\n }","public double mean() {\n return StdStats.mean(results);\n }","@Override\n\tpublic double getMean() {\n\t\treturn 1/this.lambda;\n\t}","public double mean(){\n return StdStats.mean(percentage);\n }","public double[] mean() {\n\t\tdouble[] mean = null;\n\t\tif(instances != null) {\n\t\t\tmean = new double[instances.get(0).length];\n\t\t\tfor(double[] instance : instances) {\n\t\t\t\tfor(int d=0; d<mean.length; d++) {\n\t\t\t\t\tmean[d] += instance[d];\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tdouble n = instances.size();\n\t\t\tfor(int d=0; d<mean.length; d++) {\n\t\t\t\tmean[d] /= n;\n\t\t\t}\n\t\t}\n\t\treturn mean;\n\t}","int nextSample(final double mean);","public double mean() {\n return StdStats.mean(this.openSites);\n }","public double getNoiseMean() {\n\t\t\treturn NOISE_MEAN;\n\t\t}","public double mean() {\n return StdStats.mean(thresholds);\n }","public double mean() {\n return StdStats.mean(thresholds);\n }","public double mean() {\n\t\treturn StdStats.mean(threshold);\n\t}","@Override\n public Double average() {\n return (sum() / (double) count());\n }","public double mean (List<? extends Number> a){\n\t\tint sum = sum(a);\n\t\tdouble mean = 0;\n\t\tmean = sum / (a.size() * 1.0);\n\t\treturn mean;\n\t}","public double getMean(){\n\t\treturn Math.exp(location + scale * scale / 2);\n\t}","public double mean(double data[]) {\r\n\t\tdouble mean = 0;\r\n\t\ttry {\r\n\t\t\tfor(int i=0;i<data.length;i++) {\r\n\t\t\t\tmean =mean+data[i];\r\n\t\t\t}\r\n\t\t\tmean = mean / data.length;\r\n\t\t}\r\n\t\tcatch(Exception e) {\r\n\t\t\tDataMaster.logger.warning(e.toString());\r\n\t\t\t//e.printStackTrace();\r\n\t\t}\r\n\t\treturn mean;\r\n\t}","public double average(){\r\n\t\t//create variable to hold the values\r\n\t\tdouble average = 0;\r\n\t\t\r\n\t\tfor (int i = 0; i < this.data.length; i++){\r\n\t\t\t//add current index\r\n\t\t\taverage += this.data[i];\r\n\t\t\t}\r\n\t\treturn (average/this.data.length);\r\n\t}","double avg(){\n\t\tdouble sum = 0.0;\n\t\tfor(int i=0;i<num.length;i++)\n\t\t\tsum+=num[i].doubleValue();\n\t\treturn sum/num.length;\n\t}","public double getXMean() {\n\t\treturn xStats.mean();\n\t}","@Override\n\tpublic double avg() {\n\t\treturn total()/4.0;\n\t}","private void updateMean() {\r\n double tmp = 0.0;\r\n for (Tweet t : members) {\r\n tmp += t.getDateLong();\r\n }\r\n tmp = tmp / (double) members.size();\r\n this.mean = tmp;\r\n }","double getMeanPrice() {\n List<Double> allPrices = new ArrayList<>();\n\n for (Firm firm : firms) {\n List<Double> pricesOfFirm = firm.getPrices();\n allPrices.addAll(pricesOfFirm.subList(pricesOfFirm.size() - SimulationManager.sizeOfExaminationInterval, pricesOfFirm.size()));\n }\n\n return Calculation.round(Calculation.getMean(allPrices), 2);\n }","public static double mean(double[] x){\n\n //Declares and intializes mean and total to 0;\n double mean = 0;\n double total = 0;\n\n //Takes the total of all the numbers in every index\n for(int i = 0; i < x.length; i++){\n total += x[i];\n }\n //Divides total by 10\n mean = total / 10;\n\n //returns mean\n return mean;\n\n }","public double arithmeticalMean(double[] arr) {\n return 0;\n }","public double average(){\n double avg = 0;\n double sum = 0;\n for (T t : arr) {\n // sum += t.doubleValue();\n }\n\n return sum / arr.length;\n }","private void calculateMean(float total){\r\n float averageBonds = total/accountInTotal;\r\n float averageAER = (averageBonds-startingBonds)/(startingBonds/100);\r\n\r\n Account averageAccount = new Account(startingBonds,averageBonds,averageAER);\r\n System.out.println(averageAccount.toString());\r\n\r\n }","double getMeanQuantity() {\n ArrayList<Double> allQuantities = new ArrayList<>();\n\n for (Firm firm : firms) {\n List<Double> quantitiesOfFirm = firm.getQuantities();\n allQuantities.addAll(quantitiesOfFirm.subList(quantitiesOfFirm.size() - SimulationManager.sizeOfExaminationInterval, quantitiesOfFirm.size()));\n }\n\n return Calculation.round(Calculation.getMean(allQuantities), 2);\n }","public double getMeanSquare() {\n return sumQ / count;\n }","public double getMean() {\n double timeWeightedSum = 0;\n\n for (int i = 0; i < accumulate.size() - 1; i++) {\n timeWeightedSum += accumulate.get(i).value\n * (accumulate.get(i + 1).timeOfChange\n - accumulate.get(i).timeOfChange);\n\n }\n LOG_HANDLER.logger.finer(\"timeWeightedSum Value: \" + timeWeightedSum\n + \"totalOfQuueueEntries: \" + totalOfQueueEntries);\n return timeWeightedSum / totalOfQueueEntries;\n }","public void showAverage() {\n System.out.println(\"Average: \" + createStream().average());\n }","public double average() {\n return average(0.0);\n }","public double getAverage(){\r\n\t\tdouble sum=0;\r\n\t\tfor(Iterator<T> it=this.iterator();it.hasNext();){\r\n\t\t\tsum+=it.next().doubleValue();\r\n\t\t}\r\n\t\treturn sum/this.size();\r\n\t}","public static double meanOf(Iterable<? extends Number> values) {\n/* 393 */ return meanOf(values.iterator());\n/* */ }","public void average() {\n\t\tif (averaged)\n\t\t\tthrow new AssertionError(\"can't average twice!!\");\n\t\t\n\t\tscale = 1.0/(double)t;\n\t\t\n\t\tfor (int i = 0; i < w.length; i++)\n\t\t\tw[i] = (t+1.0)*w[i] - wupdates[i];\n\t\t\n\t\taveraged = true;\n\t\n\t}","private double[] mean(Population pop) {\n double[] value = new double[pop.getIndividual(0).getNumGenes()];\n //for all individuals\n Iterator<Individual> it = pop.getIterator();\n while (it.hasNext()) {\n Individual ind = it.next();\n //sum the value of the gene\n for (int i = 0; i < value.length; i++) {\n value[i] += ind.getGeneValue(i);\n }\n }\n //divide by the number of individuals\n double factor = 1.0 / pop.getNumGenotypes();\n for (int i = 0; i < value.length; i++) {\n value[i] *=factor;\n }\n return value;\n }","private int getMean(int[] times) {\n\n\t\t//Initialise mean and sum to 0\n\t\tint mean = 0;\n\t\tint sum = 0;\n\n\t\t//Loop through all the times\n\t\tfor (int i = 0; i < times.length; i++) {\n\n\t\t\t//Add to the sum\n\t\t\tsum += times[i];\n\t\t}\n\n\t\t//Calculate and return the mean\n\t\tmean = sum/times.length;\n\t\treturn mean;\n\t}","public static double meanOf(double... values) {\n/* 433 */ Preconditions.checkArgument((values.length > 0));\n/* 434 */ double mean = values[0];\n/* 435 */ for (int index = 1; index < values.length; index++) {\n/* 436 */ double value = values[index];\n/* 437 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\n/* */ \n/* 439 */ mean += (value - mean) / (index + 1);\n/* */ } else {\n/* 441 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\n/* */ } \n/* */ } \n/* 444 */ return mean;\n/* */ }","private Double getMean(Double[] values) {\n double sum = 0;\n int count = 0;\n for (Double d: values) {\n if (d != null) {\n sum += d;\n ++count;\n }\n }\n return count == 0 ? null : (sum / count);\n }","public void getAvg()\n {\n this.avg = sum/intData.length;\n }","double average();","public double getAverage(){\n return getTotal()/array.length;\n }","public static double meanOf(Iterator<? extends Number> values) {\n/* 407 */ Preconditions.checkArgument(values.hasNext());\n/* 408 */ long count = 1L;\n/* 409 */ double mean = ((Number)values.next()).doubleValue();\n/* 410 */ while (values.hasNext()) {\n/* 411 */ double value = ((Number)values.next()).doubleValue();\n/* 412 */ count++;\n/* 413 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\n/* */ \n/* 415 */ mean += (value - mean) / count; continue;\n/* */ } \n/* 417 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\n/* */ } \n/* */ \n/* 420 */ return mean;\n/* */ }","public synchronized double getAverage() {\n return average;\n }","public Quantity<Q> getAverage(Unit<Q> unit) {\n return average.to(unit);\n }","public static double meanOf(int... values) {\n/* 457 */ Preconditions.checkArgument((values.length > 0));\n/* 458 */ double mean = values[0];\n/* 459 */ for (int index = 1; index < values.length; index++) {\n/* 460 */ double value = values[index];\n/* 461 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\n/* */ \n/* 463 */ mean += (value - mean) / (index + 1);\n/* */ } else {\n/* 465 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\n/* */ } \n/* */ } \n/* 468 */ return mean;\n/* */ }","@Override\n\tpublic int avg() {\n\t\treturn (this.sum()/3);\n\t}","public double populationMean()\n\t{\n\t\treturn null == _distPopulation ? java.lang.Double.NaN : _distPopulation.mean();\n\t}","public static Double mean(ArrayList<Double> values) {\n\t\tDouble total = 0.0;\n\t\t// iterate through the values and add to the total\n\t\tfor (int i = 0; i < values.size(); i++) {\n\t\t\ttotal += values.get(i);\n\t\t}\n\t\t// return the total devided by the number of values\n\t\treturn total / values.size();\n\t}","private List<Double> sumMeanX(List<Business> business, double avg) {\n\t\tList<Double> sumMean = new ArrayList<Double>();\n\n\t\tfor (Business biz : business) {\n\t\t\tint price = biz.getPrice();\n\t\t\tsumMean.add(price - avg);\n\t\t}\n\t\treturn sumMean;\n\t}","public float getMean() {\r\n int sum = getSum(rbt.root);\r\n float mean = sum / rbt.size();\r\n return mean;\r\n }","public double getAvg(){\n double avg=0;\n for(int x=0; x<max; x++){\n avg=avg+times[x];\n }\n avg=avg/max;\n return avg;\n }","public double varianceOfMean() {\n\t\treturn variance() * getWeight();\n\t}","public double getAverage() {\n return this.average;\n }","public double average() {\n double average = 0;\n for (int i = 0; i < studentList.size(); i++) {\n Student student = studentList.get(i);\n average += student.average();\n }\n average /= studentList.size();\n return average;\n }","public void addSample( final double value ) {\n\t\tfinal double weight = getWeight( ++_population );\n\t\t_mean = weight * value + ( 1 - weight ) * _mean;\n\t\t_meanSquare = weight * value * value + ( 1 - weight ) * _meanSquare;\n\t}","public double getAverage()\n {\n return getSum() / 2.0;\n }","private float calculateMean()\n { \n int numberEmployees = employees.size();\n float total = 0, meanGrossPay = 0;\n // Create an array of all gross pays\n float[] allGrossPay = new float[numberEmployees];\n \n // Call method to return an array of float containing all gross pays\n allGrossPay = calculateAllGrossPay();\n // Find total gross pay\n for (int i = 0; i < numberEmployees; i++)\n {\n total += allGrossPay[i];\n }\n // Find mean and return it\n if (numberEmployees > 0)\n {\n meanGrossPay = total/numberEmployees;\n \n }\n return meanGrossPay;\n }","public MeanVar(double value) {\n\t\taddValue(value);\n\t}","public MeanVar(double[] data) {\n\t\tfor (int i = 0; i < data.length; i++)\n\t\t\taddValue(data[i]);\n\t}","public DMatrixRMaj getMean() {\n\t\treturn x;\n\t}","public double mean() {\n\t\tdouble totalPercolationThershold = 0d;\n\t\tfor(double openedSite : openedSites){\n\t\t\ttotalPercolationThershold+= (double)(openedSite);\n\t\t}\n\t\treturn (totalPercolationThershold/trails);\n\t}","public static float mean(float[] v) {\n\t\tfloat sum = 0;\n\t\tint count = 0;\n\t\tfor (float value : v) {\n\t\t\tif (Util.isUsed(value)) {\n\t\t\t\tsum += value;\n\t\t\t\tcount ++;\n\t\t\t}\n\t\t\t\t\n\t\t}\n\t\t\n\t\treturn sum / (float)count;\n\t}","public double geoMean() {\n\t\tint product = 1;\n\t\tfor (Animal a : animals) {\n\t\t\tproduct *= a.getSize();\n\t\t}\n\t\treturn Math.pow(product, 1.0 / animals.size());\n\t}","public static float getMean(float[] weatherArray){\n float mean = getTotal(weatherArray)/weatherArray.length;\n return mean;\n }","void changeMean(double a) {\n mean = mean + (buffer - mean) * a;\n }","public double mean() {\n double resultat = 0;\n for (int i = 0; i < tab.size(); i++) {\n for (int j = 0; j < tab.get(i).size(); j++) {\n resultat += Double.parseDouble(tab.get(i).get(j));\n }\n }\n resultat = (resultat / (tab.size() + tab.get(0).size() - 1));\n System.out.println(\"Mean colonne:\" + resultat);\n return resultat;\n }","public float getAverage(){\r\n\t\treturn Average;\r\n\t}","private double getAvg() {\n\n double sum = 0;\n\n for (Map.Entry<Integer, Double> entry : values.entrySet()) {\n sum += entry.getValue();\n }\n\n if (values.size() > 0) {\n return sum / values.size();\n } else {\n throw new IllegalStateException(\"no values\");\n }\n }","public static double findMean(ArrayList<Integer> arr) {\n\t\tint length = arr.size();\n\t\tint sum = 0;\n\t\tfor(int i : arr) { sum += i; }\n\t\treturn (double)sum/length;\n\t}","public void setMeanAnamoly(double value) {\n this.meanAnamoly = value;\n }","public void average(){\n\t\tfor(PlayerWealthDataAccumulator w : _wealthData.values()){\n\t\t\tw.average();\n\t\t}\n\t}","public void setMovingAverageSamples(int count)\n {\n NumAvgSamples = count;\n }"],"string":"[\n \"public double mean() {\\n double total = 0;\\n for (int i = 0; i < sites.length; i++) {\\n total += sites[i];\\n }\\n sampleMean = total / size / times;\\n return sampleMean;\\n }\",\n \"public double mean() {\\r\\n\\t\\treturn mean;\\r\\n\\t}\",\n \"public double mean() {\\n\\t\\treturn mean;\\n\\t}\",\n \"public double mean() {\\n\\t\\treturn mean;\\n\\t}\",\n \"public double getMean() \\r\\n\\t{\\r\\n\\t\\tlong tmp = lastSampleTime - firstSampleTime;\\r\\n\\t\\treturn ( tmp > 0 ? sumPowerOne / (double) tmp : 0);\\r\\n\\t}\",\n \"public double mean() {\\n return mean;\\n }\",\n \"public double mean() {\\n return StdStats.mean(stats);\\r\\n }\",\n \"public double sampleVarianceOfMean() {\\n\\t\\treturn sampleVariance() * getWeight();\\n\\t}\",\n \"public final double getMean()\\r\\n\\t{\\r\\n\\t\\treturn mean;\\r\\n\\t}\",\n \"public static double meanVal(int[] sample){\\n double total = 0;\\n for (int i = 0; i < sample.length; i++){\\n total = total + sample[i];\\n }\\n double mean = total/sample.length;\\n return mean;\\n }\",\n \"public Double getMean() {\\n return mean;\\n }\",\n \"public double mean()\\n {\\n return StdStats.mean(open);\\n// return StdStats.sum(open) / count;\\n }\",\n \"public double getMean() {\\n return mean;\\n }\",\n \"public void setMean(double mean) {\\n this.mean = mean;\\n }\",\n \"public double getMean(){\\n\\t\\treturn (double)sampleSize * type1Size / populationSize;\\n\\t}\",\n \"public double mean() { \\n return StdStats.mean(result);\\n\\n }\",\n \"public double mean() {\\n return StdStats.mean(fraction);\\n }\",\n \"public double mean() {\\n\\t\\tif (count() > 0) {\\n\\t\\t\\treturn _sum.get() / (double) count();\\n\\t\\t}\\n\\t\\treturn 0.0;\\n\\t}\",\n \"public T mean();\",\n \"private void PeriodMeanEvaluation () {\\n\\n float x = 0;\\n for(int i = 0; i < 3; i++)\\n {\\n for(int j = 0; j < numberOfSample; j++)\\n {\\n x = x + singleFrame[j][i];\\n }\\n meanOfPeriodCoord[i] = (x/numberOfSample);\\n x = 0;\\n }\\n }\",\n \"private static double meanVal(double[] arrayOfSamples){\\n\\t\\tdouble total = 0;\\n\\t\\t for (double i :arrayOfSamples){\\n\\t\\t \\ttotal += i;\\n\\t\\t }\\n\\t return total/arrayOfSamples.length;\\n\\t}\",\n \"public double mean() {\\n return StdStats.mean(openSites) / times;\\n }\",\n \"public double mean() {\\n return StdStats.mean(trialResult);\\n }\",\n \"public double mean() {\\n return StdStats.mean(perThreshold);\\n }\",\n \"public double mean() {\\n\\t\\treturn StdStats.mean(results); \\n\\t}\",\n \"public double mean() {\\n return mu;\\n }\",\n \"public double mean() {\\n/* 179 */ Preconditions.checkState((this.count != 0L));\\n/* 180 */ return this.mean;\\n/* */ }\",\n \"@Override\\n\\tpublic double mean() {\\n\\t\\treturn 0;\\n\\t}\",\n \"public double mean() {\\n\\t\\tint n = this.getAttCount();\\n\\t\\tif (n == 0) return Constants.UNUSED;\\n\\t\\t\\n\\t\\tdouble sum = 0;\\n\\t\\tfor (int i = 0; i < n; i++) {\\n\\t\\t\\tdouble v = this.getValueAsReal(i);\\n\\t\\t\\tsum += v;\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn sum / (double)n;\\n\\t}\",\n \"public String getMean()\\n {\\n return mean;\\n }\",\n \"public double mean() {\\n return StdStats.mean(results);\\n }\",\n \"@Override\\n\\tpublic double getMean() {\\n\\t\\treturn 1/this.lambda;\\n\\t}\",\n \"public double mean(){\\n return StdStats.mean(percentage);\\n }\",\n \"public double[] mean() {\\n\\t\\tdouble[] mean = null;\\n\\t\\tif(instances != null) {\\n\\t\\t\\tmean = new double[instances.get(0).length];\\n\\t\\t\\tfor(double[] instance : instances) {\\n\\t\\t\\t\\tfor(int d=0; d<mean.length; d++) {\\n\\t\\t\\t\\t\\tmean[d] += instance[d];\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\tdouble n = instances.size();\\n\\t\\t\\tfor(int d=0; d<mean.length; d++) {\\n\\t\\t\\t\\tmean[d] /= n;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn mean;\\n\\t}\",\n \"int nextSample(final double mean);\",\n \"public double mean() {\\n return StdStats.mean(this.openSites);\\n }\",\n \"public double getNoiseMean() {\\n\\t\\t\\treturn NOISE_MEAN;\\n\\t\\t}\",\n \"public double mean() {\\n return StdStats.mean(thresholds);\\n }\",\n \"public double mean() {\\n return StdStats.mean(thresholds);\\n }\",\n \"public double mean() {\\n\\t\\treturn StdStats.mean(threshold);\\n\\t}\",\n \"@Override\\n public Double average() {\\n return (sum() / (double) count());\\n }\",\n \"public double mean (List<? extends Number> a){\\n\\t\\tint sum = sum(a);\\n\\t\\tdouble mean = 0;\\n\\t\\tmean = sum / (a.size() * 1.0);\\n\\t\\treturn mean;\\n\\t}\",\n \"public double getMean(){\\n\\t\\treturn Math.exp(location + scale * scale / 2);\\n\\t}\",\n \"public double mean(double data[]) {\\r\\n\\t\\tdouble mean = 0;\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tfor(int i=0;i<data.length;i++) {\\r\\n\\t\\t\\t\\tmean =mean+data[i];\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tmean = mean / data.length;\\r\\n\\t\\t}\\r\\n\\t\\tcatch(Exception e) {\\r\\n\\t\\t\\tDataMaster.logger.warning(e.toString());\\r\\n\\t\\t\\t//e.printStackTrace();\\r\\n\\t\\t}\\r\\n\\t\\treturn mean;\\r\\n\\t}\",\n \"public double average(){\\r\\n\\t\\t//create variable to hold the values\\r\\n\\t\\tdouble average = 0;\\r\\n\\t\\t\\r\\n\\t\\tfor (int i = 0; i < this.data.length; i++){\\r\\n\\t\\t\\t//add current index\\r\\n\\t\\t\\taverage += this.data[i];\\r\\n\\t\\t\\t}\\r\\n\\t\\treturn (average/this.data.length);\\r\\n\\t}\",\n \"double avg(){\\n\\t\\tdouble sum = 0.0;\\n\\t\\tfor(int i=0;i<num.length;i++)\\n\\t\\t\\tsum+=num[i].doubleValue();\\n\\t\\treturn sum/num.length;\\n\\t}\",\n \"public double getXMean() {\\n\\t\\treturn xStats.mean();\\n\\t}\",\n \"@Override\\n\\tpublic double avg() {\\n\\t\\treturn total()/4.0;\\n\\t}\",\n \"private void updateMean() {\\r\\n double tmp = 0.0;\\r\\n for (Tweet t : members) {\\r\\n tmp += t.getDateLong();\\r\\n }\\r\\n tmp = tmp / (double) members.size();\\r\\n this.mean = tmp;\\r\\n }\",\n \"double getMeanPrice() {\\n List<Double> allPrices = new ArrayList<>();\\n\\n for (Firm firm : firms) {\\n List<Double> pricesOfFirm = firm.getPrices();\\n allPrices.addAll(pricesOfFirm.subList(pricesOfFirm.size() - SimulationManager.sizeOfExaminationInterval, pricesOfFirm.size()));\\n }\\n\\n return Calculation.round(Calculation.getMean(allPrices), 2);\\n }\",\n \"public static double mean(double[] x){\\n\\n //Declares and intializes mean and total to 0;\\n double mean = 0;\\n double total = 0;\\n\\n //Takes the total of all the numbers in every index\\n for(int i = 0; i < x.length; i++){\\n total += x[i];\\n }\\n //Divides total by 10\\n mean = total / 10;\\n\\n //returns mean\\n return mean;\\n\\n }\",\n \"public double arithmeticalMean(double[] arr) {\\n return 0;\\n }\",\n \"public double average(){\\n double avg = 0;\\n double sum = 0;\\n for (T t : arr) {\\n // sum += t.doubleValue();\\n }\\n\\n return sum / arr.length;\\n }\",\n \"private void calculateMean(float total){\\r\\n float averageBonds = total/accountInTotal;\\r\\n float averageAER = (averageBonds-startingBonds)/(startingBonds/100);\\r\\n\\r\\n Account averageAccount = new Account(startingBonds,averageBonds,averageAER);\\r\\n System.out.println(averageAccount.toString());\\r\\n\\r\\n }\",\n \"double getMeanQuantity() {\\n ArrayList<Double> allQuantities = new ArrayList<>();\\n\\n for (Firm firm : firms) {\\n List<Double> quantitiesOfFirm = firm.getQuantities();\\n allQuantities.addAll(quantitiesOfFirm.subList(quantitiesOfFirm.size() - SimulationManager.sizeOfExaminationInterval, quantitiesOfFirm.size()));\\n }\\n\\n return Calculation.round(Calculation.getMean(allQuantities), 2);\\n }\",\n \"public double getMeanSquare() {\\n return sumQ / count;\\n }\",\n \"public double getMean() {\\n double timeWeightedSum = 0;\\n\\n for (int i = 0; i < accumulate.size() - 1; i++) {\\n timeWeightedSum += accumulate.get(i).value\\n * (accumulate.get(i + 1).timeOfChange\\n - accumulate.get(i).timeOfChange);\\n\\n }\\n LOG_HANDLER.logger.finer(\\\"timeWeightedSum Value: \\\" + timeWeightedSum\\n + \\\"totalOfQuueueEntries: \\\" + totalOfQueueEntries);\\n return timeWeightedSum / totalOfQueueEntries;\\n }\",\n \"public void showAverage() {\\n System.out.println(\\\"Average: \\\" + createStream().average());\\n }\",\n \"public double average() {\\n return average(0.0);\\n }\",\n \"public double getAverage(){\\r\\n\\t\\tdouble sum=0;\\r\\n\\t\\tfor(Iterator<T> it=this.iterator();it.hasNext();){\\r\\n\\t\\t\\tsum+=it.next().doubleValue();\\r\\n\\t\\t}\\r\\n\\t\\treturn sum/this.size();\\r\\n\\t}\",\n \"public static double meanOf(Iterable<? extends Number> values) {\\n/* 393 */ return meanOf(values.iterator());\\n/* */ }\",\n \"public void average() {\\n\\t\\tif (averaged)\\n\\t\\t\\tthrow new AssertionError(\\\"can't average twice!!\\\");\\n\\t\\t\\n\\t\\tscale = 1.0/(double)t;\\n\\t\\t\\n\\t\\tfor (int i = 0; i < w.length; i++)\\n\\t\\t\\tw[i] = (t+1.0)*w[i] - wupdates[i];\\n\\t\\t\\n\\t\\taveraged = true;\\n\\t\\n\\t}\",\n \"private double[] mean(Population pop) {\\n double[] value = new double[pop.getIndividual(0).getNumGenes()];\\n //for all individuals\\n Iterator<Individual> it = pop.getIterator();\\n while (it.hasNext()) {\\n Individual ind = it.next();\\n //sum the value of the gene\\n for (int i = 0; i < value.length; i++) {\\n value[i] += ind.getGeneValue(i);\\n }\\n }\\n //divide by the number of individuals\\n double factor = 1.0 / pop.getNumGenotypes();\\n for (int i = 0; i < value.length; i++) {\\n value[i] *=factor;\\n }\\n return value;\\n }\",\n \"private int getMean(int[] times) {\\n\\n\\t\\t//Initialise mean and sum to 0\\n\\t\\tint mean = 0;\\n\\t\\tint sum = 0;\\n\\n\\t\\t//Loop through all the times\\n\\t\\tfor (int i = 0; i < times.length; i++) {\\n\\n\\t\\t\\t//Add to the sum\\n\\t\\t\\tsum += times[i];\\n\\t\\t}\\n\\n\\t\\t//Calculate and return the mean\\n\\t\\tmean = sum/times.length;\\n\\t\\treturn mean;\\n\\t}\",\n \"public static double meanOf(double... values) {\\n/* 433 */ Preconditions.checkArgument((values.length > 0));\\n/* 434 */ double mean = values[0];\\n/* 435 */ for (int index = 1; index < values.length; index++) {\\n/* 436 */ double value = values[index];\\n/* 437 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\\n/* */ \\n/* 439 */ mean += (value - mean) / (index + 1);\\n/* */ } else {\\n/* 441 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\\n/* */ } \\n/* */ } \\n/* 444 */ return mean;\\n/* */ }\",\n \"private Double getMean(Double[] values) {\\n double sum = 0;\\n int count = 0;\\n for (Double d: values) {\\n if (d != null) {\\n sum += d;\\n ++count;\\n }\\n }\\n return count == 0 ? null : (sum / count);\\n }\",\n \"public void getAvg()\\n {\\n this.avg = sum/intData.length;\\n }\",\n \"double average();\",\n \"public double getAverage(){\\n return getTotal()/array.length;\\n }\",\n \"public static double meanOf(Iterator<? extends Number> values) {\\n/* 407 */ Preconditions.checkArgument(values.hasNext());\\n/* 408 */ long count = 1L;\\n/* 409 */ double mean = ((Number)values.next()).doubleValue();\\n/* 410 */ while (values.hasNext()) {\\n/* 411 */ double value = ((Number)values.next()).doubleValue();\\n/* 412 */ count++;\\n/* 413 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\\n/* */ \\n/* 415 */ mean += (value - mean) / count; continue;\\n/* */ } \\n/* 417 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\\n/* */ } \\n/* */ \\n/* 420 */ return mean;\\n/* */ }\",\n \"public synchronized double getAverage() {\\n return average;\\n }\",\n \"public Quantity<Q> getAverage(Unit<Q> unit) {\\n return average.to(unit);\\n }\",\n \"public static double meanOf(int... values) {\\n/* 457 */ Preconditions.checkArgument((values.length > 0));\\n/* 458 */ double mean = values[0];\\n/* 459 */ for (int index = 1; index < values.length; index++) {\\n/* 460 */ double value = values[index];\\n/* 461 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\\n/* */ \\n/* 463 */ mean += (value - mean) / (index + 1);\\n/* */ } else {\\n/* 465 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\\n/* */ } \\n/* */ } \\n/* 468 */ return mean;\\n/* */ }\",\n \"@Override\\n\\tpublic int avg() {\\n\\t\\treturn (this.sum()/3);\\n\\t}\",\n \"public double populationMean()\\n\\t{\\n\\t\\treturn null == _distPopulation ? java.lang.Double.NaN : _distPopulation.mean();\\n\\t}\",\n \"public static Double mean(ArrayList<Double> values) {\\n\\t\\tDouble total = 0.0;\\n\\t\\t// iterate through the values and add to the total\\n\\t\\tfor (int i = 0; i < values.size(); i++) {\\n\\t\\t\\ttotal += values.get(i);\\n\\t\\t}\\n\\t\\t// return the total devided by the number of values\\n\\t\\treturn total / values.size();\\n\\t}\",\n \"private List<Double> sumMeanX(List<Business> business, double avg) {\\n\\t\\tList<Double> sumMean = new ArrayList<Double>();\\n\\n\\t\\tfor (Business biz : business) {\\n\\t\\t\\tint price = biz.getPrice();\\n\\t\\t\\tsumMean.add(price - avg);\\n\\t\\t}\\n\\t\\treturn sumMean;\\n\\t}\",\n \"public float getMean() {\\r\\n int sum = getSum(rbt.root);\\r\\n float mean = sum / rbt.size();\\r\\n return mean;\\r\\n }\",\n \"public double getAvg(){\\n double avg=0;\\n for(int x=0; x<max; x++){\\n avg=avg+times[x];\\n }\\n avg=avg/max;\\n return avg;\\n }\",\n \"public double varianceOfMean() {\\n\\t\\treturn variance() * getWeight();\\n\\t}\",\n \"public double getAverage() {\\n return this.average;\\n }\",\n \"public double average() {\\n double average = 0;\\n for (int i = 0; i < studentList.size(); i++) {\\n Student student = studentList.get(i);\\n average += student.average();\\n }\\n average /= studentList.size();\\n return average;\\n }\",\n \"public void addSample( final double value ) {\\n\\t\\tfinal double weight = getWeight( ++_population );\\n\\t\\t_mean = weight * value + ( 1 - weight ) * _mean;\\n\\t\\t_meanSquare = weight * value * value + ( 1 - weight ) * _meanSquare;\\n\\t}\",\n \"public double getAverage()\\n {\\n return getSum() / 2.0;\\n }\",\n \"private float calculateMean()\\n { \\n int numberEmployees = employees.size();\\n float total = 0, meanGrossPay = 0;\\n // Create an array of all gross pays\\n float[] allGrossPay = new float[numberEmployees];\\n \\n // Call method to return an array of float containing all gross pays\\n allGrossPay = calculateAllGrossPay();\\n // Find total gross pay\\n for (int i = 0; i < numberEmployees; i++)\\n {\\n total += allGrossPay[i];\\n }\\n // Find mean and return it\\n if (numberEmployees > 0)\\n {\\n meanGrossPay = total/numberEmployees;\\n \\n }\\n return meanGrossPay;\\n }\",\n \"public MeanVar(double value) {\\n\\t\\taddValue(value);\\n\\t}\",\n \"public MeanVar(double[] data) {\\n\\t\\tfor (int i = 0; i < data.length; i++)\\n\\t\\t\\taddValue(data[i]);\\n\\t}\",\n \"public DMatrixRMaj getMean() {\\n\\t\\treturn x;\\n\\t}\",\n \"public double mean() {\\n\\t\\tdouble totalPercolationThershold = 0d;\\n\\t\\tfor(double openedSite : openedSites){\\n\\t\\t\\ttotalPercolationThershold+= (double)(openedSite);\\n\\t\\t}\\n\\t\\treturn (totalPercolationThershold/trails);\\n\\t}\",\n \"public static float mean(float[] v) {\\n\\t\\tfloat sum = 0;\\n\\t\\tint count = 0;\\n\\t\\tfor (float value : v) {\\n\\t\\t\\tif (Util.isUsed(value)) {\\n\\t\\t\\t\\tsum += value;\\n\\t\\t\\t\\tcount ++;\\n\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn sum / (float)count;\\n\\t}\",\n \"public double geoMean() {\\n\\t\\tint product = 1;\\n\\t\\tfor (Animal a : animals) {\\n\\t\\t\\tproduct *= a.getSize();\\n\\t\\t}\\n\\t\\treturn Math.pow(product, 1.0 / animals.size());\\n\\t}\",\n \"public static float getMean(float[] weatherArray){\\n float mean = getTotal(weatherArray)/weatherArray.length;\\n return mean;\\n }\",\n \"void changeMean(double a) {\\n mean = mean + (buffer - mean) * a;\\n }\",\n \"public double mean() {\\n double resultat = 0;\\n for (int i = 0; i < tab.size(); i++) {\\n for (int j = 0; j < tab.get(i).size(); j++) {\\n resultat += Double.parseDouble(tab.get(i).get(j));\\n }\\n }\\n resultat = (resultat / (tab.size() + tab.get(0).size() - 1));\\n System.out.println(\\\"Mean colonne:\\\" + resultat);\\n return resultat;\\n }\",\n \"public float getAverage(){\\r\\n\\t\\treturn Average;\\r\\n\\t}\",\n \"private double getAvg() {\\n\\n double sum = 0;\\n\\n for (Map.Entry<Integer, Double> entry : values.entrySet()) {\\n sum += entry.getValue();\\n }\\n\\n if (values.size() > 0) {\\n return sum / values.size();\\n } else {\\n throw new IllegalStateException(\\\"no values\\\");\\n }\\n }\",\n \"public static double findMean(ArrayList<Integer> arr) {\\n\\t\\tint length = arr.size();\\n\\t\\tint sum = 0;\\n\\t\\tfor(int i : arr) { sum += i; }\\n\\t\\treturn (double)sum/length;\\n\\t}\",\n \"public void setMeanAnamoly(double value) {\\n this.meanAnamoly = value;\\n }\",\n \"public void average(){\\n\\t\\tfor(PlayerWealthDataAccumulator w : _wealthData.values()){\\n\\t\\t\\tw.average();\\n\\t\\t}\\n\\t}\",\n \"public void setMovingAverageSamples(int count)\\n {\\n NumAvgSamples = count;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7463143","0.72188044","0.71837693","0.71837693","0.71716744","0.71409225","0.70390004","0.7015413","0.6967397","0.6951795","0.6949215","0.6930485","0.69242525","0.68493843","0.68419594","0.68400085","0.6834142","0.68331766","0.679127","0.6757434","0.67530155","0.67400056","0.6669648","0.66572464","0.6653602","0.66361254","0.66304564","0.6626191","0.66060925","0.6597413","0.6568741","0.65686315","0.65540725","0.64964205","0.64688194","0.6463906","0.6453068","0.64189774","0.64189774","0.64171815","0.6382354","0.63700795","0.6336814","0.62668866","0.6211435","0.61814123","0.6151642","0.6109931","0.6104459","0.6096224","0.60893077","0.60583127","0.6057924","0.6053206","0.60461026","0.604591","0.6032597","0.6025505","0.5993745","0.5983533","0.5967148","0.5954967","0.5954377","0.5948855","0.59430116","0.5942622","0.5929552","0.59192246","0.5891112","0.5886223","0.5878422","0.58495194","0.58431005","0.5822931","0.58222455","0.5820088","0.58198386","0.58012915","0.57933825","0.57927555","0.57890344","0.5780722","0.5769899","0.57658446","0.57591075","0.57579565","0.57497776","0.57373047","0.57325923","0.57151806","0.5701433","0.569087","0.5685777","0.56824034","0.5677997","0.56771296","0.5664083","0.56491977","0.56440854","0.56368285"],"string":"[\n \"0.7463143\",\n \"0.72188044\",\n \"0.71837693\",\n \"0.71837693\",\n \"0.71716744\",\n \"0.71409225\",\n \"0.70390004\",\n \"0.7015413\",\n \"0.6967397\",\n \"0.6951795\",\n \"0.6949215\",\n \"0.6930485\",\n \"0.69242525\",\n \"0.68493843\",\n \"0.68419594\",\n \"0.68400085\",\n \"0.6834142\",\n \"0.68331766\",\n \"0.679127\",\n \"0.6757434\",\n \"0.67530155\",\n \"0.67400056\",\n \"0.6669648\",\n \"0.66572464\",\n \"0.6653602\",\n \"0.66361254\",\n \"0.66304564\",\n \"0.6626191\",\n \"0.66060925\",\n \"0.6597413\",\n \"0.6568741\",\n \"0.65686315\",\n \"0.65540725\",\n \"0.64964205\",\n \"0.64688194\",\n \"0.6463906\",\n \"0.6453068\",\n \"0.64189774\",\n \"0.64189774\",\n \"0.64171815\",\n \"0.6382354\",\n \"0.63700795\",\n \"0.6336814\",\n \"0.62668866\",\n \"0.6211435\",\n \"0.61814123\",\n \"0.6151642\",\n \"0.6109931\",\n \"0.6104459\",\n \"0.6096224\",\n \"0.60893077\",\n \"0.60583127\",\n \"0.6057924\",\n \"0.6053206\",\n \"0.60461026\",\n \"0.604591\",\n \"0.6032597\",\n \"0.6025505\",\n \"0.5993745\",\n \"0.5983533\",\n \"0.5967148\",\n \"0.5954967\",\n \"0.5954377\",\n \"0.5948855\",\n \"0.59430116\",\n \"0.5942622\",\n \"0.5929552\",\n \"0.59192246\",\n \"0.5891112\",\n \"0.5886223\",\n \"0.5878422\",\n \"0.58495194\",\n \"0.58431005\",\n \"0.5822931\",\n \"0.58222455\",\n \"0.5820088\",\n \"0.58198386\",\n \"0.58012915\",\n \"0.57933825\",\n \"0.57927555\",\n \"0.57890344\",\n \"0.5780722\",\n \"0.5769899\",\n \"0.57658446\",\n \"0.57591075\",\n \"0.57579565\",\n \"0.57497776\",\n \"0.57373047\",\n \"0.57325923\",\n \"0.57151806\",\n \"0.5701433\",\n \"0.569087\",\n \"0.5685777\",\n \"0.56824034\",\n \"0.5677997\",\n \"0.56771296\",\n \"0.5664083\",\n \"0.56491977\",\n \"0.56440854\",\n \"0.56368285\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.69534713"},"document_rank":{"kind":"string","value":"9"}}},{"rowIdx":19786,"cells":{"query":{"kind":"string","value":"Variance of the series w.r.t. a known mean."},"document":{"kind":"string","value":"public double variance(double m)\n {\n double var = 0.0;\n \n for(int t = 0; t<size; t++)\n {\n double dev = x[t] - m;\n var += dev*dev;\n }\n return var/size;\n }"},"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 static double varianceVal(double[] arrayOfSamples, double mean){\n\t double v = 0;\n\t for(double i :arrayOfSamples)\n\t v += Math.pow((mean-i), 2);\n\t return v / arrayOfSamples.length;\n\t}","public double varianceOfMean() {\n\t\treturn variance() * getWeight();\n\t}","public double variance()\n {\n return variance(mean());\n }","public double sampleVarianceOfMean() {\n\t\treturn sampleVariance() * getWeight();\n\t}","public double getVariance()\r\n\t{\r\n\t\tlong tmp = lastSampleTime - firstSampleTime;\r\n\t\treturn ( tmp > 0 ? (sumPowerTwo/tmp - getMean()*getMean()) : 0);\r\n\t}","public double variance() {\n final double average = average();\n final int size = size();\n\n int cnt = 0;\n double rval = 0;\n\n // Compute the variance\n for (int i = 0; i < size; i++) {\n final Number number = get(i);\n if (number == null) continue;\n if (Double.isNaN(number.doubleValue())) continue;\n\n rval += (average - number.doubleValue()) * (average - number.doubleValue());\n cnt++;\n }\n\n // If we haven't had any element, return 0\n if (cnt == 0) return 0;\n\n return rval / cnt;\n }","public Double getVariance() {\n return variance;\n }","public double sampleVariance() {\n/* 262 */ Preconditions.checkState((this.count > 1L));\n/* 263 */ if (Double.isNaN(this.sumOfSquaresOfDeltas)) {\n/* 264 */ return Double.NaN;\n/* */ }\n/* 266 */ return DoubleUtils.ensureNonNegative(this.sumOfSquaresOfDeltas) / (this.count - 1L);\n/* */ }","public double getVariance(){\n\t\treturn (double)sampleSize * type1Size * (populationSize - type1Size) *\n\t\t\t(populationSize - sampleSize) / ( populationSize * populationSize * (populationSize - 1));\n\t}","public static Double computeVariance(final Double[] values,\n\t\t\tfinal Double mean) {\n\t\treturn computeVariance(values, 0, values.length, mean);\n\t}","public double getVariance(){\n\t\tdouble a = location + scale * scale;\n\t\treturn Math.exp(2 * a) - Math.exp(location + a);\n\t}","private double[] varianceArray(){\n\t\tdouble[] varianceVals = new double[values.length];\n\t\tfor(int i = 0; i < values.length; i++){\n\t\t\tvarianceVals[i] = Math.pow(values[i] - mean , 2.0);\n\t\t}\n\t\treturn varianceVals;\n\t}","public double empiricalVariance()\n\t{\n\t\treturn _dblEmpiricalVariance;\n\t}","private void updateVariance() {\r\n double variance = 0.0;\r\n updateMean();\r\n for (Tweet t : members) {\r\n variance += ((t.getDateLong() - this.mean) * (t.getDateLong() - this.mean));\r\n }\r\n variance /= members.size();\r\n this.variance = variance;\r\n }","public double populationVariance() {\n/* 215 */ Preconditions.checkState((this.count > 0L));\n/* 216 */ if (Double.isNaN(this.sumOfSquaresOfDeltas)) {\n/* 217 */ return Double.NaN;\n/* */ }\n/* 219 */ if (this.count == 1L) {\n/* 220 */ return 0.0D;\n/* */ }\n/* 222 */ return DoubleUtils.ensureNonNegative(this.sumOfSquaresOfDeltas) / count();\n/* */ }","public static Double computeVariance(final Double[] values, int offset,\n\t\t\tfinal int number, final Double mean) {\n\t\tif (number < 2) {\n\t\t\tthrow new IllegalArgumentException(\n\t\t\t\t\t\"The number of values to process must be two or larger.\");\n\t\t}\n\t\tDouble sum = 0.0;\n\t\tfinal int UNTIL = offset + number;\n\t\tdo {\n\t\t\tDouble diff = values[offset++] - mean;\n\t\t\tsum += diff * diff;\n\t\t} while (offset != UNTIL);\n\t\treturn sum / (number - 1);\n\t}","private int getVariance (int[] times) {\n\n\t\t//Get the mean time of all the vehicles\n\t\tint mean = getMean(times);\n\t\t//Variable to store the sum of squares\n\t\tint sumOfSquares = 0;\n\n\t\t//Loop through all times in the array\n\t\tfor (int i = 0; i < times.length; i++) {\n\n\t\t\t//Calculate the sum of squares\n\t\t\tsumOfSquares += Math.pow((times[i] - mean), 2);\n\t\t}\n\n\t\t//Calculate and return the variance \n\t\tint variance = sumOfSquares/times.length;\n\t\treturn variance;\n\t}","public double var() {\n\t\tint n = this.getAttCount();\n\t\tif (n < 2) return Constants.UNUSED;\n\n\t\tdouble mean = mean();\n\t\tdouble sum = 0;\n\t\tfor (int i = 0; i < n; i++) {\n\t\t\tdouble v = this.getValueAsReal(i);\n\t\t\tdouble deviation = v - mean;\n\t\t\tsum += deviation * deviation;\n\t\t}\n\t\treturn sum / (double)(n - 1);\n\t}","public static Double computeVariance(final Double[] values) {\n\t\treturn computeVariance(values, 0, values.length);\n\t}","protected void setVariance(double value) {\n\t variance = value;\n\t}","protected void setVariance(double value) {\n\t variance = value;\n\t}","private double computeVariance(Queue<Integer> q, int maxLength){ \n if(q.size() < maxLength-1) return Double.NaN; //we dont have a full queue yet, so dont output a valid variance\n Queue<Integer> q_tmp=new LinkedList(q);\n int sum = 0;\n int n=q.size();\n while(q_tmp.size()>0){\n sum = sum + q_tmp.remove();\n }\n double mean= sum/n;\n double vsum = 0;\n q_tmp=new LinkedList(q); // NB you have to do this to copy the queue and not just make a reference to it\n while(q_tmp.size()>0){\n int k = q_tmp.remove();\n vsum = vsum + Math.pow(k-mean,2);\n }\n return vsum/(n-1);\n }","public double stdDev() {\n\t\tif (count() > 0) {\n\t\t\treturn sqrt(variance());\n\t\t}\n\t\treturn 0.0;\n\t}","public double populationVariance()\n\t{\n\t\treturn null == _distPopulation ? java.lang.Double.NaN : _distPopulation.variance();\n\t}","public double sampleStandardDeviation() {\n/* 288 */ return Math.sqrt(sampleVariance());\n/* */ }","public double std(double data[], double mean) {\r\n\t\tdouble std = 0;\r\n\t\ttry {\r\n\t\t\tfor(int i=0;i<data.length;i++) {\r\n\t\t\t\tstd =std+((data[i]-mean)*(data[i]-mean));\r\n\t\t\t}\r\n\t\t\tstd = Math.sqrt(std / (data.length-1));\r\n\t\t}\r\n\t\tcatch(Exception e) {\r\n\t\t\tDataMaster.logger.warning(e.toString());\r\n\t\t\t//e.printStackTrace();\r\n\t\t}\r\n\t\treturn std;\r\n\t}","public static double calculateVariance(double[][] targetVariables) {\r\n double[][] mean = FindPrototype.findOptimalPrototype(targetVariables);\r\n\r\n int N = targetVariables.length;\r\n\r\n double numerator = 0;\r\n\r\n for (int i = 0; i < N; i++) {\r\n numerator += EuclideanDistance.calculateEuclideanDistance(Gets.getRowFromMatix(i, targetVariables), mean);\r\n }\r\n \r\n if (N - 1 == 0) {\r\n return 0;\r\n } else {\r\n return numerator / (N - 1);\r\n }\r\n }","public double getDefaultVariance()\n {\n return this.defaultVariance;\n }","public double standarddeviation() {\n return Math.sqrt(variance());\n }","private void updateMuVariance() {\n\t\tmu = train.getLocalMean(); \n\t\tsigma = train.getLocalVariance(); \n\t\t\n\t\t/*\n\t\t * If the ratio of data variance between dimensions is too small, it \n\t\t * will cause numerical errors. To address this, we artificially boost\n\t\t * the variance by epsilon, a small fraction of the standard deviation\n\t\t * of the largest dimension. \n\t\t * */\n\t\tupdateEpsilon(); \n\t\tsigma = MathUtils.add(sigma, epsilon); \n\t\t\n\t}","public double mean() {\n return StdStats.mean(stats);\r\n }","private void updateVarianceOfPrediction(int sensor_id){\n\t\t\n\t\tdouble N = current_sensor_readings[sensor_id] - predicted_sensor_readings[sensor_id][0];\n\t\tif(round_number==0){\n\t\t\t\n\t\t\tsigma[sensor_id] = N * N;\n\t\t\t\n\t\t}else if(round_number<=K){\n\t\t\t\n\t\t\tsigma[sensor_id] = (((round_number-1)*sigma[sensor_id]) + (N * N))/(round_number);\n\t\t\t\n\t\t}else{\n\t\t\t\n\t\t\tsigma[sensor_id] = (1-gamma)*sigma[sensor_id] + gamma * N * N;\n\t\t}\n\t}","private void updateVariance(long value) {\n\t\tif (!varianceM.compareAndSet(-1, doubleToLongBits(value))) {\n\t\t\tboolean done = false;\n\t\t\twhile (!done) {\n\t\t\t\tfinal long oldMCas = varianceM.get();\n\t\t\t\tfinal double oldM = longBitsToDouble(oldMCas);\n\t\t\t\tfinal double newM = oldM + ((value - oldM) / count());\n\n\t\t\t\tfinal long oldSCas = varianceS.get();\n\t\t\t\tfinal double oldS = longBitsToDouble(oldSCas);\n\t\t\t\tfinal double newS = oldS + ((value - oldM) * (value - newM));\n\n\t\t\t\tdone = varianceM.compareAndSet(oldMCas, doubleToLongBits(newM)) &&\n\t\t\t\t\t\tvarianceS.compareAndSet(oldSCas, doubleToLongBits(newS));\n\t\t\t}\n\t\t}\n\t}","protected MeanVar(int n, double mean, double s) {\n\t\tthis.n = n;\n\t\tthis.mean = mean;\n\t\tthis.s = s;\n\t}","public double stddev() {\n\t\tdouble sum = 0;\n\t\tdouble mean = mean();\n\t\tfor(int i = 0; i<myData.length;i++)\n\t\t\tsum+=(myData[i]-mean)*(myData[i]-mean);\n\t\treturn (double) Math.sqrt(sum/(myData.length-1));\n\t}","public double mean() {\r\n\t\treturn mean;\r\n\t}","public double varianceBackcast()\n {\n double unconditionalVariance = variance(0.0);\n // why do they compute the unconditional variance if they don't\n // use it afterwards?\n \n double lambda = .7;\n double sigsum = 0.0;\n for(int t = 0; t<size; t++)\n sigsum += Math.pow(lambda, size - t - 1.0)*getSqrQuote(size - t);\n \n // This doesn't make sense to me...\n // looks like a convex hull of sigsum and something else,\n // except lambda is raised to the n-th power...\n return Math.pow(lambda, size) + (1.0 - lambda)*sigsum;\n }","public double mean() {\n\t\treturn mean;\n\t}","public double mean() {\n\t\treturn mean;\n\t}","public MeanVar(double value) {\n\t\taddValue(value);\n\t}","public static float getVariance(ArrayList<StatisticClass> classes, float[] classMiddles, float arithmeticMiddle,\n\t\t\tint sampleSize)\n\t{\n\t\tfloat result;\n\t\tfloat sigmaResult = 0;\n\n\t\tfor (int i = 0; i < classes.size(); i++)\n\t\t{\n\n\t\t\tfloat absOccurence = classes.get(i).getAbsoluteOccurences();\n\t\t\tfloat classMiddle = classMiddles[i];\n\n\t\t\tsigmaResult += absOccurence * Math.pow((classMiddle - arithmeticMiddle), 2);\n\n\t\t}\n\n\t\tresult = sigmaResult / (sampleSize - 1);\n\t\treturn result;\n\t}","public double mean() { \n return StdStats.mean(result);\n\n }","private static double meanVal(double[] arrayOfSamples){\n\t\tdouble total = 0;\n\t\t for (double i :arrayOfSamples){\n\t\t \ttotal += i;\n\t\t }\n\t return total/arrayOfSamples.length;\n\t}","public Duration getStartVariance()\r\n {\r\n return (m_startVariance);\r\n }","public double mean() {\n return mean;\n }","public T mean();","public double populationStandardDeviation() {\n/* 242 */ return Math.sqrt(populationVariance());\n/* */ }","public double varianceExponent()\n\t{\n\t\treturn _dblVarianceExponent;\n\t}","public double mean() {\n return StdStats.mean(fraction);\n }","public static double meanVal(int[] sample){\n double total = 0;\n for (int i = 0; i < sample.length; i++){\n total = total + sample[i];\n }\n double mean = total/sample.length;\n return mean;\n }","double average();","double getVariation();","public final double getMean()\r\n\t{\r\n\t\treturn mean;\r\n\t}","public MeanVar(double[] data) {\n\t\tfor (int i = 0; i < data.length; i++)\n\t\t\taddValue(data[i]);\n\t}","public double mean(){\n return StdStats.mean(percentage);\n }","public void setMean(double mean) {\n this.mean = mean;\n }","public double sd() {\n\t\treturn Math.sqrt(var());\n\t}","public double stddev() {\n double sum = sampleMean;\n sum = 0;\n for (int i = 0; i < sites.length; i++) {\n// sum += (Double.parseDouble(sites[i] + \"\") / size - sampleMean) \n// * (Double.parseDouble(sites[i] + \"\") / size - sampleMean);\n sum += (sites[i]/size - sampleMean) \n * (sites[i]/size - sampleMean);\n }\n sampleStanDevi = Math.sqrt(sum / (times - 1));\n return sampleStanDevi;\n }","@Override\n\tpublic int avg() {\n\t\treturn (this.sum()/3);\n\t}","public void StandardDeviation(){\r\n\t\tAverage();\r\n\t\tif (count<=1){\r\n\t\t\tSystem.out.println(\"The Standard Deviation is \"+0.0);\r\n\t\t}\r\n\t\telse {\r\n\t\t\tStandardDeviation=(float)Math.sqrt((Total2-Total*Total/count)/(count-1));\r\n\t\t}\r\n\t}","public Double getMean() {\n return mean;\n }","double avg(){\n\t\tdouble sum = 0.0;\n\t\tfor(int i=0;i<num.length;i++)\n\t\t\tsum+=num[i].doubleValue();\n\t\treturn sum/num.length;\n\t}","public double mean() {\n double total = 0;\n for (int i = 0; i < sites.length; i++) {\n total += sites[i];\n }\n sampleMean = total / size / times;\n return sampleMean;\n }","public double mean() {\n\t\treturn StdStats.mean(results); \n\t}","public double stddev(){\n return StdStats.stddev(percentage);\n }","public double getMean() {\n return mean;\n }","protected double sigma(Vector3 v) {\n double c1, c2;\n switch (dominantAxis) {\n case X:\n c1 = v.y;\n c2 = v.z;\n break;\n case Y:\n c1 = v.x;\n c2 = v.z;\n break;\n case Z:\n c1 = v.x;\n c2 = v.y;\n break;\n default:\n return -1;\n }\n\n return Math.sqrt(c1 * c1 + c2 * c2);\n }","public double getAverage(){\n return getTotal()/array.length;\n }","public static void avevar(final double[] data, final $double ave, final $double var) {\n double s, ep;\r\n int j, n = data.length;\r\n ave.$(0.0);\r\n for (j = 0; j < n; j++)\r\n ave.$(ave.$() + data[j]);\r\n ave.$(ave.$() / n);\r\n var.$(ep = 0.0);\r\n for (j = 0; j < n; j++) {\r\n s = data[j] - ave.$();\r\n ep += s;\r\n var.$(var.$() + (s * s));\r\n }\r\n var.$((var.$() - ep * ep / n) / (n - 1)); // Corrected two-pass\r\n // formula (14.1.8).\r\n }","public double average(){\n double avg = 0;\n double sum = 0;\n for (T t : arr) {\n // sum += t.doubleValue();\n }\n\n return sum / arr.length;\n }","public double mean() {\n return StdStats.mean(perThreshold);\n }","public double averageVolume() {\n if (numberOfIcosahedrons() == 0) {\n return 0;\n }\n else {\n return totalVolume() / numberOfIcosahedrons();\n }\n }","public double average(){\r\n\t\t//create variable to hold the values\r\n\t\tdouble average = 0;\r\n\t\t\r\n\t\tfor (int i = 0; i < this.data.length; i++){\r\n\t\t\t//add current index\r\n\t\t\taverage += this.data[i];\r\n\t\t\t}\r\n\t\treturn (average/this.data.length);\r\n\t}","public double mean()\n {\n double sum = 0.0;\n for(int t = 0; t<size; t++)\n sum += x[t];\n return sum/size;\n }","@Override\n\tpublic double mean() {\n\t\treturn 0;\n\t}","public double getMean(){\n\t\treturn (double)sampleSize * type1Size / populationSize;\n\t}","public double mean() {\n return StdStats.mean(results);\n }","public GetVarianceArray() {\n\t\tsuper(\"GET_VARIANCE_ARRAY\", Wetrn.WETRN, AppGlobalUnitAdjustment.APP_GLOBAL_UNIT_ADJUSTMENT, org.jooq.impl.DefaultDataType.getDefaultDataType(\"TABLE\"));\n\n\t\tsetReturnParameter(RETURN_VALUE);\n\t\taddInParameter(P_VEHICLE_IDS);\n\t\taddInParameter(P_VARIANCE);\n\t}","public double mean() {\n return StdStats.mean(trialResult);\n }","public float getAverage(){\r\n\t\treturn Average;\r\n\t}","public double getNoiseMean() {\n\t\t\treturn NOISE_MEAN;\n\t\t}","public double stddev() { \n return StdStats.stddev(result);\n }","public static double getVarience(double[] dataArray) {\n\t\t\n\t\tdouble varience = 0.0;\n\t\tdouble average = getAverage(dataArray);\n\t\t\n\t\tfor (int i = 0; i <dataArray.length; i++) {\n\t\t\tvarience += Math.pow((dataArray[i]- average),2);\n\t\t}\n\t\t\n\t\tvarience = varience/dataArray.length;\n\t\treturn varience;\n\t}","public void getAvg()\n {\n this.avg = sum/intData.length;\n }","public static double standardDeviation(double[] x, double mean){\n \n //Goes through all the numbers of the array, doubles them, and assigns them into the index\n for ( int i =0; i < x.length; i++){\n double addedNumbers = Math.pow(x[i] - mean, 2);\n\n x[i] = addedNumbers;\n }\n\n //Declares y variable and initializes it to 0\n double total = 0;\n\n //goes through all the numbers and adds them to a total\n for(int j =0; j < x.length; j++){\n total += x[j];\n }\n\n //Divides the total then gets the squareRoot\n double squareRoot = total / 9 ;\n double SD = Math.sqrt(squareRoot);\n \n //Returns the standard deviation\n return SD;\n\n }","public void setPVariance(String value) {\n\t\tsetValue(P_VARIANCE, value);\n\t}","public double stddev() {\n\t\tif (experiments == 1)\n\t\t\treturn Double.NaN;\n\t\treturn stddev;\n\t}","public void setMeanAnamoly(double value) {\n this.meanAnamoly = value;\n }","public void calc_mean_covariance (double[][] range, double[] mean, double[][] covariance) {\n\n\t\t// Calculate means and variances\n\n\t\tfor (int n = 0; n < n_vars; ++n) {\n\n\t\t\tdouble mean_acc = 0.0;\n\t\t\tfor (int i = 0; i < n_values[n]; ++i) {\n\t\t\t\tmean_acc += (range[n][i] * marginal_probability[n][i]);\n\t\t\t}\n\t\t\tmean_acc = mean_acc / total_probability;\n\t\t\tmean[n] = mean_acc;\n\n\t\t\tdouble var_acc = 0.0;\n\t\t\tfor (int i = 0; i < n_values[n]; ++i) {\n\t\t\t\tdouble dev = range[n][i] - mean_acc;\n\t\t\t\tvar_acc += (dev * dev * marginal_probability[n][i]);\n\t\t\t}\n\t\t\tcovariance[n][n] = var_acc / total_probability;\n\t\t}\n\n\t\t// Calculate covariances\n\n\t\tfor (int n1 = 0; n1 < n_vars; ++n1) {\n\t\t\tfor (int n2 = 0; n2 < n_vars; ++n2) {\n\t\t\t\tif (n1 < n2) {\n\t\t\t\t\tdouble cov_acc = 0.0;\n\t\t\t\t\tfor (int i1 = 0; i1 < n_values[n1]; ++i1) {\n\t\t\t\t\t\tdouble dev1 = range[n1][i1] - mean[n1];\n\t\t\t\t\t\tfor (int i2 = 0; i2 < n_values[n2]; ++i2) {\n\t\t\t\t\t\t\tdouble dev2 = range[n2][i2] - mean[n2];\n\t\t\t\t\t\t\tcov_acc += (dev1 * dev2 * marginal_2d_probability[n1][n2][i1][i2]);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tcov_acc = cov_acc / total_probability;\n\t\t\t\t\tcovariance[n1][n2] = cov_acc;\n\t\t\t\t\tcovariance[n2][n1] = cov_acc;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\treturn;\n\t}","public double average() {\n return average(0.0);\n }","public double stddev() {\n return StdStats.stddev(stats);\r\n }","public double mean() {\n return mu;\n }","public double mean() {\n\t\tif (count() > 0) {\n\t\t\treturn _sum.get() / (double) count();\n\t\t}\n\t\treturn 0.0;\n\t}","public double stddev() {\n return sig;\n }","public abstract double var (\n\t\tfinal int confidenceCount)\n\t\tthrows java.lang.Exception;","public double getAverage()\n {\n return getSum() / 2.0;\n }","public float getSDev() {\r\n int sumStdError = 0; // SIGMA(x_i - x_bar)\r\n int size = rbt.size() - 1;\r\n float mean = getMean();\r\n List<Integer> rbtArray = createArray(rbt.root);\r\n\r\n // calculate sumStdError\r\n for (int i = 0; i < rbtArray.size(); i++) {\r\n float gradeData = rbtArray.get(i);\r\n float error = gradeData - mean;\r\n sumStdError += error;\r\n }\r\n\r\n return (float) Math.sqrt((sumStdError ^ 2) / size);\r\n }","private List<Double> sumMeanX(List<Business> business, double avg) {\n\t\tList<Double> sumMean = new ArrayList<Double>();\n\n\t\tfor (Business biz : business) {\n\t\t\tint price = biz.getPrice();\n\t\t\tsumMean.add(price - avg);\n\t\t}\n\t\treturn sumMean;\n\t}","@Override\n\tpublic double avg() {\n\t\treturn total()/4.0;\n\t}","public double stddev() {\n return StdStats.stddev(fraction);\n }"],"string":"[\n \"private static double varianceVal(double[] arrayOfSamples, double mean){\\n\\t double v = 0;\\n\\t for(double i :arrayOfSamples)\\n\\t v += Math.pow((mean-i), 2);\\n\\t return v / arrayOfSamples.length;\\n\\t}\",\n \"public double varianceOfMean() {\\n\\t\\treturn variance() * getWeight();\\n\\t}\",\n \"public double variance()\\n {\\n return variance(mean());\\n }\",\n \"public double sampleVarianceOfMean() {\\n\\t\\treturn sampleVariance() * getWeight();\\n\\t}\",\n \"public double getVariance()\\r\\n\\t{\\r\\n\\t\\tlong tmp = lastSampleTime - firstSampleTime;\\r\\n\\t\\treturn ( tmp > 0 ? (sumPowerTwo/tmp - getMean()*getMean()) : 0);\\r\\n\\t}\",\n \"public double variance() {\\n final double average = average();\\n final int size = size();\\n\\n int cnt = 0;\\n double rval = 0;\\n\\n // Compute the variance\\n for (int i = 0; i < size; i++) {\\n final Number number = get(i);\\n if (number == null) continue;\\n if (Double.isNaN(number.doubleValue())) continue;\\n\\n rval += (average - number.doubleValue()) * (average - number.doubleValue());\\n cnt++;\\n }\\n\\n // If we haven't had any element, return 0\\n if (cnt == 0) return 0;\\n\\n return rval / cnt;\\n }\",\n \"public Double getVariance() {\\n return variance;\\n }\",\n \"public double sampleVariance() {\\n/* 262 */ Preconditions.checkState((this.count > 1L));\\n/* 263 */ if (Double.isNaN(this.sumOfSquaresOfDeltas)) {\\n/* 264 */ return Double.NaN;\\n/* */ }\\n/* 266 */ return DoubleUtils.ensureNonNegative(this.sumOfSquaresOfDeltas) / (this.count - 1L);\\n/* */ }\",\n \"public double getVariance(){\\n\\t\\treturn (double)sampleSize * type1Size * (populationSize - type1Size) *\\n\\t\\t\\t(populationSize - sampleSize) / ( populationSize * populationSize * (populationSize - 1));\\n\\t}\",\n \"public static Double computeVariance(final Double[] values,\\n\\t\\t\\tfinal Double mean) {\\n\\t\\treturn computeVariance(values, 0, values.length, mean);\\n\\t}\",\n \"public double getVariance(){\\n\\t\\tdouble a = location + scale * scale;\\n\\t\\treturn Math.exp(2 * a) - Math.exp(location + a);\\n\\t}\",\n \"private double[] varianceArray(){\\n\\t\\tdouble[] varianceVals = new double[values.length];\\n\\t\\tfor(int i = 0; i < values.length; i++){\\n\\t\\t\\tvarianceVals[i] = Math.pow(values[i] - mean , 2.0);\\n\\t\\t}\\n\\t\\treturn varianceVals;\\n\\t}\",\n \"public double empiricalVariance()\\n\\t{\\n\\t\\treturn _dblEmpiricalVariance;\\n\\t}\",\n \"private void updateVariance() {\\r\\n double variance = 0.0;\\r\\n updateMean();\\r\\n for (Tweet t : members) {\\r\\n variance += ((t.getDateLong() - this.mean) * (t.getDateLong() - this.mean));\\r\\n }\\r\\n variance /= members.size();\\r\\n this.variance = variance;\\r\\n }\",\n \"public double populationVariance() {\\n/* 215 */ Preconditions.checkState((this.count > 0L));\\n/* 216 */ if (Double.isNaN(this.sumOfSquaresOfDeltas)) {\\n/* 217 */ return Double.NaN;\\n/* */ }\\n/* 219 */ if (this.count == 1L) {\\n/* 220 */ return 0.0D;\\n/* */ }\\n/* 222 */ return DoubleUtils.ensureNonNegative(this.sumOfSquaresOfDeltas) / count();\\n/* */ }\",\n \"public static Double computeVariance(final Double[] values, int offset,\\n\\t\\t\\tfinal int number, final Double mean) {\\n\\t\\tif (number < 2) {\\n\\t\\t\\tthrow new IllegalArgumentException(\\n\\t\\t\\t\\t\\t\\\"The number of values to process must be two or larger.\\\");\\n\\t\\t}\\n\\t\\tDouble sum = 0.0;\\n\\t\\tfinal int UNTIL = offset + number;\\n\\t\\tdo {\\n\\t\\t\\tDouble diff = values[offset++] - mean;\\n\\t\\t\\tsum += diff * diff;\\n\\t\\t} while (offset != UNTIL);\\n\\t\\treturn sum / (number - 1);\\n\\t}\",\n \"private int getVariance (int[] times) {\\n\\n\\t\\t//Get the mean time of all the vehicles\\n\\t\\tint mean = getMean(times);\\n\\t\\t//Variable to store the sum of squares\\n\\t\\tint sumOfSquares = 0;\\n\\n\\t\\t//Loop through all times in the array\\n\\t\\tfor (int i = 0; i < times.length; i++) {\\n\\n\\t\\t\\t//Calculate the sum of squares\\n\\t\\t\\tsumOfSquares += Math.pow((times[i] - mean), 2);\\n\\t\\t}\\n\\n\\t\\t//Calculate and return the variance \\n\\t\\tint variance = sumOfSquares/times.length;\\n\\t\\treturn variance;\\n\\t}\",\n \"public double var() {\\n\\t\\tint n = this.getAttCount();\\n\\t\\tif (n < 2) return Constants.UNUSED;\\n\\n\\t\\tdouble mean = mean();\\n\\t\\tdouble sum = 0;\\n\\t\\tfor (int i = 0; i < n; i++) {\\n\\t\\t\\tdouble v = this.getValueAsReal(i);\\n\\t\\t\\tdouble deviation = v - mean;\\n\\t\\t\\tsum += deviation * deviation;\\n\\t\\t}\\n\\t\\treturn sum / (double)(n - 1);\\n\\t}\",\n \"public static Double computeVariance(final Double[] values) {\\n\\t\\treturn computeVariance(values, 0, values.length);\\n\\t}\",\n \"protected void setVariance(double value) {\\n\\t variance = value;\\n\\t}\",\n \"protected void setVariance(double value) {\\n\\t variance = value;\\n\\t}\",\n \"private double computeVariance(Queue<Integer> q, int maxLength){ \\n if(q.size() < maxLength-1) return Double.NaN; //we dont have a full queue yet, so dont output a valid variance\\n Queue<Integer> q_tmp=new LinkedList(q);\\n int sum = 0;\\n int n=q.size();\\n while(q_tmp.size()>0){\\n sum = sum + q_tmp.remove();\\n }\\n double mean= sum/n;\\n double vsum = 0;\\n q_tmp=new LinkedList(q); // NB you have to do this to copy the queue and not just make a reference to it\\n while(q_tmp.size()>0){\\n int k = q_tmp.remove();\\n vsum = vsum + Math.pow(k-mean,2);\\n }\\n return vsum/(n-1);\\n }\",\n \"public double stdDev() {\\n\\t\\tif (count() > 0) {\\n\\t\\t\\treturn sqrt(variance());\\n\\t\\t}\\n\\t\\treturn 0.0;\\n\\t}\",\n \"public double populationVariance()\\n\\t{\\n\\t\\treturn null == _distPopulation ? java.lang.Double.NaN : _distPopulation.variance();\\n\\t}\",\n \"public double sampleStandardDeviation() {\\n/* 288 */ return Math.sqrt(sampleVariance());\\n/* */ }\",\n \"public double std(double data[], double mean) {\\r\\n\\t\\tdouble std = 0;\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tfor(int i=0;i<data.length;i++) {\\r\\n\\t\\t\\t\\tstd =std+((data[i]-mean)*(data[i]-mean));\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tstd = Math.sqrt(std / (data.length-1));\\r\\n\\t\\t}\\r\\n\\t\\tcatch(Exception e) {\\r\\n\\t\\t\\tDataMaster.logger.warning(e.toString());\\r\\n\\t\\t\\t//e.printStackTrace();\\r\\n\\t\\t}\\r\\n\\t\\treturn std;\\r\\n\\t}\",\n \"public static double calculateVariance(double[][] targetVariables) {\\r\\n double[][] mean = FindPrototype.findOptimalPrototype(targetVariables);\\r\\n\\r\\n int N = targetVariables.length;\\r\\n\\r\\n double numerator = 0;\\r\\n\\r\\n for (int i = 0; i < N; i++) {\\r\\n numerator += EuclideanDistance.calculateEuclideanDistance(Gets.getRowFromMatix(i, targetVariables), mean);\\r\\n }\\r\\n \\r\\n if (N - 1 == 0) {\\r\\n return 0;\\r\\n } else {\\r\\n return numerator / (N - 1);\\r\\n }\\r\\n }\",\n \"public double getDefaultVariance()\\n {\\n return this.defaultVariance;\\n }\",\n \"public double standarddeviation() {\\n return Math.sqrt(variance());\\n }\",\n \"private void updateMuVariance() {\\n\\t\\tmu = train.getLocalMean(); \\n\\t\\tsigma = train.getLocalVariance(); \\n\\t\\t\\n\\t\\t/*\\n\\t\\t * If the ratio of data variance between dimensions is too small, it \\n\\t\\t * will cause numerical errors. To address this, we artificially boost\\n\\t\\t * the variance by epsilon, a small fraction of the standard deviation\\n\\t\\t * of the largest dimension. \\n\\t\\t * */\\n\\t\\tupdateEpsilon(); \\n\\t\\tsigma = MathUtils.add(sigma, epsilon); \\n\\t\\t\\n\\t}\",\n \"public double mean() {\\n return StdStats.mean(stats);\\r\\n }\",\n \"private void updateVarianceOfPrediction(int sensor_id){\\n\\t\\t\\n\\t\\tdouble N = current_sensor_readings[sensor_id] - predicted_sensor_readings[sensor_id][0];\\n\\t\\tif(round_number==0){\\n\\t\\t\\t\\n\\t\\t\\tsigma[sensor_id] = N * N;\\n\\t\\t\\t\\n\\t\\t}else if(round_number<=K){\\n\\t\\t\\t\\n\\t\\t\\tsigma[sensor_id] = (((round_number-1)*sigma[sensor_id]) + (N * N))/(round_number);\\n\\t\\t\\t\\n\\t\\t}else{\\n\\t\\t\\t\\n\\t\\t\\tsigma[sensor_id] = (1-gamma)*sigma[sensor_id] + gamma * N * N;\\n\\t\\t}\\n\\t}\",\n \"private void updateVariance(long value) {\\n\\t\\tif (!varianceM.compareAndSet(-1, doubleToLongBits(value))) {\\n\\t\\t\\tboolean done = false;\\n\\t\\t\\twhile (!done) {\\n\\t\\t\\t\\tfinal long oldMCas = varianceM.get();\\n\\t\\t\\t\\tfinal double oldM = longBitsToDouble(oldMCas);\\n\\t\\t\\t\\tfinal double newM = oldM + ((value - oldM) / count());\\n\\n\\t\\t\\t\\tfinal long oldSCas = varianceS.get();\\n\\t\\t\\t\\tfinal double oldS = longBitsToDouble(oldSCas);\\n\\t\\t\\t\\tfinal double newS = oldS + ((value - oldM) * (value - newM));\\n\\n\\t\\t\\t\\tdone = varianceM.compareAndSet(oldMCas, doubleToLongBits(newM)) &&\\n\\t\\t\\t\\t\\t\\tvarianceS.compareAndSet(oldSCas, doubleToLongBits(newS));\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"protected MeanVar(int n, double mean, double s) {\\n\\t\\tthis.n = n;\\n\\t\\tthis.mean = mean;\\n\\t\\tthis.s = s;\\n\\t}\",\n \"public double stddev() {\\n\\t\\tdouble sum = 0;\\n\\t\\tdouble mean = mean();\\n\\t\\tfor(int i = 0; i<myData.length;i++)\\n\\t\\t\\tsum+=(myData[i]-mean)*(myData[i]-mean);\\n\\t\\treturn (double) Math.sqrt(sum/(myData.length-1));\\n\\t}\",\n \"public double mean() {\\r\\n\\t\\treturn mean;\\r\\n\\t}\",\n \"public double varianceBackcast()\\n {\\n double unconditionalVariance = variance(0.0);\\n // why do they compute the unconditional variance if they don't\\n // use it afterwards?\\n \\n double lambda = .7;\\n double sigsum = 0.0;\\n for(int t = 0; t<size; t++)\\n sigsum += Math.pow(lambda, size - t - 1.0)*getSqrQuote(size - t);\\n \\n // This doesn't make sense to me...\\n // looks like a convex hull of sigsum and something else,\\n // except lambda is raised to the n-th power...\\n return Math.pow(lambda, size) + (1.0 - lambda)*sigsum;\\n }\",\n \"public double mean() {\\n\\t\\treturn mean;\\n\\t}\",\n \"public double mean() {\\n\\t\\treturn mean;\\n\\t}\",\n \"public MeanVar(double value) {\\n\\t\\taddValue(value);\\n\\t}\",\n \"public static float getVariance(ArrayList<StatisticClass> classes, float[] classMiddles, float arithmeticMiddle,\\n\\t\\t\\tint sampleSize)\\n\\t{\\n\\t\\tfloat result;\\n\\t\\tfloat sigmaResult = 0;\\n\\n\\t\\tfor (int i = 0; i < classes.size(); i++)\\n\\t\\t{\\n\\n\\t\\t\\tfloat absOccurence = classes.get(i).getAbsoluteOccurences();\\n\\t\\t\\tfloat classMiddle = classMiddles[i];\\n\\n\\t\\t\\tsigmaResult += absOccurence * Math.pow((classMiddle - arithmeticMiddle), 2);\\n\\n\\t\\t}\\n\\n\\t\\tresult = sigmaResult / (sampleSize - 1);\\n\\t\\treturn result;\\n\\t}\",\n \"public double mean() { \\n return StdStats.mean(result);\\n\\n }\",\n \"private static double meanVal(double[] arrayOfSamples){\\n\\t\\tdouble total = 0;\\n\\t\\t for (double i :arrayOfSamples){\\n\\t\\t \\ttotal += i;\\n\\t\\t }\\n\\t return total/arrayOfSamples.length;\\n\\t}\",\n \"public Duration getStartVariance()\\r\\n {\\r\\n return (m_startVariance);\\r\\n }\",\n \"public double mean() {\\n return mean;\\n }\",\n \"public T mean();\",\n \"public double populationStandardDeviation() {\\n/* 242 */ return Math.sqrt(populationVariance());\\n/* */ }\",\n \"public double varianceExponent()\\n\\t{\\n\\t\\treturn _dblVarianceExponent;\\n\\t}\",\n \"public double mean() {\\n return StdStats.mean(fraction);\\n }\",\n \"public static double meanVal(int[] sample){\\n double total = 0;\\n for (int i = 0; i < sample.length; i++){\\n total = total + sample[i];\\n }\\n double mean = total/sample.length;\\n return mean;\\n }\",\n \"double average();\",\n \"double getVariation();\",\n \"public final double getMean()\\r\\n\\t{\\r\\n\\t\\treturn mean;\\r\\n\\t}\",\n \"public MeanVar(double[] data) {\\n\\t\\tfor (int i = 0; i < data.length; i++)\\n\\t\\t\\taddValue(data[i]);\\n\\t}\",\n \"public double mean(){\\n return StdStats.mean(percentage);\\n }\",\n \"public void setMean(double mean) {\\n this.mean = mean;\\n }\",\n \"public double sd() {\\n\\t\\treturn Math.sqrt(var());\\n\\t}\",\n \"public double stddev() {\\n double sum = sampleMean;\\n sum = 0;\\n for (int i = 0; i < sites.length; i++) {\\n// sum += (Double.parseDouble(sites[i] + \\\"\\\") / size - sampleMean) \\n// * (Double.parseDouble(sites[i] + \\\"\\\") / size - sampleMean);\\n sum += (sites[i]/size - sampleMean) \\n * (sites[i]/size - sampleMean);\\n }\\n sampleStanDevi = Math.sqrt(sum / (times - 1));\\n return sampleStanDevi;\\n }\",\n \"@Override\\n\\tpublic int avg() {\\n\\t\\treturn (this.sum()/3);\\n\\t}\",\n \"public void StandardDeviation(){\\r\\n\\t\\tAverage();\\r\\n\\t\\tif (count<=1){\\r\\n\\t\\t\\tSystem.out.println(\\\"The Standard Deviation is \\\"+0.0);\\r\\n\\t\\t}\\r\\n\\t\\telse {\\r\\n\\t\\t\\tStandardDeviation=(float)Math.sqrt((Total2-Total*Total/count)/(count-1));\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public Double getMean() {\\n return mean;\\n }\",\n \"double avg(){\\n\\t\\tdouble sum = 0.0;\\n\\t\\tfor(int i=0;i<num.length;i++)\\n\\t\\t\\tsum+=num[i].doubleValue();\\n\\t\\treturn sum/num.length;\\n\\t}\",\n \"public double mean() {\\n double total = 0;\\n for (int i = 0; i < sites.length; i++) {\\n total += sites[i];\\n }\\n sampleMean = total / size / times;\\n return sampleMean;\\n }\",\n \"public double mean() {\\n\\t\\treturn StdStats.mean(results); \\n\\t}\",\n \"public double stddev(){\\n return StdStats.stddev(percentage);\\n }\",\n \"public double getMean() {\\n return mean;\\n }\",\n \"protected double sigma(Vector3 v) {\\n double c1, c2;\\n switch (dominantAxis) {\\n case X:\\n c1 = v.y;\\n c2 = v.z;\\n break;\\n case Y:\\n c1 = v.x;\\n c2 = v.z;\\n break;\\n case Z:\\n c1 = v.x;\\n c2 = v.y;\\n break;\\n default:\\n return -1;\\n }\\n\\n return Math.sqrt(c1 * c1 + c2 * c2);\\n }\",\n \"public double getAverage(){\\n return getTotal()/array.length;\\n }\",\n \"public static void avevar(final double[] data, final $double ave, final $double var) {\\n double s, ep;\\r\\n int j, n = data.length;\\r\\n ave.$(0.0);\\r\\n for (j = 0; j < n; j++)\\r\\n ave.$(ave.$() + data[j]);\\r\\n ave.$(ave.$() / n);\\r\\n var.$(ep = 0.0);\\r\\n for (j = 0; j < n; j++) {\\r\\n s = data[j] - ave.$();\\r\\n ep += s;\\r\\n var.$(var.$() + (s * s));\\r\\n }\\r\\n var.$((var.$() - ep * ep / n) / (n - 1)); // Corrected two-pass\\r\\n // formula (14.1.8).\\r\\n }\",\n \"public double average(){\\n double avg = 0;\\n double sum = 0;\\n for (T t : arr) {\\n // sum += t.doubleValue();\\n }\\n\\n return sum / arr.length;\\n }\",\n \"public double mean() {\\n return StdStats.mean(perThreshold);\\n }\",\n \"public double averageVolume() {\\n if (numberOfIcosahedrons() == 0) {\\n return 0;\\n }\\n else {\\n return totalVolume() / numberOfIcosahedrons();\\n }\\n }\",\n \"public double average(){\\r\\n\\t\\t//create variable to hold the values\\r\\n\\t\\tdouble average = 0;\\r\\n\\t\\t\\r\\n\\t\\tfor (int i = 0; i < this.data.length; i++){\\r\\n\\t\\t\\t//add current index\\r\\n\\t\\t\\taverage += this.data[i];\\r\\n\\t\\t\\t}\\r\\n\\t\\treturn (average/this.data.length);\\r\\n\\t}\",\n \"public double mean()\\n {\\n double sum = 0.0;\\n for(int t = 0; t<size; t++)\\n sum += x[t];\\n return sum/size;\\n }\",\n \"@Override\\n\\tpublic double mean() {\\n\\t\\treturn 0;\\n\\t}\",\n \"public double getMean(){\\n\\t\\treturn (double)sampleSize * type1Size / populationSize;\\n\\t}\",\n \"public double mean() {\\n return StdStats.mean(results);\\n }\",\n \"public GetVarianceArray() {\\n\\t\\tsuper(\\\"GET_VARIANCE_ARRAY\\\", Wetrn.WETRN, AppGlobalUnitAdjustment.APP_GLOBAL_UNIT_ADJUSTMENT, org.jooq.impl.DefaultDataType.getDefaultDataType(\\\"TABLE\\\"));\\n\\n\\t\\tsetReturnParameter(RETURN_VALUE);\\n\\t\\taddInParameter(P_VEHICLE_IDS);\\n\\t\\taddInParameter(P_VARIANCE);\\n\\t}\",\n \"public double mean() {\\n return StdStats.mean(trialResult);\\n }\",\n \"public float getAverage(){\\r\\n\\t\\treturn Average;\\r\\n\\t}\",\n \"public double getNoiseMean() {\\n\\t\\t\\treturn NOISE_MEAN;\\n\\t\\t}\",\n \"public double stddev() { \\n return StdStats.stddev(result);\\n }\",\n \"public static double getVarience(double[] dataArray) {\\n\\t\\t\\n\\t\\tdouble varience = 0.0;\\n\\t\\tdouble average = getAverage(dataArray);\\n\\t\\t\\n\\t\\tfor (int i = 0; i <dataArray.length; i++) {\\n\\t\\t\\tvarience += Math.pow((dataArray[i]- average),2);\\n\\t\\t}\\n\\t\\t\\n\\t\\tvarience = varience/dataArray.length;\\n\\t\\treturn varience;\\n\\t}\",\n \"public void getAvg()\\n {\\n this.avg = sum/intData.length;\\n }\",\n \"public static double standardDeviation(double[] x, double mean){\\n \\n //Goes through all the numbers of the array, doubles them, and assigns them into the index\\n for ( int i =0; i < x.length; i++){\\n double addedNumbers = Math.pow(x[i] - mean, 2);\\n\\n x[i] = addedNumbers;\\n }\\n\\n //Declares y variable and initializes it to 0\\n double total = 0;\\n\\n //goes through all the numbers and adds them to a total\\n for(int j =0; j < x.length; j++){\\n total += x[j];\\n }\\n\\n //Divides the total then gets the squareRoot\\n double squareRoot = total / 9 ;\\n double SD = Math.sqrt(squareRoot);\\n \\n //Returns the standard deviation\\n return SD;\\n\\n }\",\n \"public void setPVariance(String value) {\\n\\t\\tsetValue(P_VARIANCE, value);\\n\\t}\",\n \"public double stddev() {\\n\\t\\tif (experiments == 1)\\n\\t\\t\\treturn Double.NaN;\\n\\t\\treturn stddev;\\n\\t}\",\n \"public void setMeanAnamoly(double value) {\\n this.meanAnamoly = value;\\n }\",\n \"public void calc_mean_covariance (double[][] range, double[] mean, double[][] covariance) {\\n\\n\\t\\t// Calculate means and variances\\n\\n\\t\\tfor (int n = 0; n < n_vars; ++n) {\\n\\n\\t\\t\\tdouble mean_acc = 0.0;\\n\\t\\t\\tfor (int i = 0; i < n_values[n]; ++i) {\\n\\t\\t\\t\\tmean_acc += (range[n][i] * marginal_probability[n][i]);\\n\\t\\t\\t}\\n\\t\\t\\tmean_acc = mean_acc / total_probability;\\n\\t\\t\\tmean[n] = mean_acc;\\n\\n\\t\\t\\tdouble var_acc = 0.0;\\n\\t\\t\\tfor (int i = 0; i < n_values[n]; ++i) {\\n\\t\\t\\t\\tdouble dev = range[n][i] - mean_acc;\\n\\t\\t\\t\\tvar_acc += (dev * dev * marginal_probability[n][i]);\\n\\t\\t\\t}\\n\\t\\t\\tcovariance[n][n] = var_acc / total_probability;\\n\\t\\t}\\n\\n\\t\\t// Calculate covariances\\n\\n\\t\\tfor (int n1 = 0; n1 < n_vars; ++n1) {\\n\\t\\t\\tfor (int n2 = 0; n2 < n_vars; ++n2) {\\n\\t\\t\\t\\tif (n1 < n2) {\\n\\t\\t\\t\\t\\tdouble cov_acc = 0.0;\\n\\t\\t\\t\\t\\tfor (int i1 = 0; i1 < n_values[n1]; ++i1) {\\n\\t\\t\\t\\t\\t\\tdouble dev1 = range[n1][i1] - mean[n1];\\n\\t\\t\\t\\t\\t\\tfor (int i2 = 0; i2 < n_values[n2]; ++i2) {\\n\\t\\t\\t\\t\\t\\t\\tdouble dev2 = range[n2][i2] - mean[n2];\\n\\t\\t\\t\\t\\t\\t\\tcov_acc += (dev1 * dev2 * marginal_2d_probability[n1][n2][i1][i2]);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tcov_acc = cov_acc / total_probability;\\n\\t\\t\\t\\t\\tcovariance[n1][n2] = cov_acc;\\n\\t\\t\\t\\t\\tcovariance[n2][n1] = cov_acc;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\treturn;\\n\\t}\",\n \"public double average() {\\n return average(0.0);\\n }\",\n \"public double stddev() {\\n return StdStats.stddev(stats);\\r\\n }\",\n \"public double mean() {\\n return mu;\\n }\",\n \"public double mean() {\\n\\t\\tif (count() > 0) {\\n\\t\\t\\treturn _sum.get() / (double) count();\\n\\t\\t}\\n\\t\\treturn 0.0;\\n\\t}\",\n \"public double stddev() {\\n return sig;\\n }\",\n \"public abstract double var (\\n\\t\\tfinal int confidenceCount)\\n\\t\\tthrows java.lang.Exception;\",\n \"public double getAverage()\\n {\\n return getSum() / 2.0;\\n }\",\n \"public float getSDev() {\\r\\n int sumStdError = 0; // SIGMA(x_i - x_bar)\\r\\n int size = rbt.size() - 1;\\r\\n float mean = getMean();\\r\\n List<Integer> rbtArray = createArray(rbt.root);\\r\\n\\r\\n // calculate sumStdError\\r\\n for (int i = 0; i < rbtArray.size(); i++) {\\r\\n float gradeData = rbtArray.get(i);\\r\\n float error = gradeData - mean;\\r\\n sumStdError += error;\\r\\n }\\r\\n\\r\\n return (float) Math.sqrt((sumStdError ^ 2) / size);\\r\\n }\",\n \"private List<Double> sumMeanX(List<Business> business, double avg) {\\n\\t\\tList<Double> sumMean = new ArrayList<Double>();\\n\\n\\t\\tfor (Business biz : business) {\\n\\t\\t\\tint price = biz.getPrice();\\n\\t\\t\\tsumMean.add(price - avg);\\n\\t\\t}\\n\\t\\treturn sumMean;\\n\\t}\",\n \"@Override\\n\\tpublic double avg() {\\n\\t\\treturn total()/4.0;\\n\\t}\",\n \"public double stddev() {\\n return StdStats.stddev(fraction);\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.78710103","0.78310233","0.7800162","0.7689536","0.76676583","0.762574","0.75679225","0.7541008","0.7243375","0.71831983","0.71747977","0.70331806","0.6996695","0.69443744","0.68520516","0.6732104","0.6675919","0.66715294","0.6624185","0.65689576","0.65689576","0.63608414","0.6312834","0.62604284","0.6224228","0.614706","0.61209494","0.6085785","0.60564315","0.604985","0.6030622","0.6029388","0.5994629","0.5925603","0.58945936","0.5891544","0.5858621","0.5819452","0.5819452","0.5810553","0.5795522","0.5790702","0.577507","0.5756329","0.5747588","0.5741828","0.57397556","0.57307714","0.5716401","0.5708883","0.569601","0.56824225","0.5681078","0.564999","0.5633683","0.5631994","0.56062967","0.55939007","0.5593831","0.5589071","0.5584034","0.55801433","0.55603784","0.5560355","0.5556307","0.55361426","0.5522281","0.55142266","0.5511704","0.55097973","0.5508995","0.5508484","0.54926884","0.54750454","0.5466348","0.5464609","0.5453177","0.54454046","0.5433469","0.5423384","0.54160243","0.54153246","0.54076236","0.5404176","0.54016733","0.53956443","0.53892654","0.5369947","0.53470457","0.5336521","0.53166306","0.5308965","0.5306813","0.5306681","0.5301774","0.5284629","0.5278562","0.52764153","0.52620924","0.52470165"],"string":"[\n \"0.78710103\",\n \"0.78310233\",\n \"0.7800162\",\n \"0.7689536\",\n \"0.76676583\",\n \"0.762574\",\n \"0.75679225\",\n \"0.7541008\",\n \"0.7243375\",\n \"0.71831983\",\n \"0.71747977\",\n \"0.70331806\",\n \"0.6996695\",\n \"0.69443744\",\n \"0.68520516\",\n \"0.6732104\",\n \"0.6675919\",\n \"0.66715294\",\n \"0.6624185\",\n \"0.65689576\",\n \"0.65689576\",\n \"0.63608414\",\n \"0.6312834\",\n \"0.62604284\",\n \"0.6224228\",\n \"0.614706\",\n \"0.61209494\",\n \"0.6085785\",\n \"0.60564315\",\n \"0.604985\",\n \"0.6030622\",\n \"0.6029388\",\n \"0.5994629\",\n \"0.5925603\",\n \"0.58945936\",\n \"0.5891544\",\n \"0.5858621\",\n \"0.5819452\",\n \"0.5819452\",\n \"0.5810553\",\n \"0.5795522\",\n \"0.5790702\",\n \"0.577507\",\n \"0.5756329\",\n \"0.5747588\",\n \"0.5741828\",\n \"0.57397556\",\n \"0.57307714\",\n \"0.5716401\",\n \"0.5708883\",\n \"0.569601\",\n \"0.56824225\",\n \"0.5681078\",\n \"0.564999\",\n \"0.5633683\",\n \"0.5631994\",\n \"0.56062967\",\n \"0.55939007\",\n \"0.5593831\",\n \"0.5589071\",\n \"0.5584034\",\n \"0.55801433\",\n \"0.55603784\",\n \"0.5560355\",\n \"0.5556307\",\n \"0.55361426\",\n \"0.5522281\",\n \"0.55142266\",\n \"0.5511704\",\n \"0.55097973\",\n \"0.5508995\",\n \"0.5508484\",\n \"0.54926884\",\n \"0.54750454\",\n \"0.5466348\",\n \"0.5464609\",\n \"0.5453177\",\n \"0.54454046\",\n \"0.5433469\",\n \"0.5423384\",\n \"0.54160243\",\n \"0.54153246\",\n \"0.54076236\",\n \"0.5404176\",\n \"0.54016733\",\n \"0.53956443\",\n \"0.53892654\",\n \"0.5369947\",\n \"0.53470457\",\n \"0.5336521\",\n \"0.53166306\",\n \"0.5308965\",\n \"0.5306813\",\n \"0.5306681\",\n \"0.5301774\",\n \"0.5284629\",\n \"0.5278562\",\n \"0.52764153\",\n \"0.52620924\",\n \"0.52470165\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.68469554"},"document_rank":{"kind":"string","value":"15"}}},{"rowIdx":19787,"cells":{"query":{"kind":"string","value":"Variance of the series."},"document":{"kind":"string","value":"public double variance()\n {\n return variance(mean());\n }"},"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":["public Double getVariance() {\n return variance;\n }","public double variance() {\n final double average = average();\n final int size = size();\n\n int cnt = 0;\n double rval = 0;\n\n // Compute the variance\n for (int i = 0; i < size; i++) {\n final Number number = get(i);\n if (number == null) continue;\n if (Double.isNaN(number.doubleValue())) continue;\n\n rval += (average - number.doubleValue()) * (average - number.doubleValue());\n cnt++;\n }\n\n // If we haven't had any element, return 0\n if (cnt == 0) return 0;\n\n return rval / cnt;\n }","public double getVariance()\r\n\t{\r\n\t\tlong tmp = lastSampleTime - firstSampleTime;\r\n\t\treturn ( tmp > 0 ? (sumPowerTwo/tmp - getMean()*getMean()) : 0);\r\n\t}","public double getVariance(){\n\t\treturn (double)sampleSize * type1Size * (populationSize - type1Size) *\n\t\t\t(populationSize - sampleSize) / ( populationSize * populationSize * (populationSize - 1));\n\t}","public double sampleVariance() {\n/* 262 */ Preconditions.checkState((this.count > 1L));\n/* 263 */ if (Double.isNaN(this.sumOfSquaresOfDeltas)) {\n/* 264 */ return Double.NaN;\n/* */ }\n/* 266 */ return DoubleUtils.ensureNonNegative(this.sumOfSquaresOfDeltas) / (this.count - 1L);\n/* */ }","public double getVariance(){\n\t\tdouble a = location + scale * scale;\n\t\treturn Math.exp(2 * a) - Math.exp(location + a);\n\t}","public double populationVariance() {\n/* 215 */ Preconditions.checkState((this.count > 0L));\n/* 216 */ if (Double.isNaN(this.sumOfSquaresOfDeltas)) {\n/* 217 */ return Double.NaN;\n/* */ }\n/* 219 */ if (this.count == 1L) {\n/* 220 */ return 0.0D;\n/* */ }\n/* 222 */ return DoubleUtils.ensureNonNegative(this.sumOfSquaresOfDeltas) / count();\n/* */ }","public double empiricalVariance()\n\t{\n\t\treturn _dblEmpiricalVariance;\n\t}","private double[] varianceArray(){\n\t\tdouble[] varianceVals = new double[values.length];\n\t\tfor(int i = 0; i < values.length; i++){\n\t\t\tvarianceVals[i] = Math.pow(values[i] - mean , 2.0);\n\t\t}\n\t\treturn varianceVals;\n\t}","public double varianceOfMean() {\n\t\treturn variance() * getWeight();\n\t}","private static double varianceVal(double[] arrayOfSamples, double mean){\n\t double v = 0;\n\t for(double i :arrayOfSamples)\n\t v += Math.pow((mean-i), 2);\n\t return v / arrayOfSamples.length;\n\t}","public double variance(double m)\n {\n double var = 0.0;\n \n for(int t = 0; t<size; t++)\n {\n double dev = x[t] - m;\n var += dev*dev;\n }\n return var/size;\n }","private int getVariance (int[] times) {\n\n\t\t//Get the mean time of all the vehicles\n\t\tint mean = getMean(times);\n\t\t//Variable to store the sum of squares\n\t\tint sumOfSquares = 0;\n\n\t\t//Loop through all times in the array\n\t\tfor (int i = 0; i < times.length; i++) {\n\n\t\t\t//Calculate the sum of squares\n\t\t\tsumOfSquares += Math.pow((times[i] - mean), 2);\n\t\t}\n\n\t\t//Calculate and return the variance \n\t\tint variance = sumOfSquares/times.length;\n\t\treturn variance;\n\t}","public static Double computeVariance(final Double[] values) {\n\t\treturn computeVariance(values, 0, values.length);\n\t}","public double populationVariance()\n\t{\n\t\treturn null == _distPopulation ? java.lang.Double.NaN : _distPopulation.variance();\n\t}","private void updateVariance() {\r\n double variance = 0.0;\r\n updateMean();\r\n for (Tweet t : members) {\r\n variance += ((t.getDateLong() - this.mean) * (t.getDateLong() - this.mean));\r\n }\r\n variance /= members.size();\r\n this.variance = variance;\r\n }","public double var() {\n\t\tint n = this.getAttCount();\n\t\tif (n < 2) return Constants.UNUSED;\n\n\t\tdouble mean = mean();\n\t\tdouble sum = 0;\n\t\tfor (int i = 0; i < n; i++) {\n\t\t\tdouble v = this.getValueAsReal(i);\n\t\t\tdouble deviation = v - mean;\n\t\t\tsum += deviation * deviation;\n\t\t}\n\t\treturn sum / (double)(n - 1);\n\t}","protected void setVariance(double value) {\n\t variance = value;\n\t}","protected void setVariance(double value) {\n\t variance = value;\n\t}","public double sampleVarianceOfMean() {\n\t\treturn sampleVariance() * getWeight();\n\t}","public double varianceBackcast()\n {\n double unconditionalVariance = variance(0.0);\n // why do they compute the unconditional variance if they don't\n // use it afterwards?\n \n double lambda = .7;\n double sigsum = 0.0;\n for(int t = 0; t<size; t++)\n sigsum += Math.pow(lambda, size - t - 1.0)*getSqrQuote(size - t);\n \n // This doesn't make sense to me...\n // looks like a convex hull of sigsum and something else,\n // except lambda is raised to the n-th power...\n return Math.pow(lambda, size) + (1.0 - lambda)*sigsum;\n }","double getVariation();","public static Double computeVariance(final Double[] values,\n\t\t\tfinal Double mean) {\n\t\treturn computeVariance(values, 0, values.length, mean);\n\t}","private double computeVariance(Queue<Integer> q, int maxLength){ \n if(q.size() < maxLength-1) return Double.NaN; //we dont have a full queue yet, so dont output a valid variance\n Queue<Integer> q_tmp=new LinkedList(q);\n int sum = 0;\n int n=q.size();\n while(q_tmp.size()>0){\n sum = sum + q_tmp.remove();\n }\n double mean= sum/n;\n double vsum = 0;\n q_tmp=new LinkedList(q); // NB you have to do this to copy the queue and not just make a reference to it\n while(q_tmp.size()>0){\n int k = q_tmp.remove();\n vsum = vsum + Math.pow(k-mean,2);\n }\n return vsum/(n-1);\n }","public double stdDev() {\n\t\tif (count() > 0) {\n\t\t\treturn sqrt(variance());\n\t\t}\n\t\treturn 0.0;\n\t}","public double getDefaultVariance()\n {\n return this.defaultVariance;\n }","public double standarddeviation() {\n return Math.sqrt(variance());\n }","public Duration getStartVariance()\r\n {\r\n return (m_startVariance);\r\n }","public static double calculateVariance(double[][] targetVariables) {\r\n double[][] mean = FindPrototype.findOptimalPrototype(targetVariables);\r\n\r\n int N = targetVariables.length;\r\n\r\n double numerator = 0;\r\n\r\n for (int i = 0; i < N; i++) {\r\n numerator += EuclideanDistance.calculateEuclideanDistance(Gets.getRowFromMatix(i, targetVariables), mean);\r\n }\r\n \r\n if (N - 1 == 0) {\r\n return 0;\r\n } else {\r\n return numerator / (N - 1);\r\n }\r\n }","public static Double computeVariance(final Double[] values, int offset,\n\t\t\tfinal int number, final Double mean) {\n\t\tif (number < 2) {\n\t\t\tthrow new IllegalArgumentException(\n\t\t\t\t\t\"The number of values to process must be two or larger.\");\n\t\t}\n\t\tDouble sum = 0.0;\n\t\tfinal int UNTIL = offset + number;\n\t\tdo {\n\t\t\tDouble diff = values[offset++] - mean;\n\t\t\tsum += diff * diff;\n\t\t} while (offset != UNTIL);\n\t\treturn sum / (number - 1);\n\t}","private void updateVariance(long value) {\n\t\tif (!varianceM.compareAndSet(-1, doubleToLongBits(value))) {\n\t\t\tboolean done = false;\n\t\t\twhile (!done) {\n\t\t\t\tfinal long oldMCas = varianceM.get();\n\t\t\t\tfinal double oldM = longBitsToDouble(oldMCas);\n\t\t\t\tfinal double newM = oldM + ((value - oldM) / count());\n\n\t\t\t\tfinal long oldSCas = varianceS.get();\n\t\t\t\tfinal double oldS = longBitsToDouble(oldSCas);\n\t\t\t\tfinal double newS = oldS + ((value - oldM) * (value - newM));\n\n\t\t\t\tdone = varianceM.compareAndSet(oldMCas, doubleToLongBits(newM)) &&\n\t\t\t\t\t\tvarianceS.compareAndSet(oldSCas, doubleToLongBits(newS));\n\t\t\t}\n\t\t}\n\t}","public GetVarianceArray() {\n\t\tsuper(\"GET_VARIANCE_ARRAY\", Wetrn.WETRN, AppGlobalUnitAdjustment.APP_GLOBAL_UNIT_ADJUSTMENT, org.jooq.impl.DefaultDataType.getDefaultDataType(\"TABLE\"));\n\n\t\tsetReturnParameter(RETURN_VALUE);\n\t\taddInParameter(P_VEHICLE_IDS);\n\t\taddInParameter(P_VARIANCE);\n\t}","public double varianceExponent()\n\t{\n\t\treturn _dblVarianceExponent;\n\t}","public double sampleStandardDeviation() {\n/* 288 */ return Math.sqrt(sampleVariance());\n/* */ }","public double sd() {\n\t\treturn Math.sqrt(var());\n\t}","public double populationStandardDeviation() {\n/* 242 */ return Math.sqrt(populationVariance());\n/* */ }","public static double getVarience(double[] dataArray) {\n\t\t\n\t\tdouble varience = 0.0;\n\t\tdouble average = getAverage(dataArray);\n\t\t\n\t\tfor (int i = 0; i <dataArray.length; i++) {\n\t\t\tvarience += Math.pow((dataArray[i]- average),2);\n\t\t}\n\t\t\n\t\tvarience = varience/dataArray.length;\n\t\treturn varience;\n\t}","private void updateVarianceOfPrediction(int sensor_id){\n\t\t\n\t\tdouble N = current_sensor_readings[sensor_id] - predicted_sensor_readings[sensor_id][0];\n\t\tif(round_number==0){\n\t\t\t\n\t\t\tsigma[sensor_id] = N * N;\n\t\t\t\n\t\t}else if(round_number<=K){\n\t\t\t\n\t\t\tsigma[sensor_id] = (((round_number-1)*sigma[sensor_id]) + (N * N))/(round_number);\n\t\t\t\n\t\t}else{\n\t\t\t\n\t\t\tsigma[sensor_id] = (1-gamma)*sigma[sensor_id] + gamma * N * N;\n\t\t}\n\t}","public void setPVariance(String value) {\n\t\tsetValue(P_VARIANCE, value);\n\t}","public double stddev() {\n\t\tdouble sum = 0;\n\t\tdouble mean = mean();\n\t\tfor(int i = 0; i<myData.length;i++)\n\t\t\tsum+=(myData[i]-mean)*(myData[i]-mean);\n\t\treturn (double) Math.sqrt(sum/(myData.length-1));\n\t}","private void updateMuVariance() {\n\t\tmu = train.getLocalMean(); \n\t\tsigma = train.getLocalVariance(); \n\t\t\n\t\t/*\n\t\t * If the ratio of data variance between dimensions is too small, it \n\t\t * will cause numerical errors. To address this, we artificially boost\n\t\t * the variance by epsilon, a small fraction of the standard deviation\n\t\t * of the largest dimension. \n\t\t * */\n\t\tupdateEpsilon(); \n\t\tsigma = MathUtils.add(sigma, epsilon); \n\t\t\n\t}","public abstract double var (\n\t\tfinal int confidenceCount)\n\t\tthrows java.lang.Exception;","public static float getVariance(ArrayList<StatisticClass> classes, float[] classMiddles, float arithmeticMiddle,\n\t\t\tint sampleSize)\n\t{\n\t\tfloat result;\n\t\tfloat sigmaResult = 0;\n\n\t\tfor (int i = 0; i < classes.size(); i++)\n\t\t{\n\n\t\t\tfloat absOccurence = classes.get(i).getAbsoluteOccurences();\n\t\t\tfloat classMiddle = classMiddles[i];\n\n\t\t\tsigmaResult += absOccurence * Math.pow((classMiddle - arithmeticMiddle), 2);\n\n\t\t}\n\n\t\tresult = sigmaResult / (sampleSize - 1);\n\t\treturn result;\n\t}","public static double[] calGenoVariance(GenotypeMatrix G) {\n\t\tdouble[] axsq = new double[G.getNumMarker()];\n\n\t\tfor (int i = 0; i < G.getNumMarker(); i++) {\n\t\t\tint cnt = 0;\n\t\t\tdouble sq = 0;\n\t\t\tdouble sm = 0;\n\t\t\tfor (int j = 0; j < G.getGRow(); j++) {\n\t\t\t\tint g = G.getAdditiveScore(j, i);\n\t\t\t\tif (g != ConstValues.MISSING_GENOTYPE) {\n\t\t\t\t\tsq += g * g;\n\t\t\t\t\tsm += g;\n\t\t\t\t\tcnt++;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (cnt > 2) {\n\t\t\t\taxsq[i] = (sq - cnt * (sm / cnt) * (sm / cnt)) / (cnt - 1);\n\t\t\t}\n\t\t}\n\n\t\treturn axsq;\n\t}","public Duration getFinishVariance()\r\n {\r\n return (m_finishVariance);\r\n }","public abstract double covariance(double x1, double x2);","private double[] std(Population pop) {\n double[] value = new double[pop.getIndividual(0).getNumGenes()];\n double [] m = mean(pop);\n //for all individuals\n Iterator<Individual> it = pop.getIterator();\n while (it.hasNext()) {\n Individual ind = it.next();\n //sum the value of the gene\n for (int i = 0; i < value.length; i++) {\n value[i] += Math.pow( ind.getGeneValue(i) - m[i],2);\n }\n }\n //divide by the number of individuals - 1\n for (int i = 0; i < value.length; i++) {\n value[i] = Math.sqrt( value[i] /(pop.getNumGenotypes()-1));\n }\n return value;\n }","@Override\r\n\tpublic void sub(float var) {\n\t\t\r\n\t}","protected double sigma(Vector3 v) {\n double c1, c2;\n switch (dominantAxis) {\n case X:\n c1 = v.y;\n c2 = v.z;\n break;\n case Y:\n c1 = v.x;\n c2 = v.z;\n break;\n case Z:\n c1 = v.x;\n c2 = v.y;\n break;\n default:\n return -1;\n }\n\n return Math.sqrt(c1 * c1 + c2 * c2);\n }","public void StandardDeviation(){\r\n\t\tAverage();\r\n\t\tif (count<=1){\r\n\t\t\tSystem.out.println(\"The Standard Deviation is \"+0.0);\r\n\t\t}\r\n\t\telse {\r\n\t\t\tStandardDeviation=(float)Math.sqrt((Total2-Total*Total/count)/(count-1));\r\n\t\t}\r\n\t}","public Double getEstimatedTransmittedPowerVariance() {\n return mEstimatedTransmittedPowerVariance;\n }","public Double getEstimatedTransmittedPowerVariance() {\n return mEstimatedTransmittedPowerVariance;\n }","public abstract double var (\n\t\tfinal double confidenceLevel)\n\t\tthrows java.lang.Exception;","public double stddev(){\n return StdStats.stddev(percentage);\n }","public void setStartVariance(Duration startVariance)\r\n {\r\n m_startVariance = startVariance;\r\n }","public double stddev() {\n\t\tif (experiments == 1)\n\t\t\treturn Double.NaN;\n\t\treturn stddev;\n\t}","public double getSigma() {\n return sigma;\n }","public double std(double data[], double mean) {\r\n\t\tdouble std = 0;\r\n\t\ttry {\r\n\t\t\tfor(int i=0;i<data.length;i++) {\r\n\t\t\t\tstd =std+((data[i]-mean)*(data[i]-mean));\r\n\t\t\t}\r\n\t\t\tstd = Math.sqrt(std / (data.length-1));\r\n\t\t}\r\n\t\tcatch(Exception e) {\r\n\t\t\tDataMaster.logger.warning(e.toString());\r\n\t\t\t//e.printStackTrace();\r\n\t\t}\r\n\t\treturn std;\r\n\t}","public double stddev() {\n double sum = sampleMean;\n sum = 0;\n for (int i = 0; i < sites.length; i++) {\n// sum += (Double.parseDouble(sites[i] + \"\") / size - sampleMean) \n// * (Double.parseDouble(sites[i] + \"\") / size - sampleMean);\n sum += (sites[i]/size - sampleMean) \n * (sites[i]/size - sampleMean);\n }\n sampleStanDevi = Math.sqrt(sum / (times - 1));\n return sampleStanDevi;\n }","public double averageVolume() {\n if (numberOfIcosahedrons() == 0) {\n return 0;\n }\n else {\n return totalVolume() / numberOfIcosahedrons();\n }\n }","public double getSigma() {\n return sigma;\n }","public double stddev() {\n return StdStats.stddev(fraction);\n }","public double stddev() { \n return StdStats.stddev(result);\n }","public Double getEstimatedPathLossExponentVariance() {\n return mEstimatedPathLossExponentVariance;\n }","public Double getEstimatedPathLossExponentVariance() {\n return mEstimatedPathLossExponentVariance;\n }","public Matrix getCovariance() {\n return mCovariance;\n }","public Matrix getCovariance() {\n return mCovariance;\n }","public double getVolga() {\r\n return volga;\r\n }","public double getCovariance(final int i, final int j) {\n double sum = 0;\n double meanI;\n double meanJ;\n int numPoints = getNumPoints();\n\n meanI = getMean(i);\n meanJ = getMean(j);\n\n for (int index = 0; index < numPoints; index++) {\n sum += ((getComponent(index, i) - meanI) * (getComponent(index, j) - meanJ));\n }\n\n return sum / (numPoints);\n }","public double getVolume() {\n\n double volume = 0;\n\n double[] v = this.getVertices();\n int[] f = this.getFaces();\n\n for (int i = 0; i < f.length; i += 6) {\n Vector3D v0 = new Vector3D(v[3 * f[i]], v[3 * f[i] + 1], v[3 * f[i] + 2]);\n Vector3D v1 = new Vector3D(v[3 * f[i + 2]], v[3 * f[i + 2] + 1], v[3 * f[i + 2] + 2]);\n Vector3D v2 = new Vector3D(v[3 * f[i + 4]], v[3 * f[i + 4] + 1], v[3 * f[i + 4] + 2]);\n\n v0 = v0.crossProduct(v1);\n volume += v0.dotProduct(v2);\n }\n\n return Math.abs(volume / 6.0);\n }","public double stddev() {\n return sig;\n }","public double mleVar() {\n\t\tint n = this.getAttCount();\n\t\tif (n == 0) return Constants.UNUSED;\n\n\t\tdouble mean = mean();\n\t\tdouble sum = 0;\n\t\tfor (int i = 0; i < n; i++) {\n\t\t\tdouble v = this.getValueAsReal(i);\n\t\t\tdouble deviation = v - mean;\n\t\t\tsum += deviation * deviation;\n\t\t}\n\t\treturn sum / (double)n;\n\t}","public float getSDev() {\r\n int sumStdError = 0; // SIGMA(x_i - x_bar)\r\n int size = rbt.size() - 1;\r\n float mean = getMean();\r\n List<Integer> rbtArray = createArray(rbt.root);\r\n\r\n // calculate sumStdError\r\n for (int i = 0; i < rbtArray.size(); i++) {\r\n float gradeData = rbtArray.get(i);\r\n float error = gradeData - mean;\r\n sumStdError += error;\r\n }\r\n\r\n return (float) Math.sqrt((sumStdError ^ 2) / size);\r\n }","public abstract float volume();","public double stddev() {\n return StdStats.stddev(stats);\r\n }","public double se() {\n\t\tint n = this.getAttCount();\n\t\tif (n == 0)\n\t\t\treturn Constants.UNUSED;\n\t\telse\n\t\t\treturn Math.sqrt(var() / n);\n\t}","@Test\n public void computeResult_addsNoiseToSum() {\n mockDoubleNoise(-10);\n // Mock the noise mechanism so that it adds noise to the count == 0.\n mockLongNoise(0);\n\n variance =\n BoundedVariance.builder()\n .epsilon(EPSILON)\n .delta(DELTA)\n .noise(noise)\n .maxPartitionsContributed(1)\n .maxContributionsPerPartition(1)\n .lower(-100)\n .upper(100)\n .build();\n\n variance.addEntry(10);\n variance.addEntry(10);\n // midpoint = (lower + upper) / 2 = 0,\n // noised_normalized_sum_of_squares = (x1 - midpoint)^2 + (x2 - midpoint)^2 + noise = 10^2 +\n // 10^2 - 10 = 190,\n // noised_normalized_sum = (x1 + x2) - midpoint * count + noise = 10 + 10 - 0 - 10 = 10,\n // noised_count = count + noise = 2 + 0 = 2,\n // BoundedVariance.computeResult() = noised_normalized_sum_of_squares / noised_count -\n // (noised_normalized_sum / noised_count)^2 = 190 / 2 - (10 / 2)^2 = 70\n assertThat(variance.computeResult()).isEqualTo(70.0);\n }","@Test\n public void computeResult_clampsTooHighVariance() {\n mockDoubleNoise(1);\n // The noise added to count is 0.\n mockLongNoise(0);\n\n variance =\n BoundedVariance.builder()\n .epsilon(EPSILON)\n .delta(DELTA)\n .noise(noise)\n .maxPartitionsContributed(1)\n .maxContributionsPerPartition(1)\n .lower(0.0)\n .upper(0.25)\n .build();\n\n variance.addEntry(0.25);\n variance.addEntry(0.25);\n // midpoint = (lower + upper) / 2 = 0.125,\n // noised_normalized_sum_of_squares = (x1 - midpoint)^2 + (x2 - midpoint)^2 + noise = 1.03125,\n // noised_normalized_sum = (x1 + x2) - midpoint * count + noise = 0.25 + 0.25 - 0.125 * 2 + 1 =\n // 1.25,\n // noised_count = count + noise = 2 + 0 = 2,\n // non_clamped_variance = noised_normalized_sum_of_squares / noised_count -\n // (noised_normalized_sum / noised_count)^2 = 1.03125 / 2 - (1.25 / 2)^2 = 0.125\n // BoundedVariance.computeResult = clamp(non_clamped_variance) = (0.25 - 0)^2 / 4 = 0.015625\n // (upper bound).\n assertThat(variance.computeResult()).isEqualTo(0.015625);\n }","@Override\n\tpublic double getvolume(){\n\t\tdouble[] ab_cross_ac = calculate_vcp(getVector_AB(),getVector_AC());\n\t\t\n\t\t//dot product of ab_cross_ac and ad\n\t\tdouble S = calculate_vdp(ab_cross_ac,getVector_AD());\n\t\t\n\t\t//formula of tetrahedron's volume\n\t\treturn Math.abs(S)/6;\t\n\t}","public static void avevar(final double[] data, final $double ave, final $double var) {\n double s, ep;\r\n int j, n = data.length;\r\n ave.$(0.0);\r\n for (j = 0; j < n; j++)\r\n ave.$(ave.$() + data[j]);\r\n ave.$(ave.$() / n);\r\n var.$(ep = 0.0);\r\n for (j = 0; j < n; j++) {\r\n s = data[j] - ave.$();\r\n ep += s;\r\n var.$(var.$() + (s * s));\r\n }\r\n var.$((var.$() - ep * ep / n) / (n - 1)); // Corrected two-pass\r\n // formula (14.1.8).\r\n }","@Override\n\tpublic int avg() {\n\t\treturn (this.sum()/3);\n\t}","public double stddev() {\n return StdStats.stddev(perThreshold);\n }","public double stddev() {\n\t\t return StdStats.stddev(results);\n\t }","public double calcVolume(){\n double area=calcArea(); // calcArea of superclass used\r\n return area*h;\r\n }","public double getStandardDeviation() {\r\n\t\tdouble standDev=0;\r\n\t\tdouble avgD=getAverageDuration();\r\n\t\tdouble zaehler=0;\r\n\t\tfor(int a=0;a<populationSize();a++) {\r\n\t\t\tzaehler+=Math.pow((avgD-getTour(a).getDuration()), 2);\r\n\t\t}\r\n\t\tstandDev=Math.pow((zaehler/populationSize()), 0.5);\r\n\t\treturn standDev;\r\n\t }","public abstract double volume();","public double average(){\n double avg = 0;\n double sum = 0;\n for (T t : arr) {\n // sum += t.doubleValue();\n }\n\n return sum / arr.length;\n }","public void setVega(double value) {\r\n this.vega = value;\r\n }","public double getAverage(){\n return getTotal()/array.length;\n }","@Test\n public void testVar() {\n System.out.println(\"var\");\n NegativeBinomialDistribution instance = new NegativeBinomialDistribution(3, 0.3);\n instance.rand();\n assertEquals(7/0.3, instance.var(), 1E-7);\n }","public java.lang.Double getVar202() {\n return var202;\n }","public double getUnbiasedStandardDeviation() {\n return Math.sqrt(getUnBiasedVariance());\n }","double average();","public static double getArrayListDoubleVariance(ArrayList<Double> list) {\n\t\treturn 0;\n\t}","public double stddev() {\n return StdStats.stddev(results);\n }","public double getVega() {\r\n return vega;\r\n }","public double stddev() {\n if (threshold.length == 1) {\n return Double.NaN;\n }\n return StdStats.stddev(threshold);\n }","public MeanVar(double[] data) {\n\t\tfor (int i = 0; i < data.length; i++)\n\t\t\taddValue(data[i]);\n\t}","public double stddev() {\r\n\t\treturn stddev;\r\n\t}","public float getVolum() {\n return volum;\n }"],"string":"[\n \"public Double getVariance() {\\n return variance;\\n }\",\n \"public double variance() {\\n final double average = average();\\n final int size = size();\\n\\n int cnt = 0;\\n double rval = 0;\\n\\n // Compute the variance\\n for (int i = 0; i < size; i++) {\\n final Number number = get(i);\\n if (number == null) continue;\\n if (Double.isNaN(number.doubleValue())) continue;\\n\\n rval += (average - number.doubleValue()) * (average - number.doubleValue());\\n cnt++;\\n }\\n\\n // If we haven't had any element, return 0\\n if (cnt == 0) return 0;\\n\\n return rval / cnt;\\n }\",\n \"public double getVariance()\\r\\n\\t{\\r\\n\\t\\tlong tmp = lastSampleTime - firstSampleTime;\\r\\n\\t\\treturn ( tmp > 0 ? (sumPowerTwo/tmp - getMean()*getMean()) : 0);\\r\\n\\t}\",\n \"public double getVariance(){\\n\\t\\treturn (double)sampleSize * type1Size * (populationSize - type1Size) *\\n\\t\\t\\t(populationSize - sampleSize) / ( populationSize * populationSize * (populationSize - 1));\\n\\t}\",\n \"public double sampleVariance() {\\n/* 262 */ Preconditions.checkState((this.count > 1L));\\n/* 263 */ if (Double.isNaN(this.sumOfSquaresOfDeltas)) {\\n/* 264 */ return Double.NaN;\\n/* */ }\\n/* 266 */ return DoubleUtils.ensureNonNegative(this.sumOfSquaresOfDeltas) / (this.count - 1L);\\n/* */ }\",\n \"public double getVariance(){\\n\\t\\tdouble a = location + scale * scale;\\n\\t\\treturn Math.exp(2 * a) - Math.exp(location + a);\\n\\t}\",\n \"public double populationVariance() {\\n/* 215 */ Preconditions.checkState((this.count > 0L));\\n/* 216 */ if (Double.isNaN(this.sumOfSquaresOfDeltas)) {\\n/* 217 */ return Double.NaN;\\n/* */ }\\n/* 219 */ if (this.count == 1L) {\\n/* 220 */ return 0.0D;\\n/* */ }\\n/* 222 */ return DoubleUtils.ensureNonNegative(this.sumOfSquaresOfDeltas) / count();\\n/* */ }\",\n \"public double empiricalVariance()\\n\\t{\\n\\t\\treturn _dblEmpiricalVariance;\\n\\t}\",\n \"private double[] varianceArray(){\\n\\t\\tdouble[] varianceVals = new double[values.length];\\n\\t\\tfor(int i = 0; i < values.length; i++){\\n\\t\\t\\tvarianceVals[i] = Math.pow(values[i] - mean , 2.0);\\n\\t\\t}\\n\\t\\treturn varianceVals;\\n\\t}\",\n \"public double varianceOfMean() {\\n\\t\\treturn variance() * getWeight();\\n\\t}\",\n \"private static double varianceVal(double[] arrayOfSamples, double mean){\\n\\t double v = 0;\\n\\t for(double i :arrayOfSamples)\\n\\t v += Math.pow((mean-i), 2);\\n\\t return v / arrayOfSamples.length;\\n\\t}\",\n \"public double variance(double m)\\n {\\n double var = 0.0;\\n \\n for(int t = 0; t<size; t++)\\n {\\n double dev = x[t] - m;\\n var += dev*dev;\\n }\\n return var/size;\\n }\",\n \"private int getVariance (int[] times) {\\n\\n\\t\\t//Get the mean time of all the vehicles\\n\\t\\tint mean = getMean(times);\\n\\t\\t//Variable to store the sum of squares\\n\\t\\tint sumOfSquares = 0;\\n\\n\\t\\t//Loop through all times in the array\\n\\t\\tfor (int i = 0; i < times.length; i++) {\\n\\n\\t\\t\\t//Calculate the sum of squares\\n\\t\\t\\tsumOfSquares += Math.pow((times[i] - mean), 2);\\n\\t\\t}\\n\\n\\t\\t//Calculate and return the variance \\n\\t\\tint variance = sumOfSquares/times.length;\\n\\t\\treturn variance;\\n\\t}\",\n \"public static Double computeVariance(final Double[] values) {\\n\\t\\treturn computeVariance(values, 0, values.length);\\n\\t}\",\n \"public double populationVariance()\\n\\t{\\n\\t\\treturn null == _distPopulation ? java.lang.Double.NaN : _distPopulation.variance();\\n\\t}\",\n \"private void updateVariance() {\\r\\n double variance = 0.0;\\r\\n updateMean();\\r\\n for (Tweet t : members) {\\r\\n variance += ((t.getDateLong() - this.mean) * (t.getDateLong() - this.mean));\\r\\n }\\r\\n variance /= members.size();\\r\\n this.variance = variance;\\r\\n }\",\n \"public double var() {\\n\\t\\tint n = this.getAttCount();\\n\\t\\tif (n < 2) return Constants.UNUSED;\\n\\n\\t\\tdouble mean = mean();\\n\\t\\tdouble sum = 0;\\n\\t\\tfor (int i = 0; i < n; i++) {\\n\\t\\t\\tdouble v = this.getValueAsReal(i);\\n\\t\\t\\tdouble deviation = v - mean;\\n\\t\\t\\tsum += deviation * deviation;\\n\\t\\t}\\n\\t\\treturn sum / (double)(n - 1);\\n\\t}\",\n \"protected void setVariance(double value) {\\n\\t variance = value;\\n\\t}\",\n \"protected void setVariance(double value) {\\n\\t variance = value;\\n\\t}\",\n \"public double sampleVarianceOfMean() {\\n\\t\\treturn sampleVariance() * getWeight();\\n\\t}\",\n \"public double varianceBackcast()\\n {\\n double unconditionalVariance = variance(0.0);\\n // why do they compute the unconditional variance if they don't\\n // use it afterwards?\\n \\n double lambda = .7;\\n double sigsum = 0.0;\\n for(int t = 0; t<size; t++)\\n sigsum += Math.pow(lambda, size - t - 1.0)*getSqrQuote(size - t);\\n \\n // This doesn't make sense to me...\\n // looks like a convex hull of sigsum and something else,\\n // except lambda is raised to the n-th power...\\n return Math.pow(lambda, size) + (1.0 - lambda)*sigsum;\\n }\",\n \"double getVariation();\",\n \"public static Double computeVariance(final Double[] values,\\n\\t\\t\\tfinal Double mean) {\\n\\t\\treturn computeVariance(values, 0, values.length, mean);\\n\\t}\",\n \"private double computeVariance(Queue<Integer> q, int maxLength){ \\n if(q.size() < maxLength-1) return Double.NaN; //we dont have a full queue yet, so dont output a valid variance\\n Queue<Integer> q_tmp=new LinkedList(q);\\n int sum = 0;\\n int n=q.size();\\n while(q_tmp.size()>0){\\n sum = sum + q_tmp.remove();\\n }\\n double mean= sum/n;\\n double vsum = 0;\\n q_tmp=new LinkedList(q); // NB you have to do this to copy the queue and not just make a reference to it\\n while(q_tmp.size()>0){\\n int k = q_tmp.remove();\\n vsum = vsum + Math.pow(k-mean,2);\\n }\\n return vsum/(n-1);\\n }\",\n \"public double stdDev() {\\n\\t\\tif (count() > 0) {\\n\\t\\t\\treturn sqrt(variance());\\n\\t\\t}\\n\\t\\treturn 0.0;\\n\\t}\",\n \"public double getDefaultVariance()\\n {\\n return this.defaultVariance;\\n }\",\n \"public double standarddeviation() {\\n return Math.sqrt(variance());\\n }\",\n \"public Duration getStartVariance()\\r\\n {\\r\\n return (m_startVariance);\\r\\n }\",\n \"public static double calculateVariance(double[][] targetVariables) {\\r\\n double[][] mean = FindPrototype.findOptimalPrototype(targetVariables);\\r\\n\\r\\n int N = targetVariables.length;\\r\\n\\r\\n double numerator = 0;\\r\\n\\r\\n for (int i = 0; i < N; i++) {\\r\\n numerator += EuclideanDistance.calculateEuclideanDistance(Gets.getRowFromMatix(i, targetVariables), mean);\\r\\n }\\r\\n \\r\\n if (N - 1 == 0) {\\r\\n return 0;\\r\\n } else {\\r\\n return numerator / (N - 1);\\r\\n }\\r\\n }\",\n \"public static Double computeVariance(final Double[] values, int offset,\\n\\t\\t\\tfinal int number, final Double mean) {\\n\\t\\tif (number < 2) {\\n\\t\\t\\tthrow new IllegalArgumentException(\\n\\t\\t\\t\\t\\t\\\"The number of values to process must be two or larger.\\\");\\n\\t\\t}\\n\\t\\tDouble sum = 0.0;\\n\\t\\tfinal int UNTIL = offset + number;\\n\\t\\tdo {\\n\\t\\t\\tDouble diff = values[offset++] - mean;\\n\\t\\t\\tsum += diff * diff;\\n\\t\\t} while (offset != UNTIL);\\n\\t\\treturn sum / (number - 1);\\n\\t}\",\n \"private void updateVariance(long value) {\\n\\t\\tif (!varianceM.compareAndSet(-1, doubleToLongBits(value))) {\\n\\t\\t\\tboolean done = false;\\n\\t\\t\\twhile (!done) {\\n\\t\\t\\t\\tfinal long oldMCas = varianceM.get();\\n\\t\\t\\t\\tfinal double oldM = longBitsToDouble(oldMCas);\\n\\t\\t\\t\\tfinal double newM = oldM + ((value - oldM) / count());\\n\\n\\t\\t\\t\\tfinal long oldSCas = varianceS.get();\\n\\t\\t\\t\\tfinal double oldS = longBitsToDouble(oldSCas);\\n\\t\\t\\t\\tfinal double newS = oldS + ((value - oldM) * (value - newM));\\n\\n\\t\\t\\t\\tdone = varianceM.compareAndSet(oldMCas, doubleToLongBits(newM)) &&\\n\\t\\t\\t\\t\\t\\tvarianceS.compareAndSet(oldSCas, doubleToLongBits(newS));\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public GetVarianceArray() {\\n\\t\\tsuper(\\\"GET_VARIANCE_ARRAY\\\", Wetrn.WETRN, AppGlobalUnitAdjustment.APP_GLOBAL_UNIT_ADJUSTMENT, org.jooq.impl.DefaultDataType.getDefaultDataType(\\\"TABLE\\\"));\\n\\n\\t\\tsetReturnParameter(RETURN_VALUE);\\n\\t\\taddInParameter(P_VEHICLE_IDS);\\n\\t\\taddInParameter(P_VARIANCE);\\n\\t}\",\n \"public double varianceExponent()\\n\\t{\\n\\t\\treturn _dblVarianceExponent;\\n\\t}\",\n \"public double sampleStandardDeviation() {\\n/* 288 */ return Math.sqrt(sampleVariance());\\n/* */ }\",\n \"public double sd() {\\n\\t\\treturn Math.sqrt(var());\\n\\t}\",\n \"public double populationStandardDeviation() {\\n/* 242 */ return Math.sqrt(populationVariance());\\n/* */ }\",\n \"public static double getVarience(double[] dataArray) {\\n\\t\\t\\n\\t\\tdouble varience = 0.0;\\n\\t\\tdouble average = getAverage(dataArray);\\n\\t\\t\\n\\t\\tfor (int i = 0; i <dataArray.length; i++) {\\n\\t\\t\\tvarience += Math.pow((dataArray[i]- average),2);\\n\\t\\t}\\n\\t\\t\\n\\t\\tvarience = varience/dataArray.length;\\n\\t\\treturn varience;\\n\\t}\",\n \"private void updateVarianceOfPrediction(int sensor_id){\\n\\t\\t\\n\\t\\tdouble N = current_sensor_readings[sensor_id] - predicted_sensor_readings[sensor_id][0];\\n\\t\\tif(round_number==0){\\n\\t\\t\\t\\n\\t\\t\\tsigma[sensor_id] = N * N;\\n\\t\\t\\t\\n\\t\\t}else if(round_number<=K){\\n\\t\\t\\t\\n\\t\\t\\tsigma[sensor_id] = (((round_number-1)*sigma[sensor_id]) + (N * N))/(round_number);\\n\\t\\t\\t\\n\\t\\t}else{\\n\\t\\t\\t\\n\\t\\t\\tsigma[sensor_id] = (1-gamma)*sigma[sensor_id] + gamma * N * N;\\n\\t\\t}\\n\\t}\",\n \"public void setPVariance(String value) {\\n\\t\\tsetValue(P_VARIANCE, value);\\n\\t}\",\n \"public double stddev() {\\n\\t\\tdouble sum = 0;\\n\\t\\tdouble mean = mean();\\n\\t\\tfor(int i = 0; i<myData.length;i++)\\n\\t\\t\\tsum+=(myData[i]-mean)*(myData[i]-mean);\\n\\t\\treturn (double) Math.sqrt(sum/(myData.length-1));\\n\\t}\",\n \"private void updateMuVariance() {\\n\\t\\tmu = train.getLocalMean(); \\n\\t\\tsigma = train.getLocalVariance(); \\n\\t\\t\\n\\t\\t/*\\n\\t\\t * If the ratio of data variance between dimensions is too small, it \\n\\t\\t * will cause numerical errors. To address this, we artificially boost\\n\\t\\t * the variance by epsilon, a small fraction of the standard deviation\\n\\t\\t * of the largest dimension. \\n\\t\\t * */\\n\\t\\tupdateEpsilon(); \\n\\t\\tsigma = MathUtils.add(sigma, epsilon); \\n\\t\\t\\n\\t}\",\n \"public abstract double var (\\n\\t\\tfinal int confidenceCount)\\n\\t\\tthrows java.lang.Exception;\",\n \"public static float getVariance(ArrayList<StatisticClass> classes, float[] classMiddles, float arithmeticMiddle,\\n\\t\\t\\tint sampleSize)\\n\\t{\\n\\t\\tfloat result;\\n\\t\\tfloat sigmaResult = 0;\\n\\n\\t\\tfor (int i = 0; i < classes.size(); i++)\\n\\t\\t{\\n\\n\\t\\t\\tfloat absOccurence = classes.get(i).getAbsoluteOccurences();\\n\\t\\t\\tfloat classMiddle = classMiddles[i];\\n\\n\\t\\t\\tsigmaResult += absOccurence * Math.pow((classMiddle - arithmeticMiddle), 2);\\n\\n\\t\\t}\\n\\n\\t\\tresult = sigmaResult / (sampleSize - 1);\\n\\t\\treturn result;\\n\\t}\",\n \"public static double[] calGenoVariance(GenotypeMatrix G) {\\n\\t\\tdouble[] axsq = new double[G.getNumMarker()];\\n\\n\\t\\tfor (int i = 0; i < G.getNumMarker(); i++) {\\n\\t\\t\\tint cnt = 0;\\n\\t\\t\\tdouble sq = 0;\\n\\t\\t\\tdouble sm = 0;\\n\\t\\t\\tfor (int j = 0; j < G.getGRow(); j++) {\\n\\t\\t\\t\\tint g = G.getAdditiveScore(j, i);\\n\\t\\t\\t\\tif (g != ConstValues.MISSING_GENOTYPE) {\\n\\t\\t\\t\\t\\tsq += g * g;\\n\\t\\t\\t\\t\\tsm += g;\\n\\t\\t\\t\\t\\tcnt++;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\tif (cnt > 2) {\\n\\t\\t\\t\\taxsq[i] = (sq - cnt * (sm / cnt) * (sm / cnt)) / (cnt - 1);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\treturn axsq;\\n\\t}\",\n \"public Duration getFinishVariance()\\r\\n {\\r\\n return (m_finishVariance);\\r\\n }\",\n \"public abstract double covariance(double x1, double x2);\",\n \"private double[] std(Population pop) {\\n double[] value = new double[pop.getIndividual(0).getNumGenes()];\\n double [] m = mean(pop);\\n //for all individuals\\n Iterator<Individual> it = pop.getIterator();\\n while (it.hasNext()) {\\n Individual ind = it.next();\\n //sum the value of the gene\\n for (int i = 0; i < value.length; i++) {\\n value[i] += Math.pow( ind.getGeneValue(i) - m[i],2);\\n }\\n }\\n //divide by the number of individuals - 1\\n for (int i = 0; i < value.length; i++) {\\n value[i] = Math.sqrt( value[i] /(pop.getNumGenotypes()-1));\\n }\\n return value;\\n }\",\n \"@Override\\r\\n\\tpublic void sub(float var) {\\n\\t\\t\\r\\n\\t}\",\n \"protected double sigma(Vector3 v) {\\n double c1, c2;\\n switch (dominantAxis) {\\n case X:\\n c1 = v.y;\\n c2 = v.z;\\n break;\\n case Y:\\n c1 = v.x;\\n c2 = v.z;\\n break;\\n case Z:\\n c1 = v.x;\\n c2 = v.y;\\n break;\\n default:\\n return -1;\\n }\\n\\n return Math.sqrt(c1 * c1 + c2 * c2);\\n }\",\n \"public void StandardDeviation(){\\r\\n\\t\\tAverage();\\r\\n\\t\\tif (count<=1){\\r\\n\\t\\t\\tSystem.out.println(\\\"The Standard Deviation is \\\"+0.0);\\r\\n\\t\\t}\\r\\n\\t\\telse {\\r\\n\\t\\t\\tStandardDeviation=(float)Math.sqrt((Total2-Total*Total/count)/(count-1));\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public Double getEstimatedTransmittedPowerVariance() {\\n return mEstimatedTransmittedPowerVariance;\\n }\",\n \"public Double getEstimatedTransmittedPowerVariance() {\\n return mEstimatedTransmittedPowerVariance;\\n }\",\n \"public abstract double var (\\n\\t\\tfinal double confidenceLevel)\\n\\t\\tthrows java.lang.Exception;\",\n \"public double stddev(){\\n return StdStats.stddev(percentage);\\n }\",\n \"public void setStartVariance(Duration startVariance)\\r\\n {\\r\\n m_startVariance = startVariance;\\r\\n }\",\n \"public double stddev() {\\n\\t\\tif (experiments == 1)\\n\\t\\t\\treturn Double.NaN;\\n\\t\\treturn stddev;\\n\\t}\",\n \"public double getSigma() {\\n return sigma;\\n }\",\n \"public double std(double data[], double mean) {\\r\\n\\t\\tdouble std = 0;\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tfor(int i=0;i<data.length;i++) {\\r\\n\\t\\t\\t\\tstd =std+((data[i]-mean)*(data[i]-mean));\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tstd = Math.sqrt(std / (data.length-1));\\r\\n\\t\\t}\\r\\n\\t\\tcatch(Exception e) {\\r\\n\\t\\t\\tDataMaster.logger.warning(e.toString());\\r\\n\\t\\t\\t//e.printStackTrace();\\r\\n\\t\\t}\\r\\n\\t\\treturn std;\\r\\n\\t}\",\n \"public double stddev() {\\n double sum = sampleMean;\\n sum = 0;\\n for (int i = 0; i < sites.length; i++) {\\n// sum += (Double.parseDouble(sites[i] + \\\"\\\") / size - sampleMean) \\n// * (Double.parseDouble(sites[i] + \\\"\\\") / size - sampleMean);\\n sum += (sites[i]/size - sampleMean) \\n * (sites[i]/size - sampleMean);\\n }\\n sampleStanDevi = Math.sqrt(sum / (times - 1));\\n return sampleStanDevi;\\n }\",\n \"public double averageVolume() {\\n if (numberOfIcosahedrons() == 0) {\\n return 0;\\n }\\n else {\\n return totalVolume() / numberOfIcosahedrons();\\n }\\n }\",\n \"public double getSigma() {\\n return sigma;\\n }\",\n \"public double stddev() {\\n return StdStats.stddev(fraction);\\n }\",\n \"public double stddev() { \\n return StdStats.stddev(result);\\n }\",\n \"public Double getEstimatedPathLossExponentVariance() {\\n return mEstimatedPathLossExponentVariance;\\n }\",\n \"public Double getEstimatedPathLossExponentVariance() {\\n return mEstimatedPathLossExponentVariance;\\n }\",\n \"public Matrix getCovariance() {\\n return mCovariance;\\n }\",\n \"public Matrix getCovariance() {\\n return mCovariance;\\n }\",\n \"public double getVolga() {\\r\\n return volga;\\r\\n }\",\n \"public double getCovariance(final int i, final int j) {\\n double sum = 0;\\n double meanI;\\n double meanJ;\\n int numPoints = getNumPoints();\\n\\n meanI = getMean(i);\\n meanJ = getMean(j);\\n\\n for (int index = 0; index < numPoints; index++) {\\n sum += ((getComponent(index, i) - meanI) * (getComponent(index, j) - meanJ));\\n }\\n\\n return sum / (numPoints);\\n }\",\n \"public double getVolume() {\\n\\n double volume = 0;\\n\\n double[] v = this.getVertices();\\n int[] f = this.getFaces();\\n\\n for (int i = 0; i < f.length; i += 6) {\\n Vector3D v0 = new Vector3D(v[3 * f[i]], v[3 * f[i] + 1], v[3 * f[i] + 2]);\\n Vector3D v1 = new Vector3D(v[3 * f[i + 2]], v[3 * f[i + 2] + 1], v[3 * f[i + 2] + 2]);\\n Vector3D v2 = new Vector3D(v[3 * f[i + 4]], v[3 * f[i + 4] + 1], v[3 * f[i + 4] + 2]);\\n\\n v0 = v0.crossProduct(v1);\\n volume += v0.dotProduct(v2);\\n }\\n\\n return Math.abs(volume / 6.0);\\n }\",\n \"public double stddev() {\\n return sig;\\n }\",\n \"public double mleVar() {\\n\\t\\tint n = this.getAttCount();\\n\\t\\tif (n == 0) return Constants.UNUSED;\\n\\n\\t\\tdouble mean = mean();\\n\\t\\tdouble sum = 0;\\n\\t\\tfor (int i = 0; i < n; i++) {\\n\\t\\t\\tdouble v = this.getValueAsReal(i);\\n\\t\\t\\tdouble deviation = v - mean;\\n\\t\\t\\tsum += deviation * deviation;\\n\\t\\t}\\n\\t\\treturn sum / (double)n;\\n\\t}\",\n \"public float getSDev() {\\r\\n int sumStdError = 0; // SIGMA(x_i - x_bar)\\r\\n int size = rbt.size() - 1;\\r\\n float mean = getMean();\\r\\n List<Integer> rbtArray = createArray(rbt.root);\\r\\n\\r\\n // calculate sumStdError\\r\\n for (int i = 0; i < rbtArray.size(); i++) {\\r\\n float gradeData = rbtArray.get(i);\\r\\n float error = gradeData - mean;\\r\\n sumStdError += error;\\r\\n }\\r\\n\\r\\n return (float) Math.sqrt((sumStdError ^ 2) / size);\\r\\n }\",\n \"public abstract float volume();\",\n \"public double stddev() {\\n return StdStats.stddev(stats);\\r\\n }\",\n \"public double se() {\\n\\t\\tint n = this.getAttCount();\\n\\t\\tif (n == 0)\\n\\t\\t\\treturn Constants.UNUSED;\\n\\t\\telse\\n\\t\\t\\treturn Math.sqrt(var() / n);\\n\\t}\",\n \"@Test\\n public void computeResult_addsNoiseToSum() {\\n mockDoubleNoise(-10);\\n // Mock the noise mechanism so that it adds noise to the count == 0.\\n mockLongNoise(0);\\n\\n variance =\\n BoundedVariance.builder()\\n .epsilon(EPSILON)\\n .delta(DELTA)\\n .noise(noise)\\n .maxPartitionsContributed(1)\\n .maxContributionsPerPartition(1)\\n .lower(-100)\\n .upper(100)\\n .build();\\n\\n variance.addEntry(10);\\n variance.addEntry(10);\\n // midpoint = (lower + upper) / 2 = 0,\\n // noised_normalized_sum_of_squares = (x1 - midpoint)^2 + (x2 - midpoint)^2 + noise = 10^2 +\\n // 10^2 - 10 = 190,\\n // noised_normalized_sum = (x1 + x2) - midpoint * count + noise = 10 + 10 - 0 - 10 = 10,\\n // noised_count = count + noise = 2 + 0 = 2,\\n // BoundedVariance.computeResult() = noised_normalized_sum_of_squares / noised_count -\\n // (noised_normalized_sum / noised_count)^2 = 190 / 2 - (10 / 2)^2 = 70\\n assertThat(variance.computeResult()).isEqualTo(70.0);\\n }\",\n \"@Test\\n public void computeResult_clampsTooHighVariance() {\\n mockDoubleNoise(1);\\n // The noise added to count is 0.\\n mockLongNoise(0);\\n\\n variance =\\n BoundedVariance.builder()\\n .epsilon(EPSILON)\\n .delta(DELTA)\\n .noise(noise)\\n .maxPartitionsContributed(1)\\n .maxContributionsPerPartition(1)\\n .lower(0.0)\\n .upper(0.25)\\n .build();\\n\\n variance.addEntry(0.25);\\n variance.addEntry(0.25);\\n // midpoint = (lower + upper) / 2 = 0.125,\\n // noised_normalized_sum_of_squares = (x1 - midpoint)^2 + (x2 - midpoint)^2 + noise = 1.03125,\\n // noised_normalized_sum = (x1 + x2) - midpoint * count + noise = 0.25 + 0.25 - 0.125 * 2 + 1 =\\n // 1.25,\\n // noised_count = count + noise = 2 + 0 = 2,\\n // non_clamped_variance = noised_normalized_sum_of_squares / noised_count -\\n // (noised_normalized_sum / noised_count)^2 = 1.03125 / 2 - (1.25 / 2)^2 = 0.125\\n // BoundedVariance.computeResult = clamp(non_clamped_variance) = (0.25 - 0)^2 / 4 = 0.015625\\n // (upper bound).\\n assertThat(variance.computeResult()).isEqualTo(0.015625);\\n }\",\n \"@Override\\n\\tpublic double getvolume(){\\n\\t\\tdouble[] ab_cross_ac = calculate_vcp(getVector_AB(),getVector_AC());\\n\\t\\t\\n\\t\\t//dot product of ab_cross_ac and ad\\n\\t\\tdouble S = calculate_vdp(ab_cross_ac,getVector_AD());\\n\\t\\t\\n\\t\\t//formula of tetrahedron's volume\\n\\t\\treturn Math.abs(S)/6;\\t\\n\\t}\",\n \"public static void avevar(final double[] data, final $double ave, final $double var) {\\n double s, ep;\\r\\n int j, n = data.length;\\r\\n ave.$(0.0);\\r\\n for (j = 0; j < n; j++)\\r\\n ave.$(ave.$() + data[j]);\\r\\n ave.$(ave.$() / n);\\r\\n var.$(ep = 0.0);\\r\\n for (j = 0; j < n; j++) {\\r\\n s = data[j] - ave.$();\\r\\n ep += s;\\r\\n var.$(var.$() + (s * s));\\r\\n }\\r\\n var.$((var.$() - ep * ep / n) / (n - 1)); // Corrected two-pass\\r\\n // formula (14.1.8).\\r\\n }\",\n \"@Override\\n\\tpublic int avg() {\\n\\t\\treturn (this.sum()/3);\\n\\t}\",\n \"public double stddev() {\\n return StdStats.stddev(perThreshold);\\n }\",\n \"public double stddev() {\\n\\t\\t return StdStats.stddev(results);\\n\\t }\",\n \"public double calcVolume(){\\n double area=calcArea(); // calcArea of superclass used\\r\\n return area*h;\\r\\n }\",\n \"public double getStandardDeviation() {\\r\\n\\t\\tdouble standDev=0;\\r\\n\\t\\tdouble avgD=getAverageDuration();\\r\\n\\t\\tdouble zaehler=0;\\r\\n\\t\\tfor(int a=0;a<populationSize();a++) {\\r\\n\\t\\t\\tzaehler+=Math.pow((avgD-getTour(a).getDuration()), 2);\\r\\n\\t\\t}\\r\\n\\t\\tstandDev=Math.pow((zaehler/populationSize()), 0.5);\\r\\n\\t\\treturn standDev;\\r\\n\\t }\",\n \"public abstract double volume();\",\n \"public double average(){\\n double avg = 0;\\n double sum = 0;\\n for (T t : arr) {\\n // sum += t.doubleValue();\\n }\\n\\n return sum / arr.length;\\n }\",\n \"public void setVega(double value) {\\r\\n this.vega = value;\\r\\n }\",\n \"public double getAverage(){\\n return getTotal()/array.length;\\n }\",\n \"@Test\\n public void testVar() {\\n System.out.println(\\\"var\\\");\\n NegativeBinomialDistribution instance = new NegativeBinomialDistribution(3, 0.3);\\n instance.rand();\\n assertEquals(7/0.3, instance.var(), 1E-7);\\n }\",\n \"public java.lang.Double getVar202() {\\n return var202;\\n }\",\n \"public double getUnbiasedStandardDeviation() {\\n return Math.sqrt(getUnBiasedVariance());\\n }\",\n \"double average();\",\n \"public static double getArrayListDoubleVariance(ArrayList<Double> list) {\\n\\t\\treturn 0;\\n\\t}\",\n \"public double stddev() {\\n return StdStats.stddev(results);\\n }\",\n \"public double getVega() {\\r\\n return vega;\\r\\n }\",\n \"public double stddev() {\\n if (threshold.length == 1) {\\n return Double.NaN;\\n }\\n return StdStats.stddev(threshold);\\n }\",\n \"public MeanVar(double[] data) {\\n\\t\\tfor (int i = 0; i < data.length; i++)\\n\\t\\t\\taddValue(data[i]);\\n\\t}\",\n \"public double stddev() {\\r\\n\\t\\treturn stddev;\\r\\n\\t}\",\n \"public float getVolum() {\\n return volum;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8065374","0.79044783","0.789876","0.7867054","0.78445333","0.7619414","0.74946046","0.74621403","0.73266447","0.7326475","0.7306682","0.72074115","0.7050715","0.7034852","0.695394","0.6889989","0.68309194","0.68229866","0.68229866","0.6811071","0.67502046","0.64829266","0.6422191","0.63580376","0.6332046","0.62869996","0.62773645","0.62491345","0.6235065","0.62225807","0.62115663","0.61936706","0.6172433","0.5938411","0.5871854","0.58055454","0.57941085","0.57559484","0.57312644","0.5690425","0.56869864","0.5661847","0.5659864","0.56329584","0.56115264","0.55193746","0.54758847","0.546921","0.5430427","0.54194295","0.53923017","0.53923017","0.5374449","0.53402054","0.5315955","0.5297637","0.52920216","0.5291435","0.5267941","0.5266743","0.5242681","0.5241832","0.5240863","0.5238952","0.5238952","0.52362967","0.52362967","0.5226492","0.52185434","0.51915884","0.51798224","0.5170778","0.5163959","0.51624113","0.51596296","0.51514155","0.5150283","0.51474315","0.51436913","0.5143263","0.51337767","0.51263034","0.5110411","0.5095414","0.5087697","0.5080905","0.5079052","0.5053608","0.50488293","0.50477433","0.5033223","0.5025534","0.5024264","0.5024099","0.5011522","0.5004125","0.50034434","0.4998536","0.49901643","0.49756598"],"string":"[\n \"0.8065374\",\n \"0.79044783\",\n \"0.789876\",\n \"0.7867054\",\n \"0.78445333\",\n \"0.7619414\",\n \"0.74946046\",\n \"0.74621403\",\n \"0.73266447\",\n \"0.7326475\",\n \"0.7306682\",\n \"0.72074115\",\n \"0.7050715\",\n \"0.7034852\",\n \"0.695394\",\n \"0.6889989\",\n \"0.68309194\",\n \"0.68229866\",\n \"0.68229866\",\n \"0.6811071\",\n \"0.67502046\",\n \"0.64829266\",\n \"0.6422191\",\n \"0.63580376\",\n \"0.6332046\",\n \"0.62869996\",\n \"0.62773645\",\n \"0.62491345\",\n \"0.6235065\",\n \"0.62225807\",\n \"0.62115663\",\n \"0.61936706\",\n \"0.6172433\",\n \"0.5938411\",\n \"0.5871854\",\n \"0.58055454\",\n \"0.57941085\",\n \"0.57559484\",\n \"0.57312644\",\n \"0.5690425\",\n \"0.56869864\",\n \"0.5661847\",\n \"0.5659864\",\n \"0.56329584\",\n \"0.56115264\",\n \"0.55193746\",\n \"0.54758847\",\n \"0.546921\",\n \"0.5430427\",\n \"0.54194295\",\n \"0.53923017\",\n \"0.53923017\",\n \"0.5374449\",\n \"0.53402054\",\n \"0.5315955\",\n \"0.5297637\",\n \"0.52920216\",\n \"0.5291435\",\n \"0.5267941\",\n \"0.5266743\",\n \"0.5242681\",\n \"0.5241832\",\n \"0.5240863\",\n \"0.5238952\",\n \"0.5238952\",\n \"0.52362967\",\n \"0.52362967\",\n \"0.5226492\",\n \"0.52185434\",\n \"0.51915884\",\n \"0.51798224\",\n \"0.5170778\",\n \"0.5163959\",\n \"0.51624113\",\n \"0.51596296\",\n \"0.51514155\",\n \"0.5150283\",\n \"0.51474315\",\n \"0.51436913\",\n \"0.5143263\",\n \"0.51337767\",\n \"0.51263034\",\n \"0.5110411\",\n \"0.5095414\",\n \"0.5087697\",\n \"0.5080905\",\n \"0.5079052\",\n \"0.5053608\",\n \"0.50488293\",\n \"0.50477433\",\n \"0.5033223\",\n \"0.5025534\",\n \"0.5024264\",\n \"0.5024099\",\n \"0.5011522\",\n \"0.5004125\",\n \"0.50034434\",\n \"0.4998536\",\n \"0.49901643\",\n \"0.49756598\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.79914725"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":19788,"cells":{"query":{"kind":"string","value":"Exponential smoothing backcast for GARCH variance initialization. This method is a Java porting of Matlab function varbackcast by TradingLab."},"document":{"kind":"string","value":"public double varianceBackcast()\n {\n double unconditionalVariance = variance(0.0);\n // why do they compute the unconditional variance if they don't\n // use it afterwards?\n \n double lambda = .7;\n double sigsum = 0.0;\n for(int t = 0; t<size; t++)\n sigsum += Math.pow(lambda, size - t - 1.0)*getSqrQuote(size - t);\n \n // This doesn't make sense to me...\n // looks like a convex hull of sigsum and something else,\n // except lambda is raised to the n-th power...\n return Math.pow(lambda, size) + (1.0 - lambda)*sigsum;\n }"},"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":["double [] calcGamma(){\n\t\t\tgamma = new double [N];\n\t\t\tdouble [] gammaParam = new double [noLiveSites];\n\t\t\tint liveSite = 0;\n\t\t\tfor (int i = 0; i < N; i ++){\n\t\t\t\tgamma[i] = 1.0;\n\t\t\t\tif(aliveLattice[i]){\n\t\t\t\t\tdouble phi_i = 1.0 - fracDeadNbors[i];\n\t\t\t\t\tgammaParam[liveSite] = 1-phi_i*(1-alpha[i]);\n\t\t\t\t\tgamma[i] = gammaParam[liveSite];\n\t\t\t\t\tliveSite += 1;\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\tdouble ave = MathTools.mean(gammaParam);\n\t\t\tdouble var = MathTools.variance(gammaParam);\n\t\t\tdouble [] ret = new double [2];\n\t\t\tret[0] = ave;\n\t\t\tret[1] = var;\n\t\t\treturn ret;\n\t\t}","public TimeDecayingAverage(double phi, double average) {\n setPhi(phi);\n this.average = average;\n }","public void resample_alpha_ESS(boolean supervised, MapWrapper[][] xsub, double[][] dict, Gamma rngG,\n Random rand, Normal rngN, PoissonModel2_RegCoef beta_model,\n boolean verbose, long start) {\n if (!supervised) {\n resample_alpha(supervised, xsub, dict, rngG, rand, beta_model, verbose, start);\n }else{\n double alpha_verbose = 0;\n double[][] alpha_prior = new double[N][P];\n for (int i = 0; i < N; i++) {\n for (int p = 0; p < this.P; p++) {\n alpha_prior[i][p] = resample_alpha_laplace(i, p, xsub, dict, rngG, rand);\n }\n }\n // elliptical slice sampling\n double[][] alpha_new = beta_model.ElipticalSliceSamplerJoint(rand, rngN, alpha_prior, this.alpha, start,\n verbose);\n// System.out.println(Arrays.toString(alpha_prior[0]));\n// System.out.println(Arrays.toString(alpha[0]));\n// System.out.println(Arrays.toString(alpha_new[0]));\n int count = 0;\n for (int i = 0; i < N; i++) {\n for (int p = 0; p < this.P; p++) {\n // todo: this truncation step does change the likelihood space, danger??\n if(alpha_new[i][p] < 0) count++;\n this.alpha[i][p] = Math.max(alpha_new[i][p], 0);\n }\n }\n if (verbose) {\n System.out.print(\"finish alpha: \");\n System.out.printf(\"%.2fmin, Mean %.2f\\n\", (double) (System.currentTimeMillis() - start) / 1000 / 60,\n (alpha_verbose + 0.0) / (P * N + 0.0));\n }\n }\n }","private double[] varianceArray(){\n\t\tdouble[] varianceVals = new double[values.length];\n\t\tfor(int i = 0; i < values.length; i++){\n\t\t\tvarianceVals[i] = Math.pow(values[i] - mean , 2.0);\n\t\t}\n\t\treturn varianceVals;\n\t}","void backpropagate(float[] inputs, float... targets);","private static double calculateMovingAverage(JsArrayNumber history) {\n double[] vals = new double[history.length()];\n long size = history.length();\n double sum = 0.0;\n double mSum = 0.0;\n long mCount = 0;\n\n // Check for sufficient data\n if (size >= 8) {\n // Clone the array and Calculate sum of the values\n for (int i = 0; i < size; i++) {\n vals[i] = history.get(i);\n sum += vals[i];\n }\n double mean = sum / size;\n\n // Calculate variance for the set\n double varianceTemp = 0.0;\n for (int i = 0; i < size; i++) {\n varianceTemp += Math.pow(vals[i] - mean, 2);\n }\n double variance = varianceTemp / size;\n double standardDev = Math.sqrt(variance);\n\n // Standardize the Data\n for (int i = 0; i < size; i++) {\n vals[i] = (vals[i] - mean) / standardDev;\n }\n\n // Calculate the average excluding outliers\n double deviationRange = 2.0;\n\n for (int i = 0; i < size; i++) {\n if (vals[i] <= deviationRange && vals[i] >= -deviationRange) {\n mCount++;\n mSum += history.get(i);\n }\n }\n\n } else {\n // Calculate the average (not enough data points to remove outliers)\n mCount = size;\n for (int i = 0; i < size; i++) {\n mSum += history.get(i);\n }\n }\n\n return mSum / mCount;\n }","public TimeDecayingAverage(double phi) {\n this(phi, 0D);\n }","public void decay()\n\t{\n\t\tprotons -= 2;\n\t\tneutrons -= 2;\n\t}","public double varianceExponent()\n\t{\n\t\treturn _dblVarianceExponent;\n\t}","public void decay() {\r\n\t\tprotons -= 2;\r\n\t\tneutrons -= 2;\r\n\t}","public static void avevar(final double[] data, final $double ave, final $double var) {\n double s, ep;\r\n int j, n = data.length;\r\n ave.$(0.0);\r\n for (j = 0; j < n; j++)\r\n ave.$(ave.$() + data[j]);\r\n ave.$(ave.$() / n);\r\n var.$(ep = 0.0);\r\n for (j = 0; j < n; j++) {\r\n s = data[j] - ave.$();\r\n ep += s;\r\n var.$(var.$() + (s * s));\r\n }\r\n var.$((var.$() - ep * ep / n) / (n - 1)); // Corrected two-pass\r\n // formula (14.1.8).\r\n }","@Override\n public void backward() {\n Tensor x = modInX.getOutput();\n Tensor tmp = new Tensor(yAdj); // copy\n tmp.elemDivide(x);\n modInX.getOutputAdj().elemAdd(tmp);\n }","@Test\n public void test_0030() {\n AutoCovariance instance = new AutoCovariance(\n new ARIMAModel(\n new double[]{0.5},\n 0,\n new double[]{-0.8}),\n 1, 10);\n\n assertEquals(1.120000, instance.evaluate(0), 1e-5);\n assertEquals(-0.240000, instance.evaluate(1), 1e-5);\n assertEquals(-0.120000, instance.evaluate(2), 1e-5);\n assertEquals(-0.060000, instance.evaluate(3), 1e-5);\n assertEquals(-0.030000, instance.evaluate(4), 1e-5);\n assertEquals(-0.015000, instance.evaluate(5), 1e-5);\n assertEquals(-0.007500, instance.evaluate(6), 1e-5);\n assertEquals(-0.003750, instance.evaluate(7), 1e-5);\n assertEquals(-0.00187500, instance.evaluate(8), 1e-5);\n assertEquals(-0.00093750, instance.evaluate(9), 1e-5);\n assertEquals(-0.00046875, instance.evaluate(10), 1e-5);\n }","public void predictLossForDayIndex(String destinationDescription, double lossAmount, boolean addBack, double addBackAmount, int dayIndex);","public float[] BackSubstitution(){\n float[] solX = new float[this.NBrsEff];\n float temp;\n for (int i=this.NBrsEff-1; i>=0; i--){\n temp = this.M[i][this.NKolEff-1];\n for (int j=this.NKolEff-2; j>i; j--){\n temp -= solX[j] * this.M[i][j];\n }\n solX[i] = temp/this.M[i][i];\n System.out.println(\"SolX: \"+solX[i]);\n }\n return solX;\n }","@Test\n public void test_0040() {\n AutoCovariance instance = new AutoCovariance(\n new ARIMAModel(new double[]{0.3, -0.2, 0.05, 0.04}, 0, new double[]{0.2, 0.5}),\n 1, 10);\n\n assertEquals(1.461338, instance.evaluate(0), 1e-5);\n assertEquals(0.764270, instance.evaluate(1), 1e-5);\n assertEquals(0.495028, instance.evaluate(2), 1e-5);\n assertEquals(0.099292, instance.evaluate(3), 1e-5);\n assertEquals(0.027449, instance.evaluate(4), 1e-5);\n assertEquals(0.043699, instance.evaluate(5), 1e-5);\n assertEquals(0.032385, instance.evaluate(6), 1e-5);\n assertEquals(0.006320, instance.evaluate(7), 1e-5);\n assertEquals(-0.001298186, instance.evaluate(8), 1e-5);\n assertEquals(0.001713744, instance.evaluate(9), 1e-5);\n assertEquals(0.002385183, instance.evaluate(10), 1e-5);\n }","public void decay() {\r\n\t\tfor(int i=0;i<boxes[0];i++)\r\n\t\t\tfor(int j=0;j<boxes[1];j++)\r\n\t\t\t\tfor(int k=0;k<boxes[2];k++) quantity[i][j][k] *= (1 - decayRate*sim.getDt());\r\n\t}","public static void main(String[] args)\r\n {\r\n //GammaDistribution gam = new GammaDistribution(10.0, 20.0);\r\n //double gamR = gam.sample();\r\n //System.out.println(gamR);\r\n \r\n for(String s : args)\r\n {\r\n System.out.println(s);\r\n }\r\n //if we run the code without any arguments then use default, else overwrite\r\n int lnth = args.length; \r\n if (lnth != 0 ) {\r\n int diff = 0;\r\n try {\r\n //totalT = Integer.valueOf(args[0+diff]);\r\n //totalY = Integer.valueOf(args[1+diff]);\r\n //totalYears = Integer.valueOf(args[2+diff]);\r\n dataSet = args[0+diff];\r\n yrs = Integer.valueOf(args[1+diff]);\r\n spreadYrs = Integer.valueOf(args[2+diff]);\r\n maxDepth = Integer.valueOf(args[3+diff]);\r\n popSize = Integer.valueOf(args[4+diff]);\r\n tournamentSize = (popSize / 100) - 1;\r\n mutProb = Double.valueOf(args[5+diff]);\r\n xoverProb = Double.valueOf(args[6+diff]); \r\n elitismPercentage = Double.valueOf(args[7+diff]);\r\n primProb = Double.valueOf(args[8+diff]);\r\n terminalNodeCrossBias = Double.valueOf(args[9+diff]);\r\n nGens = Integer.valueOf(args[10+diff]);\r\n lowerLowBound = Double.valueOf(args[11+diff]);\r\n lowerUpBound = Double.valueOf(args[12+diff]);\r\n upperLowBound = Double.valueOf(args[13+diff]);\r\n upperUpBound = Double.valueOf(args[14+diff]);\r\n movingAverage = Integer.valueOf(args[15+diff]);\r\n totalNumParams = 0;\r\n additionalParameters = 0;\r\n parameterIndex.add(0);\r\n for (int i = 16; i < args.length -1 + diff; i++) { // minus 1 as the last parameter is whether to use bound \r\n if (Integer.valueOf(args[i]) == 1) { \r\n totalNumParams++;\r\n parameterIndex.add(i-15); //parameterIndex starts from 1, becuase my pred value is in column 0\r\n if (i >= args.length -9 + diff) {//minus 1 to compensate for last value and minus 8 for the 9 parameters\r\n additionalParameters++;\r\n }\r\n } \r\n }\r\n lowerBound = Integer.valueOf(args[args.length - 1]); //last value is whether to use a lower bound\r\n } catch (ArrayIndexOutOfBoundsException t) {\r\n System.out.println(\"args not enough, please check\");\r\n }\r\n } else {\r\n for (int i = 0; i < totalNumParams; i++) {\r\n parameterIndex.add(i);\r\n }\r\n }\r\n FReader read = new FReader();\r\n header = read.readHeader(\"Data/header.txt\");\r\n parametersLength = header.length - 9; //take away the 9 parameters that will be calculated within GP\r\n \r\n Expr[] evolvedMethodParameters = new Expr[totalNumParams-1];\r\n eval = new PredictionEvaluatorTrue2(nRuns, contractLength, parameterIndex, parametersLength, additionalParameters);\r\n \r\n Function evolvedMethod = new Function(Double.TYPE, new Class[0]);\r\n TreeManager.evolvedMethod = evolvedMethod;\r\n \r\n \r\n for (int i=0; i<totalNumParams-1; i++) {\r\n \r\n evolvedMethodParameters[i] = new Parameter(i);\r\n } \r\n TreeManager.evolvedMethodParameters = evolvedMethodParameters;\r\n \r\n ArrayList methodSet = new ArrayList();\r\n methodSet.add(ADD);\r\n methodSet.add(SUB);\r\n methodSet.add(MUL);\r\n methodSet.add(DIV);\r\n methodSet.add(LOG);\r\n methodSet.add(SQRT);\r\n methodSet.add(POW);\r\n methodSet.add(MOD);\r\n //methodSet.add(SIN);\r\n //methodSet.add(COS);\r\n methodSet.add(EXP);\r\n\r\n\r\n Random r = new Random();\r\n ArrayList terminalSet = new ArrayList();\r\n// for (int i = 0; i < terminals; i++)\r\n// {\r\n// double rc = r.nextDouble();\r\n// terminalSet.add(new Constant(new Double(rc * 100.0D), Double.TYPE)); //Building in a function representing random numbers minimum and maximum, consider avearge\r\n// }\r\n// \r\n// //Add in numbers between 0 and 2 in blocks of 0.05 for the purpose of weights\r\n// \r\n// for (int i = 0; i < weights; i++)\r\n// {\r\n// double rc = (1 + i) * 0.05;\r\n// terminalSet.add(new Constant(new Double(rc), Double.TYPE));\r\n// }\r\n \r\n //terminalSet.add(new Constant(new Double(0.0D), Double.TYPE));\r\n //terminalSet.add(new Constant(new Double(3.141592653589793D), Double.TYPE));\r\n \r\n //For old data\r\n //Dynamically adds the number of parameters to be estimated, need to refer to data to input correct values\r\n //for (int i = 0; i < totalT; i++) {\r\n // terminalSet.add(new Parameter(i, Double.TYPE, Boolean.valueOf(true), \"Rain_t-\"+(i+1)));\r\n //}\r\n //for (int i = 0; i < totalY; i++) {\r\n // terminalSet.add(new Parameter(i+totalT, Double.TYPE, Boolean.valueOf(true), \"Year_t-\"+(i+1)));\r\n //}\r\n \r\n //For new data have headers read in and name accordingly.\r\n \r\n for (int i = 0; i < totalNumParams-1; i++) {\r\n terminalSet.add(new Parameter(i, Double.TYPE, Boolean.valueOf(true), header[parameterIndex.get(i)]));\r\n }\r\n \r\n \r\n //consider 3 ERC's one big range, 2 smaller ranges between -1 and 1\r\n terminalSet.add(new Constant(\"ERC\", Double.TYPE));\r\n terminalSet.add(new Constant(\"ERC2\", Double.TYPE));\r\n terminalSet.add(new Constant(\"ERC3\", Double.TYPE));\r\n \r\n double primProb = 0.6D;\r\n double terminalNodeCrossBias = 0.1D;\r\n TreeManager tm = new TreeManager(methodSet, terminalSet, primProb, maxInitialDepth, maxDepth, terminalNodeCrossBias);\r\n \r\n\r\n\r\n\r\n System.out.println(\"============= Experimental parameters =============\");\r\n System.out.println(\"Maximum initial depth: \" + maxInitialDepth);\r\n System.out.println(\"Maximum depth: \" + maxDepth);\r\n System.out.println(\"Primitive probability in Grow method: \" + primProb);\r\n System.out.println(\"Terminal node crossover bias: \" + terminalNodeCrossBias);\r\n System.out.println(\"No of generations: \" + nGens);\r\n System.out.println(\"Population size: \" + popSize);\r\n System.out.println(\"Tournament size: \" + tournamentSize);\r\n System.out.println(\"Crossover probability: \" + xoverProb);\r\n System.out.println(\"Reproduction probability: \" + (1.0D - xoverProb));\r\n System.out.println(\"Mutation probalitity: \" + mutProb);\r\n System.out.println(\"Elitism percentage: \" + elitismPercentage);\r\n System.out.println(\"===================================================\");\r\n \r\n \r\n \r\n \r\n \r\n StatisticalSummary.logExperimentSetup(methodSet, terminalSet, maxInitialDepth, maxDepth, primProb, terminalNodeCrossBias, nGens, popSize, tournamentSize, mutProb, xoverProb); \r\n \r\n StatisticalSummary stat = null;\r\n filenameS = \"Results/Results_\"+yrs+\"_\"+spreadYrs+\"_MA\"+movingAverage+\"_\"+contractLength;\r\n for (int i = 0; i < nRuns; i++)\r\n {\r\n System.out.println(\"========================== Experiment \" + i + \" ==================================\");\r\n File experiment = new File(filenameS + \"/Experiment \"+i);\r\n experiment.mkdirs();\r\n stat = new StatisticalSummary(nGens, popSize, i);\r\n alg = new GA(tm, eval, popSize, tournamentSize, stat, mutProb, elitismPercentage, xoverProb, nRuns);\r\n alg.evolve(nGens, i);\r\n System.out.println(\"===============================================================================\");\r\n }\r\n}","public double[] runOptimizer() {\n List<Integer> sents = new ArrayList<Integer>();\n for(int i=0; i<sentNum; i++)\n sents.add(i);\n \n if(needShuffle)\n Collections.shuffle(sents);\n \n double oraMetric, oraScore, predMetric, predScore;\n double[] oraPredScore = new double[4];\n double eta = 1.0; //learning rate, will not be changed if run percep\n double avgEta = 0; //average eta, just for analysis\n double loss = 0;\n double featNorm = 0;\n double featDiffVal;\n double sumMetricScore = 0;\n double sumModelScore = 0;\n String oraFeat = \"\";\n String predFeat = \"\";\n String[] oraPredFeat = new String[2];\n String[] vecOraFeat;\n String[] vecPredFeat;\n String[] featInfo;\n boolean first = true;\n //int processedSent = 0;\n Iterator it;\n Integer diffFeatId;\n double[] avgLambda = new double[initialLambda.length]; //only needed if averaging is required\n for(int i=0; i<initialLambda.length; i++)\n avgLambda[i] = 0.0;\n\n //update weights\n for(Integer s : sents) {\n //find out oracle and prediction\n if(first)\n findOraPred(s, oraPredScore, oraPredFeat, initialLambda, featScale);\n else\n findOraPred(s, oraPredScore, oraPredFeat, finalLambda, featScale);\n \n //the model scores here are already scaled in findOraPred\n oraMetric = oraPredScore[0];\n oraScore = oraPredScore[1];\n predMetric = oraPredScore[2];\n predScore = oraPredScore[3];\n oraFeat = oraPredFeat[0];\n predFeat = oraPredFeat[1];\n \n //update the scale\n if(needScale) { //otherwise featscale remains 1.0\n sumMetricScore += java.lang.Math.abs(oraMetric+predMetric);\n sumModelScore += java.lang.Math.abs(oraScore+predScore)/featScale; //restore the original model score\n \n if(sumModelScore/sumMetricScore > 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<Integer, Double> allOraFeat = new HashMap<Integer, Double>();\n HashMap<Integer, Double> allPredFeat = new HashMap<Integer, Double>();\n HashMap<Integer, Double> featDiff = new HashMap<Integer, Double>();\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<Double> 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<Integer> 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<avgLambda.length; i++)\n avgLambda[i] += finalLambda[i];\n }\n }\n \n if(needAvg) {\n for(int i=0; i<finalLambda.length; i++)\n finalLambda[i] = avgLambda[i]/sentNum;\n }\n \n avgEta /= sentNum;\n System.out.println(\"Average learning rate: \"+avgEta);\n\n // the intitialLambda & finalLambda are all trainable parameters\n //if (!trainMode.equals(\"3\")) // for mode 3, no need to normalize sparse\n // feature weights\n //normalizeLambda(finalLambda);\n //else\n //normalizeLambda_mode3(finalLambda);\n\n /*\n * for( int i=0; i<finalLambda.length; i++ ) System.out.print(finalLambda[i]+\" \");\n * System.out.println(); System.exit(0);\n */ \n\n double initMetricScore = computeCorpusMetricScore(initialLambda); // compute the initial corpus-level metric score\n double finalMetricScore = computeCorpusMetricScore(finalLambda); // compute final corpus-level metric score // the\n\n // prepare the printing info\n int numParamToPrint = 0;\n String result = \"\";\n\n if (trainMode.equals(\"1\") || trainMode.equals(\"4\")) {\n numParamToPrint = paramDim > 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 driver() {\r\n \t// At the last time point assume exponentials are largely decayed and most of what is\r\n \t// left is the constant a[0] term.\r\n gues[0] = ySeries[ySeries.length-1];\r\n for (int i = 0; i < (a.length-1)/2; i++) {\r\n \tgues[2*i+1] = 1.0;\r\n \tgues[2*i+2] = -1.0;\r\n }\r\n super.driver();\r\n }","private static native void rollingGuidanceFilter_0(long src_nativeObj, long dst_nativeObj, int d, double sigmaColor, double sigmaSpace, int numOfIter, int borderType);","public void m1254a(eb[] ebVarArr) {\n Object obj = this.f777b;\n if (obj == null) {\n this.f777b = ebVarArr;\n } else if (ebVarArr != null && ebVarArr.length > 0) {\n Object obj2 = new eb[(obj.length + ebVarArr.length)];\n System.arraycopy(obj, 0, obj2, 0, obj.length);\n System.arraycopy(ebVarArr, 0, obj2, obj.length, ebVarArr.length);\n this.f777b = obj2;\n }\n }","public double getVariance(){\n\t\tdouble a = location + scale * scale;\n\t\treturn Math.exp(2 * a) - Math.exp(location + a);\n\t}","public void lagSkudd2() {\n\t}","float[] feedForward(float... inputs);","public abstract void recalcNormalizationExtrema();","public String getForecastType()\n {\n return \"double exponential smoothing\";\n }","public static void main(String args[]) {\n\n\tint nx = 200;\n int ny = 300;\n\n\tColorSurfaceData data = new SmoothData3D(nx,ny);\n\n double minX = -2;\n double minY = -3;\n double maxX = 2;\n double maxY = 3; \n\tdouble stepX = (maxX - minX)/(nx-1);\n double stepY = (maxY - minY)/(ny-1); \n\n\tdata.setMinMaxX(minX,maxX);\n\tdata.setMinMaxY(minY,maxY);\n\n\tdouble x,y,v;\n\n\tfor(int i = 0; i < nx; i++){\n\tfor(int j = 0; j < ny; j++){\n\t x = minX + i*stepX;\n\t y = minY + j*stepY;\n v = Math.exp(-(x*x+y*y));\n data.setValue(i,j,v);\n //data.addValue(x,y,v);\n\t}}\n\n\tdouble max_dev = 0;\n\tint i_max = 0, j_max = 0;\n\n\tfor(int i = 6; i < nx-6; i++){\n\tfor(int j = 6; j < ny-6; j++){\n\t x = i*stepX + minX + 0.5*stepX;\n\t y = j*stepY + minY + 0.5*stepY;\n v = Math.abs(Math.exp(-(x*x+y*y)) - data.getValue(x,y))/Math.exp(-(x*x+y*y));\n if(max_dev < v) {\n max_dev = v;\n\t i_max = i;\n\t j_max = j;\n\t }\n\t}} \n\n\tSystem.out.println(\"max dev [%] = \"+max_dev*100);\n\n\tdouble v_calc = 0;\n\tx = i_max*stepX + minX + 0.5*stepX;\n\ty = j_max*stepY + minY + 0.5*stepY; \n\tv = Math.exp(-(x*x+y*y));\n\tv_calc = data.getValue(x,y);\n \tSystem.out.println(\"stepX = \"+stepX);\n \tSystem.out.println(\"stepY = \"+stepY);\n \tSystem.out.println(\"i_max = \"+i_max);\n \tSystem.out.println(\"j_max = \"+j_max);\n \tSystem.out.println(\"x = \"+x);\n \tSystem.out.println(\"y = \"+y);\n \tSystem.out.println(\"v = \"+v);\n \tSystem.out.println(\"v_calc = \"+v_calc); \n\n }","public void setBeta(double aBeta);","public Adamax(Graph graph, float learningRate, float betaOne, float betaTwo, float epsilon) {\n super(graph);\n this.learningRate = learningRate;\n this.betaOne = betaOne;\n this.betaTwo = betaTwo;\n this.epsilon = epsilon;\n }","private static final void silk_PLC_energy(/*final int[] energy1, final int[] shift1, final int[] energy2, final int[] shift2,*/\r\n\t\t\tfinal Jenergy_struct_aux aux,// java\r\n\t\t\tfinal int[] exc_Q14, final int[] prevGain_Q10, final int subfr_length, final int nb_subfr)\r\n\t{\r\n\t\t// SAVE_STACK;\r\n\t\tfinal short[] exc_buf = new short[subfr_length << 1];\r\n\t\t/* Find random noise component */\r\n\t\t/* Scale previous excitation signal */\r\n\t\tint exc_buf_ptr = 0;// exc_buf[ exc_buf_ptr ]\r\n\t\tfor( int k = 0; k < 2; k++ ) {\r\n\t\t\tfor( int i = 0; i < subfr_length; i++ ) {\r\n\t\t\t\tfinal int v = ((int)(((long)exc_Q14[ i + ( k + nb_subfr - 2 ) * subfr_length ] * prevGain_Q10[ k ]) >> 16)) << 8;// java\r\n\t\t\t\texc_buf[ exc_buf_ptr + i ] = (short)(v > Short.MAX_VALUE ? Short.MAX_VALUE : (v < Short.MIN_VALUE ? Short.MIN_VALUE : v));\r\n\t\t\t}\r\n\t\t\texc_buf_ptr += subfr_length;\r\n\t\t}\r\n\t\t/* Find the subframe with lowest energy of the last two and use that as random noise generator */\r\n\t\tfinal long energy_shift1 = silk_sum_sqr_shift( /*energy1, shift1,*/ exc_buf, 0, subfr_length );\r\n\t\tfinal long energy_shift2 = silk_sum_sqr_shift( /*energy2, shift2,*/ exc_buf, subfr_length, subfr_length );\r\n\t\t// RESTORE_STACK;\r\n\t\taux.energy1 = (int)(energy_shift1 >>> 32);\r\n\t\taux.shift1 = (int)energy_shift1;\r\n\t\taux.energy2 = (int)(energy_shift2 >>> 32);\r\n\t\taux.shift2 = (int)energy_shift2;\r\n\t}","public void setNewAlpha(){\n\n\t\tretrieveAlpha();\n\t\tretrieveReducerOutput();\n\t\t\n\t\tdouble[] alphaVectorUpdate = new double[K];\n\t\tdouble[] alphaGradientVector = new double[K];\n\t\tdouble[] alphaHessianVector = new double[K];\n\n\t\tdouble[] alphaVector = oldAlpha.clone();\n\t\tdouble[] alphaSufficientStatistics = rDelta;\n\n\t\tint alphaUpdateIterationCount = 0;\n\n\t\t// update the alpha vector until converge\n\t\tboolean keepGoing = true;\n\t\ttry {\n\t\t\tint decay = 0;\n\n\t\t\tdouble alphaSum = 0;\n\t\t\tfor (int j = 0; j < K; j++) {\n\t\t\t\talphaSum += alphaVector[j];\n\t\t\t}\n\n\t\t\twhile (keepGoing) {\n\t\t\t\tdouble sumG_H = 0;\n\t\t\t\tdouble sum1_H = 0;\n\n\t\t\t\tfor (int i = 0; i < K; i++) {\n\t\t\t\t\t// compute alphaGradient\n\t\t\t\t\talphaGradientVector[i] = D\n\t\t\t\t\t\t\t* (Gamma.digamma(alphaSum) - Gamma.digamma(alphaVector[i]))\n\t\t\t\t\t\t\t+ alphaSufficientStatistics[i];\n\n\t\t\t\t\t// compute alphaHessian\n\t\t\t\t\talphaHessianVector[i] = -D * Gamma.trigamma(alphaVector[i]);\n\n\t\t\t\t\tif (alphaGradientVector[i] == Double.POSITIVE_INFINITY\n\t\t\t\t\t\t\t|| alphaGradientVector[i] == Double.NEGATIVE_INFINITY) {\n\t\t\t\t\t\tthrow new ArithmeticException(\"Invalid ALPHA gradient matrix...\");\n\t\t\t\t\t}\n\n\t\t\t\t\tsumG_H += alphaGradientVector[i] / alphaHessianVector[i];\n\t\t\t\t\tsum1_H += 1 / alphaHessianVector[i];\n\t\t\t\t}\n\n\t\t\t\tdouble z = D * Gamma.trigamma(alphaSum);\n\t\t\t\tdouble c = sumG_H / (1 / z + sum1_H);\n\n\t\t\t\twhile (true) {\n\t\t\t\t\tboolean singularHessian = false;\n\n\t\t\t\t\tfor (int i = 0; i < K; i++) {\n\t\t\t\t\t\tdouble stepSize = Math.pow(Parameters.DEFAULT_ALPHA_UPDATE_DECAY_FACTOR, decay)\n\t\t\t\t\t\t\t\t* (alphaGradientVector[i] - c) / alphaHessianVector[i];\n\t\t\t\t\t\tif (alphaVector[i] <= stepSize) {\n\t\t\t\t\t\t\t// the current hessian matrix is singular\n\t\t\t\t\t\t\tsingularHessian = true;\n\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t}\n\t\t\t\t\t\talphaVectorUpdate[i] = alphaVector[i] - stepSize;\n\t\t\t\t\t}\n\n\t\t\t\t\tif (singularHessian) {\n\t\t\t\t\t\t// we need to further reduce the step size\n\t\t\t\t\t\tdecay++;\n\n\t\t\t\t\t\t// recover the old alpha vector\n\t\t\t\t\t\talphaVectorUpdate = alphaVector;\n\t\t\t\t\t\tif (decay > Parameters.DEFAULT_ALPHA_UPDATE_MAXIMUM_DECAY) {\n\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// we have successfully update the alpha vector\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// compute the alpha sum and check for alpha converge\n\t\t\t\talphaSum = 0;\n\t\t\t\tkeepGoing = false;\n\t\t\t\tfor (int j = 0; j < K; j++) {\n\t\t\t\t\talphaSum += alphaVectorUpdate[j];\n\t\t\t\t\tif (Math.abs((alphaVectorUpdate[j] - alphaVector[j]) / alphaVector[j]) >= Parameters.DEFAULT_ALPHA_UPDATE_CONVERGE_THRESHOLD) {\n\t\t\t\t\t\tkeepGoing = true;\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tif (alphaUpdateIterationCount >= Parameters.DEFAULT_ALPHA_UPDATE_MAXIMUM_ITERATION) {\n\t\t\t\t\tkeepGoing = false;\n\t\t\t\t}\n\n\t\t\t\tif (decay > Parameters.DEFAULT_ALPHA_UPDATE_MAXIMUM_DECAY) {\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\n\t\t\t\talphaUpdateIterationCount++;\n\t\t\t\talphaVector = alphaVectorUpdate;\n\t\t\t}\n\t\t} catch (IllegalArgumentException iae) {\n\t\t\tSystem.err.println(iae.getMessage());\n\t\t\tiae.printStackTrace();\n\t\t} catch (ArithmeticException ae) {\n\t\t\tSystem.err.println(ae.getMessage());\n\t\t\tae.printStackTrace();\n\t\t}\n\n\t\tnewAlpha = alphaVector;\n\n\n\t}","public Bitmap rgbAverageContrastAugmentationRS(Bitmap bmp) {\n\n\n\n RenderScript rs = RenderScript.create(getContext()); //Create base renderscript\n\n Allocation input = Allocation.createFromBitmap(rs, bmp); //Bitmap input\n Allocation output = Allocation.createTyped(rs, input.getType(), Allocation.USAGE_SCRIPT ); //Bitmap output\n\n ScriptC_histogram histoScript = new ScriptC_histogram(rs);\n\n histoScript.set_RGB(true);\n\n histoScript.set_size(bmp.getWidth() * bmp.getHeight());\n\n short[] LUTrgb;\n\n LUTrgb = histoScript.reduce_LUTCumulatedHistogram(input).get(); //Get result\n\n histoScript.destroy();\n\n ScriptC_computeLut lut = new ScriptC_computeLut(rs);\n\n lut.set_lutSingle(LUTrgb);\n\n lut.forEach_assignLutRGBAverage(input,output);\n\n\n //Keep only one chann\n output.copyTo(bmp);\n input.destroy();\n output.destroy();\n lut.destroy();\n rs.destroy();\n\n\n\n\n\n\n return bmp;\n }","public ExpAverageDemo() {\r\n super();\r\n animateButton.addItemListener(this);\r\n weightSlider.addChangeListener(this);\r\n }","private static double gser(double a, double x) {\r\n double gamser = 0.0;\r\n int n;\r\n double sum, del, ap;\r\n double gln = gammln(a);\r\n \r\n if(x <= 0.0) {\r\n if(x < 0.0){\r\n // nerror(\"x less than zero in series expansion gamma function\");\r\n }\r\n return gamser = 0.0;\r\n } else {\r\n ap = a;\r\n del = sum = 1.0/a;\r\n for(n = 1; n <= ITMAX; n++) {\r\n ++ap;\r\n del *= x/ap;\r\n sum += del;\r\n if(Math.abs(del) < (Math.abs(sum)*EPS)) {\r\n return gamser = sum*Math.exp(-x + (a*Math.log(x)) - (gln));\r\n }\r\n }\r\n // nerror(\"a is too large, ITMAX is too small, in series expansion gamma function\");\r\n return 0.0;\r\n }\r\n }","public void setVega(double value) {\r\n this.vega = value;\r\n }","double getGamma();","public Adamax(\n Graph graph, String name, float learningRate, float betaOne, float betaTwo, float epsilon) {\n super(graph, name);\n this.learningRate = learningRate;\n this.betaOne = betaOne;\n this.betaTwo = betaTwo;\n this.epsilon = epsilon;\n }","public double[] getConfigNrmse(double[] variance)\r\n\t{\r\n\t\tint i;\r\n\t\tdouble[] avg_error; \r\n\t\t\r\n\t\tavg_error = new double[_esn.getNumOutputNeurons()];\r\n\t\tif(_best_idx!=-1)\r\n\t\t{\r\n\t\t\tfor(i=0; i<avg_error.length; i++)\r\n\t\t\t{\r\n\t\t\t\tavg_error[i] = _pool_of_bests.get(_best_idx)._error_config.computeNrmse(variance);\r\n\t\t\t}\r\n\t\t}\r\n\t\telse\r\n\t\t{\r\n\t\t\tfor(i=0; i<avg_error.length; i++)\r\n\t\t\t{\r\n\t\t\t\tavg_error[i] = Double.MAX_VALUE;\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\treturn avg_error;\r\n\t}","private static native long createAMFilter_0(double sigma_s, double sigma_r, boolean adjust_outliers);","public void param_value_max_SET(float src)\n { set_bytes(Float.floatToIntBits(src) & -1L, 4, data, 17); }","public void mo31899a(C7300a aVar) {\n this.dBv = aVar;\n }","@Generated\n @Selector(\"smoothness\")\n @NFloat\n public native double smoothness();","public Expression getGammaValue();","@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 }","private void vignetteEffect(int barra) {\n float val = barra / 200f;\n Log.i(\"kike\", \"valor efecte: \" + val + \" barra: \" + barra);\n EffectFactory factory = effectContext.getFactory();\n effect = factory.createEffect(EffectFactory.EFFECT_VIGNETTE);\n effect.setParameter(\"scale\", val);\n effect.apply(textures[0], photoWidth, photoHeight, textures[1]);\n }","@Override\n\tvoid bp_adam(double learning_rate, int epoch_num) {\n\t\t\n\t}","public void unaverage() {\n\t\tif (!averaged)\n\t\t\tthrow new AssertionError(\"can't unaverage twice!!\");\n\t\t\n\t\tfor (int i = 0; i < w.length; i++)\n\t\t\tw[i] = (w[i] + wupdates[i])/(t+1.0);\n\t\t\n\t\tscale = 1.0;\n\t\taveraged = false;\n\t}","private static C13816g m42347a(C13816g[] gVarArr, C13816g[] gVarArr2, byte[] bArr, C13816g[] gVarArr3, C13816g[] gVarArr4, byte[] bArr2) {\n C13816g gVar;\n int max = Math.max(bArr.length, bArr2.length);\n C13816g k = gVarArr[0].mo35148f().mo35091k();\n int i = max - 1;\n C13816g gVar2 = k;\n int i2 = 0;\n while (i >= 0) {\n byte b = i < bArr.length ? bArr[i] : 0;\n byte b2 = i < bArr2.length ? bArr2[i] : 0;\n if ((b | b2) == 0) {\n i2++;\n } else {\n if (b != 0) {\n gVar = k.mo35134a((b < 0 ? gVarArr2 : gVarArr)[Math.abs(b) >>> 1]);\n } else {\n gVar = k;\n }\n if (b2 != 0) {\n gVar = gVar.mo35134a((b2 < 0 ? gVarArr4 : gVarArr3)[Math.abs(b2) >>> 1]);\n }\n if (i2 > 0) {\n gVar2 = gVar2.mo35138b(i2);\n i2 = 0;\n }\n gVar2 = gVar2.mo35145d(gVar);\n }\n i--;\n }\n return i2 > 0 ? gVar2.mo35138b(i2) : gVar2;\n }","public static void main(String[] args) throws java.lang.Exception {\n double []averageTime = new double[3]; //double array to get average time\n MaxFlow m = new MaxFlow();\n Stopwatch stopwatch = new Stopwatch();\n\n getDataset();\n try{\n System.out.println(\"\\n\"+\"The maximum possible flow is \" + m.fordFulkerson(graph.getAddMatrix(), 0, graph.getNumOfNode()-1));\n for(int i =1; i<=3;i++){\n System.out.println(\"Time \"+i+\" : \"+stopwatch.elapsedTime());\n averageTime[i-1]= stopwatch.elapsedTime();\n }\n\n\n double a = averageTime[0]; //calculate the average time\n double b = averageTime[1];\n double c = averageTime[2];\n double average = (a+b+c)/3;\n System.out.println(\"\\nAverage Time: \"+average);\n\n graph.printArray();\n\n }catch (NullPointerException e){\n System.out.println(\"\");\n }\n }","public void average() {\n\t\tif (averaged)\n\t\t\tthrow new AssertionError(\"can't average twice!!\");\n\t\t\n\t\tscale = 1.0/(double)t;\n\t\t\n\t\tfor (int i = 0; i < w.length; i++)\n\t\t\tw[i] = (t+1.0)*w[i] - wupdates[i];\n\t\t\n\t\taveraged = true;\n\t\n\t}","float xMax();","static final float interp_energy(final float prev_e, final float next_e)\n\t{\n\t\treturn (float)Math.pow( 10.0, (Math.log10( prev_e ) + Math.log10( next_e )) / 2.0 );\n\t}","public AverageEdgeWeight() {\n super(\"avrgEdgeWeight\");\n }","private double kToEv(double value) {\n\t\treturn Converter.convertWaveVectorToEnergy(value, edgeEnergy);\n\t}","public void mo10177a(C1838m<Range> mVar) throws Exception {\n ScaleRotateViewState a = C6028f.this.m17075a(z2, str3, scaleRotateViewState2);\n if (a == null) {\n mVar.mo9791K(null);\n return;\n }\n if (!TextUtils.isEmpty(str4)) {\n a.setFontPath(str4);\n }\n if (C8450a.m24466bk(C8762d.aMt().getTemplateID(str3))) {\n a.setAnimOn(true);\n } else {\n a.setAnimOn(AppPreferencesSetting.getInstance().getAppSettingBoolean(\"key_pref_anim_style_open\", true));\n }\n C6028f.this.mo28736g(a);\n C6028f.this.cGS = C6028f.this.adZ();\n if (!(C6028f.this.cGT == null || C6028f.this.cGT.aIc() == null)) {\n C6028f.this.cGS = C6028f.this.cGT.aIc().getmPosition();\n }\n Range range = new Range(C6028f.this.cGS, C6028f.this.mo28477cu(C6028f.this.cGS, a.mMinDuration));\n if (C6028f.this.mo28454a(C6028f.this.mo28455a(a, range)) == null) {\n mVar.mo9791K(null);\n return;\n }\n C6028f.this.mo28724a(a, str3, range.getmPosition(), range.getmTimeLength());\n mVar.mo9791K(range);\n }","public void backprop(double[] inputs, FeedForwardNeuralNetwork net, boolean verbose)\n {\n //create variables that will be used later\n int[] sizes = net.getSizes();\n int biggestSize = 0;\n for(int k = 0; k < sizes.length; k++)\n {\n if(sizes[k] > biggestSize)\n {\n biggestSize = sizes[k];\n }\n }\n int hiddenLayers = sizes.length - 2;\n //if input or output wrong size, return\n if(inputs.length != sizes[0])\n {\n System.out.println(\"Invalid number of inputs\");\n return;\n }\n\n double[][] allOutputs = new double[sizes.length][biggestSize];\n double[][] allErrors = new double[sizes.length][biggestSize];\n\n //fill out first layer to temp output\n int lastLayer = sizes[0];\n for(int k = 0; k < lastLayer; k++)\n {\n allOutputs[0][k] = inputs[k];\n }\n\n //for each layer after the input\n for(int k = 1; k < hiddenLayers + 2; k++)\n {\n //for each node in that layer\n for(int a = 0; a < sizes[k]; a++)\n {\n //get sum and get activation function result and its derivative\n double sum = 0;\n for(int t = 0; t < lastLayer; t++)\n {\n sum += allOutputs[k - 1][t] * net.getWeight(k - 1, t, k, a);\n }\n sum += net.getBiasNum() * net.getWeight(-1, 0, k, a);\n if(k != hiddenLayers + 1)\n {\n allOutputs[k][a] = net.applyActivationFunction(sum, net.getHiddenActivationFunction());\n allErrors[k][a] = net.applyActivationFunctionDerivative(sum, net.getHiddenActivationFunction());\n }\n else\n {\n allOutputs[k][a] = net.applyActivationFunction(sum, net.getOutputActivationFunction());\n allErrors[k][a] = net.applyActivationFunctionDerivative(sum, net.getOutputActivationFunction());\n }\n }\n lastLayer = sizes[k];\n }\n\n if(verbose)\n {\n System.out.println(\"Outputs\");\n for(int k = 0; k < maxClusters; k++)\n {\n System.out.print(allOutputs[hiddenLayers + 1][k] + \", \");\n }\n System.out.println();\n }\n double[] expectedOutputs = new double[maxClusters];\n int cluster = 0;\n double max = 0;\n for(int k = 0; k < maxClusters; k++)\n {\n expectedOutputs[k] = allOutputs[hiddenLayers + 1][k];\n if(allOutputs[hiddenLayers + 1][k] > max)\n {\n cluster = k;\n max = allOutputs[hiddenLayers + 1][k];\n }\n }\n if(verbose)\n {\n System.out.println(\"Output \" + cluster + \" will be set to max value\");\n System.out.println();\n }\n\n expectedOutputs[cluster] = 4;\n\n\n //go backward from output to first hidden layer\n for(int k = hiddenLayers + 1; k > 0; k--)\n {\n //for each node in that layer\n for(int a = 0; a < sizes[k]; a++)\n {\n //compute error for not output layer\n if(k != hiddenLayers + 1)\n {\n double temp = allErrors[k][a];\n allErrors[k][a] = 0;\n for(int t = 0; t < sizes[k + 1]; t++)\n {\n allErrors[k][a] += net.getWeight(k, t, k + 1, a) * allErrors[k + 1][t];\n }\n allErrors[k][a] *= temp;\n }\n //compute error for output layer\n else\n {\n allErrors[k][a] *= (expectedOutputs[a] - allOutputs[k][a]);\n }\n\n //for each weight node takes as input\n for(int t = 0; t < sizes[k - 1]; t++)\n {\n //find the delta for the weight and apply\n int index = net.getIndex(k - 1, t, k, a);\n double delta = learningRate * allOutputs[k - 1][t] * allErrors[k][a]\n + momentum * lastDeltas[index];\n\n net.setWeight(k - 1, t, k, a, net.getWeight(k - 1, t, k, a) + delta);\n lastDeltas[index] = delta;\n }\n }\n }\n }","double agression();","public void mo35219b(C13816g[] gVarArr) {\n this.f30693b = gVarArr;\n }","public void setDamping(double decay){damping = Math.exp(-decay);}","@Test\n public void testPrediction1() throws Exception {\n\n final CalUtils.InstantGenerator instantGenerator =\n new LocalTimeMinutes(5);\n \n final double coreDailyVols[][] = new double[][] {\n new double[] {55219 , 262256 , 202661 , 218359 , 178244 , 99610 , 92348 , 124795 , 214370 , 153854 , 204116 , 173501 , 85390 , 156835 , 108070 , 23755 , 118573 , 70117 , 55768 , 52643 , 71485 , 407645 , 442909 , 129109 , 188896 , 79590 , 422121 , 290067 , 227955 , 69257 , 41634 , 446002 , 579188 , 86237 , 1606794 , 83676 , 166393 , 84987 , 875905 , 117013 , 399084 , 116190 , 149507 , 207221 , 60857 , 155612 , 448006 , 198637 , 67695 , 65423 , 180038 , 88774 , 80273 , 86065 , 85231 , 38867 , 29330 , 116353 , 26887 , 34170 , 102518 , 72246 , 21274 , 70752 , 37912 , 49367 , 100472 , 49461 , 41735 , 45795 , 36578 , 311945 , 249039 , 70487 , 121906 , 136424 , 195136 , 166308 , 331734 , 343180 , 419616 , 104613 , 1354058 , 162678 , 141067 , 147039 , 149115 , 271162 , 543989 , 184421 , 340679 , 201939 , 293860 , 171035 , 263964 , 260198 , 428087 , 565126 , 385874 , 547890 , 384416 , 256696 , 0 , 4738359},\n new double[] {1298630 , 678084 , 488607 , 224766 , 434263 , 356933 , 576571 , 219236 , 252805 , 414776 , 166828 , 174665 , 146281 , 110944 , 145234 , 179739 , 253111 , 175685 , 64925 , 216682 , 494507 , 100205 , 67371 , 101019 , 158026 , 316281 , 334067 , 954850 , 115547 , 163051 , 130303 , 107600 , 1407996 , 90357 , 110452 , 451866 , 238004 , 3096215 , 2672803 , 190170 , 111282 , 107135 , 453389 , 60821 , 98292 , 1310864 , 1132267 , 241907 , 89915 , 175676 , 61621 , 521553 , 212388 , 288651 , 193578 , 272161 , 256777 , 236382 , 802159 , 230248 , 387068 , 160647 , 106999 , 391933 , 465080 , 374577 , 340378 , 330708 , 416320 , 200347 , 251986 , 336664 , 311970 , 600559 , 508011 , 922379 , 311581 , 352459 , 508727 , 159316 , 1355635 , 246541 , 389672 , 805957 , 370754 , 382556 , 316971 , 564228 , 437166 , 277733 , 1284505 , 1763095 , 169661 , 280682 , 969102 , 540315 , 451895 , 308036 , 715130 , 642966 , 981563 , 900778 , 0 , 7155528},\n new double[] {679280 , 229518 , 346536 , 347215 , 316025 , 313890 , 235844 , 199995 , 1920617 , 129356 , 172084 , 207860 , 317578 , 10369008 , 480990 , 1403537 , 1021730 , 156125 , 94833 , 366987 , 145687 , 322957 , 328120 , 66657 , 176001 , 271003 , 133121 , 558624 , 264638 , 638663 , 165080 , 129439 , 5126344 , 5438632 , 248806 , 250616 , 112716 , 54523 , 198097 , 67772 , 1414565 , 244509 , 246205 , 151540 , 98584 , 51217 , 94193 , 111763 , 104726 , 45880 , 64242 , 78893 , 60706 , 48117 , 133085 , 101941 , 5103803 , 5084823 , 168230 , 75537 , 815036 , 73409 , 422412 , 437127 , 115802 , 326536 , 54707 , 81759 , 94420 , 208637 , 50361 , 1458556 , 84257 , 129114 , 54632 , 105873 , 57165 , 77578 , 233302 , 195560 , 134194 , 180928 , 140433 , 123154 , 221422 , 339866 , 1343886 , 114699 , 170052 , 150679 , 181731 , 160943 , 192590 , 125556 , 132656 , 154740 , 320932 , 140929 , 117889 , 381656 , 393635 , 306177 , 0 , 21629250},\n new double[] {526909 , 167180 , 199570 , 149154 , 142141 , 320881 , 223750 , 102275 , 258400 , 202197 , 120202 , 93404 , 178631 , 106401 , 346186 , 231729 , 163656 , 1622531 , 125689 , 2656587 , 5336032 , 2385985 , 335692 , 86118 , 130551 , 99047 , 81695 , 98846 , 238413 , 4831684 , 293262 , 124652 , 106642 , 112048 , 14284646 , 111209 , 2204635 , 128940 , 83395 , 134816 , 116320 , 65412 , 165020 , 126511 , 92217 , 111751 , 47320 , 82219 , 19044177 , 70827 , 21676 , 211214 , 103108 , 22771 , 61629 , 4816563 , 63806 , 33989 , 130104 , 146897 , 15046441 , 44977 , 40889 , 54584 , 54591 , 76634 , 238536 , 68583 , 110591 , 75012 , 503760 , 209479 , 217929 , 86397 , 102284 , 81878 , 252785 , 135884 , 129149 , 112760 , 266851 , 110863 , 67866 , 55205 , 150165 , 699438 , 184450 , 270270 , 4270036 , 345303 , 895116 , 217142 , 145398 , 301231 , 10260595 , 136317 , 442910 , 371357 , 189023 , 538928 , 438973 , 926728 , 9137 , 8879481},\n new double[] {1318228 , 1391326 , 574558 , 441739 , 719144 , 522626 , 404351 , 383602 , 490710 , 284952 , 2984474 , 216339 , 10220195 , 247067 , 166223 , 224310 , 10181837 , 126161 , 9764418 , 692337 , 25907353 , 1518741 , 1179929 , 120730 , 10173292 , 290045 , 19824327 , 402527 , 277859 , 3116841 , 7164061 , 332021 , 10560006 , 2334129 , 121753 , 200177 , 246402 , 10106648 , 1137272 , 2084673 , 461849 , 125108 , 465907 , 156972 , 139083 , 127389 , 237263 , 311691 , 156536 , 155322 , 133368 , 329715 , 256088 , 116835 , 5192615 , 823762 , 183836 , 1110239 , 2414836 , 385072 , 599637 , 387285 , 291580 , 2796924 , 12977051 , 338582 , 884415 , 525622 , 322587 , 223348 , 668858 , 143039 , 627590 , 239797 , 232788 , 256503 , 209425 , 375474 , 558106 , 290991 , 1176648 , 286550 , 149539 , 297435 , 602136 , 152733 , 212363 , 178992 , 179644 , 295428 , 933636 , 349405 , 660749 , 226061 , 868852 , 318539 , 469303 , 538061 , 273643 , 444084 , 347730 , 825808 , 12011 , 7792372}};\n\n final SimpleDateFormat dateBuilder = new SimpleDateFormat(\"yyyy-MM-dd\");\n final Calendar moments[] = new Calendar[] { Calendar.getInstance(), \n Calendar.getInstance(), Calendar.getInstance(), \n Calendar.getInstance(), Calendar.getInstance(),\n Calendar.getInstance() };\n\n moments[0].setTime(dateBuilder.parse(\"2011-10-26\"));\n moments[1].setTime(dateBuilder.parse(\"2011-10-27\"));\n moments[2].setTime(dateBuilder.parse(\"2011-10-28\"));\n moments[3].setTime(dateBuilder.parse(\"2011-10-30\"));\n moments[4].setTime(dateBuilder.parse(\"2011-11-01\"));\n moments[5].setTime(dateBuilder.parse(\"2011-11-02\"));\n\n // Nomralize data to sum 100 (i.e., have an expectance of 100/104)\n for(int i=0; i<5; i++) {\n double sum = 0;\n for(int j=0; j<104; j++) sum += coreDailyVols[i][j];\n for(int j=0; j<104; j++) {\n coreDailyVols[i][j] = coreDailyVols[i][j]*100 / sum;\n }\n }\n\n final double[][] synthesizedDailyVols = new double[\n coreDailyVols.length][instantGenerator.maxInstantValue()];\n final Calendar openTime = Calendar.getInstance();\n final int n = 9*60 / 5;\n final int m = n + coreDailyVols[0].length;\n for(int i=0; i<5; i++) {\n for(int j=0; j<n; j++) {\n synthesizedDailyVols[i][j] = Double.NaN;\n }\n for(int j=0; j<coreDailyVols[i].length; j++) {\n synthesizedDailyVols[i][j+n] = coreDailyVols[i][j];\n }\n for(int j=m; j<instantGenerator.maxInstantValue(); j++) {\n synthesizedDailyVols[i][j] = Double.NaN;\n }\n }\n\n\n final Predictor predictor = new PCAPredictorTransposed(\n instantGenerator, 5);\n for(int i=0; i<5; i++) {\n predictor.learnVector(moments[i], synthesizedDailyVols[i]);\n }\n final double prediction[] = predictor.predictVector(moments[5]);\n final double coreExpectedPrediction[] = new double[] {\n0.21383323, -0.08665493, -0.28527934, -0.45293966, -0.35525111, -0.49117788,\n-0.38114565, -0.60141152, -0.09029406, -0.44815719, -0.45152723, -0.58079146,\n-0.29110153, 1.54262599, -0.59900211, -0.48107804, -0.03280398, -0.59369964,\n-0.44886852, -0.43868587, 0.88745208, -0.10900099, -0.26251035, -0.71557572,\n-0.20051598, -0.57674404, 0.53793693, 0.15857465, -0.53212067, -0.13529962,\n-0.49171709, -0.32334222, 2.16101856, 0.46824882, 2.13337330, -0.48802957,\n-0.40084079, 1.62077396, 1.93080019, -0.59114756, -0.09429057, -0.68952951,\n-0.39819841, -0.63019599, -0.78762027, 0.12458423, 0.34847712, -0.52481068,\n0.69730449, -0.74290105, -0.68866588, -0.45964670, -0.69174165, -0.64825389,\n-0.49908622, -0.30049621, 0.35726449, 0.47210113, -0.25058065, -0.72112704,\n0.79345044, -0.73245678, -0.75581875, -0.40885896, -0.08033429, -0.56030291,\n-0.54967743, -0.63571829, -0.58889882, -0.71099478, -0.67055922, -0.03850658,\n-0.40339282, -0.43003588, -0.44813762, -0.14347007, -0.48441216, -0.48851502,\n-0.15427010, -0.39484463, 0.52701151, -0.61335693, 0.89776479, -0.18821502,\n-0.46457371, -0.39850394, -0.26234640, -0.21535441, 0.33669589, -0.48879971,\n0.43892192, 0.52101182, -0.42851659, -0.51364225, 0.85831207, -0.24052028,\n-0.04192086, -0.02287821, 0.01522206, 0.24307671, 0.27369478, 0.11058009,\n-0.95575786, 14.90733910 };\n final double synthesizedExpectedPrediction[] = new double[\n instantGenerator.maxInstantValue()];\n for(int j=0; j<n; j++) {\n synthesizedExpectedPrediction[j] = Double.NaN;\n }\n for(int j=0; j<coreExpectedPrediction.length; j++) {\n synthesizedExpectedPrediction[j+n] = coreExpectedPrediction[j];\n }\n for(int j=m; j<instantGenerator.maxInstantValue(); j++) {\n synthesizedExpectedPrediction[j] = Double.NaN;\n }\n\n assertEquals(prediction.length, synthesizedExpectedPrediction.length);\n\n for(int i=0; i<prediction.length; i++) {\n assertEquals(prediction[i], synthesizedExpectedPrediction[i], \n 0.0001d);\n }\n System.out.println(\"Ok\");\n }","public void m21425b(as asVar, bc bcVar) throws bv {\n int i = 0;\n asVar = (ax) asVar;\n ar arVar = new ar(Ascii.VT, Ascii.FF, asVar.mo7199s());\n bcVar.f18795a = new HashMap(arVar.f18601c * 2);\n for (int i2 = 0; i2 < arVar.f18601c; i2++) {\n String v = asVar.mo7202v();\n bb bbVar = new bb();\n bbVar.mo7211a(asVar);\n bcVar.f18795a.put(v, bbVar);\n }\n bcVar.m21448a(true);\n BitSet b = asVar.mo7205b(2);\n if (b.get(0)) {\n aq aqVar = new aq(Ascii.FF, asVar.mo7199s());\n bcVar.f18796b = new ArrayList(aqVar.f18598b);\n while (i < aqVar.f18598b) {\n ba baVar = new ba();\n baVar.mo7211a(asVar);\n bcVar.f18796b.add(baVar);\n i++;\n }\n bcVar.m21452b(true);\n }\n if (b.get(1)) {\n bcVar.f18797c = asVar.mo7202v();\n bcVar.m21454c(true);\n }\n }","public static double getVarience(double[] dataArray) {\n\t\t\n\t\tdouble varience = 0.0;\n\t\tdouble average = getAverage(dataArray);\n\t\t\n\t\tfor (int i = 0; i <dataArray.length; i++) {\n\t\t\tvarience += Math.pow((dataArray[i]- average),2);\n\t\t}\n\t\t\n\t\tvarience = varience/dataArray.length;\n\t\treturn varience;\n\t}","public Double getVariance() {\n return variance;\n }","static final float interp_energy2(final float prev_e, final float next_e, final float weight)\n\t{\n\t\treturn (float)(Math.pow( 10.0, (1.0 - (double)weight) * Math.log10( (double)prev_e ) + (double)weight * Math.log10( (double)next_e ) ));\n\t}","public void mo35217a(C13816g[] gVarArr) {\n this.f30692a = gVarArr;\n }","public abstract double calcSA();","void mo67922a(AbstractC32732ag agVar, Throwable th);","public FFANNAdaptiveBackPropagationJSP()\n\t{\n\t\t//run(network, numberInputNeurons, numberHiddenNeurons, numberOutputNeurons, trainingSet);\n\t}","public void updateSMA(){\n audioInput.read(audioBuffer, 0, bufferSize);\n Complex [] FFTarr = doFFT(shortToDouble(audioBuffer));\n FFTarr = bandPassFilter(FFTarr);\n double sum = 0;\n for(int i = 0; i<FFTarr.length;i++){\n sum+=Math.abs(FFTarr[i].re()); // take the absolute value of the FFT raw value\n }\n double bandPassAverage = sum/FFTarr.length;\n Log.d(LOGTAG, \"bandPassAverage: \" + bandPassAverage);\n\n //Cut out loud samples, otherwise compute rolling average as usual\n if(bandPassAverage>THROW_OUT_THRESHOLD){\n mySMA.compute(mySMA.currentAverage());\n }else {\n mySMA.compute(bandPassAverage);\n }\n }","private void updateMuVariance() {\n\t\tmu = train.getLocalMean(); \n\t\tsigma = train.getLocalVariance(); \n\t\t\n\t\t/*\n\t\t * If the ratio of data variance between dimensions is too small, it \n\t\t * will cause numerical errors. To address this, we artificially boost\n\t\t * the variance by epsilon, a small fraction of the standard deviation\n\t\t * of the largest dimension. \n\t\t * */\n\t\tupdateEpsilon(); \n\t\tsigma = MathUtils.add(sigma, epsilon); \n\t\t\n\t}","private void method_252(int[] var1, int[] var2, int var3, int var4, int var5, int var6, int var7, int var8, int var9, int var10, int var11, int var12, int var13, int var14) {\n boolean var21 = field_759;\n int var15 = 256 - var14;\n\n try {\n int var16 = var4;\n int var17 = -var9;\n if(var21 || var17 < 0) {\n do {\n int var18 = (var5 >> 16) * var12;\n int var19 = -var8;\n if(!var21 && var19 >= 0) {\n var5 += var11;\n var4 = var16;\n var6 += var7;\n var17 += var13;\n } else {\n do {\n label23: {\n var3 = var2[(var4 >> 16) + var18];\n if(var3 != 0) {\n int var20 = var1[var6];\n var1[var6++] = ((var3 & 16711935) * var14 + (var20 & 16711935) * var15 & -16711936) + ((var3 & '\\uff00') * var14 + (var20 & '\\uff00') * var15 & 16711680) >> 8;\n if(!var21) {\n break label23;\n }\n }\n\n ++var6;\n }\n\n var4 += var10;\n ++var19;\n } while(var19 < 0);\n\n var5 += var11;\n var4 = var16;\n var6 += var7;\n var17 += var13;\n }\n } while(var17 < 0);\n\n }\n } catch (Exception var22) {\n System.out.println(\"error in tran_scale\"); // authentic System.out.println\n }\n }","public void populateNoiseArray(double[] p_76308_1_, double p_76308_2_, double p_76308_4_, double p_76308_6_, int p_76308_8_, int p_76308_9_, int p_76308_10_, double p_76308_11_, double p_76308_13_, double p_76308_15_, double p_76308_17_) {\n/* 81 */ if (p_76308_9_ == 1) {\n/* */ \n/* 83 */ boolean var64 = false;\n/* 84 */ boolean var65 = false;\n/* 85 */ boolean var21 = false;\n/* 86 */ boolean var68 = false;\n/* 87 */ double var70 = 0.0D;\n/* 88 */ double var73 = 0.0D;\n/* 89 */ int var75 = 0;\n/* 90 */ double var77 = 1.0D / p_76308_17_;\n/* */ \n/* 92 */ for (int var30 = 0; var30 < p_76308_8_; var30++) {\n/* */ \n/* 94 */ double var31 = p_76308_2_ + var30 * p_76308_11_ + this.xCoord;\n/* 95 */ int var78 = (int)var31;\n/* */ \n/* 97 */ if (var31 < var78)\n/* */ {\n/* 99 */ var78--;\n/* */ }\n/* */ \n/* 102 */ int var34 = var78 & 0xFF;\n/* 103 */ var31 -= var78;\n/* 104 */ double var35 = var31 * var31 * var31 * (var31 * (var31 * 6.0D - 15.0D) + 10.0D);\n/* */ \n/* 106 */ for (int var37 = 0; var37 < p_76308_10_; var37++)\n/* */ {\n/* 108 */ double var38 = p_76308_6_ + var37 * p_76308_15_ + this.zCoord;\n/* 109 */ int var40 = (int)var38;\n/* */ \n/* 111 */ if (var38 < var40)\n/* */ {\n/* 113 */ var40--;\n/* */ }\n/* */ \n/* 116 */ int var41 = var40 & 0xFF;\n/* 117 */ var38 -= var40;\n/* 118 */ double var42 = var38 * var38 * var38 * (var38 * (var38 * 6.0D - 15.0D) + 10.0D);\n/* 119 */ int var19 = this.permutations[var34] + 0;\n/* 120 */ int var66 = this.permutations[var19] + var41;\n/* 121 */ int var67 = this.permutations[var34 + 1] + 0;\n/* 122 */ int var22 = this.permutations[var67] + var41;\n/* 123 */ var70 = lerp(var35, func_76309_a(this.permutations[var66], var31, var38), grad(this.permutations[var22], var31 - 1.0D, 0.0D, var38));\n/* 124 */ var73 = lerp(var35, grad(this.permutations[var66 + 1], var31, 0.0D, var38 - 1.0D), grad(this.permutations[var22 + 1], var31 - 1.0D, 0.0D, var38 - 1.0D));\n/* 125 */ double var79 = lerp(var42, var70, var73);\n/* 126 */ int var10001 = var75++;\n/* 127 */ p_76308_1_[var10001] = p_76308_1_[var10001] + var79 * var77;\n/* */ }\n/* */ \n/* */ } \n/* */ } else {\n/* */ \n/* 133 */ int var19 = 0;\n/* 134 */ double var20 = 1.0D / p_76308_17_;\n/* 135 */ int var22 = -1;\n/* 136 */ boolean var23 = false;\n/* 137 */ boolean var24 = false;\n/* 138 */ boolean var25 = false;\n/* 139 */ boolean var26 = false;\n/* 140 */ boolean var27 = false;\n/* 141 */ boolean var28 = false;\n/* 142 */ double var29 = 0.0D;\n/* 143 */ double var31 = 0.0D;\n/* 144 */ double var33 = 0.0D;\n/* 145 */ double var35 = 0.0D;\n/* */ \n/* 147 */ for (int var37 = 0; var37 < p_76308_8_; var37++) {\n/* */ \n/* 149 */ double var38 = p_76308_2_ + var37 * p_76308_11_ + this.xCoord;\n/* 150 */ int var40 = (int)var38;\n/* */ \n/* 152 */ if (var38 < var40)\n/* */ {\n/* 154 */ var40--;\n/* */ }\n/* */ \n/* 157 */ int var41 = var40 & 0xFF;\n/* 158 */ var38 -= var40;\n/* 159 */ double var42 = var38 * var38 * var38 * (var38 * (var38 * 6.0D - 15.0D) + 10.0D);\n/* */ \n/* 161 */ for (int var44 = 0; var44 < p_76308_10_; var44++) {\n/* */ \n/* 163 */ double var45 = p_76308_6_ + var44 * p_76308_15_ + this.zCoord;\n/* 164 */ int var47 = (int)var45;\n/* */ \n/* 166 */ if (var45 < var47)\n/* */ {\n/* 168 */ var47--;\n/* */ }\n/* */ \n/* 171 */ int var48 = var47 & 0xFF;\n/* 172 */ var45 -= var47;\n/* 173 */ double var49 = var45 * var45 * var45 * (var45 * (var45 * 6.0D - 15.0D) + 10.0D);\n/* */ \n/* 175 */ for (int var51 = 0; var51 < p_76308_9_; var51++) {\n/* */ \n/* 177 */ double var52 = p_76308_4_ + var51 * p_76308_13_ + this.yCoord;\n/* 178 */ int var54 = (int)var52;\n/* */ \n/* 180 */ if (var52 < var54)\n/* */ {\n/* 182 */ var54--;\n/* */ }\n/* */ \n/* 185 */ int var55 = var54 & 0xFF;\n/* 186 */ var52 -= var54;\n/* 187 */ double var56 = var52 * var52 * var52 * (var52 * (var52 * 6.0D - 15.0D) + 10.0D);\n/* */ \n/* 189 */ if (var51 == 0 || var55 != var22) {\n/* */ \n/* 191 */ var22 = var55;\n/* 192 */ int var69 = this.permutations[var41] + var55;\n/* 193 */ int var71 = this.permutations[var69] + var48;\n/* 194 */ int var72 = this.permutations[var69 + 1] + var48;\n/* 195 */ int var74 = this.permutations[var41 + 1] + var55;\n/* 196 */ int var75 = this.permutations[var74] + var48;\n/* 197 */ int var76 = this.permutations[var74 + 1] + var48;\n/* 198 */ var29 = lerp(var42, grad(this.permutations[var71], var38, var52, var45), grad(this.permutations[var75], var38 - 1.0D, var52, var45));\n/* 199 */ var31 = lerp(var42, grad(this.permutations[var72], var38, var52 - 1.0D, var45), grad(this.permutations[var76], var38 - 1.0D, var52 - 1.0D, var45));\n/* 200 */ var33 = lerp(var42, grad(this.permutations[var71 + 1], var38, var52, var45 - 1.0D), grad(this.permutations[var75 + 1], var38 - 1.0D, var52, var45 - 1.0D));\n/* 201 */ var35 = lerp(var42, grad(this.permutations[var72 + 1], var38, var52 - 1.0D, var45 - 1.0D), grad(this.permutations[var76 + 1], var38 - 1.0D, var52 - 1.0D, var45 - 1.0D));\n/* */ } \n/* */ \n/* 204 */ double var58 = lerp(var56, var29, var31);\n/* 205 */ double var60 = lerp(var56, var33, var35);\n/* 206 */ double var62 = lerp(var49, var58, var60);\n/* 207 */ int var10001 = var19++;\n/* 208 */ p_76308_1_[var10001] = p_76308_1_[var10001] + var62 * var20;\n/* */ } \n/* */ } \n/* */ } \n/* */ } \n/* */ }","@Override\r\n\tpublic void sub(float var) {\n\t\t\r\n\t}","private void updateVariance() {\r\n double variance = 0.0;\r\n updateMean();\r\n for (Tweet t : members) {\r\n variance += ((t.getDateLong() - this.mean) * (t.getDateLong() - this.mean));\r\n }\r\n variance /= members.size();\r\n this.variance = variance;\r\n }","public double functionValue(double[] var) {\n\tdouble val = 0;\n\tfor (int i=0; i<numberOfParameters; i++) { val += p[i]*Math.pow(var[0], i+1); }\n\tval +=1.;\n\treturn val;\n }","public void mo7214b(as asVar) throws bv {\n ((az) f18794i.get(asVar.mo7206y())).mo7210b().mo7208a(asVar, this);\n }","public void as(lj ljVar) {\n while (true) {\n int af = ljVar.af(1804771424);\n if (af != 0) {\n al(ljVar, af, 413278078);\n } else {\n return;\n }\n }\n }","private void method_253(int[] var1, int[] var2, int var3, int var4, int var5, int var6, int var7, int var8, int var9, int var10, int var11, int var12, int var13, int var14) {\n boolean var25 = field_759;\n int var15 = var14 >> 16 & 255;\n int var16 = var14 >> 8 & 255;\n int var17 = var14 & 255;\n\n try {\n int var18 = var4;\n int var19 = -var9;\n if(var25 || var19 < 0) {\n do {\n int var20 = (var5 >> 16) * var12;\n int var21 = -var8;\n if(!var25 && var21 >= 0) {\n var5 += var11;\n var4 = var18;\n var6 += var7;\n var19 += var13;\n } else {\n do {\n label30: {\n var3 = var2[(var4 >> 16) + var20];\n if(var3 != 0) {\n int var22 = var3 >> 16 & 255;\n int var23 = var3 >> 8 & 255;\n int var24 = var3 & 255;\n if(var22 == var23 && var23 == var24) {\n var1[var6++] = (var22 * var15 >> 8 << 16) + (var23 * var16 >> 8 << 8) + (var24 * var17 >> 8);\n if(!var25) {\n break label30;\n }\n }\n\n var1[var6++] = var3;\n if(!var25) {\n break label30;\n }\n }\n\n ++var6;\n }\n\n var4 += var10;\n ++var21;\n } while(var21 < 0);\n\n var5 += var11;\n var4 = var18;\n var6 += var7;\n var19 += var13;\n }\n } while(var19 < 0);\n\n }\n } catch (Exception var26) {\n System.out.println(\"error in plot_scale\"); // authentic System.out.println\n }\n }","void warmup(ConsolidatedSnapshot snapshot, double[] forecasts);","public static void main(String[] args) throws Exception {\n File file = new File(\"out/gSeries\" + Interpolate.prefix + \"/zeros.dat\");\n// DataOutputStream out = Interpolate.outputStream( file);\n ZeroInfo zeroInput = null;\n int N = 1003814;\n double[] nextValues = null;\n double max = 70;\n int run = 0;\n int beginRun = 0;\n for (int i = 0; i < N ; i++) {\n zeroInput = readSingleZero( Interpolate.zeroIn, nextValues);\n nextValues = zeroInput.nextValues;\n// if(i>1003800){\n// if(Math.abs(zeroInput.lastZero[1])>max){\n// run = 0;\n// beginRun = i;\n// } else {\n// run++;\n// }\n// }\n// if(run>40){\n// //run at 1003813\n// System.out.println(\"run at \" + beginRun);\n// break;\n// }\n if(i<3792 ){\n continue;\n }\n final double z0 = zeroInput.lastZero[0];\n final double z1 = zeroInput.nextValues[0];\n final double d0 = zeroInput.lastZero[1];\n final double d1 = zeroInput.nextValues[1];\n final double maxFromInput = d0>0?zeroInput.lastZero[2]:-zeroInput.lastZero[2];\n if(i==3792 || i==1003813){\n //gSeries.begin 476.85026008636953\n Poly4 poly = new Poly4(z0,z1, d0,d1,maxFromInput);\n System.out.println(i + \", \" + Arrays.toString(zeroInput.lastZero) +\n \", \\n\" + \"positionMax \" + poly.positionMax \n + \", \" + poly.eval(poly.positionMax) \n + \", \\n\" + Arrays.toString(nextValues));\n }\n// for (int j = 0; j < zeroInput.lastZero.length; j++) {\n// out.writeDouble(zeroInput.lastZero[j]);\n// }\n// out.writeDouble(poly.positionMax);\n }\n// out.close();\n// DataInputStream in = Interpolate.dataInputStream( file);\n// double[] tmin = new double[4];\n// for (int i = 0; i < N-3792 ; i++) \n// {\n// for (int i1 = 0; i1 < tmin.length; i1++) \n// {\n// tmin[i1] = in.readDouble();\n// }\n// System.out.println(Arrays.toString(tmin));\n// }\n// in.close();\n }","public double getBeta();","public abstract float[] calcIntensityScaleExtrema(float maxRI, float minRI,\n float maxRaw, float minRaw,\n int sampleNbr);","public double[] method_4317(int var1, float var2) {\r\n String[] var3 = class_752.method_4253();\r\n float var11;\r\n int var10000 = (var11 = this.method_406() - 0.0F) == 0.0F?0:(var11 < 0.0F?-1:1);\r\n if(var3 != null) {\r\n if(var10000 <= 0) {\r\n var2 = 0.0F;\r\n }\r\n\r\n var2 = 1.0F - var2;\r\n var10000 = this.field_3402 - var1 * 1 & 63;\r\n }\r\n\r\n int var4 = var10000;\r\n int var5 = this.field_3402 - var1 * 1 - 1 & 63;\r\n double[] var6 = new double[3];\r\n double var7 = this.field_3401[var4][0];\r\n double var9 = class_1715.method_9580(this.field_3401[var5][0] - var7);\r\n var6[0] = var7 + var9 * (double)var2;\r\n var7 = this.field_3401[var4][1];\r\n var9 = this.field_3401[var5][1] - var7;\r\n var6[1] = var7 + var9 * (double)var2;\r\n var6[2] = this.field_3401[var4][2] + (this.field_3401[var5][2] - this.field_3401[var4][2]) * (double)var2;\r\n return var6;\r\n }","public void mo1508a(C0370g gVar) {\n gVar.mo1563a((C0386n) this, this.f1290b);\n if (mo1515d()) {\n m2011d(gVar);\n } else {\n this.f1281S.add(gVar);\n }\n }","public XYSeriesCollection eulers(double t0, double tF, double stepSize,\n ArrayList<Argument> argumentList, ArrayList<Argument> variableArgList,\n ArrayList<StockObject> stockArrayList, ArrayList<FlowObject> flowArrayList, ArrayList<VariableObject> variableArrayList) {\n Argument[] aVarList = argumentList.toArray(new Argument[argumentList.size()]);\n //aTempVarList only created to later create the temparg array list\n Argument[] aTempVarList = new Argument[argumentList.size()];\n for (int j = 0; j < aVarList.length; j++) {\n aTempVarList[j] = aVarList[j].clone();\n }\n int numSteps = (int) ((tF - t0) / stepSize);\n double t = t0;\n //javax.swing.JProgressBar pbar = new javax.swing.JProgressBar(0,numSteps);\n //int cutoff = String.valueOf(t).length()-1;\n ArrayList<Argument> aTempArgArrayList = new ArrayList<Argument>();\n for (int j = 0; j < aVarList.length; j++) {\n aTempArgArrayList.add(aTempVarList[j]);\n }\n double[] dydt = new double[argumentList.size()];\n\n ArrayList<Double> k1 = new ArrayList<Double>();\n\n //idea is to set k1 to double 0\n for (int x = 0; x < stockArrayList.size(); x++) {\n k1.add(0.0);\n }\n\n //array list length of amount of stocks\n ArrayList<XYSeries> series = new ArrayList<XYSeries>();\n\n //create series to hold graph data\n for (int i = 0; i < stockArrayList.size(); i++) {\n XYSeries tempSeries = new XYSeries(stockArrayList.get(i).getObjName());\n series.add(tempSeries);\n }\n\n final XYSeriesCollection data = new XYSeriesCollection();\n //create strings to hold table data\n\n //add initial values to series\n for (int i = 0; i < stockArrayList.size(); i++) {\n series.get(i).add(0, argumentList.get(i).getArgumentValue());\n }\n int numOfStocks = stockArrayList.size();\n double value;\n // label the string array for columns\n String stockNames = \"Time,\";\n for (int x = 0; x < stockArrayList.size(); x++) {\n stockNames += argumentList.get(x).getArgumentName() + \",\";\n }\n String[] tableStrings = new String[stockArrayList.size() + 1];\n String columns[] = stockNames.split(\",\");\n tableModel = new DefaultTableModel(0, stockArrayList.size() + 1);\n tableModel.setColumnIdentifiers(columns); // set the labels\n\n for (int n = 0; n < numSteps; n++) {\n \n t = t0 + (n * stepSize);\n variableArgList.get(variableArgList.size() - 1).setArgumentValue(t);\n // t = Math.ceil(t * 10000) / 10000;\n\n //Let's find k1:\n dydt = RightHandSide(variableArgList, argumentList, flowArrayList, stockArrayList, variableArrayList);\n\n for (int i = 0; i < numOfStocks; i++) {\n\n k1.set(i, stepSize * dydt[i]);\n }\n\n for (int i = 0; i < numOfStocks; i++) {\n\n value = argumentList.get(i).getArgumentValue() + (k1.get(i));\n //value = Math.ceil(value * 10000) / 10000;\n argumentList.get(i).setArgumentValue(value);\n \n }\n\n int row = n + 1;\n //double tablex=row*stepSize;\n //tableStrings[0] = Double.toString(Math.floor(tablex*Math.pow(10,cutoff))/Math.pow(10,cutoff));\n tableStrings[0] = Double.toString(row * stepSize);\n for (int col = 0; col < stockArrayList.size(); col++) {\n tableStrings[col + 1] = Double.toString(argumentList.get(col).getArgumentValue());\n }\n tableModel.addRow(tableStrings);\n\n for (int i = 0; i < stockArrayList.size(); i++) {\n series.get(i).add(t, argumentList.get(i).getArgumentValue());\n }\n }\n for (int i = 0; i < stockArrayList.size(); i++) {\n data.addSeries(series.get(i));\n }\n return data;\n }","private static native void fastGlobalSmootherFilter_0(long guide_nativeObj, long src_nativeObj, long dst_nativeObj, double lambda, double sigma_color, double lambda_attenuation, int num_iter);","private static float[] delay(int lag, float[] x) {\n int nt = x.length;\n int itlo = max(0,lag); // 0 <= it-lag\n int ithi = min(nt,nt+lag); // it-lag < nt\n float[] y = new float[nt];\n for (int it=0; it<itlo; ++it)\n y[it] = 0.0f;\n for (int it=itlo; it<ithi; ++it)\n y[it] = x[it-lag];\n for (int it=ithi; it<nt; ++it)\n y[it] = 0.0f;\n return y;\n }","float getPostGain();","@Test\n public void testShadowBuffer(){\n numberOfTrees = 100;\n sampleSize = 256;\n dimensions = 3;\n randomSeed = 123;\n\n RandomCutForest newForest = RandomCutForest.builder()\n .numberOfTrees(numberOfTrees)\n .sampleSize(sampleSize)\n .dimensions(dimensions)\n .randomSeed(randomSeed)\n .centerOfMassEnabled(true)\n .storeSequenceIndexesEnabled(true)\n .build();\n\n dataSize = 10_000;\n\n baseMu = 0.0;\n baseSigma = 1.0;\n anomalyMu = 5.0;\n anomalySigma = 1.5;\n transitionToAnomalyProbability = 0.01;\n transitionToBaseProbability = 0.4;\n\n NormalMixtureTestData generator = new NormalMixtureTestData(baseMu, baseSigma, anomalyMu, anomalySigma,\n transitionToAnomalyProbability, transitionToBaseProbability);\n double[][] data = generator.generateTestData(dataSize, dimensions);\n\n for (int i = 0; i < dataSize; i++) {\n newForest.update(data[i]);\n }\n\n double [] point = new double [] {-8.0,-8.0,0.0};\n DiVector result=newForest.getAnomalyAttribution(point);\n double score=newForest.getAnomalyScore(point);\n assertEquals(score,result.getHighLowSum(),1E-10);\n assertTrue(score>2);\n assertTrue(result.getHighLowSum(2)<0.2);\n // the third dimension has little influence in classification\n\n // this is going to add {8,8,0} into the forest\n // but not enough to cause large scale changes\n // note the probability of a tree seeing a change is\n // 256/10_000\n for (int i = 0; i < 5; i++) {\n newForest.update(point);\n }\n\n DiVector newResult=newForest.getAnomalyAttribution(point);\n double newScore=newForest.getAnomalyScore(point);\n\n assertEquals(newScore,newResult.getHighLowSum(),1E-10);\n assertTrue(newScore<score);\n for(int j=0;j<3;j++){\n // relationship holds at larger values\n if (result.high[j]>0.2) {\n assertEquals(score * newResult.high[j], newScore * result.high[j], 0.1*score);\n } else {\n assertTrue(newResult.high[j]<0.2);\n }\n\n if (result.low[j]>0.2) {\n assertEquals(score * newResult.low[j], newScore * result.low[j], 0.1*score);\n } else {\n assertTrue(newResult.low[j]<0.2);\n }\n }\n\n // this will make the point an inlier\n for (int i = 0; i < 5000; i++) {\n newForest.update(point);\n }\n\n DiVector finalResult=newForest.getAnomalyAttribution(point);\n double finalScore=newForest.getAnomalyScore(point);\n assertTrue(finalScore<1);\n assertEquals(finalScore,finalResult.getHighLowSum(),1E-10);\n\n for(int j=0;j<3;j++){\n // relationship holds at larger values\n if (finalResult.high[j]>0.2) {\n assertEquals(score * finalResult.high[j], finalScore * result.high[j], 0.1*score);\n } else {\n assertTrue(newResult.high[j]<0.2);\n }\n\n if (finalResult.low[j]>0.2) {\n assertEquals(score * finalResult.low[j], finalScore * result.low[j], 0.1*score);\n } else {\n assertTrue(finalResult.low[j]<0.2);\n }\n }\n\n }","protected void setVariance(double value) {\n\t variance = value;\n\t}","protected void setVariance(double value) {\n\t variance = value;\n\t}","public double[][] deconstructTimeSeries( ArrayList< Double > series, \n int numberOfVariables, \n int lag )\n {\n int N = series.size() - numberOfVariables * lag;\n while( N < 0 )\n {\n numberOfVariables--;\n N = series.size() - (numberOfVariables) * lag;\n }\n double[][] variables = new double[ numberOfVariables ][ N ];\n\n for( int i=0; i<numberOfVariables; i++ )\n {\n for( int j=0; j<N; j++ )\n {\n variables[ i ][ j ] = series.get( i * lag + j );\n }\n }\n\n return variables;\n }","protected Element arrayVar(String suffix){\n\t\treturn el(\"bpws:variable\", new Node[]{\n\t\t\t\tattr(\"element\", \"wsa:addresses\"),\n\t\t\t\tattr(\"name\", ARRAY_VAR_PRFX + suffix)\n\t\t});\n\t}","public Double getEstimatedPathLossExponentVariance() {\n return mEstimatedPathLossExponentVariance;\n }","public Double getEstimatedPathLossExponentVariance() {\n return mEstimatedPathLossExponentVariance;\n }","float getPreGain();","public float getGamma();","public Options varianceEpsilon(Float varianceEpsilon) {\n this.varianceEpsilon = varianceEpsilon;\n return this;\n }","Series<double[]> makeSeries(int dimension);"],"string":"[\n \"double [] calcGamma(){\\n\\t\\t\\tgamma = new double [N];\\n\\t\\t\\tdouble [] gammaParam = new double [noLiveSites];\\n\\t\\t\\tint liveSite = 0;\\n\\t\\t\\tfor (int i = 0; i < N; i ++){\\n\\t\\t\\t\\tgamma[i] = 1.0;\\n\\t\\t\\t\\tif(aliveLattice[i]){\\n\\t\\t\\t\\t\\tdouble phi_i = 1.0 - fracDeadNbors[i];\\n\\t\\t\\t\\t\\tgammaParam[liveSite] = 1-phi_i*(1-alpha[i]);\\n\\t\\t\\t\\t\\tgamma[i] = gammaParam[liveSite];\\n\\t\\t\\t\\t\\tliveSite += 1;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tdouble ave = MathTools.mean(gammaParam);\\n\\t\\t\\tdouble var = MathTools.variance(gammaParam);\\n\\t\\t\\tdouble [] ret = new double [2];\\n\\t\\t\\tret[0] = ave;\\n\\t\\t\\tret[1] = var;\\n\\t\\t\\treturn ret;\\n\\t\\t}\",\n \"public TimeDecayingAverage(double phi, double average) {\\n setPhi(phi);\\n this.average = average;\\n }\",\n \"public void resample_alpha_ESS(boolean supervised, MapWrapper[][] xsub, double[][] dict, Gamma rngG,\\n Random rand, Normal rngN, PoissonModel2_RegCoef beta_model,\\n boolean verbose, long start) {\\n if (!supervised) {\\n resample_alpha(supervised, xsub, dict, rngG, rand, beta_model, verbose, start);\\n }else{\\n double alpha_verbose = 0;\\n double[][] alpha_prior = new double[N][P];\\n for (int i = 0; i < N; i++) {\\n for (int p = 0; p < this.P; p++) {\\n alpha_prior[i][p] = resample_alpha_laplace(i, p, xsub, dict, rngG, rand);\\n }\\n }\\n // elliptical slice sampling\\n double[][] alpha_new = beta_model.ElipticalSliceSamplerJoint(rand, rngN, alpha_prior, this.alpha, start,\\n verbose);\\n// System.out.println(Arrays.toString(alpha_prior[0]));\\n// System.out.println(Arrays.toString(alpha[0]));\\n// System.out.println(Arrays.toString(alpha_new[0]));\\n int count = 0;\\n for (int i = 0; i < N; i++) {\\n for (int p = 0; p < this.P; p++) {\\n // todo: this truncation step does change the likelihood space, danger??\\n if(alpha_new[i][p] < 0) count++;\\n this.alpha[i][p] = Math.max(alpha_new[i][p], 0);\\n }\\n }\\n if (verbose) {\\n System.out.print(\\\"finish alpha: \\\");\\n System.out.printf(\\\"%.2fmin, Mean %.2f\\\\n\\\", (double) (System.currentTimeMillis() - start) / 1000 / 60,\\n (alpha_verbose + 0.0) / (P * N + 0.0));\\n }\\n }\\n }\",\n \"private double[] varianceArray(){\\n\\t\\tdouble[] varianceVals = new double[values.length];\\n\\t\\tfor(int i = 0; i < values.length; i++){\\n\\t\\t\\tvarianceVals[i] = Math.pow(values[i] - mean , 2.0);\\n\\t\\t}\\n\\t\\treturn varianceVals;\\n\\t}\",\n \"void backpropagate(float[] inputs, float... targets);\",\n \"private static double calculateMovingAverage(JsArrayNumber history) {\\n double[] vals = new double[history.length()];\\n long size = history.length();\\n double sum = 0.0;\\n double mSum = 0.0;\\n long mCount = 0;\\n\\n // Check for sufficient data\\n if (size >= 8) {\\n // Clone the array and Calculate sum of the values\\n for (int i = 0; i < size; i++) {\\n vals[i] = history.get(i);\\n sum += vals[i];\\n }\\n double mean = sum / size;\\n\\n // Calculate variance for the set\\n double varianceTemp = 0.0;\\n for (int i = 0; i < size; i++) {\\n varianceTemp += Math.pow(vals[i] - mean, 2);\\n }\\n double variance = varianceTemp / size;\\n double standardDev = Math.sqrt(variance);\\n\\n // Standardize the Data\\n for (int i = 0; i < size; i++) {\\n vals[i] = (vals[i] - mean) / standardDev;\\n }\\n\\n // Calculate the average excluding outliers\\n double deviationRange = 2.0;\\n\\n for (int i = 0; i < size; i++) {\\n if (vals[i] <= deviationRange && vals[i] >= -deviationRange) {\\n mCount++;\\n mSum += history.get(i);\\n }\\n }\\n\\n } else {\\n // Calculate the average (not enough data points to remove outliers)\\n mCount = size;\\n for (int i = 0; i < size; i++) {\\n mSum += history.get(i);\\n }\\n }\\n\\n return mSum / mCount;\\n }\",\n \"public TimeDecayingAverage(double phi) {\\n this(phi, 0D);\\n }\",\n \"public void decay()\\n\\t{\\n\\t\\tprotons -= 2;\\n\\t\\tneutrons -= 2;\\n\\t}\",\n \"public double varianceExponent()\\n\\t{\\n\\t\\treturn _dblVarianceExponent;\\n\\t}\",\n \"public void decay() {\\r\\n\\t\\tprotons -= 2;\\r\\n\\t\\tneutrons -= 2;\\r\\n\\t}\",\n \"public static void avevar(final double[] data, final $double ave, final $double var) {\\n double s, ep;\\r\\n int j, n = data.length;\\r\\n ave.$(0.0);\\r\\n for (j = 0; j < n; j++)\\r\\n ave.$(ave.$() + data[j]);\\r\\n ave.$(ave.$() / n);\\r\\n var.$(ep = 0.0);\\r\\n for (j = 0; j < n; j++) {\\r\\n s = data[j] - ave.$();\\r\\n ep += s;\\r\\n var.$(var.$() + (s * s));\\r\\n }\\r\\n var.$((var.$() - ep * ep / n) / (n - 1)); // Corrected two-pass\\r\\n // formula (14.1.8).\\r\\n }\",\n \"@Override\\n public void backward() {\\n Tensor x = modInX.getOutput();\\n Tensor tmp = new Tensor(yAdj); // copy\\n tmp.elemDivide(x);\\n modInX.getOutputAdj().elemAdd(tmp);\\n }\",\n \"@Test\\n public void test_0030() {\\n AutoCovariance instance = new AutoCovariance(\\n new ARIMAModel(\\n new double[]{0.5},\\n 0,\\n new double[]{-0.8}),\\n 1, 10);\\n\\n assertEquals(1.120000, instance.evaluate(0), 1e-5);\\n assertEquals(-0.240000, instance.evaluate(1), 1e-5);\\n assertEquals(-0.120000, instance.evaluate(2), 1e-5);\\n assertEquals(-0.060000, instance.evaluate(3), 1e-5);\\n assertEquals(-0.030000, instance.evaluate(4), 1e-5);\\n assertEquals(-0.015000, instance.evaluate(5), 1e-5);\\n assertEquals(-0.007500, instance.evaluate(6), 1e-5);\\n assertEquals(-0.003750, instance.evaluate(7), 1e-5);\\n assertEquals(-0.00187500, instance.evaluate(8), 1e-5);\\n assertEquals(-0.00093750, instance.evaluate(9), 1e-5);\\n assertEquals(-0.00046875, instance.evaluate(10), 1e-5);\\n }\",\n \"public void predictLossForDayIndex(String destinationDescription, double lossAmount, boolean addBack, double addBackAmount, int dayIndex);\",\n \"public float[] BackSubstitution(){\\n float[] solX = new float[this.NBrsEff];\\n float temp;\\n for (int i=this.NBrsEff-1; i>=0; i--){\\n temp = this.M[i][this.NKolEff-1];\\n for (int j=this.NKolEff-2; j>i; j--){\\n temp -= solX[j] * this.M[i][j];\\n }\\n solX[i] = temp/this.M[i][i];\\n System.out.println(\\\"SolX: \\\"+solX[i]);\\n }\\n return solX;\\n }\",\n \"@Test\\n public void test_0040() {\\n AutoCovariance instance = new AutoCovariance(\\n new ARIMAModel(new double[]{0.3, -0.2, 0.05, 0.04}, 0, new double[]{0.2, 0.5}),\\n 1, 10);\\n\\n assertEquals(1.461338, instance.evaluate(0), 1e-5);\\n assertEquals(0.764270, instance.evaluate(1), 1e-5);\\n assertEquals(0.495028, instance.evaluate(2), 1e-5);\\n assertEquals(0.099292, instance.evaluate(3), 1e-5);\\n assertEquals(0.027449, instance.evaluate(4), 1e-5);\\n assertEquals(0.043699, instance.evaluate(5), 1e-5);\\n assertEquals(0.032385, instance.evaluate(6), 1e-5);\\n assertEquals(0.006320, instance.evaluate(7), 1e-5);\\n assertEquals(-0.001298186, instance.evaluate(8), 1e-5);\\n assertEquals(0.001713744, instance.evaluate(9), 1e-5);\\n assertEquals(0.002385183, instance.evaluate(10), 1e-5);\\n }\",\n \"public void decay() {\\r\\n\\t\\tfor(int i=0;i<boxes[0];i++)\\r\\n\\t\\t\\tfor(int j=0;j<boxes[1];j++)\\r\\n\\t\\t\\t\\tfor(int k=0;k<boxes[2];k++) quantity[i][j][k] *= (1 - decayRate*sim.getDt());\\r\\n\\t}\",\n \"public static void main(String[] args)\\r\\n {\\r\\n //GammaDistribution gam = new GammaDistribution(10.0, 20.0);\\r\\n //double gamR = gam.sample();\\r\\n //System.out.println(gamR);\\r\\n \\r\\n for(String s : args)\\r\\n {\\r\\n System.out.println(s);\\r\\n }\\r\\n //if we run the code without any arguments then use default, else overwrite\\r\\n int lnth = args.length; \\r\\n if (lnth != 0 ) {\\r\\n int diff = 0;\\r\\n try {\\r\\n //totalT = Integer.valueOf(args[0+diff]);\\r\\n //totalY = Integer.valueOf(args[1+diff]);\\r\\n //totalYears = Integer.valueOf(args[2+diff]);\\r\\n dataSet = args[0+diff];\\r\\n yrs = Integer.valueOf(args[1+diff]);\\r\\n spreadYrs = Integer.valueOf(args[2+diff]);\\r\\n maxDepth = Integer.valueOf(args[3+diff]);\\r\\n popSize = Integer.valueOf(args[4+diff]);\\r\\n tournamentSize = (popSize / 100) - 1;\\r\\n mutProb = Double.valueOf(args[5+diff]);\\r\\n xoverProb = Double.valueOf(args[6+diff]); \\r\\n elitismPercentage = Double.valueOf(args[7+diff]);\\r\\n primProb = Double.valueOf(args[8+diff]);\\r\\n terminalNodeCrossBias = Double.valueOf(args[9+diff]);\\r\\n nGens = Integer.valueOf(args[10+diff]);\\r\\n lowerLowBound = Double.valueOf(args[11+diff]);\\r\\n lowerUpBound = Double.valueOf(args[12+diff]);\\r\\n upperLowBound = Double.valueOf(args[13+diff]);\\r\\n upperUpBound = Double.valueOf(args[14+diff]);\\r\\n movingAverage = Integer.valueOf(args[15+diff]);\\r\\n totalNumParams = 0;\\r\\n additionalParameters = 0;\\r\\n parameterIndex.add(0);\\r\\n for (int i = 16; i < args.length -1 + diff; i++) { // minus 1 as the last parameter is whether to use bound \\r\\n if (Integer.valueOf(args[i]) == 1) { \\r\\n totalNumParams++;\\r\\n parameterIndex.add(i-15); //parameterIndex starts from 1, becuase my pred value is in column 0\\r\\n if (i >= args.length -9 + diff) {//minus 1 to compensate for last value and minus 8 for the 9 parameters\\r\\n additionalParameters++;\\r\\n }\\r\\n } \\r\\n }\\r\\n lowerBound = Integer.valueOf(args[args.length - 1]); //last value is whether to use a lower bound\\r\\n } catch (ArrayIndexOutOfBoundsException t) {\\r\\n System.out.println(\\\"args not enough, please check\\\");\\r\\n }\\r\\n } else {\\r\\n for (int i = 0; i < totalNumParams; i++) {\\r\\n parameterIndex.add(i);\\r\\n }\\r\\n }\\r\\n FReader read = new FReader();\\r\\n header = read.readHeader(\\\"Data/header.txt\\\");\\r\\n parametersLength = header.length - 9; //take away the 9 parameters that will be calculated within GP\\r\\n \\r\\n Expr[] evolvedMethodParameters = new Expr[totalNumParams-1];\\r\\n eval = new PredictionEvaluatorTrue2(nRuns, contractLength, parameterIndex, parametersLength, additionalParameters);\\r\\n \\r\\n Function evolvedMethod = new Function(Double.TYPE, new Class[0]);\\r\\n TreeManager.evolvedMethod = evolvedMethod;\\r\\n \\r\\n \\r\\n for (int i=0; i<totalNumParams-1; i++) {\\r\\n \\r\\n evolvedMethodParameters[i] = new Parameter(i);\\r\\n } \\r\\n TreeManager.evolvedMethodParameters = evolvedMethodParameters;\\r\\n \\r\\n ArrayList methodSet = new ArrayList();\\r\\n methodSet.add(ADD);\\r\\n methodSet.add(SUB);\\r\\n methodSet.add(MUL);\\r\\n methodSet.add(DIV);\\r\\n methodSet.add(LOG);\\r\\n methodSet.add(SQRT);\\r\\n methodSet.add(POW);\\r\\n methodSet.add(MOD);\\r\\n //methodSet.add(SIN);\\r\\n //methodSet.add(COS);\\r\\n methodSet.add(EXP);\\r\\n\\r\\n\\r\\n Random r = new Random();\\r\\n ArrayList terminalSet = new ArrayList();\\r\\n// for (int i = 0; i < terminals; i++)\\r\\n// {\\r\\n// double rc = r.nextDouble();\\r\\n// terminalSet.add(new Constant(new Double(rc * 100.0D), Double.TYPE)); //Building in a function representing random numbers minimum and maximum, consider avearge\\r\\n// }\\r\\n// \\r\\n// //Add in numbers between 0 and 2 in blocks of 0.05 for the purpose of weights\\r\\n// \\r\\n// for (int i = 0; i < weights; i++)\\r\\n// {\\r\\n// double rc = (1 + i) * 0.05;\\r\\n// terminalSet.add(new Constant(new Double(rc), Double.TYPE));\\r\\n// }\\r\\n \\r\\n //terminalSet.add(new Constant(new Double(0.0D), Double.TYPE));\\r\\n //terminalSet.add(new Constant(new Double(3.141592653589793D), Double.TYPE));\\r\\n \\r\\n //For old data\\r\\n //Dynamically adds the number of parameters to be estimated, need to refer to data to input correct values\\r\\n //for (int i = 0; i < totalT; i++) {\\r\\n // terminalSet.add(new Parameter(i, Double.TYPE, Boolean.valueOf(true), \\\"Rain_t-\\\"+(i+1)));\\r\\n //}\\r\\n //for (int i = 0; i < totalY; i++) {\\r\\n // terminalSet.add(new Parameter(i+totalT, Double.TYPE, Boolean.valueOf(true), \\\"Year_t-\\\"+(i+1)));\\r\\n //}\\r\\n \\r\\n //For new data have headers read in and name accordingly.\\r\\n \\r\\n for (int i = 0; i < totalNumParams-1; i++) {\\r\\n terminalSet.add(new Parameter(i, Double.TYPE, Boolean.valueOf(true), header[parameterIndex.get(i)]));\\r\\n }\\r\\n \\r\\n \\r\\n //consider 3 ERC's one big range, 2 smaller ranges between -1 and 1\\r\\n terminalSet.add(new Constant(\\\"ERC\\\", Double.TYPE));\\r\\n terminalSet.add(new Constant(\\\"ERC2\\\", Double.TYPE));\\r\\n terminalSet.add(new Constant(\\\"ERC3\\\", Double.TYPE));\\r\\n \\r\\n double primProb = 0.6D;\\r\\n double terminalNodeCrossBias = 0.1D;\\r\\n TreeManager tm = new TreeManager(methodSet, terminalSet, primProb, maxInitialDepth, maxDepth, terminalNodeCrossBias);\\r\\n \\r\\n\\r\\n\\r\\n\\r\\n System.out.println(\\\"============= Experimental parameters =============\\\");\\r\\n System.out.println(\\\"Maximum initial depth: \\\" + maxInitialDepth);\\r\\n System.out.println(\\\"Maximum depth: \\\" + maxDepth);\\r\\n System.out.println(\\\"Primitive probability in Grow method: \\\" + primProb);\\r\\n System.out.println(\\\"Terminal node crossover bias: \\\" + terminalNodeCrossBias);\\r\\n System.out.println(\\\"No of generations: \\\" + nGens);\\r\\n System.out.println(\\\"Population size: \\\" + popSize);\\r\\n System.out.println(\\\"Tournament size: \\\" + tournamentSize);\\r\\n System.out.println(\\\"Crossover probability: \\\" + xoverProb);\\r\\n System.out.println(\\\"Reproduction probability: \\\" + (1.0D - xoverProb));\\r\\n System.out.println(\\\"Mutation probalitity: \\\" + mutProb);\\r\\n System.out.println(\\\"Elitism percentage: \\\" + elitismPercentage);\\r\\n System.out.println(\\\"===================================================\\\");\\r\\n \\r\\n \\r\\n \\r\\n \\r\\n \\r\\n StatisticalSummary.logExperimentSetup(methodSet, terminalSet, maxInitialDepth, maxDepth, primProb, terminalNodeCrossBias, nGens, popSize, tournamentSize, mutProb, xoverProb); \\r\\n \\r\\n StatisticalSummary stat = null;\\r\\n filenameS = \\\"Results/Results_\\\"+yrs+\\\"_\\\"+spreadYrs+\\\"_MA\\\"+movingAverage+\\\"_\\\"+contractLength;\\r\\n for (int i = 0; i < nRuns; i++)\\r\\n {\\r\\n System.out.println(\\\"========================== Experiment \\\" + i + \\\" ==================================\\\");\\r\\n File experiment = new File(filenameS + \\\"/Experiment \\\"+i);\\r\\n experiment.mkdirs();\\r\\n stat = new StatisticalSummary(nGens, popSize, i);\\r\\n alg = new GA(tm, eval, popSize, tournamentSize, stat, mutProb, elitismPercentage, xoverProb, nRuns);\\r\\n alg.evolve(nGens, i);\\r\\n System.out.println(\\\"===============================================================================\\\");\\r\\n }\\r\\n}\",\n \"public double[] runOptimizer() {\\n List<Integer> sents = new ArrayList<Integer>();\\n for(int i=0; i<sentNum; i++)\\n sents.add(i);\\n \\n if(needShuffle)\\n Collections.shuffle(sents);\\n \\n double oraMetric, oraScore, predMetric, predScore;\\n double[] oraPredScore = new double[4];\\n double eta = 1.0; //learning rate, will not be changed if run percep\\n double avgEta = 0; //average eta, just for analysis\\n double loss = 0;\\n double featNorm = 0;\\n double featDiffVal;\\n double sumMetricScore = 0;\\n double sumModelScore = 0;\\n String oraFeat = \\\"\\\";\\n String predFeat = \\\"\\\";\\n String[] oraPredFeat = new String[2];\\n String[] vecOraFeat;\\n String[] vecPredFeat;\\n String[] featInfo;\\n boolean first = true;\\n //int processedSent = 0;\\n Iterator it;\\n Integer diffFeatId;\\n double[] avgLambda = new double[initialLambda.length]; //only needed if averaging is required\\n for(int i=0; i<initialLambda.length; i++)\\n avgLambda[i] = 0.0;\\n\\n //update weights\\n for(Integer s : sents) {\\n //find out oracle and prediction\\n if(first)\\n findOraPred(s, oraPredScore, oraPredFeat, initialLambda, featScale);\\n else\\n findOraPred(s, oraPredScore, oraPredFeat, finalLambda, featScale);\\n \\n //the model scores here are already scaled in findOraPred\\n oraMetric = oraPredScore[0];\\n oraScore = oraPredScore[1];\\n predMetric = oraPredScore[2];\\n predScore = oraPredScore[3];\\n oraFeat = oraPredFeat[0];\\n predFeat = oraPredFeat[1];\\n \\n //update the scale\\n if(needScale) { //otherwise featscale remains 1.0\\n sumMetricScore += java.lang.Math.abs(oraMetric+predMetric);\\n sumModelScore += java.lang.Math.abs(oraScore+predScore)/featScale; //restore the original model score\\n \\n if(sumModelScore/sumMetricScore > 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<Integer, Double> allOraFeat = new HashMap<Integer, Double>();\\n HashMap<Integer, Double> allPredFeat = new HashMap<Integer, Double>();\\n HashMap<Integer, Double> featDiff = new HashMap<Integer, Double>();\\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<Double> 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<Integer> 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<avgLambda.length; i++)\\n avgLambda[i] += finalLambda[i];\\n }\\n }\\n \\n if(needAvg) {\\n for(int i=0; i<finalLambda.length; i++)\\n finalLambda[i] = avgLambda[i]/sentNum;\\n }\\n \\n avgEta /= sentNum;\\n System.out.println(\\\"Average learning rate: \\\"+avgEta);\\n\\n // the intitialLambda & finalLambda are all trainable parameters\\n //if (!trainMode.equals(\\\"3\\\")) // for mode 3, no need to normalize sparse\\n // feature weights\\n //normalizeLambda(finalLambda);\\n //else\\n //normalizeLambda_mode3(finalLambda);\\n\\n /*\\n * for( int i=0; i<finalLambda.length; i++ ) System.out.print(finalLambda[i]+\\\" \\\");\\n * System.out.println(); System.exit(0);\\n */ \\n\\n double initMetricScore = computeCorpusMetricScore(initialLambda); // compute the initial corpus-level metric score\\n double finalMetricScore = computeCorpusMetricScore(finalLambda); // compute final corpus-level metric score // the\\n\\n // prepare the printing info\\n int numParamToPrint = 0;\\n String result = \\\"\\\";\\n\\n if (trainMode.equals(\\\"1\\\") || trainMode.equals(\\\"4\\\")) {\\n numParamToPrint = paramDim > 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 }\",\n \"public void driver() {\\r\\n \\t// At the last time point assume exponentials are largely decayed and most of what is\\r\\n \\t// left is the constant a[0] term.\\r\\n gues[0] = ySeries[ySeries.length-1];\\r\\n for (int i = 0; i < (a.length-1)/2; i++) {\\r\\n \\tgues[2*i+1] = 1.0;\\r\\n \\tgues[2*i+2] = -1.0;\\r\\n }\\r\\n super.driver();\\r\\n }\",\n \"private static native void rollingGuidanceFilter_0(long src_nativeObj, long dst_nativeObj, int d, double sigmaColor, double sigmaSpace, int numOfIter, int borderType);\",\n \"public void m1254a(eb[] ebVarArr) {\\n Object obj = this.f777b;\\n if (obj == null) {\\n this.f777b = ebVarArr;\\n } else if (ebVarArr != null && ebVarArr.length > 0) {\\n Object obj2 = new eb[(obj.length + ebVarArr.length)];\\n System.arraycopy(obj, 0, obj2, 0, obj.length);\\n System.arraycopy(ebVarArr, 0, obj2, obj.length, ebVarArr.length);\\n this.f777b = obj2;\\n }\\n }\",\n \"public double getVariance(){\\n\\t\\tdouble a = location + scale * scale;\\n\\t\\treturn Math.exp(2 * a) - Math.exp(location + a);\\n\\t}\",\n \"public void lagSkudd2() {\\n\\t}\",\n \"float[] feedForward(float... inputs);\",\n \"public abstract void recalcNormalizationExtrema();\",\n \"public String getForecastType()\\n {\\n return \\\"double exponential smoothing\\\";\\n }\",\n \"public static void main(String args[]) {\\n\\n\\tint nx = 200;\\n int ny = 300;\\n\\n\\tColorSurfaceData data = new SmoothData3D(nx,ny);\\n\\n double minX = -2;\\n double minY = -3;\\n double maxX = 2;\\n double maxY = 3; \\n\\tdouble stepX = (maxX - minX)/(nx-1);\\n double stepY = (maxY - minY)/(ny-1); \\n\\n\\tdata.setMinMaxX(minX,maxX);\\n\\tdata.setMinMaxY(minY,maxY);\\n\\n\\tdouble x,y,v;\\n\\n\\tfor(int i = 0; i < nx; i++){\\n\\tfor(int j = 0; j < ny; j++){\\n\\t x = minX + i*stepX;\\n\\t y = minY + j*stepY;\\n v = Math.exp(-(x*x+y*y));\\n data.setValue(i,j,v);\\n //data.addValue(x,y,v);\\n\\t}}\\n\\n\\tdouble max_dev = 0;\\n\\tint i_max = 0, j_max = 0;\\n\\n\\tfor(int i = 6; i < nx-6; i++){\\n\\tfor(int j = 6; j < ny-6; j++){\\n\\t x = i*stepX + minX + 0.5*stepX;\\n\\t y = j*stepY + minY + 0.5*stepY;\\n v = Math.abs(Math.exp(-(x*x+y*y)) - data.getValue(x,y))/Math.exp(-(x*x+y*y));\\n if(max_dev < v) {\\n max_dev = v;\\n\\t i_max = i;\\n\\t j_max = j;\\n\\t }\\n\\t}} \\n\\n\\tSystem.out.println(\\\"max dev [%] = \\\"+max_dev*100);\\n\\n\\tdouble v_calc = 0;\\n\\tx = i_max*stepX + minX + 0.5*stepX;\\n\\ty = j_max*stepY + minY + 0.5*stepY; \\n\\tv = Math.exp(-(x*x+y*y));\\n\\tv_calc = data.getValue(x,y);\\n \\tSystem.out.println(\\\"stepX = \\\"+stepX);\\n \\tSystem.out.println(\\\"stepY = \\\"+stepY);\\n \\tSystem.out.println(\\\"i_max = \\\"+i_max);\\n \\tSystem.out.println(\\\"j_max = \\\"+j_max);\\n \\tSystem.out.println(\\\"x = \\\"+x);\\n \\tSystem.out.println(\\\"y = \\\"+y);\\n \\tSystem.out.println(\\\"v = \\\"+v);\\n \\tSystem.out.println(\\\"v_calc = \\\"+v_calc); \\n\\n }\",\n \"public void setBeta(double aBeta);\",\n \"public Adamax(Graph graph, float learningRate, float betaOne, float betaTwo, float epsilon) {\\n super(graph);\\n this.learningRate = learningRate;\\n this.betaOne = betaOne;\\n this.betaTwo = betaTwo;\\n this.epsilon = epsilon;\\n }\",\n \"private static final void silk_PLC_energy(/*final int[] energy1, final int[] shift1, final int[] energy2, final int[] shift2,*/\\r\\n\\t\\t\\tfinal Jenergy_struct_aux aux,// java\\r\\n\\t\\t\\tfinal int[] exc_Q14, final int[] prevGain_Q10, final int subfr_length, final int nb_subfr)\\r\\n\\t{\\r\\n\\t\\t// SAVE_STACK;\\r\\n\\t\\tfinal short[] exc_buf = new short[subfr_length << 1];\\r\\n\\t\\t/* Find random noise component */\\r\\n\\t\\t/* Scale previous excitation signal */\\r\\n\\t\\tint exc_buf_ptr = 0;// exc_buf[ exc_buf_ptr ]\\r\\n\\t\\tfor( int k = 0; k < 2; k++ ) {\\r\\n\\t\\t\\tfor( int i = 0; i < subfr_length; i++ ) {\\r\\n\\t\\t\\t\\tfinal int v = ((int)(((long)exc_Q14[ i + ( k + nb_subfr - 2 ) * subfr_length ] * prevGain_Q10[ k ]) >> 16)) << 8;// java\\r\\n\\t\\t\\t\\texc_buf[ exc_buf_ptr + i ] = (short)(v > Short.MAX_VALUE ? Short.MAX_VALUE : (v < Short.MIN_VALUE ? Short.MIN_VALUE : v));\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\texc_buf_ptr += subfr_length;\\r\\n\\t\\t}\\r\\n\\t\\t/* Find the subframe with lowest energy of the last two and use that as random noise generator */\\r\\n\\t\\tfinal long energy_shift1 = silk_sum_sqr_shift( /*energy1, shift1,*/ exc_buf, 0, subfr_length );\\r\\n\\t\\tfinal long energy_shift2 = silk_sum_sqr_shift( /*energy2, shift2,*/ exc_buf, subfr_length, subfr_length );\\r\\n\\t\\t// RESTORE_STACK;\\r\\n\\t\\taux.energy1 = (int)(energy_shift1 >>> 32);\\r\\n\\t\\taux.shift1 = (int)energy_shift1;\\r\\n\\t\\taux.energy2 = (int)(energy_shift2 >>> 32);\\r\\n\\t\\taux.shift2 = (int)energy_shift2;\\r\\n\\t}\",\n \"public void setNewAlpha(){\\n\\n\\t\\tretrieveAlpha();\\n\\t\\tretrieveReducerOutput();\\n\\t\\t\\n\\t\\tdouble[] alphaVectorUpdate = new double[K];\\n\\t\\tdouble[] alphaGradientVector = new double[K];\\n\\t\\tdouble[] alphaHessianVector = new double[K];\\n\\n\\t\\tdouble[] alphaVector = oldAlpha.clone();\\n\\t\\tdouble[] alphaSufficientStatistics = rDelta;\\n\\n\\t\\tint alphaUpdateIterationCount = 0;\\n\\n\\t\\t// update the alpha vector until converge\\n\\t\\tboolean keepGoing = true;\\n\\t\\ttry {\\n\\t\\t\\tint decay = 0;\\n\\n\\t\\t\\tdouble alphaSum = 0;\\n\\t\\t\\tfor (int j = 0; j < K; j++) {\\n\\t\\t\\t\\talphaSum += alphaVector[j];\\n\\t\\t\\t}\\n\\n\\t\\t\\twhile (keepGoing) {\\n\\t\\t\\t\\tdouble sumG_H = 0;\\n\\t\\t\\t\\tdouble sum1_H = 0;\\n\\n\\t\\t\\t\\tfor (int i = 0; i < K; i++) {\\n\\t\\t\\t\\t\\t// compute alphaGradient\\n\\t\\t\\t\\t\\talphaGradientVector[i] = D\\n\\t\\t\\t\\t\\t\\t\\t* (Gamma.digamma(alphaSum) - Gamma.digamma(alphaVector[i]))\\n\\t\\t\\t\\t\\t\\t\\t+ alphaSufficientStatistics[i];\\n\\n\\t\\t\\t\\t\\t// compute alphaHessian\\n\\t\\t\\t\\t\\talphaHessianVector[i] = -D * Gamma.trigamma(alphaVector[i]);\\n\\n\\t\\t\\t\\t\\tif (alphaGradientVector[i] == Double.POSITIVE_INFINITY\\n\\t\\t\\t\\t\\t\\t\\t|| alphaGradientVector[i] == Double.NEGATIVE_INFINITY) {\\n\\t\\t\\t\\t\\t\\tthrow new ArithmeticException(\\\"Invalid ALPHA gradient matrix...\\\");\\n\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\tsumG_H += alphaGradientVector[i] / alphaHessianVector[i];\\n\\t\\t\\t\\t\\tsum1_H += 1 / alphaHessianVector[i];\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tdouble z = D * Gamma.trigamma(alphaSum);\\n\\t\\t\\t\\tdouble c = sumG_H / (1 / z + sum1_H);\\n\\n\\t\\t\\t\\twhile (true) {\\n\\t\\t\\t\\t\\tboolean singularHessian = false;\\n\\n\\t\\t\\t\\t\\tfor (int i = 0; i < K; i++) {\\n\\t\\t\\t\\t\\t\\tdouble stepSize = Math.pow(Parameters.DEFAULT_ALPHA_UPDATE_DECAY_FACTOR, decay)\\n\\t\\t\\t\\t\\t\\t\\t\\t* (alphaGradientVector[i] - c) / alphaHessianVector[i];\\n\\t\\t\\t\\t\\t\\tif (alphaVector[i] <= stepSize) {\\n\\t\\t\\t\\t\\t\\t\\t// the current hessian matrix is singular\\n\\t\\t\\t\\t\\t\\t\\tsingularHessian = true;\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\talphaVectorUpdate[i] = alphaVector[i] - stepSize;\\n\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\tif (singularHessian) {\\n\\t\\t\\t\\t\\t\\t// we need to further reduce the step size\\n\\t\\t\\t\\t\\t\\tdecay++;\\n\\n\\t\\t\\t\\t\\t\\t// recover the old alpha vector\\n\\t\\t\\t\\t\\t\\talphaVectorUpdate = alphaVector;\\n\\t\\t\\t\\t\\t\\tif (decay > Parameters.DEFAULT_ALPHA_UPDATE_MAXIMUM_DECAY) {\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\t// we have successfully update the alpha vector\\n\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// compute the alpha sum and check for alpha converge\\n\\t\\t\\t\\talphaSum = 0;\\n\\t\\t\\t\\tkeepGoing = false;\\n\\t\\t\\t\\tfor (int j = 0; j < K; j++) {\\n\\t\\t\\t\\t\\talphaSum += alphaVectorUpdate[j];\\n\\t\\t\\t\\t\\tif (Math.abs((alphaVectorUpdate[j] - alphaVector[j]) / alphaVector[j]) >= Parameters.DEFAULT_ALPHA_UPDATE_CONVERGE_THRESHOLD) {\\n\\t\\t\\t\\t\\t\\tkeepGoing = true;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tif (alphaUpdateIterationCount >= Parameters.DEFAULT_ALPHA_UPDATE_MAXIMUM_ITERATION) {\\n\\t\\t\\t\\t\\tkeepGoing = false;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tif (decay > Parameters.DEFAULT_ALPHA_UPDATE_MAXIMUM_DECAY) {\\n\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talphaUpdateIterationCount++;\\n\\t\\t\\t\\talphaVector = alphaVectorUpdate;\\n\\t\\t\\t}\\n\\t\\t} catch (IllegalArgumentException iae) {\\n\\t\\t\\tSystem.err.println(iae.getMessage());\\n\\t\\t\\tiae.printStackTrace();\\n\\t\\t} catch (ArithmeticException ae) {\\n\\t\\t\\tSystem.err.println(ae.getMessage());\\n\\t\\t\\tae.printStackTrace();\\n\\t\\t}\\n\\n\\t\\tnewAlpha = alphaVector;\\n\\n\\n\\t}\",\n \"public Bitmap rgbAverageContrastAugmentationRS(Bitmap bmp) {\\n\\n\\n\\n RenderScript rs = RenderScript.create(getContext()); //Create base renderscript\\n\\n Allocation input = Allocation.createFromBitmap(rs, bmp); //Bitmap input\\n Allocation output = Allocation.createTyped(rs, input.getType(), Allocation.USAGE_SCRIPT ); //Bitmap output\\n\\n ScriptC_histogram histoScript = new ScriptC_histogram(rs);\\n\\n histoScript.set_RGB(true);\\n\\n histoScript.set_size(bmp.getWidth() * bmp.getHeight());\\n\\n short[] LUTrgb;\\n\\n LUTrgb = histoScript.reduce_LUTCumulatedHistogram(input).get(); //Get result\\n\\n histoScript.destroy();\\n\\n ScriptC_computeLut lut = new ScriptC_computeLut(rs);\\n\\n lut.set_lutSingle(LUTrgb);\\n\\n lut.forEach_assignLutRGBAverage(input,output);\\n\\n\\n //Keep only one chann\\n output.copyTo(bmp);\\n input.destroy();\\n output.destroy();\\n lut.destroy();\\n rs.destroy();\\n\\n\\n\\n\\n\\n\\n return bmp;\\n }\",\n \"public ExpAverageDemo() {\\r\\n super();\\r\\n animateButton.addItemListener(this);\\r\\n weightSlider.addChangeListener(this);\\r\\n }\",\n \"private static double gser(double a, double x) {\\r\\n double gamser = 0.0;\\r\\n int n;\\r\\n double sum, del, ap;\\r\\n double gln = gammln(a);\\r\\n \\r\\n if(x <= 0.0) {\\r\\n if(x < 0.0){\\r\\n // nerror(\\\"x less than zero in series expansion gamma function\\\");\\r\\n }\\r\\n return gamser = 0.0;\\r\\n } else {\\r\\n ap = a;\\r\\n del = sum = 1.0/a;\\r\\n for(n = 1; n <= ITMAX; n++) {\\r\\n ++ap;\\r\\n del *= x/ap;\\r\\n sum += del;\\r\\n if(Math.abs(del) < (Math.abs(sum)*EPS)) {\\r\\n return gamser = sum*Math.exp(-x + (a*Math.log(x)) - (gln));\\r\\n }\\r\\n }\\r\\n // nerror(\\\"a is too large, ITMAX is too small, in series expansion gamma function\\\");\\r\\n return 0.0;\\r\\n }\\r\\n }\",\n \"public void setVega(double value) {\\r\\n this.vega = value;\\r\\n }\",\n \"double getGamma();\",\n \"public Adamax(\\n Graph graph, String name, float learningRate, float betaOne, float betaTwo, float epsilon) {\\n super(graph, name);\\n this.learningRate = learningRate;\\n this.betaOne = betaOne;\\n this.betaTwo = betaTwo;\\n this.epsilon = epsilon;\\n }\",\n \"public double[] getConfigNrmse(double[] variance)\\r\\n\\t{\\r\\n\\t\\tint i;\\r\\n\\t\\tdouble[] avg_error; \\r\\n\\t\\t\\r\\n\\t\\tavg_error = new double[_esn.getNumOutputNeurons()];\\r\\n\\t\\tif(_best_idx!=-1)\\r\\n\\t\\t{\\r\\n\\t\\t\\tfor(i=0; i<avg_error.length; i++)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tavg_error[i] = _pool_of_bests.get(_best_idx)._error_config.computeNrmse(variance);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\telse\\r\\n\\t\\t{\\r\\n\\t\\t\\tfor(i=0; i<avg_error.length; i++)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tavg_error[i] = Double.MAX_VALUE;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\treturn avg_error;\\r\\n\\t}\",\n \"private static native long createAMFilter_0(double sigma_s, double sigma_r, boolean adjust_outliers);\",\n \"public void param_value_max_SET(float src)\\n { set_bytes(Float.floatToIntBits(src) & -1L, 4, data, 17); }\",\n \"public void mo31899a(C7300a aVar) {\\n this.dBv = aVar;\\n }\",\n \"@Generated\\n @Selector(\\\"smoothness\\\")\\n @NFloat\\n public native double smoothness();\",\n \"public Expression getGammaValue();\",\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 }\",\n \"private void vignetteEffect(int barra) {\\n float val = barra / 200f;\\n Log.i(\\\"kike\\\", \\\"valor efecte: \\\" + val + \\\" barra: \\\" + barra);\\n EffectFactory factory = effectContext.getFactory();\\n effect = factory.createEffect(EffectFactory.EFFECT_VIGNETTE);\\n effect.setParameter(\\\"scale\\\", val);\\n effect.apply(textures[0], photoWidth, photoHeight, textures[1]);\\n }\",\n \"@Override\\n\\tvoid bp_adam(double learning_rate, int epoch_num) {\\n\\t\\t\\n\\t}\",\n \"public void unaverage() {\\n\\t\\tif (!averaged)\\n\\t\\t\\tthrow new AssertionError(\\\"can't unaverage twice!!\\\");\\n\\t\\t\\n\\t\\tfor (int i = 0; i < w.length; i++)\\n\\t\\t\\tw[i] = (w[i] + wupdates[i])/(t+1.0);\\n\\t\\t\\n\\t\\tscale = 1.0;\\n\\t\\taveraged = false;\\n\\t}\",\n \"private static C13816g m42347a(C13816g[] gVarArr, C13816g[] gVarArr2, byte[] bArr, C13816g[] gVarArr3, C13816g[] gVarArr4, byte[] bArr2) {\\n C13816g gVar;\\n int max = Math.max(bArr.length, bArr2.length);\\n C13816g k = gVarArr[0].mo35148f().mo35091k();\\n int i = max - 1;\\n C13816g gVar2 = k;\\n int i2 = 0;\\n while (i >= 0) {\\n byte b = i < bArr.length ? bArr[i] : 0;\\n byte b2 = i < bArr2.length ? bArr2[i] : 0;\\n if ((b | b2) == 0) {\\n i2++;\\n } else {\\n if (b != 0) {\\n gVar = k.mo35134a((b < 0 ? gVarArr2 : gVarArr)[Math.abs(b) >>> 1]);\\n } else {\\n gVar = k;\\n }\\n if (b2 != 0) {\\n gVar = gVar.mo35134a((b2 < 0 ? gVarArr4 : gVarArr3)[Math.abs(b2) >>> 1]);\\n }\\n if (i2 > 0) {\\n gVar2 = gVar2.mo35138b(i2);\\n i2 = 0;\\n }\\n gVar2 = gVar2.mo35145d(gVar);\\n }\\n i--;\\n }\\n return i2 > 0 ? gVar2.mo35138b(i2) : gVar2;\\n }\",\n \"public static void main(String[] args) throws java.lang.Exception {\\n double []averageTime = new double[3]; //double array to get average time\\n MaxFlow m = new MaxFlow();\\n Stopwatch stopwatch = new Stopwatch();\\n\\n getDataset();\\n try{\\n System.out.println(\\\"\\\\n\\\"+\\\"The maximum possible flow is \\\" + m.fordFulkerson(graph.getAddMatrix(), 0, graph.getNumOfNode()-1));\\n for(int i =1; i<=3;i++){\\n System.out.println(\\\"Time \\\"+i+\\\" : \\\"+stopwatch.elapsedTime());\\n averageTime[i-1]= stopwatch.elapsedTime();\\n }\\n\\n\\n double a = averageTime[0]; //calculate the average time\\n double b = averageTime[1];\\n double c = averageTime[2];\\n double average = (a+b+c)/3;\\n System.out.println(\\\"\\\\nAverage Time: \\\"+average);\\n\\n graph.printArray();\\n\\n }catch (NullPointerException e){\\n System.out.println(\\\"\\\");\\n }\\n }\",\n \"public void average() {\\n\\t\\tif (averaged)\\n\\t\\t\\tthrow new AssertionError(\\\"can't average twice!!\\\");\\n\\t\\t\\n\\t\\tscale = 1.0/(double)t;\\n\\t\\t\\n\\t\\tfor (int i = 0; i < w.length; i++)\\n\\t\\t\\tw[i] = (t+1.0)*w[i] - wupdates[i];\\n\\t\\t\\n\\t\\taveraged = true;\\n\\t\\n\\t}\",\n \"float xMax();\",\n \"static final float interp_energy(final float prev_e, final float next_e)\\n\\t{\\n\\t\\treturn (float)Math.pow( 10.0, (Math.log10( prev_e ) + Math.log10( next_e )) / 2.0 );\\n\\t}\",\n \"public AverageEdgeWeight() {\\n super(\\\"avrgEdgeWeight\\\");\\n }\",\n \"private double kToEv(double value) {\\n\\t\\treturn Converter.convertWaveVectorToEnergy(value, edgeEnergy);\\n\\t}\",\n \"public void mo10177a(C1838m<Range> mVar) throws Exception {\\n ScaleRotateViewState a = C6028f.this.m17075a(z2, str3, scaleRotateViewState2);\\n if (a == null) {\\n mVar.mo9791K(null);\\n return;\\n }\\n if (!TextUtils.isEmpty(str4)) {\\n a.setFontPath(str4);\\n }\\n if (C8450a.m24466bk(C8762d.aMt().getTemplateID(str3))) {\\n a.setAnimOn(true);\\n } else {\\n a.setAnimOn(AppPreferencesSetting.getInstance().getAppSettingBoolean(\\\"key_pref_anim_style_open\\\", true));\\n }\\n C6028f.this.mo28736g(a);\\n C6028f.this.cGS = C6028f.this.adZ();\\n if (!(C6028f.this.cGT == null || C6028f.this.cGT.aIc() == null)) {\\n C6028f.this.cGS = C6028f.this.cGT.aIc().getmPosition();\\n }\\n Range range = new Range(C6028f.this.cGS, C6028f.this.mo28477cu(C6028f.this.cGS, a.mMinDuration));\\n if (C6028f.this.mo28454a(C6028f.this.mo28455a(a, range)) == null) {\\n mVar.mo9791K(null);\\n return;\\n }\\n C6028f.this.mo28724a(a, str3, range.getmPosition(), range.getmTimeLength());\\n mVar.mo9791K(range);\\n }\",\n \"public void backprop(double[] inputs, FeedForwardNeuralNetwork net, boolean verbose)\\n {\\n //create variables that will be used later\\n int[] sizes = net.getSizes();\\n int biggestSize = 0;\\n for(int k = 0; k < sizes.length; k++)\\n {\\n if(sizes[k] > biggestSize)\\n {\\n biggestSize = sizes[k];\\n }\\n }\\n int hiddenLayers = sizes.length - 2;\\n //if input or output wrong size, return\\n if(inputs.length != sizes[0])\\n {\\n System.out.println(\\\"Invalid number of inputs\\\");\\n return;\\n }\\n\\n double[][] allOutputs = new double[sizes.length][biggestSize];\\n double[][] allErrors = new double[sizes.length][biggestSize];\\n\\n //fill out first layer to temp output\\n int lastLayer = sizes[0];\\n for(int k = 0; k < lastLayer; k++)\\n {\\n allOutputs[0][k] = inputs[k];\\n }\\n\\n //for each layer after the input\\n for(int k = 1; k < hiddenLayers + 2; k++)\\n {\\n //for each node in that layer\\n for(int a = 0; a < sizes[k]; a++)\\n {\\n //get sum and get activation function result and its derivative\\n double sum = 0;\\n for(int t = 0; t < lastLayer; t++)\\n {\\n sum += allOutputs[k - 1][t] * net.getWeight(k - 1, t, k, a);\\n }\\n sum += net.getBiasNum() * net.getWeight(-1, 0, k, a);\\n if(k != hiddenLayers + 1)\\n {\\n allOutputs[k][a] = net.applyActivationFunction(sum, net.getHiddenActivationFunction());\\n allErrors[k][a] = net.applyActivationFunctionDerivative(sum, net.getHiddenActivationFunction());\\n }\\n else\\n {\\n allOutputs[k][a] = net.applyActivationFunction(sum, net.getOutputActivationFunction());\\n allErrors[k][a] = net.applyActivationFunctionDerivative(sum, net.getOutputActivationFunction());\\n }\\n }\\n lastLayer = sizes[k];\\n }\\n\\n if(verbose)\\n {\\n System.out.println(\\\"Outputs\\\");\\n for(int k = 0; k < maxClusters; k++)\\n {\\n System.out.print(allOutputs[hiddenLayers + 1][k] + \\\", \\\");\\n }\\n System.out.println();\\n }\\n double[] expectedOutputs = new double[maxClusters];\\n int cluster = 0;\\n double max = 0;\\n for(int k = 0; k < maxClusters; k++)\\n {\\n expectedOutputs[k] = allOutputs[hiddenLayers + 1][k];\\n if(allOutputs[hiddenLayers + 1][k] > max)\\n {\\n cluster = k;\\n max = allOutputs[hiddenLayers + 1][k];\\n }\\n }\\n if(verbose)\\n {\\n System.out.println(\\\"Output \\\" + cluster + \\\" will be set to max value\\\");\\n System.out.println();\\n }\\n\\n expectedOutputs[cluster] = 4;\\n\\n\\n //go backward from output to first hidden layer\\n for(int k = hiddenLayers + 1; k > 0; k--)\\n {\\n //for each node in that layer\\n for(int a = 0; a < sizes[k]; a++)\\n {\\n //compute error for not output layer\\n if(k != hiddenLayers + 1)\\n {\\n double temp = allErrors[k][a];\\n allErrors[k][a] = 0;\\n for(int t = 0; t < sizes[k + 1]; t++)\\n {\\n allErrors[k][a] += net.getWeight(k, t, k + 1, a) * allErrors[k + 1][t];\\n }\\n allErrors[k][a] *= temp;\\n }\\n //compute error for output layer\\n else\\n {\\n allErrors[k][a] *= (expectedOutputs[a] - allOutputs[k][a]);\\n }\\n\\n //for each weight node takes as input\\n for(int t = 0; t < sizes[k - 1]; t++)\\n {\\n //find the delta for the weight and apply\\n int index = net.getIndex(k - 1, t, k, a);\\n double delta = learningRate * allOutputs[k - 1][t] * allErrors[k][a]\\n + momentum * lastDeltas[index];\\n\\n net.setWeight(k - 1, t, k, a, net.getWeight(k - 1, t, k, a) + delta);\\n lastDeltas[index] = delta;\\n }\\n }\\n }\\n }\",\n \"double agression();\",\n \"public void mo35219b(C13816g[] gVarArr) {\\n this.f30693b = gVarArr;\\n }\",\n \"public void setDamping(double decay){damping = Math.exp(-decay);}\",\n \"@Test\\n public void testPrediction1() throws Exception {\\n\\n final CalUtils.InstantGenerator instantGenerator =\\n new LocalTimeMinutes(5);\\n \\n final double coreDailyVols[][] = new double[][] {\\n new double[] {55219 , 262256 , 202661 , 218359 , 178244 , 99610 , 92348 , 124795 , 214370 , 153854 , 204116 , 173501 , 85390 , 156835 , 108070 , 23755 , 118573 , 70117 , 55768 , 52643 , 71485 , 407645 , 442909 , 129109 , 188896 , 79590 , 422121 , 290067 , 227955 , 69257 , 41634 , 446002 , 579188 , 86237 , 1606794 , 83676 , 166393 , 84987 , 875905 , 117013 , 399084 , 116190 , 149507 , 207221 , 60857 , 155612 , 448006 , 198637 , 67695 , 65423 , 180038 , 88774 , 80273 , 86065 , 85231 , 38867 , 29330 , 116353 , 26887 , 34170 , 102518 , 72246 , 21274 , 70752 , 37912 , 49367 , 100472 , 49461 , 41735 , 45795 , 36578 , 311945 , 249039 , 70487 , 121906 , 136424 , 195136 , 166308 , 331734 , 343180 , 419616 , 104613 , 1354058 , 162678 , 141067 , 147039 , 149115 , 271162 , 543989 , 184421 , 340679 , 201939 , 293860 , 171035 , 263964 , 260198 , 428087 , 565126 , 385874 , 547890 , 384416 , 256696 , 0 , 4738359},\\n new double[] {1298630 , 678084 , 488607 , 224766 , 434263 , 356933 , 576571 , 219236 , 252805 , 414776 , 166828 , 174665 , 146281 , 110944 , 145234 , 179739 , 253111 , 175685 , 64925 , 216682 , 494507 , 100205 , 67371 , 101019 , 158026 , 316281 , 334067 , 954850 , 115547 , 163051 , 130303 , 107600 , 1407996 , 90357 , 110452 , 451866 , 238004 , 3096215 , 2672803 , 190170 , 111282 , 107135 , 453389 , 60821 , 98292 , 1310864 , 1132267 , 241907 , 89915 , 175676 , 61621 , 521553 , 212388 , 288651 , 193578 , 272161 , 256777 , 236382 , 802159 , 230248 , 387068 , 160647 , 106999 , 391933 , 465080 , 374577 , 340378 , 330708 , 416320 , 200347 , 251986 , 336664 , 311970 , 600559 , 508011 , 922379 , 311581 , 352459 , 508727 , 159316 , 1355635 , 246541 , 389672 , 805957 , 370754 , 382556 , 316971 , 564228 , 437166 , 277733 , 1284505 , 1763095 , 169661 , 280682 , 969102 , 540315 , 451895 , 308036 , 715130 , 642966 , 981563 , 900778 , 0 , 7155528},\\n new double[] {679280 , 229518 , 346536 , 347215 , 316025 , 313890 , 235844 , 199995 , 1920617 , 129356 , 172084 , 207860 , 317578 , 10369008 , 480990 , 1403537 , 1021730 , 156125 , 94833 , 366987 , 145687 , 322957 , 328120 , 66657 , 176001 , 271003 , 133121 , 558624 , 264638 , 638663 , 165080 , 129439 , 5126344 , 5438632 , 248806 , 250616 , 112716 , 54523 , 198097 , 67772 , 1414565 , 244509 , 246205 , 151540 , 98584 , 51217 , 94193 , 111763 , 104726 , 45880 , 64242 , 78893 , 60706 , 48117 , 133085 , 101941 , 5103803 , 5084823 , 168230 , 75537 , 815036 , 73409 , 422412 , 437127 , 115802 , 326536 , 54707 , 81759 , 94420 , 208637 , 50361 , 1458556 , 84257 , 129114 , 54632 , 105873 , 57165 , 77578 , 233302 , 195560 , 134194 , 180928 , 140433 , 123154 , 221422 , 339866 , 1343886 , 114699 , 170052 , 150679 , 181731 , 160943 , 192590 , 125556 , 132656 , 154740 , 320932 , 140929 , 117889 , 381656 , 393635 , 306177 , 0 , 21629250},\\n new double[] {526909 , 167180 , 199570 , 149154 , 142141 , 320881 , 223750 , 102275 , 258400 , 202197 , 120202 , 93404 , 178631 , 106401 , 346186 , 231729 , 163656 , 1622531 , 125689 , 2656587 , 5336032 , 2385985 , 335692 , 86118 , 130551 , 99047 , 81695 , 98846 , 238413 , 4831684 , 293262 , 124652 , 106642 , 112048 , 14284646 , 111209 , 2204635 , 128940 , 83395 , 134816 , 116320 , 65412 , 165020 , 126511 , 92217 , 111751 , 47320 , 82219 , 19044177 , 70827 , 21676 , 211214 , 103108 , 22771 , 61629 , 4816563 , 63806 , 33989 , 130104 , 146897 , 15046441 , 44977 , 40889 , 54584 , 54591 , 76634 , 238536 , 68583 , 110591 , 75012 , 503760 , 209479 , 217929 , 86397 , 102284 , 81878 , 252785 , 135884 , 129149 , 112760 , 266851 , 110863 , 67866 , 55205 , 150165 , 699438 , 184450 , 270270 , 4270036 , 345303 , 895116 , 217142 , 145398 , 301231 , 10260595 , 136317 , 442910 , 371357 , 189023 , 538928 , 438973 , 926728 , 9137 , 8879481},\\n new double[] {1318228 , 1391326 , 574558 , 441739 , 719144 , 522626 , 404351 , 383602 , 490710 , 284952 , 2984474 , 216339 , 10220195 , 247067 , 166223 , 224310 , 10181837 , 126161 , 9764418 , 692337 , 25907353 , 1518741 , 1179929 , 120730 , 10173292 , 290045 , 19824327 , 402527 , 277859 , 3116841 , 7164061 , 332021 , 10560006 , 2334129 , 121753 , 200177 , 246402 , 10106648 , 1137272 , 2084673 , 461849 , 125108 , 465907 , 156972 , 139083 , 127389 , 237263 , 311691 , 156536 , 155322 , 133368 , 329715 , 256088 , 116835 , 5192615 , 823762 , 183836 , 1110239 , 2414836 , 385072 , 599637 , 387285 , 291580 , 2796924 , 12977051 , 338582 , 884415 , 525622 , 322587 , 223348 , 668858 , 143039 , 627590 , 239797 , 232788 , 256503 , 209425 , 375474 , 558106 , 290991 , 1176648 , 286550 , 149539 , 297435 , 602136 , 152733 , 212363 , 178992 , 179644 , 295428 , 933636 , 349405 , 660749 , 226061 , 868852 , 318539 , 469303 , 538061 , 273643 , 444084 , 347730 , 825808 , 12011 , 7792372}};\\n\\n final SimpleDateFormat dateBuilder = new SimpleDateFormat(\\\"yyyy-MM-dd\\\");\\n final Calendar moments[] = new Calendar[] { Calendar.getInstance(), \\n Calendar.getInstance(), Calendar.getInstance(), \\n Calendar.getInstance(), Calendar.getInstance(),\\n Calendar.getInstance() };\\n\\n moments[0].setTime(dateBuilder.parse(\\\"2011-10-26\\\"));\\n moments[1].setTime(dateBuilder.parse(\\\"2011-10-27\\\"));\\n moments[2].setTime(dateBuilder.parse(\\\"2011-10-28\\\"));\\n moments[3].setTime(dateBuilder.parse(\\\"2011-10-30\\\"));\\n moments[4].setTime(dateBuilder.parse(\\\"2011-11-01\\\"));\\n moments[5].setTime(dateBuilder.parse(\\\"2011-11-02\\\"));\\n\\n // Nomralize data to sum 100 (i.e., have an expectance of 100/104)\\n for(int i=0; i<5; i++) {\\n double sum = 0;\\n for(int j=0; j<104; j++) sum += coreDailyVols[i][j];\\n for(int j=0; j<104; j++) {\\n coreDailyVols[i][j] = coreDailyVols[i][j]*100 / sum;\\n }\\n }\\n\\n final double[][] synthesizedDailyVols = new double[\\n coreDailyVols.length][instantGenerator.maxInstantValue()];\\n final Calendar openTime = Calendar.getInstance();\\n final int n = 9*60 / 5;\\n final int m = n + coreDailyVols[0].length;\\n for(int i=0; i<5; i++) {\\n for(int j=0; j<n; j++) {\\n synthesizedDailyVols[i][j] = Double.NaN;\\n }\\n for(int j=0; j<coreDailyVols[i].length; j++) {\\n synthesizedDailyVols[i][j+n] = coreDailyVols[i][j];\\n }\\n for(int j=m; j<instantGenerator.maxInstantValue(); j++) {\\n synthesizedDailyVols[i][j] = Double.NaN;\\n }\\n }\\n\\n\\n final Predictor predictor = new PCAPredictorTransposed(\\n instantGenerator, 5);\\n for(int i=0; i<5; i++) {\\n predictor.learnVector(moments[i], synthesizedDailyVols[i]);\\n }\\n final double prediction[] = predictor.predictVector(moments[5]);\\n final double coreExpectedPrediction[] = new double[] {\\n0.21383323, -0.08665493, -0.28527934, -0.45293966, -0.35525111, -0.49117788,\\n-0.38114565, -0.60141152, -0.09029406, -0.44815719, -0.45152723, -0.58079146,\\n-0.29110153, 1.54262599, -0.59900211, -0.48107804, -0.03280398, -0.59369964,\\n-0.44886852, -0.43868587, 0.88745208, -0.10900099, -0.26251035, -0.71557572,\\n-0.20051598, -0.57674404, 0.53793693, 0.15857465, -0.53212067, -0.13529962,\\n-0.49171709, -0.32334222, 2.16101856, 0.46824882, 2.13337330, -0.48802957,\\n-0.40084079, 1.62077396, 1.93080019, -0.59114756, -0.09429057, -0.68952951,\\n-0.39819841, -0.63019599, -0.78762027, 0.12458423, 0.34847712, -0.52481068,\\n0.69730449, -0.74290105, -0.68866588, -0.45964670, -0.69174165, -0.64825389,\\n-0.49908622, -0.30049621, 0.35726449, 0.47210113, -0.25058065, -0.72112704,\\n0.79345044, -0.73245678, -0.75581875, -0.40885896, -0.08033429, -0.56030291,\\n-0.54967743, -0.63571829, -0.58889882, -0.71099478, -0.67055922, -0.03850658,\\n-0.40339282, -0.43003588, -0.44813762, -0.14347007, -0.48441216, -0.48851502,\\n-0.15427010, -0.39484463, 0.52701151, -0.61335693, 0.89776479, -0.18821502,\\n-0.46457371, -0.39850394, -0.26234640, -0.21535441, 0.33669589, -0.48879971,\\n0.43892192, 0.52101182, -0.42851659, -0.51364225, 0.85831207, -0.24052028,\\n-0.04192086, -0.02287821, 0.01522206, 0.24307671, 0.27369478, 0.11058009,\\n-0.95575786, 14.90733910 };\\n final double synthesizedExpectedPrediction[] = new double[\\n instantGenerator.maxInstantValue()];\\n for(int j=0; j<n; j++) {\\n synthesizedExpectedPrediction[j] = Double.NaN;\\n }\\n for(int j=0; j<coreExpectedPrediction.length; j++) {\\n synthesizedExpectedPrediction[j+n] = coreExpectedPrediction[j];\\n }\\n for(int j=m; j<instantGenerator.maxInstantValue(); j++) {\\n synthesizedExpectedPrediction[j] = Double.NaN;\\n }\\n\\n assertEquals(prediction.length, synthesizedExpectedPrediction.length);\\n\\n for(int i=0; i<prediction.length; i++) {\\n assertEquals(prediction[i], synthesizedExpectedPrediction[i], \\n 0.0001d);\\n }\\n System.out.println(\\\"Ok\\\");\\n }\",\n \"public void m21425b(as asVar, bc bcVar) throws bv {\\n int i = 0;\\n asVar = (ax) asVar;\\n ar arVar = new ar(Ascii.VT, Ascii.FF, asVar.mo7199s());\\n bcVar.f18795a = new HashMap(arVar.f18601c * 2);\\n for (int i2 = 0; i2 < arVar.f18601c; i2++) {\\n String v = asVar.mo7202v();\\n bb bbVar = new bb();\\n bbVar.mo7211a(asVar);\\n bcVar.f18795a.put(v, bbVar);\\n }\\n bcVar.m21448a(true);\\n BitSet b = asVar.mo7205b(2);\\n if (b.get(0)) {\\n aq aqVar = new aq(Ascii.FF, asVar.mo7199s());\\n bcVar.f18796b = new ArrayList(aqVar.f18598b);\\n while (i < aqVar.f18598b) {\\n ba baVar = new ba();\\n baVar.mo7211a(asVar);\\n bcVar.f18796b.add(baVar);\\n i++;\\n }\\n bcVar.m21452b(true);\\n }\\n if (b.get(1)) {\\n bcVar.f18797c = asVar.mo7202v();\\n bcVar.m21454c(true);\\n }\\n }\",\n \"public static double getVarience(double[] dataArray) {\\n\\t\\t\\n\\t\\tdouble varience = 0.0;\\n\\t\\tdouble average = getAverage(dataArray);\\n\\t\\t\\n\\t\\tfor (int i = 0; i <dataArray.length; i++) {\\n\\t\\t\\tvarience += Math.pow((dataArray[i]- average),2);\\n\\t\\t}\\n\\t\\t\\n\\t\\tvarience = varience/dataArray.length;\\n\\t\\treturn varience;\\n\\t}\",\n \"public Double getVariance() {\\n return variance;\\n }\",\n \"static final float interp_energy2(final float prev_e, final float next_e, final float weight)\\n\\t{\\n\\t\\treturn (float)(Math.pow( 10.0, (1.0 - (double)weight) * Math.log10( (double)prev_e ) + (double)weight * Math.log10( (double)next_e ) ));\\n\\t}\",\n \"public void mo35217a(C13816g[] gVarArr) {\\n this.f30692a = gVarArr;\\n }\",\n \"public abstract double calcSA();\",\n \"void mo67922a(AbstractC32732ag agVar, Throwable th);\",\n \"public FFANNAdaptiveBackPropagationJSP()\\n\\t{\\n\\t\\t//run(network, numberInputNeurons, numberHiddenNeurons, numberOutputNeurons, trainingSet);\\n\\t}\",\n \"public void updateSMA(){\\n audioInput.read(audioBuffer, 0, bufferSize);\\n Complex [] FFTarr = doFFT(shortToDouble(audioBuffer));\\n FFTarr = bandPassFilter(FFTarr);\\n double sum = 0;\\n for(int i = 0; i<FFTarr.length;i++){\\n sum+=Math.abs(FFTarr[i].re()); // take the absolute value of the FFT raw value\\n }\\n double bandPassAverage = sum/FFTarr.length;\\n Log.d(LOGTAG, \\\"bandPassAverage: \\\" + bandPassAverage);\\n\\n //Cut out loud samples, otherwise compute rolling average as usual\\n if(bandPassAverage>THROW_OUT_THRESHOLD){\\n mySMA.compute(mySMA.currentAverage());\\n }else {\\n mySMA.compute(bandPassAverage);\\n }\\n }\",\n \"private void updateMuVariance() {\\n\\t\\tmu = train.getLocalMean(); \\n\\t\\tsigma = train.getLocalVariance(); \\n\\t\\t\\n\\t\\t/*\\n\\t\\t * If the ratio of data variance between dimensions is too small, it \\n\\t\\t * will cause numerical errors. To address this, we artificially boost\\n\\t\\t * the variance by epsilon, a small fraction of the standard deviation\\n\\t\\t * of the largest dimension. \\n\\t\\t * */\\n\\t\\tupdateEpsilon(); \\n\\t\\tsigma = MathUtils.add(sigma, epsilon); \\n\\t\\t\\n\\t}\",\n \"private void method_252(int[] var1, int[] var2, int var3, int var4, int var5, int var6, int var7, int var8, int var9, int var10, int var11, int var12, int var13, int var14) {\\n boolean var21 = field_759;\\n int var15 = 256 - var14;\\n\\n try {\\n int var16 = var4;\\n int var17 = -var9;\\n if(var21 || var17 < 0) {\\n do {\\n int var18 = (var5 >> 16) * var12;\\n int var19 = -var8;\\n if(!var21 && var19 >= 0) {\\n var5 += var11;\\n var4 = var16;\\n var6 += var7;\\n var17 += var13;\\n } else {\\n do {\\n label23: {\\n var3 = var2[(var4 >> 16) + var18];\\n if(var3 != 0) {\\n int var20 = var1[var6];\\n var1[var6++] = ((var3 & 16711935) * var14 + (var20 & 16711935) * var15 & -16711936) + ((var3 & '\\\\uff00') * var14 + (var20 & '\\\\uff00') * var15 & 16711680) >> 8;\\n if(!var21) {\\n break label23;\\n }\\n }\\n\\n ++var6;\\n }\\n\\n var4 += var10;\\n ++var19;\\n } while(var19 < 0);\\n\\n var5 += var11;\\n var4 = var16;\\n var6 += var7;\\n var17 += var13;\\n }\\n } while(var17 < 0);\\n\\n }\\n } catch (Exception var22) {\\n System.out.println(\\\"error in tran_scale\\\"); // authentic System.out.println\\n }\\n }\",\n \"public void populateNoiseArray(double[] p_76308_1_, double p_76308_2_, double p_76308_4_, double p_76308_6_, int p_76308_8_, int p_76308_9_, int p_76308_10_, double p_76308_11_, double p_76308_13_, double p_76308_15_, double p_76308_17_) {\\n/* 81 */ if (p_76308_9_ == 1) {\\n/* */ \\n/* 83 */ boolean var64 = false;\\n/* 84 */ boolean var65 = false;\\n/* 85 */ boolean var21 = false;\\n/* 86 */ boolean var68 = false;\\n/* 87 */ double var70 = 0.0D;\\n/* 88 */ double var73 = 0.0D;\\n/* 89 */ int var75 = 0;\\n/* 90 */ double var77 = 1.0D / p_76308_17_;\\n/* */ \\n/* 92 */ for (int var30 = 0; var30 < p_76308_8_; var30++) {\\n/* */ \\n/* 94 */ double var31 = p_76308_2_ + var30 * p_76308_11_ + this.xCoord;\\n/* 95 */ int var78 = (int)var31;\\n/* */ \\n/* 97 */ if (var31 < var78)\\n/* */ {\\n/* 99 */ var78--;\\n/* */ }\\n/* */ \\n/* 102 */ int var34 = var78 & 0xFF;\\n/* 103 */ var31 -= var78;\\n/* 104 */ double var35 = var31 * var31 * var31 * (var31 * (var31 * 6.0D - 15.0D) + 10.0D);\\n/* */ \\n/* 106 */ for (int var37 = 0; var37 < p_76308_10_; var37++)\\n/* */ {\\n/* 108 */ double var38 = p_76308_6_ + var37 * p_76308_15_ + this.zCoord;\\n/* 109 */ int var40 = (int)var38;\\n/* */ \\n/* 111 */ if (var38 < var40)\\n/* */ {\\n/* 113 */ var40--;\\n/* */ }\\n/* */ \\n/* 116 */ int var41 = var40 & 0xFF;\\n/* 117 */ var38 -= var40;\\n/* 118 */ double var42 = var38 * var38 * var38 * (var38 * (var38 * 6.0D - 15.0D) + 10.0D);\\n/* 119 */ int var19 = this.permutations[var34] + 0;\\n/* 120 */ int var66 = this.permutations[var19] + var41;\\n/* 121 */ int var67 = this.permutations[var34 + 1] + 0;\\n/* 122 */ int var22 = this.permutations[var67] + var41;\\n/* 123 */ var70 = lerp(var35, func_76309_a(this.permutations[var66], var31, var38), grad(this.permutations[var22], var31 - 1.0D, 0.0D, var38));\\n/* 124 */ var73 = lerp(var35, grad(this.permutations[var66 + 1], var31, 0.0D, var38 - 1.0D), grad(this.permutations[var22 + 1], var31 - 1.0D, 0.0D, var38 - 1.0D));\\n/* 125 */ double var79 = lerp(var42, var70, var73);\\n/* 126 */ int var10001 = var75++;\\n/* 127 */ p_76308_1_[var10001] = p_76308_1_[var10001] + var79 * var77;\\n/* */ }\\n/* */ \\n/* */ } \\n/* */ } else {\\n/* */ \\n/* 133 */ int var19 = 0;\\n/* 134 */ double var20 = 1.0D / p_76308_17_;\\n/* 135 */ int var22 = -1;\\n/* 136 */ boolean var23 = false;\\n/* 137 */ boolean var24 = false;\\n/* 138 */ boolean var25 = false;\\n/* 139 */ boolean var26 = false;\\n/* 140 */ boolean var27 = false;\\n/* 141 */ boolean var28 = false;\\n/* 142 */ double var29 = 0.0D;\\n/* 143 */ double var31 = 0.0D;\\n/* 144 */ double var33 = 0.0D;\\n/* 145 */ double var35 = 0.0D;\\n/* */ \\n/* 147 */ for (int var37 = 0; var37 < p_76308_8_; var37++) {\\n/* */ \\n/* 149 */ double var38 = p_76308_2_ + var37 * p_76308_11_ + this.xCoord;\\n/* 150 */ int var40 = (int)var38;\\n/* */ \\n/* 152 */ if (var38 < var40)\\n/* */ {\\n/* 154 */ var40--;\\n/* */ }\\n/* */ \\n/* 157 */ int var41 = var40 & 0xFF;\\n/* 158 */ var38 -= var40;\\n/* 159 */ double var42 = var38 * var38 * var38 * (var38 * (var38 * 6.0D - 15.0D) + 10.0D);\\n/* */ \\n/* 161 */ for (int var44 = 0; var44 < p_76308_10_; var44++) {\\n/* */ \\n/* 163 */ double var45 = p_76308_6_ + var44 * p_76308_15_ + this.zCoord;\\n/* 164 */ int var47 = (int)var45;\\n/* */ \\n/* 166 */ if (var45 < var47)\\n/* */ {\\n/* 168 */ var47--;\\n/* */ }\\n/* */ \\n/* 171 */ int var48 = var47 & 0xFF;\\n/* 172 */ var45 -= var47;\\n/* 173 */ double var49 = var45 * var45 * var45 * (var45 * (var45 * 6.0D - 15.0D) + 10.0D);\\n/* */ \\n/* 175 */ for (int var51 = 0; var51 < p_76308_9_; var51++) {\\n/* */ \\n/* 177 */ double var52 = p_76308_4_ + var51 * p_76308_13_ + this.yCoord;\\n/* 178 */ int var54 = (int)var52;\\n/* */ \\n/* 180 */ if (var52 < var54)\\n/* */ {\\n/* 182 */ var54--;\\n/* */ }\\n/* */ \\n/* 185 */ int var55 = var54 & 0xFF;\\n/* 186 */ var52 -= var54;\\n/* 187 */ double var56 = var52 * var52 * var52 * (var52 * (var52 * 6.0D - 15.0D) + 10.0D);\\n/* */ \\n/* 189 */ if (var51 == 0 || var55 != var22) {\\n/* */ \\n/* 191 */ var22 = var55;\\n/* 192 */ int var69 = this.permutations[var41] + var55;\\n/* 193 */ int var71 = this.permutations[var69] + var48;\\n/* 194 */ int var72 = this.permutations[var69 + 1] + var48;\\n/* 195 */ int var74 = this.permutations[var41 + 1] + var55;\\n/* 196 */ int var75 = this.permutations[var74] + var48;\\n/* 197 */ int var76 = this.permutations[var74 + 1] + var48;\\n/* 198 */ var29 = lerp(var42, grad(this.permutations[var71], var38, var52, var45), grad(this.permutations[var75], var38 - 1.0D, var52, var45));\\n/* 199 */ var31 = lerp(var42, grad(this.permutations[var72], var38, var52 - 1.0D, var45), grad(this.permutations[var76], var38 - 1.0D, var52 - 1.0D, var45));\\n/* 200 */ var33 = lerp(var42, grad(this.permutations[var71 + 1], var38, var52, var45 - 1.0D), grad(this.permutations[var75 + 1], var38 - 1.0D, var52, var45 - 1.0D));\\n/* 201 */ var35 = lerp(var42, grad(this.permutations[var72 + 1], var38, var52 - 1.0D, var45 - 1.0D), grad(this.permutations[var76 + 1], var38 - 1.0D, var52 - 1.0D, var45 - 1.0D));\\n/* */ } \\n/* */ \\n/* 204 */ double var58 = lerp(var56, var29, var31);\\n/* 205 */ double var60 = lerp(var56, var33, var35);\\n/* 206 */ double var62 = lerp(var49, var58, var60);\\n/* 207 */ int var10001 = var19++;\\n/* 208 */ p_76308_1_[var10001] = p_76308_1_[var10001] + var62 * var20;\\n/* */ } \\n/* */ } \\n/* */ } \\n/* */ } \\n/* */ }\",\n \"@Override\\r\\n\\tpublic void sub(float var) {\\n\\t\\t\\r\\n\\t}\",\n \"private void updateVariance() {\\r\\n double variance = 0.0;\\r\\n updateMean();\\r\\n for (Tweet t : members) {\\r\\n variance += ((t.getDateLong() - this.mean) * (t.getDateLong() - this.mean));\\r\\n }\\r\\n variance /= members.size();\\r\\n this.variance = variance;\\r\\n }\",\n \"public double functionValue(double[] var) {\\n\\tdouble val = 0;\\n\\tfor (int i=0; i<numberOfParameters; i++) { val += p[i]*Math.pow(var[0], i+1); }\\n\\tval +=1.;\\n\\treturn val;\\n }\",\n \"public void mo7214b(as asVar) throws bv {\\n ((az) f18794i.get(asVar.mo7206y())).mo7210b().mo7208a(asVar, this);\\n }\",\n \"public void as(lj ljVar) {\\n while (true) {\\n int af = ljVar.af(1804771424);\\n if (af != 0) {\\n al(ljVar, af, 413278078);\\n } else {\\n return;\\n }\\n }\\n }\",\n \"private void method_253(int[] var1, int[] var2, int var3, int var4, int var5, int var6, int var7, int var8, int var9, int var10, int var11, int var12, int var13, int var14) {\\n boolean var25 = field_759;\\n int var15 = var14 >> 16 & 255;\\n int var16 = var14 >> 8 & 255;\\n int var17 = var14 & 255;\\n\\n try {\\n int var18 = var4;\\n int var19 = -var9;\\n if(var25 || var19 < 0) {\\n do {\\n int var20 = (var5 >> 16) * var12;\\n int var21 = -var8;\\n if(!var25 && var21 >= 0) {\\n var5 += var11;\\n var4 = var18;\\n var6 += var7;\\n var19 += var13;\\n } else {\\n do {\\n label30: {\\n var3 = var2[(var4 >> 16) + var20];\\n if(var3 != 0) {\\n int var22 = var3 >> 16 & 255;\\n int var23 = var3 >> 8 & 255;\\n int var24 = var3 & 255;\\n if(var22 == var23 && var23 == var24) {\\n var1[var6++] = (var22 * var15 >> 8 << 16) + (var23 * var16 >> 8 << 8) + (var24 * var17 >> 8);\\n if(!var25) {\\n break label30;\\n }\\n }\\n\\n var1[var6++] = var3;\\n if(!var25) {\\n break label30;\\n }\\n }\\n\\n ++var6;\\n }\\n\\n var4 += var10;\\n ++var21;\\n } while(var21 < 0);\\n\\n var5 += var11;\\n var4 = var18;\\n var6 += var7;\\n var19 += var13;\\n }\\n } while(var19 < 0);\\n\\n }\\n } catch (Exception var26) {\\n System.out.println(\\\"error in plot_scale\\\"); // authentic System.out.println\\n }\\n }\",\n \"void warmup(ConsolidatedSnapshot snapshot, double[] forecasts);\",\n \"public static void main(String[] args) throws Exception {\\n File file = new File(\\\"out/gSeries\\\" + Interpolate.prefix + \\\"/zeros.dat\\\");\\n// DataOutputStream out = Interpolate.outputStream( file);\\n ZeroInfo zeroInput = null;\\n int N = 1003814;\\n double[] nextValues = null;\\n double max = 70;\\n int run = 0;\\n int beginRun = 0;\\n for (int i = 0; i < N ; i++) {\\n zeroInput = readSingleZero( Interpolate.zeroIn, nextValues);\\n nextValues = zeroInput.nextValues;\\n// if(i>1003800){\\n// if(Math.abs(zeroInput.lastZero[1])>max){\\n// run = 0;\\n// beginRun = i;\\n// } else {\\n// run++;\\n// }\\n// }\\n// if(run>40){\\n// //run at 1003813\\n// System.out.println(\\\"run at \\\" + beginRun);\\n// break;\\n// }\\n if(i<3792 ){\\n continue;\\n }\\n final double z0 = zeroInput.lastZero[0];\\n final double z1 = zeroInput.nextValues[0];\\n final double d0 = zeroInput.lastZero[1];\\n final double d1 = zeroInput.nextValues[1];\\n final double maxFromInput = d0>0?zeroInput.lastZero[2]:-zeroInput.lastZero[2];\\n if(i==3792 || i==1003813){\\n //gSeries.begin 476.85026008636953\\n Poly4 poly = new Poly4(z0,z1, d0,d1,maxFromInput);\\n System.out.println(i + \\\", \\\" + Arrays.toString(zeroInput.lastZero) +\\n \\\", \\\\n\\\" + \\\"positionMax \\\" + poly.positionMax \\n + \\\", \\\" + poly.eval(poly.positionMax) \\n + \\\", \\\\n\\\" + Arrays.toString(nextValues));\\n }\\n// for (int j = 0; j < zeroInput.lastZero.length; j++) {\\n// out.writeDouble(zeroInput.lastZero[j]);\\n// }\\n// out.writeDouble(poly.positionMax);\\n }\\n// out.close();\\n// DataInputStream in = Interpolate.dataInputStream( file);\\n// double[] tmin = new double[4];\\n// for (int i = 0; i < N-3792 ; i++) \\n// {\\n// for (int i1 = 0; i1 < tmin.length; i1++) \\n// {\\n// tmin[i1] = in.readDouble();\\n// }\\n// System.out.println(Arrays.toString(tmin));\\n// }\\n// in.close();\\n }\",\n \"public double getBeta();\",\n \"public abstract float[] calcIntensityScaleExtrema(float maxRI, float minRI,\\n float maxRaw, float minRaw,\\n int sampleNbr);\",\n \"public double[] method_4317(int var1, float var2) {\\r\\n String[] var3 = class_752.method_4253();\\r\\n float var11;\\r\\n int var10000 = (var11 = this.method_406() - 0.0F) == 0.0F?0:(var11 < 0.0F?-1:1);\\r\\n if(var3 != null) {\\r\\n if(var10000 <= 0) {\\r\\n var2 = 0.0F;\\r\\n }\\r\\n\\r\\n var2 = 1.0F - var2;\\r\\n var10000 = this.field_3402 - var1 * 1 & 63;\\r\\n }\\r\\n\\r\\n int var4 = var10000;\\r\\n int var5 = this.field_3402 - var1 * 1 - 1 & 63;\\r\\n double[] var6 = new double[3];\\r\\n double var7 = this.field_3401[var4][0];\\r\\n double var9 = class_1715.method_9580(this.field_3401[var5][0] - var7);\\r\\n var6[0] = var7 + var9 * (double)var2;\\r\\n var7 = this.field_3401[var4][1];\\r\\n var9 = this.field_3401[var5][1] - var7;\\r\\n var6[1] = var7 + var9 * (double)var2;\\r\\n var6[2] = this.field_3401[var4][2] + (this.field_3401[var5][2] - this.field_3401[var4][2]) * (double)var2;\\r\\n return var6;\\r\\n }\",\n \"public void mo1508a(C0370g gVar) {\\n gVar.mo1563a((C0386n) this, this.f1290b);\\n if (mo1515d()) {\\n m2011d(gVar);\\n } else {\\n this.f1281S.add(gVar);\\n }\\n }\",\n \"public XYSeriesCollection eulers(double t0, double tF, double stepSize,\\n ArrayList<Argument> argumentList, ArrayList<Argument> variableArgList,\\n ArrayList<StockObject> stockArrayList, ArrayList<FlowObject> flowArrayList, ArrayList<VariableObject> variableArrayList) {\\n Argument[] aVarList = argumentList.toArray(new Argument[argumentList.size()]);\\n //aTempVarList only created to later create the temparg array list\\n Argument[] aTempVarList = new Argument[argumentList.size()];\\n for (int j = 0; j < aVarList.length; j++) {\\n aTempVarList[j] = aVarList[j].clone();\\n }\\n int numSteps = (int) ((tF - t0) / stepSize);\\n double t = t0;\\n //javax.swing.JProgressBar pbar = new javax.swing.JProgressBar(0,numSteps);\\n //int cutoff = String.valueOf(t).length()-1;\\n ArrayList<Argument> aTempArgArrayList = new ArrayList<Argument>();\\n for (int j = 0; j < aVarList.length; j++) {\\n aTempArgArrayList.add(aTempVarList[j]);\\n }\\n double[] dydt = new double[argumentList.size()];\\n\\n ArrayList<Double> k1 = new ArrayList<Double>();\\n\\n //idea is to set k1 to double 0\\n for (int x = 0; x < stockArrayList.size(); x++) {\\n k1.add(0.0);\\n }\\n\\n //array list length of amount of stocks\\n ArrayList<XYSeries> series = new ArrayList<XYSeries>();\\n\\n //create series to hold graph data\\n for (int i = 0; i < stockArrayList.size(); i++) {\\n XYSeries tempSeries = new XYSeries(stockArrayList.get(i).getObjName());\\n series.add(tempSeries);\\n }\\n\\n final XYSeriesCollection data = new XYSeriesCollection();\\n //create strings to hold table data\\n\\n //add initial values to series\\n for (int i = 0; i < stockArrayList.size(); i++) {\\n series.get(i).add(0, argumentList.get(i).getArgumentValue());\\n }\\n int numOfStocks = stockArrayList.size();\\n double value;\\n // label the string array for columns\\n String stockNames = \\\"Time,\\\";\\n for (int x = 0; x < stockArrayList.size(); x++) {\\n stockNames += argumentList.get(x).getArgumentName() + \\\",\\\";\\n }\\n String[] tableStrings = new String[stockArrayList.size() + 1];\\n String columns[] = stockNames.split(\\\",\\\");\\n tableModel = new DefaultTableModel(0, stockArrayList.size() + 1);\\n tableModel.setColumnIdentifiers(columns); // set the labels\\n\\n for (int n = 0; n < numSteps; n++) {\\n \\n t = t0 + (n * stepSize);\\n variableArgList.get(variableArgList.size() - 1).setArgumentValue(t);\\n // t = Math.ceil(t * 10000) / 10000;\\n\\n //Let's find k1:\\n dydt = RightHandSide(variableArgList, argumentList, flowArrayList, stockArrayList, variableArrayList);\\n\\n for (int i = 0; i < numOfStocks; i++) {\\n\\n k1.set(i, stepSize * dydt[i]);\\n }\\n\\n for (int i = 0; i < numOfStocks; i++) {\\n\\n value = argumentList.get(i).getArgumentValue() + (k1.get(i));\\n //value = Math.ceil(value * 10000) / 10000;\\n argumentList.get(i).setArgumentValue(value);\\n \\n }\\n\\n int row = n + 1;\\n //double tablex=row*stepSize;\\n //tableStrings[0] = Double.toString(Math.floor(tablex*Math.pow(10,cutoff))/Math.pow(10,cutoff));\\n tableStrings[0] = Double.toString(row * stepSize);\\n for (int col = 0; col < stockArrayList.size(); col++) {\\n tableStrings[col + 1] = Double.toString(argumentList.get(col).getArgumentValue());\\n }\\n tableModel.addRow(tableStrings);\\n\\n for (int i = 0; i < stockArrayList.size(); i++) {\\n series.get(i).add(t, argumentList.get(i).getArgumentValue());\\n }\\n }\\n for (int i = 0; i < stockArrayList.size(); i++) {\\n data.addSeries(series.get(i));\\n }\\n return data;\\n }\",\n \"private static native void fastGlobalSmootherFilter_0(long guide_nativeObj, long src_nativeObj, long dst_nativeObj, double lambda, double sigma_color, double lambda_attenuation, int num_iter);\",\n \"private static float[] delay(int lag, float[] x) {\\n int nt = x.length;\\n int itlo = max(0,lag); // 0 <= it-lag\\n int ithi = min(nt,nt+lag); // it-lag < nt\\n float[] y = new float[nt];\\n for (int it=0; it<itlo; ++it)\\n y[it] = 0.0f;\\n for (int it=itlo; it<ithi; ++it)\\n y[it] = x[it-lag];\\n for (int it=ithi; it<nt; ++it)\\n y[it] = 0.0f;\\n return y;\\n }\",\n \"float getPostGain();\",\n \"@Test\\n public void testShadowBuffer(){\\n numberOfTrees = 100;\\n sampleSize = 256;\\n dimensions = 3;\\n randomSeed = 123;\\n\\n RandomCutForest newForest = RandomCutForest.builder()\\n .numberOfTrees(numberOfTrees)\\n .sampleSize(sampleSize)\\n .dimensions(dimensions)\\n .randomSeed(randomSeed)\\n .centerOfMassEnabled(true)\\n .storeSequenceIndexesEnabled(true)\\n .build();\\n\\n dataSize = 10_000;\\n\\n baseMu = 0.0;\\n baseSigma = 1.0;\\n anomalyMu = 5.0;\\n anomalySigma = 1.5;\\n transitionToAnomalyProbability = 0.01;\\n transitionToBaseProbability = 0.4;\\n\\n NormalMixtureTestData generator = new NormalMixtureTestData(baseMu, baseSigma, anomalyMu, anomalySigma,\\n transitionToAnomalyProbability, transitionToBaseProbability);\\n double[][] data = generator.generateTestData(dataSize, dimensions);\\n\\n for (int i = 0; i < dataSize; i++) {\\n newForest.update(data[i]);\\n }\\n\\n double [] point = new double [] {-8.0,-8.0,0.0};\\n DiVector result=newForest.getAnomalyAttribution(point);\\n double score=newForest.getAnomalyScore(point);\\n assertEquals(score,result.getHighLowSum(),1E-10);\\n assertTrue(score>2);\\n assertTrue(result.getHighLowSum(2)<0.2);\\n // the third dimension has little influence in classification\\n\\n // this is going to add {8,8,0} into the forest\\n // but not enough to cause large scale changes\\n // note the probability of a tree seeing a change is\\n // 256/10_000\\n for (int i = 0; i < 5; i++) {\\n newForest.update(point);\\n }\\n\\n DiVector newResult=newForest.getAnomalyAttribution(point);\\n double newScore=newForest.getAnomalyScore(point);\\n\\n assertEquals(newScore,newResult.getHighLowSum(),1E-10);\\n assertTrue(newScore<score);\\n for(int j=0;j<3;j++){\\n // relationship holds at larger values\\n if (result.high[j]>0.2) {\\n assertEquals(score * newResult.high[j], newScore * result.high[j], 0.1*score);\\n } else {\\n assertTrue(newResult.high[j]<0.2);\\n }\\n\\n if (result.low[j]>0.2) {\\n assertEquals(score * newResult.low[j], newScore * result.low[j], 0.1*score);\\n } else {\\n assertTrue(newResult.low[j]<0.2);\\n }\\n }\\n\\n // this will make the point an inlier\\n for (int i = 0; i < 5000; i++) {\\n newForest.update(point);\\n }\\n\\n DiVector finalResult=newForest.getAnomalyAttribution(point);\\n double finalScore=newForest.getAnomalyScore(point);\\n assertTrue(finalScore<1);\\n assertEquals(finalScore,finalResult.getHighLowSum(),1E-10);\\n\\n for(int j=0;j<3;j++){\\n // relationship holds at larger values\\n if (finalResult.high[j]>0.2) {\\n assertEquals(score * finalResult.high[j], finalScore * result.high[j], 0.1*score);\\n } else {\\n assertTrue(newResult.high[j]<0.2);\\n }\\n\\n if (finalResult.low[j]>0.2) {\\n assertEquals(score * finalResult.low[j], finalScore * result.low[j], 0.1*score);\\n } else {\\n assertTrue(finalResult.low[j]<0.2);\\n }\\n }\\n\\n }\",\n \"protected void setVariance(double value) {\\n\\t variance = value;\\n\\t}\",\n \"protected void setVariance(double value) {\\n\\t variance = value;\\n\\t}\",\n \"public double[][] deconstructTimeSeries( ArrayList< Double > series, \\n int numberOfVariables, \\n int lag )\\n {\\n int N = series.size() - numberOfVariables * lag;\\n while( N < 0 )\\n {\\n numberOfVariables--;\\n N = series.size() - (numberOfVariables) * lag;\\n }\\n double[][] variables = new double[ numberOfVariables ][ N ];\\n\\n for( int i=0; i<numberOfVariables; i++ )\\n {\\n for( int j=0; j<N; j++ )\\n {\\n variables[ i ][ j ] = series.get( i * lag + j );\\n }\\n }\\n\\n return variables;\\n }\",\n \"protected Element arrayVar(String suffix){\\n\\t\\treturn el(\\\"bpws:variable\\\", new Node[]{\\n\\t\\t\\t\\tattr(\\\"element\\\", \\\"wsa:addresses\\\"),\\n\\t\\t\\t\\tattr(\\\"name\\\", ARRAY_VAR_PRFX + suffix)\\n\\t\\t});\\n\\t}\",\n \"public Double getEstimatedPathLossExponentVariance() {\\n return mEstimatedPathLossExponentVariance;\\n }\",\n \"public Double getEstimatedPathLossExponentVariance() {\\n return mEstimatedPathLossExponentVariance;\\n }\",\n \"float getPreGain();\",\n \"public float getGamma();\",\n \"public Options varianceEpsilon(Float varianceEpsilon) {\\n this.varianceEpsilon = varianceEpsilon;\\n return this;\\n }\",\n \"Series<double[]> makeSeries(int dimension);\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.51500094","0.49908596","0.49872848","0.4832363","0.4774074","0.47540474","0.46885556","0.46764994","0.46677428","0.46667022","0.46390954","0.46076834","0.46023986","0.45800066","0.45209542","0.45164892","0.44780508","0.4475406","0.44749272","0.44710934","0.44699392","0.4465519","0.44565794","0.44520122","0.44406196","0.4440404","0.44244504","0.4411102","0.4410474","0.44027755","0.4397997","0.43785122","0.43719286","0.4371149","0.435442","0.4354248","0.43518218","0.4351608","0.43468565","0.4335568","0.4328556","0.43190557","0.43183404","0.4313424","0.4296826","0.42965558","0.4293766","0.42916745","0.4281664","0.42803982","0.42751908","0.42749807","0.42688537","0.42672095","0.42641413","0.42622262","0.42577723","0.42571965","0.42493325","0.4247083","0.42433554","0.42398253","0.42385158","0.4236978","0.42347586","0.42345455","0.42344585","0.42343625","0.42268866","0.42243898","0.42205825","0.42124087","0.42080045","0.42005828","0.42002964","0.41971064","0.419501","0.41934824","0.4190998","0.41847426","0.41841543","0.41791525","0.4177964","0.41778564","0.41755602","0.4167397","0.41622737","0.416126","0.41609713","0.41606003","0.41537526","0.41537526","0.4153552","0.41485342","0.4146267","0.4146267","0.41442806","0.41390005","0.41367584","0.41356003"],"string":"[\n \"0.51500094\",\n \"0.49908596\",\n \"0.49872848\",\n \"0.4832363\",\n \"0.4774074\",\n \"0.47540474\",\n \"0.46885556\",\n \"0.46764994\",\n \"0.46677428\",\n \"0.46667022\",\n \"0.46390954\",\n \"0.46076834\",\n \"0.46023986\",\n \"0.45800066\",\n \"0.45209542\",\n \"0.45164892\",\n \"0.44780508\",\n \"0.4475406\",\n \"0.44749272\",\n \"0.44710934\",\n \"0.44699392\",\n \"0.4465519\",\n \"0.44565794\",\n \"0.44520122\",\n \"0.44406196\",\n \"0.4440404\",\n \"0.44244504\",\n \"0.4411102\",\n \"0.4410474\",\n \"0.44027755\",\n \"0.4397997\",\n \"0.43785122\",\n \"0.43719286\",\n \"0.4371149\",\n \"0.435442\",\n \"0.4354248\",\n \"0.43518218\",\n \"0.4351608\",\n \"0.43468565\",\n \"0.4335568\",\n \"0.4328556\",\n \"0.43190557\",\n \"0.43183404\",\n \"0.4313424\",\n \"0.4296826\",\n \"0.42965558\",\n \"0.4293766\",\n \"0.42916745\",\n \"0.4281664\",\n \"0.42803982\",\n \"0.42751908\",\n \"0.42749807\",\n \"0.42688537\",\n \"0.42672095\",\n \"0.42641413\",\n \"0.42622262\",\n \"0.42577723\",\n \"0.42571965\",\n \"0.42493325\",\n \"0.4247083\",\n \"0.42433554\",\n \"0.42398253\",\n \"0.42385158\",\n \"0.4236978\",\n \"0.42347586\",\n \"0.42345455\",\n \"0.42344585\",\n \"0.42343625\",\n \"0.42268866\",\n \"0.42243898\",\n \"0.42205825\",\n \"0.42124087\",\n \"0.42080045\",\n \"0.42005828\",\n \"0.42002964\",\n \"0.41971064\",\n \"0.419501\",\n \"0.41934824\",\n \"0.4190998\",\n \"0.41847426\",\n \"0.41841543\",\n \"0.41791525\",\n \"0.4177964\",\n \"0.41778564\",\n \"0.41755602\",\n \"0.4167397\",\n \"0.41622737\",\n \"0.416126\",\n \"0.41609713\",\n \"0.41606003\",\n \"0.41537526\",\n \"0.41537526\",\n \"0.4153552\",\n \"0.41485342\",\n \"0.4146267\",\n \"0.4146267\",\n \"0.41442806\",\n \"0.41390005\",\n \"0.41367584\",\n \"0.41356003\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.529897"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":19789,"cells":{"query":{"kind":"string","value":"Return a moving average for the series for the given day. The nday moving average, MA(n), is a very simple and popular delay technical indicator."},"document":{"kind":"string","value":"public double movingAverage(int periods, int t)\n {\n if(periods>t + 1 || periods<1)\n throw new IndexOutOfBoundsException(\"MA(\" + periods + \") is undefined at time \" + t);\n double sum = 0.0;\n for(int i = t - periods + 1; i<=t; i++)\n sum += x[i];\n return sum/periods;\n }"},"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":["@Test\n\tpublic void MovingAverage() {\n\t\tList<Double> high = new ArrayList<Double>();\n\t\t// high = highPriceList();\n\t\tfor (Double data2 : high) {\n\t\t\tSystem.out.println(data2);\n\t\t}\n\t\t// double[] testData = { 1, 2, 3, 4, 5, 5, 4, 3, 2, 1 };\n\t\tint[] windowSizes = { 3 };\n\n\t\tfor (int windSize : windowSizes) {\n\t\t\tStock_data_controller ma = new Stock_data_controller();\n\t\t\tma.Stock_controller(windSize);\n\t\t\tfor (double x : high) {\n\t\t\t\tma.newNum(x);\n\t\t\t\tSystem.out.println(\"Next number = \" + x + \", SimpleMovingAvg = \" + ma.getAvg());\n\t\t\t}\n\t\t\tSystem.out.println();\n\t\t}\n\t}","private static double calculateMovingAverage(JsArrayNumber history) {\n double[] vals = new double[history.length()];\n long size = history.length();\n double sum = 0.0;\n double mSum = 0.0;\n long mCount = 0;\n\n // Check for sufficient data\n if (size >= 8) {\n // Clone the array and Calculate sum of the values\n for (int i = 0; i < size; i++) {\n vals[i] = history.get(i);\n sum += vals[i];\n }\n double mean = sum / size;\n\n // Calculate variance for the set\n double varianceTemp = 0.0;\n for (int i = 0; i < size; i++) {\n varianceTemp += Math.pow(vals[i] - mean, 2);\n }\n double variance = varianceTemp / size;\n double standardDev = Math.sqrt(variance);\n\n // Standardize the Data\n for (int i = 0; i < size; i++) {\n vals[i] = (vals[i] - mean) / standardDev;\n }\n\n // Calculate the average excluding outliers\n double deviationRange = 2.0;\n\n for (int i = 0; i < size; i++) {\n if (vals[i] <= deviationRange && vals[i] >= -deviationRange) {\n mCount++;\n mSum += history.get(i);\n }\n }\n\n } else {\n // Calculate the average (not enough data points to remove outliers)\n mCount = size;\n for (int i = 0; i < size; i++) {\n mSum += history.get(i);\n }\n }\n\n return mSum / mCount;\n }","protected static float[] computeMovingAverage(float[] values, int np) {\n\t\tfloat[] mm = new float[values.length - np];\n\t\tfor (int i = 0; i < mm.length; i++) {\n\t\t\tfloat sum = 0;\n\t\t\tfor (int j = 0; j < np; j++) {\n\t\t\t\tsum = sum + values[i + j];\n\t\t\t}\n\t\t\tmm[i] = sum / np;\n\t\t}\n\t\treturn mm;\n\t}","public double averageSteps() {\n if (day==0) return 0;\n return (double) totalSteps / day;}","public MovingAverage(int size) {\r\n this.size = size;\r\n }","public MovingAverage(int size) {\n value = new int[size];\n }","public static void calculateAverage(double[] inputArray, int limit)\r\n\t{\r\n\t\tIMovingAverage<Double> movingAvg = new MovingAverageImpl<Double>(limit);\r\n\t\tfor(double element : inputArray)\r\n\t\t{\r\n\t\t\tmovingAvg.add(element);\r\n\t\t\tSystem.out.println(\"Moving average is = \" +movingAvg.getAverage());\r\n\t\t}\r\n\t\tSystem.out.println(\"*********************************************************\");\r\n\t}","public double average(){\r\n\t\t//create variable to hold the values\r\n\t\tdouble average = 0;\r\n\t\t\r\n\t\tfor (int i = 0; i < this.data.length; i++){\r\n\t\t\t//add current index\r\n\t\t\taverage += this.data[i];\r\n\t\t\t}\r\n\t\treturn (average/this.data.length);\r\n\t}","private double calculateAverage(Candle[] cd) {\n double sum = 0; \r\n for(Candle c : cd) {\r\n sum += c.getClose();\r\n }\r\n return sum/cd.length;\r\n \r\n }","@Test\r\n\tpublic void exerciseMovingAverage() {\n\t\tList<Integer> temparaturArray = Arrays.asList(8, 7, 6, 6, 7, 7, 8, 10, 13, 16, 10, 20, 23, 26, 30, 29, 27, 45, 24, 23, 20, 18, 15, 11);\r\n\t\tObservable<Integer> temparaturSequence = Observable\r\n\t\t\t\t.interval(0, 1L, TimeUnit.HOURS, testScheduler)\r\n\t\t\t\t.take(temparaturArray.size())\r\n\t\t\t\t.map(i -> temparaturArray.get(i.intValue()));\r\n\t\t\r\n\t\t// TODO: calculate the moving average (SMA) of the given temperature sequence (each hour of a single day).\r\n\t\t// use the previous three values for each data point.\r\n // HINT: use a suitable overload of the same method used in \"Batching\"\r\n // and then calculate the average of each batch using LINQ\r\n // HINT: don't forget to pass the scheduler\r\n\t\tObservable<Double> movingAverage = Observable.empty();\r\n\r\n\t\t// verify\r\n\t\tTestSubscriber<Double> testSubscriber = new TestSubscriber<>();\r\n\t\tmovingAverage.subscribe(testSubscriber);\r\n\r\n\t\t// let the time elapse until completion\r\n\t\ttestScheduler.advanceTimeBy(1, TimeUnit.DAYS);\r\n\t\t\r\n\t\tlog(testSubscriber.getOnNextEvents());\r\n\t\t\r\n\t\ttestSubscriber.assertNoErrors();\r\n\t\ttestSubscriber.assertCompleted();\r\n\t\t\r\n\t\t// expected values:\r\n\t\tList<Double> expected = Arrays.asList(\r\n\t\t\t\t7.0, 6.333333333333333, 6.333333333333333, 6.666666666666667, 7.333333333333333, \r\n\t\t\t\t8.333333333333334, 10.333333333333334, 13.0, 13.0, 15.333333333333334, \r\n\t\t\t\t17.666666666666668, 23.0, 26.333333333333332, 28.333333333333332, \r\n\t\t\t\t28.666666666666668, 33.666666666666664, 32.0, 30.666666666666668, \r\n\t\t\t\t22.333333333333332, 20.333333333333332, 17.666666666666668, 14.666666666666666, \r\n\t\t\t\t// the last two values have limited input, i.e.\r\n\t\t\t\t// (15+11)/2 and (11)/1\r\n\t\t\t\t13.0, 11.0);\r\n\t\ttestSubscriber.assertReceivedOnNext(expected);\r\n\t\t\r\n\t}","public double averageDayDriveDistance(String day)\n\t{\n\t\tint dayCount = 0; //total days run through\n\t\tString currentDate = \"\";\n\t\tdouble totalDistance = 0;\n\t\tfor(int i = 0; i < saveData.size(); i++)\n\t\t{\n\t\t\t//figures out the number of days, then averages the total by that number\n\t\t\tif(day.equals(saveData.get(i).get(\"day\")))\n\t\t\t{\n\t\t\t\tif(currentDate.equals(\"\"))\n\t\t\t\t{\n\t\t\t\t\t//if there is no current date, we must have just started; set the variable\n\t\t\t\t\tcurrentDate = saveData.get(i).get(\"date\"); //.get(\"date\") to be replaced\n\t\t\t\t\ttotalDistance += saveData.get(i).get(\"distance\");\n\t\t\t\t}\n\t\t\t\telse if(currentDate.equals(saveData.get(i).get(\"date\")))\n\t\t\t\t{\n\t\t\t\t\t//it's the same date, so add this distance to the total distance\n\t\t\t\t\ttotalDistance += saveData.get(i).get(\"distance\");\n\t\t\t\t}\n\t\t\t\telse\n\t\t\t\t{\n\t\t\t\t\t//it's a different date, so set the currentDate to this one,\n\t\t\t\t\t//increment the days counter;\n\t\t\t\t\tcurrentDate = saveData.get(i).get(\"date\");\n\t\t\t\t\tdayCount++;\n\t\t\t\t\t//add this drive to the total distance\n\t\t\t\t\ttotalDistance += saveData.get(i).get(\"distance\");\n\t\t\t\t}\n\t\t\t}\n\n\t\t}\n\t\t//after all the indexes of saveData have been run through\n\t\t//clean up by increment the days counter\n\t\tdayCount++;\n\t\t//get the average by dividing the total distance by the days\n\t\tdouble averageDistancePerDay = this.totalDriveDistance()/dayCount;\n\t}","public static void calculateAverage(int[] inputArray, int limit)\r\n\t{\r\n\t\tIMovingAverage<Integer> movingAvg = new MovingAverageImpl<Integer>(limit);\r\n\t\tfor(int element : inputArray)\r\n\t\t{\r\n\t\t\tmovingAvg.add(element);\r\n\t\t\tSystem.out.println(\"Moving average is = \" +movingAvg.getAverage());\r\n\t\t}\r\n\t\tSystem.out.println(\"*********************************************************\");\r\n\t}","public MovingAveragefromDataStream(int size) {\n this.size = size;\n }","static double average(double[] data){\n\n // Initializing total placeholder \n double total = 0;\n\n // Traversing data array and adding to total sum\n for (double d : data) {\n total += d;\n }\n\n // Computing average\n double average = (double) total / data.length;\n\n return average;\n }","double average();","public double getAvg(){\n double avg=0;\n for(int x=0; x<max; x++){\n avg=avg+times[x];\n }\n avg=avg/max;\n return avg;\n }","public double MACDSignal(int t)\n {\n Series macd = new Series();\n macd.x = new double[macd.size = t + 1];\n for(int i = 0; i<=t; i++)\n macd.x[i] = MACD(i);\n return macd.expMovingAverage(9, t);\n }","public static double average(double[] array){\n double sum = 0;\n for (int i = 0; i < array.length; i++) {\n sum += array[i];\n }\n return sum/array.length;\n }","public static float[] returnMeanArray (float[] weatherArray){\n float[] meanArray = new float[12];\n for (int i = 0; i < 12; i++){\n meanArray[i] = weatherArray[i]/30;\n }\n return meanArray;\n }","public static double meanOf(double... values) {\n/* 433 */ Preconditions.checkArgument((values.length > 0));\n/* 434 */ double mean = values[0];\n/* 435 */ for (int index = 1; index < values.length; index++) {\n/* 436 */ double value = values[index];\n/* 437 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\n/* */ \n/* 439 */ mean += (value - mean) / (index + 1);\n/* */ } else {\n/* 441 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\n/* */ } \n/* */ } \n/* 444 */ return mean;\n/* */ }","public static double getAverage(int start, double[] d) {\n double average = 0;\n for (int i = 0; i < 110; i++) {\n average = average + d[i];\n }\n return average / 110;\n }","private float calculateMean()\n { \n int numberEmployees = employees.size();\n float total = 0, meanGrossPay = 0;\n // Create an array of all gross pays\n float[] allGrossPay = new float[numberEmployees];\n \n // Call method to return an array of float containing all gross pays\n allGrossPay = calculateAllGrossPay();\n // Find total gross pay\n for (int i = 0; i < numberEmployees; i++)\n {\n total += allGrossPay[i];\n }\n // Find mean and return it\n if (numberEmployees > 0)\n {\n meanGrossPay = total/numberEmployees;\n \n }\n return meanGrossPay;\n }","public MovingAverage(int size) {\n q = new LinkedList();\n this.size = size;\n sum = 0;\n }","@Test\n\tpublic void averageWorksForModeSteps() {\n\t\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\n\t\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 10, 0)); // constant function = 10\n\t\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\n\t\tt1.addValues(TimeSeriesUtils.createStepFunction(5, 20, 25, 20, 0)); // constant function = 20\n\t\tt0.setInterpolationMode(InterpolationMode.STEPS);\n\t\tt1.setInterpolationMode(InterpolationMode.STEPS);\n\t\tfinal ReadOnlyTimeSeries avg = MultiTimeSeriesUtils.getAverageTimeSeries(Arrays.<ReadOnlyTimeSeries> asList(t0, t1), 0, Long.MAX_VALUE, true, null, false);\n\t\t// one data point outside time range, one boundary value should be added\n\t\tAssert.assertEquals(\"Time series sum has wrong number of data points\", 13, avg.size());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 10, avg.getValue(7).getValue().getIntegerValue());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 15, avg.getValue(23).getValue().getIntegerValue());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 15, avg.getValue(100).getValue().getIntegerValue());\n\t}","public static double meanOf(int... values) {\n/* 457 */ Preconditions.checkArgument((values.length > 0));\n/* 458 */ double mean = values[0];\n/* 459 */ for (int index = 1; index < values.length; index++) {\n/* 460 */ double value = values[index];\n/* 461 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\n/* */ \n/* 463 */ mean += (value - mean) / (index + 1);\n/* */ } else {\n/* 465 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\n/* */ } \n/* */ } \n/* 468 */ return mean;\n/* */ }","public static double avg(double[] array) {\r\n\t\tdouble ret = sum(array);\r\n\t\treturn ret / array.length;\r\n\t}","public void updateSMA(){\n audioInput.read(audioBuffer, 0, bufferSize);\n Complex [] FFTarr = doFFT(shortToDouble(audioBuffer));\n FFTarr = bandPassFilter(FFTarr);\n double sum = 0;\n for(int i = 0; i<FFTarr.length;i++){\n sum+=Math.abs(FFTarr[i].re()); // take the absolute value of the FFT raw value\n }\n double bandPassAverage = sum/FFTarr.length;\n Log.d(LOGTAG, \"bandPassAverage: \" + bandPassAverage);\n\n //Cut out loud samples, otherwise compute rolling average as usual\n if(bandPassAverage>THROW_OUT_THRESHOLD){\n mySMA.compute(mySMA.currentAverage());\n }else {\n mySMA.compute(bandPassAverage);\n }\n }","public double getMean() {\n double timeWeightedSum = 0;\n\n for (int i = 0; i < accumulate.size() - 1; i++) {\n timeWeightedSum += accumulate.get(i).value\n * (accumulate.get(i + 1).timeOfChange\n - accumulate.get(i).timeOfChange);\n\n }\n LOG_HANDLER.logger.finer(\"timeWeightedSum Value: \" + timeWeightedSum\n + \"totalOfQuueueEntries: \" + totalOfQueueEntries);\n return timeWeightedSum / totalOfQueueEntries;\n }","public static void main(String[] args) {\r\n double d = 3.5;\r\n int i = 2;\r\n System.out.println(d/i);\r\n MovingAverage movingAverage = new A0346MovingAveragefromDataStream().new MovingAverage(3);\r\n System.out.println(movingAverage.next(1));\r\n System.out.println(movingAverage.next(10));\r\n System.out.println(movingAverage.next(3));\r\n System.out.println(movingAverage.next(5));\r\n }","public double arithmeticalMean(double[] arr) {\n return 0;\n }","public Series removeDelayedTrend(int depth)\n {\n if(depth<1 || depth>=size)\n throw new IndexOutOfBoundsException();\n Series oscillator = new Series();\n oscillator.x = new double[oscillator.size = size - depth];\n if(oscillator.size>1)\n oscillator.r = new double[oscillator.size - 1];\n for(int t = 0; t<oscillator.size; t++)\n {\n oscillator.x[t] = x[t + depth] - movingAverage(depth, t + depth);\n if(t>0)\n oscillator.r[t - 1] = Math.log(oscillator.x[t]/oscillator.x[t - 1]);\n }\n return oscillator;\n }","public TimeDecayingAverage(double phi, double average) {\n setPhi(phi);\n this.average = average;\n }","public double getMean() \r\n\t{\r\n\t\tlong tmp = lastSampleTime - firstSampleTime;\r\n\t\treturn ( tmp > 0 ? sumPowerOne / (double) tmp : 0);\r\n\t}","public double average() {\n return average(0.0);\n }","public double averageTempForMonth(int month, int year) {\r\n int count = 0;\r\n double total = 0;\r\n double average;\r\n for(DailyWeatherReport report : dailyReports){\r\n if((report.getDate().get(GregorianCalendar.MONTH) == month) && (report.getDate() .get(GregorianCalendar.YEAR) == year)) {\r\n total += report.takeTempAvg();\r\n count++;\r\n }\r\n }\r\n if(total != 0){\r\n average = total / count;\r\n return average;\r\n }\r\n average = 0;\r\n return average;\r\n }","double average(double[] doubles) {\n double total = 0.0;\n //int count = 0;\n for (double d: doubles) {\n total = total + d;\n //count = count + 1;\n }\n //return total / count;\n return total / doubles.length;\n }","public int average()\n {\n int average = 0;\n int sum = 0;\n\n for ( int index = 0; index < data.length; index++ )\n {\n sum = sum + data[index];\n }\n average = sum / data.length;\n\n return average;\n }","public static double doAvgTurnAroundTime() {\n if (count >= 1) {\n return turnaroundTimeTotal / count;\n } else {\n return -1;\n }\n }","public double expMovingAverage(int periods, int t)\n {\n if(periods<1)\n throw new IndexOutOfBoundsException(\"EMA(\" + periods + \") is undefined at time \" + t);\n double alpha = 2.0/(periods + 1);\n double ema = 0.0;\n for(int i = 0; i<=t; i++)\n ema += alpha*(x[i] - ema);\n return ema;\n }","void printAverageMeasurement(Station station, Sensor sensor, LocalDateTime since, LocalDateTime until, double average);","public double averageOfArray() {\n double sum = 0;\n double average = 0;\n int i;\n for (i = 0; i < sirDeLa1La100.length; i++) {\n sum = sum + sirDeLa1La100[i];\n }\n average = sum / sirDeLa1La100.length;\n return average;\n }","public double getAverage(){\n return getTotal()/array.length;\n }","public static double averageOfNumbers(int n) {\n Scanner keyedInput = new Scanner(System.in);\n\n double total = 0;\n double[] values = new double[n];\n\n System.out.println(\"Please enter your values:\");\n for (int i = 0; i < n; i = i + 1) {\n values[i] = keyedInput.nextDouble();\n total = total + values[i];\n }\n double a = (double) Math.round((total / n) * 100) / 100;\n return a;\n }","private float averageBeat(){\n float avgBeat = 0f;\n List<Float> beatRed = DataManager.getInstance().getBeatRed();\n List<Float> beatIR = DataManager.getInstance().getBeatIR();\n\n for(int i = 0; i < beatRed.size() && i < beatIR.size(); i ++ ){\n chartFragment.addRedData(beatRed.get(i));\n chartFragment.addIRData(beatIR.get(i));\n avgBeat += beatRed.get(i);\n avgBeat += beatIR.get(i);\n }\n avgBeat = avgBeat / (beatRed.size() + beatIR.size());\n\n if (tcpTask != null )\n this.tcpTask.addData(\"\" + avgBeat);\n beatLabel.setText(\"Beat : \" + avgBeat);\n return avgBeat;\n }","public Double computeAverage(){\n\t\tdouble total = 0; //double used to keep total value of elements in arr to determine average\n\t\t\n\t\tfor(int i = 0; i < arr.length; i++)//loop through array and add the total\n\t\t{\n\t\t\ttotal += arr[i].doubleValue(); //add current value of element in arr to total's value\n\t\t}\n\t\t\n\t\tDouble result = total/arr.length; //returns the average as a Double\n\t\t\n\t\treturn result;\n\t}","public static double rollingAvg(double value, double newEntry, double n, double weighting ) {\r\n return (value * n + newEntry * weighting)/(n + weighting);\r\n }","public double mean()\n {\n double sum = 0.0;\n for(int t = 0; t<size; t++)\n sum += x[t];\n return sum/size;\n }","public double mean(double data[]) {\r\n\t\tdouble mean = 0;\r\n\t\ttry {\r\n\t\t\tfor(int i=0;i<data.length;i++) {\r\n\t\t\t\tmean =mean+data[i];\r\n\t\t\t}\r\n\t\t\tmean = mean / data.length;\r\n\t\t}\r\n\t\tcatch(Exception e) {\r\n\t\t\tDataMaster.logger.warning(e.toString());\r\n\t\t\t//e.printStackTrace();\r\n\t\t}\r\n\t\treturn mean;\r\n\t}","private void PeriodMeanEvaluation () {\n\n float x = 0;\n for(int i = 0; i < 3; i++)\n {\n for(int j = 0; j < numberOfSample; j++)\n {\n x = x + singleFrame[j][i];\n }\n meanOfPeriodCoord[i] = (x/numberOfSample);\n x = 0;\n }\n }","public static double meanOf(long... values) {\n/* 482 */ Preconditions.checkArgument((values.length > 0));\n/* 483 */ double mean = values[0];\n/* 484 */ for (int index = 1; index < values.length; index++) {\n/* 485 */ double value = values[index];\n/* 486 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\n/* */ \n/* 488 */ mean += (value - mean) / (index + 1);\n/* */ } else {\n/* 490 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\n/* */ } \n/* */ } \n/* 493 */ return mean;\n/* */ }","public ArrayList<Forecast> getForecastsForDay( int day ) {\n if (forecasts.size() == 0) {\n return null;\n }\n\n int startIndex = 0;\n int endIndex = 0;\n\n if (day < 8) {\n startIndex = dayIndices[day];\n }\n\n if (startIndex == -1) {\n return null;\n }\n\n if (day < 7) {\n endIndex = dayIndices[day+1];\n if (endIndex < 0) {\n endIndex = forecasts.size();\n }\n } else {\n endIndex = forecasts.size();\n }\n\n return new ArrayList<>(forecasts.subList(startIndex, endIndex));\n }","public double average(){\n double avg = 0;\n double sum = 0;\n for (T t : arr) {\n // sum += t.doubleValue();\n }\n\n return sum / arr.length;\n }","static double calculateAverage(int[] array) {\n\n double sum = 0;\n\n for (int i = 0; i < array.length; i++) {\n\n sum = sum + (double) array[i];\n\n\n }\n\n return sum / array.length;//returning average\n\n }","private void calculateMean(float total){\r\n float averageBonds = total/accountInTotal;\r\n float averageAER = (averageBonds-startingBonds)/(startingBonds/100);\r\n\r\n Account averageAccount = new Account(startingBonds,averageBonds,averageAER);\r\n System.out.println(averageAccount.toString());\r\n\r\n }","private int getMean(int[] times) {\n\n\t\t//Initialise mean and sum to 0\n\t\tint mean = 0;\n\t\tint sum = 0;\n\n\t\t//Loop through all the times\n\t\tfor (int i = 0; i < times.length; i++) {\n\n\t\t\t//Add to the sum\n\t\t\tsum += times[i];\n\t\t}\n\n\t\t//Calculate and return the mean\n\t\tmean = sum/times.length;\n\t\treturn mean;\n\t}","public double getMean(final int d) {\n double sum = 0;\n int numPoints = getNumPoints();\n\n for (int i = 0; i < numPoints; i++) {\n sum += getComponent(i, d);\n }\n\n return sum / numPoints;\n }","public static Double computeMean(Double[] values) {\n\t\treturn computeMean(values, 0, values.length);\n\t}","public void setMovingAverageSamples(int count)\n {\n NumAvgSamples = count;\n }","public double averageTempForMonth(int month, int year) {\n\t\tdouble sum = 0;\n\t\tint count = 0;\n\t\tfor(DailyWeatherReport report: reports.getReportsForMonth(month, year)) {\n\t\t\tsum += report.avgTempForDay();\n\t\t\tcount++;\n\t\t}\n\t\tif(count == 0) return 0;\n\t\treturn sum / count;\n\t}","@Override\n public Double average() {\n return (sum() / (double) count());\n }","public static double getAverage(double[][] array)\r\n\t{\r\n\t\tint count = 0;\r\n\t\tList<Double> lineSumList = new ArrayList<Double>();\r\n\t\tfor( int i = 0; i < array.length; i++ ) {\r\n\t\t\tdouble lineSum = Σ(array[i]);\r\n\t\t\tlineSumList.add(lineSum);\r\n\t\t\tcount += array[i].length;\r\n\t\t}\r\n\t\tdouble sum = Σ(lineSumList);\r\n\t\t\r\n\t\tif (sum == 0 || array.length == 0)\r\n\t\t\treturn 0;\r\n\t\treturn sum / count;\r\n\t}","public static double getAverage(double[] dataArray) {\n\t\t\n\t\tdouble average = 0.0;\n\t\t\n\t\tfor (int i = 0; i <dataArray.length; i++) {\n\t\t\taverage += dataArray[i];\n\t\t}\n\t\t\n\t\taverage = average/dataArray.length;\n\t\t\n\t\treturn average;\n\t}","private Double getMean(Double[] values) {\n double sum = 0;\n int count = 0;\n for (Double d: values) {\n if (d != null) {\n sum += d;\n ++count;\n }\n }\n return count == 0 ? null : (sum / count);\n }","public double average(double alternative) {\n int cnt = 0;\n double sum = 0.0;\n\n // Compute the average of all values\n for (Number number : this) {\n if (number == null) continue;\n if (Double.isNaN(number.doubleValue())) continue;\n\n sum += number.doubleValue();\n cnt++;\n }\n\n // If we haven't had any element, return 0\n if (cnt == 0) return alternative;\n return sum / cnt;\n }","public int avgTrafficPerDay(){\r\n \r\n int trav=apstate.gettravellers();\r\n\t\tint days=apstate.getdays();\r\n\t\tint items=apstate.getitems();\r\n \r\n int avg_traffic_per_day=trav/days;\r\n \r\n return avg_traffic_per_day;\r\n }","double avg(){\n\t\tdouble sum = 0.0;\n\t\tfor(int i=0;i<num.length;i++)\n\t\t\tsum+=num[i].doubleValue();\n\t\treturn sum/num.length;\n\t}","public static double arrayAverage(double[] array, double arraySize) {\r\n double averages = 0;\r\n for (int x = 0; x < arraySize; x++) {\r\n averages += array[x];\r\n }\r\n averages = (averages / arraySize);\r\n return averages;\r\n }","public double mean()\n {\n return StdStats.mean(open);\n// return StdStats.sum(open) / count;\n }","public static double getAverage(double[] array)\r\n\t{\r\n\t\tdouble sum = Σ(array);\r\n\r\n\t\tif (sum == 0 || array.length == 0)\r\n\t\t\treturn 0;\r\n\t\treturn sum / array.length;\r\n\t}","public static int average(int[]data){\n \n int sum = 0;\n int n = 0;\n for(int i = 0; i < data.length-1; i++) {\n \n n++;\n sum += data[i];\n }\n\n return sum/n;\n }","public double calcAvg() {\n\t\treturn (double)calcSum() / data.size();\n }","public double average()\n\t{\n\t\tif (arraySize > 0)\n\t\t{\n\t\t\tdouble sum = this.sum();\n\t\t\treturn sum / arraySize;\n\t\t}\n\t\tSystem.out.println(\"Syntax error, array is empty.\");\n\t\treturn -1;\n\t}","public static float getMean(float[] weatherArray){\n float mean = getTotal(weatherArray)/weatherArray.length;\n return mean;\n }","private double getAvg() {\n\n double sum = 0;\n\n for (Map.Entry<Integer, Double> entry : values.entrySet()) {\n sum += entry.getValue();\n }\n\n if (values.size() > 0) {\n return sum / values.size();\n } else {\n throw new IllegalStateException(\"no values\");\n }\n }","Execution getAverageExecutions();","public static double average(int[] theArray) {\n\n double answer;\n double sum = IntegerArrays.sum(theArray);\n answer = sum / theArray.length;\n\n return answer;\n\n }","public double getAverageDuration(){\r\n\t\t double sum=0;\r\n\t\t for(int a=0; a<populationSize();a++) {\r\n\t\t\t sum+=getTour(a).getDuration();\r\n\t\t }\r\n\t\t sum=sum/populationSize();\r\n\t\t return sum;\r\n\t }","double average() { // used double b/c I want decimal places\n\t\tint sum = 0;\n\t\tfor (int i = 0; i < array.length; i++) {\n\t\t\tsum = sum + array[i];\n\t\t}\n\t\tdouble average = (double) sum / array.length;\n\t\treturn average;\n\n\t}","public static double average(int[] array) {\n\t\tif (array.length == 0) {\n\t\t\treturn 0;\n\t\t}\n\t\tdouble avg = 0;\n\t\tfor (int i = 0; i < array.length; i++) {\n\t\t\tavg += array[i];\n\t\t}\n\t\treturn avg / array.length;\n\t}","public static double getAverage(int[] array) throws IOException {\r\n double arrayAverage = 0;\r\n arrayAverage = arrayTotal(array) / array.length;\r\n\r\n return arrayAverage;\r\n\r\n }","public void calculateAverage() {\n\n if (turn == 1) {\n p1.setTotalScore(p1.getTotalScore() + turnScore);\n\n p1.setTotalDarts(p1.getTotalDarts() + 1);\n\n float p1Average = p1.getTotalScore() / p1.getTotalDarts();\n p1.setAverage(p1Average);\n\n } else if (turn == 2) {\n p2.setTotalDarts(p2.getTotalDarts() + 1);\n p2.setTotalScore(p2.getTotalScore() + turnScore);\n\n float p2Average = p2.getTotalScore() / p2.getTotalDarts();\n p2.setAverage(p2Average);\n }\n\n\n }","public static double getAvg(String line){\n\t\tString[] parts = line.split(\"\\t\");\n\t\tdouble gamesPlayed = (Integer.parseInt(parts[1])) + (Integer.parseInt(parts[2]));\n\t\tdouble avg = (Integer.parseInt(parts[1])) / gamesPlayed;\n\t\treturn avg;\n\t}","public static double getAverage(Number[] array)\r\n\t{\r\n\t\tdouble sum = Σ(array);\r\n\r\n\t\tif (sum == 0 || array.length == 0)\r\n\t\t\treturn 0;\r\n\t\treturn sum / array.length;\r\n\t}","public double findSla_averageByMonthAndId(Integer year, Integer month, Integer sla_id) {\n\t\tString query = \"select avg(passed_record) from ops.sla_transaction where year(date)=:year and month(date)=:month and sla_id=:sla_id\";\n\t\tSQLQuery sql = getSession().createSQLQuery(query);\n\t\tsql.setParameter(\"year\", year);\n\t\tsql.setParameter(\"month\", month);\n\t\tsql.setParameter(\"sla_id\", sla_id);\t\t\n\t\t\n\t\tDouble tempAvegSla = (Double) sql.uniqueResult();\n\t\t\n\t\treturn tempAvegSla;\n\t}","public void average(){\n\t\tfor(PlayerWealthDataAccumulator w : _wealthData.values()){\n\t\t\tw.average();\n\t\t}\n\t}","public double mean() {\n double total = 0;\n for (int i = 0; i < sites.length; i++) {\n total += sites[i];\n }\n sampleMean = total / size / times;\n return sampleMean;\n }","public double MACD(int slow, int fast, int t)\n {\n if(slow<=fast)\n throw new IndexOutOfBoundsException(\"MACD(\" + slow + \" - \" +\n fast + \") is undefined at time \" + t);\n return expMovingAverage(slow, t) - expMovingAverage(fast, t);\n }","public double getAverage(){\n double total = 0;\n for(double s : scores)total += s;\n return total/scores.length;\n }","public static double meanOf(Iterator<? extends Number> values) {\n/* 407 */ Preconditions.checkArgument(values.hasNext());\n/* 408 */ long count = 1L;\n/* 409 */ double mean = ((Number)values.next()).doubleValue();\n/* 410 */ while (values.hasNext()) {\n/* 411 */ double value = ((Number)values.next()).doubleValue();\n/* 412 */ count++;\n/* 413 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\n/* */ \n/* 415 */ mean += (value - mean) / count; continue;\n/* */ } \n/* 417 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\n/* */ } \n/* */ \n/* 420 */ return mean;\n/* */ }","public void average() {\n\t\tif (averaged)\n\t\t\tthrow new AssertionError(\"can't average twice!!\");\n\t\t\n\t\tscale = 1.0/(double)t;\n\t\t\n\t\tfor (int i = 0; i < w.length; i++)\n\t\t\tw[i] = (t+1.0)*w[i] - wupdates[i];\n\t\t\n\t\taveraged = true;\n\t\n\t}","static double averageDoubleArray(double[] inputArray) {\n\t\tdouble doubleSum = 00.00;\n\t\tfor (double element : inputArray) { \n\t\t\tdoubleSum += element;\n\t\t}\n\t\tdouble average = doubleSum / inputArray.length; \n\t\treturn average;\n\t}","public synchronized double getAverage() {\n return average;\n }","public double cariMean(int[] mean) {\n\t\tint n = mean.length;\n\t\tdouble mea = 0.0;\n\t\tdouble jumlah = 0;\n\n\t\tfor (int i = 0; i < n; i++) {\n\t\t\tjumlah = jumlah + mean[i];\n\t\t}\n\t\tmea = jumlah / n;\n\t\treturn mea;\n\t}","private static double countAverageRun(Runner sportsman) {\n double result = 0;\n for (int i = 0; i < sportsman.getNumberOfRuns(); i++) {\n result += sportsman.getDefiniteRunStat(i);\n }\n\n return result / sportsman.getNumberOfRuns();\n }","public double mean() {\n return StdStats.mean(openSites) / times;\n }","public static double calculateAverage (Scanner read){\n int sum = 0;\n int num;\n while(read.hasNextInt()){\n num = read.nextInt();\n sum += num;\n }\n \n return sum/5.0;\n }","public static double meanVal(int[] sample){\n double total = 0;\n for (int i = 0; i < sample.length; i++){\n total = total + sample[i];\n }\n double mean = total/sample.length;\n return mean;\n }","@Override\n public int[][] getStreakForMonth(CalendarDayModel day) {\n if (day.getMonth() == 7) {\n return streaks;\n }\n return new int[0][];\n }","double computeMAE(int paraK) {\n\t\tdouble tempMae = 0;\n\t\tint tempTotalCount = 0;\n\t\t// Step 1. Predict the distribution\n\t\tfor (int i = 0; i < dataModel.uTeRateInds.length; i++) {\n\t\t\tfor (int j = 0; j < dataModel.uTeRateInds[i].length; j++) {\n\t\t\t\tint[] tempDistribution = predict(i, dataModel.uTeRateInds[i][j], paraK);\n\t\t\t\tif (tempDistribution == null) {\n\t\t\t\t\tcontinue;\n\t\t\t\t} // Of if\n\n\t\t\t\tdouble tempPrediction = 0;\n\t\t\t\tint tempCount = 0;\n\t\t\t\tfor (int k = 0; k < tempDistribution.length; k++) {\n\t\t\t\t\ttempPrediction += tempDistribution[k] * (k + 1);\n\t\t\t\t\ttempCount += tempDistribution[k];\n\t\t\t\t} // Of for k\n\t\t\t\ttempPrediction /= tempCount;\n\n\t\t\t\ttempMae += Math.abs(tempPrediction - dataModel.uTeRatings[i][j]);\n\t\t\t\ttempTotalCount++;\n\t\t\t} // of for\n\t\t} // of for i\n\n\t\tif (tempTotalCount > 1e-6) {\n\t\t\ttempMae /= tempTotalCount;\n\t\t} // of\n\n\t\treturn tempMae;\n\t}","public void calcAvg(){\n\t\taverage = hits/atbat;\n\t\t\n\t}"],"string":"[\n \"@Test\\n\\tpublic void MovingAverage() {\\n\\t\\tList<Double> high = new ArrayList<Double>();\\n\\t\\t// high = highPriceList();\\n\\t\\tfor (Double data2 : high) {\\n\\t\\t\\tSystem.out.println(data2);\\n\\t\\t}\\n\\t\\t// double[] testData = { 1, 2, 3, 4, 5, 5, 4, 3, 2, 1 };\\n\\t\\tint[] windowSizes = { 3 };\\n\\n\\t\\tfor (int windSize : windowSizes) {\\n\\t\\t\\tStock_data_controller ma = new Stock_data_controller();\\n\\t\\t\\tma.Stock_controller(windSize);\\n\\t\\t\\tfor (double x : high) {\\n\\t\\t\\t\\tma.newNum(x);\\n\\t\\t\\t\\tSystem.out.println(\\\"Next number = \\\" + x + \\\", SimpleMovingAvg = \\\" + ma.getAvg());\\n\\t\\t\\t}\\n\\t\\t\\tSystem.out.println();\\n\\t\\t}\\n\\t}\",\n \"private static double calculateMovingAverage(JsArrayNumber history) {\\n double[] vals = new double[history.length()];\\n long size = history.length();\\n double sum = 0.0;\\n double mSum = 0.0;\\n long mCount = 0;\\n\\n // Check for sufficient data\\n if (size >= 8) {\\n // Clone the array and Calculate sum of the values\\n for (int i = 0; i < size; i++) {\\n vals[i] = history.get(i);\\n sum += vals[i];\\n }\\n double mean = sum / size;\\n\\n // Calculate variance for the set\\n double varianceTemp = 0.0;\\n for (int i = 0; i < size; i++) {\\n varianceTemp += Math.pow(vals[i] - mean, 2);\\n }\\n double variance = varianceTemp / size;\\n double standardDev = Math.sqrt(variance);\\n\\n // Standardize the Data\\n for (int i = 0; i < size; i++) {\\n vals[i] = (vals[i] - mean) / standardDev;\\n }\\n\\n // Calculate the average excluding outliers\\n double deviationRange = 2.0;\\n\\n for (int i = 0; i < size; i++) {\\n if (vals[i] <= deviationRange && vals[i] >= -deviationRange) {\\n mCount++;\\n mSum += history.get(i);\\n }\\n }\\n\\n } else {\\n // Calculate the average (not enough data points to remove outliers)\\n mCount = size;\\n for (int i = 0; i < size; i++) {\\n mSum += history.get(i);\\n }\\n }\\n\\n return mSum / mCount;\\n }\",\n \"protected static float[] computeMovingAverage(float[] values, int np) {\\n\\t\\tfloat[] mm = new float[values.length - np];\\n\\t\\tfor (int i = 0; i < mm.length; i++) {\\n\\t\\t\\tfloat sum = 0;\\n\\t\\t\\tfor (int j = 0; j < np; j++) {\\n\\t\\t\\t\\tsum = sum + values[i + j];\\n\\t\\t\\t}\\n\\t\\t\\tmm[i] = sum / np;\\n\\t\\t}\\n\\t\\treturn mm;\\n\\t}\",\n \"public double averageSteps() {\\n if (day==0) return 0;\\n return (double) totalSteps / day;}\",\n \"public MovingAverage(int size) {\\r\\n this.size = size;\\r\\n }\",\n \"public MovingAverage(int size) {\\n value = new int[size];\\n }\",\n \"public static void calculateAverage(double[] inputArray, int limit)\\r\\n\\t{\\r\\n\\t\\tIMovingAverage<Double> movingAvg = new MovingAverageImpl<Double>(limit);\\r\\n\\t\\tfor(double element : inputArray)\\r\\n\\t\\t{\\r\\n\\t\\t\\tmovingAvg.add(element);\\r\\n\\t\\t\\tSystem.out.println(\\\"Moving average is = \\\" +movingAvg.getAverage());\\r\\n\\t\\t}\\r\\n\\t\\tSystem.out.println(\\\"*********************************************************\\\");\\r\\n\\t}\",\n \"public double average(){\\r\\n\\t\\t//create variable to hold the values\\r\\n\\t\\tdouble average = 0;\\r\\n\\t\\t\\r\\n\\t\\tfor (int i = 0; i < this.data.length; i++){\\r\\n\\t\\t\\t//add current index\\r\\n\\t\\t\\taverage += this.data[i];\\r\\n\\t\\t\\t}\\r\\n\\t\\treturn (average/this.data.length);\\r\\n\\t}\",\n \"private double calculateAverage(Candle[] cd) {\\n double sum = 0; \\r\\n for(Candle c : cd) {\\r\\n sum += c.getClose();\\r\\n }\\r\\n return sum/cd.length;\\r\\n \\r\\n }\",\n \"@Test\\r\\n\\tpublic void exerciseMovingAverage() {\\n\\t\\tList<Integer> temparaturArray = Arrays.asList(8, 7, 6, 6, 7, 7, 8, 10, 13, 16, 10, 20, 23, 26, 30, 29, 27, 45, 24, 23, 20, 18, 15, 11);\\r\\n\\t\\tObservable<Integer> temparaturSequence = Observable\\r\\n\\t\\t\\t\\t.interval(0, 1L, TimeUnit.HOURS, testScheduler)\\r\\n\\t\\t\\t\\t.take(temparaturArray.size())\\r\\n\\t\\t\\t\\t.map(i -> temparaturArray.get(i.intValue()));\\r\\n\\t\\t\\r\\n\\t\\t// TODO: calculate the moving average (SMA) of the given temperature sequence (each hour of a single day).\\r\\n\\t\\t// use the previous three values for each data point.\\r\\n // HINT: use a suitable overload of the same method used in \\\"Batching\\\"\\r\\n // and then calculate the average of each batch using LINQ\\r\\n // HINT: don't forget to pass the scheduler\\r\\n\\t\\tObservable<Double> movingAverage = Observable.empty();\\r\\n\\r\\n\\t\\t// verify\\r\\n\\t\\tTestSubscriber<Double> testSubscriber = new TestSubscriber<>();\\r\\n\\t\\tmovingAverage.subscribe(testSubscriber);\\r\\n\\r\\n\\t\\t// let the time elapse until completion\\r\\n\\t\\ttestScheduler.advanceTimeBy(1, TimeUnit.DAYS);\\r\\n\\t\\t\\r\\n\\t\\tlog(testSubscriber.getOnNextEvents());\\r\\n\\t\\t\\r\\n\\t\\ttestSubscriber.assertNoErrors();\\r\\n\\t\\ttestSubscriber.assertCompleted();\\r\\n\\t\\t\\r\\n\\t\\t// expected values:\\r\\n\\t\\tList<Double> expected = Arrays.asList(\\r\\n\\t\\t\\t\\t7.0, 6.333333333333333, 6.333333333333333, 6.666666666666667, 7.333333333333333, \\r\\n\\t\\t\\t\\t8.333333333333334, 10.333333333333334, 13.0, 13.0, 15.333333333333334, \\r\\n\\t\\t\\t\\t17.666666666666668, 23.0, 26.333333333333332, 28.333333333333332, \\r\\n\\t\\t\\t\\t28.666666666666668, 33.666666666666664, 32.0, 30.666666666666668, \\r\\n\\t\\t\\t\\t22.333333333333332, 20.333333333333332, 17.666666666666668, 14.666666666666666, \\r\\n\\t\\t\\t\\t// the last two values have limited input, i.e.\\r\\n\\t\\t\\t\\t// (15+11)/2 and (11)/1\\r\\n\\t\\t\\t\\t13.0, 11.0);\\r\\n\\t\\ttestSubscriber.assertReceivedOnNext(expected);\\r\\n\\t\\t\\r\\n\\t}\",\n \"public double averageDayDriveDistance(String day)\\n\\t{\\n\\t\\tint dayCount = 0; //total days run through\\n\\t\\tString currentDate = \\\"\\\";\\n\\t\\tdouble totalDistance = 0;\\n\\t\\tfor(int i = 0; i < saveData.size(); i++)\\n\\t\\t{\\n\\t\\t\\t//figures out the number of days, then averages the total by that number\\n\\t\\t\\tif(day.equals(saveData.get(i).get(\\\"day\\\")))\\n\\t\\t\\t{\\n\\t\\t\\t\\tif(currentDate.equals(\\\"\\\"))\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t//if there is no current date, we must have just started; set the variable\\n\\t\\t\\t\\t\\tcurrentDate = saveData.get(i).get(\\\"date\\\"); //.get(\\\"date\\\") to be replaced\\n\\t\\t\\t\\t\\ttotalDistance += saveData.get(i).get(\\\"distance\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse if(currentDate.equals(saveData.get(i).get(\\\"date\\\")))\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t//it's the same date, so add this distance to the total distance\\n\\t\\t\\t\\t\\ttotalDistance += saveData.get(i).get(\\\"distance\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t//it's a different date, so set the currentDate to this one,\\n\\t\\t\\t\\t\\t//increment the days counter;\\n\\t\\t\\t\\t\\tcurrentDate = saveData.get(i).get(\\\"date\\\");\\n\\t\\t\\t\\t\\tdayCount++;\\n\\t\\t\\t\\t\\t//add this drive to the total distance\\n\\t\\t\\t\\t\\ttotalDistance += saveData.get(i).get(\\\"distance\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t}\\n\\t\\t//after all the indexes of saveData have been run through\\n\\t\\t//clean up by increment the days counter\\n\\t\\tdayCount++;\\n\\t\\t//get the average by dividing the total distance by the days\\n\\t\\tdouble averageDistancePerDay = this.totalDriveDistance()/dayCount;\\n\\t}\",\n \"public static void calculateAverage(int[] inputArray, int limit)\\r\\n\\t{\\r\\n\\t\\tIMovingAverage<Integer> movingAvg = new MovingAverageImpl<Integer>(limit);\\r\\n\\t\\tfor(int element : inputArray)\\r\\n\\t\\t{\\r\\n\\t\\t\\tmovingAvg.add(element);\\r\\n\\t\\t\\tSystem.out.println(\\\"Moving average is = \\\" +movingAvg.getAverage());\\r\\n\\t\\t}\\r\\n\\t\\tSystem.out.println(\\\"*********************************************************\\\");\\r\\n\\t}\",\n \"public MovingAveragefromDataStream(int size) {\\n this.size = size;\\n }\",\n \"static double average(double[] data){\\n\\n // Initializing total placeholder \\n double total = 0;\\n\\n // Traversing data array and adding to total sum\\n for (double d : data) {\\n total += d;\\n }\\n\\n // Computing average\\n double average = (double) total / data.length;\\n\\n return average;\\n }\",\n \"double average();\",\n \"public double getAvg(){\\n double avg=0;\\n for(int x=0; x<max; x++){\\n avg=avg+times[x];\\n }\\n avg=avg/max;\\n return avg;\\n }\",\n \"public double MACDSignal(int t)\\n {\\n Series macd = new Series();\\n macd.x = new double[macd.size = t + 1];\\n for(int i = 0; i<=t; i++)\\n macd.x[i] = MACD(i);\\n return macd.expMovingAverage(9, t);\\n }\",\n \"public static double average(double[] array){\\n double sum = 0;\\n for (int i = 0; i < array.length; i++) {\\n sum += array[i];\\n }\\n return sum/array.length;\\n }\",\n \"public static float[] returnMeanArray (float[] weatherArray){\\n float[] meanArray = new float[12];\\n for (int i = 0; i < 12; i++){\\n meanArray[i] = weatherArray[i]/30;\\n }\\n return meanArray;\\n }\",\n \"public static double meanOf(double... values) {\\n/* 433 */ Preconditions.checkArgument((values.length > 0));\\n/* 434 */ double mean = values[0];\\n/* 435 */ for (int index = 1; index < values.length; index++) {\\n/* 436 */ double value = values[index];\\n/* 437 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\\n/* */ \\n/* 439 */ mean += (value - mean) / (index + 1);\\n/* */ } else {\\n/* 441 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\\n/* */ } \\n/* */ } \\n/* 444 */ return mean;\\n/* */ }\",\n \"public static double getAverage(int start, double[] d) {\\n double average = 0;\\n for (int i = 0; i < 110; i++) {\\n average = average + d[i];\\n }\\n return average / 110;\\n }\",\n \"private float calculateMean()\\n { \\n int numberEmployees = employees.size();\\n float total = 0, meanGrossPay = 0;\\n // Create an array of all gross pays\\n float[] allGrossPay = new float[numberEmployees];\\n \\n // Call method to return an array of float containing all gross pays\\n allGrossPay = calculateAllGrossPay();\\n // Find total gross pay\\n for (int i = 0; i < numberEmployees; i++)\\n {\\n total += allGrossPay[i];\\n }\\n // Find mean and return it\\n if (numberEmployees > 0)\\n {\\n meanGrossPay = total/numberEmployees;\\n \\n }\\n return meanGrossPay;\\n }\",\n \"public MovingAverage(int size) {\\n q = new LinkedList();\\n this.size = size;\\n sum = 0;\\n }\",\n \"@Test\\n\\tpublic void averageWorksForModeSteps() {\\n\\t\\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\\n\\t\\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 10, 0)); // constant function = 10\\n\\t\\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\\n\\t\\tt1.addValues(TimeSeriesUtils.createStepFunction(5, 20, 25, 20, 0)); // constant function = 20\\n\\t\\tt0.setInterpolationMode(InterpolationMode.STEPS);\\n\\t\\tt1.setInterpolationMode(InterpolationMode.STEPS);\\n\\t\\tfinal ReadOnlyTimeSeries avg = MultiTimeSeriesUtils.getAverageTimeSeries(Arrays.<ReadOnlyTimeSeries> asList(t0, t1), 0, Long.MAX_VALUE, true, null, false);\\n\\t\\t// one data point outside time range, one boundary value should be added\\n\\t\\tAssert.assertEquals(\\\"Time series sum has wrong number of data points\\\", 13, avg.size());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 10, avg.getValue(7).getValue().getIntegerValue());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 15, avg.getValue(23).getValue().getIntegerValue());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 15, avg.getValue(100).getValue().getIntegerValue());\\n\\t}\",\n \"public static double meanOf(int... values) {\\n/* 457 */ Preconditions.checkArgument((values.length > 0));\\n/* 458 */ double mean = values[0];\\n/* 459 */ for (int index = 1; index < values.length; index++) {\\n/* 460 */ double value = values[index];\\n/* 461 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\\n/* */ \\n/* 463 */ mean += (value - mean) / (index + 1);\\n/* */ } else {\\n/* 465 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\\n/* */ } \\n/* */ } \\n/* 468 */ return mean;\\n/* */ }\",\n \"public static double avg(double[] array) {\\r\\n\\t\\tdouble ret = sum(array);\\r\\n\\t\\treturn ret / array.length;\\r\\n\\t}\",\n \"public void updateSMA(){\\n audioInput.read(audioBuffer, 0, bufferSize);\\n Complex [] FFTarr = doFFT(shortToDouble(audioBuffer));\\n FFTarr = bandPassFilter(FFTarr);\\n double sum = 0;\\n for(int i = 0; i<FFTarr.length;i++){\\n sum+=Math.abs(FFTarr[i].re()); // take the absolute value of the FFT raw value\\n }\\n double bandPassAverage = sum/FFTarr.length;\\n Log.d(LOGTAG, \\\"bandPassAverage: \\\" + bandPassAverage);\\n\\n //Cut out loud samples, otherwise compute rolling average as usual\\n if(bandPassAverage>THROW_OUT_THRESHOLD){\\n mySMA.compute(mySMA.currentAverage());\\n }else {\\n mySMA.compute(bandPassAverage);\\n }\\n }\",\n \"public double getMean() {\\n double timeWeightedSum = 0;\\n\\n for (int i = 0; i < accumulate.size() - 1; i++) {\\n timeWeightedSum += accumulate.get(i).value\\n * (accumulate.get(i + 1).timeOfChange\\n - accumulate.get(i).timeOfChange);\\n\\n }\\n LOG_HANDLER.logger.finer(\\\"timeWeightedSum Value: \\\" + timeWeightedSum\\n + \\\"totalOfQuueueEntries: \\\" + totalOfQueueEntries);\\n return timeWeightedSum / totalOfQueueEntries;\\n }\",\n \"public static void main(String[] args) {\\r\\n double d = 3.5;\\r\\n int i = 2;\\r\\n System.out.println(d/i);\\r\\n MovingAverage movingAverage = new A0346MovingAveragefromDataStream().new MovingAverage(3);\\r\\n System.out.println(movingAverage.next(1));\\r\\n System.out.println(movingAverage.next(10));\\r\\n System.out.println(movingAverage.next(3));\\r\\n System.out.println(movingAverage.next(5));\\r\\n }\",\n \"public double arithmeticalMean(double[] arr) {\\n return 0;\\n }\",\n \"public Series removeDelayedTrend(int depth)\\n {\\n if(depth<1 || depth>=size)\\n throw new IndexOutOfBoundsException();\\n Series oscillator = new Series();\\n oscillator.x = new double[oscillator.size = size - depth];\\n if(oscillator.size>1)\\n oscillator.r = new double[oscillator.size - 1];\\n for(int t = 0; t<oscillator.size; t++)\\n {\\n oscillator.x[t] = x[t + depth] - movingAverage(depth, t + depth);\\n if(t>0)\\n oscillator.r[t - 1] = Math.log(oscillator.x[t]/oscillator.x[t - 1]);\\n }\\n return oscillator;\\n }\",\n \"public TimeDecayingAverage(double phi, double average) {\\n setPhi(phi);\\n this.average = average;\\n }\",\n \"public double getMean() \\r\\n\\t{\\r\\n\\t\\tlong tmp = lastSampleTime - firstSampleTime;\\r\\n\\t\\treturn ( tmp > 0 ? sumPowerOne / (double) tmp : 0);\\r\\n\\t}\",\n \"public double average() {\\n return average(0.0);\\n }\",\n \"public double averageTempForMonth(int month, int year) {\\r\\n int count = 0;\\r\\n double total = 0;\\r\\n double average;\\r\\n for(DailyWeatherReport report : dailyReports){\\r\\n if((report.getDate().get(GregorianCalendar.MONTH) == month) && (report.getDate() .get(GregorianCalendar.YEAR) == year)) {\\r\\n total += report.takeTempAvg();\\r\\n count++;\\r\\n }\\r\\n }\\r\\n if(total != 0){\\r\\n average = total / count;\\r\\n return average;\\r\\n }\\r\\n average = 0;\\r\\n return average;\\r\\n }\",\n \"double average(double[] doubles) {\\n double total = 0.0;\\n //int count = 0;\\n for (double d: doubles) {\\n total = total + d;\\n //count = count + 1;\\n }\\n //return total / count;\\n return total / doubles.length;\\n }\",\n \"public int average()\\n {\\n int average = 0;\\n int sum = 0;\\n\\n for ( int index = 0; index < data.length; index++ )\\n {\\n sum = sum + data[index];\\n }\\n average = sum / data.length;\\n\\n return average;\\n }\",\n \"public static double doAvgTurnAroundTime() {\\n if (count >= 1) {\\n return turnaroundTimeTotal / count;\\n } else {\\n return -1;\\n }\\n }\",\n \"public double expMovingAverage(int periods, int t)\\n {\\n if(periods<1)\\n throw new IndexOutOfBoundsException(\\\"EMA(\\\" + periods + \\\") is undefined at time \\\" + t);\\n double alpha = 2.0/(periods + 1);\\n double ema = 0.0;\\n for(int i = 0; i<=t; i++)\\n ema += alpha*(x[i] - ema);\\n return ema;\\n }\",\n \"void printAverageMeasurement(Station station, Sensor sensor, LocalDateTime since, LocalDateTime until, double average);\",\n \"public double averageOfArray() {\\n double sum = 0;\\n double average = 0;\\n int i;\\n for (i = 0; i < sirDeLa1La100.length; i++) {\\n sum = sum + sirDeLa1La100[i];\\n }\\n average = sum / sirDeLa1La100.length;\\n return average;\\n }\",\n \"public double getAverage(){\\n return getTotal()/array.length;\\n }\",\n \"public static double averageOfNumbers(int n) {\\n Scanner keyedInput = new Scanner(System.in);\\n\\n double total = 0;\\n double[] values = new double[n];\\n\\n System.out.println(\\\"Please enter your values:\\\");\\n for (int i = 0; i < n; i = i + 1) {\\n values[i] = keyedInput.nextDouble();\\n total = total + values[i];\\n }\\n double a = (double) Math.round((total / n) * 100) / 100;\\n return a;\\n }\",\n \"private float averageBeat(){\\n float avgBeat = 0f;\\n List<Float> beatRed = DataManager.getInstance().getBeatRed();\\n List<Float> beatIR = DataManager.getInstance().getBeatIR();\\n\\n for(int i = 0; i < beatRed.size() && i < beatIR.size(); i ++ ){\\n chartFragment.addRedData(beatRed.get(i));\\n chartFragment.addIRData(beatIR.get(i));\\n avgBeat += beatRed.get(i);\\n avgBeat += beatIR.get(i);\\n }\\n avgBeat = avgBeat / (beatRed.size() + beatIR.size());\\n\\n if (tcpTask != null )\\n this.tcpTask.addData(\\\"\\\" + avgBeat);\\n beatLabel.setText(\\\"Beat : \\\" + avgBeat);\\n return avgBeat;\\n }\",\n \"public Double computeAverage(){\\n\\t\\tdouble total = 0; //double used to keep total value of elements in arr to determine average\\n\\t\\t\\n\\t\\tfor(int i = 0; i < arr.length; i++)//loop through array and add the total\\n\\t\\t{\\n\\t\\t\\ttotal += arr[i].doubleValue(); //add current value of element in arr to total's value\\n\\t\\t}\\n\\t\\t\\n\\t\\tDouble result = total/arr.length; //returns the average as a Double\\n\\t\\t\\n\\t\\treturn result;\\n\\t}\",\n \"public static double rollingAvg(double value, double newEntry, double n, double weighting ) {\\r\\n return (value * n + newEntry * weighting)/(n + weighting);\\r\\n }\",\n \"public double mean()\\n {\\n double sum = 0.0;\\n for(int t = 0; t<size; t++)\\n sum += x[t];\\n return sum/size;\\n }\",\n \"public double mean(double data[]) {\\r\\n\\t\\tdouble mean = 0;\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tfor(int i=0;i<data.length;i++) {\\r\\n\\t\\t\\t\\tmean =mean+data[i];\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tmean = mean / data.length;\\r\\n\\t\\t}\\r\\n\\t\\tcatch(Exception e) {\\r\\n\\t\\t\\tDataMaster.logger.warning(e.toString());\\r\\n\\t\\t\\t//e.printStackTrace();\\r\\n\\t\\t}\\r\\n\\t\\treturn mean;\\r\\n\\t}\",\n \"private void PeriodMeanEvaluation () {\\n\\n float x = 0;\\n for(int i = 0; i < 3; i++)\\n {\\n for(int j = 0; j < numberOfSample; j++)\\n {\\n x = x + singleFrame[j][i];\\n }\\n meanOfPeriodCoord[i] = (x/numberOfSample);\\n x = 0;\\n }\\n }\",\n \"public static double meanOf(long... values) {\\n/* 482 */ Preconditions.checkArgument((values.length > 0));\\n/* 483 */ double mean = values[0];\\n/* 484 */ for (int index = 1; index < values.length; index++) {\\n/* 485 */ double value = values[index];\\n/* 486 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\\n/* */ \\n/* 488 */ mean += (value - mean) / (index + 1);\\n/* */ } else {\\n/* 490 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\\n/* */ } \\n/* */ } \\n/* 493 */ return mean;\\n/* */ }\",\n \"public ArrayList<Forecast> getForecastsForDay( int day ) {\\n if (forecasts.size() == 0) {\\n return null;\\n }\\n\\n int startIndex = 0;\\n int endIndex = 0;\\n\\n if (day < 8) {\\n startIndex = dayIndices[day];\\n }\\n\\n if (startIndex == -1) {\\n return null;\\n }\\n\\n if (day < 7) {\\n endIndex = dayIndices[day+1];\\n if (endIndex < 0) {\\n endIndex = forecasts.size();\\n }\\n } else {\\n endIndex = forecasts.size();\\n }\\n\\n return new ArrayList<>(forecasts.subList(startIndex, endIndex));\\n }\",\n \"public double average(){\\n double avg = 0;\\n double sum = 0;\\n for (T t : arr) {\\n // sum += t.doubleValue();\\n }\\n\\n return sum / arr.length;\\n }\",\n \"static double calculateAverage(int[] array) {\\n\\n double sum = 0;\\n\\n for (int i = 0; i < array.length; i++) {\\n\\n sum = sum + (double) array[i];\\n\\n\\n }\\n\\n return sum / array.length;//returning average\\n\\n }\",\n \"private void calculateMean(float total){\\r\\n float averageBonds = total/accountInTotal;\\r\\n float averageAER = (averageBonds-startingBonds)/(startingBonds/100);\\r\\n\\r\\n Account averageAccount = new Account(startingBonds,averageBonds,averageAER);\\r\\n System.out.println(averageAccount.toString());\\r\\n\\r\\n }\",\n \"private int getMean(int[] times) {\\n\\n\\t\\t//Initialise mean and sum to 0\\n\\t\\tint mean = 0;\\n\\t\\tint sum = 0;\\n\\n\\t\\t//Loop through all the times\\n\\t\\tfor (int i = 0; i < times.length; i++) {\\n\\n\\t\\t\\t//Add to the sum\\n\\t\\t\\tsum += times[i];\\n\\t\\t}\\n\\n\\t\\t//Calculate and return the mean\\n\\t\\tmean = sum/times.length;\\n\\t\\treturn mean;\\n\\t}\",\n \"public double getMean(final int d) {\\n double sum = 0;\\n int numPoints = getNumPoints();\\n\\n for (int i = 0; i < numPoints; i++) {\\n sum += getComponent(i, d);\\n }\\n\\n return sum / numPoints;\\n }\",\n \"public static Double computeMean(Double[] values) {\\n\\t\\treturn computeMean(values, 0, values.length);\\n\\t}\",\n \"public void setMovingAverageSamples(int count)\\n {\\n NumAvgSamples = count;\\n }\",\n \"public double averageTempForMonth(int month, int year) {\\n\\t\\tdouble sum = 0;\\n\\t\\tint count = 0;\\n\\t\\tfor(DailyWeatherReport report: reports.getReportsForMonth(month, year)) {\\n\\t\\t\\tsum += report.avgTempForDay();\\n\\t\\t\\tcount++;\\n\\t\\t}\\n\\t\\tif(count == 0) return 0;\\n\\t\\treturn sum / count;\\n\\t}\",\n \"@Override\\n public Double average() {\\n return (sum() / (double) count());\\n }\",\n \"public static double getAverage(double[][] array)\\r\\n\\t{\\r\\n\\t\\tint count = 0;\\r\\n\\t\\tList<Double> lineSumList = new ArrayList<Double>();\\r\\n\\t\\tfor( int i = 0; i < array.length; i++ ) {\\r\\n\\t\\t\\tdouble lineSum = Σ(array[i]);\\r\\n\\t\\t\\tlineSumList.add(lineSum);\\r\\n\\t\\t\\tcount += array[i].length;\\r\\n\\t\\t}\\r\\n\\t\\tdouble sum = Σ(lineSumList);\\r\\n\\t\\t\\r\\n\\t\\tif (sum == 0 || array.length == 0)\\r\\n\\t\\t\\treturn 0;\\r\\n\\t\\treturn sum / count;\\r\\n\\t}\",\n \"public static double getAverage(double[] dataArray) {\\n\\t\\t\\n\\t\\tdouble average = 0.0;\\n\\t\\t\\n\\t\\tfor (int i = 0; i <dataArray.length; i++) {\\n\\t\\t\\taverage += dataArray[i];\\n\\t\\t}\\n\\t\\t\\n\\t\\taverage = average/dataArray.length;\\n\\t\\t\\n\\t\\treturn average;\\n\\t}\",\n \"private Double getMean(Double[] values) {\\n double sum = 0;\\n int count = 0;\\n for (Double d: values) {\\n if (d != null) {\\n sum += d;\\n ++count;\\n }\\n }\\n return count == 0 ? null : (sum / count);\\n }\",\n \"public double average(double alternative) {\\n int cnt = 0;\\n double sum = 0.0;\\n\\n // Compute the average of all values\\n for (Number number : this) {\\n if (number == null) continue;\\n if (Double.isNaN(number.doubleValue())) continue;\\n\\n sum += number.doubleValue();\\n cnt++;\\n }\\n\\n // If we haven't had any element, return 0\\n if (cnt == 0) return alternative;\\n return sum / cnt;\\n }\",\n \"public int avgTrafficPerDay(){\\r\\n \\r\\n int trav=apstate.gettravellers();\\r\\n\\t\\tint days=apstate.getdays();\\r\\n\\t\\tint items=apstate.getitems();\\r\\n \\r\\n int avg_traffic_per_day=trav/days;\\r\\n \\r\\n return avg_traffic_per_day;\\r\\n }\",\n \"double avg(){\\n\\t\\tdouble sum = 0.0;\\n\\t\\tfor(int i=0;i<num.length;i++)\\n\\t\\t\\tsum+=num[i].doubleValue();\\n\\t\\treturn sum/num.length;\\n\\t}\",\n \"public static double arrayAverage(double[] array, double arraySize) {\\r\\n double averages = 0;\\r\\n for (int x = 0; x < arraySize; x++) {\\r\\n averages += array[x];\\r\\n }\\r\\n averages = (averages / arraySize);\\r\\n return averages;\\r\\n }\",\n \"public double mean()\\n {\\n return StdStats.mean(open);\\n// return StdStats.sum(open) / count;\\n }\",\n \"public static double getAverage(double[] array)\\r\\n\\t{\\r\\n\\t\\tdouble sum = Σ(array);\\r\\n\\r\\n\\t\\tif (sum == 0 || array.length == 0)\\r\\n\\t\\t\\treturn 0;\\r\\n\\t\\treturn sum / array.length;\\r\\n\\t}\",\n \"public static int average(int[]data){\\n \\n int sum = 0;\\n int n = 0;\\n for(int i = 0; i < data.length-1; i++) {\\n \\n n++;\\n sum += data[i];\\n }\\n\\n return sum/n;\\n }\",\n \"public double calcAvg() {\\n\\t\\treturn (double)calcSum() / data.size();\\n }\",\n \"public double average()\\n\\t{\\n\\t\\tif (arraySize > 0)\\n\\t\\t{\\n\\t\\t\\tdouble sum = this.sum();\\n\\t\\t\\treturn sum / arraySize;\\n\\t\\t}\\n\\t\\tSystem.out.println(\\\"Syntax error, array is empty.\\\");\\n\\t\\treturn -1;\\n\\t}\",\n \"public static float getMean(float[] weatherArray){\\n float mean = getTotal(weatherArray)/weatherArray.length;\\n return mean;\\n }\",\n \"private double getAvg() {\\n\\n double sum = 0;\\n\\n for (Map.Entry<Integer, Double> entry : values.entrySet()) {\\n sum += entry.getValue();\\n }\\n\\n if (values.size() > 0) {\\n return sum / values.size();\\n } else {\\n throw new IllegalStateException(\\\"no values\\\");\\n }\\n }\",\n \"Execution getAverageExecutions();\",\n \"public static double average(int[] theArray) {\\n\\n double answer;\\n double sum = IntegerArrays.sum(theArray);\\n answer = sum / theArray.length;\\n\\n return answer;\\n\\n }\",\n \"public double getAverageDuration(){\\r\\n\\t\\t double sum=0;\\r\\n\\t\\t for(int a=0; a<populationSize();a++) {\\r\\n\\t\\t\\t sum+=getTour(a).getDuration();\\r\\n\\t\\t }\\r\\n\\t\\t sum=sum/populationSize();\\r\\n\\t\\t return sum;\\r\\n\\t }\",\n \"double average() { // used double b/c I want decimal places\\n\\t\\tint sum = 0;\\n\\t\\tfor (int i = 0; i < array.length; i++) {\\n\\t\\t\\tsum = sum + array[i];\\n\\t\\t}\\n\\t\\tdouble average = (double) sum / array.length;\\n\\t\\treturn average;\\n\\n\\t}\",\n \"public static double average(int[] array) {\\n\\t\\tif (array.length == 0) {\\n\\t\\t\\treturn 0;\\n\\t\\t}\\n\\t\\tdouble avg = 0;\\n\\t\\tfor (int i = 0; i < array.length; i++) {\\n\\t\\t\\tavg += array[i];\\n\\t\\t}\\n\\t\\treturn avg / array.length;\\n\\t}\",\n \"public static double getAverage(int[] array) throws IOException {\\r\\n double arrayAverage = 0;\\r\\n arrayAverage = arrayTotal(array) / array.length;\\r\\n\\r\\n return arrayAverage;\\r\\n\\r\\n }\",\n \"public void calculateAverage() {\\n\\n if (turn == 1) {\\n p1.setTotalScore(p1.getTotalScore() + turnScore);\\n\\n p1.setTotalDarts(p1.getTotalDarts() + 1);\\n\\n float p1Average = p1.getTotalScore() / p1.getTotalDarts();\\n p1.setAverage(p1Average);\\n\\n } else if (turn == 2) {\\n p2.setTotalDarts(p2.getTotalDarts() + 1);\\n p2.setTotalScore(p2.getTotalScore() + turnScore);\\n\\n float p2Average = p2.getTotalScore() / p2.getTotalDarts();\\n p2.setAverage(p2Average);\\n }\\n\\n\\n }\",\n \"public static double getAvg(String line){\\n\\t\\tString[] parts = line.split(\\\"\\\\t\\\");\\n\\t\\tdouble gamesPlayed = (Integer.parseInt(parts[1])) + (Integer.parseInt(parts[2]));\\n\\t\\tdouble avg = (Integer.parseInt(parts[1])) / gamesPlayed;\\n\\t\\treturn avg;\\n\\t}\",\n \"public static double getAverage(Number[] array)\\r\\n\\t{\\r\\n\\t\\tdouble sum = Σ(array);\\r\\n\\r\\n\\t\\tif (sum == 0 || array.length == 0)\\r\\n\\t\\t\\treturn 0;\\r\\n\\t\\treturn sum / array.length;\\r\\n\\t}\",\n \"public double findSla_averageByMonthAndId(Integer year, Integer month, Integer sla_id) {\\n\\t\\tString query = \\\"select avg(passed_record) from ops.sla_transaction where year(date)=:year and month(date)=:month and sla_id=:sla_id\\\";\\n\\t\\tSQLQuery sql = getSession().createSQLQuery(query);\\n\\t\\tsql.setParameter(\\\"year\\\", year);\\n\\t\\tsql.setParameter(\\\"month\\\", month);\\n\\t\\tsql.setParameter(\\\"sla_id\\\", sla_id);\\t\\t\\n\\t\\t\\n\\t\\tDouble tempAvegSla = (Double) sql.uniqueResult();\\n\\t\\t\\n\\t\\treturn tempAvegSla;\\n\\t}\",\n \"public void average(){\\n\\t\\tfor(PlayerWealthDataAccumulator w : _wealthData.values()){\\n\\t\\t\\tw.average();\\n\\t\\t}\\n\\t}\",\n \"public double mean() {\\n double total = 0;\\n for (int i = 0; i < sites.length; i++) {\\n total += sites[i];\\n }\\n sampleMean = total / size / times;\\n return sampleMean;\\n }\",\n \"public double MACD(int slow, int fast, int t)\\n {\\n if(slow<=fast)\\n throw new IndexOutOfBoundsException(\\\"MACD(\\\" + slow + \\\" - \\\" +\\n fast + \\\") is undefined at time \\\" + t);\\n return expMovingAverage(slow, t) - expMovingAverage(fast, t);\\n }\",\n \"public double getAverage(){\\n double total = 0;\\n for(double s : scores)total += s;\\n return total/scores.length;\\n }\",\n \"public static double meanOf(Iterator<? extends Number> values) {\\n/* 407 */ Preconditions.checkArgument(values.hasNext());\\n/* 408 */ long count = 1L;\\n/* 409 */ double mean = ((Number)values.next()).doubleValue();\\n/* 410 */ while (values.hasNext()) {\\n/* 411 */ double value = ((Number)values.next()).doubleValue();\\n/* 412 */ count++;\\n/* 413 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\\n/* */ \\n/* 415 */ mean += (value - mean) / count; continue;\\n/* */ } \\n/* 417 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\\n/* */ } \\n/* */ \\n/* 420 */ return mean;\\n/* */ }\",\n \"public void average() {\\n\\t\\tif (averaged)\\n\\t\\t\\tthrow new AssertionError(\\\"can't average twice!!\\\");\\n\\t\\t\\n\\t\\tscale = 1.0/(double)t;\\n\\t\\t\\n\\t\\tfor (int i = 0; i < w.length; i++)\\n\\t\\t\\tw[i] = (t+1.0)*w[i] - wupdates[i];\\n\\t\\t\\n\\t\\taveraged = true;\\n\\t\\n\\t}\",\n \"static double averageDoubleArray(double[] inputArray) {\\n\\t\\tdouble doubleSum = 00.00;\\n\\t\\tfor (double element : inputArray) { \\n\\t\\t\\tdoubleSum += element;\\n\\t\\t}\\n\\t\\tdouble average = doubleSum / inputArray.length; \\n\\t\\treturn average;\\n\\t}\",\n \"public synchronized double getAverage() {\\n return average;\\n }\",\n \"public double cariMean(int[] mean) {\\n\\t\\tint n = mean.length;\\n\\t\\tdouble mea = 0.0;\\n\\t\\tdouble jumlah = 0;\\n\\n\\t\\tfor (int i = 0; i < n; i++) {\\n\\t\\t\\tjumlah = jumlah + mean[i];\\n\\t\\t}\\n\\t\\tmea = jumlah / n;\\n\\t\\treturn mea;\\n\\t}\",\n \"private static double countAverageRun(Runner sportsman) {\\n double result = 0;\\n for (int i = 0; i < sportsman.getNumberOfRuns(); i++) {\\n result += sportsman.getDefiniteRunStat(i);\\n }\\n\\n return result / sportsman.getNumberOfRuns();\\n }\",\n \"public double mean() {\\n return StdStats.mean(openSites) / times;\\n }\",\n \"public static double calculateAverage (Scanner read){\\n int sum = 0;\\n int num;\\n while(read.hasNextInt()){\\n num = read.nextInt();\\n sum += num;\\n }\\n \\n return sum/5.0;\\n }\",\n \"public static double meanVal(int[] sample){\\n double total = 0;\\n for (int i = 0; i < sample.length; i++){\\n total = total + sample[i];\\n }\\n double mean = total/sample.length;\\n return mean;\\n }\",\n \"@Override\\n public int[][] getStreakForMonth(CalendarDayModel day) {\\n if (day.getMonth() == 7) {\\n return streaks;\\n }\\n return new int[0][];\\n }\",\n \"double computeMAE(int paraK) {\\n\\t\\tdouble tempMae = 0;\\n\\t\\tint tempTotalCount = 0;\\n\\t\\t// Step 1. Predict the distribution\\n\\t\\tfor (int i = 0; i < dataModel.uTeRateInds.length; i++) {\\n\\t\\t\\tfor (int j = 0; j < dataModel.uTeRateInds[i].length; j++) {\\n\\t\\t\\t\\tint[] tempDistribution = predict(i, dataModel.uTeRateInds[i][j], paraK);\\n\\t\\t\\t\\tif (tempDistribution == null) {\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\t} // Of if\\n\\n\\t\\t\\t\\tdouble tempPrediction = 0;\\n\\t\\t\\t\\tint tempCount = 0;\\n\\t\\t\\t\\tfor (int k = 0; k < tempDistribution.length; k++) {\\n\\t\\t\\t\\t\\ttempPrediction += tempDistribution[k] * (k + 1);\\n\\t\\t\\t\\t\\ttempCount += tempDistribution[k];\\n\\t\\t\\t\\t} // Of for k\\n\\t\\t\\t\\ttempPrediction /= tempCount;\\n\\n\\t\\t\\t\\ttempMae += Math.abs(tempPrediction - dataModel.uTeRatings[i][j]);\\n\\t\\t\\t\\ttempTotalCount++;\\n\\t\\t\\t} // of for\\n\\t\\t} // of for i\\n\\n\\t\\tif (tempTotalCount > 1e-6) {\\n\\t\\t\\ttempMae /= tempTotalCount;\\n\\t\\t} // of\\n\\n\\t\\treturn tempMae;\\n\\t}\",\n \"public void calcAvg(){\\n\\t\\taverage = hits/atbat;\\n\\t\\t\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6104358","0.6029362","0.5758788","0.5700185","0.56716883","0.5554278","0.5480909","0.53541315","0.53469783","0.5338232","0.5322921","0.51918405","0.5174072","0.51092106","0.49829495","0.4951872","0.49417424","0.49314085","0.48986727","0.4876008","0.4874314","0.48491374","0.48340732","0.48122498","0.4811792","0.48105845","0.47793886","0.47763678","0.4776004","0.47570932","0.47492695","0.47491744","0.47455147","0.47352558","0.47264904","0.47210047","0.47194114","0.47185272","0.46958753","0.4694738","0.4692315","0.46904016","0.46849152","0.46778497","0.46774712","0.46718898","0.4671279","0.46682474","0.46677533","0.46550444","0.46491987","0.46432558","0.46412584","0.4634538","0.4634536","0.46254933","0.4622875","0.4622218","0.46197024","0.46169165","0.4616681","0.45943558","0.458862","0.4581178","0.45781347","0.45721146","0.45717984","0.45706004","0.45661038","0.45612398","0.45533216","0.4552257","0.45445615","0.45428064","0.45359755","0.45352462","0.45338225","0.45286804","0.45285624","0.4524055","0.45074126","0.4499684","0.44933197","0.44914967","0.44894618","0.44850516","0.4480862","0.44807652","0.447942","0.44696486","0.44682422","0.44622308","0.44577834","0.4453879","0.44354784","0.44342044","0.4427792","0.4422805","0.44123164","0.44120783"],"string":"[\n \"0.6104358\",\n \"0.6029362\",\n \"0.5758788\",\n \"0.5700185\",\n \"0.56716883\",\n \"0.5554278\",\n \"0.5480909\",\n \"0.53541315\",\n \"0.53469783\",\n \"0.5338232\",\n \"0.5322921\",\n \"0.51918405\",\n \"0.5174072\",\n \"0.51092106\",\n \"0.49829495\",\n \"0.4951872\",\n \"0.49417424\",\n \"0.49314085\",\n \"0.48986727\",\n \"0.4876008\",\n \"0.4874314\",\n \"0.48491374\",\n \"0.48340732\",\n \"0.48122498\",\n \"0.4811792\",\n \"0.48105845\",\n \"0.47793886\",\n \"0.47763678\",\n \"0.4776004\",\n \"0.47570932\",\n \"0.47492695\",\n \"0.47491744\",\n \"0.47455147\",\n \"0.47352558\",\n \"0.47264904\",\n \"0.47210047\",\n \"0.47194114\",\n \"0.47185272\",\n \"0.46958753\",\n \"0.4694738\",\n \"0.4692315\",\n \"0.46904016\",\n \"0.46849152\",\n \"0.46778497\",\n \"0.46774712\",\n \"0.46718898\",\n \"0.4671279\",\n \"0.46682474\",\n \"0.46677533\",\n \"0.46550444\",\n \"0.46491987\",\n \"0.46432558\",\n \"0.46412584\",\n \"0.4634538\",\n \"0.4634536\",\n \"0.46254933\",\n \"0.4622875\",\n \"0.4622218\",\n \"0.46197024\",\n \"0.46169165\",\n \"0.4616681\",\n \"0.45943558\",\n \"0.458862\",\n \"0.4581178\",\n \"0.45781347\",\n \"0.45721146\",\n \"0.45717984\",\n \"0.45706004\",\n \"0.45661038\",\n \"0.45612398\",\n \"0.45533216\",\n \"0.4552257\",\n \"0.45445615\",\n \"0.45428064\",\n \"0.45359755\",\n \"0.45352462\",\n \"0.45338225\",\n \"0.45286804\",\n \"0.45285624\",\n \"0.4524055\",\n \"0.45074126\",\n \"0.4499684\",\n \"0.44933197\",\n \"0.44914967\",\n \"0.44894618\",\n \"0.44850516\",\n \"0.4480862\",\n \"0.44807652\",\n \"0.447942\",\n \"0.44696486\",\n \"0.44682422\",\n \"0.44622308\",\n \"0.44577834\",\n \"0.4453879\",\n \"0.44354784\",\n \"0.44342044\",\n \"0.4427792\",\n \"0.4422805\",\n \"0.44123164\",\n \"0.44120783\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.5698314"},"document_rank":{"kind":"string","value":"4"}}},{"rowIdx":19790,"cells":{"query":{"kind":"string","value":"Return an exponential moving average for the series for the given day. The nday exponential moving average, EMA(n), is a very popular delay technical indicator."},"document":{"kind":"string","value":"public double expMovingAverage(int periods, int t)\n {\n if(periods<1)\n throw new IndexOutOfBoundsException(\"EMA(\" + periods + \") is undefined at time \" + t);\n double alpha = 2.0/(periods + 1);\n double ema = 0.0;\n for(int i = 0; i<=t; i++)\n ema += alpha*(x[i] - ema);\n return ema;\n }"},"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":["public double averageSteps() {\n if (day==0) return 0;\n return (double) totalSteps / day;}","private static double calculateMovingAverage(JsArrayNumber history) {\n double[] vals = new double[history.length()];\n long size = history.length();\n double sum = 0.0;\n double mSum = 0.0;\n long mCount = 0;\n\n // Check for sufficient data\n if (size >= 8) {\n // Clone the array and Calculate sum of the values\n for (int i = 0; i < size; i++) {\n vals[i] = history.get(i);\n sum += vals[i];\n }\n double mean = sum / size;\n\n // Calculate variance for the set\n double varianceTemp = 0.0;\n for (int i = 0; i < size; i++) {\n varianceTemp += Math.pow(vals[i] - mean, 2);\n }\n double variance = varianceTemp / size;\n double standardDev = Math.sqrt(variance);\n\n // Standardize the Data\n for (int i = 0; i < size; i++) {\n vals[i] = (vals[i] - mean) / standardDev;\n }\n\n // Calculate the average excluding outliers\n double deviationRange = 2.0;\n\n for (int i = 0; i < size; i++) {\n if (vals[i] <= deviationRange && vals[i] >= -deviationRange) {\n mCount++;\n mSum += history.get(i);\n }\n }\n\n } else {\n // Calculate the average (not enough data points to remove outliers)\n mCount = size;\n for (int i = 0; i < size; i++) {\n mSum += history.get(i);\n }\n }\n\n return mSum / mCount;\n }","@Test\n\tpublic void MovingAverage() {\n\t\tList<Double> high = new ArrayList<Double>();\n\t\t// high = highPriceList();\n\t\tfor (Double data2 : high) {\n\t\t\tSystem.out.println(data2);\n\t\t}\n\t\t// double[] testData = { 1, 2, 3, 4, 5, 5, 4, 3, 2, 1 };\n\t\tint[] windowSizes = { 3 };\n\n\t\tfor (int windSize : windowSizes) {\n\t\t\tStock_data_controller ma = new Stock_data_controller();\n\t\t\tma.Stock_controller(windSize);\n\t\t\tfor (double x : high) {\n\t\t\t\tma.newNum(x);\n\t\t\t\tSystem.out.println(\"Next number = \" + x + \", SimpleMovingAvg = \" + ma.getAvg());\n\t\t\t}\n\t\t\tSystem.out.println();\n\t\t}\n\t}","public Experiment getExp(int day, int index){ // istenen gun ve index de ki elemani getir.\r\n Node temp = head;\r\n int i = 0;\r\n Experiment ret = new Experiment();\r\n while( temp.next != null){\r\n while( temp.data.day == day ){ // gun bilgisi oldugu surece don\r\n if( i == index){ // index e gelince elemani dondur\r\n ret = temp.data;\r\n return ret;\r\n }\r\n i++;\r\n temp = temp.next;\r\n }\r\n temp = temp.nextDay;\r\n }\r\n return ret;\r\n }","private Double[] getDayValue24(DayEM dayEm) {\n\n\t Double[] dayValues = new Double[24];\n\n\t /* OPF-610 정규화 관련 처리로 인한 주석\n\t dayValues[0] = (dayEm.getValue_00() == null ? 0 : dayEm.getValue_00());\n\t dayValues[1] = (dayEm.getValue_01() == null ? 0 : dayEm.getValue_01());\n\t dayValues[2] = (dayEm.getValue_02() == null ? 0 : dayEm.getValue_02());\n\t dayValues[3] = (dayEm.getValue_03() == null ? 0 : dayEm.getValue_03());\n\t dayValues[4] = (dayEm.getValue_04() == null ? 0 : dayEm.getValue_04());\n\t dayValues[5] = (dayEm.getValue_05() == null ? 0 : dayEm.getValue_05());\n\t dayValues[6] = (dayEm.getValue_06() == null ? 0 : dayEm.getValue_06());\n\t dayValues[7] = (dayEm.getValue_07() == null ? 0 : dayEm.getValue_07());\n\t dayValues[8] = (dayEm.getValue_08() == null ? 0 : dayEm.getValue_08());\n\t dayValues[9] = (dayEm.getValue_09() == null ? 0 : dayEm.getValue_09());\n\t dayValues[10] = (dayEm.getValue_10() == null ? 0 : dayEm.getValue_10());\n\t dayValues[11] = (dayEm.getValue_11() == null ? 0 : dayEm.getValue_11());\n\t dayValues[12] = (dayEm.getValue_12() == null ? 0 : dayEm.getValue_12());\n\t dayValues[13] = (dayEm.getValue_13() == null ? 0 : dayEm.getValue_13());\n\t dayValues[14] = (dayEm.getValue_14() == null ? 0 : dayEm.getValue_14());\n\t dayValues[15] = (dayEm.getValue_15() == null ? 0 : dayEm.getValue_15());\n\t dayValues[16] = (dayEm.getValue_16() == null ? 0 : dayEm.getValue_16());\n\t dayValues[17] = (dayEm.getValue_17() == null ? 0 : dayEm.getValue_17());\n\t dayValues[18] = (dayEm.getValue_18() == null ? 0 : dayEm.getValue_18());\n\t dayValues[19] = (dayEm.getValue_19() == null ? 0 : dayEm.getValue_19());\n\t dayValues[20] = (dayEm.getValue_20() == null ? 0 : dayEm.getValue_20());\n\t dayValues[21] = (dayEm.getValue_21() == null ? 0 : dayEm.getValue_21());\n\t dayValues[22] = (dayEm.getValue_22() == null ? 0 : dayEm.getValue_22());\n\t dayValues[23] = (dayEm.getValue_23() == null ? 0 : dayEm.getValue_23());\n\t\t\t*/\n\t \n\t return dayValues;\n\t }","public double movingAverage(int periods, int t)\n {\n if(periods>t + 1 || periods<1)\n throw new IndexOutOfBoundsException(\"MA(\" + periods + \") is undefined at time \" + t);\n double sum = 0.0;\n for(int i = t - periods + 1; i<=t; i++)\n sum += x[i];\n return sum/periods;\n }","static double expon(double mean) {\n return -mean * Math.log(Math.random());\n }","public double average(){\r\n\t\t//create variable to hold the values\r\n\t\tdouble average = 0;\r\n\t\t\r\n\t\tfor (int i = 0; i < this.data.length; i++){\r\n\t\t\t//add current index\r\n\t\t\taverage += this.data[i];\r\n\t\t\t}\r\n\t\treturn (average/this.data.length);\r\n\t}","public MovingAverage(int size) {\r\n this.size = size;\r\n }","public Series removeDelayedTrend(int depth)\n {\n if(depth<1 || depth>=size)\n throw new IndexOutOfBoundsException();\n Series oscillator = new Series();\n oscillator.x = new double[oscillator.size = size - depth];\n if(oscillator.size>1)\n oscillator.r = new double[oscillator.size - 1];\n for(int t = 0; t<oscillator.size; t++)\n {\n oscillator.x[t] = x[t + depth] - movingAverage(depth, t + depth);\n if(t>0)\n oscillator.r[t - 1] = Math.log(oscillator.x[t]/oscillator.x[t - 1]);\n }\n return oscillator;\n }","private float calculateMean()\n { \n int numberEmployees = employees.size();\n float total = 0, meanGrossPay = 0;\n // Create an array of all gross pays\n float[] allGrossPay = new float[numberEmployees];\n \n // Call method to return an array of float containing all gross pays\n allGrossPay = calculateAllGrossPay();\n // Find total gross pay\n for (int i = 0; i < numberEmployees; i++)\n {\n total += allGrossPay[i];\n }\n // Find mean and return it\n if (numberEmployees > 0)\n {\n meanGrossPay = total/numberEmployees;\n \n }\n return meanGrossPay;\n }","private double calculateFeesEarnedEachDayOfWeek(ArrayList<Pair<Fees, Time>> timeslots, DayOfWeek day) {\n return daysOfWeek[day.ordinal()] * timeslots.stream()\n .filter(p -> convertDayOfWeek(p.getValue().getDay()).equals(day))\n .mapToDouble(p -> p.getValue().getTuitionHours() * p.getKey().getFeesValue())\n .sum();\n }","public double averageDayDriveDistance(String day)\n\t{\n\t\tint dayCount = 0; //total days run through\n\t\tString currentDate = \"\";\n\t\tdouble totalDistance = 0;\n\t\tfor(int i = 0; i < saveData.size(); i++)\n\t\t{\n\t\t\t//figures out the number of days, then averages the total by that number\n\t\t\tif(day.equals(saveData.get(i).get(\"day\")))\n\t\t\t{\n\t\t\t\tif(currentDate.equals(\"\"))\n\t\t\t\t{\n\t\t\t\t\t//if there is no current date, we must have just started; set the variable\n\t\t\t\t\tcurrentDate = saveData.get(i).get(\"date\"); //.get(\"date\") to be replaced\n\t\t\t\t\ttotalDistance += saveData.get(i).get(\"distance\");\n\t\t\t\t}\n\t\t\t\telse if(currentDate.equals(saveData.get(i).get(\"date\")))\n\t\t\t\t{\n\t\t\t\t\t//it's the same date, so add this distance to the total distance\n\t\t\t\t\ttotalDistance += saveData.get(i).get(\"distance\");\n\t\t\t\t}\n\t\t\t\telse\n\t\t\t\t{\n\t\t\t\t\t//it's a different date, so set the currentDate to this one,\n\t\t\t\t\t//increment the days counter;\n\t\t\t\t\tcurrentDate = saveData.get(i).get(\"date\");\n\t\t\t\t\tdayCount++;\n\t\t\t\t\t//add this drive to the total distance\n\t\t\t\t\ttotalDistance += saveData.get(i).get(\"distance\");\n\t\t\t\t}\n\t\t\t}\n\n\t\t}\n\t\t//after all the indexes of saveData have been run through\n\t\t//clean up by increment the days counter\n\t\tdayCount++;\n\t\t//get the average by dividing the total distance by the days\n\t\tdouble averageDistancePerDay = this.totalDriveDistance()/dayCount;\n\t}","@Test\r\n\tpublic void exerciseMovingAverage() {\n\t\tList<Integer> temparaturArray = Arrays.asList(8, 7, 6, 6, 7, 7, 8, 10, 13, 16, 10, 20, 23, 26, 30, 29, 27, 45, 24, 23, 20, 18, 15, 11);\r\n\t\tObservable<Integer> temparaturSequence = Observable\r\n\t\t\t\t.interval(0, 1L, TimeUnit.HOURS, testScheduler)\r\n\t\t\t\t.take(temparaturArray.size())\r\n\t\t\t\t.map(i -> temparaturArray.get(i.intValue()));\r\n\t\t\r\n\t\t// TODO: calculate the moving average (SMA) of the given temperature sequence (each hour of a single day).\r\n\t\t// use the previous three values for each data point.\r\n // HINT: use a suitable overload of the same method used in \"Batching\"\r\n // and then calculate the average of each batch using LINQ\r\n // HINT: don't forget to pass the scheduler\r\n\t\tObservable<Double> movingAverage = Observable.empty();\r\n\r\n\t\t// verify\r\n\t\tTestSubscriber<Double> testSubscriber = new TestSubscriber<>();\r\n\t\tmovingAverage.subscribe(testSubscriber);\r\n\r\n\t\t// let the time elapse until completion\r\n\t\ttestScheduler.advanceTimeBy(1, TimeUnit.DAYS);\r\n\t\t\r\n\t\tlog(testSubscriber.getOnNextEvents());\r\n\t\t\r\n\t\ttestSubscriber.assertNoErrors();\r\n\t\ttestSubscriber.assertCompleted();\r\n\t\t\r\n\t\t// expected values:\r\n\t\tList<Double> expected = Arrays.asList(\r\n\t\t\t\t7.0, 6.333333333333333, 6.333333333333333, 6.666666666666667, 7.333333333333333, \r\n\t\t\t\t8.333333333333334, 10.333333333333334, 13.0, 13.0, 15.333333333333334, \r\n\t\t\t\t17.666666666666668, 23.0, 26.333333333333332, 28.333333333333332, \r\n\t\t\t\t28.666666666666668, 33.666666666666664, 32.0, 30.666666666666668, \r\n\t\t\t\t22.333333333333332, 20.333333333333332, 17.666666666666668, 14.666666666666666, \r\n\t\t\t\t// the last two values have limited input, i.e.\r\n\t\t\t\t// (15+11)/2 and (11)/1\r\n\t\t\t\t13.0, 11.0);\r\n\t\ttestSubscriber.assertReceivedOnNext(expected);\r\n\t\t\r\n\t}","public MovingAverage(int size) {\n value = new int[size];\n }","double getYesterdaysExpenditureAmount() {\n Long time = new Date().getTime();\n Date date = new Date(time - time % (DAY_DURATION));\n return getExpenditureAmount(date.getTime() - DAY_DURATION, date.getTime());\n }","public void findEasterDay()\n {\n while(year <= endYear)\n {\n EasterMath(year);\n for(int j = 0; j < 11; j++)\n {\n for(int k = 0; k < 30; k++)\n {\n if(month == j && day == k)\n {\n dates[j][k]++;\n }\n }\n }\n year++;\n }\n }","double average();","public Double getTempAvgDaily() {\r\n\t\treturn tempAvgDaily;\r\n\t}","static double average(double[] data){\n\n // Initializing total placeholder \n double total = 0;\n\n // Traversing data array and adding to total sum\n for (double d : data) {\n total += d;\n }\n\n // Computing average\n double average = (double) total / data.length;\n\n return average;\n }","protected static float[] computeMovingAverage(float[] values, int np) {\n\t\tfloat[] mm = new float[values.length - np];\n\t\tfor (int i = 0; i < mm.length; i++) {\n\t\t\tfloat sum = 0;\n\t\t\tfor (int j = 0; j < np; j++) {\n\t\t\t\tsum = sum + values[i + j];\n\t\t\t}\n\t\t\tmm[i] = sum / np;\n\t\t}\n\t\treturn mm;\n\t}","@Test\n\tpublic void averageWorksForModeSteps() {\n\t\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\n\t\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 10, 0)); // constant function = 10\n\t\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\n\t\tt1.addValues(TimeSeriesUtils.createStepFunction(5, 20, 25, 20, 0)); // constant function = 20\n\t\tt0.setInterpolationMode(InterpolationMode.STEPS);\n\t\tt1.setInterpolationMode(InterpolationMode.STEPS);\n\t\tfinal ReadOnlyTimeSeries avg = MultiTimeSeriesUtils.getAverageTimeSeries(Arrays.<ReadOnlyTimeSeries> asList(t0, t1), 0, Long.MAX_VALUE, true, null, false);\n\t\t// one data point outside time range, one boundary value should be added\n\t\tAssert.assertEquals(\"Time series sum has wrong number of data points\", 13, avg.size());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 10, avg.getValue(7).getValue().getIntegerValue());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 15, avg.getValue(23).getValue().getIntegerValue());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 15, avg.getValue(100).getValue().getIntegerValue());\n\t}","private double calculateAverage(Candle[] cd) {\n double sum = 0; \r\n for(Candle c : cd) {\r\n sum += c.getClose();\r\n }\r\n return sum/cd.length;\r\n \r\n }","private void PeriodMeanEvaluation () {\n\n float x = 0;\n for(int i = 0; i < 3; i++)\n {\n for(int j = 0; j < numberOfSample; j++)\n {\n x = x + singleFrame[j][i];\n }\n meanOfPeriodCoord[i] = (x/numberOfSample);\n x = 0;\n }\n }","public double getElevationData(String date){\n\t\tJSONArray array = new JSONArray(elevHistory);\n\t\tfor(int i = 0; i<array.length();i++){\n\t\t\tJSONObject json = array.getJSONObject(i);\n\t\t\tif(json.get(\"dateTime\").equals(date))\n\t\t\t\treturn Double.parseDouble(json.get(\"value\").toString());\n\t\t}\n\t\treturn -1;\n\t}","public static double average(double[] array){\n double sum = 0;\n for (int i = 0; i < array.length; i++) {\n sum += array[i];\n }\n return sum/array.length;\n }","public TimeDecayingAverage(double phi, double average) {\n setPhi(phi);\n this.average = average;\n }","public static void calculateAverage(double[] inputArray, int limit)\r\n\t{\r\n\t\tIMovingAverage<Double> movingAvg = new MovingAverageImpl<Double>(limit);\r\n\t\tfor(double element : inputArray)\r\n\t\t{\r\n\t\t\tmovingAvg.add(element);\r\n\t\t\tSystem.out.println(\"Moving average is = \" +movingAvg.getAverage());\r\n\t\t}\r\n\t\tSystem.out.println(\"*********************************************************\");\r\n\t}","public double getMean() \r\n\t{\r\n\t\tlong tmp = lastSampleTime - firstSampleTime;\r\n\t\treturn ( tmp > 0 ? sumPowerOne / (double) tmp : 0);\r\n\t}","public double MACDSignal(int t)\n {\n Series macd = new Series();\n macd.x = new double[macd.size = t + 1];\n for(int i = 0; i<=t; i++)\n macd.x[i] = MACD(i);\n return macd.expMovingAverage(9, t);\n }","double average() { // used double b/c I want decimal places\n\t\tint sum = 0;\n\t\tfor (int i = 0; i < array.length; i++) {\n\t\t\tsum = sum + array[i];\n\t\t}\n\t\tdouble average = (double) sum / array.length;\n\t\treturn average;\n\n\t}","public static double rollingAvg(double value, double newEntry, double n, double weighting ) {\r\n return (value * n + newEntry * weighting)/(n + weighting);\r\n }","static double userOnDay(final float rate, final int day) {\n return Math.pow(rate, day);\n }","Execution getAverageExecutions();","@DISPID(62)\r\n\t// = 0x3e. The runtime will prefer the VTID if present\r\n\t@VTID(60)\r\n\tint averageRunTime_Days();","public double computeE(double temperature) throws Exception {\n int index = findPolynomial(temperature);\n if (index!=BadIndex) {\n double data = polynomials[index].compute(temperature);\n\n double correction = 0.0;\n if (exponential!=null && temperature>0) {\n // according to the function definition from NIST,\n // the exponential term is available only for type K when temperature > 0\n // Reference http://srdata.nist.gov/its90/download/download.html\n correction = exponential.compute(temperature);\n }\n return data + correction;\n }\n else {\n throw new Exception(getInputOutOrRangeMessage(temperature));\n }\n }","public double average(double alternative) {\n int cnt = 0;\n double sum = 0.0;\n\n // Compute the average of all values\n for (Number number : this) {\n if (number == null) continue;\n if (Double.isNaN(number.doubleValue())) continue;\n\n sum += number.doubleValue();\n cnt++;\n }\n\n // If we haven't had any element, return 0\n if (cnt == 0) return alternative;\n return sum / cnt;\n }","public static double avg(double[] array) {\r\n\t\tdouble ret = sum(array);\r\n\t\treturn ret / array.length;\r\n\t}","public float calculateAverageHigh() {\n\t\t\n\t\tfloat sum = 0;\n\t\tfor (int i=0; i<temps.length; i++)\n\t\t\tsum += temps[i][0];\n\t\treturn sum /= temps.length;\n\t\t\n\t}","public static double getAverage(double[] array)\r\n\t{\r\n\t\tdouble sum = Σ(array);\r\n\r\n\t\tif (sum == 0 || array.length == 0)\r\n\t\t\treturn 0;\r\n\t\treturn sum / array.length;\r\n\t}","double computeMAE(int paraK) {\n\t\tdouble tempMae = 0;\n\t\tint tempTotalCount = 0;\n\t\t// Step 1. Predict the distribution\n\t\tfor (int i = 0; i < dataModel.uTeRateInds.length; i++) {\n\t\t\tfor (int j = 0; j < dataModel.uTeRateInds[i].length; j++) {\n\t\t\t\tint[] tempDistribution = predict(i, dataModel.uTeRateInds[i][j], paraK);\n\t\t\t\tif (tempDistribution == null) {\n\t\t\t\t\tcontinue;\n\t\t\t\t} // Of if\n\n\t\t\t\tdouble tempPrediction = 0;\n\t\t\t\tint tempCount = 0;\n\t\t\t\tfor (int k = 0; k < tempDistribution.length; k++) {\n\t\t\t\t\ttempPrediction += tempDistribution[k] * (k + 1);\n\t\t\t\t\ttempCount += tempDistribution[k];\n\t\t\t\t} // Of for k\n\t\t\t\ttempPrediction /= tempCount;\n\n\t\t\t\ttempMae += Math.abs(tempPrediction - dataModel.uTeRatings[i][j]);\n\t\t\t\ttempTotalCount++;\n\t\t\t} // of for\n\t\t} // of for i\n\n\t\tif (tempTotalCount > 1e-6) {\n\t\t\ttempMae /= tempTotalCount;\n\t\t} // of\n\n\t\treturn tempMae;\n\t}","public double average() {\n return average(0.0);\n }","public static double averageOfNumbers(int n) {\n Scanner keyedInput = new Scanner(System.in);\n\n double total = 0;\n double[] values = new double[n];\n\n System.out.println(\"Please enter your values:\");\n for (int i = 0; i < n; i = i + 1) {\n values[i] = keyedInput.nextDouble();\n total = total + values[i];\n }\n double a = (double) Math.round((total / n) * 100) / 100;\n return a;\n }","public double average(){\n double avg = 0;\n double sum = 0;\n for (T t : arr) {\n // sum += t.doubleValue();\n }\n\n return sum / arr.length;\n }","public static double[] berekenDagOmzet(double[] omzet) {\n double[] temp = new double[DAYS_IN_WEEK];\n \n for(int i = 0; i < DAYS_IN_WEEK; i++) {\n\n int j = 0;\n int counter = 0;\n while( omzet.length > (i + DAYS_IN_WEEK * j) ) {\n temp[i] += omzet[i + DAYS_IN_WEEK * j];\n \n j++;\n counter++;\n }\n temp[i] = temp[i] / counter;\n }\n return temp;\n }","public Double computeAverage(){\n\t\tdouble total = 0; //double used to keep total value of elements in arr to determine average\n\t\t\n\t\tfor(int i = 0; i < arr.length; i++)//loop through array and add the total\n\t\t{\n\t\t\ttotal += arr[i].doubleValue(); //add current value of element in arr to total's value\n\t\t}\n\t\t\n\t\tDouble result = total/arr.length; //returns the average as a Double\n\t\t\n\t\treturn result;\n\t}","public double getAvg(){\n double avg=0;\n for(int x=0; x<max; x++){\n avg=avg+times[x];\n }\n avg=avg/max;\n return avg;\n }","public static double getAverage(Number[] array)\r\n\t{\r\n\t\tdouble sum = Σ(array);\r\n\r\n\t\tif (sum == 0 || array.length == 0)\r\n\t\t\treturn 0;\r\n\t\treturn sum / array.length;\r\n\t}","double avg(){\n\t\tdouble sum = 0.0;\n\t\tfor(int i=0;i<num.length;i++)\n\t\t\tsum+=num[i].doubleValue();\n\t\treturn sum/num.length;\n\t}","public double averageOfArray() {\n double sum = 0;\n double average = 0;\n int i;\n for (i = 0; i < sirDeLa1La100.length; i++) {\n sum = sum + sirDeLa1La100[i];\n }\n average = sum / sirDeLa1La100.length;\n return average;\n }","double getMeanPrice() {\n List<Double> allPrices = new ArrayList<>();\n\n for (Firm firm : firms) {\n List<Double> pricesOfFirm = firm.getPrices();\n allPrices.addAll(pricesOfFirm.subList(pricesOfFirm.size() - SimulationManager.sizeOfExaminationInterval, pricesOfFirm.size()));\n }\n\n return Calculation.round(Calculation.getMean(allPrices), 2);\n }","public static double arrayAverage(double[] array, double arraySize) {\r\n double averages = 0;\r\n for (int x = 0; x < arraySize; x++) {\r\n averages += array[x];\r\n }\r\n averages = (averages / arraySize);\r\n return averages;\r\n }","public double arithmeticalMean(double[] arr) {\n return 0;\n }","@WebMethod(operationName = \"average-increase-by-days\")\n String getAverageInc(@WebParam(name = \"days\") int days) throws JsonProcessingException;","public MovingAveragefromDataStream(int size) {\n this.size = size;\n }","public static float[] returnMeanArray (float[] weatherArray){\n float[] meanArray = new float[12];\n for (int i = 0; i < 12; i++){\n meanArray[i] = weatherArray[i]/30;\n }\n return meanArray;\n }","double average(double[] doubles) {\n double total = 0.0;\n //int count = 0;\n for (double d: doubles) {\n total = total + d;\n //count = count + 1;\n }\n //return total / count;\n return total / doubles.length;\n }","public double getMean() {\n double timeWeightedSum = 0;\n\n for (int i = 0; i < accumulate.size() - 1; i++) {\n timeWeightedSum += accumulate.get(i).value\n * (accumulate.get(i + 1).timeOfChange\n - accumulate.get(i).timeOfChange);\n\n }\n LOG_HANDLER.logger.finer(\"timeWeightedSum Value: \" + timeWeightedSum\n + \"totalOfQuueueEntries: \" + totalOfQueueEntries);\n return timeWeightedSum / totalOfQueueEntries;\n }","public static double getAverage(int start, double[] d) {\n double average = 0;\n for (int i = 0; i < 110; i++) {\n average = average + d[i];\n }\n return average / 110;\n }","static final float interp_energy(final float prev_e, final float next_e)\n\t{\n\t\treturn (float)Math.pow( 10.0, (Math.log10( prev_e ) + Math.log10( next_e )) / 2.0 );\n\t}","public static double getAverage(double[][] array)\r\n\t{\r\n\t\tint count = 0;\r\n\t\tList<Double> lineSumList = new ArrayList<Double>();\r\n\t\tfor( int i = 0; i < array.length; i++ ) {\r\n\t\t\tdouble lineSum = Σ(array[i]);\r\n\t\t\tlineSumList.add(lineSum);\r\n\t\t\tcount += array[i].length;\r\n\t\t}\r\n\t\tdouble sum = Σ(lineSumList);\r\n\t\t\r\n\t\tif (sum == 0 || array.length == 0)\r\n\t\t\treturn 0;\r\n\t\treturn sum / count;\r\n\t}","public static double average(double[] employeeSalaries) {\n\t\t double total=0;int month=0;\n\t\t for(int i=0;i<employeeSalaries.length;i++) {\n\t\t\t if (employeeSalaries[i]>0) {\n\t\t\t\t total+=employeeSalaries[i];\n\t\t\t\t month++;\n\t\t\t }\n\t\t\t }\n\t\t if (total==0) {\n\t\t\t throw new IllegalArgumentException(\"all values in the employeeSalaries array are zero.\");\n\t\t }\n\treturn total/month;\n\t}","static double averageDoubleArray(double[] inputArray) {\n\t\tdouble doubleSum = 00.00;\n\t\tfor (double element : inputArray) { \n\t\t\tdoubleSum += element;\n\t\t}\n\t\tdouble average = doubleSum / inputArray.length; \n\t\treturn average;\n\t}","public double getMean(){\n\t\treturn Math.exp(location + scale * scale / 2);\n\t}","public void setTempAvgDaily(Double tempAvgDaily) {\r\n\t\tthis.tempAvgDaily = tempAvgDaily;\r\n\t}","public double getAverage(){\n return getTotal()/array.length;\n }","@Test\n\tpublic void averageWorksForModeNone() {\n\t\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\n\t\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 10, 0)); // constant function = 10\n\t\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\n\t\tt1.addValues(TimeSeriesUtils.createStepFunction(5, 20, 25, 20, 0)); // constant function = 20\n\t\tfinal ReadOnlyTimeSeries avg = MultiTimeSeriesUtils.getAverageTimeSeries(Arrays.<ReadOnlyTimeSeries> asList(t0, t1), 0, Long.MAX_VALUE, true, null, false);\n\t\tAssert.assertEquals(\"Time series sum has wrong number of data points\", 13, avg.size());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 15, avg.getValue(20).getValue().getIntegerValue());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 20, avg.getValue(45).getValue().getIntegerValue());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 10, avg.getValue(80).getValue().getIntegerValue());\n\t}","public static double getAverage(double[] dataArray) {\n\t\t\n\t\tdouble average = 0.0;\n\t\t\n\t\tfor (int i = 0; i <dataArray.length; i++) {\n\t\t\taverage += dataArray[i];\n\t\t}\n\t\t\n\t\taverage = average/dataArray.length;\n\t\t\n\t\treturn average;\n\t}","public static Double computeMean(Double[] values) {\n\t\treturn computeMean(values, 0, values.length);\n\t}","private double[][] calculateExafsEnergiesConstantKStep() {\n\t\tdouble lowK = evToK(cEnergy);\n\t\tdouble highK = evToK(finalEnergy);\n\t\tdouble[][] kArray = createStepArray(lowK, highK, exafsStep, exafsTime, true, numberDetectors);\n\t\t// convert from k to energy in each element\n\t\tfor (int i = 0; i < kArray.length; i++)\n\t\t\tkArray[i][0] = kToEv(kArray[i][0]);\n\t\treturn kArray;\n\t}","public MovingAverage(int size) {\n q = new LinkedList();\n this.size = size;\n sum = 0;\n }","public int avgProhibitedItemsPerDay(){\r\n \r\n int trav=apstate.gettravellers();\r\n\t\tint days=apstate.getdays();\r\n\t\tint items=apstate.getitems();\r\n \r\n int avg_prohibited_items_per_day=items/days;\r\n \r\n return avg_prohibited_items_per_day;\r\n }","private double getAvg() {\n\n double sum = 0;\n\n for (Map.Entry<Integer, Double> entry : values.entrySet()) {\n sum += entry.getValue();\n }\n\n if (values.size() > 0) {\n return sum / values.size();\n } else {\n throw new IllegalStateException(\"no values\");\n }\n }","private double calc_E(KeplerElements a) {\n\t\tdouble sqrome2 = Math.sqrt(1.0 - a.e * a.e);\r\n\t\tdouble cta = Math.cos(a.ta);\r\n\t\tdouble sta = Math.sin(a.ta);\r\n\t\tdouble sine0 = (sqrome2 * sta) / (1.0 + a.e * cta);\r\n\t\tdouble cose0 = (a.e + cta) / (1.0 + a.e * cta);\r\n\t\tdouble e0 = Math.atan2(sine0, cose0);\r\n\t\treturn e0;\r\n\r\n\t}","public final EObject entryRuleAverageOperator() throws RecognitionException {\n EObject current = null;\n\n EObject iv_ruleAverageOperator = null;\n\n\n try {\n // ../de.hs_rm.cs.vs.dsm.flow/src-gen/de/hs_rm/cs/vs/dsm/parser/antlr/internal/InternalFlow.g:2972:2: (iv_ruleAverageOperator= ruleAverageOperator EOF )\n // ../de.hs_rm.cs.vs.dsm.flow/src-gen/de/hs_rm/cs/vs/dsm/parser/antlr/internal/InternalFlow.g:2973:2: iv_ruleAverageOperator= ruleAverageOperator EOF\n {\n newCompositeNode(grammarAccess.getAverageOperatorRule()); \n pushFollow(FOLLOW_ruleAverageOperator_in_entryRuleAverageOperator6654);\n iv_ruleAverageOperator=ruleAverageOperator();\n\n state._fsp--;\n\n current =iv_ruleAverageOperator; \n match(input,EOF,FOLLOW_EOF_in_entryRuleAverageOperator6664); \n\n }\n\n }\n \n catch (RecognitionException re) { \n recover(input,re); \n appendSkippedTokens();\n } \n finally {\n }\n return current;\n }","public final EObject entryRuleAverageFunction() throws RecognitionException {\r\n EObject current = null;\r\n\r\n EObject iv_ruleAverageFunction = null;\r\n\r\n\r\n try {\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3257:2: (iv_ruleAverageFunction= ruleAverageFunction EOF )\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3258:2: iv_ruleAverageFunction= ruleAverageFunction EOF\r\n {\r\n if ( state.backtracking==0 ) {\r\n newCompositeNode(grammarAccess.getAverageFunctionRule()); \r\n }\r\n pushFollow(FOLLOW_ruleAverageFunction_in_entryRuleAverageFunction6944);\r\n iv_ruleAverageFunction=ruleAverageFunction();\r\n\r\n state._fsp--;\r\n if (state.failed) return current;\r\n if ( state.backtracking==0 ) {\r\n current =iv_ruleAverageFunction; \r\n }\r\n match(input,EOF,FOLLOW_EOF_in_entryRuleAverageFunction6954); if (state.failed) return current;\r\n\r\n }\r\n\r\n }\r\n \r\n catch (RecognitionException re) { \r\n recover(input,re); \r\n appendSkippedTokens();\r\n } \r\n finally {\r\n }\r\n return current;\r\n }","public double mean()\n {\n double sum = 0.0;\n for(int t = 0; t<size; t++)\n sum += x[t];\n return sum/size;\n }","public double getMean(final int d) {\n double sum = 0;\n int numPoints = getNumPoints();\n\n for (int i = 0; i < numPoints; i++) {\n sum += getComponent(i, d);\n }\n\n return sum / numPoints;\n }","private void calculateMean(float total){\r\n float averageBonds = total/accountInTotal;\r\n float averageAER = (averageBonds-startingBonds)/(startingBonds/100);\r\n\r\n Account averageAccount = new Account(startingBonds,averageBonds,averageAER);\r\n System.out.println(averageAccount.toString());\r\n\r\n }","public ArrayList<Forecast> getForecastsForDay( int day ) {\n if (forecasts.size() == 0) {\n return null;\n }\n\n int startIndex = 0;\n int endIndex = 0;\n\n if (day < 8) {\n startIndex = dayIndices[day];\n }\n\n if (startIndex == -1) {\n return null;\n }\n\n if (day < 7) {\n endIndex = dayIndices[day+1];\n if (endIndex < 0) {\n endIndex = forecasts.size();\n }\n } else {\n endIndex = forecasts.size();\n }\n\n return new ArrayList<>(forecasts.subList(startIndex, endIndex));\n }","public static double meanOf(double... values) {\n/* 433 */ Preconditions.checkArgument((values.length > 0));\n/* 434 */ double mean = values[0];\n/* 435 */ for (int index = 1; index < values.length; index++) {\n/* 436 */ double value = values[index];\n/* 437 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\n/* */ \n/* 439 */ mean += (value - mean) / (index + 1);\n/* */ } else {\n/* 441 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\n/* */ } \n/* */ } \n/* 444 */ return mean;\n/* */ }","private float averageBeat(){\n float avgBeat = 0f;\n List<Float> beatRed = DataManager.getInstance().getBeatRed();\n List<Float> beatIR = DataManager.getInstance().getBeatIR();\n\n for(int i = 0; i < beatRed.size() && i < beatIR.size(); i ++ ){\n chartFragment.addRedData(beatRed.get(i));\n chartFragment.addIRData(beatIR.get(i));\n avgBeat += beatRed.get(i);\n avgBeat += beatIR.get(i);\n }\n avgBeat = avgBeat / (beatRed.size() + beatIR.size());\n\n if (tcpTask != null )\n this.tcpTask.addData(\"\" + avgBeat);\n beatLabel.setText(\"Beat : \" + avgBeat);\n return avgBeat;\n }","public double average()\n\t{\n\t\tif (arraySize > 0)\n\t\t{\n\t\t\tdouble sum = this.sum();\n\t\t\treturn sum / arraySize;\n\t\t}\n\t\tSystem.out.println(\"Syntax error, array is empty.\");\n\t\treturn -1;\n\t}","public final EObject entryRuleExponentialFunction() throws RecognitionException {\r\n EObject current = null;\r\n\r\n EObject iv_ruleExponentialFunction = null;\r\n\r\n\r\n try {\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3431:2: (iv_ruleExponentialFunction= ruleExponentialFunction EOF )\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3432:2: iv_ruleExponentialFunction= ruleExponentialFunction EOF\r\n {\r\n if ( state.backtracking==0 ) {\r\n newCompositeNode(grammarAccess.getExponentialFunctionRule()); \r\n }\r\n pushFollow(FOLLOW_ruleExponentialFunction_in_entryRuleExponentialFunction7290);\r\n iv_ruleExponentialFunction=ruleExponentialFunction();\r\n\r\n state._fsp--;\r\n if (state.failed) return current;\r\n if ( state.backtracking==0 ) {\r\n current =iv_ruleExponentialFunction; \r\n }\r\n match(input,EOF,FOLLOW_EOF_in_entryRuleExponentialFunction7300); if (state.failed) return current;\r\n\r\n }\r\n\r\n }\r\n \r\n catch (RecognitionException re) { \r\n recover(input,re); \r\n appendSkippedTokens();\r\n } \r\n finally {\r\n }\r\n return current;\r\n }","private double logSumExp(double x[]) {\n double maxx = Double.NEGATIVE_INFINITY;\n for (double d : x) {\n if (d > maxx) { maxx = d; }\n }\n double sum = 0.0;\n for (double d : x) {\n sum += Math.exp(d-maxx);\n }\n return maxx + Math.log(sum);\n }","public static boolean emaMomentumExists(Stock stock, String date, boolean fractal) {\r\n\t\t\tdate = stock.getClosestDate(date);\r\n\r\n\t\t\tint timePeriod = stock.getTimePeriod();\r\n\t\t\tint startingIndex = stock.getDates().indexOf(date) - timePeriod + 1;\r\n\t\t\tint endingIndex = stock.getDates().indexOf(date);\r\n\t\t\tdouble rateOfChange = 0;\r\n\t\t\tdouble previousRateOfChange = 0;\r\n\t\t\tdouble[] ratesOfChange = new double[timePeriod];\r\n\t\t\tfor (int i = startingIndex; i < endingIndex; i++) {\r\n\t\t\t\tString iDate1 = stock.getDates().get(i);\r\n\t\t\t\tString iDate2 = stock.getDates().get(i + 1);\r\n\t\t\t\tdouble ema1 = stock.getEMA(iDate1);\r\n\t\t\t\tdouble ema2 = stock.getEMA(iDate2);\r\n\t\t\t\tdouble emaFifty1 = stock.getFiftyEMA(iDate1);\r\n\t\t\t\tdouble emaFifty2 = stock.getFiftyEMA(iDate2);\r\n\t\t\t\tdouble hist1 = ema1 - emaFifty1;\r\n\t\t\t\tdouble hist2 = ema2 - emaFifty2;\r\n\t\t\t\tdouble change = hist2 - hist1;\r\n\t\t\t\tratesOfChange[i - startingIndex] = change;\r\n\t\t\t}\r\n\r\n\t\t\tdouble multiplier = (2.0 / (double) (timePeriod + 1));\r\n\t\t\tpreviousRateOfChange = ratesOfChange[0];\r\n\t\t\tdouble ema = 0;\r\n\t\t\tfor (int i = 1; i < ratesOfChange.length; i++) {\r\n\t\t\t\trateOfChange = ratesOfChange[i];\r\n\t\t\t\tema = ((rateOfChange - previousRateOfChange) * multiplier) + previousRateOfChange;\r\n\t\t\t\tpreviousRateOfChange = ema;\r\n\t\t\t}\r\n\r\n\t\t\tif (!fractal && postiveCross(stock, date, stock.getTimePeriod()) && ema > .04) { \r\n\t\t\t\treturn true;\r\n\t\t\t} else if (fractal && ema > 0) {\r\n\t\t\t\treturn true;\r\n\t\t\t}\r\n\t\t\treturn false;\r\n\t\t}","@DISPID(67)\r\n\t// = 0x43. The runtime will prefer the VTID if present\r\n\t@VTID(65)\r\n\tint averageCPUTime_Days();","public int avgTrafficPerDay(){\r\n \r\n int trav=apstate.gettravellers();\r\n\t\tint days=apstate.getdays();\r\n\t\tint items=apstate.getitems();\r\n \r\n int avg_traffic_per_day=trav/days;\r\n \r\n return avg_traffic_per_day;\r\n }","Date NextEvent(Date d);","public synchronized double getAverage() {\n return average;\n }","double getTodaysExpenditureAmount() {\n Long time = new Date().getTime();\n Date date = new Date(time - time % (DAY_DURATION));\n return getExpenditureAmount(date.getTime(), date.getTime() + (DAY_DURATION));\n }","public static Date averageDate(List<Date> theDates){\r\n\t\t\r\n\t\tif ((theDates == null) || (theDates.size() == 0)){\r\n\t\t\treturn new Date();\r\n\t\t}\r\n\t\t\r\n\t\tDate earliestDate = null;\r\n\t\tDate latestDate = null;\r\n\t\t\r\n\t\tfor (ListIterator li = theDates.listIterator(); li.hasNext();) {\r\n\t\t\tDate thisDate = (Date) li.next();\r\n\t\t\t\r\n\t\t\tif (earliestDate == null){\r\n\t\t\t\tearliestDate = thisDate;\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\tif (latestDate == null){\r\n\t\t\t\tlatestDate = thisDate;\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\tif (thisDate.before(earliestDate)){\r\n\t\t\t\tearliestDate = thisDate;\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\tif (latestDate.after(thisDate)){\r\n\t\t\t\tlatestDate = thisDate;\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\tlong averageOfExtremes = (earliestDate.getTime() + latestDate.getTime() ) /2;\r\n\t\t\r\n\t\treturn new Date(averageOfExtremes);\r\n\t}","@Override\n public Double average() {\n return (sum() / (double) count());\n }","public double getAverage(){\r\n\t\tdouble sum=0;\r\n\t\tfor(Iterator<T> it=this.iterator();it.hasNext();){\r\n\t\t\tsum+=it.next().doubleValue();\r\n\t\t}\r\n\t\treturn sum/this.size();\r\n\t}","public ArrayList<Event> eventsInDay(LocalDate day) {\n ArrayList<Event> myList = new ArrayList<>();\n for (Event e : myAgenda) {\n if (e.isInDay(day)) {\n myList.add(e);\n }\n }\n return myList;\n }","public double compute_dEdT(double temperature) throws Exception {\n int index = findPolynomial(temperature);\n if (index!=BadIndex) {\n double data = polynomials[index].compute_dEdT(temperature);\n\n double correction = 0.0;\n if (exponential!=null && temperature>0) {\n // according to the function definition from NIST,\n // the exponential term is available only for type K when temperature > 0\n // Reference http://srdata.nist.gov/its90/download/download.html\n correction = exponential.compute_dEdT(temperature);\n }\n return data + correction;\n }\n else {\n throw new Exception(getInputOutOrRangeMessage(temperature));\n }\n }","private float calculateAverage(List<Float> tempVoltages) {\r\n\t\t\r\n\t\tfloat runningTotal = 0;\r\n\t\tfor(float i : tempVoltages){\r\n\t\t\trunningTotal += i;\r\n\t\t}\r\n\t\trunningTotal /= tempVoltages.size();\r\n\t\treturn runningTotal;\r\n\t}","public double calcAvg() {\n\t\treturn (double)calcSum() / data.size();\n }","public int average()\n {\n int average = 0;\n int sum = 0;\n\n for ( int index = 0; index < data.length; index++ )\n {\n sum = sum + data[index];\n }\n average = sum / data.length;\n\n return average;\n }","public void advanceDay(long day) {\n clock = Clock.offset(clock, Duration.ofDays(day));\n }"],"string":"[\n \"public double averageSteps() {\\n if (day==0) return 0;\\n return (double) totalSteps / day;}\",\n \"private static double calculateMovingAverage(JsArrayNumber history) {\\n double[] vals = new double[history.length()];\\n long size = history.length();\\n double sum = 0.0;\\n double mSum = 0.0;\\n long mCount = 0;\\n\\n // Check for sufficient data\\n if (size >= 8) {\\n // Clone the array and Calculate sum of the values\\n for (int i = 0; i < size; i++) {\\n vals[i] = history.get(i);\\n sum += vals[i];\\n }\\n double mean = sum / size;\\n\\n // Calculate variance for the set\\n double varianceTemp = 0.0;\\n for (int i = 0; i < size; i++) {\\n varianceTemp += Math.pow(vals[i] - mean, 2);\\n }\\n double variance = varianceTemp / size;\\n double standardDev = Math.sqrt(variance);\\n\\n // Standardize the Data\\n for (int i = 0; i < size; i++) {\\n vals[i] = (vals[i] - mean) / standardDev;\\n }\\n\\n // Calculate the average excluding outliers\\n double deviationRange = 2.0;\\n\\n for (int i = 0; i < size; i++) {\\n if (vals[i] <= deviationRange && vals[i] >= -deviationRange) {\\n mCount++;\\n mSum += history.get(i);\\n }\\n }\\n\\n } else {\\n // Calculate the average (not enough data points to remove outliers)\\n mCount = size;\\n for (int i = 0; i < size; i++) {\\n mSum += history.get(i);\\n }\\n }\\n\\n return mSum / mCount;\\n }\",\n \"@Test\\n\\tpublic void MovingAverage() {\\n\\t\\tList<Double> high = new ArrayList<Double>();\\n\\t\\t// high = highPriceList();\\n\\t\\tfor (Double data2 : high) {\\n\\t\\t\\tSystem.out.println(data2);\\n\\t\\t}\\n\\t\\t// double[] testData = { 1, 2, 3, 4, 5, 5, 4, 3, 2, 1 };\\n\\t\\tint[] windowSizes = { 3 };\\n\\n\\t\\tfor (int windSize : windowSizes) {\\n\\t\\t\\tStock_data_controller ma = new Stock_data_controller();\\n\\t\\t\\tma.Stock_controller(windSize);\\n\\t\\t\\tfor (double x : high) {\\n\\t\\t\\t\\tma.newNum(x);\\n\\t\\t\\t\\tSystem.out.println(\\\"Next number = \\\" + x + \\\", SimpleMovingAvg = \\\" + ma.getAvg());\\n\\t\\t\\t}\\n\\t\\t\\tSystem.out.println();\\n\\t\\t}\\n\\t}\",\n \"public Experiment getExp(int day, int index){ // istenen gun ve index de ki elemani getir.\\r\\n Node temp = head;\\r\\n int i = 0;\\r\\n Experiment ret = new Experiment();\\r\\n while( temp.next != null){\\r\\n while( temp.data.day == day ){ // gun bilgisi oldugu surece don\\r\\n if( i == index){ // index e gelince elemani dondur\\r\\n ret = temp.data;\\r\\n return ret;\\r\\n }\\r\\n i++;\\r\\n temp = temp.next;\\r\\n }\\r\\n temp = temp.nextDay;\\r\\n }\\r\\n return ret;\\r\\n }\",\n \"private Double[] getDayValue24(DayEM dayEm) {\\n\\n\\t Double[] dayValues = new Double[24];\\n\\n\\t /* OPF-610 정규화 관련 처리로 인한 주석\\n\\t dayValues[0] = (dayEm.getValue_00() == null ? 0 : dayEm.getValue_00());\\n\\t dayValues[1] = (dayEm.getValue_01() == null ? 0 : dayEm.getValue_01());\\n\\t dayValues[2] = (dayEm.getValue_02() == null ? 0 : dayEm.getValue_02());\\n\\t dayValues[3] = (dayEm.getValue_03() == null ? 0 : dayEm.getValue_03());\\n\\t dayValues[4] = (dayEm.getValue_04() == null ? 0 : dayEm.getValue_04());\\n\\t dayValues[5] = (dayEm.getValue_05() == null ? 0 : dayEm.getValue_05());\\n\\t dayValues[6] = (dayEm.getValue_06() == null ? 0 : dayEm.getValue_06());\\n\\t dayValues[7] = (dayEm.getValue_07() == null ? 0 : dayEm.getValue_07());\\n\\t dayValues[8] = (dayEm.getValue_08() == null ? 0 : dayEm.getValue_08());\\n\\t dayValues[9] = (dayEm.getValue_09() == null ? 0 : dayEm.getValue_09());\\n\\t dayValues[10] = (dayEm.getValue_10() == null ? 0 : dayEm.getValue_10());\\n\\t dayValues[11] = (dayEm.getValue_11() == null ? 0 : dayEm.getValue_11());\\n\\t dayValues[12] = (dayEm.getValue_12() == null ? 0 : dayEm.getValue_12());\\n\\t dayValues[13] = (dayEm.getValue_13() == null ? 0 : dayEm.getValue_13());\\n\\t dayValues[14] = (dayEm.getValue_14() == null ? 0 : dayEm.getValue_14());\\n\\t dayValues[15] = (dayEm.getValue_15() == null ? 0 : dayEm.getValue_15());\\n\\t dayValues[16] = (dayEm.getValue_16() == null ? 0 : dayEm.getValue_16());\\n\\t dayValues[17] = (dayEm.getValue_17() == null ? 0 : dayEm.getValue_17());\\n\\t dayValues[18] = (dayEm.getValue_18() == null ? 0 : dayEm.getValue_18());\\n\\t dayValues[19] = (dayEm.getValue_19() == null ? 0 : dayEm.getValue_19());\\n\\t dayValues[20] = (dayEm.getValue_20() == null ? 0 : dayEm.getValue_20());\\n\\t dayValues[21] = (dayEm.getValue_21() == null ? 0 : dayEm.getValue_21());\\n\\t dayValues[22] = (dayEm.getValue_22() == null ? 0 : dayEm.getValue_22());\\n\\t dayValues[23] = (dayEm.getValue_23() == null ? 0 : dayEm.getValue_23());\\n\\t\\t\\t*/\\n\\t \\n\\t return dayValues;\\n\\t }\",\n \"public double movingAverage(int periods, int t)\\n {\\n if(periods>t + 1 || periods<1)\\n throw new IndexOutOfBoundsException(\\\"MA(\\\" + periods + \\\") is undefined at time \\\" + t);\\n double sum = 0.0;\\n for(int i = t - periods + 1; i<=t; i++)\\n sum += x[i];\\n return sum/periods;\\n }\",\n \"static double expon(double mean) {\\n return -mean * Math.log(Math.random());\\n }\",\n \"public double average(){\\r\\n\\t\\t//create variable to hold the values\\r\\n\\t\\tdouble average = 0;\\r\\n\\t\\t\\r\\n\\t\\tfor (int i = 0; i < this.data.length; i++){\\r\\n\\t\\t\\t//add current index\\r\\n\\t\\t\\taverage += this.data[i];\\r\\n\\t\\t\\t}\\r\\n\\t\\treturn (average/this.data.length);\\r\\n\\t}\",\n \"public MovingAverage(int size) {\\r\\n this.size = size;\\r\\n }\",\n \"public Series removeDelayedTrend(int depth)\\n {\\n if(depth<1 || depth>=size)\\n throw new IndexOutOfBoundsException();\\n Series oscillator = new Series();\\n oscillator.x = new double[oscillator.size = size - depth];\\n if(oscillator.size>1)\\n oscillator.r = new double[oscillator.size - 1];\\n for(int t = 0; t<oscillator.size; t++)\\n {\\n oscillator.x[t] = x[t + depth] - movingAverage(depth, t + depth);\\n if(t>0)\\n oscillator.r[t - 1] = Math.log(oscillator.x[t]/oscillator.x[t - 1]);\\n }\\n return oscillator;\\n }\",\n \"private float calculateMean()\\n { \\n int numberEmployees = employees.size();\\n float total = 0, meanGrossPay = 0;\\n // Create an array of all gross pays\\n float[] allGrossPay = new float[numberEmployees];\\n \\n // Call method to return an array of float containing all gross pays\\n allGrossPay = calculateAllGrossPay();\\n // Find total gross pay\\n for (int i = 0; i < numberEmployees; i++)\\n {\\n total += allGrossPay[i];\\n }\\n // Find mean and return it\\n if (numberEmployees > 0)\\n {\\n meanGrossPay = total/numberEmployees;\\n \\n }\\n return meanGrossPay;\\n }\",\n \"private double calculateFeesEarnedEachDayOfWeek(ArrayList<Pair<Fees, Time>> timeslots, DayOfWeek day) {\\n return daysOfWeek[day.ordinal()] * timeslots.stream()\\n .filter(p -> convertDayOfWeek(p.getValue().getDay()).equals(day))\\n .mapToDouble(p -> p.getValue().getTuitionHours() * p.getKey().getFeesValue())\\n .sum();\\n }\",\n \"public double averageDayDriveDistance(String day)\\n\\t{\\n\\t\\tint dayCount = 0; //total days run through\\n\\t\\tString currentDate = \\\"\\\";\\n\\t\\tdouble totalDistance = 0;\\n\\t\\tfor(int i = 0; i < saveData.size(); i++)\\n\\t\\t{\\n\\t\\t\\t//figures out the number of days, then averages the total by that number\\n\\t\\t\\tif(day.equals(saveData.get(i).get(\\\"day\\\")))\\n\\t\\t\\t{\\n\\t\\t\\t\\tif(currentDate.equals(\\\"\\\"))\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t//if there is no current date, we must have just started; set the variable\\n\\t\\t\\t\\t\\tcurrentDate = saveData.get(i).get(\\\"date\\\"); //.get(\\\"date\\\") to be replaced\\n\\t\\t\\t\\t\\ttotalDistance += saveData.get(i).get(\\\"distance\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse if(currentDate.equals(saveData.get(i).get(\\\"date\\\")))\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t//it's the same date, so add this distance to the total distance\\n\\t\\t\\t\\t\\ttotalDistance += saveData.get(i).get(\\\"distance\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t//it's a different date, so set the currentDate to this one,\\n\\t\\t\\t\\t\\t//increment the days counter;\\n\\t\\t\\t\\t\\tcurrentDate = saveData.get(i).get(\\\"date\\\");\\n\\t\\t\\t\\t\\tdayCount++;\\n\\t\\t\\t\\t\\t//add this drive to the total distance\\n\\t\\t\\t\\t\\ttotalDistance += saveData.get(i).get(\\\"distance\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t}\\n\\t\\t//after all the indexes of saveData have been run through\\n\\t\\t//clean up by increment the days counter\\n\\t\\tdayCount++;\\n\\t\\t//get the average by dividing the total distance by the days\\n\\t\\tdouble averageDistancePerDay = this.totalDriveDistance()/dayCount;\\n\\t}\",\n \"@Test\\r\\n\\tpublic void exerciseMovingAverage() {\\n\\t\\tList<Integer> temparaturArray = Arrays.asList(8, 7, 6, 6, 7, 7, 8, 10, 13, 16, 10, 20, 23, 26, 30, 29, 27, 45, 24, 23, 20, 18, 15, 11);\\r\\n\\t\\tObservable<Integer> temparaturSequence = Observable\\r\\n\\t\\t\\t\\t.interval(0, 1L, TimeUnit.HOURS, testScheduler)\\r\\n\\t\\t\\t\\t.take(temparaturArray.size())\\r\\n\\t\\t\\t\\t.map(i -> temparaturArray.get(i.intValue()));\\r\\n\\t\\t\\r\\n\\t\\t// TODO: calculate the moving average (SMA) of the given temperature sequence (each hour of a single day).\\r\\n\\t\\t// use the previous three values for each data point.\\r\\n // HINT: use a suitable overload of the same method used in \\\"Batching\\\"\\r\\n // and then calculate the average of each batch using LINQ\\r\\n // HINT: don't forget to pass the scheduler\\r\\n\\t\\tObservable<Double> movingAverage = Observable.empty();\\r\\n\\r\\n\\t\\t// verify\\r\\n\\t\\tTestSubscriber<Double> testSubscriber = new TestSubscriber<>();\\r\\n\\t\\tmovingAverage.subscribe(testSubscriber);\\r\\n\\r\\n\\t\\t// let the time elapse until completion\\r\\n\\t\\ttestScheduler.advanceTimeBy(1, TimeUnit.DAYS);\\r\\n\\t\\t\\r\\n\\t\\tlog(testSubscriber.getOnNextEvents());\\r\\n\\t\\t\\r\\n\\t\\ttestSubscriber.assertNoErrors();\\r\\n\\t\\ttestSubscriber.assertCompleted();\\r\\n\\t\\t\\r\\n\\t\\t// expected values:\\r\\n\\t\\tList<Double> expected = Arrays.asList(\\r\\n\\t\\t\\t\\t7.0, 6.333333333333333, 6.333333333333333, 6.666666666666667, 7.333333333333333, \\r\\n\\t\\t\\t\\t8.333333333333334, 10.333333333333334, 13.0, 13.0, 15.333333333333334, \\r\\n\\t\\t\\t\\t17.666666666666668, 23.0, 26.333333333333332, 28.333333333333332, \\r\\n\\t\\t\\t\\t28.666666666666668, 33.666666666666664, 32.0, 30.666666666666668, \\r\\n\\t\\t\\t\\t22.333333333333332, 20.333333333333332, 17.666666666666668, 14.666666666666666, \\r\\n\\t\\t\\t\\t// the last two values have limited input, i.e.\\r\\n\\t\\t\\t\\t// (15+11)/2 and (11)/1\\r\\n\\t\\t\\t\\t13.0, 11.0);\\r\\n\\t\\ttestSubscriber.assertReceivedOnNext(expected);\\r\\n\\t\\t\\r\\n\\t}\",\n \"public MovingAverage(int size) {\\n value = new int[size];\\n }\",\n \"double getYesterdaysExpenditureAmount() {\\n Long time = new Date().getTime();\\n Date date = new Date(time - time % (DAY_DURATION));\\n return getExpenditureAmount(date.getTime() - DAY_DURATION, date.getTime());\\n }\",\n \"public void findEasterDay()\\n {\\n while(year <= endYear)\\n {\\n EasterMath(year);\\n for(int j = 0; j < 11; j++)\\n {\\n for(int k = 0; k < 30; k++)\\n {\\n if(month == j && day == k)\\n {\\n dates[j][k]++;\\n }\\n }\\n }\\n year++;\\n }\\n }\",\n \"double average();\",\n \"public Double getTempAvgDaily() {\\r\\n\\t\\treturn tempAvgDaily;\\r\\n\\t}\",\n \"static double average(double[] data){\\n\\n // Initializing total placeholder \\n double total = 0;\\n\\n // Traversing data array and adding to total sum\\n for (double d : data) {\\n total += d;\\n }\\n\\n // Computing average\\n double average = (double) total / data.length;\\n\\n return average;\\n }\",\n \"protected static float[] computeMovingAverage(float[] values, int np) {\\n\\t\\tfloat[] mm = new float[values.length - np];\\n\\t\\tfor (int i = 0; i < mm.length; i++) {\\n\\t\\t\\tfloat sum = 0;\\n\\t\\t\\tfor (int j = 0; j < np; j++) {\\n\\t\\t\\t\\tsum = sum + values[i + j];\\n\\t\\t\\t}\\n\\t\\t\\tmm[i] = sum / np;\\n\\t\\t}\\n\\t\\treturn mm;\\n\\t}\",\n \"@Test\\n\\tpublic void averageWorksForModeSteps() {\\n\\t\\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\\n\\t\\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 10, 0)); // constant function = 10\\n\\t\\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\\n\\t\\tt1.addValues(TimeSeriesUtils.createStepFunction(5, 20, 25, 20, 0)); // constant function = 20\\n\\t\\tt0.setInterpolationMode(InterpolationMode.STEPS);\\n\\t\\tt1.setInterpolationMode(InterpolationMode.STEPS);\\n\\t\\tfinal ReadOnlyTimeSeries avg = MultiTimeSeriesUtils.getAverageTimeSeries(Arrays.<ReadOnlyTimeSeries> asList(t0, t1), 0, Long.MAX_VALUE, true, null, false);\\n\\t\\t// one data point outside time range, one boundary value should be added\\n\\t\\tAssert.assertEquals(\\\"Time series sum has wrong number of data points\\\", 13, avg.size());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 10, avg.getValue(7).getValue().getIntegerValue());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 15, avg.getValue(23).getValue().getIntegerValue());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 15, avg.getValue(100).getValue().getIntegerValue());\\n\\t}\",\n \"private double calculateAverage(Candle[] cd) {\\n double sum = 0; \\r\\n for(Candle c : cd) {\\r\\n sum += c.getClose();\\r\\n }\\r\\n return sum/cd.length;\\r\\n \\r\\n }\",\n \"private void PeriodMeanEvaluation () {\\n\\n float x = 0;\\n for(int i = 0; i < 3; i++)\\n {\\n for(int j = 0; j < numberOfSample; j++)\\n {\\n x = x + singleFrame[j][i];\\n }\\n meanOfPeriodCoord[i] = (x/numberOfSample);\\n x = 0;\\n }\\n }\",\n \"public double getElevationData(String date){\\n\\t\\tJSONArray array = new JSONArray(elevHistory);\\n\\t\\tfor(int i = 0; i<array.length();i++){\\n\\t\\t\\tJSONObject json = array.getJSONObject(i);\\n\\t\\t\\tif(json.get(\\\"dateTime\\\").equals(date))\\n\\t\\t\\t\\treturn Double.parseDouble(json.get(\\\"value\\\").toString());\\n\\t\\t}\\n\\t\\treturn -1;\\n\\t}\",\n \"public static double average(double[] array){\\n double sum = 0;\\n for (int i = 0; i < array.length; i++) {\\n sum += array[i];\\n }\\n return sum/array.length;\\n }\",\n \"public TimeDecayingAverage(double phi, double average) {\\n setPhi(phi);\\n this.average = average;\\n }\",\n \"public static void calculateAverage(double[] inputArray, int limit)\\r\\n\\t{\\r\\n\\t\\tIMovingAverage<Double> movingAvg = new MovingAverageImpl<Double>(limit);\\r\\n\\t\\tfor(double element : inputArray)\\r\\n\\t\\t{\\r\\n\\t\\t\\tmovingAvg.add(element);\\r\\n\\t\\t\\tSystem.out.println(\\\"Moving average is = \\\" +movingAvg.getAverage());\\r\\n\\t\\t}\\r\\n\\t\\tSystem.out.println(\\\"*********************************************************\\\");\\r\\n\\t}\",\n \"public double getMean() \\r\\n\\t{\\r\\n\\t\\tlong tmp = lastSampleTime - firstSampleTime;\\r\\n\\t\\treturn ( tmp > 0 ? sumPowerOne / (double) tmp : 0);\\r\\n\\t}\",\n \"public double MACDSignal(int t)\\n {\\n Series macd = new Series();\\n macd.x = new double[macd.size = t + 1];\\n for(int i = 0; i<=t; i++)\\n macd.x[i] = MACD(i);\\n return macd.expMovingAverage(9, t);\\n }\",\n \"double average() { // used double b/c I want decimal places\\n\\t\\tint sum = 0;\\n\\t\\tfor (int i = 0; i < array.length; i++) {\\n\\t\\t\\tsum = sum + array[i];\\n\\t\\t}\\n\\t\\tdouble average = (double) sum / array.length;\\n\\t\\treturn average;\\n\\n\\t}\",\n \"public static double rollingAvg(double value, double newEntry, double n, double weighting ) {\\r\\n return (value * n + newEntry * weighting)/(n + weighting);\\r\\n }\",\n \"static double userOnDay(final float rate, final int day) {\\n return Math.pow(rate, day);\\n }\",\n \"Execution getAverageExecutions();\",\n \"@DISPID(62)\\r\\n\\t// = 0x3e. The runtime will prefer the VTID if present\\r\\n\\t@VTID(60)\\r\\n\\tint averageRunTime_Days();\",\n \"public double computeE(double temperature) throws Exception {\\n int index = findPolynomial(temperature);\\n if (index!=BadIndex) {\\n double data = polynomials[index].compute(temperature);\\n\\n double correction = 0.0;\\n if (exponential!=null && temperature>0) {\\n // according to the function definition from NIST,\\n // the exponential term is available only for type K when temperature > 0\\n // Reference http://srdata.nist.gov/its90/download/download.html\\n correction = exponential.compute(temperature);\\n }\\n return data + correction;\\n }\\n else {\\n throw new Exception(getInputOutOrRangeMessage(temperature));\\n }\\n }\",\n \"public double average(double alternative) {\\n int cnt = 0;\\n double sum = 0.0;\\n\\n // Compute the average of all values\\n for (Number number : this) {\\n if (number == null) continue;\\n if (Double.isNaN(number.doubleValue())) continue;\\n\\n sum += number.doubleValue();\\n cnt++;\\n }\\n\\n // If we haven't had any element, return 0\\n if (cnt == 0) return alternative;\\n return sum / cnt;\\n }\",\n \"public static double avg(double[] array) {\\r\\n\\t\\tdouble ret = sum(array);\\r\\n\\t\\treturn ret / array.length;\\r\\n\\t}\",\n \"public float calculateAverageHigh() {\\n\\t\\t\\n\\t\\tfloat sum = 0;\\n\\t\\tfor (int i=0; i<temps.length; i++)\\n\\t\\t\\tsum += temps[i][0];\\n\\t\\treturn sum /= temps.length;\\n\\t\\t\\n\\t}\",\n \"public static double getAverage(double[] array)\\r\\n\\t{\\r\\n\\t\\tdouble sum = Σ(array);\\r\\n\\r\\n\\t\\tif (sum == 0 || array.length == 0)\\r\\n\\t\\t\\treturn 0;\\r\\n\\t\\treturn sum / array.length;\\r\\n\\t}\",\n \"double computeMAE(int paraK) {\\n\\t\\tdouble tempMae = 0;\\n\\t\\tint tempTotalCount = 0;\\n\\t\\t// Step 1. Predict the distribution\\n\\t\\tfor (int i = 0; i < dataModel.uTeRateInds.length; i++) {\\n\\t\\t\\tfor (int j = 0; j < dataModel.uTeRateInds[i].length; j++) {\\n\\t\\t\\t\\tint[] tempDistribution = predict(i, dataModel.uTeRateInds[i][j], paraK);\\n\\t\\t\\t\\tif (tempDistribution == null) {\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\t} // Of if\\n\\n\\t\\t\\t\\tdouble tempPrediction = 0;\\n\\t\\t\\t\\tint tempCount = 0;\\n\\t\\t\\t\\tfor (int k = 0; k < tempDistribution.length; k++) {\\n\\t\\t\\t\\t\\ttempPrediction += tempDistribution[k] * (k + 1);\\n\\t\\t\\t\\t\\ttempCount += tempDistribution[k];\\n\\t\\t\\t\\t} // Of for k\\n\\t\\t\\t\\ttempPrediction /= tempCount;\\n\\n\\t\\t\\t\\ttempMae += Math.abs(tempPrediction - dataModel.uTeRatings[i][j]);\\n\\t\\t\\t\\ttempTotalCount++;\\n\\t\\t\\t} // of for\\n\\t\\t} // of for i\\n\\n\\t\\tif (tempTotalCount > 1e-6) {\\n\\t\\t\\ttempMae /= tempTotalCount;\\n\\t\\t} // of\\n\\n\\t\\treturn tempMae;\\n\\t}\",\n \"public double average() {\\n return average(0.0);\\n }\",\n \"public static double averageOfNumbers(int n) {\\n Scanner keyedInput = new Scanner(System.in);\\n\\n double total = 0;\\n double[] values = new double[n];\\n\\n System.out.println(\\\"Please enter your values:\\\");\\n for (int i = 0; i < n; i = i + 1) {\\n values[i] = keyedInput.nextDouble();\\n total = total + values[i];\\n }\\n double a = (double) Math.round((total / n) * 100) / 100;\\n return a;\\n }\",\n \"public double average(){\\n double avg = 0;\\n double sum = 0;\\n for (T t : arr) {\\n // sum += t.doubleValue();\\n }\\n\\n return sum / arr.length;\\n }\",\n \"public static double[] berekenDagOmzet(double[] omzet) {\\n double[] temp = new double[DAYS_IN_WEEK];\\n \\n for(int i = 0; i < DAYS_IN_WEEK; i++) {\\n\\n int j = 0;\\n int counter = 0;\\n while( omzet.length > (i + DAYS_IN_WEEK * j) ) {\\n temp[i] += omzet[i + DAYS_IN_WEEK * j];\\n \\n j++;\\n counter++;\\n }\\n temp[i] = temp[i] / counter;\\n }\\n return temp;\\n }\",\n \"public Double computeAverage(){\\n\\t\\tdouble total = 0; //double used to keep total value of elements in arr to determine average\\n\\t\\t\\n\\t\\tfor(int i = 0; i < arr.length; i++)//loop through array and add the total\\n\\t\\t{\\n\\t\\t\\ttotal += arr[i].doubleValue(); //add current value of element in arr to total's value\\n\\t\\t}\\n\\t\\t\\n\\t\\tDouble result = total/arr.length; //returns the average as a Double\\n\\t\\t\\n\\t\\treturn result;\\n\\t}\",\n \"public double getAvg(){\\n double avg=0;\\n for(int x=0; x<max; x++){\\n avg=avg+times[x];\\n }\\n avg=avg/max;\\n return avg;\\n }\",\n \"public static double getAverage(Number[] array)\\r\\n\\t{\\r\\n\\t\\tdouble sum = Σ(array);\\r\\n\\r\\n\\t\\tif (sum == 0 || array.length == 0)\\r\\n\\t\\t\\treturn 0;\\r\\n\\t\\treturn sum / array.length;\\r\\n\\t}\",\n \"double avg(){\\n\\t\\tdouble sum = 0.0;\\n\\t\\tfor(int i=0;i<num.length;i++)\\n\\t\\t\\tsum+=num[i].doubleValue();\\n\\t\\treturn sum/num.length;\\n\\t}\",\n \"public double averageOfArray() {\\n double sum = 0;\\n double average = 0;\\n int i;\\n for (i = 0; i < sirDeLa1La100.length; i++) {\\n sum = sum + sirDeLa1La100[i];\\n }\\n average = sum / sirDeLa1La100.length;\\n return average;\\n }\",\n \"double getMeanPrice() {\\n List<Double> allPrices = new ArrayList<>();\\n\\n for (Firm firm : firms) {\\n List<Double> pricesOfFirm = firm.getPrices();\\n allPrices.addAll(pricesOfFirm.subList(pricesOfFirm.size() - SimulationManager.sizeOfExaminationInterval, pricesOfFirm.size()));\\n }\\n\\n return Calculation.round(Calculation.getMean(allPrices), 2);\\n }\",\n \"public static double arrayAverage(double[] array, double arraySize) {\\r\\n double averages = 0;\\r\\n for (int x = 0; x < arraySize; x++) {\\r\\n averages += array[x];\\r\\n }\\r\\n averages = (averages / arraySize);\\r\\n return averages;\\r\\n }\",\n \"public double arithmeticalMean(double[] arr) {\\n return 0;\\n }\",\n \"@WebMethod(operationName = \\\"average-increase-by-days\\\")\\n String getAverageInc(@WebParam(name = \\\"days\\\") int days) throws JsonProcessingException;\",\n \"public MovingAveragefromDataStream(int size) {\\n this.size = size;\\n }\",\n \"public static float[] returnMeanArray (float[] weatherArray){\\n float[] meanArray = new float[12];\\n for (int i = 0; i < 12; i++){\\n meanArray[i] = weatherArray[i]/30;\\n }\\n return meanArray;\\n }\",\n \"double average(double[] doubles) {\\n double total = 0.0;\\n //int count = 0;\\n for (double d: doubles) {\\n total = total + d;\\n //count = count + 1;\\n }\\n //return total / count;\\n return total / doubles.length;\\n }\",\n \"public double getMean() {\\n double timeWeightedSum = 0;\\n\\n for (int i = 0; i < accumulate.size() - 1; i++) {\\n timeWeightedSum += accumulate.get(i).value\\n * (accumulate.get(i + 1).timeOfChange\\n - accumulate.get(i).timeOfChange);\\n\\n }\\n LOG_HANDLER.logger.finer(\\\"timeWeightedSum Value: \\\" + timeWeightedSum\\n + \\\"totalOfQuueueEntries: \\\" + totalOfQueueEntries);\\n return timeWeightedSum / totalOfQueueEntries;\\n }\",\n \"public static double getAverage(int start, double[] d) {\\n double average = 0;\\n for (int i = 0; i < 110; i++) {\\n average = average + d[i];\\n }\\n return average / 110;\\n }\",\n \"static final float interp_energy(final float prev_e, final float next_e)\\n\\t{\\n\\t\\treturn (float)Math.pow( 10.0, (Math.log10( prev_e ) + Math.log10( next_e )) / 2.0 );\\n\\t}\",\n \"public static double getAverage(double[][] array)\\r\\n\\t{\\r\\n\\t\\tint count = 0;\\r\\n\\t\\tList<Double> lineSumList = new ArrayList<Double>();\\r\\n\\t\\tfor( int i = 0; i < array.length; i++ ) {\\r\\n\\t\\t\\tdouble lineSum = Σ(array[i]);\\r\\n\\t\\t\\tlineSumList.add(lineSum);\\r\\n\\t\\t\\tcount += array[i].length;\\r\\n\\t\\t}\\r\\n\\t\\tdouble sum = Σ(lineSumList);\\r\\n\\t\\t\\r\\n\\t\\tif (sum == 0 || array.length == 0)\\r\\n\\t\\t\\treturn 0;\\r\\n\\t\\treturn sum / count;\\r\\n\\t}\",\n \"public static double average(double[] employeeSalaries) {\\n\\t\\t double total=0;int month=0;\\n\\t\\t for(int i=0;i<employeeSalaries.length;i++) {\\n\\t\\t\\t if (employeeSalaries[i]>0) {\\n\\t\\t\\t\\t total+=employeeSalaries[i];\\n\\t\\t\\t\\t month++;\\n\\t\\t\\t }\\n\\t\\t\\t }\\n\\t\\t if (total==0) {\\n\\t\\t\\t throw new IllegalArgumentException(\\\"all values in the employeeSalaries array are zero.\\\");\\n\\t\\t }\\n\\treturn total/month;\\n\\t}\",\n \"static double averageDoubleArray(double[] inputArray) {\\n\\t\\tdouble doubleSum = 00.00;\\n\\t\\tfor (double element : inputArray) { \\n\\t\\t\\tdoubleSum += element;\\n\\t\\t}\\n\\t\\tdouble average = doubleSum / inputArray.length; \\n\\t\\treturn average;\\n\\t}\",\n \"public double getMean(){\\n\\t\\treturn Math.exp(location + scale * scale / 2);\\n\\t}\",\n \"public void setTempAvgDaily(Double tempAvgDaily) {\\r\\n\\t\\tthis.tempAvgDaily = tempAvgDaily;\\r\\n\\t}\",\n \"public double getAverage(){\\n return getTotal()/array.length;\\n }\",\n \"@Test\\n\\tpublic void averageWorksForModeNone() {\\n\\t\\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\\n\\t\\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 10, 0)); // constant function = 10\\n\\t\\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\\n\\t\\tt1.addValues(TimeSeriesUtils.createStepFunction(5, 20, 25, 20, 0)); // constant function = 20\\n\\t\\tfinal ReadOnlyTimeSeries avg = MultiTimeSeriesUtils.getAverageTimeSeries(Arrays.<ReadOnlyTimeSeries> asList(t0, t1), 0, Long.MAX_VALUE, true, null, false);\\n\\t\\tAssert.assertEquals(\\\"Time series sum has wrong number of data points\\\", 13, avg.size());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 15, avg.getValue(20).getValue().getIntegerValue());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 20, avg.getValue(45).getValue().getIntegerValue());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 10, avg.getValue(80).getValue().getIntegerValue());\\n\\t}\",\n \"public static double getAverage(double[] dataArray) {\\n\\t\\t\\n\\t\\tdouble average = 0.0;\\n\\t\\t\\n\\t\\tfor (int i = 0; i <dataArray.length; i++) {\\n\\t\\t\\taverage += dataArray[i];\\n\\t\\t}\\n\\t\\t\\n\\t\\taverage = average/dataArray.length;\\n\\t\\t\\n\\t\\treturn average;\\n\\t}\",\n \"public static Double computeMean(Double[] values) {\\n\\t\\treturn computeMean(values, 0, values.length);\\n\\t}\",\n \"private double[][] calculateExafsEnergiesConstantKStep() {\\n\\t\\tdouble lowK = evToK(cEnergy);\\n\\t\\tdouble highK = evToK(finalEnergy);\\n\\t\\tdouble[][] kArray = createStepArray(lowK, highK, exafsStep, exafsTime, true, numberDetectors);\\n\\t\\t// convert from k to energy in each element\\n\\t\\tfor (int i = 0; i < kArray.length; i++)\\n\\t\\t\\tkArray[i][0] = kToEv(kArray[i][0]);\\n\\t\\treturn kArray;\\n\\t}\",\n \"public MovingAverage(int size) {\\n q = new LinkedList();\\n this.size = size;\\n sum = 0;\\n }\",\n \"public int avgProhibitedItemsPerDay(){\\r\\n \\r\\n int trav=apstate.gettravellers();\\r\\n\\t\\tint days=apstate.getdays();\\r\\n\\t\\tint items=apstate.getitems();\\r\\n \\r\\n int avg_prohibited_items_per_day=items/days;\\r\\n \\r\\n return avg_prohibited_items_per_day;\\r\\n }\",\n \"private double getAvg() {\\n\\n double sum = 0;\\n\\n for (Map.Entry<Integer, Double> entry : values.entrySet()) {\\n sum += entry.getValue();\\n }\\n\\n if (values.size() > 0) {\\n return sum / values.size();\\n } else {\\n throw new IllegalStateException(\\\"no values\\\");\\n }\\n }\",\n \"private double calc_E(KeplerElements a) {\\n\\t\\tdouble sqrome2 = Math.sqrt(1.0 - a.e * a.e);\\r\\n\\t\\tdouble cta = Math.cos(a.ta);\\r\\n\\t\\tdouble sta = Math.sin(a.ta);\\r\\n\\t\\tdouble sine0 = (sqrome2 * sta) / (1.0 + a.e * cta);\\r\\n\\t\\tdouble cose0 = (a.e + cta) / (1.0 + a.e * cta);\\r\\n\\t\\tdouble e0 = Math.atan2(sine0, cose0);\\r\\n\\t\\treturn e0;\\r\\n\\r\\n\\t}\",\n \"public final EObject entryRuleAverageOperator() throws RecognitionException {\\n EObject current = null;\\n\\n EObject iv_ruleAverageOperator = null;\\n\\n\\n try {\\n // ../de.hs_rm.cs.vs.dsm.flow/src-gen/de/hs_rm/cs/vs/dsm/parser/antlr/internal/InternalFlow.g:2972:2: (iv_ruleAverageOperator= ruleAverageOperator EOF )\\n // ../de.hs_rm.cs.vs.dsm.flow/src-gen/de/hs_rm/cs/vs/dsm/parser/antlr/internal/InternalFlow.g:2973:2: iv_ruleAverageOperator= ruleAverageOperator EOF\\n {\\n newCompositeNode(grammarAccess.getAverageOperatorRule()); \\n pushFollow(FOLLOW_ruleAverageOperator_in_entryRuleAverageOperator6654);\\n iv_ruleAverageOperator=ruleAverageOperator();\\n\\n state._fsp--;\\n\\n current =iv_ruleAverageOperator; \\n match(input,EOF,FOLLOW_EOF_in_entryRuleAverageOperator6664); \\n\\n }\\n\\n }\\n \\n catch (RecognitionException re) { \\n recover(input,re); \\n appendSkippedTokens();\\n } \\n finally {\\n }\\n return current;\\n }\",\n \"public final EObject entryRuleAverageFunction() throws RecognitionException {\\r\\n EObject current = null;\\r\\n\\r\\n EObject iv_ruleAverageFunction = null;\\r\\n\\r\\n\\r\\n try {\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3257:2: (iv_ruleAverageFunction= ruleAverageFunction EOF )\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3258:2: iv_ruleAverageFunction= ruleAverageFunction EOF\\r\\n {\\r\\n if ( state.backtracking==0 ) {\\r\\n newCompositeNode(grammarAccess.getAverageFunctionRule()); \\r\\n }\\r\\n pushFollow(FOLLOW_ruleAverageFunction_in_entryRuleAverageFunction6944);\\r\\n iv_ruleAverageFunction=ruleAverageFunction();\\r\\n\\r\\n state._fsp--;\\r\\n if (state.failed) return current;\\r\\n if ( state.backtracking==0 ) {\\r\\n current =iv_ruleAverageFunction; \\r\\n }\\r\\n match(input,EOF,FOLLOW_EOF_in_entryRuleAverageFunction6954); if (state.failed) return current;\\r\\n\\r\\n }\\r\\n\\r\\n }\\r\\n \\r\\n catch (RecognitionException re) { \\r\\n recover(input,re); \\r\\n appendSkippedTokens();\\r\\n } \\r\\n finally {\\r\\n }\\r\\n return current;\\r\\n }\",\n \"public double mean()\\n {\\n double sum = 0.0;\\n for(int t = 0; t<size; t++)\\n sum += x[t];\\n return sum/size;\\n }\",\n \"public double getMean(final int d) {\\n double sum = 0;\\n int numPoints = getNumPoints();\\n\\n for (int i = 0; i < numPoints; i++) {\\n sum += getComponent(i, d);\\n }\\n\\n return sum / numPoints;\\n }\",\n \"private void calculateMean(float total){\\r\\n float averageBonds = total/accountInTotal;\\r\\n float averageAER = (averageBonds-startingBonds)/(startingBonds/100);\\r\\n\\r\\n Account averageAccount = new Account(startingBonds,averageBonds,averageAER);\\r\\n System.out.println(averageAccount.toString());\\r\\n\\r\\n }\",\n \"public ArrayList<Forecast> getForecastsForDay( int day ) {\\n if (forecasts.size() == 0) {\\n return null;\\n }\\n\\n int startIndex = 0;\\n int endIndex = 0;\\n\\n if (day < 8) {\\n startIndex = dayIndices[day];\\n }\\n\\n if (startIndex == -1) {\\n return null;\\n }\\n\\n if (day < 7) {\\n endIndex = dayIndices[day+1];\\n if (endIndex < 0) {\\n endIndex = forecasts.size();\\n }\\n } else {\\n endIndex = forecasts.size();\\n }\\n\\n return new ArrayList<>(forecasts.subList(startIndex, endIndex));\\n }\",\n \"public static double meanOf(double... values) {\\n/* 433 */ Preconditions.checkArgument((values.length > 0));\\n/* 434 */ double mean = values[0];\\n/* 435 */ for (int index = 1; index < values.length; index++) {\\n/* 436 */ double value = values[index];\\n/* 437 */ if (Doubles.isFinite(value) && Doubles.isFinite(mean)) {\\n/* */ \\n/* 439 */ mean += (value - mean) / (index + 1);\\n/* */ } else {\\n/* 441 */ mean = StatsAccumulator.calculateNewMeanNonFinite(mean, value);\\n/* */ } \\n/* */ } \\n/* 444 */ return mean;\\n/* */ }\",\n \"private float averageBeat(){\\n float avgBeat = 0f;\\n List<Float> beatRed = DataManager.getInstance().getBeatRed();\\n List<Float> beatIR = DataManager.getInstance().getBeatIR();\\n\\n for(int i = 0; i < beatRed.size() && i < beatIR.size(); i ++ ){\\n chartFragment.addRedData(beatRed.get(i));\\n chartFragment.addIRData(beatIR.get(i));\\n avgBeat += beatRed.get(i);\\n avgBeat += beatIR.get(i);\\n }\\n avgBeat = avgBeat / (beatRed.size() + beatIR.size());\\n\\n if (tcpTask != null )\\n this.tcpTask.addData(\\\"\\\" + avgBeat);\\n beatLabel.setText(\\\"Beat : \\\" + avgBeat);\\n return avgBeat;\\n }\",\n \"public double average()\\n\\t{\\n\\t\\tif (arraySize > 0)\\n\\t\\t{\\n\\t\\t\\tdouble sum = this.sum();\\n\\t\\t\\treturn sum / arraySize;\\n\\t\\t}\\n\\t\\tSystem.out.println(\\\"Syntax error, array is empty.\\\");\\n\\t\\treturn -1;\\n\\t}\",\n \"public final EObject entryRuleExponentialFunction() throws RecognitionException {\\r\\n EObject current = null;\\r\\n\\r\\n EObject iv_ruleExponentialFunction = null;\\r\\n\\r\\n\\r\\n try {\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3431:2: (iv_ruleExponentialFunction= ruleExponentialFunction EOF )\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3432:2: iv_ruleExponentialFunction= ruleExponentialFunction EOF\\r\\n {\\r\\n if ( state.backtracking==0 ) {\\r\\n newCompositeNode(grammarAccess.getExponentialFunctionRule()); \\r\\n }\\r\\n pushFollow(FOLLOW_ruleExponentialFunction_in_entryRuleExponentialFunction7290);\\r\\n iv_ruleExponentialFunction=ruleExponentialFunction();\\r\\n\\r\\n state._fsp--;\\r\\n if (state.failed) return current;\\r\\n if ( state.backtracking==0 ) {\\r\\n current =iv_ruleExponentialFunction; \\r\\n }\\r\\n match(input,EOF,FOLLOW_EOF_in_entryRuleExponentialFunction7300); if (state.failed) return current;\\r\\n\\r\\n }\\r\\n\\r\\n }\\r\\n \\r\\n catch (RecognitionException re) { \\r\\n recover(input,re); \\r\\n appendSkippedTokens();\\r\\n } \\r\\n finally {\\r\\n }\\r\\n return current;\\r\\n }\",\n \"private double logSumExp(double x[]) {\\n double maxx = Double.NEGATIVE_INFINITY;\\n for (double d : x) {\\n if (d > maxx) { maxx = d; }\\n }\\n double sum = 0.0;\\n for (double d : x) {\\n sum += Math.exp(d-maxx);\\n }\\n return maxx + Math.log(sum);\\n }\",\n \"public static boolean emaMomentumExists(Stock stock, String date, boolean fractal) {\\r\\n\\t\\t\\tdate = stock.getClosestDate(date);\\r\\n\\r\\n\\t\\t\\tint timePeriod = stock.getTimePeriod();\\r\\n\\t\\t\\tint startingIndex = stock.getDates().indexOf(date) - timePeriod + 1;\\r\\n\\t\\t\\tint endingIndex = stock.getDates().indexOf(date);\\r\\n\\t\\t\\tdouble rateOfChange = 0;\\r\\n\\t\\t\\tdouble previousRateOfChange = 0;\\r\\n\\t\\t\\tdouble[] ratesOfChange = new double[timePeriod];\\r\\n\\t\\t\\tfor (int i = startingIndex; i < endingIndex; i++) {\\r\\n\\t\\t\\t\\tString iDate1 = stock.getDates().get(i);\\r\\n\\t\\t\\t\\tString iDate2 = stock.getDates().get(i + 1);\\r\\n\\t\\t\\t\\tdouble ema1 = stock.getEMA(iDate1);\\r\\n\\t\\t\\t\\tdouble ema2 = stock.getEMA(iDate2);\\r\\n\\t\\t\\t\\tdouble emaFifty1 = stock.getFiftyEMA(iDate1);\\r\\n\\t\\t\\t\\tdouble emaFifty2 = stock.getFiftyEMA(iDate2);\\r\\n\\t\\t\\t\\tdouble hist1 = ema1 - emaFifty1;\\r\\n\\t\\t\\t\\tdouble hist2 = ema2 - emaFifty2;\\r\\n\\t\\t\\t\\tdouble change = hist2 - hist1;\\r\\n\\t\\t\\t\\tratesOfChange[i - startingIndex] = change;\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\tdouble multiplier = (2.0 / (double) (timePeriod + 1));\\r\\n\\t\\t\\tpreviousRateOfChange = ratesOfChange[0];\\r\\n\\t\\t\\tdouble ema = 0;\\r\\n\\t\\t\\tfor (int i = 1; i < ratesOfChange.length; i++) {\\r\\n\\t\\t\\t\\trateOfChange = ratesOfChange[i];\\r\\n\\t\\t\\t\\tema = ((rateOfChange - previousRateOfChange) * multiplier) + previousRateOfChange;\\r\\n\\t\\t\\t\\tpreviousRateOfChange = ema;\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\tif (!fractal && postiveCross(stock, date, stock.getTimePeriod()) && ema > .04) { \\r\\n\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t} else if (fractal && ema > 0) {\\r\\n\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\treturn false;\\r\\n\\t\\t}\",\n \"@DISPID(67)\\r\\n\\t// = 0x43. The runtime will prefer the VTID if present\\r\\n\\t@VTID(65)\\r\\n\\tint averageCPUTime_Days();\",\n \"public int avgTrafficPerDay(){\\r\\n \\r\\n int trav=apstate.gettravellers();\\r\\n\\t\\tint days=apstate.getdays();\\r\\n\\t\\tint items=apstate.getitems();\\r\\n \\r\\n int avg_traffic_per_day=trav/days;\\r\\n \\r\\n return avg_traffic_per_day;\\r\\n }\",\n \"Date NextEvent(Date d);\",\n \"public synchronized double getAverage() {\\n return average;\\n }\",\n \"double getTodaysExpenditureAmount() {\\n Long time = new Date().getTime();\\n Date date = new Date(time - time % (DAY_DURATION));\\n return getExpenditureAmount(date.getTime(), date.getTime() + (DAY_DURATION));\\n }\",\n \"public static Date averageDate(List<Date> theDates){\\r\\n\\t\\t\\r\\n\\t\\tif ((theDates == null) || (theDates.size() == 0)){\\r\\n\\t\\t\\treturn new Date();\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tDate earliestDate = null;\\r\\n\\t\\tDate latestDate = null;\\r\\n\\t\\t\\r\\n\\t\\tfor (ListIterator li = theDates.listIterator(); li.hasNext();) {\\r\\n\\t\\t\\tDate thisDate = (Date) li.next();\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tif (earliestDate == null){\\r\\n\\t\\t\\t\\tearliestDate = thisDate;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tif (latestDate == null){\\r\\n\\t\\t\\t\\tlatestDate = thisDate;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tif (thisDate.before(earliestDate)){\\r\\n\\t\\t\\t\\tearliestDate = thisDate;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tif (latestDate.after(thisDate)){\\r\\n\\t\\t\\t\\tlatestDate = thisDate;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tlong averageOfExtremes = (earliestDate.getTime() + latestDate.getTime() ) /2;\\r\\n\\t\\t\\r\\n\\t\\treturn new Date(averageOfExtremes);\\r\\n\\t}\",\n \"@Override\\n public Double average() {\\n return (sum() / (double) count());\\n }\",\n \"public double getAverage(){\\r\\n\\t\\tdouble sum=0;\\r\\n\\t\\tfor(Iterator<T> it=this.iterator();it.hasNext();){\\r\\n\\t\\t\\tsum+=it.next().doubleValue();\\r\\n\\t\\t}\\r\\n\\t\\treturn sum/this.size();\\r\\n\\t}\",\n \"public ArrayList<Event> eventsInDay(LocalDate day) {\\n ArrayList<Event> myList = new ArrayList<>();\\n for (Event e : myAgenda) {\\n if (e.isInDay(day)) {\\n myList.add(e);\\n }\\n }\\n return myList;\\n }\",\n \"public double compute_dEdT(double temperature) throws Exception {\\n int index = findPolynomial(temperature);\\n if (index!=BadIndex) {\\n double data = polynomials[index].compute_dEdT(temperature);\\n\\n double correction = 0.0;\\n if (exponential!=null && temperature>0) {\\n // according to the function definition from NIST,\\n // the exponential term is available only for type K when temperature > 0\\n // Reference http://srdata.nist.gov/its90/download/download.html\\n correction = exponential.compute_dEdT(temperature);\\n }\\n return data + correction;\\n }\\n else {\\n throw new Exception(getInputOutOrRangeMessage(temperature));\\n }\\n }\",\n \"private float calculateAverage(List<Float> tempVoltages) {\\r\\n\\t\\t\\r\\n\\t\\tfloat runningTotal = 0;\\r\\n\\t\\tfor(float i : tempVoltages){\\r\\n\\t\\t\\trunningTotal += i;\\r\\n\\t\\t}\\r\\n\\t\\trunningTotal /= tempVoltages.size();\\r\\n\\t\\treturn runningTotal;\\r\\n\\t}\",\n \"public double calcAvg() {\\n\\t\\treturn (double)calcSum() / data.size();\\n }\",\n \"public int average()\\n {\\n int average = 0;\\n int sum = 0;\\n\\n for ( int index = 0; index < data.length; index++ )\\n {\\n sum = sum + data[index];\\n }\\n average = sum / data.length;\\n\\n return average;\\n }\",\n \"public void advanceDay(long day) {\\n clock = Clock.offset(clock, Duration.ofDays(day));\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.57069635","0.5461666","0.5426084","0.5391336","0.5247684","0.52086073","0.5170173","0.50805634","0.5071065","0.5043507","0.5042026","0.50237584","0.50073195","0.5001429","0.49868557","0.49804515","0.49752748","0.4914446","0.4875539","0.48647755","0.48327154","0.48134676","0.48081124","0.47969258","0.4784239","0.4746375","0.4736118","0.47204885","0.47178856","0.4686257","0.46858785","0.467238","0.46512887","0.4648858","0.46468624","0.4623239","0.46212125","0.461954","0.4609381","0.46039975","0.46018547","0.46013257","0.46012196","0.46007735","0.459081","0.45639697","0.4563888","0.45622343","0.45434114","0.45414641","0.45366904","0.45335954","0.45283136","0.4526826","0.45220488","0.45144668","0.45122796","0.45011646","0.44915035","0.44902357","0.44812325","0.44774565","0.4469306","0.44541204","0.44459936","0.44383106","0.44378385","0.4434803","0.44246605","0.4418783","0.4405849","0.44044164","0.4400277","0.43985334","0.43933967","0.43927702","0.43882382","0.4373712","0.4367384","0.43658206","0.43654257","0.43608052","0.43526852","0.43502873","0.4345198","0.43446356","0.43433112","0.43352878","0.43227616","0.4319989","0.43194312","0.43191683","0.4316756","0.43150687","0.43135214","0.4310991","0.43056473","0.43043956","0.4302887","0.43026772"],"string":"[\n \"0.57069635\",\n \"0.5461666\",\n \"0.5426084\",\n \"0.5391336\",\n \"0.5247684\",\n \"0.52086073\",\n \"0.5170173\",\n \"0.50805634\",\n \"0.5071065\",\n \"0.5043507\",\n \"0.5042026\",\n \"0.50237584\",\n \"0.50073195\",\n \"0.5001429\",\n \"0.49868557\",\n \"0.49804515\",\n \"0.49752748\",\n \"0.4914446\",\n \"0.4875539\",\n \"0.48647755\",\n \"0.48327154\",\n \"0.48134676\",\n \"0.48081124\",\n \"0.47969258\",\n \"0.4784239\",\n \"0.4746375\",\n \"0.4736118\",\n \"0.47204885\",\n \"0.47178856\",\n \"0.4686257\",\n \"0.46858785\",\n \"0.467238\",\n \"0.46512887\",\n \"0.4648858\",\n \"0.46468624\",\n \"0.4623239\",\n \"0.46212125\",\n \"0.461954\",\n \"0.4609381\",\n \"0.46039975\",\n \"0.46018547\",\n \"0.46013257\",\n \"0.46012196\",\n \"0.46007735\",\n \"0.459081\",\n \"0.45639697\",\n \"0.4563888\",\n \"0.45622343\",\n \"0.45434114\",\n \"0.45414641\",\n \"0.45366904\",\n \"0.45335954\",\n \"0.45283136\",\n \"0.4526826\",\n \"0.45220488\",\n \"0.45144668\",\n \"0.45122796\",\n \"0.45011646\",\n \"0.44915035\",\n \"0.44902357\",\n \"0.44812325\",\n \"0.44774565\",\n \"0.4469306\",\n \"0.44541204\",\n \"0.44459936\",\n \"0.44383106\",\n \"0.44378385\",\n \"0.4434803\",\n \"0.44246605\",\n \"0.4418783\",\n \"0.4405849\",\n \"0.44044164\",\n \"0.4400277\",\n \"0.43985334\",\n \"0.43933967\",\n \"0.43927702\",\n \"0.43882382\",\n \"0.4373712\",\n \"0.4367384\",\n \"0.43658206\",\n \"0.43654257\",\n \"0.43608052\",\n \"0.43526852\",\n \"0.43502873\",\n \"0.4345198\",\n \"0.43446356\",\n \"0.43433112\",\n \"0.43352878\",\n \"0.43227616\",\n \"0.4319989\",\n \"0.43194312\",\n \"0.43191683\",\n \"0.4316756\",\n \"0.43150687\",\n \"0.43135214\",\n \"0.4310991\",\n \"0.43056473\",\n \"0.43043956\",\n \"0.4302887\",\n \"0.43026772\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6108191"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":19791,"cells":{"query":{"kind":"string","value":"Returns the \"standard\" MACD for the series for the given day. Developed by Gerald Appel, Moving Average Convergence/Divergence (MACD) is one of the simplest and most reliable indicators available. MACD uses moving averages, which are lagging indicators, to include some trendfollowing characteristics. These lagging indicators are turned into a momentum oscillator by subtracting the longer moving average from the shorter moving average. The resulting plot forms a line that oscillates above and below zero, without any upper or lower limits. The \"standard\" formula for the MACD is the difference between a security's 26day and 12day Exponential Moving Averages (EMAs). This is the formula that is used in many popular technical analysis programs."},"document":{"kind":"string","value":"public double MACD(int t)\n {\n return MACD(26, 12, t);\n }"},"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":["public double MACDSignal(int t)\n {\n Series macd = new Series();\n macd.x = new double[macd.size = t + 1];\n for(int i = 0; i<=t; i++)\n macd.x[i] = MACD(i);\n return macd.expMovingAverage(9, t);\n }","@Override \r\n protected void calculate(int index, DataContext ctx)\r\n {\r\n DataSeries series = ctx.getDataSeries();\r\n boolean complete=true;\r\n \r\n /*\r\n int macdPeriod1 = getSettings().getInteger(MACD_PERIOD1, 12);\r\n int macdPeriod2 = getSettings().getInteger(MACD_PERIOD2, 26);\r\n Enums.MAMethod macdMethod = getSettings().getMAMethod(MACD_METHOD, Enums.MAMethod.EMA);\r\n Object macdInput = getSettings().getInput(MACD_INPUT, Enums.BarInput.CLOSE);\r\n if (index >= Util.max(macdPeriod1, macdPeriod2)) {\r\n Double MA1 = null, MA2 = null;\r\n MA1 = series.ma(macdMethod, index, macdPeriod1, macdInput);\r\n MA2 = series.ma(macdMethod, index, macdPeriod2, macdInput);\r\n \r\n double MACD = MA1 - MA2; \r\n series.setDouble(index, Values.MACD, MACD);\r\n\r\n int signalPeriod = getSettings().getInteger(Inputs.SIGNAL_PERIOD, 9);\r\n\r\n // Calculate moving average of MACD (signal line)\r\n Double signal = series.ma(getSettings().getMAMethod(Inputs.SIGNAL_METHOD, Enums.MAMethod.SMA), index, signalPeriod, Values.MACD);\r\n series.setDouble(index, Values.SIGNAL, signal);\r\n \r\n if (signal != null) series.setDouble(index, Values.HIST, MACD - signal);\r\n\r\n if (series.isBarComplete(index)) {\r\n // Check for signal events\r\n Coordinate c = new Coordinate(series.getStartTime(index), signal);\r\n if (crossedAbove(series, index, Values.MACD, Values.SIGNAL)) {\r\n MarkerInfo marker = getSettings().getMarker(Inputs.UP_MARKER);\r\n String msg = get(\"SIGNAL_MACD_CROSS_ABOVE\", MACD, signal);\r\n if (marker.isEnabled()) addFigure(new Marker(c, Enums.Position.BOTTOM, marker, msg));\r\n ctx.signal(index, Signals.CROSS_ABOVE, msg, signal);\r\n }\r\n else if (crossedBelow(series, index, Values.MACD, Values.SIGNAL)) {\r\n MarkerInfo marker = getSettings().getMarker(Inputs.DOWN_MARKER);\r\n String msg = get(\"SIGNAL_MACD_CROSS_BELOW\", MACD, signal);\r\n if (marker.isEnabled()) addFigure(new Marker(c, Enums.Position.TOP, marker, msg));\r\n ctx.signal(index, Signals.CROSS_BELOW, msg, signal);\r\n }\r\n }\r\n }\r\n else complete=false;\r\n \r\n int rsiPeriod = getSettings().getInteger(RSI_PERIOD);\r\n Object rsiInput = getSettings().getInput(RSI_INPUT);\r\n if (index < 1) return; // not enough data\r\n \r\n double diff = series.getDouble(index, rsiInput) - series.getDouble(index-1, rsiInput);\r\n double up = 0, down = 0;\r\n if (diff > 0) up = diff;\r\n else down = diff;\r\n \r\n series.setDouble(index, Values.UP, up);\r\n series.setDouble(index, Values.DOWN, Math.abs(down));\r\n \r\n if (index <= rsiPeriod +1) return;\r\n \r\n Enums.MAMethod method = getSettings().getMAMethod(RSI_METHOD);\r\n double avgUp = series.ma(method, index, rsiPeriod, Values.UP);\r\n double avgDown = series.ma(method, index, rsiPeriod, Values.DOWN);\r\n double RS = avgUp / avgDown;\r\n double RSI = 100.0 - ( 100.0 / (1.0 + RS));\r\n\r\n series.setDouble(index, Values.RSI, RSI);\r\n \r\n // Do we need to generate a signal?\r\n GuideInfo topGuide = getSettings().getGuide(Inputs.TOP_GUIDE);\r\n GuideInfo bottomGuide = getSettings().getGuide(Inputs.BOTTOM_GUIDE);\r\n if (crossedAbove(series, index, Values.RSI, topGuide.getValue())) {\r\n series.setBoolean(index, Signals.RSI_TOP, true);\r\n ctx.signal(index, Signals.RSI_TOP, get(\"SIGNAL_RSI_TOP\", topGuide.getValue(), round(RSI)), round(RSI));\r\n }\r\n else if (crossedBelow(series, index, Values.RSI, bottomGuide.getValue())) {\r\n series.setBoolean(index, Signals.RSI_BOTTOM, true);\r\n ctx.signal(index, Signals.RSI_BOTTOM, get(\"SIGNAL_RSI_BOTTOM\", bottomGuide.getValue(), round(RSI)), round(RSI));\r\n }\r\n */\r\n series.setComplete(index, complete);\r\n }","public abstract int getDeviation(\n CalendarDate calendarDay,\n TZID tzid\n );","public double MACD(int slow, int fast, int t)\n {\n if(slow<=fast)\n throw new IndexOutOfBoundsException(\"MACD(\" + slow + \" - \" +\n fast + \") is undefined at time \" + t);\n return expMovingAverage(slow, t) - expMovingAverage(fast, t);\n }","public String[] defineDaysLine(String day) {\n int shiftPositions = -1;\n String[] definedDayLine = {Const.DAY_SUNDAY, Const.DAY_MONDAY, Const.DAY_TUESDAY, Const.DAY_WEDNESDAY,\n Const.DAY_THURSDAY, Const.DAY_FRIDAY, Const.DAY_SATURDAY};\n for (int i = 0; i < definedDayLine.length; i++) {\n if (day.equals(definedDayLine[i])) {\n shiftPositions = i;\n }\n }\n String[] tempArray = new String[definedDayLine.length];\n System.arraycopy(definedDayLine, shiftPositions, tempArray, 0, definedDayLine.length - shiftPositions);\n System.arraycopy(definedDayLine, 0, tempArray, definedDayLine.length - shiftPositions, shiftPositions);\n return tempArray;\n }","@Test\n public void getSecurityPriceTechnicalsMacdTest() throws ApiException, NoSuchMethodException {\n String identifier = null;\n Integer fastPeriod = null;\n Integer slowPeriod = null;\n Integer signalPeriod = null;\n String priceKey = null;\n String startDate = null;\n String endDate = null;\n Integer pageSize = null;\n String nextPage = null;\n ApiResponseSecurityMovingAverageConvergenceDivergence response = api.getSecurityPriceTechnicalsMacd(identifier, fastPeriod, slowPeriod, signalPeriod, priceKey, startDate, endDate, pageSize, nextPage);\n\n // TODO: test validations\n }","private Double[] getDayValue24(DayEM dayEm) {\n\n\t Double[] dayValues = new Double[24];\n\n\t /* OPF-610 정규화 관련 처리로 인한 주석\n\t dayValues[0] = (dayEm.getValue_00() == null ? 0 : dayEm.getValue_00());\n\t dayValues[1] = (dayEm.getValue_01() == null ? 0 : dayEm.getValue_01());\n\t dayValues[2] = (dayEm.getValue_02() == null ? 0 : dayEm.getValue_02());\n\t dayValues[3] = (dayEm.getValue_03() == null ? 0 : dayEm.getValue_03());\n\t dayValues[4] = (dayEm.getValue_04() == null ? 0 : dayEm.getValue_04());\n\t dayValues[5] = (dayEm.getValue_05() == null ? 0 : dayEm.getValue_05());\n\t dayValues[6] = (dayEm.getValue_06() == null ? 0 : dayEm.getValue_06());\n\t dayValues[7] = (dayEm.getValue_07() == null ? 0 : dayEm.getValue_07());\n\t dayValues[8] = (dayEm.getValue_08() == null ? 0 : dayEm.getValue_08());\n\t dayValues[9] = (dayEm.getValue_09() == null ? 0 : dayEm.getValue_09());\n\t dayValues[10] = (dayEm.getValue_10() == null ? 0 : dayEm.getValue_10());\n\t dayValues[11] = (dayEm.getValue_11() == null ? 0 : dayEm.getValue_11());\n\t dayValues[12] = (dayEm.getValue_12() == null ? 0 : dayEm.getValue_12());\n\t dayValues[13] = (dayEm.getValue_13() == null ? 0 : dayEm.getValue_13());\n\t dayValues[14] = (dayEm.getValue_14() == null ? 0 : dayEm.getValue_14());\n\t dayValues[15] = (dayEm.getValue_15() == null ? 0 : dayEm.getValue_15());\n\t dayValues[16] = (dayEm.getValue_16() == null ? 0 : dayEm.getValue_16());\n\t dayValues[17] = (dayEm.getValue_17() == null ? 0 : dayEm.getValue_17());\n\t dayValues[18] = (dayEm.getValue_18() == null ? 0 : dayEm.getValue_18());\n\t dayValues[19] = (dayEm.getValue_19() == null ? 0 : dayEm.getValue_19());\n\t dayValues[20] = (dayEm.getValue_20() == null ? 0 : dayEm.getValue_20());\n\t dayValues[21] = (dayEm.getValue_21() == null ? 0 : dayEm.getValue_21());\n\t dayValues[22] = (dayEm.getValue_22() == null ? 0 : dayEm.getValue_22());\n\t dayValues[23] = (dayEm.getValue_23() == null ? 0 : dayEm.getValue_23());\n\t\t\t*/\n\t \n\t return dayValues;\n\t }","public void generateMahadashaAndAntardashaTable(Vector<MahaDashaBean> dasha, PdfContentByte canvas, String planetname, int tableX, float tableY,ColorElement mycolor) {\n\t\tFont font = new Font();\n\t\tfont.setSize(this.getTableDatafont());\n\t\tfont.setColor(mycolor.fillColor(getTableDataColor()));\n\t\t//Font font2 = new Font();\n\t\t// font2.setSize(this.getTableDatafont());\n\t\t// font2.setStyle(\"BOLD\");\n\t\tFont font3 = new Font();\n\t\tfont3.setSize(this.getSemiHeading());\n\t\tfont3.setColor(mycolor.fillColor(getTableHeadingColor()));\n\t\t// RashiHouseBean rashiBean=null;\n\t\tMahaDashaBean mahadashabean = null;\n\t\tPdfPTable mahadashaTable = null;\n\n\t\t//\tColumnText.showTextAligned(canvas, Element.ALIGN_CENTER,new Phrase(planetname,font3),tableX+10,tableY+15,0);\n\t\tmahadashaTable = new PdfPTable(3);\n\t\tmahadashaTable.setTotalWidth(140);\n\t\tString[] monthArr = new String[2];\n\t\tString month = null;\n\t\ttry {\n\t\t\tmahadashaTable.setWidths(new int[]{40, 50, 50});\n\t\t} catch (DocumentException ex) {\n\t\t\tex.printStackTrace();\n\t\t}\n\t\tmahadashaTable.getDefaultCell().setBorderWidth(0);\n\t\tmahadashaTable.addCell(new Phrase(new Chunk(\"Antar\", font3)));\n\t\tmahadashaTable.getDefaultCell().setBorderWidth(0);\n\t\tmahadashaTable.addCell(new Phrase(new Chunk(\"Beginning\", font3)));\n\t\tmahadashaTable.getDefaultCell().setBorderWidth(0);\n\t\tmahadashaTable.addCell(new Phrase(new Chunk(\"Ending\", font3)));\n\n\n\t\tif (!StringUtils.isBlank(dasha.get(0).getYear())) {\n\t\t\t// logger.info(\"**************||||||||||||||||||Antardashaaaaaaaaaaaaaaaaaaa||||||||||||||||||\" + dasha.get(0).getYear());\n\t\t\tmonthArr = dasha.get(0).getYear().split(\"_\");\n\n\t\t\tColumnText.showTextAligned(canvas, Element.ALIGN_CENTER, new Phrase(monthArr[0], font3), tableX + 20, tableY + 15, 0);\n\t\t\tColumnText.showTextAligned(canvas, Element.ALIGN_CENTER,\n\t\t\t\t\tnew Phrase(monthArr[1], font), tableX + 35, tableY + 4, 0);\n\n\t\t}\n\n\n\t\tfor (int loop = 0; loop < dasha.size(); loop++) {\n\t\t\t// rashiBean=(RashiHouseBean)dasha.get(loop);\n\t\t\tmahadashabean = (MahaDashaBean) dasha.get(loop);\n\t\t\tdrawLine1(canvas, tableX, tableY, tableX + 140, tableY);\n\t\t\tdrawLine1(canvas, tableX, (tableY - 15), tableX + 140, (tableY - 15));\n\t\t\tdrawLine1(canvas, tableX, (tableY - 125), tableX + 140, (tableY - 125));\n\n\t\t\tmahadashaTable.getDefaultCell().setBorderWidth(0);\n\t\t\tmahadashaTable.addCell(new Phrase(new Chunk(mahadashabean.getPlanetName(), font)));\n\t\t\tmahadashaTable.getDefaultCell().setBorderWidth(0);\n\t\t\tString tm=mahadashabean.getStartTime();\n\t\t\tif(tm!=null && tm!=\"\")\n\t\t\tmahadashaTable.addCell(new Phrase(new Chunk(tm.split(\" \")[0], font)));\n\t\t\telse\n\t\t\t\tmahadashaTable.addCell(new Phrase(new Chunk(\"\", font)));\n\t\t\t\n\t\t\tmahadashaTable.getDefaultCell().setBorderWidth(0);\n\t\t\ttm=mahadashabean.getEndTime();\n\t\t\t\tif(tm!=null && tm!=\"\")\n\t\t\t\tmahadashaTable.addCell(new Phrase(new Chunk(tm.split(\" \")[0], font)));\n\t\t\t\telse\n\t\t\t\tmahadashaTable.addCell(new Phrase(new Chunk(\"\", font)));\n\t\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\n\t\t}\n\t\tmahadashaTable.writeSelectedRows(0, -1, tableX, tableY, writer.getDirectContent());\n\n\n\n\t}","@Override\n\tpublic boolean testExitAtDay (StockData sd, int strategyId, int lookback) {\n\n\t\tboolean toReturn = false;\n\n\t\tMacD macdData = sd.getMacd494();\n\n\t\tdouble[] macd = macdData.getMacd();\n\t\tdouble[] signal = macdData.getSignal();\n\t\tdouble[] histogram = macdData.getHistogram();\n\n\t\t\t// If this is bullish strategy, in which case we are looking for the macd to cross up and over \n\t\t\t// center line or to cross back down the signal line (as a stop loss). We use the histogram to detect such\n\t\t\t// a signal line crossover.\n\t\tif (strategyId == 0) {\n\n\t\t\tif (((macd[lookback] > 0) && (macd[lookback + 1] < 0)) ||\n\t\t\t\t((histogram[lookback] < 0) && (histogram[lookback + 1] > 0)))\n\t\t\t\t\ttoReturn = true;\n\n\t\t}\n // This bullish strategy is just a slight modification -- it also exits if the MacD turns around at all.\n else if (strategyId == 1) {\n\n \t\tif (((macd[lookback] > 0) && (macd[lookback + 1] < 0)) ||\n\t\t\t\t((histogram[lookback] < 0) && (histogram[lookback + 1] > 0)) ||\n (macd[lookback] < macd[lookback + 1]))\n\t\t\t\t\ttoReturn = true;\n\n }\n\t\t\t// If this is bearish strategy, in which case we are looking for the macd to cross down and under the\n\t\t\t// center line or to cross back up the signal line (as a stop loss). We use the histogram to detect such\n\t\t\t// a signal line crossover.\n\t\telse if (strategyId == 2) {\n\n\t\t\tif (((macd[lookback] < 0) && (macd[lookback + 1] > 0)) ||\n\t\t\t\t((histogram[lookback] > 0) && (histogram[lookback + 1] < 0)))\n\t\t\t\t\ttoReturn = true;\n\n\t\t}\n // This bullish strategy is just a slight modification -- it also exits if the MacD turns around at all.\n else if (strategyId == 3) {\n\n \tif (((macd[lookback] < 0) && (macd[lookback + 1] > 0)) ||\n\t\t\t\t((histogram[lookback] > 0) && (histogram[lookback + 1] < 0)) ||\n (macd[lookback] > macd[lookback + 1]))\n\t\t\t\t\ttoReturn = true;\n\n }\n\n\t\treturn toReturn;\n\n\t}","@SuppressWarnings(\"unchecked\")\n\t@External(readonly = true)\n\tpublic Map<String, String> get_daily_payouts(BigInteger day) {\n\t\t/***\n Get daily payouts for a game in a particular day\n :param day: Index of the day for which payouts is to be returned\n :type day: int\n :return: Payouts of the game in that particular day\n :rtype: int\n ***/\n\t\tif (day.compareTo(BigInteger.ONE)== -1) {\n\t\t\tBigInteger now = BigInteger.valueOf(Context.getBlockTimestamp());\t\t\n\t\t\tday = day.add(now.divide(U_SECONDS_DAY));\n\t\t}\n\t\t\n\n\t\tMap.Entry<String, String>[] payouts = new Map.Entry[this.get_approved_games().size()]; \n\n\t\tfor (int i=0; i<this.get_approved_games().size(); i++) {\n\t\t\tAddress game = this.get_approved_games().get(i);\n\t\t\tpayouts[i] = Map.entry(game.toString(), String.valueOf(this.payouts.at(day).get(game)));\n\t\t}\n\t\treturn Map.ofEntries(payouts);\n\t}","public static void printDay(Day d) {\n\t\t\n\t\tUtility.printString(\"-----------------\\n\");\n\t\tUtility.printString(d.getDay() + \".\" + Utility.weekDayToString(d.getDay()) + \" (\" + d.getKcals() + \" Kcal)\" + \" \\n\");\n\t\t\n\t\t\n\t\tfor(MealTime mt : d.getMealTimes()) {\n\t\t\tprintMealtime(mt);\n\t\t}\n\t\t\n\t\t\n\t}","public Double getDailySaleWithoutVat(int month, int day, int year, int storeCode) {\n\t\tDouble amount = getRawGross(month, day, year, storeCode)/getVatRate();\r\n\t\tlogger.debug(\"Raw Gross: \"+amount);\r\n\t\treturn amount;\r\n//\t\treturn dailySale+totDisc+vat;\r\n\t}","public abstract double getCarbon();","private Day getDay(int day, int month) {\n return mainForm.getDay(day, month);\n }","public static String getMacAddress() {\n try {\n List<NetworkInterface> all = Collections.list(NetworkInterface.getNetworkInterfaces());\n for (NetworkInterface nif : all) {\n if (!nif.getName().equalsIgnoreCase(\"wlan0\")) continue;\n\n byte[] macBytes = nif.getHardwareAddress();\n if (macBytes == null) {\n return \"\";\n }\n\n StringBuilder res1 = new StringBuilder();\n for (byte b : macBytes) {\n res1.append(String.format(\"%02X:\",b));\n }\n\n if (res1.length() > 0) {\n res1.deleteCharAt(res1.length() - 1);\n }\n return res1.toString();\n }\n } catch (Exception ex) {\n }\n return \"02:00:00:00:00:00\";\n }","public double averageDayDriveDistance(String day)\n\t{\n\t\tint dayCount = 0; //total days run through\n\t\tString currentDate = \"\";\n\t\tdouble totalDistance = 0;\n\t\tfor(int i = 0; i < saveData.size(); i++)\n\t\t{\n\t\t\t//figures out the number of days, then averages the total by that number\n\t\t\tif(day.equals(saveData.get(i).get(\"day\")))\n\t\t\t{\n\t\t\t\tif(currentDate.equals(\"\"))\n\t\t\t\t{\n\t\t\t\t\t//if there is no current date, we must have just started; set the variable\n\t\t\t\t\tcurrentDate = saveData.get(i).get(\"date\"); //.get(\"date\") to be replaced\n\t\t\t\t\ttotalDistance += saveData.get(i).get(\"distance\");\n\t\t\t\t}\n\t\t\t\telse if(currentDate.equals(saveData.get(i).get(\"date\")))\n\t\t\t\t{\n\t\t\t\t\t//it's the same date, so add this distance to the total distance\n\t\t\t\t\ttotalDistance += saveData.get(i).get(\"distance\");\n\t\t\t\t}\n\t\t\t\telse\n\t\t\t\t{\n\t\t\t\t\t//it's a different date, so set the currentDate to this one,\n\t\t\t\t\t//increment the days counter;\n\t\t\t\t\tcurrentDate = saveData.get(i).get(\"date\");\n\t\t\t\t\tdayCount++;\n\t\t\t\t\t//add this drive to the total distance\n\t\t\t\t\ttotalDistance += saveData.get(i).get(\"distance\");\n\t\t\t\t}\n\t\t\t}\n\n\t\t}\n\t\t//after all the indexes of saveData have been run through\n\t\t//clean up by increment the days counter\n\t\tdayCount++;\n\t\t//get the average by dividing the total distance by the days\n\t\tdouble averageDistancePerDay = this.totalDriveDistance()/dayCount;\n\t}","public byte[] macAlgorithm(SecretKey encryptionkey, byte[] message) throws Exception\n {\n Mac mac = Mac.getInstance(\"HmacMD5\");\t\t// MAC mode\n mac.init(encryptionkey);\t\t// Initialize mac\n\n byte[] digest = mac.doFinal(message);\t\t// Finish the MAC Operation\n return digest;\n }","public Double getNetSalesWithoutVat(int month, int day, int year, int storeCode, int... hour) {\r\n\t\tDouble amt = getNetSales(month, day, year, storeCode, hour);\r\n\t\tDouble dlysale = (amt)/getVatRate();\r\n\t\t\r\n\t\treturn dlysale;\r\n\t}","public void setDay(Date day) {\r\n this.day = day;\r\n }","public void setDay(Date day) {\r\n this.day = day;\r\n }","public void setDay(Date day) {\r\n this.day = day;\r\n }","public void setDay(Date day) {\r\n this.day = day;\r\n }","public void setDay(Date day) {\r\n this.day = day;\r\n }","public static double[] berekenDagOmzet(double[] omzet) {\n double[] temp = new double[DAYS_IN_WEEK];\n \n for(int i = 0; i < DAYS_IN_WEEK; i++) {\n\n int j = 0;\n int counter = 0;\n while( omzet.length > (i + DAYS_IN_WEEK * j) ) {\n temp[i] += omzet[i + DAYS_IN_WEEK * j];\n \n j++;\n counter++;\n }\n temp[i] = temp[i] / counter;\n }\n return temp;\n }","public void setDay(Date day) {\n this.day = day;\n }","public void setMday(int value) {\n this.mday = value;\n }","@Array({9}) \n\t@Field(16) \n\tpublic Pointer<Byte > TradingDay() {\n\t\treturn this.io.getPointerField(this, 16);\n\t}","public void setDay(byte value) {\n this.day = value;\n }","public void setDay(byte value) {\n this.day = value;\n }","public void setDay(byte value) {\n this.day = value;\n }","public void setDay(byte value) {\n this.day = value;\n }","@BeforeClass\n\tpublic static void setUp() {\n\t\t\n\t\tdata = new ArrayList<>();\n\t\tdata.add(new StockTimeFrameData(\"1\", 0, 0, 0, 0, 0, 22.27, false)); \n\t\tdata.add(new StockTimeFrameData(\"2\", 0, 0, 0, 0, 0, 22.19, false)); \n\t\tdata.add(new StockTimeFrameData(\"3\", 0, 0, 0, 0, 0, 22.08, false)); \n\t\tdata.add(new StockTimeFrameData(\"4\", 0, 0, 0, 0, 0, 22.17, false));\t\n\t\tdata.add(new StockTimeFrameData(\"5\", 0, 0, 0, 0, 0, 22.18, false)); \n\t\tdata.add(new StockTimeFrameData(\"6\", 0, 0, 0, 0, 0, 22.13, false)); \n\t\tdata.add(new StockTimeFrameData(\"7\", 0, 0, 0, 0, 0, 22.23, false)); \t\n\t\tdata.add(new StockTimeFrameData(\"8\", 0, 0, 0, 0, 0, 22.43, false)); \n\t\tdata.add(new StockTimeFrameData(\"9\", 0, 0, 0, 0, 0, 22.24, false)); \n\t\tdata.add(new StockTimeFrameData(\"10\", 0, 0, 0, 0, 0, 22.29, false)); \n\t\tdata.add(new StockTimeFrameData(\"11\", 0, 0, 0, 0, 0, 22.15, false)); \n\t\tdata.add(new StockTimeFrameData(\"12\", 0, 0, 0, 0, 0, 22.39, false)); \n\t\tdata.add(new StockTimeFrameData(\"13\", 0, 0, 0, 0, 0, 22.38, false)); \n\t\tdata.add(new StockTimeFrameData(\"14\", 0, 0, 0, 0, 0, 22.61, false)); \n\t\t//data.add(new StockTimeFrameData(\"15\", 0, 0, 0, 0, 0, 23.36, false)); \n\n\t\tmacd = new MACD(data, 10, 4, 6);\n\t}","public String getFormattedMACAddress() {\n String defaultReturn = \"00:00:00:00:00:00\";\n\n // Validate the data\n if (macAddress == null) {\n return defaultReturn;\n }\n String mac = macAddress.replace(\"-\", \"\");\n if (mac.length() != 12) {\n return defaultReturn;\n }\n\n List<String> parts = new ArrayList<>();\n for (int i = 0; i < 6; i++) {\n int offset = 2 * i;\n parts.add(mac.substring(offset, offset + 2));\n }\n\n return String.join(\":\", parts);\n }","public void setDay(final short day) {\r\n\t\tthis.day = day;\r\n\t}","@Override\n\tpublic double getCarbon() {\n\t\treturn 0;\n\t}","private double calculateFeesEarnedEachDayOfWeek(ArrayList<Pair<Fees, Time>> timeslots, DayOfWeek day) {\n return daysOfWeek[day.ordinal()] * timeslots.stream()\n .filter(p -> convertDayOfWeek(p.getValue().getDay()).equals(day))\n .mapToDouble(p -> p.getValue().getTuitionHours() * p.getKey().getFeesValue())\n .sum();\n }","public void setDay(byte value) {\n this.day = value;\n }","public void setDay(byte value) {\r\n this.day = value;\r\n }","public String getSomeDayInfo(int day){\n\t\tHashMap<String,String> hashMap = getSomeDaydata(day);\n\t\tStringBuilder sb = new StringBuilder();\n\t\tsb.append(hashMap.get(\"日期\")+\" \"+hashMap.get(\"天气\")+\"\\n\");\n\t\tsb.append(\"最\"+hashMap.get(\"最高温\")+\"\\n\"+\"最\"+hashMap.get(\"最低温\"));\n\t\tsb.append(\"\\n风力:\"+hashMap.get(\"风力\"));\n\n\t\treturn sb.toString();\n\t}","public final native double setDate(int dayOfMonth) /*-{\n this.setDate(dayOfMonth);\n return this.getTime();\n }-*/;","public static String emptyDefaultDay(String day) {\n if (StringUtils.isEmpty(day)) {\n return new SimpleDateFormat(\"yyyy-MM-dd\").format(new Date());\n } else {\n return day;\n }\n }","public void dayIsLike() \r\n\t{ \r\n\t\tswitch (day) \r\n\t\t{ \r\n\t\tcase MONDAY: \r\n\t\t\tSystem.out.println(\"Mondays are bad.\"); \r\n\t\t\tbreak; \r\n\t\tcase FRIDAY: \r\n\t\t\tSystem.out.println(\"Fridays are better.\"); \r\n\t\t\tbreak; \r\n\t\tcase SATURDAY: \r\n\t\t\tSystem.out.println(\"Saturdays are better.\"); \r\n\t\t\tbreak;\r\n\t\tcase SUNDAY: \r\n\t\t\tSystem.out.println(\"Weekends are best.\"); \r\n\t\t\tbreak; \r\n\t\tdefault: \r\n\t\t\tSystem.out.println(\"Midweek days are so-so.\"); \r\n\t\t\tbreak; \r\n\t\t} \r\n\t}","public void setDay(String day) {\n\n\t\tthis.day = day;\n\t}","public void dayNightCycle(boolean debug) {\r\n float distance;\r\n int timeUnit;\r\n float max;\r\n if (debug) {\r\n timeUnit = seconds - 5;\r\n max = 60 / 2f;\r\n } else {\r\n timeUnit = hours - 2;\r\n max = 24 / 2f;\r\n }\r\n\r\n if (timeUnit <= max) {\r\n distance = timeUnit;\r\n } else {\r\n distance = max - (timeUnit - max);\r\n }\r\n\r\n dayOpacity = distance / max;\r\n }","public final double calculateCarbon() {\n\n if (calories > 2000) {\n allowedCarbonPerYear = 2200 * quantity;\n\n } else {\n allowedCarbonPerYear = 2000 * quantity;\n }\n allowedCarbonPerDay = (double) allowedCarbonPerYear / (double) 365;\n // String strDouble = String.format(\"%.2f\", allowedCarbonPerDay);\n // System.out.println(strDouble);\n return allowedCarbonPerDay;\n\n }","public ArrayList<Forecast> getForecastsForDay( int day ) {\n if (forecasts.size() == 0) {\n return null;\n }\n\n int startIndex = 0;\n int endIndex = 0;\n\n if (day < 8) {\n startIndex = dayIndices[day];\n }\n\n if (startIndex == -1) {\n return null;\n }\n\n if (day < 7) {\n endIndex = dayIndices[day+1];\n if (endIndex < 0) {\n endIndex = forecasts.size();\n }\n } else {\n endIndex = forecasts.size();\n }\n\n return new ArrayList<>(forecasts.subList(startIndex, endIndex));\n }","@Override\n public void cycleSlipDataSet(String nameSat, AbsoluteDate date, double value, Frequency freq) {\n super.cycleSlipDataSet(nameSat, date, value, freq);\n }","public static DefaultTableModel getSensorDataTime(String day, int id, Date date) {\n ResultSet rs = null;\n DefaultTableModel DTm = null;\n try (\n PreparedStatement stmt = conn.prepareStatement(SENSOR_DATA_TIME, ResultSet.TYPE_SCROLL_INSENSITIVE, ResultSet.CONCUR_READ_ONLY);) {\n stmt.setString(1, day);\n stmt.setInt(2, id);\n stmt.setDate(3, date);\n stmt.setDate(4, date);\n\n rs = stmt.executeQuery();\n System.out.println(stmt.toString());\n DTm = buildTableModel(rs);\n\n } catch (SQLException e) {\n System.err.println(e);\n }\n return DTm;\n }","public byte getDay() {\n return day;\n }","public byte getDay() {\n return day;\n }","public byte getDay() {\n return day;\n }","public byte getDay() {\n return day;\n }","public java.util.Calendar getBFSDAT() {\n return BFSDAT;\n }","@Override\n public int[][] getStreakForMonth(CalendarDayModel day) {\n if (day.getMonth() == 7) {\n return streaks;\n }\n return new int[0][];\n }","public MACAddress getMacAddress() \n\t{\n\t\treturn this.hwAddress;\n\t}","public void setDay(int day) {\r\n this.day = day;\r\n }","public void setDay(int day)\n {\n this.day = day;\n }","public byte getDay() {\r\n return day;\r\n }","public void setDay(int day) {\n\t\tthis.day = day;\n\t}","public void setDay(int day) {\n\t\tthis.day = day;\n\t}","public static void m10220a() {\n zzawb.m10214a(\"TinkMac\", new ii());\n zzavo.m10184a(f9059b);\n }","@Override\n\tpublic boolean testStrategyAtDay(StockData sd, int strategyId, int lookBack) {\n\n\t\tboolean toReturn = false;\n\n\t\tMacD macdData = sd.getMacd494();\n\n\t\tdouble[] macd = macdData.getMacd();\n\t\tdouble[] histogram = macdData.getHistogram();\n\n\t\tif (strategyId <= 1) {\n\n\t\t\tif ((histogram[lookback] > 0) && (histogram[lookback + 1] < 0) && (macd[lookback] < 0))\n\t\t\t\ttoReturn = true;\n\n\t\t}\n\t\telse if (strategyId >= 2) {\n\n\t\t\tif ((histogram[lookback] < 0) && (histogram[lookback + 1] > 0) && (macd[lookback] > 0))\n\t\t\t\ttoReturn = true;\n\n\t\t}\n\n\n\t\treturn toReturn;\n\t}","public io.dstore.values.TimestampValueOrBuilder getDayOrBuilder() {\n if (dayBuilder_ != null) {\n return dayBuilder_.getMessageOrBuilder();\n } else {\n return day_ == null ?\n io.dstore.values.TimestampValue.getDefaultInstance() : day_;\n }\n }","DailyFlash getDailyFlashByDate(Store store, Date date);","@GetMapping(\"/{symbol}/{date}\")\n public ModelAndView daily(@PathVariable(\"symbol\") String symbol, @PathVariable(\"date\") String date) throws ParseException {\n\n Date sdf = new SimpleDateFormat(\"yyyy-MM-dd\").parse(date);\n\n String beginOfTheMonth = date.substring(0, 7) + \"-00\";\n String endOfTheMonth = date.substring(0,7) + \"-31\";\n Map<String, Object> model = new HashMap<>();\n\n try{\n String[] resp = quoteRepository.daily(symbol, sdf).split(\",\");\n Double closingResp = quoteRepository.closingDay(symbol, sdf);\n String[] monthResp = quoteRepository.monthly(symbol, beginOfTheMonth, endOfTheMonth).split(\",\");\n Double closingMonth = quoteRepository.closingMonth(symbol, beginOfTheMonth, endOfTheMonth);\n\n DayRecord dr = new DayRecord(Double.parseDouble(resp[0]), Double.parseDouble(resp[1]), Integer.parseInt(resp[2]), date, symbol);\n DayRecord mr = new DayRecord(Double.parseDouble(monthResp[0]), Double.parseDouble(monthResp[1]), Integer.parseInt(monthResp[2]), beginOfTheMonth, symbol);\n\n model.put(\"daily\", dr);\n model.put(\"closing\", closingResp);\n model.put(\"monthly\", mr);\n model.put(\"closingMonthly\", closingMonth);\n\n\n return new ModelAndView(\"main\", model);\n\n } catch (Exception e) {\n return new ModelAndView(\"error\", model);\n }\n }","public static void main(String[] args) {\n\t\tint d = Integer.parseInt(args[0]);\n\t\tint m = Integer.parseInt(args[1]);\n\t\tint y = Integer.parseInt(args[2]);\n\t\tint y1 = y - (14 - m) / 12;\n\t\tint x = y1 + y1 / 4 - y1 / 100 + y1 / 400;\n\t\tint m1 = m + 12 * ((14 - m) / 12) - 2;\n\t\tint d1 = (d + x + 31 * m1 / 12) % 7;\n\t\tSystem.out.println(\"day :\" + d1);\n\n\t\tswitch (d1) {\n\t\tcase 0:\n\t\t\tSystem.out.println(\"sunday\");\n\t\t\tbreak;\n\t\tcase 1:\n\t\t\tSystem.out.println(\"monday\");\n\t\t\tbreak;\n\t\tcase 2:\n\t\t\tSystem.out.println(\"tuesday\");\n\t\t\tbreak;\n\t\tcase 3:\n\t\t\tSystem.out.println(\"wednsday\");\n\t\t\tbreak;\n\t\tcase 4:\n\t\t\tSystem.out.println(\"thursday\");\n\t\t\tbreak;\n\t\tcase 5:\n\t\t\tSystem.out.println(\"friday\");\n\t\t\tbreak;\n\t\tcase 6:\n\t\t\tSystem.out.println(\"saturday\");\n\t\t\tbreak;\n\n\t\tdefault:\n\t\t\tSystem.out.println(\"invalid output\");\n\t\t\tbreak;\n\t\t}\n\t}","public void setCalDay() {\n\t\tfloat goal_bmr;\n\t\tif(gender==\"male\") {\n\t\t\tgoal_bmr= (float) (10 * (weight+loseGainPerWeek) + 6.25 * height - 5 * age + 5);\n\t\t}\n\t\telse {\n\t\t\tgoal_bmr=(float) (10 * (weight+loseGainPerWeek) + 6.25 * height - 5 * age - 161);\n\t\t}\n\t\tswitch (gymFrequency) {\n\t\tcase 0:calDay = goal_bmr*1.2;\n\t\t\t\tbreak;\n\t\tcase 1:\n\t\tcase 2:\n\t\tcase 3:calDay = goal_bmr*1.375;\n\t\t\t\tbreak;\n\t\tcase 4:\n\t\tcase 5:calDay = goal_bmr*1.55;\n\t\t\n\t\t\t\tbreak;\n\t\tcase 6:\n\t\tcase 7:calDay = goal_bmr*1.725;\n\t\t\t\tbreak;\n\t\t}\n\t}","public Series removeDelayedTrend(int depth)\n {\n if(depth<1 || depth>=size)\n throw new IndexOutOfBoundsException();\n Series oscillator = new Series();\n oscillator.x = new double[oscillator.size = size - depth];\n if(oscillator.size>1)\n oscillator.r = new double[oscillator.size - 1];\n for(int t = 0; t<oscillator.size; t++)\n {\n oscillator.x[t] = x[t + depth] - movingAverage(depth, t + depth);\n if(t>0)\n oscillator.r[t - 1] = Math.log(oscillator.x[t]/oscillator.x[t - 1]);\n }\n return oscillator;\n }","public String getDeviceSeriesName() {\r\n if(isMips32()) {\r\n String devname = getDeviceName();\r\n\r\n if(devname.startsWith(\"M\")) {\r\n return devname.substring(0, 3);\r\n } else if(devname.startsWith(\"USB\")) {\r\n return devname.substring(0, 5);\r\n } else {\r\n return devname.substring(0, 7);\r\n }\r\n } else {\r\n return getAtdfFamily();\r\n }\r\n }","public double averageSteps() {\n if (day==0) return 0;\n return (double) totalSteps / day;}","public byte getDay() {\n return day;\n }","private void printDays() {\n for (int dayOfMonth = 1; dayOfMonth <= daysInMonth; ) {\n for (int j = ((dayOfMonth == 1) ? dayOfWeek - 1 : 0); j < 7 && (dayOfMonth <= daysInMonth); j++) {\n if (this.isDateChosen == true && date.getDate() == dayOfMonth) {\n String space = date.getDate() >= 10 ? \" \" : \" \";\n System.out.print(space + ANSI_GREEN + dayOfMonth + ANSI_RESET + \" \");\n } else {\n System.out.printf(\"%4d \", dayOfMonth);\n }\n dayOfMonth++;\n }\n System.out.println();\n }\n }","private void calcDataInTable() {\n Calendar tempCal = (Calendar) cal.clone();\n\n tempCal.set(Calendar.DAY_OF_MONTH, 1);\n int dayOfWeek;\n\n if (tempCal.get(Calendar.DAY_OF_WEEK) == Calendar.SUNDAY) {\n dayOfWeek = 7;\n } else {\n dayOfWeek = tempCal.get(Calendar.DAY_OF_WEEK) - 1;\n }\n\n int dayOfMonth = tempCal.get(Calendar.DAY_OF_MONTH);\n\n for (int j = 0; j < 6; j++) {\n\n for (int i = 0; i < 7; i++) {\n\n if (j != 0) {\n if (dayOfMonth < 32) {\n parsedData[j][i] = Integer.toString(dayOfMonth);\n }\n\n if (dayOfMonth > cal.getActualMaximum(Calendar.DAY_OF_MONTH)) {\n parsedData[j][i] = \"\";\n }\n\n dayOfMonth++;\n\n } else {\n\n if ((j == 0) && (i >= dayOfWeek - 1)) {\n parsedData[j][i] = Integer.toString(dayOfMonth);\n dayOfMonth++;\n } else {\n parsedData[j][i] = \"\";\n }\n\n\n }\n\n }\n\n }\n}","public void doMacrons(){\r\n\t\tDSElement<Verbum> w = words.first;\r\n\t\tint count = words.size(); // failsafe counter\r\n\t\twhile(count > 0){\r\n\t\t\t//Make sure word hasn't been macroned before\r\n\t\t\tif(w.getItem().macForm.isEmpty()){\r\n\t\t\t\t//delete nom endings\r\n\t\t\t\tdelNomFromMac(w.getItem());\r\n\t\t\t\t//insert macrons into forms\r\n\t\t\t\tmacsToForms(w.getItem());\r\n\t\t\t\t//System.out.println(w.getItem().macForm);\r\n\t\t\t\t//Insert special macrons \r\n\t\t\t\tspecialMacs(w.getItem());\r\n\t\t\t}\r\n\t\t\tw = w.getNext();\r\n\t\t\tif(w == null)\r\n\t\t\t\tw = words.first;\r\n\t\t\tcount--;\r\n\t\t}\r\n\t}","private void adjustSunAndMoonData()\n\t{\n\t\tdouble toRad = Math.PI / 180.0;\n\t\t\n\t\t//find the number of days since the epoch 2000\n\t\tdouble D = ((userYear - 1990)* 365.3) + userDecimalDay + ((userMonth - 1) * 30);\n\t\tdouble sunEg = 279.403303; //at epoch\n\t\tdouble sunE = 0.016713;\n\t\tdouble sunW = 282.768422;\n\t\t//find mean anomaly of the sun (in degrees)\t\t\n\t\tdouble sunMeanAnomaly = ((360 / 365.242191) * D) + sunEg - sunW;\n\t\tsunMeanAnomaly = AdjustDegree(sunMeanAnomaly);\n\t\t//find true anomaly of the sun\n\t\tdouble temp = sunMeanAnomaly * toRad;\n\t\ttemp = Math.sin(temp);\n\t\tdouble sunEc = (360 / Math.PI) * sunE * temp;\n\t\tdouble sunTrueAnomaly = sunMeanAnomaly + sunEc;\n\t\tsunTrueAnomaly = AdjustDegree(sunTrueAnomaly);\n\t\t//find ecliptic longitude of the sun (in degrees)\n\t\tdouble sunEcLong = sunTrueAnomaly + sunW;\n\t\tsunEcLong = AdjustDegree(sunEcLong);\n\t\t//find sun declination and right ascension\n\t\ttemp = theCalculator.findPlanetDeclination(sunEg, 0.0, sunEcLong);\n\t\tsun.setDeclination(temp);\n\t\tdouble rightAsc = theCalculator.findPlanetRightAscension(sunEg, 0.0, sunEcLong);\n\t\tsun.setRightAscension(rightAsc);\n\t\ttemp = theCalculator.findHourAngle(rightAsc, userLocalTime);\n\t\tsun.setHourAngle(temp);\n\t\tsun.setMagnitude(-26.0);\n\t\t\n\t\t//find moon mean longitude (in degrees)\n\t\ttemp = 13.1763966 * D + 318.351648;\n\t\ttemp = AdjustDegree(temp);\n\t\tmoon.setMeanLongitude(temp);\n\t\t\n\t\t//find moon mean anomaly (in degrees)\n\t\ttemp = moon.getMeanLongitude() - (0.1114041 * D) - 36.340410;\n\t\ttemp = AdjustDegree(temp);\n\t\tdouble moonMeanAnomaly = temp;\n\t\t\n\t\t//find moon longitude of the node (in degrees)\n\t\ttemp = 318.510105 - 0.0529539 * D;\n\t\ttemp = AdjustDegree(temp);\n\t\tmoon.setLongitudeOfAscendingNode(temp);\n\t\t\n\t\t//calculate moons correction for evection (in degrees)\n\t\tdouble evectionCorrection = theCalculator.correctMoonEvection(sunEcLong, moon.getMeanLongitude(), moonMeanAnomaly);\n\t\t\n\t\t//calculate moons correction for the annual equation\n\t\ttemp = sunMeanAnomaly * toRad;\n\t\tdouble annualEquation = 0.1858 * Math.sin(temp);\n\t\t\n\t\t//find moon's third correction (in degrees)\n\t\tdouble A3 = 0.37 * Math.sin(temp);\n\t\t\n\t\t//find moon corrected anomaly (in degrees)\n\t\tdouble correctedAnomaly = moonMeanAnomaly + evectionCorrection - annualEquation - A3;\n\t\t\n\t\t//find moon's correction for the equation of the centre (in degrees)\n\t\ttemp = correctedAnomaly * toRad;\n\t\tdouble equationCentre = 6.2886 * Math.sin(temp);\n\t\t\n\t\t//find moon's 4th correction (in degrees)\n\t\tdouble A4 = 0.214 * Math.sin(2.0*temp);\n\t\t\n\t\t//find moon's corrected longitude (in degrees)\n\t\tdouble correctedLong = moon.getMeanLongitude() + evectionCorrection + equationCentre - annualEquation + A4;\n\t\t\n\t\t//correct moon's longitude for variation (in degrees)\n\t\ttemp = (2 * (correctedLong - sunEcLong)) * toRad;\n\t\tdouble variation = 0.6583 * Math.sin(temp);\n\t\t\n\t\t//find moon's true longitude (in degrees)\n\t\tdouble trueLong = correctedLong + variation;\n\t\t\n\t\t//calculate moon's corrected longitude of the node (in degrees)\n\t\ttemp = 0.16 * Math.sin(sunMeanAnomaly * toRad);\n\t\tdouble correctedLongNode = moon.getLongitudeOfAscendingNode() - temp;\n\t\t\n\t\t//find ecliptic longitude of moon (in degrees)\n\t\t//find y (in radians)\n\t\tdouble i = 5.145396 * toRad;\n\t\ttemp = (trueLong - correctedLongNode) * toRad;\n\t\tdouble y = Math.sin(temp) * Math.cos(i);\n\t\t//find x (in radians)\n\t\tdouble x = Math.cos(temp);\n\t\tdouble tan = Math.atan2(y, x);\n\t\tdouble eclipticLong = tan + correctedLongNode;\n\t\t\n\t\t//find ecliptic latitude of moon (in degrees)\n\t\tdouble eclipticLat = Math.asin(Math.sin(temp * Math.sin(i)));\n\t\t\n\t\t//find moon mean obliquity (in degrees)\n\t\tdouble T = (userJulianDate - epoch2000JD) / 36525.0;\n\t\tdouble obliquity = 23.439292 - (((46.815 * T) + (T * T * 0.0006) - (T * T * T * 0.00181))/3600.0);\n\t\t\n\t\t//find moon declination\n\t\tdouble declination = theCalculator.findPlanetDeclination(obliquity, eclipticLat, eclipticLong);\n\t\tmoon.setDeclination(declination);\n\t\t\n\t\t//find moon right ascension\n\t\trightAsc = theCalculator.findPlanetRightAscension(obliquity, eclipticLat, eclipticLong);\n\t\tmoon.setRightAscension(rightAsc);\n\t\t\n\t\t//find moon hour angle\n\t\tdouble hourAngle = theCalculator.findHourAngle(rightAsc, userLocalTime);\n\t\tmoon.setHourAngle(hourAngle);\n\t\t\n\t\t//find moon phase - book's method\n\t\tdouble phase = Math.abs((trueLong - sunEcLong) * toRad);\n\t\t\t\t\n\t\t//find moon phase\t\t \n\t\tif ( phase > 2.2 ) //full moon to third quarter\n\t\t{\t\t\t\n\t\t\tif (phase >= 2.7) //full\n\t\t\t\tmoon.setUnicodeIcon(\"m10.png\");\n\t\t\tif (phase >= 2.6) \n\t\t\t\tmoon.setUnicodeIcon(\"m11.png\");\n\t\t\tif (phase >= 2.5) \n\t\t\t\tmoon.setUnicodeIcon(\"m12.png\");\n\t\t\tif (phase >= 2.4) \n\t\t\t\tmoon.setUnicodeIcon(\"m13.png\");\n\t\t\tif (phase >= 2.3) \n\t\t\t\tmoon.setUnicodeIcon(\"m14.png\");\n\t\t\tif (phase >= 2.2) \n\t\t\t\tmoon.setUnicodeIcon(\"m15.png\");\n\t\t\telse\n\t\t\t\tmoon.setUnicodeIcon(\"m16.png\"); //third quarter\n\t\t} \n\t\telse if ( phase > 1.55 ) //third quarter to first quarter\n\t\t{\t\t\t \n\t\t\tif (phase >= 2.2) //third quarter\n\t\t\t\tmoon.setUnicodeIcon(\"m16.png\");\n\t\t\tif (phase >= 2.1) \n\t\t\t\tmoon.setUnicodeIcon(\"m17.png\");\n\t\t\tif (phase >= 2.0) \n\t\t\t\tmoon.setUnicodeIcon(\"m18.png\");\n\t\t\tif (phase >= 1.8) \n\t\t\t\tmoon.setUnicodeIcon(\"m08.png\");\n\t\t\tif (phase >= 1.7) \n\t\t\t\tmoon.setUnicodeIcon(\"m07.png\");\n\t\t\tif (phase >= 1.6) \n\t\t\t\tmoon.setUnicodeIcon(\"m06.png\");\n\t\t\telse\n\t\t\t\tmoon.setUnicodeIcon(\"m05.png\"); //first quarter\n\t\t} \n\t\telse if ( phase > 1.0 ) //first quarter\n\t\t{\t\t\t\n\t\t\tif (phase >= 1.5) //first quarter\n\t\t\t\tmoon.setUnicodeIcon(\"m07.png\");\n\t\t\tif (phase >= 1.4) \n\t\t\t\tmoon.setUnicodeIcon(\"m07.png\");\n\t\t\tif (phase >= 1.3) \n\t\t\t\tmoon.setUnicodeIcon(\"m06.png\");\n\t\t\tif (phase >= 1.2) \n\t\t\t\tmoon.setUnicodeIcon(\"m06.png\");\n\t\t\tif (phase >= 1.1) \n\t\t\t\tmoon.setUnicodeIcon(\"m05.png\");\n\t\t\telse\n\t\t\t\tmoon.setUnicodeIcon(\"m05.png\"); //first quarter\n\t\t} \n\t\telse \t //new moon to first quarter\n\t\t{\t\t\t\n\t\t\tif (phase >= 1.0) //first quarter\n\t\t\t\tmoon.setUnicodeIcon(\"m05.png\");\n\t\t\tif (phase >= 0.9) \n\t\t\t\tmoon.setUnicodeIcon(\"m04.png\");\n\t\t\tif (phase >= 0.8) \n\t\t\t\tmoon.setUnicodeIcon(\"m03.png\");\n\t\t\tif (phase >= 0.7) \n\t\t\t\tmoon.setUnicodeIcon(\"m02.png\");\n\t\t\tif (phase >= 0.6) \n\t\t\t\tmoon.setUnicodeIcon(\"m01.png\");\n\t\t\telse\n\t\t\t\tmoon.setUnicodeIcon(\"m00.png\"); //new moon\n\t\t} \n \t}","public String calculateDay(String day) throws ParseException {\n\t\tSimpleDateFormat simpleDateformat = new SimpleDateFormat(\"EEEE\");\r\n\t\tint iYear = Calendar.getInstance().get(Calendar.YEAR);\r\n\t\tint iMonth = Calendar.getInstance().get(Calendar.MONTH) + 1;\r\n\t\tString yourDate = 15 + \"/\" + iMonth + \"/\" + iYear;\r\n\t\t// String string = yourDate;\r\n\t\tDateFormat format = new SimpleDateFormat(\"dd/MM/yyyy\", Locale.ENGLISH);\r\n\t\tDate date = format.parse(yourDate);\r\n\t\tthis.calculatedDay = simpleDateformat.format(date);\r\n\t\t//System.out.println(\"Calculated Day :: \" + this.calculatedDay);\r\n\t\treturn calculatedDay;\r\n\t}","double getTickBorderDashOffset();","public void removeDay(int day){ // verilen gundeki tum experimentlar silinir.\r\n Node last = head;\r\n if( last.data.day == day ){ // ilk gun serisinden istenirse direk next day e atla.\r\n head = last.nextDay;\r\n }\r\n else{\r\n while( last.next != null ){ // gunun basini bul\r\n if( last.next.data.day == day ){ // removeExp ile sil.\r\n removeExp(day, 0);\r\n }\r\n else\r\n last = last.next; // ilerle.\r\n }\r\n }\r\n }","@java.lang.Override public app.onepass.apis.DayOfWeek getDay() {\n @SuppressWarnings(\"deprecation\")\n app.onepass.apis.DayOfWeek result = app.onepass.apis.DayOfWeek.valueOf(day_);\n return result == null ? app.onepass.apis.DayOfWeek.UNRECOGNIZED : result;\n }","public int determineDayRandomly() {\n\t\treturn 0;\r\n\t}","static double userOnDay(final float rate, final int day) {\n return Math.pow(rate, day);\n }","public io.dstore.values.StringValueOrBuilder getDayOrBuilder() {\n if (dayBuilder_ != null) {\n return dayBuilder_.getMessageOrBuilder();\n } else {\n return day_ == null ?\n io.dstore.values.StringValue.getDefaultInstance() : day_;\n }\n }","public static void season(int month, int day) {\r\n if (month >= 12 && month <= 3 && day <= 16 && day <= 15) {\r\n System.out.println(\"Winter\");\r\n }\r\n if (month >= 3 && month <= 6 && day <= 16 && day <= 15) {\r\n System.out.println(\"Spring\");\r\n }\r\n if (month >= 6 && month <= 9 && day <= 16 && day <= 15) {\r\n System.out.println(\"Summer\");\r\n }\r\n if (month >= 9 && month <= 12 && day <= 16 && day <= 15) {\r\n System.out.println(\"Fall\");\r\n }\r\n }","public void setDay(final int day) {\n\t\tthis.day = day;\n\t}","@Override\r\n\tpublic void physics() {\n\t\tSystem.out.println(\"Every Thursday evening\");\r\n\t\t\r\n\t}","public Double getCarbon() {\n return product.getCarbon() * weight / 100;\n }","public double getDPad() {\n\t\treturn this.getRawAxis(6);\n\t}","@java.lang.Override\n public app.onepass.apis.DayOfWeek getDay() {\n @SuppressWarnings(\"deprecation\")\n app.onepass.apis.DayOfWeek result = app.onepass.apis.DayOfWeek.valueOf(day_);\n return result == null ? app.onepass.apis.DayOfWeek.UNRECOGNIZED : result;\n }","public void setMac(java.lang.String mac) {\n this.mac = mac;\n }","public void unsetDay()\n {\n synchronized (monitor())\n {\n check_orphaned();\n get_store().remove_element(DAY$0, 0);\n }\n }","public String readEthMAC() {\r\n\t\treturn mFactoryBurnUtil.readEthMAC();\r\n\t}","public String format(MacAddress mac) {\n byte[] b = mac.getInternalBytes();\n Oui oui = _byHashCode.get(Oui.hashCode(mac.getInternalBytes()));\n StringBuilder buf = new StringBuilder();\n\n if (oui == null) {\n buf.append(String.format(\"Unknown-%02x-%02x-%02x\", b[0], b[1], b[2]));\n } else {\n buf.append(oui.getShortName());\n }\n buf.append('-');\n\n for (int i = 3; i < MacAddress.ETH_ALEN; ++i) {\n if (i > 3) buf.append(':');\n buf.append(String.format(\"%02x\", b[i]));\n }\n\n return buf.toString();\n }","public Date getDay() {\r\n return day;\r\n }","public Date getDay() {\r\n return day;\r\n }","public Date getDay() {\r\n return day;\r\n }","public Date getDay() {\r\n return day;\r\n }","public Date getDay() {\r\n return day;\r\n }","public static boolean isMac() {\n\t\tString platform = SWT.getPlatform();\n\t\t\n\t\treturn (platform.equalsIgnoreCase(\"carbon\") || platform.equalsIgnoreCase(\"cocoa\"));\n\t}","public int deleteByPrimaryKey(Date day, String mscid) {\r\n DyMscMgwSccp key = new DyMscMgwSccp();\r\n key.setDay(day);\r\n key.setMscid(mscid);\r\n int rows = getSqlMapClientTemplate().delete(\"DY_MSC_MGW_SCCP.ibatorgenerated_deleteByPrimaryKey\", key);\r\n return rows;\r\n }","public ICareDailyDietChart(String mDate, String mTime, String mFoodMenu,\n\t\t\tString mEventName, String mAlarm, String mProfile) {\n\t\tthis.mDate = mDate;\n\t\tthis.mTime = mTime;\n\t\tthis.mEventName = mEventName;\n\t\tthis.mFoodMenu = mFoodMenu;\n\t\tthis.mAlarm = mAlarm;\n\t\tthis.mProfileId = mProfile;\n\t}"],"string":"[\n \"public double MACDSignal(int t)\\n {\\n Series macd = new Series();\\n macd.x = new double[macd.size = t + 1];\\n for(int i = 0; i<=t; i++)\\n macd.x[i] = MACD(i);\\n return macd.expMovingAverage(9, t);\\n }\",\n \"@Override \\r\\n protected void calculate(int index, DataContext ctx)\\r\\n {\\r\\n DataSeries series = ctx.getDataSeries();\\r\\n boolean complete=true;\\r\\n \\r\\n /*\\r\\n int macdPeriod1 = getSettings().getInteger(MACD_PERIOD1, 12);\\r\\n int macdPeriod2 = getSettings().getInteger(MACD_PERIOD2, 26);\\r\\n Enums.MAMethod macdMethod = getSettings().getMAMethod(MACD_METHOD, Enums.MAMethod.EMA);\\r\\n Object macdInput = getSettings().getInput(MACD_INPUT, Enums.BarInput.CLOSE);\\r\\n if (index >= Util.max(macdPeriod1, macdPeriod2)) {\\r\\n Double MA1 = null, MA2 = null;\\r\\n MA1 = series.ma(macdMethod, index, macdPeriod1, macdInput);\\r\\n MA2 = series.ma(macdMethod, index, macdPeriod2, macdInput);\\r\\n \\r\\n double MACD = MA1 - MA2; \\r\\n series.setDouble(index, Values.MACD, MACD);\\r\\n\\r\\n int signalPeriod = getSettings().getInteger(Inputs.SIGNAL_PERIOD, 9);\\r\\n\\r\\n // Calculate moving average of MACD (signal line)\\r\\n Double signal = series.ma(getSettings().getMAMethod(Inputs.SIGNAL_METHOD, Enums.MAMethod.SMA), index, signalPeriod, Values.MACD);\\r\\n series.setDouble(index, Values.SIGNAL, signal);\\r\\n \\r\\n if (signal != null) series.setDouble(index, Values.HIST, MACD - signal);\\r\\n\\r\\n if (series.isBarComplete(index)) {\\r\\n // Check for signal events\\r\\n Coordinate c = new Coordinate(series.getStartTime(index), signal);\\r\\n if (crossedAbove(series, index, Values.MACD, Values.SIGNAL)) {\\r\\n MarkerInfo marker = getSettings().getMarker(Inputs.UP_MARKER);\\r\\n String msg = get(\\\"SIGNAL_MACD_CROSS_ABOVE\\\", MACD, signal);\\r\\n if (marker.isEnabled()) addFigure(new Marker(c, Enums.Position.BOTTOM, marker, msg));\\r\\n ctx.signal(index, Signals.CROSS_ABOVE, msg, signal);\\r\\n }\\r\\n else if (crossedBelow(series, index, Values.MACD, Values.SIGNAL)) {\\r\\n MarkerInfo marker = getSettings().getMarker(Inputs.DOWN_MARKER);\\r\\n String msg = get(\\\"SIGNAL_MACD_CROSS_BELOW\\\", MACD, signal);\\r\\n if (marker.isEnabled()) addFigure(new Marker(c, Enums.Position.TOP, marker, msg));\\r\\n ctx.signal(index, Signals.CROSS_BELOW, msg, signal);\\r\\n }\\r\\n }\\r\\n }\\r\\n else complete=false;\\r\\n \\r\\n int rsiPeriod = getSettings().getInteger(RSI_PERIOD);\\r\\n Object rsiInput = getSettings().getInput(RSI_INPUT);\\r\\n if (index < 1) return; // not enough data\\r\\n \\r\\n double diff = series.getDouble(index, rsiInput) - series.getDouble(index-1, rsiInput);\\r\\n double up = 0, down = 0;\\r\\n if (diff > 0) up = diff;\\r\\n else down = diff;\\r\\n \\r\\n series.setDouble(index, Values.UP, up);\\r\\n series.setDouble(index, Values.DOWN, Math.abs(down));\\r\\n \\r\\n if (index <= rsiPeriod +1) return;\\r\\n \\r\\n Enums.MAMethod method = getSettings().getMAMethod(RSI_METHOD);\\r\\n double avgUp = series.ma(method, index, rsiPeriod, Values.UP);\\r\\n double avgDown = series.ma(method, index, rsiPeriod, Values.DOWN);\\r\\n double RS = avgUp / avgDown;\\r\\n double RSI = 100.0 - ( 100.0 / (1.0 + RS));\\r\\n\\r\\n series.setDouble(index, Values.RSI, RSI);\\r\\n \\r\\n // Do we need to generate a signal?\\r\\n GuideInfo topGuide = getSettings().getGuide(Inputs.TOP_GUIDE);\\r\\n GuideInfo bottomGuide = getSettings().getGuide(Inputs.BOTTOM_GUIDE);\\r\\n if (crossedAbove(series, index, Values.RSI, topGuide.getValue())) {\\r\\n series.setBoolean(index, Signals.RSI_TOP, true);\\r\\n ctx.signal(index, Signals.RSI_TOP, get(\\\"SIGNAL_RSI_TOP\\\", topGuide.getValue(), round(RSI)), round(RSI));\\r\\n }\\r\\n else if (crossedBelow(series, index, Values.RSI, bottomGuide.getValue())) {\\r\\n series.setBoolean(index, Signals.RSI_BOTTOM, true);\\r\\n ctx.signal(index, Signals.RSI_BOTTOM, get(\\\"SIGNAL_RSI_BOTTOM\\\", bottomGuide.getValue(), round(RSI)), round(RSI));\\r\\n }\\r\\n */\\r\\n series.setComplete(index, complete);\\r\\n }\",\n \"public abstract int getDeviation(\\n CalendarDate calendarDay,\\n TZID tzid\\n );\",\n \"public double MACD(int slow, int fast, int t)\\n {\\n if(slow<=fast)\\n throw new IndexOutOfBoundsException(\\\"MACD(\\\" + slow + \\\" - \\\" +\\n fast + \\\") is undefined at time \\\" + t);\\n return expMovingAverage(slow, t) - expMovingAverage(fast, t);\\n }\",\n \"public String[] defineDaysLine(String day) {\\n int shiftPositions = -1;\\n String[] definedDayLine = {Const.DAY_SUNDAY, Const.DAY_MONDAY, Const.DAY_TUESDAY, Const.DAY_WEDNESDAY,\\n Const.DAY_THURSDAY, Const.DAY_FRIDAY, Const.DAY_SATURDAY};\\n for (int i = 0; i < definedDayLine.length; i++) {\\n if (day.equals(definedDayLine[i])) {\\n shiftPositions = i;\\n }\\n }\\n String[] tempArray = new String[definedDayLine.length];\\n System.arraycopy(definedDayLine, shiftPositions, tempArray, 0, definedDayLine.length - shiftPositions);\\n System.arraycopy(definedDayLine, 0, tempArray, definedDayLine.length - shiftPositions, shiftPositions);\\n return tempArray;\\n }\",\n \"@Test\\n public void getSecurityPriceTechnicalsMacdTest() throws ApiException, NoSuchMethodException {\\n String identifier = null;\\n Integer fastPeriod = null;\\n Integer slowPeriod = null;\\n Integer signalPeriod = null;\\n String priceKey = null;\\n String startDate = null;\\n String endDate = null;\\n Integer pageSize = null;\\n String nextPage = null;\\n ApiResponseSecurityMovingAverageConvergenceDivergence response = api.getSecurityPriceTechnicalsMacd(identifier, fastPeriod, slowPeriod, signalPeriod, priceKey, startDate, endDate, pageSize, nextPage);\\n\\n // TODO: test validations\\n }\",\n \"private Double[] getDayValue24(DayEM dayEm) {\\n\\n\\t Double[] dayValues = new Double[24];\\n\\n\\t /* OPF-610 정규화 관련 처리로 인한 주석\\n\\t dayValues[0] = (dayEm.getValue_00() == null ? 0 : dayEm.getValue_00());\\n\\t dayValues[1] = (dayEm.getValue_01() == null ? 0 : dayEm.getValue_01());\\n\\t dayValues[2] = (dayEm.getValue_02() == null ? 0 : dayEm.getValue_02());\\n\\t dayValues[3] = (dayEm.getValue_03() == null ? 0 : dayEm.getValue_03());\\n\\t dayValues[4] = (dayEm.getValue_04() == null ? 0 : dayEm.getValue_04());\\n\\t dayValues[5] = (dayEm.getValue_05() == null ? 0 : dayEm.getValue_05());\\n\\t dayValues[6] = (dayEm.getValue_06() == null ? 0 : dayEm.getValue_06());\\n\\t dayValues[7] = (dayEm.getValue_07() == null ? 0 : dayEm.getValue_07());\\n\\t dayValues[8] = (dayEm.getValue_08() == null ? 0 : dayEm.getValue_08());\\n\\t dayValues[9] = (dayEm.getValue_09() == null ? 0 : dayEm.getValue_09());\\n\\t dayValues[10] = (dayEm.getValue_10() == null ? 0 : dayEm.getValue_10());\\n\\t dayValues[11] = (dayEm.getValue_11() == null ? 0 : dayEm.getValue_11());\\n\\t dayValues[12] = (dayEm.getValue_12() == null ? 0 : dayEm.getValue_12());\\n\\t dayValues[13] = (dayEm.getValue_13() == null ? 0 : dayEm.getValue_13());\\n\\t dayValues[14] = (dayEm.getValue_14() == null ? 0 : dayEm.getValue_14());\\n\\t dayValues[15] = (dayEm.getValue_15() == null ? 0 : dayEm.getValue_15());\\n\\t dayValues[16] = (dayEm.getValue_16() == null ? 0 : dayEm.getValue_16());\\n\\t dayValues[17] = (dayEm.getValue_17() == null ? 0 : dayEm.getValue_17());\\n\\t dayValues[18] = (dayEm.getValue_18() == null ? 0 : dayEm.getValue_18());\\n\\t dayValues[19] = (dayEm.getValue_19() == null ? 0 : dayEm.getValue_19());\\n\\t dayValues[20] = (dayEm.getValue_20() == null ? 0 : dayEm.getValue_20());\\n\\t dayValues[21] = (dayEm.getValue_21() == null ? 0 : dayEm.getValue_21());\\n\\t dayValues[22] = (dayEm.getValue_22() == null ? 0 : dayEm.getValue_22());\\n\\t dayValues[23] = (dayEm.getValue_23() == null ? 0 : dayEm.getValue_23());\\n\\t\\t\\t*/\\n\\t \\n\\t return dayValues;\\n\\t }\",\n \"public void generateMahadashaAndAntardashaTable(Vector<MahaDashaBean> dasha, PdfContentByte canvas, String planetname, int tableX, float tableY,ColorElement mycolor) {\\n\\t\\tFont font = new Font();\\n\\t\\tfont.setSize(this.getTableDatafont());\\n\\t\\tfont.setColor(mycolor.fillColor(getTableDataColor()));\\n\\t\\t//Font font2 = new Font();\\n\\t\\t// font2.setSize(this.getTableDatafont());\\n\\t\\t// font2.setStyle(\\\"BOLD\\\");\\n\\t\\tFont font3 = new Font();\\n\\t\\tfont3.setSize(this.getSemiHeading());\\n\\t\\tfont3.setColor(mycolor.fillColor(getTableHeadingColor()));\\n\\t\\t// RashiHouseBean rashiBean=null;\\n\\t\\tMahaDashaBean mahadashabean = null;\\n\\t\\tPdfPTable mahadashaTable = null;\\n\\n\\t\\t//\\tColumnText.showTextAligned(canvas, Element.ALIGN_CENTER,new Phrase(planetname,font3),tableX+10,tableY+15,0);\\n\\t\\tmahadashaTable = new PdfPTable(3);\\n\\t\\tmahadashaTable.setTotalWidth(140);\\n\\t\\tString[] monthArr = new String[2];\\n\\t\\tString month = null;\\n\\t\\ttry {\\n\\t\\t\\tmahadashaTable.setWidths(new int[]{40, 50, 50});\\n\\t\\t} catch (DocumentException ex) {\\n\\t\\t\\tex.printStackTrace();\\n\\t\\t}\\n\\t\\tmahadashaTable.getDefaultCell().setBorderWidth(0);\\n\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(\\\"Antar\\\", font3)));\\n\\t\\tmahadashaTable.getDefaultCell().setBorderWidth(0);\\n\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(\\\"Beginning\\\", font3)));\\n\\t\\tmahadashaTable.getDefaultCell().setBorderWidth(0);\\n\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(\\\"Ending\\\", font3)));\\n\\n\\n\\t\\tif (!StringUtils.isBlank(dasha.get(0).getYear())) {\\n\\t\\t\\t// logger.info(\\\"**************||||||||||||||||||Antardashaaaaaaaaaaaaaaaaaaa||||||||||||||||||\\\" + dasha.get(0).getYear());\\n\\t\\t\\tmonthArr = dasha.get(0).getYear().split(\\\"_\\\");\\n\\n\\t\\t\\tColumnText.showTextAligned(canvas, Element.ALIGN_CENTER, new Phrase(monthArr[0], font3), tableX + 20, tableY + 15, 0);\\n\\t\\t\\tColumnText.showTextAligned(canvas, Element.ALIGN_CENTER,\\n\\t\\t\\t\\t\\tnew Phrase(monthArr[1], font), tableX + 35, tableY + 4, 0);\\n\\n\\t\\t}\\n\\n\\n\\t\\tfor (int loop = 0; loop < dasha.size(); loop++) {\\n\\t\\t\\t// rashiBean=(RashiHouseBean)dasha.get(loop);\\n\\t\\t\\tmahadashabean = (MahaDashaBean) dasha.get(loop);\\n\\t\\t\\tdrawLine1(canvas, tableX, tableY, tableX + 140, tableY);\\n\\t\\t\\tdrawLine1(canvas, tableX, (tableY - 15), tableX + 140, (tableY - 15));\\n\\t\\t\\tdrawLine1(canvas, tableX, (tableY - 125), tableX + 140, (tableY - 125));\\n\\n\\t\\t\\tmahadashaTable.getDefaultCell().setBorderWidth(0);\\n\\t\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(mahadashabean.getPlanetName(), font)));\\n\\t\\t\\tmahadashaTable.getDefaultCell().setBorderWidth(0);\\n\\t\\t\\tString tm=mahadashabean.getStartTime();\\n\\t\\t\\tif(tm!=null && tm!=\\\"\\\")\\n\\t\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(tm.split(\\\" \\\")[0], font)));\\n\\t\\t\\telse\\n\\t\\t\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(\\\"\\\", font)));\\n\\t\\t\\t\\n\\t\\t\\tmahadashaTable.getDefaultCell().setBorderWidth(0);\\n\\t\\t\\ttm=mahadashabean.getEndTime();\\n\\t\\t\\t\\tif(tm!=null && tm!=\\\"\\\")\\n\\t\\t\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(tm.split(\\\" \\\")[0], font)));\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(\\\"\\\", font)));\\n\\t\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t\\n\\n\\t\\t}\\n\\t\\tmahadashaTable.writeSelectedRows(0, -1, tableX, tableY, writer.getDirectContent());\\n\\n\\n\\n\\t}\",\n \"@Override\\n\\tpublic boolean testExitAtDay (StockData sd, int strategyId, int lookback) {\\n\\n\\t\\tboolean toReturn = false;\\n\\n\\t\\tMacD macdData = sd.getMacd494();\\n\\n\\t\\tdouble[] macd = macdData.getMacd();\\n\\t\\tdouble[] signal = macdData.getSignal();\\n\\t\\tdouble[] histogram = macdData.getHistogram();\\n\\n\\t\\t\\t// If this is bullish strategy, in which case we are looking for the macd to cross up and over \\n\\t\\t\\t// center line or to cross back down the signal line (as a stop loss). We use the histogram to detect such\\n\\t\\t\\t// a signal line crossover.\\n\\t\\tif (strategyId == 0) {\\n\\n\\t\\t\\tif (((macd[lookback] > 0) && (macd[lookback + 1] < 0)) ||\\n\\t\\t\\t\\t((histogram[lookback] < 0) && (histogram[lookback + 1] > 0)))\\n\\t\\t\\t\\t\\ttoReturn = true;\\n\\n\\t\\t}\\n // This bullish strategy is just a slight modification -- it also exits if the MacD turns around at all.\\n else if (strategyId == 1) {\\n\\n \\t\\tif (((macd[lookback] > 0) && (macd[lookback + 1] < 0)) ||\\n\\t\\t\\t\\t((histogram[lookback] < 0) && (histogram[lookback + 1] > 0)) ||\\n (macd[lookback] < macd[lookback + 1]))\\n\\t\\t\\t\\t\\ttoReturn = true;\\n\\n }\\n\\t\\t\\t// If this is bearish strategy, in which case we are looking for the macd to cross down and under the\\n\\t\\t\\t// center line or to cross back up the signal line (as a stop loss). We use the histogram to detect such\\n\\t\\t\\t// a signal line crossover.\\n\\t\\telse if (strategyId == 2) {\\n\\n\\t\\t\\tif (((macd[lookback] < 0) && (macd[lookback + 1] > 0)) ||\\n\\t\\t\\t\\t((histogram[lookback] > 0) && (histogram[lookback + 1] < 0)))\\n\\t\\t\\t\\t\\ttoReturn = true;\\n\\n\\t\\t}\\n // This bullish strategy is just a slight modification -- it also exits if the MacD turns around at all.\\n else if (strategyId == 3) {\\n\\n \\tif (((macd[lookback] < 0) && (macd[lookback + 1] > 0)) ||\\n\\t\\t\\t\\t((histogram[lookback] > 0) && (histogram[lookback + 1] < 0)) ||\\n (macd[lookback] > macd[lookback + 1]))\\n\\t\\t\\t\\t\\ttoReturn = true;\\n\\n }\\n\\n\\t\\treturn toReturn;\\n\\n\\t}\",\n \"@SuppressWarnings(\\\"unchecked\\\")\\n\\t@External(readonly = true)\\n\\tpublic Map<String, String> get_daily_payouts(BigInteger day) {\\n\\t\\t/***\\n Get daily payouts for a game in a particular day\\n :param day: Index of the day for which payouts is to be returned\\n :type day: int\\n :return: Payouts of the game in that particular day\\n :rtype: int\\n ***/\\n\\t\\tif (day.compareTo(BigInteger.ONE)== -1) {\\n\\t\\t\\tBigInteger now = BigInteger.valueOf(Context.getBlockTimestamp());\\t\\t\\n\\t\\t\\tday = day.add(now.divide(U_SECONDS_DAY));\\n\\t\\t}\\n\\t\\t\\n\\n\\t\\tMap.Entry<String, String>[] payouts = new Map.Entry[this.get_approved_games().size()]; \\n\\n\\t\\tfor (int i=0; i<this.get_approved_games().size(); i++) {\\n\\t\\t\\tAddress game = this.get_approved_games().get(i);\\n\\t\\t\\tpayouts[i] = Map.entry(game.toString(), String.valueOf(this.payouts.at(day).get(game)));\\n\\t\\t}\\n\\t\\treturn Map.ofEntries(payouts);\\n\\t}\",\n \"public static void printDay(Day d) {\\n\\t\\t\\n\\t\\tUtility.printString(\\\"-----------------\\\\n\\\");\\n\\t\\tUtility.printString(d.getDay() + \\\".\\\" + Utility.weekDayToString(d.getDay()) + \\\" (\\\" + d.getKcals() + \\\" Kcal)\\\" + \\\" \\\\n\\\");\\n\\t\\t\\n\\t\\t\\n\\t\\tfor(MealTime mt : d.getMealTimes()) {\\n\\t\\t\\tprintMealtime(mt);\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\t}\",\n \"public Double getDailySaleWithoutVat(int month, int day, int year, int storeCode) {\\n\\t\\tDouble amount = getRawGross(month, day, year, storeCode)/getVatRate();\\r\\n\\t\\tlogger.debug(\\\"Raw Gross: \\\"+amount);\\r\\n\\t\\treturn amount;\\r\\n//\\t\\treturn dailySale+totDisc+vat;\\r\\n\\t}\",\n \"public abstract double getCarbon();\",\n \"private Day getDay(int day, int month) {\\n return mainForm.getDay(day, month);\\n }\",\n \"public static String getMacAddress() {\\n try {\\n List<NetworkInterface> all = Collections.list(NetworkInterface.getNetworkInterfaces());\\n for (NetworkInterface nif : all) {\\n if (!nif.getName().equalsIgnoreCase(\\\"wlan0\\\")) continue;\\n\\n byte[] macBytes = nif.getHardwareAddress();\\n if (macBytes == null) {\\n return \\\"\\\";\\n }\\n\\n StringBuilder res1 = new StringBuilder();\\n for (byte b : macBytes) {\\n res1.append(String.format(\\\"%02X:\\\",b));\\n }\\n\\n if (res1.length() > 0) {\\n res1.deleteCharAt(res1.length() - 1);\\n }\\n return res1.toString();\\n }\\n } catch (Exception ex) {\\n }\\n return \\\"02:00:00:00:00:00\\\";\\n }\",\n \"public double averageDayDriveDistance(String day)\\n\\t{\\n\\t\\tint dayCount = 0; //total days run through\\n\\t\\tString currentDate = \\\"\\\";\\n\\t\\tdouble totalDistance = 0;\\n\\t\\tfor(int i = 0; i < saveData.size(); i++)\\n\\t\\t{\\n\\t\\t\\t//figures out the number of days, then averages the total by that number\\n\\t\\t\\tif(day.equals(saveData.get(i).get(\\\"day\\\")))\\n\\t\\t\\t{\\n\\t\\t\\t\\tif(currentDate.equals(\\\"\\\"))\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t//if there is no current date, we must have just started; set the variable\\n\\t\\t\\t\\t\\tcurrentDate = saveData.get(i).get(\\\"date\\\"); //.get(\\\"date\\\") to be replaced\\n\\t\\t\\t\\t\\ttotalDistance += saveData.get(i).get(\\\"distance\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse if(currentDate.equals(saveData.get(i).get(\\\"date\\\")))\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t//it's the same date, so add this distance to the total distance\\n\\t\\t\\t\\t\\ttotalDistance += saveData.get(i).get(\\\"distance\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t//it's a different date, so set the currentDate to this one,\\n\\t\\t\\t\\t\\t//increment the days counter;\\n\\t\\t\\t\\t\\tcurrentDate = saveData.get(i).get(\\\"date\\\");\\n\\t\\t\\t\\t\\tdayCount++;\\n\\t\\t\\t\\t\\t//add this drive to the total distance\\n\\t\\t\\t\\t\\ttotalDistance += saveData.get(i).get(\\\"distance\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t}\\n\\t\\t//after all the indexes of saveData have been run through\\n\\t\\t//clean up by increment the days counter\\n\\t\\tdayCount++;\\n\\t\\t//get the average by dividing the total distance by the days\\n\\t\\tdouble averageDistancePerDay = this.totalDriveDistance()/dayCount;\\n\\t}\",\n \"public byte[] macAlgorithm(SecretKey encryptionkey, byte[] message) throws Exception\\n {\\n Mac mac = Mac.getInstance(\\\"HmacMD5\\\");\\t\\t// MAC mode\\n mac.init(encryptionkey);\\t\\t// Initialize mac\\n\\n byte[] digest = mac.doFinal(message);\\t\\t// Finish the MAC Operation\\n return digest;\\n }\",\n \"public Double getNetSalesWithoutVat(int month, int day, int year, int storeCode, int... hour) {\\r\\n\\t\\tDouble amt = getNetSales(month, day, year, storeCode, hour);\\r\\n\\t\\tDouble dlysale = (amt)/getVatRate();\\r\\n\\t\\t\\r\\n\\t\\treturn dlysale;\\r\\n\\t}\",\n \"public void setDay(Date day) {\\r\\n this.day = day;\\r\\n }\",\n \"public void setDay(Date day) {\\r\\n this.day = day;\\r\\n }\",\n \"public void setDay(Date day) {\\r\\n this.day = day;\\r\\n }\",\n \"public void setDay(Date day) {\\r\\n this.day = day;\\r\\n }\",\n \"public void setDay(Date day) {\\r\\n this.day = day;\\r\\n }\",\n \"public static double[] berekenDagOmzet(double[] omzet) {\\n double[] temp = new double[DAYS_IN_WEEK];\\n \\n for(int i = 0; i < DAYS_IN_WEEK; i++) {\\n\\n int j = 0;\\n int counter = 0;\\n while( omzet.length > (i + DAYS_IN_WEEK * j) ) {\\n temp[i] += omzet[i + DAYS_IN_WEEK * j];\\n \\n j++;\\n counter++;\\n }\\n temp[i] = temp[i] / counter;\\n }\\n return temp;\\n }\",\n \"public void setDay(Date day) {\\n this.day = day;\\n }\",\n \"public void setMday(int value) {\\n this.mday = value;\\n }\",\n \"@Array({9}) \\n\\t@Field(16) \\n\\tpublic Pointer<Byte > TradingDay() {\\n\\t\\treturn this.io.getPointerField(this, 16);\\n\\t}\",\n \"public void setDay(byte value) {\\n this.day = value;\\n }\",\n \"public void setDay(byte value) {\\n this.day = value;\\n }\",\n \"public void setDay(byte value) {\\n this.day = value;\\n }\",\n \"public void setDay(byte value) {\\n this.day = value;\\n }\",\n \"@BeforeClass\\n\\tpublic static void setUp() {\\n\\t\\t\\n\\t\\tdata = new ArrayList<>();\\n\\t\\tdata.add(new StockTimeFrameData(\\\"1\\\", 0, 0, 0, 0, 0, 22.27, false)); \\n\\t\\tdata.add(new StockTimeFrameData(\\\"2\\\", 0, 0, 0, 0, 0, 22.19, false)); \\n\\t\\tdata.add(new StockTimeFrameData(\\\"3\\\", 0, 0, 0, 0, 0, 22.08, false)); \\n\\t\\tdata.add(new StockTimeFrameData(\\\"4\\\", 0, 0, 0, 0, 0, 22.17, false));\\t\\n\\t\\tdata.add(new StockTimeFrameData(\\\"5\\\", 0, 0, 0, 0, 0, 22.18, false)); \\n\\t\\tdata.add(new StockTimeFrameData(\\\"6\\\", 0, 0, 0, 0, 0, 22.13, false)); \\n\\t\\tdata.add(new StockTimeFrameData(\\\"7\\\", 0, 0, 0, 0, 0, 22.23, false)); \\t\\n\\t\\tdata.add(new StockTimeFrameData(\\\"8\\\", 0, 0, 0, 0, 0, 22.43, false)); \\n\\t\\tdata.add(new StockTimeFrameData(\\\"9\\\", 0, 0, 0, 0, 0, 22.24, false)); \\n\\t\\tdata.add(new StockTimeFrameData(\\\"10\\\", 0, 0, 0, 0, 0, 22.29, false)); \\n\\t\\tdata.add(new StockTimeFrameData(\\\"11\\\", 0, 0, 0, 0, 0, 22.15, false)); \\n\\t\\tdata.add(new StockTimeFrameData(\\\"12\\\", 0, 0, 0, 0, 0, 22.39, false)); \\n\\t\\tdata.add(new StockTimeFrameData(\\\"13\\\", 0, 0, 0, 0, 0, 22.38, false)); \\n\\t\\tdata.add(new StockTimeFrameData(\\\"14\\\", 0, 0, 0, 0, 0, 22.61, false)); \\n\\t\\t//data.add(new StockTimeFrameData(\\\"15\\\", 0, 0, 0, 0, 0, 23.36, false)); \\n\\n\\t\\tmacd = new MACD(data, 10, 4, 6);\\n\\t}\",\n \"public String getFormattedMACAddress() {\\n String defaultReturn = \\\"00:00:00:00:00:00\\\";\\n\\n // Validate the data\\n if (macAddress == null) {\\n return defaultReturn;\\n }\\n String mac = macAddress.replace(\\\"-\\\", \\\"\\\");\\n if (mac.length() != 12) {\\n return defaultReturn;\\n }\\n\\n List<String> parts = new ArrayList<>();\\n for (int i = 0; i < 6; i++) {\\n int offset = 2 * i;\\n parts.add(mac.substring(offset, offset + 2));\\n }\\n\\n return String.join(\\\":\\\", parts);\\n }\",\n \"public void setDay(final short day) {\\r\\n\\t\\tthis.day = day;\\r\\n\\t}\",\n \"@Override\\n\\tpublic double getCarbon() {\\n\\t\\treturn 0;\\n\\t}\",\n \"private double calculateFeesEarnedEachDayOfWeek(ArrayList<Pair<Fees, Time>> timeslots, DayOfWeek day) {\\n return daysOfWeek[day.ordinal()] * timeslots.stream()\\n .filter(p -> convertDayOfWeek(p.getValue().getDay()).equals(day))\\n .mapToDouble(p -> p.getValue().getTuitionHours() * p.getKey().getFeesValue())\\n .sum();\\n }\",\n \"public void setDay(byte value) {\\n this.day = value;\\n }\",\n \"public void setDay(byte value) {\\r\\n this.day = value;\\r\\n }\",\n \"public String getSomeDayInfo(int day){\\n\\t\\tHashMap<String,String> hashMap = getSomeDaydata(day);\\n\\t\\tStringBuilder sb = new StringBuilder();\\n\\t\\tsb.append(hashMap.get(\\\"日期\\\")+\\\" \\\"+hashMap.get(\\\"天气\\\")+\\\"\\\\n\\\");\\n\\t\\tsb.append(\\\"最\\\"+hashMap.get(\\\"最高温\\\")+\\\"\\\\n\\\"+\\\"最\\\"+hashMap.get(\\\"最低温\\\"));\\n\\t\\tsb.append(\\\"\\\\n风力:\\\"+hashMap.get(\\\"风力\\\"));\\n\\n\\t\\treturn sb.toString();\\n\\t}\",\n \"public final native double setDate(int dayOfMonth) /*-{\\n this.setDate(dayOfMonth);\\n return this.getTime();\\n }-*/;\",\n \"public static String emptyDefaultDay(String day) {\\n if (StringUtils.isEmpty(day)) {\\n return new SimpleDateFormat(\\\"yyyy-MM-dd\\\").format(new Date());\\n } else {\\n return day;\\n }\\n }\",\n \"public void dayIsLike() \\r\\n\\t{ \\r\\n\\t\\tswitch (day) \\r\\n\\t\\t{ \\r\\n\\t\\tcase MONDAY: \\r\\n\\t\\t\\tSystem.out.println(\\\"Mondays are bad.\\\"); \\r\\n\\t\\t\\tbreak; \\r\\n\\t\\tcase FRIDAY: \\r\\n\\t\\t\\tSystem.out.println(\\\"Fridays are better.\\\"); \\r\\n\\t\\t\\tbreak; \\r\\n\\t\\tcase SATURDAY: \\r\\n\\t\\t\\tSystem.out.println(\\\"Saturdays are better.\\\"); \\r\\n\\t\\t\\tbreak;\\r\\n\\t\\tcase SUNDAY: \\r\\n\\t\\t\\tSystem.out.println(\\\"Weekends are best.\\\"); \\r\\n\\t\\t\\tbreak; \\r\\n\\t\\tdefault: \\r\\n\\t\\t\\tSystem.out.println(\\\"Midweek days are so-so.\\\"); \\r\\n\\t\\t\\tbreak; \\r\\n\\t\\t} \\r\\n\\t}\",\n \"public void setDay(String day) {\\n\\n\\t\\tthis.day = day;\\n\\t}\",\n \"public void dayNightCycle(boolean debug) {\\r\\n float distance;\\r\\n int timeUnit;\\r\\n float max;\\r\\n if (debug) {\\r\\n timeUnit = seconds - 5;\\r\\n max = 60 / 2f;\\r\\n } else {\\r\\n timeUnit = hours - 2;\\r\\n max = 24 / 2f;\\r\\n }\\r\\n\\r\\n if (timeUnit <= max) {\\r\\n distance = timeUnit;\\r\\n } else {\\r\\n distance = max - (timeUnit - max);\\r\\n }\\r\\n\\r\\n dayOpacity = distance / max;\\r\\n }\",\n \"public final double calculateCarbon() {\\n\\n if (calories > 2000) {\\n allowedCarbonPerYear = 2200 * quantity;\\n\\n } else {\\n allowedCarbonPerYear = 2000 * quantity;\\n }\\n allowedCarbonPerDay = (double) allowedCarbonPerYear / (double) 365;\\n // String strDouble = String.format(\\\"%.2f\\\", allowedCarbonPerDay);\\n // System.out.println(strDouble);\\n return allowedCarbonPerDay;\\n\\n }\",\n \"public ArrayList<Forecast> getForecastsForDay( int day ) {\\n if (forecasts.size() == 0) {\\n return null;\\n }\\n\\n int startIndex = 0;\\n int endIndex = 0;\\n\\n if (day < 8) {\\n startIndex = dayIndices[day];\\n }\\n\\n if (startIndex == -1) {\\n return null;\\n }\\n\\n if (day < 7) {\\n endIndex = dayIndices[day+1];\\n if (endIndex < 0) {\\n endIndex = forecasts.size();\\n }\\n } else {\\n endIndex = forecasts.size();\\n }\\n\\n return new ArrayList<>(forecasts.subList(startIndex, endIndex));\\n }\",\n \"@Override\\n public void cycleSlipDataSet(String nameSat, AbsoluteDate date, double value, Frequency freq) {\\n super.cycleSlipDataSet(nameSat, date, value, freq);\\n }\",\n \"public static DefaultTableModel getSensorDataTime(String day, int id, Date date) {\\n ResultSet rs = null;\\n DefaultTableModel DTm = null;\\n try (\\n PreparedStatement stmt = conn.prepareStatement(SENSOR_DATA_TIME, ResultSet.TYPE_SCROLL_INSENSITIVE, ResultSet.CONCUR_READ_ONLY);) {\\n stmt.setString(1, day);\\n stmt.setInt(2, id);\\n stmt.setDate(3, date);\\n stmt.setDate(4, date);\\n\\n rs = stmt.executeQuery();\\n System.out.println(stmt.toString());\\n DTm = buildTableModel(rs);\\n\\n } catch (SQLException e) {\\n System.err.println(e);\\n }\\n return DTm;\\n }\",\n \"public byte getDay() {\\n return day;\\n }\",\n \"public byte getDay() {\\n return day;\\n }\",\n \"public byte getDay() {\\n return day;\\n }\",\n \"public byte getDay() {\\n return day;\\n }\",\n \"public java.util.Calendar getBFSDAT() {\\n return BFSDAT;\\n }\",\n \"@Override\\n public int[][] getStreakForMonth(CalendarDayModel day) {\\n if (day.getMonth() == 7) {\\n return streaks;\\n }\\n return new int[0][];\\n }\",\n \"public MACAddress getMacAddress() \\n\\t{\\n\\t\\treturn this.hwAddress;\\n\\t}\",\n \"public void setDay(int day) {\\r\\n this.day = day;\\r\\n }\",\n \"public void setDay(int day)\\n {\\n this.day = day;\\n }\",\n \"public byte getDay() {\\r\\n return day;\\r\\n }\",\n \"public void setDay(int day) {\\n\\t\\tthis.day = day;\\n\\t}\",\n \"public void setDay(int day) {\\n\\t\\tthis.day = day;\\n\\t}\",\n \"public static void m10220a() {\\n zzawb.m10214a(\\\"TinkMac\\\", new ii());\\n zzavo.m10184a(f9059b);\\n }\",\n \"@Override\\n\\tpublic boolean testStrategyAtDay(StockData sd, int strategyId, int lookBack) {\\n\\n\\t\\tboolean toReturn = false;\\n\\n\\t\\tMacD macdData = sd.getMacd494();\\n\\n\\t\\tdouble[] macd = macdData.getMacd();\\n\\t\\tdouble[] histogram = macdData.getHistogram();\\n\\n\\t\\tif (strategyId <= 1) {\\n\\n\\t\\t\\tif ((histogram[lookback] > 0) && (histogram[lookback + 1] < 0) && (macd[lookback] < 0))\\n\\t\\t\\t\\ttoReturn = true;\\n\\n\\t\\t}\\n\\t\\telse if (strategyId >= 2) {\\n\\n\\t\\t\\tif ((histogram[lookback] < 0) && (histogram[lookback + 1] > 0) && (macd[lookback] > 0))\\n\\t\\t\\t\\ttoReturn = true;\\n\\n\\t\\t}\\n\\n\\n\\t\\treturn toReturn;\\n\\t}\",\n \"public io.dstore.values.TimestampValueOrBuilder getDayOrBuilder() {\\n if (dayBuilder_ != null) {\\n return dayBuilder_.getMessageOrBuilder();\\n } else {\\n return day_ == null ?\\n io.dstore.values.TimestampValue.getDefaultInstance() : day_;\\n }\\n }\",\n \"DailyFlash getDailyFlashByDate(Store store, Date date);\",\n \"@GetMapping(\\\"/{symbol}/{date}\\\")\\n public ModelAndView daily(@PathVariable(\\\"symbol\\\") String symbol, @PathVariable(\\\"date\\\") String date) throws ParseException {\\n\\n Date sdf = new SimpleDateFormat(\\\"yyyy-MM-dd\\\").parse(date);\\n\\n String beginOfTheMonth = date.substring(0, 7) + \\\"-00\\\";\\n String endOfTheMonth = date.substring(0,7) + \\\"-31\\\";\\n Map<String, Object> model = new HashMap<>();\\n\\n try{\\n String[] resp = quoteRepository.daily(symbol, sdf).split(\\\",\\\");\\n Double closingResp = quoteRepository.closingDay(symbol, sdf);\\n String[] monthResp = quoteRepository.monthly(symbol, beginOfTheMonth, endOfTheMonth).split(\\\",\\\");\\n Double closingMonth = quoteRepository.closingMonth(symbol, beginOfTheMonth, endOfTheMonth);\\n\\n DayRecord dr = new DayRecord(Double.parseDouble(resp[0]), Double.parseDouble(resp[1]), Integer.parseInt(resp[2]), date, symbol);\\n DayRecord mr = new DayRecord(Double.parseDouble(monthResp[0]), Double.parseDouble(monthResp[1]), Integer.parseInt(monthResp[2]), beginOfTheMonth, symbol);\\n\\n model.put(\\\"daily\\\", dr);\\n model.put(\\\"closing\\\", closingResp);\\n model.put(\\\"monthly\\\", mr);\\n model.put(\\\"closingMonthly\\\", closingMonth);\\n\\n\\n return new ModelAndView(\\\"main\\\", model);\\n\\n } catch (Exception e) {\\n return new ModelAndView(\\\"error\\\", model);\\n }\\n }\",\n \"public static void main(String[] args) {\\n\\t\\tint d = Integer.parseInt(args[0]);\\n\\t\\tint m = Integer.parseInt(args[1]);\\n\\t\\tint y = Integer.parseInt(args[2]);\\n\\t\\tint y1 = y - (14 - m) / 12;\\n\\t\\tint x = y1 + y1 / 4 - y1 / 100 + y1 / 400;\\n\\t\\tint m1 = m + 12 * ((14 - m) / 12) - 2;\\n\\t\\tint d1 = (d + x + 31 * m1 / 12) % 7;\\n\\t\\tSystem.out.println(\\\"day :\\\" + d1);\\n\\n\\t\\tswitch (d1) {\\n\\t\\tcase 0:\\n\\t\\t\\tSystem.out.println(\\\"sunday\\\");\\n\\t\\t\\tbreak;\\n\\t\\tcase 1:\\n\\t\\t\\tSystem.out.println(\\\"monday\\\");\\n\\t\\t\\tbreak;\\n\\t\\tcase 2:\\n\\t\\t\\tSystem.out.println(\\\"tuesday\\\");\\n\\t\\t\\tbreak;\\n\\t\\tcase 3:\\n\\t\\t\\tSystem.out.println(\\\"wednsday\\\");\\n\\t\\t\\tbreak;\\n\\t\\tcase 4:\\n\\t\\t\\tSystem.out.println(\\\"thursday\\\");\\n\\t\\t\\tbreak;\\n\\t\\tcase 5:\\n\\t\\t\\tSystem.out.println(\\\"friday\\\");\\n\\t\\t\\tbreak;\\n\\t\\tcase 6:\\n\\t\\t\\tSystem.out.println(\\\"saturday\\\");\\n\\t\\t\\tbreak;\\n\\n\\t\\tdefault:\\n\\t\\t\\tSystem.out.println(\\\"invalid output\\\");\\n\\t\\t\\tbreak;\\n\\t\\t}\\n\\t}\",\n \"public void setCalDay() {\\n\\t\\tfloat goal_bmr;\\n\\t\\tif(gender==\\\"male\\\") {\\n\\t\\t\\tgoal_bmr= (float) (10 * (weight+loseGainPerWeek) + 6.25 * height - 5 * age + 5);\\n\\t\\t}\\n\\t\\telse {\\n\\t\\t\\tgoal_bmr=(float) (10 * (weight+loseGainPerWeek) + 6.25 * height - 5 * age - 161);\\n\\t\\t}\\n\\t\\tswitch (gymFrequency) {\\n\\t\\tcase 0:calDay = goal_bmr*1.2;\\n\\t\\t\\t\\tbreak;\\n\\t\\tcase 1:\\n\\t\\tcase 2:\\n\\t\\tcase 3:calDay = goal_bmr*1.375;\\n\\t\\t\\t\\tbreak;\\n\\t\\tcase 4:\\n\\t\\tcase 5:calDay = goal_bmr*1.55;\\n\\t\\t\\n\\t\\t\\t\\tbreak;\\n\\t\\tcase 6:\\n\\t\\tcase 7:calDay = goal_bmr*1.725;\\n\\t\\t\\t\\tbreak;\\n\\t\\t}\\n\\t}\",\n \"public Series removeDelayedTrend(int depth)\\n {\\n if(depth<1 || depth>=size)\\n throw new IndexOutOfBoundsException();\\n Series oscillator = new Series();\\n oscillator.x = new double[oscillator.size = size - depth];\\n if(oscillator.size>1)\\n oscillator.r = new double[oscillator.size - 1];\\n for(int t = 0; t<oscillator.size; t++)\\n {\\n oscillator.x[t] = x[t + depth] - movingAverage(depth, t + depth);\\n if(t>0)\\n oscillator.r[t - 1] = Math.log(oscillator.x[t]/oscillator.x[t - 1]);\\n }\\n return oscillator;\\n }\",\n \"public String getDeviceSeriesName() {\\r\\n if(isMips32()) {\\r\\n String devname = getDeviceName();\\r\\n\\r\\n if(devname.startsWith(\\\"M\\\")) {\\r\\n return devname.substring(0, 3);\\r\\n } else if(devname.startsWith(\\\"USB\\\")) {\\r\\n return devname.substring(0, 5);\\r\\n } else {\\r\\n return devname.substring(0, 7);\\r\\n }\\r\\n } else {\\r\\n return getAtdfFamily();\\r\\n }\\r\\n }\",\n \"public double averageSteps() {\\n if (day==0) return 0;\\n return (double) totalSteps / day;}\",\n \"public byte getDay() {\\n return day;\\n }\",\n \"private void printDays() {\\n for (int dayOfMonth = 1; dayOfMonth <= daysInMonth; ) {\\n for (int j = ((dayOfMonth == 1) ? dayOfWeek - 1 : 0); j < 7 && (dayOfMonth <= daysInMonth); j++) {\\n if (this.isDateChosen == true && date.getDate() == dayOfMonth) {\\n String space = date.getDate() >= 10 ? \\\" \\\" : \\\" \\\";\\n System.out.print(space + ANSI_GREEN + dayOfMonth + ANSI_RESET + \\\" \\\");\\n } else {\\n System.out.printf(\\\"%4d \\\", dayOfMonth);\\n }\\n dayOfMonth++;\\n }\\n System.out.println();\\n }\\n }\",\n \"private void calcDataInTable() {\\n Calendar tempCal = (Calendar) cal.clone();\\n\\n tempCal.set(Calendar.DAY_OF_MONTH, 1);\\n int dayOfWeek;\\n\\n if (tempCal.get(Calendar.DAY_OF_WEEK) == Calendar.SUNDAY) {\\n dayOfWeek = 7;\\n } else {\\n dayOfWeek = tempCal.get(Calendar.DAY_OF_WEEK) - 1;\\n }\\n\\n int dayOfMonth = tempCal.get(Calendar.DAY_OF_MONTH);\\n\\n for (int j = 0; j < 6; j++) {\\n\\n for (int i = 0; i < 7; i++) {\\n\\n if (j != 0) {\\n if (dayOfMonth < 32) {\\n parsedData[j][i] = Integer.toString(dayOfMonth);\\n }\\n\\n if (dayOfMonth > cal.getActualMaximum(Calendar.DAY_OF_MONTH)) {\\n parsedData[j][i] = \\\"\\\";\\n }\\n\\n dayOfMonth++;\\n\\n } else {\\n\\n if ((j == 0) && (i >= dayOfWeek - 1)) {\\n parsedData[j][i] = Integer.toString(dayOfMonth);\\n dayOfMonth++;\\n } else {\\n parsedData[j][i] = \\\"\\\";\\n }\\n\\n\\n }\\n\\n }\\n\\n }\\n}\",\n \"public void doMacrons(){\\r\\n\\t\\tDSElement<Verbum> w = words.first;\\r\\n\\t\\tint count = words.size(); // failsafe counter\\r\\n\\t\\twhile(count > 0){\\r\\n\\t\\t\\t//Make sure word hasn't been macroned before\\r\\n\\t\\t\\tif(w.getItem().macForm.isEmpty()){\\r\\n\\t\\t\\t\\t//delete nom endings\\r\\n\\t\\t\\t\\tdelNomFromMac(w.getItem());\\r\\n\\t\\t\\t\\t//insert macrons into forms\\r\\n\\t\\t\\t\\tmacsToForms(w.getItem());\\r\\n\\t\\t\\t\\t//System.out.println(w.getItem().macForm);\\r\\n\\t\\t\\t\\t//Insert special macrons \\r\\n\\t\\t\\t\\tspecialMacs(w.getItem());\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tw = w.getNext();\\r\\n\\t\\t\\tif(w == null)\\r\\n\\t\\t\\t\\tw = words.first;\\r\\n\\t\\t\\tcount--;\\r\\n\\t\\t}\\r\\n\\t}\",\n \"private void adjustSunAndMoonData()\\n\\t{\\n\\t\\tdouble toRad = Math.PI / 180.0;\\n\\t\\t\\n\\t\\t//find the number of days since the epoch 2000\\n\\t\\tdouble D = ((userYear - 1990)* 365.3) + userDecimalDay + ((userMonth - 1) * 30);\\n\\t\\tdouble sunEg = 279.403303; //at epoch\\n\\t\\tdouble sunE = 0.016713;\\n\\t\\tdouble sunW = 282.768422;\\n\\t\\t//find mean anomaly of the sun (in degrees)\\t\\t\\n\\t\\tdouble sunMeanAnomaly = ((360 / 365.242191) * D) + sunEg - sunW;\\n\\t\\tsunMeanAnomaly = AdjustDegree(sunMeanAnomaly);\\n\\t\\t//find true anomaly of the sun\\n\\t\\tdouble temp = sunMeanAnomaly * toRad;\\n\\t\\ttemp = Math.sin(temp);\\n\\t\\tdouble sunEc = (360 / Math.PI) * sunE * temp;\\n\\t\\tdouble sunTrueAnomaly = sunMeanAnomaly + sunEc;\\n\\t\\tsunTrueAnomaly = AdjustDegree(sunTrueAnomaly);\\n\\t\\t//find ecliptic longitude of the sun (in degrees)\\n\\t\\tdouble sunEcLong = sunTrueAnomaly + sunW;\\n\\t\\tsunEcLong = AdjustDegree(sunEcLong);\\n\\t\\t//find sun declination and right ascension\\n\\t\\ttemp = theCalculator.findPlanetDeclination(sunEg, 0.0, sunEcLong);\\n\\t\\tsun.setDeclination(temp);\\n\\t\\tdouble rightAsc = theCalculator.findPlanetRightAscension(sunEg, 0.0, sunEcLong);\\n\\t\\tsun.setRightAscension(rightAsc);\\n\\t\\ttemp = theCalculator.findHourAngle(rightAsc, userLocalTime);\\n\\t\\tsun.setHourAngle(temp);\\n\\t\\tsun.setMagnitude(-26.0);\\n\\t\\t\\n\\t\\t//find moon mean longitude (in degrees)\\n\\t\\ttemp = 13.1763966 * D + 318.351648;\\n\\t\\ttemp = AdjustDegree(temp);\\n\\t\\tmoon.setMeanLongitude(temp);\\n\\t\\t\\n\\t\\t//find moon mean anomaly (in degrees)\\n\\t\\ttemp = moon.getMeanLongitude() - (0.1114041 * D) - 36.340410;\\n\\t\\ttemp = AdjustDegree(temp);\\n\\t\\tdouble moonMeanAnomaly = temp;\\n\\t\\t\\n\\t\\t//find moon longitude of the node (in degrees)\\n\\t\\ttemp = 318.510105 - 0.0529539 * D;\\n\\t\\ttemp = AdjustDegree(temp);\\n\\t\\tmoon.setLongitudeOfAscendingNode(temp);\\n\\t\\t\\n\\t\\t//calculate moons correction for evection (in degrees)\\n\\t\\tdouble evectionCorrection = theCalculator.correctMoonEvection(sunEcLong, moon.getMeanLongitude(), moonMeanAnomaly);\\n\\t\\t\\n\\t\\t//calculate moons correction for the annual equation\\n\\t\\ttemp = sunMeanAnomaly * toRad;\\n\\t\\tdouble annualEquation = 0.1858 * Math.sin(temp);\\n\\t\\t\\n\\t\\t//find moon's third correction (in degrees)\\n\\t\\tdouble A3 = 0.37 * Math.sin(temp);\\n\\t\\t\\n\\t\\t//find moon corrected anomaly (in degrees)\\n\\t\\tdouble correctedAnomaly = moonMeanAnomaly + evectionCorrection - annualEquation - A3;\\n\\t\\t\\n\\t\\t//find moon's correction for the equation of the centre (in degrees)\\n\\t\\ttemp = correctedAnomaly * toRad;\\n\\t\\tdouble equationCentre = 6.2886 * Math.sin(temp);\\n\\t\\t\\n\\t\\t//find moon's 4th correction (in degrees)\\n\\t\\tdouble A4 = 0.214 * Math.sin(2.0*temp);\\n\\t\\t\\n\\t\\t//find moon's corrected longitude (in degrees)\\n\\t\\tdouble correctedLong = moon.getMeanLongitude() + evectionCorrection + equationCentre - annualEquation + A4;\\n\\t\\t\\n\\t\\t//correct moon's longitude for variation (in degrees)\\n\\t\\ttemp = (2 * (correctedLong - sunEcLong)) * toRad;\\n\\t\\tdouble variation = 0.6583 * Math.sin(temp);\\n\\t\\t\\n\\t\\t//find moon's true longitude (in degrees)\\n\\t\\tdouble trueLong = correctedLong + variation;\\n\\t\\t\\n\\t\\t//calculate moon's corrected longitude of the node (in degrees)\\n\\t\\ttemp = 0.16 * Math.sin(sunMeanAnomaly * toRad);\\n\\t\\tdouble correctedLongNode = moon.getLongitudeOfAscendingNode() - temp;\\n\\t\\t\\n\\t\\t//find ecliptic longitude of moon (in degrees)\\n\\t\\t//find y (in radians)\\n\\t\\tdouble i = 5.145396 * toRad;\\n\\t\\ttemp = (trueLong - correctedLongNode) * toRad;\\n\\t\\tdouble y = Math.sin(temp) * Math.cos(i);\\n\\t\\t//find x (in radians)\\n\\t\\tdouble x = Math.cos(temp);\\n\\t\\tdouble tan = Math.atan2(y, x);\\n\\t\\tdouble eclipticLong = tan + correctedLongNode;\\n\\t\\t\\n\\t\\t//find ecliptic latitude of moon (in degrees)\\n\\t\\tdouble eclipticLat = Math.asin(Math.sin(temp * Math.sin(i)));\\n\\t\\t\\n\\t\\t//find moon mean obliquity (in degrees)\\n\\t\\tdouble T = (userJulianDate - epoch2000JD) / 36525.0;\\n\\t\\tdouble obliquity = 23.439292 - (((46.815 * T) + (T * T * 0.0006) - (T * T * T * 0.00181))/3600.0);\\n\\t\\t\\n\\t\\t//find moon declination\\n\\t\\tdouble declination = theCalculator.findPlanetDeclination(obliquity, eclipticLat, eclipticLong);\\n\\t\\tmoon.setDeclination(declination);\\n\\t\\t\\n\\t\\t//find moon right ascension\\n\\t\\trightAsc = theCalculator.findPlanetRightAscension(obliquity, eclipticLat, eclipticLong);\\n\\t\\tmoon.setRightAscension(rightAsc);\\n\\t\\t\\n\\t\\t//find moon hour angle\\n\\t\\tdouble hourAngle = theCalculator.findHourAngle(rightAsc, userLocalTime);\\n\\t\\tmoon.setHourAngle(hourAngle);\\n\\t\\t\\n\\t\\t//find moon phase - book's method\\n\\t\\tdouble phase = Math.abs((trueLong - sunEcLong) * toRad);\\n\\t\\t\\t\\t\\n\\t\\t//find moon phase\\t\\t \\n\\t\\tif ( phase > 2.2 ) //full moon to third quarter\\n\\t\\t{\\t\\t\\t\\n\\t\\t\\tif (phase >= 2.7) //full\\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m10.png\\\");\\n\\t\\t\\tif (phase >= 2.6) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m11.png\\\");\\n\\t\\t\\tif (phase >= 2.5) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m12.png\\\");\\n\\t\\t\\tif (phase >= 2.4) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m13.png\\\");\\n\\t\\t\\tif (phase >= 2.3) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m14.png\\\");\\n\\t\\t\\tif (phase >= 2.2) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m15.png\\\");\\n\\t\\t\\telse\\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m16.png\\\"); //third quarter\\n\\t\\t} \\n\\t\\telse if ( phase > 1.55 ) //third quarter to first quarter\\n\\t\\t{\\t\\t\\t \\n\\t\\t\\tif (phase >= 2.2) //third quarter\\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m16.png\\\");\\n\\t\\t\\tif (phase >= 2.1) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m17.png\\\");\\n\\t\\t\\tif (phase >= 2.0) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m18.png\\\");\\n\\t\\t\\tif (phase >= 1.8) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m08.png\\\");\\n\\t\\t\\tif (phase >= 1.7) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m07.png\\\");\\n\\t\\t\\tif (phase >= 1.6) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m06.png\\\");\\n\\t\\t\\telse\\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m05.png\\\"); //first quarter\\n\\t\\t} \\n\\t\\telse if ( phase > 1.0 ) //first quarter\\n\\t\\t{\\t\\t\\t\\n\\t\\t\\tif (phase >= 1.5) //first quarter\\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m07.png\\\");\\n\\t\\t\\tif (phase >= 1.4) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m07.png\\\");\\n\\t\\t\\tif (phase >= 1.3) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m06.png\\\");\\n\\t\\t\\tif (phase >= 1.2) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m06.png\\\");\\n\\t\\t\\tif (phase >= 1.1) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m05.png\\\");\\n\\t\\t\\telse\\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m05.png\\\"); //first quarter\\n\\t\\t} \\n\\t\\telse \\t //new moon to first quarter\\n\\t\\t{\\t\\t\\t\\n\\t\\t\\tif (phase >= 1.0) //first quarter\\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m05.png\\\");\\n\\t\\t\\tif (phase >= 0.9) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m04.png\\\");\\n\\t\\t\\tif (phase >= 0.8) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m03.png\\\");\\n\\t\\t\\tif (phase >= 0.7) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m02.png\\\");\\n\\t\\t\\tif (phase >= 0.6) \\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m01.png\\\");\\n\\t\\t\\telse\\n\\t\\t\\t\\tmoon.setUnicodeIcon(\\\"m00.png\\\"); //new moon\\n\\t\\t} \\n \\t}\",\n \"public String calculateDay(String day) throws ParseException {\\n\\t\\tSimpleDateFormat simpleDateformat = new SimpleDateFormat(\\\"EEEE\\\");\\r\\n\\t\\tint iYear = Calendar.getInstance().get(Calendar.YEAR);\\r\\n\\t\\tint iMonth = Calendar.getInstance().get(Calendar.MONTH) + 1;\\r\\n\\t\\tString yourDate = 15 + \\\"/\\\" + iMonth + \\\"/\\\" + iYear;\\r\\n\\t\\t// String string = yourDate;\\r\\n\\t\\tDateFormat format = new SimpleDateFormat(\\\"dd/MM/yyyy\\\", Locale.ENGLISH);\\r\\n\\t\\tDate date = format.parse(yourDate);\\r\\n\\t\\tthis.calculatedDay = simpleDateformat.format(date);\\r\\n\\t\\t//System.out.println(\\\"Calculated Day :: \\\" + this.calculatedDay);\\r\\n\\t\\treturn calculatedDay;\\r\\n\\t}\",\n \"double getTickBorderDashOffset();\",\n \"public void removeDay(int day){ // verilen gundeki tum experimentlar silinir.\\r\\n Node last = head;\\r\\n if( last.data.day == day ){ // ilk gun serisinden istenirse direk next day e atla.\\r\\n head = last.nextDay;\\r\\n }\\r\\n else{\\r\\n while( last.next != null ){ // gunun basini bul\\r\\n if( last.next.data.day == day ){ // removeExp ile sil.\\r\\n removeExp(day, 0);\\r\\n }\\r\\n else\\r\\n last = last.next; // ilerle.\\r\\n }\\r\\n }\\r\\n }\",\n \"@java.lang.Override public app.onepass.apis.DayOfWeek getDay() {\\n @SuppressWarnings(\\\"deprecation\\\")\\n app.onepass.apis.DayOfWeek result = app.onepass.apis.DayOfWeek.valueOf(day_);\\n return result == null ? app.onepass.apis.DayOfWeek.UNRECOGNIZED : result;\\n }\",\n \"public int determineDayRandomly() {\\n\\t\\treturn 0;\\r\\n\\t}\",\n \"static double userOnDay(final float rate, final int day) {\\n return Math.pow(rate, day);\\n }\",\n \"public io.dstore.values.StringValueOrBuilder getDayOrBuilder() {\\n if (dayBuilder_ != null) {\\n return dayBuilder_.getMessageOrBuilder();\\n } else {\\n return day_ == null ?\\n io.dstore.values.StringValue.getDefaultInstance() : day_;\\n }\\n }\",\n \"public static void season(int month, int day) {\\r\\n if (month >= 12 && month <= 3 && day <= 16 && day <= 15) {\\r\\n System.out.println(\\\"Winter\\\");\\r\\n }\\r\\n if (month >= 3 && month <= 6 && day <= 16 && day <= 15) {\\r\\n System.out.println(\\\"Spring\\\");\\r\\n }\\r\\n if (month >= 6 && month <= 9 && day <= 16 && day <= 15) {\\r\\n System.out.println(\\\"Summer\\\");\\r\\n }\\r\\n if (month >= 9 && month <= 12 && day <= 16 && day <= 15) {\\r\\n System.out.println(\\\"Fall\\\");\\r\\n }\\r\\n }\",\n \"public void setDay(final int day) {\\n\\t\\tthis.day = day;\\n\\t}\",\n \"@Override\\r\\n\\tpublic void physics() {\\n\\t\\tSystem.out.println(\\\"Every Thursday evening\\\");\\r\\n\\t\\t\\r\\n\\t}\",\n \"public Double getCarbon() {\\n return product.getCarbon() * weight / 100;\\n }\",\n \"public double getDPad() {\\n\\t\\treturn this.getRawAxis(6);\\n\\t}\",\n \"@java.lang.Override\\n public app.onepass.apis.DayOfWeek getDay() {\\n @SuppressWarnings(\\\"deprecation\\\")\\n app.onepass.apis.DayOfWeek result = app.onepass.apis.DayOfWeek.valueOf(day_);\\n return result == null ? app.onepass.apis.DayOfWeek.UNRECOGNIZED : result;\\n }\",\n \"public void setMac(java.lang.String mac) {\\n this.mac = mac;\\n }\",\n \"public void unsetDay()\\n {\\n synchronized (monitor())\\n {\\n check_orphaned();\\n get_store().remove_element(DAY$0, 0);\\n }\\n }\",\n \"public String readEthMAC() {\\r\\n\\t\\treturn mFactoryBurnUtil.readEthMAC();\\r\\n\\t}\",\n \"public String format(MacAddress mac) {\\n byte[] b = mac.getInternalBytes();\\n Oui oui = _byHashCode.get(Oui.hashCode(mac.getInternalBytes()));\\n StringBuilder buf = new StringBuilder();\\n\\n if (oui == null) {\\n buf.append(String.format(\\\"Unknown-%02x-%02x-%02x\\\", b[0], b[1], b[2]));\\n } else {\\n buf.append(oui.getShortName());\\n }\\n buf.append('-');\\n\\n for (int i = 3; i < MacAddress.ETH_ALEN; ++i) {\\n if (i > 3) buf.append(':');\\n buf.append(String.format(\\\"%02x\\\", b[i]));\\n }\\n\\n return buf.toString();\\n }\",\n \"public Date getDay() {\\r\\n return day;\\r\\n }\",\n \"public Date getDay() {\\r\\n return day;\\r\\n }\",\n \"public Date getDay() {\\r\\n return day;\\r\\n }\",\n \"public Date getDay() {\\r\\n return day;\\r\\n }\",\n \"public Date getDay() {\\r\\n return day;\\r\\n }\",\n \"public static boolean isMac() {\\n\\t\\tString platform = SWT.getPlatform();\\n\\t\\t\\n\\t\\treturn (platform.equalsIgnoreCase(\\\"carbon\\\") || platform.equalsIgnoreCase(\\\"cocoa\\\"));\\n\\t}\",\n \"public int deleteByPrimaryKey(Date day, String mscid) {\\r\\n DyMscMgwSccp key = new DyMscMgwSccp();\\r\\n key.setDay(day);\\r\\n key.setMscid(mscid);\\r\\n int rows = getSqlMapClientTemplate().delete(\\\"DY_MSC_MGW_SCCP.ibatorgenerated_deleteByPrimaryKey\\\", key);\\r\\n return rows;\\r\\n }\",\n \"public ICareDailyDietChart(String mDate, String mTime, String mFoodMenu,\\n\\t\\t\\tString mEventName, String mAlarm, String mProfile) {\\n\\t\\tthis.mDate = mDate;\\n\\t\\tthis.mTime = mTime;\\n\\t\\tthis.mEventName = mEventName;\\n\\t\\tthis.mFoodMenu = mFoodMenu;\\n\\t\\tthis.mAlarm = mAlarm;\\n\\t\\tthis.mProfileId = mProfile;\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5747135","0.4984603","0.4729237","0.45979315","0.45145375","0.44193342","0.44025046","0.43632177","0.43584004","0.42650777","0.42184192","0.42168382","0.4177957","0.41522455","0.41474697","0.41410518","0.41263267","0.41074225","0.408753","0.408753","0.408753","0.408753","0.408753","0.4086408","0.40584248","0.4041589","0.403596","0.40359348","0.40359348","0.40359348","0.40355793","0.40264007","0.40214884","0.39824086","0.39715427","0.39713222","0.39671573","0.3955179","0.3946059","0.39434928","0.3934206","0.3926957","0.39244264","0.3914898","0.39103815","0.39072302","0.38996863","0.38948065","0.3871529","0.3867169","0.3867169","0.3867169","0.38652304","0.3865191","0.38649097","0.3858946","0.3853994","0.38404563","0.38400856","0.38400856","0.38251036","0.38237843","0.38214988","0.3819406","0.38188013","0.3812472","0.3811218","0.37998882","0.37824652","0.37814137","0.3779635","0.37760845","0.3773072","0.37719926","0.3769606","0.37646833","0.37478605","0.3747275","0.37457624","0.37384924","0.37352934","0.37228137","0.37187764","0.37146506","0.3711766","0.3710211","0.37082627","0.37074903","0.3703323","0.36941433","0.36939615","0.3691016","0.36898544","0.36898544","0.36898544","0.36898544","0.36898544","0.36889935","0.3684801","0.36780304"],"string":"[\n \"0.5747135\",\n \"0.4984603\",\n \"0.4729237\",\n \"0.45979315\",\n \"0.45145375\",\n \"0.44193342\",\n \"0.44025046\",\n \"0.43632177\",\n \"0.43584004\",\n \"0.42650777\",\n \"0.42184192\",\n \"0.42168382\",\n \"0.4177957\",\n \"0.41522455\",\n \"0.41474697\",\n \"0.41410518\",\n \"0.41263267\",\n \"0.41074225\",\n \"0.408753\",\n \"0.408753\",\n \"0.408753\",\n \"0.408753\",\n \"0.408753\",\n \"0.4086408\",\n \"0.40584248\",\n \"0.4041589\",\n \"0.403596\",\n \"0.40359348\",\n \"0.40359348\",\n \"0.40359348\",\n \"0.40355793\",\n \"0.40264007\",\n \"0.40214884\",\n \"0.39824086\",\n \"0.39715427\",\n \"0.39713222\",\n \"0.39671573\",\n \"0.3955179\",\n \"0.3946059\",\n \"0.39434928\",\n \"0.3934206\",\n \"0.3926957\",\n \"0.39244264\",\n \"0.3914898\",\n \"0.39103815\",\n \"0.39072302\",\n \"0.38996863\",\n \"0.38948065\",\n \"0.3871529\",\n \"0.3867169\",\n \"0.3867169\",\n \"0.3867169\",\n \"0.38652304\",\n \"0.3865191\",\n \"0.38649097\",\n \"0.3858946\",\n \"0.3853994\",\n \"0.38404563\",\n \"0.38400856\",\n \"0.38400856\",\n \"0.38251036\",\n \"0.38237843\",\n \"0.38214988\",\n \"0.3819406\",\n \"0.38188013\",\n \"0.3812472\",\n \"0.3811218\",\n \"0.37998882\",\n \"0.37824652\",\n \"0.37814137\",\n \"0.3779635\",\n \"0.37760845\",\n \"0.3773072\",\n \"0.37719926\",\n \"0.3769606\",\n \"0.37646833\",\n \"0.37478605\",\n \"0.3747275\",\n \"0.37457624\",\n \"0.37384924\",\n \"0.37352934\",\n \"0.37228137\",\n \"0.37187764\",\n \"0.37146506\",\n \"0.3711766\",\n \"0.3710211\",\n \"0.37082627\",\n \"0.37074903\",\n \"0.3703323\",\n \"0.36941433\",\n \"0.36939615\",\n \"0.3691016\",\n \"0.36898544\",\n \"0.36898544\",\n \"0.36898544\",\n \"0.36898544\",\n \"0.36898544\",\n \"0.36889935\",\n \"0.3684801\",\n \"0.36780304\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.500716"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":19792,"cells":{"query":{"kind":"string","value":"Returns the MACD technical indicator for the series for the given day. Developed by Gerald Appel, Moving Average Convergence/Divergence (MACD) is one of the simplest and most reliable indicators available. MACD uses moving averages, which are lagging indicators, to include some trendfollowing characteristics. These lagging indicators are turned into a momentum oscillator by subtracting the longer moving average from the shorter moving average. The resulting plot forms a line that oscillates above and below zero, without any upper or lower limits."},"document":{"kind":"string","value":"public double MACD(int slow, int fast, int t)\n {\n if(slow<=fast)\n throw new IndexOutOfBoundsException(\"MACD(\" + slow + \" - \" +\n fast + \") is undefined at time \" + t);\n return expMovingAverage(slow, t) - expMovingAverage(fast, t);\n }"},"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 \r\n protected void calculate(int index, DataContext ctx)\r\n {\r\n DataSeries series = ctx.getDataSeries();\r\n boolean complete=true;\r\n \r\n /*\r\n int macdPeriod1 = getSettings().getInteger(MACD_PERIOD1, 12);\r\n int macdPeriod2 = getSettings().getInteger(MACD_PERIOD2, 26);\r\n Enums.MAMethod macdMethod = getSettings().getMAMethod(MACD_METHOD, Enums.MAMethod.EMA);\r\n Object macdInput = getSettings().getInput(MACD_INPUT, Enums.BarInput.CLOSE);\r\n if (index >= Util.max(macdPeriod1, macdPeriod2)) {\r\n Double MA1 = null, MA2 = null;\r\n MA1 = series.ma(macdMethod, index, macdPeriod1, macdInput);\r\n MA2 = series.ma(macdMethod, index, macdPeriod2, macdInput);\r\n \r\n double MACD = MA1 - MA2; \r\n series.setDouble(index, Values.MACD, MACD);\r\n\r\n int signalPeriod = getSettings().getInteger(Inputs.SIGNAL_PERIOD, 9);\r\n\r\n // Calculate moving average of MACD (signal line)\r\n Double signal = series.ma(getSettings().getMAMethod(Inputs.SIGNAL_METHOD, Enums.MAMethod.SMA), index, signalPeriod, Values.MACD);\r\n series.setDouble(index, Values.SIGNAL, signal);\r\n \r\n if (signal != null) series.setDouble(index, Values.HIST, MACD - signal);\r\n\r\n if (series.isBarComplete(index)) {\r\n // Check for signal events\r\n Coordinate c = new Coordinate(series.getStartTime(index), signal);\r\n if (crossedAbove(series, index, Values.MACD, Values.SIGNAL)) {\r\n MarkerInfo marker = getSettings().getMarker(Inputs.UP_MARKER);\r\n String msg = get(\"SIGNAL_MACD_CROSS_ABOVE\", MACD, signal);\r\n if (marker.isEnabled()) addFigure(new Marker(c, Enums.Position.BOTTOM, marker, msg));\r\n ctx.signal(index, Signals.CROSS_ABOVE, msg, signal);\r\n }\r\n else if (crossedBelow(series, index, Values.MACD, Values.SIGNAL)) {\r\n MarkerInfo marker = getSettings().getMarker(Inputs.DOWN_MARKER);\r\n String msg = get(\"SIGNAL_MACD_CROSS_BELOW\", MACD, signal);\r\n if (marker.isEnabled()) addFigure(new Marker(c, Enums.Position.TOP, marker, msg));\r\n ctx.signal(index, Signals.CROSS_BELOW, msg, signal);\r\n }\r\n }\r\n }\r\n else complete=false;\r\n \r\n int rsiPeriod = getSettings().getInteger(RSI_PERIOD);\r\n Object rsiInput = getSettings().getInput(RSI_INPUT);\r\n if (index < 1) return; // not enough data\r\n \r\n double diff = series.getDouble(index, rsiInput) - series.getDouble(index-1, rsiInput);\r\n double up = 0, down = 0;\r\n if (diff > 0) up = diff;\r\n else down = diff;\r\n \r\n series.setDouble(index, Values.UP, up);\r\n series.setDouble(index, Values.DOWN, Math.abs(down));\r\n \r\n if (index <= rsiPeriod +1) return;\r\n \r\n Enums.MAMethod method = getSettings().getMAMethod(RSI_METHOD);\r\n double avgUp = series.ma(method, index, rsiPeriod, Values.UP);\r\n double avgDown = series.ma(method, index, rsiPeriod, Values.DOWN);\r\n double RS = avgUp / avgDown;\r\n double RSI = 100.0 - ( 100.0 / (1.0 + RS));\r\n\r\n series.setDouble(index, Values.RSI, RSI);\r\n \r\n // Do we need to generate a signal?\r\n GuideInfo topGuide = getSettings().getGuide(Inputs.TOP_GUIDE);\r\n GuideInfo bottomGuide = getSettings().getGuide(Inputs.BOTTOM_GUIDE);\r\n if (crossedAbove(series, index, Values.RSI, topGuide.getValue())) {\r\n series.setBoolean(index, Signals.RSI_TOP, true);\r\n ctx.signal(index, Signals.RSI_TOP, get(\"SIGNAL_RSI_TOP\", topGuide.getValue(), round(RSI)), round(RSI));\r\n }\r\n else if (crossedBelow(series, index, Values.RSI, bottomGuide.getValue())) {\r\n series.setBoolean(index, Signals.RSI_BOTTOM, true);\r\n ctx.signal(index, Signals.RSI_BOTTOM, get(\"SIGNAL_RSI_BOTTOM\", bottomGuide.getValue(), round(RSI)), round(RSI));\r\n }\r\n */\r\n series.setComplete(index, complete);\r\n }","public double MACDSignal(int t)\n {\n Series macd = new Series();\n macd.x = new double[macd.size = t + 1];\n for(int i = 0; i<=t; i++)\n macd.x[i] = MACD(i);\n return macd.expMovingAverage(9, t);\n }","public void visitToneIndicator( DevCat devCat ) {}","@Override\n BackgroundLineChart generateLineChart() {\n\n final BackgroundLineChart lineChart;\n final NumberAxis xAxis = new NumberAxis();\n xAxis.setLabel(\"Time\");\n\n List<XYChart.Series<Number, Number>> seriesList = FXCollections.observableArrayList();\n\n for (DataPoint.Type type : DataPoint.Types.values()) {\n XYChart.Series<Number, Number> series = new XYChart.Series<>();\n series.setName(type.getName());\n seriesList.add(series);\n this.getSeriesMap().put(type, series);\n }\n\n lineChart = new BackgroundLineChart(this.captureSession, xAxis, new NumberAxis(), FXCollections.observableArrayList(seriesList));\n\n //@Source - https://stackoverflow.com/a/44957354 - Enables Toggle of Data Series by clicking on their icon in the legend\n for (Node n : lineChart.getChildrenUnmodifiable()) {\n if (n instanceof Legend) {\n Legend l = (Legend) n;\n for (Legend.LegendItem li : l.getItems()) {\n for (XYChart.Series<Number, Number> s : lineChart.getData()) {\n if (s.getName().equals(li.getText())) {\n li.getSymbol().setCursor(Cursor.HAND); // Hint user that legend symbol is clickable\n li.setText(li.getText() + \" On\");\n li.getSymbol().setOnMouseClicked(me -> {\n if (me.getButton() == MouseButton.PRIMARY) {\n s.getNode().setVisible(!s.getNode().isVisible()); // Toggle visibility of line\n\n String[] displayName = li.getText().split(\" \");\n li.setText(String.format(\"%s %s\", String.join(\" \", Arrays.copyOfRange(displayName, 0, displayName.length - 1)), (s.getNode().isVisible() ? \"On\" : \"Off\")));\n for (XYChart.Data<Number, Number> d : s.getData()) {\n if (d.getNode() != null) {\n d.getNode().setVisible(s.getNode().isVisible()); // Toggle visibility of every node in the series\n }\n }\n lineChart.redraw();\n }\n });\n break;\n }\n }\n }\n }\n }\n //---\n\n return lineChart;\n }","public abstract double getCarbon();","private void initChart() {\n Cartesian cartesian = AnyChart.line();\n\n cartesian.animation(true);\n\n cartesian.padding(10d, 20d, 5d, 20d);\n\n cartesian.crosshair().enabled(true);\n cartesian.crosshair()\n .yLabel(true)\n // TODO ystroke\n .yStroke((Stroke) null, null, null, (String) null, (String) null);\n\n cartesian.tooltip().positionMode(TooltipPositionMode.POINT);\n\n cartesian.title(\"Steps taken in this week and last week\");\n\n cartesian.yAxis(0).title(\"Steps\");\n cartesian.xAxis(0).labels().padding(5d, 5d, 5d, 5d);\n\n List<DataEntry> seriesData = new ArrayList<>();\n Log.d(\"Size This Week\",stepsTakenModelsThisWeek.size()+\"\");\n for(int i = 0 ; i<7 ; i++){\n CustomDataEntry c = new CustomDataEntry(days[i],stepsTakenModelsLastWeek.get(i).getSteps());\n if(i<stepsTakenModelsThisWeek.size()){\n c.setValue(\"value2\",stepsTakenModelsThisWeek.get(i).getSteps());\n }else{\n if(DateUtilities.getDayInAbbBySelectedDate(stepsTakenModelsLastWeek.get(i).getDate()).equals(\n DateUtilities.getCurrentDayInAbb()))\n {\n c.setValue(\"value2\",stepsToday);\n }else{\n c.setValue(\"value2\",0);\n }\n }\n seriesData.add(c);\n }\n\n Set set = Set.instantiate();\n set.data(seriesData);\n Mapping series1Mapping = set.mapAs(\"{ x: 'x', value: 'value' }\");\n Mapping series2Mapping = set.mapAs(\"{ x: 'x', value: 'value2' }\");\n\n Line series1 = cartesian.line(series1Mapping);\n series1.name(\"Last Week\");\n series1.hovered().markers().enabled(true);\n series1.hovered().markers()\n .type(MarkerType.CIRCLE)\n .size(4d);\n series1.tooltip()\n .position(\"right\")\n .anchor(Anchor.LEFT_CENTER)\n .offsetX(5d)\n .offsetY(5d);\n\n Line series2 = cartesian.line(series2Mapping);\n series2.name(\"This Week\");\n series2.hovered().markers().enabled(true);\n series2.hovered().markers()\n .type(MarkerType.CIRCLE)\n .size(4d);\n series2.tooltip()\n .position(\"right\")\n .anchor(Anchor.LEFT_CENTER)\n .offsetX(5d)\n .offsetY(5d);\n\n\n cartesian.legend().enabled(true);\n cartesian.legend().fontSize(13d);\n cartesian.legend().padding(0d, 0d, 10d, 0d);\n\n chart.setChart(cartesian);\n }","private String getStatusDay(LunarDate date) {\n if (Locale.SIMPLIFIED_CHINESE.equals(Locale.getDefault())\n || Locale.TRADITIONAL_CHINESE.equals(Locale.getDefault())) {\n if (date.holidayIdx != -1) {\n return RenderHelper.getStringFromList(R.array.holiday_array,\n date.holidayIdx);\n }\n if (date.termIdx != -1) {\n return RenderHelper.getStringFromList(R.array.term_array, date.termIdx);\n }\n }\n return getDay(date);\n }","double getTickBorderDashOffset();","public void mo2201i(C0317d dVar) {\n Rect rect = new Rect();\n m1278j(dVar).mo2221a(rect);\n dVar.mo2178a((int) Math.ceil((double) mo2199h(dVar)), (int) Math.ceil((double) mo2195d(dVar)));\n dVar.setShadowPadding(rect.left, rect.top, rect.right, rect.bottom);\n }","public String[] defineDaysLine(String day) {\n int shiftPositions = -1;\n String[] definedDayLine = {Const.DAY_SUNDAY, Const.DAY_MONDAY, Const.DAY_TUESDAY, Const.DAY_WEDNESDAY,\n Const.DAY_THURSDAY, Const.DAY_FRIDAY, Const.DAY_SATURDAY};\n for (int i = 0; i < definedDayLine.length; i++) {\n if (day.equals(definedDayLine[i])) {\n shiftPositions = i;\n }\n }\n String[] tempArray = new String[definedDayLine.length];\n System.arraycopy(definedDayLine, shiftPositions, tempArray, 0, definedDayLine.length - shiftPositions);\n System.arraycopy(definedDayLine, 0, tempArray, definedDayLine.length - shiftPositions, shiftPositions);\n return tempArray;\n }","@Override\n public void cycleSlipDataSet(String nameSat, AbsoluteDate date, double value, Frequency freq) {\n super.cycleSlipDataSet(nameSat, date, value, freq);\n }","public String getSomeDayInfo(int day){\n\t\tHashMap<String,String> hashMap = getSomeDaydata(day);\n\t\tStringBuilder sb = new StringBuilder();\n\t\tsb.append(hashMap.get(\"日期\")+\" \"+hashMap.get(\"天气\")+\"\\n\");\n\t\tsb.append(\"最\"+hashMap.get(\"最高温\")+\"\\n\"+\"最\"+hashMap.get(\"最低温\"));\n\t\tsb.append(\"\\n风力:\"+hashMap.get(\"风力\"));\n\n\t\treturn sb.toString();\n\t}","public void setGraph(ActionEvent event)\n {\n theLineGraph.getData().clear();\n double temporary=0;\n theLineGraph.getXAxis().setLabel(\"Days\");\n\n XYChart.Series<String, Number> theGraph = new XYChart.Series<String, Number>();\n\n for (int i=0; i<Driver.save.getLog().size();i++)\n {\n String myI=i+\"\";\n\n if (event.getSource()==caloriesButton)\n {\n temporary=Driver.save.getDayCalories(i);\n theLineGraph.getYAxis().setLabel(\"Calories\");\n\n } else if(event.getSource()==protienButton)\n {\n temporary=Driver.save.getDayProtein(i);\n theLineGraph.getYAxis().setLabel(\"protien\");\n }\n else if (event.getSource()==carbsButton)\n {\n temporary=Driver.save.getDayCarbo(i);\n theLineGraph.getYAxis().setLabel(\"Carbs\");\n }\n else if (event.getSource()==fatsButton)\n {\n temporary=Driver.save.getDayFats(i);\n theLineGraph.getYAxis().setLabel(\"Fats\");\n }\n else if (event.getSource()==bevButton)\n {\n temporary=Driver.save.getDayBevarage(i);\n theLineGraph.getYAxis().setLabel(\"Drinks in ml\");\n }\n\n theGraph.getData().add(new XYChart.Data<String, Number>(myI ,temporary));\n }\n theLineGraph.getData().addAll(theGraph);\n\n }","private void onCreateMoneyXYPlot(DateDoubleSeries coffeeExpenditureSeries, DateDoubleSeries teaExpenditureSeries) {\n // refreshes the chart (it will be loaded with default vals at this point)\n moneyXYPlot.clear();\n moneyXYPlot.redraw();\n\n // default graph: supports y from $0.00 to $20.00 in increments of $2.50, but this can be\n // overridden by very large values, in which case it's MAX_VALUE rounded to next\n // increment of $2.50, in increments of MAX_VALUE / 8\n double maxRange = 20;\n double maxYValue = Double.max(coffeeExpenditureSeries.getMaxYValue(), teaExpenditureSeries.getMaxYValue());\n if (maxYValue > 20) {\n if (maxYValue % 5 != 0) maxRange = maxYValue + (5 - (maxYValue % 5));\n else maxRange = maxYValue;\n }\n\n // formatting: add extra vals at beg/end (7 days +1 on each end = 9) to create a margin for the bars\n moneyXYPlot.setRangeStep(StepMode.SUBDIVIDE, 8);\n moneyXYPlot.setRangeBoundaries(0, maxRange, BoundaryMode.FIXED);\n moneyXYPlot.setDomainStep(StepMode.SUBDIVIDE, 10);\n\n // format the lines (color, smoothing, removing fill)\n LineAndPointFormatter coffeeLineFormatter = new LineAndPointFormatter(Color.parseColor(\"#ac9782\"),\n null, null, null);\n coffeeLineFormatter.getLinePaint().setStrokeWidth(8);\n coffeeLineFormatter.setInterpolationParams(new CatmullRomInterpolator.Params(20,\n CatmullRomInterpolator.Type.Centripetal)); // smooths out the lines\n coffeeLineFormatter.setFillPaint(null); // to prevent lines from filling .. may break in the future?\n LineAndPointFormatter teaLineFormatter = new LineAndPointFormatter(Color.parseColor(\"#4d7d55\"),\n null, null, null);\n teaLineFormatter.getLinePaint().setStrokeWidth(8);\n teaLineFormatter.setInterpolationParams(new CatmullRomInterpolator.Params(20,\n CatmullRomInterpolator.Type.Centripetal)); // smooths out the lines\n teaLineFormatter.setFillPaint(null);\n\n moneyXYPlot.addSeries(coffeeExpenditureSeries, coffeeLineFormatter);\n moneyXYPlot.addSeries(teaExpenditureSeries, teaLineFormatter);\n\n // initialize line and point renderer (must be done after set formatter and add series to the plot)\n moneyXYPlotRenderer = moneyXYPlot.getRenderer(LineAndPointRenderer.class);\n\n // X-AXIS = date values, formatted as \"10/27\"\n moneyXYPlot.getGraph().getLineLabelStyle(XYGraphWidget.Edge.BOTTOM).setFormat(new xAxisDateFormat());\n\n // Y-AXIS = dollar values, formatted as \"$50\"\n moneyXYPlot.getGraph().getLineLabelStyle(XYGraphWidget.Edge.LEFT).setFormat(new Format() {\n @Override\n public StringBuffer format(Object obj, StringBuffer toAppendTo, FieldPosition pos) {\n // trying to format #'s like $13.50, but doesn't work for numbers ending in .0\n // double number = Double.parseDouble(String.format(\"%.2f\", ((Number) obj).doubleValue()));\n int number = ((Number) obj).intValue();\n return new StringBuffer(\"$\" + number);\n }\n\n @Override\n public Number parseObject(String string, ParsePosition position) {\n throw new UnsupportedOperationException(\"Not yet implemented.\");\n }\n });\n }","private void setDataLineChart() {\n\t\t\n\t\tchartLine.setTitle(\"Evolution du Solde\");\n\t\tchartLine.getData().clear();\n\t\t\n\t\tXYChart.Series series = new XYChart.Series();\n\t\tseries.getData().clear();\n\t\tseries.setName(\"Evolution du solde\");\n\t\t\n\t\tdouble solde = bal.getAmount();\n\t\tint currentYear = Calendar.getInstance().get(Calendar.YEAR);\n\t\tint currentMonth = Calendar.getInstance().get(Calendar.MONTH);\n\t\tint currentDay = Calendar.getInstance().get(Calendar.DAY_OF_MONTH);\n\t\t\n\t\t\n\t\t// Create a calendar object and set year and month\n\t\tCalendar mycal = new GregorianCalendar(currentYear, currentMonth,\n\t\t\t\tcurrentDay);\n\t\t\n\t\t// Get the number of days in that month\n\t\tint daysInMonth = mycal.getActualMaximum(Calendar.DAY_OF_MONTH);\n\t\t\n\t\tif (!bal.getTransactions().isEmpty()) {\n\t\t\tfor (IOTransactionLogic transaction : bal.getTransactions()\n\t\t\t\t\t.get(currentYear)[currentMonth]) {\n\t\t\t\tsolde -= transaction.getAmount();\n\t\t\t}\n\t\t}\n\t\t\n\t\tfor (int i = 0; i < currentDay; ++i) {\n\t\t\tif (!bal.getTransactions().isEmpty()) {\n\t\t\t\tfor (IOTransactionLogic transaction : bal.getTransactions()\n\t\t\t\t\t\t.get(currentYear)[currentMonth]) {\n\t\t\t\t\tjava.sql.Date dat = transaction.getDate();\n\t\t\t\t\tCalendar cal = Calendar.getInstance();\n\t\t\t\t\tcal.setTime(dat);\n\t\t\t\t\tif (cal.get(Calendar.DAY_OF_MONTH) - 1 == i) {\n\t\t\t\t\t\tsolde += transaction.getAmount();\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\tseries.getData()\n\t\t\t\t\t.add(new XYChart.Data(String.valueOf(i + 1), solde));\n\t\t}\n\t\t\n\t\tchartLine.getData().addAll(series);\n\t\tchartLine.setLegendVisible(false);\n\t}","JFreeChart generateDot();","@Override\n\tpublic boolean testExitAtDay (StockData sd, int strategyId, int lookback) {\n\n\t\tboolean toReturn = false;\n\n\t\tMacD macdData = sd.getMacd494();\n\n\t\tdouble[] macd = macdData.getMacd();\n\t\tdouble[] signal = macdData.getSignal();\n\t\tdouble[] histogram = macdData.getHistogram();\n\n\t\t\t// If this is bullish strategy, in which case we are looking for the macd to cross up and over \n\t\t\t// center line or to cross back down the signal line (as a stop loss). We use the histogram to detect such\n\t\t\t// a signal line crossover.\n\t\tif (strategyId == 0) {\n\n\t\t\tif (((macd[lookback] > 0) && (macd[lookback + 1] < 0)) ||\n\t\t\t\t((histogram[lookback] < 0) && (histogram[lookback + 1] > 0)))\n\t\t\t\t\ttoReturn = true;\n\n\t\t}\n // This bullish strategy is just a slight modification -- it also exits if the MacD turns around at all.\n else if (strategyId == 1) {\n\n \t\tif (((macd[lookback] > 0) && (macd[lookback + 1] < 0)) ||\n\t\t\t\t((histogram[lookback] < 0) && (histogram[lookback + 1] > 0)) ||\n (macd[lookback] < macd[lookback + 1]))\n\t\t\t\t\ttoReturn = true;\n\n }\n\t\t\t// If this is bearish strategy, in which case we are looking for the macd to cross down and under the\n\t\t\t// center line or to cross back up the signal line (as a stop loss). We use the histogram to detect such\n\t\t\t// a signal line crossover.\n\t\telse if (strategyId == 2) {\n\n\t\t\tif (((macd[lookback] < 0) && (macd[lookback + 1] > 0)) ||\n\t\t\t\t((histogram[lookback] > 0) && (histogram[lookback + 1] < 0)))\n\t\t\t\t\ttoReturn = true;\n\n\t\t}\n // This bullish strategy is just a slight modification -- it also exits if the MacD turns around at all.\n else if (strategyId == 3) {\n\n \tif (((macd[lookback] < 0) && (macd[lookback + 1] > 0)) ||\n\t\t\t\t((histogram[lookback] > 0) && (histogram[lookback + 1] < 0)) ||\n (macd[lookback] > macd[lookback + 1]))\n\t\t\t\t\ttoReturn = true;\n\n }\n\n\t\treturn toReturn;\n\n\t}","@Test\n public void test35() throws Throwable {\n Line2D.Double line2D_Double0 = new Line2D.Double(67.227245, 67.227245, 67.227245, 0.18);\n line2D_Double0.setLine((-1200.58567454322), (-329.479065), (-238.92597), 90.0);\n line2D_Double0.x1 = 50.0;\n double double0 = line2D_Double0.getY1();\n NumberAxis numberAxis0 = new NumberAxis(\"\");\n CombinedRangeCategoryPlot combinedRangeCategoryPlot0 = new CombinedRangeCategoryPlot((ValueAxis) numberAxis0);\n StackedAreaRenderer stackedAreaRenderer0 = new StackedAreaRenderer();\n combinedRangeCategoryPlot0.setRenderer((CategoryItemRenderer) stackedAreaRenderer0);\n AxisLocation axisLocation0 = combinedRangeCategoryPlot0.getRangeAxisLocation();\n DefaultValueDataset defaultValueDataset0 = new DefaultValueDataset(50.0);\n ThermometerPlot thermometerPlot0 = new ThermometerPlot((ValueDataset) defaultValueDataset0);\n PlotOrientation plotOrientation0 = thermometerPlot0.getOrientation();\n RectangleEdge rectangleEdge0 = Plot.resolveRangeAxisLocation(axisLocation0, plotOrientation0);\n SubCategoryAxis subCategoryAxis0 = new SubCategoryAxis(\"GT-wuOa\");\n List list0 = combinedRangeCategoryPlot0.getCategoriesForAxis(subCategoryAxis0);\n combinedRangeCategoryPlot0.setRangeAxis(0, (ValueAxis) numberAxis0, true);\n SystemColor systemColor0 = SystemColor.windowText;\n StatisticalBarRenderer statisticalBarRenderer0 = new StatisticalBarRenderer();\n BasicStroke basicStroke0 = (BasicStroke)statisticalBarRenderer0.getErrorIndicatorStroke();\n CategoryMarker categoryMarker0 = null;\n try {\n categoryMarker0 = new CategoryMarker((Comparable) 90.0, (Paint) systemColor0, (Stroke) basicStroke0, (Paint) systemColor0, (Stroke) basicStroke0, (-2471.265F));\n } catch(IllegalArgumentException e) {\n //\n // The 'alpha' value must be in the range 0.0f to 1.0f\n //\n assertThrownBy(\"org.jfree.chart.plot.Marker\", e);\n }\n }","@Array({9}) \n\t@Field(16) \n\tpublic Pointer<Byte > TradingDay() {\n\t\treturn this.io.getPointerField(this, 16);\n\t}","public Paint getSeriesPaint() {\n return this.seriesPaint;\n}","public void showMonth(String mon){\n\tboolean val = false;\n\tfor(int i =0;i<arch.length && !val;i++){\n\t\tif(arch[i]!=null){\n\t\t\tif(arch[i].getDate().getMonth().equalsIgnoreCase(mon)){\n\t\t\t\tSystem.out.println(\"Name: \"+arch[i].getName());\n\t\t\t\tSystem.out.println(\"Day: \"+arch[i].getDate().getDay());\n\t\t\t\tSystem.out.println(\"Candle color: \"+arch[i].getCandle().getColor());\n\t\t\t\tSystem.out.println(\"Candle essence: \"+arch[i].getCandle().getEssence());\n\t\t\t\tSystem.out.println(\"-----------------------------------\");\n\n\t\t\t}\n\t\t}\n\t\telse{\n\t\t\tval=true;\n\t\t}\n\t}\n}","private void setupDailyBarChart() {\r\n BarChart chart = findViewById(R.id.chart);\r\n chart.getDescription().setEnabled(false);\r\n chart.setExtraOffsets(0, 0, 0, 10);\r\n chart.setNoDataText(getResources().getString(R.string.loading_graph));\r\n chart.getPaint(Chart.PAINT_INFO).setTextSize(Utils.convertDpToPixel(16f));\r\n chart.getLegend().setEnabled(false);\r\n\r\n // Show time on x-axis at three hour intervals\r\n XAxis xAxis = chart.getXAxis();\r\n xAxis.setValueFormatter(new IAxisValueFormatter() {\r\n @Override\r\n public String getFormattedValue(float value, AxisBase axis) {\r\n int valueInt = (int) value;\r\n if(valueInt == 0) {\r\n return \"12am\";\r\n } else if(valueInt > 0 && valueInt < 12) {\r\n return valueInt + \"am\";\r\n } else if(valueInt == 12) {\r\n return \"12pm\";\r\n } else {\r\n return (valueInt - 12) + \"pm\";\r\n }\r\n }\r\n });\r\n\r\n xAxis.setPosition(XAxis.XAxisPosition.BOTTOM);\r\n xAxis.setDrawGridLines(false);\r\n xAxis.setTextSize(14f);\r\n // show label for every three hours\r\n xAxis.setGranularity(3.0f);\r\n xAxis.setLabelCount(8);\r\n xAxis.setGranularityEnabled(true);\r\n\r\n // Show non-sedentary hours on left y-axis\r\n YAxis yAxisLeft = chart.getAxisLeft();\r\n yAxisLeft.setAxisMinimum(0f);\r\n yAxisLeft.setTextSize(14f);\r\n yAxisLeft.setGranularity(1.0f); // show integer values on y axis\r\n yAxisLeft.setGranularityEnabled(true);\r\n\r\n YAxis yAxisRight = chart.getAxisRight();\r\n yAxisRight.setEnabled(false);\r\n }","public void setLineData(ArrayList<Integer> allDay) {\r\n\r\n ArrayList<String> xVals = new ArrayList<String>();\r\n for (int i = 1; i <= 24; i++) {\r\n xVals.add((i) + \"\");\r\n }\r\n\r\n ArrayList<Entry> vals1 = new ArrayList<Entry>();\r\n\r\n for (int i = 1; i <= 24; i++) {\r\n vals1.add(new Entry(allDay.get(i-1), i));\r\n }\r\n Log.v(\"vals1\",vals1.toString());\r\n \t\r\n \t\r\n// \tint count = 45;\r\n// \tint range = 100; \r\n// \tArrayList<String> xVals = new ArrayList<String>();\r\n// for (int i = 0; i < count; i++) {\r\n// xVals.add((1990 +i) + \"\");\r\n// }\r\n//\r\n// ArrayList<Entry> vals1 = new ArrayList<Entry>();\r\n//\r\n// for (int i = 0; i < count; i++) {\r\n// float mult = (range + 1);\r\n// float val = (float) (Math.random() * mult) + 20;// + (float)\r\n// // ((mult *\r\n// // 0.1) / 10);\r\n// vals1.add(new Entry(val, i));\r\n// }\r\n// \r\n \t\r\n // create a dataset and give it a type\r\n LineDataSet set1 = new LineDataSet(vals1, \"DataSet 1\");\r\n set1.setDrawCubic(true);\r\n set1.setCubicIntensity(0.2f);\r\n set1.setDrawFilled(true);\r\n set1.setDrawCircles(false); \r\n set1.setLineWidth(2f);\r\n set1.setCircleSize(5f);\r\n set1.setHighLightColor(Color.rgb(244, 117, 117));\r\n set1.setColor(Color.rgb(104, 241, 175));\r\n\r\n ArrayList<LineDataSet> dataSets = new ArrayList<LineDataSet>();\r\n dataSets.add(set1);\r\n\r\n // create a data object with the datasets\r\n LineData data = new LineData(xVals, dataSets);\r\n\r\n // set data\r\n nChart.setData(data);\r\n }","private Double[] getDayValue24(DayEM dayEm) {\n\n\t Double[] dayValues = new Double[24];\n\n\t /* OPF-610 정규화 관련 처리로 인한 주석\n\t dayValues[0] = (dayEm.getValue_00() == null ? 0 : dayEm.getValue_00());\n\t dayValues[1] = (dayEm.getValue_01() == null ? 0 : dayEm.getValue_01());\n\t dayValues[2] = (dayEm.getValue_02() == null ? 0 : dayEm.getValue_02());\n\t dayValues[3] = (dayEm.getValue_03() == null ? 0 : dayEm.getValue_03());\n\t dayValues[4] = (dayEm.getValue_04() == null ? 0 : dayEm.getValue_04());\n\t dayValues[5] = (dayEm.getValue_05() == null ? 0 : dayEm.getValue_05());\n\t dayValues[6] = (dayEm.getValue_06() == null ? 0 : dayEm.getValue_06());\n\t dayValues[7] = (dayEm.getValue_07() == null ? 0 : dayEm.getValue_07());\n\t dayValues[8] = (dayEm.getValue_08() == null ? 0 : dayEm.getValue_08());\n\t dayValues[9] = (dayEm.getValue_09() == null ? 0 : dayEm.getValue_09());\n\t dayValues[10] = (dayEm.getValue_10() == null ? 0 : dayEm.getValue_10());\n\t dayValues[11] = (dayEm.getValue_11() == null ? 0 : dayEm.getValue_11());\n\t dayValues[12] = (dayEm.getValue_12() == null ? 0 : dayEm.getValue_12());\n\t dayValues[13] = (dayEm.getValue_13() == null ? 0 : dayEm.getValue_13());\n\t dayValues[14] = (dayEm.getValue_14() == null ? 0 : dayEm.getValue_14());\n\t dayValues[15] = (dayEm.getValue_15() == null ? 0 : dayEm.getValue_15());\n\t dayValues[16] = (dayEm.getValue_16() == null ? 0 : dayEm.getValue_16());\n\t dayValues[17] = (dayEm.getValue_17() == null ? 0 : dayEm.getValue_17());\n\t dayValues[18] = (dayEm.getValue_18() == null ? 0 : dayEm.getValue_18());\n\t dayValues[19] = (dayEm.getValue_19() == null ? 0 : dayEm.getValue_19());\n\t dayValues[20] = (dayEm.getValue_20() == null ? 0 : dayEm.getValue_20());\n\t dayValues[21] = (dayEm.getValue_21() == null ? 0 : dayEm.getValue_21());\n\t dayValues[22] = (dayEm.getValue_22() == null ? 0 : dayEm.getValue_22());\n\t dayValues[23] = (dayEm.getValue_23() == null ? 0 : dayEm.getValue_23());\n\t\t\t*/\n\t \n\t return dayValues;\n\t }","void plotLineDeltaA(int[] shades1, boolean tScreened1, int[] shades2,\n boolean tScreened2, int shadeIndex, int xA, int yA, int zA,\n int dxBA, int dyBA, int dzBA, boolean clipped) {\n x1t = xA;\n x2t = xA + dxBA;\n y1t = yA;\n y2t = yA + dyBA;\n z1t = zA;\n z2t = zA + dzBA;\n if (clipped)\n switch (getTrimmedLine()) {\n case VISIBILITY_OFFSCREEN:\n return;\n case VISIBILITY_UNCLIPPED:\n clipped = false;\n }\n plotLineClippedA(shades1, tScreened1, shades2, tScreened2, shadeIndex, xA,\n yA, zA, dxBA, dyBA, dzBA, clipped, 0, 0);\n }","private void jBtnFuzzyActionPerformed(java.awt.event.ActionEvent evt) {\n int rv = 0;\n String relax = jRelaxTxt.getText();\n rv = Integer.valueOf(relax);\n String ideal = jIdealTxt.getText();\n int normal = 0;\n //System.out.println(rv);\n \n //read data using readExcel class\n readExcel exData = new readExcel();\n double[][] chartData = exData.readDataset(myFile);\n \n //Line Chart with Series --used to show simulation data\n// DefaultCategoryDataset ds = new DefaultCategoryDataset();\n// final String series1 = \"max\";\n// final String series2 = \"foodCount\";\n// final String series3 = \"min\";\n// for(int i=0;i<chartData[0].length;i++){\n// ds.addValue(chartData[0][i], series1, String.valueOf(i));\n// ds.addValue(chartData[1][i], series2, String.valueOf(i));\n// ds.addValue((chartData[0][i]-rv), series3, String.valueOf(i));\n// }\n// JFreeChart simchart = ChartFactory.createLineChart(\"Simulation Result\", \"Day\", \"Value\", ds, PlotOrientation.VERTICAL, true, true, false);\n// simchart.setBackgroundPaint(Color.white);\n// final CategoryPlot plot = (CategoryPlot) simchart.getPlot();\n// plot.setBackgroundPaint(Color.lightGray);\n// plot.setRangeGridlinePaint(Color.white);\n// ChartFrame fr = new ChartFrame(\"Simulation Result\", simchart);\n// fr.setVisible(true);\n// fr.setSize(1000, 400);\n \n //fuzzy result\n DefaultCategoryDataset dataset = new DefaultCategoryDataset();\n double fx, Dx;\n \n String choice = jCBFuzzyType.getSelectedItem().toString();\n if(choice == \"One Side\"){\n for(int i=1;i<chartData[0].length;i++){\n Dx = chartData[0][i]-chartData[1][i];\n //Dx = chartData[1][i]-chartData[0][i];\n if(Dx>rv)\n fx=0;\n else\n fx=((rv+1)-Dx)/(rv+1);\n dataset.setValue(fx, \"\", String.valueOf(i));\n }\n }\n else{\n normal = Integer.valueOf(ideal);\n for(int i=1;i<chartData[0].length;i++){\n Dx = chartData[1][i]-normal;\n //Dx = chartData[1][i]-chartData[0][i];\n if(Dx>rv || Dx< -rv)\n fx=0;\n else\n fx=((rv+1)-abs(Dx))/(rv+1);\n System.out.println(\"Hasil simulasi:\"+chartData[1][i]+\" & Dx:\"+Dx+\" & fx:\"+fx);\n dataset.setValue(fx, \"\", String.valueOf(i));\n }\n }\n \n JFreeChart chart = ChartFactory.createLineChart(\"Fuzzy Requirement Satisfaction\", \"Day\", \"Fuzzy Satisfaction\", dataset, PlotOrientation.VERTICAL, false, true, false);\n CategoryPlot p = chart.getCategoryPlot();\n p.setRangeGridlinePaint(Color.DARK_GRAY);\n ChartFrame frame = new ChartFrame(\"Fuzzy Representation\",chart);\n frame.setVisible(true);\n frame.setSize(1000,400);\n\n }","@Override\n public void show() {\n // display same beginning interface as SetTimeView\n super.show();\n \n // show title\n clock.getDigit(2).setText(0, \"Set Alarm\");\n \n for(int i = 0; i < DAYS.length; i++) {\n clock.getDigit(2).setText(i+2, DAYS[i]);\n }\n String str;\n for(int i = 0; i < DAYS.length; i++){\n str = DAYS[i];\n if(days[i]){\n str = \">\"+DAYS[i]+\"<\";\n }\n clock.getDigit(2).setText(i+2,str); \n }\n\n }","public abstract int getDeviation(\n CalendarDate calendarDay,\n TZID tzid\n );","private void plotDato() {\n List<Entry> entriesMedidas = new ArrayList<Entry>();\n entriesMedidas.add(new Entry((float) dato.getYears(), (float) dato.getMeasures()[mag]));\n LineDataSet lineaMedidas = new LineDataSet(entriesMedidas, \"Medida\");\n lineaMedidas.setAxisDependency(YAxis.AxisDependency.LEFT);\n lineaMedidas.setColor(ColorTemplate.rgb(\"0A0A0A\"));\n lineaMedidas.setCircleColor(ColorTemplate.rgb(\"0A0A0A\"));\n todasMedidas.add(lineaMedidas);\n }","@Override\n\tpublic void actionPerformed(ActionEvent e) {\n\t\tint month;\n\t\tdouble maxtempereture,monthlytempereture,mintempereture;\n\t\tResultSet rs;\n\t\tlib.MySQL mysql = new lib.MySQL();\n\t\trs = mysql.selectAll();\n\t\tDefaultCategoryDataset data = new DefaultCategoryDataset();\n\t\ttry{\n\t\t\twhile(rs.next()){\n\t\t\t\tmonth = rs.getInt(\"Month\");\n\t\t\t\tmaxtempereture = rs.getDouble(\"MaxTempereture\");\n\t\t\t\tmonthlytempereture = rs.getDouble(\"MonthkyTempereture\");\n\t\t\t\tmintempereture = rs.getDouble(\"MinTempereture\");\n System.out.println(\"月：\" + month);\n System.out.println(\"最高気温：\" + maxtempereture);\n System.out.println(\"月間平均気温：\" + monthlytempereture);\n System.out.println(\"最低気温：\" + mintempereture);\n data.addValue(maxtempereture,\"MaxTempereture\",month+\"\");\n data.addValue(monthlytempereture,\"MonthlyTempereture\",month+\"\");\n data.addValue(mintempereture,\"MinTempereture\",month+\"\");\n\t\t }\n\t\t}catch(SQLException et){}\n\t\t JFreeChart chart = \n\t\t\t ChartFactory.createLineChart(\"TOKYO TEMPERETURE\",\n\t\t\t \"month\",\n\t\t\t \"tempereture\",\n\t\t\t data,\n\t\t\t PlotOrientation.VERTICAL,\n\t\t\t true,\n\t\t\t false,\n\t\t\t false);\n \n\n ChartPanel cpanel = new ChartPanel(chart);\n panel1.add(cpanel);\n cardlayout.next(this);\n\t}","private void invokeHistoricChart(StockData sd)\r\n {\r\n\r\n debug(\"invokeHistoricChart(\" + sd.getName().toString() + \") - preparing to change\");\r\n\r\n String fileName = getString(\"WatchListTableModule.edit.historic_details_basic_name\") + sd.getSymbol().getDataSz();\r\n java.io.File theFile = new java.io.File(fileName);\r\n\r\n // First signal the chart if we are demo mode, we really do not want a problem\r\n // Then create a new instance of our chart.\r\n com.stockmarket.chart.ohlc.HighLowStockChart.DEMO_MODE = this.DEMO_MODE;\r\n com.stockmarket.chart.ohlc.HighLowStockChart chart = new com.stockmarket.chart.ohlc.HighLowStockChart();\r\n // If we have historic data send it through\r\n if (theFile.exists())\r\n {\r\n debug(\"invokeHistoricChart() - \" + fileName + \" exists preparing the Historic Chart\");\r\n chart.displayHighLowChart(fileName);\r\n }\r\n else if (this.DEMO_MODE)\r\n {\r\n // If we are demo mode display the Chart. With its default data\r\n javax.swing.JOptionPane.showMessageDialog(\r\n null,\r\n \"Application is in DEMO Mode\\n\"\r\n + \"No historic data for \"\r\n + sd.getName().toString()\r\n + \" exists, displaying default graph.\");\r\n chart.displayHighLowChart(null);\r\n }\r\n else\r\n {\r\n // If we are live mode and no historic data - tell the user to try later.\r\n // This is the case where the user reached a item to display as a chart\r\n // before the program has finished downloading.\r\n javax.swing.JOptionPane.showMessageDialog(\r\n null,\r\n \"Application has no historic data for \" + sd.getName().toString() + \"\\nTry again later!\");\r\n }\r\n\r\n debug(\"invokeHistoricChart() - Processing completed\");\r\n }","@GetMapping(\"/charts-medications/{id}\")\n @Timed\n public List<Chart> getAllChartMedicationsByDate(@PathVariable Long id) {\n log.debug(\"REST request to get all Charts By Facility and with medication by date\");\n return chartService.findAllMedicationsByDay(id);\n }","@Test\n public void test05() throws Throwable {\n CategoryPlot categoryPlot0 = new CategoryPlot();\n List list0 = categoryPlot0.getAnnotations();\n JFreeChart jFreeChart0 = new JFreeChart((Plot) categoryPlot0);\n categoryPlot0.removeChangeListener(jFreeChart0);\n LogAxis logAxis0 = new LogAxis(\"\");\n categoryPlot0.setRangeAxis(0, (ValueAxis) logAxis0, false);\n Line2D.Double line2D_Double0 = new Line2D.Double(2679.0111898666, 0.0, 0.0, 1.0);\n double double0 = line2D_Double0.getY2();\n }","public static DefaultTableModel getSensorDataTime(String day, int id, Date date) {\n ResultSet rs = null;\n DefaultTableModel DTm = null;\n try (\n PreparedStatement stmt = conn.prepareStatement(SENSOR_DATA_TIME, ResultSet.TYPE_SCROLL_INSENSITIVE, ResultSet.CONCUR_READ_ONLY);) {\n stmt.setString(1, day);\n stmt.setInt(2, id);\n stmt.setDate(3, date);\n stmt.setDate(4, date);\n\n rs = stmt.executeQuery();\n System.out.println(stmt.toString());\n DTm = buildTableModel(rs);\n\n } catch (SQLException e) {\n System.err.println(e);\n }\n return DTm;\n }","public MonthPanel(DayPanel dp) {\n \t\tsuper(JScrollPane.VERTICAL_SCROLLBAR_AS_NEEDED, JScrollPane.HORIZONTAL_SCROLLBAR_AS_NEEDED);\n \t\t\n \t\tJPanel panel = new JPanel(new GridLayout(6,7));\n \n \t\tDayDto day = dp.getDay();\n \t\tthis.d = day.getDate();\n \t\t\n \t\t//GregorianCalendar cal = new GregorianCalendar();\n \t\tCalendar cal = GregorianCalendar.getInstance();\n \t\tcal.setTime(this.d);\n \t\t\n \t\t//cal.set(Calendar.DATE, 1);\n \t\t//cal.set(Calendar.MONTH, d.getMonth() - 1);\n \t\t//cal.set(Calendar.YEAR, d.getYear());\n \t\t\n \t\tint m= cal.get(Calendar.MONTH) + 1;\n \t\t\n \t\tString month = \"December\";\n \t\tif (m == 1) month = \"January\";\n \t\telse if (m == 2) month = \"February\";\n \t\telse if (m == 3) month = \"March\";\n \t\telse if (m == 4) month = \"April\";\n \t\telse if (m == 5) month = \"May\";\n \t\telse if (m == 6) month = \"June\";\n \t\telse if (m == 7) month = \"July\";\n \t\telse if (m == 8) month = \"August\";\n \t\telse if (m == 9) month = \"September\";\n \t\telse if (m == 10) month = \"October\";\n \t\telse if (m == 11) month = \"November\";\n \t\t\n \t\tmonth = month + \" \" + cal.get(Calendar.YEAR);\n \t\t\n \t\t//prevDays is the number of boxes in the upper left, before the first of the month, needed since the \n \t\t//calendar is going to be a 6x7 set of boxes. Calendar.SUNDAY is 1 and so forth, so we use day of week - 1\n \t\tint prevDays = cal.get(Calendar.DAY_OF_WEEK) - 1; \n \t\tint endDays = 42 - cal.getActualMaximum(Calendar.DAY_OF_MONTH) - prevDays;\n \t\t\n \t\t/*System.out.println(\"Calendar.DAY_OF_WEEK: \" + Calendar.DAY_OF_WEEK);\n \t\t//System.out.println(\"Calendar.DATE\" + Calendar.DATE);\n \t\t//System.out.println(\"Calendar.MONTH\" + cal.get(Calendar.MONTH));\n \t\t//System.out.println(\"Calendar.YEAR\" + cal.get(Calendar.YEAR));\n \t\t//System.out.println(\"prevDays: \" + prevDays);\n \t\t//System.out.println(\"endDays: \" + endDays);*/\n \t\t\n\t\tcal.roll(Calendar.MONTH, false);\n \t\t\n \t\tfor (int i = 1; i <= prevDays; i++) {\n\t\t\tCalendar c = new GregorianCalendar(cal.get(Calendar.MONTH) + 1, cal.getActualMaximum(Calendar.DAY_OF_MONTH) - prevDays + i, cal.get(Calendar.YEAR));\n \t\t\tjava.sql.Date date = new Date(c.getTime().getTime());\n \t\t\tpanel.add(new DayBlock(date, Color.LIGHT_GRAY));\n \t\t}\n\t\t\n\t\tcal.roll(Calendar.MONTH, true);\n\t\t\n \t\tfor (int i = 1; i <= cal.getActualMaximum(Calendar.DAY_OF_MONTH); i++) {\n\t\t\tCalendar c = new GregorianCalendar(cal.get(Calendar.MONTH), i, cal.get(Calendar.YEAR));\n \t\t\tjava.sql.Date date = new Date(c.getTime().getTime());\n \t\t\tpanel.add(new DayBlock(date));\n \t\t}\n \t\t\n\t\tcal.roll(Calendar.MONTH, true);\n\t\t\n \t\tfor (int i = 1; i <= endDays; i++) {\n\t\t\tCalendar c = new GregorianCalendar(cal.get(Calendar.MONTH) + 1, i, cal.get(Calendar.YEAR));\n \t\t\tjava.sql.Date date = new Date(c.getTime().getTime());\n \t\t\tpanel.add(new DayBlock(date, Color.LIGHT_GRAY));\n \t\t}\n \t\t\n \t\tMonthHeadingPanel mhp = new MonthHeadingPanel(month);\n \t\tJPanel main = new JPanel(new BorderLayout());\n \t\tmain.add(mhp, BorderLayout.NORTH);\n \t\t\n \t\tmain.add(panel, BorderLayout.CENTER);\n \t\t\n \t\tsetViewportView(main);\n \t}","public void dayNightCycle(boolean debug) {\r\n float distance;\r\n int timeUnit;\r\n float max;\r\n if (debug) {\r\n timeUnit = seconds - 5;\r\n max = 60 / 2f;\r\n } else {\r\n timeUnit = hours - 2;\r\n max = 24 / 2f;\r\n }\r\n\r\n if (timeUnit <= max) {\r\n distance = timeUnit;\r\n } else {\r\n distance = max - (timeUnit - max);\r\n }\r\n\r\n dayOpacity = distance / max;\r\n }","private void createChart() {\n LineChart lineChart = (LineChart) findViewById(R.id.line_chart);\n\n // LineChart DataSet\n ArrayList<LineDataSet> dataSets = new ArrayList<>();\n\n // x-coordinate format value\n XAxis xAxis = lineChart.getXAxis();\n xAxis.setPosition(XAxis.XAxisPosition.BOTTOM);\n xAxis.setGranularity(1f); // only intervals of 1 day\n// xAxis.setValueFormatter(new DayAxisValueFormatter(lineChart));\n\n\n // x-coordinate value\n ArrayList<String> xValues = new ArrayList<>();\n xValues.add(\"No.1\");\n xValues.add(\"No.2\");\n xValues.add(\"No.3\");\n xValues.add(\"No.4\");\n xValues.add(\"No.5\");\n\n // value\n ArrayList<Entry> value = new ArrayList<>();\n String measureItemName = \"\";\n value.add(new Entry(100, 0));\n value.add(new Entry(120, 1));\n value.add(new Entry(150, 2));\n value.add(new Entry(250, 3));\n value.add(new Entry(500, 4));\n\n\n // add value to LineChart's DataSet\n LineDataSet valueDataSet = new LineDataSet(value, measureItemName);\n dataSets.add(valueDataSet);\n\n // set LineChart's DataSet to LineChart\n// lineChart.setData(new LineData(xValues, dataSets));\n lineChart.setData(new LineData(valueDataSet));\n }","@Test\n public void test76() throws Throwable {\n SimpleTimeZone simpleTimeZone0 = new SimpleTimeZone((-614), \"\", 0, 0, 0, (-1), 0, 0, 3473, (-1));\n DateAxis dateAxis0 = new DateAxis(\"\", (TimeZone) simpleTimeZone0);\n CombinedRangeCategoryPlot combinedRangeCategoryPlot0 = new CombinedRangeCategoryPlot((ValueAxis) dateAxis0);\n DatasetRenderingOrder datasetRenderingOrder0 = combinedRangeCategoryPlot0.getDatasetRenderingOrder();\n CombinedRangeXYPlot combinedRangeXYPlot0 = new CombinedRangeXYPlot((ValueAxis) dateAxis0);\n BasicStroke basicStroke0 = (BasicStroke)combinedRangeXYPlot0.getDomainZeroBaselineStroke();\n PipedInputStream pipedInputStream0 = new PipedInputStream();\n PipedOutputStream pipedOutputStream0 = new PipedOutputStream(pipedInputStream0);\n DataOutputStream dataOutputStream0 = new DataOutputStream((OutputStream) pipedOutputStream0);\n ObjectOutputStream objectOutputStream0 = new ObjectOutputStream((OutputStream) dataOutputStream0);\n SerialUtilities.writeStroke(basicStroke0, objectOutputStream0);\n SystemColor systemColor0 = SystemColor.text;\n LookupPaintScale lookupPaintScale0 = new LookupPaintScale((double) 0, 1955.7194307587054, (Paint) systemColor0);\n PaintScaleLegend paintScaleLegend0 = new PaintScaleLegend((PaintScale) lookupPaintScale0, (ValueAxis) dateAxis0);\n AxisLocation axisLocation0 = paintScaleLegend0.getAxisLocation();\n combinedRangeCategoryPlot0.setDomainAxisLocation(334, axisLocation0);\n }","public void fillCal(Model i)\n {\n for (int y = 0; y < 6; y++)\n {\n for (int j=0; j< 7; j++)\n {\n tableModel.setValueAt(null, y, j);\n }\n }\n int NumberOfDays = i.getMaxDayOfMonth();\n int DayOfWeek = i.getFdayOfWeek();\n JLabel xCord = new JLabel(String.valueOf(NumberOfDays));\n for (int x = 1; x <= NumberOfDays; x++)\n {\n int row = new Integer((x+ DayOfWeek - 2) / 7);\n int column = (x + DayOfWeek - 2) % 7;\n if(x == i.getDate() && i.getMonth() == i.realMonth())\n {\n String y = \"[\" + x + \"]\";\n tableModel.setValueAt(y, row, column);\n }\n else {\n tableModel.setValueAt(x, row, column);\n }\n }\n }","public void generateMahadashaAndAntardashaTable(Vector<MahaDashaBean> dasha, PdfContentByte canvas, String planetname, int tableX, float tableY,ColorElement mycolor) {\n\t\tFont font = new Font();\n\t\tfont.setSize(this.getTableDatafont());\n\t\tfont.setColor(mycolor.fillColor(getTableDataColor()));\n\t\t//Font font2 = new Font();\n\t\t// font2.setSize(this.getTableDatafont());\n\t\t// font2.setStyle(\"BOLD\");\n\t\tFont font3 = new Font();\n\t\tfont3.setSize(this.getSemiHeading());\n\t\tfont3.setColor(mycolor.fillColor(getTableHeadingColor()));\n\t\t// RashiHouseBean rashiBean=null;\n\t\tMahaDashaBean mahadashabean = null;\n\t\tPdfPTable mahadashaTable = null;\n\n\t\t//\tColumnText.showTextAligned(canvas, Element.ALIGN_CENTER,new Phrase(planetname,font3),tableX+10,tableY+15,0);\n\t\tmahadashaTable = new PdfPTable(3);\n\t\tmahadashaTable.setTotalWidth(140);\n\t\tString[] monthArr = new String[2];\n\t\tString month = null;\n\t\ttry {\n\t\t\tmahadashaTable.setWidths(new int[]{40, 50, 50});\n\t\t} catch (DocumentException ex) {\n\t\t\tex.printStackTrace();\n\t\t}\n\t\tmahadashaTable.getDefaultCell().setBorderWidth(0);\n\t\tmahadashaTable.addCell(new Phrase(new Chunk(\"Antar\", font3)));\n\t\tmahadashaTable.getDefaultCell().setBorderWidth(0);\n\t\tmahadashaTable.addCell(new Phrase(new Chunk(\"Beginning\", font3)));\n\t\tmahadashaTable.getDefaultCell().setBorderWidth(0);\n\t\tmahadashaTable.addCell(new Phrase(new Chunk(\"Ending\", font3)));\n\n\n\t\tif (!StringUtils.isBlank(dasha.get(0).getYear())) {\n\t\t\t// logger.info(\"**************||||||||||||||||||Antardashaaaaaaaaaaaaaaaaaaa||||||||||||||||||\" + dasha.get(0).getYear());\n\t\t\tmonthArr = dasha.get(0).getYear().split(\"_\");\n\n\t\t\tColumnText.showTextAligned(canvas, Element.ALIGN_CENTER, new Phrase(monthArr[0], font3), tableX + 20, tableY + 15, 0);\n\t\t\tColumnText.showTextAligned(canvas, Element.ALIGN_CENTER,\n\t\t\t\t\tnew Phrase(monthArr[1], font), tableX + 35, tableY + 4, 0);\n\n\t\t}\n\n\n\t\tfor (int loop = 0; loop < dasha.size(); loop++) {\n\t\t\t// rashiBean=(RashiHouseBean)dasha.get(loop);\n\t\t\tmahadashabean = (MahaDashaBean) dasha.get(loop);\n\t\t\tdrawLine1(canvas, tableX, tableY, tableX + 140, tableY);\n\t\t\tdrawLine1(canvas, tableX, (tableY - 15), tableX + 140, (tableY - 15));\n\t\t\tdrawLine1(canvas, tableX, (tableY - 125), tableX + 140, (tableY - 125));\n\n\t\t\tmahadashaTable.getDefaultCell().setBorderWidth(0);\n\t\t\tmahadashaTable.addCell(new Phrase(new Chunk(mahadashabean.getPlanetName(), font)));\n\t\t\tmahadashaTable.getDefaultCell().setBorderWidth(0);\n\t\t\tString tm=mahadashabean.getStartTime();\n\t\t\tif(tm!=null && tm!=\"\")\n\t\t\tmahadashaTable.addCell(new Phrase(new Chunk(tm.split(\" \")[0], font)));\n\t\t\telse\n\t\t\t\tmahadashaTable.addCell(new Phrase(new Chunk(\"\", font)));\n\t\t\t\n\t\t\tmahadashaTable.getDefaultCell().setBorderWidth(0);\n\t\t\ttm=mahadashabean.getEndTime();\n\t\t\t\tif(tm!=null && tm!=\"\")\n\t\t\t\tmahadashaTable.addCell(new Phrase(new Chunk(tm.split(\" \")[0], font)));\n\t\t\t\telse\n\t\t\t\tmahadashaTable.addCell(new Phrase(new Chunk(\"\", font)));\n\t\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\n\t\t}\n\t\tmahadashaTable.writeSelectedRows(0, -1, tableX, tableY, writer.getDirectContent());\n\n\n\n\t}","public void plotData(boolean appendingData, boolean mean) {\n\n // Add data to existing plaot if appending.\n if (appendingData && chartpanel != null) {\n appendData();\n } else {\n String xaxisname = \"Plane\";\n // Create an chart empty.\n if (mean) {\n xaxisname = \"Length\";\n }\n final JFreeChart chart = createChart(xaxisname);\n chart.setBackgroundPaint(Color.WHITE); //DJ: 09/22/2014\n\n // Get the data.\n if (mean) {\n data = getLineDataset();\n } else {\n data = getDataset();\n }\n\n // Apply data to the plot\n MimsXYPlot xyplot = (MimsXYPlot) chart.getPlot();\n\n xyplot.setBackgroundPaint(Color.WHITE); //DJ: 09/22/2014\n\n xyplot.setDataset(data);\n xyplot.setRois(rois);\n xyplot.setParent(this);\n\n //DJ 09/22/2014\n final int numberOfSeries = xyplot.getSeriesCount();\n //System.out.println(\"number-of-series = \" + numberOfSeries);\n\n /*\n System.out.println(\"range up limit = \" + xyplot.getRangeAxis().getRange().getUpperBound());\n System.out.println(\"range down limit = \" + xyplot.getRangeAxis().getRange().getLowerBound());\n System.out.println(\"domain up limit = \" + xyplot.getDomainAxis().getRange().getUpperBound());\n System.out.println(\"domain down limit = \" + xyplot.getDomainAxis().getRange().getLowerBound());\n */\n // Generate the layout.\n //chartpanel = new MimsChartPanel(chart);\n chartpanel = new MimsChartPanel(chart);\n chartpanel.addMouseListener(this);\n chartpanel.setPreferredSize(new java.awt.Dimension(600, 400));\n String lastFolder = ui.getLastFolder();\n if (lastFolder != null) {\n if (new File(lastFolder).exists()) {\n chartpanel.setDefaultDirectoryForSaveAs(new File(lastFolder));\n }\n }\n this.add(chartpanel);\n\n chartpanel.setNumberOfSeries(numberOfSeries);\n\n // DJ: 09/22/2014\n // Add menu item for thikining or the plot lines\n // increase lines thikness\n JMenuItem incresaseLinesThikness = new JMenuItem(\"Increase Lines Thickness\");\n incresaseLinesThikness.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n //DJ\n\n lineThikness = chartpanel.getLineThikness();\n\n if (chartpanel.setLineThikness(lineThikness + 0.5f)) {\n lineThikness = chartpanel.getLineThikness();\n //if (lineThikness + 1.0f <= maxThikness) {\n // lineThikness += 1.0f;\n\n BasicStroke stroke = new BasicStroke(lineThikness);\n Plot plot = chart.getXYPlot();\n\n if (plot instanceof CategoryPlot) {\n CategoryPlot categoryPlot = chart.getCategoryPlot();\n CategoryItemRenderer cir = categoryPlot.getRenderer();\n try {\n for (int i = 0; i < numberOfSeries; i++) {\n cir.setSeriesStroke(i, stroke); //series line style\n }\n } catch (Exception ex) {\n System.err.println(ex);\n }\n } else if (plot instanceof XYPlot) {\n\n XYPlot xyPlot = chart.getXYPlot();\n XYItemRenderer xyir = xyPlot.getRenderer();\n try {\n for (int i = 0; i < numberOfSeries; i++) {\n xyir.setSeriesStroke(i, stroke); //series line style\n }\n } catch (Exception ex) {\n System.err.println(ex);\n }\n }\n }\n }\n });\n\n // increase lines thikness\n JMenuItem decreaseLinesThikness = new JMenuItem(\"Decrease Lines Thickness\");\n decreaseLinesThikness.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n //DJ\n lineThikness = chartpanel.getLineThikness();\n\n if (chartpanel.setLineThikness(lineThikness - 0.5f)) {\n lineThikness = chartpanel.getLineThikness();\n //if (lineThikness - 1.0f >= minThikness) {\n // lineThikness -= 1.0f;\n\n BasicStroke stroke = new BasicStroke(lineThikness);\n Plot plot = chart.getXYPlot();\n\n if (plot instanceof CategoryPlot) {\n CategoryPlot categoryPlot = chart.getCategoryPlot();\n CategoryItemRenderer cir = categoryPlot.getRenderer();\n try {\n for (int i = 0; i < numberOfSeries; i++) {\n cir.setSeriesStroke(i, stroke); //series line style\n }\n } catch (Exception ex) {\n System.err.println(ex);\n }\n } else if (plot instanceof XYPlot) {\n\n XYPlot xyPlot = chart.getXYPlot();\n XYItemRenderer xyir = xyPlot.getRenderer();\n try {\n for (int i = 0; i < numberOfSeries; i++) {\n xyir.setSeriesStroke(i, stroke); //series line style\n }\n } catch (Exception ex) {\n System.err.println(ex);\n }\n }\n }\n }\n });\n\n chartpanel.getPopupMenu().addSeparator();\n chartpanel.getPopupMenu().add(incresaseLinesThikness);\n chartpanel.getPopupMenu().add(decreaseLinesThikness);\n\n JMenu changePlotColor = new JMenu(\"Change Plot Color\");\n final JMenuItem black = new JMenuItem(\"BLACK\");\n final JMenuItem blue = new JMenuItem(\"BLUE\");\n final JMenuItem grey = new JMenuItem(\"GRAY\");\n final JMenuItem green = new JMenuItem(\"GREEN\");\n final JMenuItem red = new JMenuItem(\"RED\");\n final JMenuItem yellow = new JMenuItem(\"YELLOW\");\n final JMenuItem purple = new JMenuItem(\"PURPLE\");\n final JMenuItem brown = new JMenuItem(\"BROWN\");\n final JMenuItem orange = new JMenuItem(\"ORANGE\");\n final JMenuItem darkGreen = new JMenuItem(\"DARK GREEN\");\n final JMenuItem lightBlue = new JMenuItem(\"LIGHT BLUE\");\n\n black.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n KeyEvent ev = new KeyEvent(black.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 97, 'a');\n chartpanel.keyPressed(ev);\n }\n });\n blue.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n KeyEvent ev = new KeyEvent(blue.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 98, 'b');\n chartpanel.keyPressed(ev);\n }\n });\n grey.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n KeyEvent ev = new KeyEvent(grey.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 101, 'e');\n chartpanel.keyPressed(ev);\n }\n });\n green.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n KeyEvent ev = new KeyEvent(green.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 103, 'g');\n chartpanel.keyPressed(ev);\n }\n });\n red.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n KeyEvent ev = new KeyEvent(red.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 114, 'r');\n chartpanel.keyPressed(ev);\n }\n });\n yellow.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n KeyEvent ev = new KeyEvent(yellow.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 121, 'y');\n chartpanel.keyPressed(ev);\n }\n });\n purple.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n KeyEvent ev = new KeyEvent(purple.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 112, 'p');\n chartpanel.keyPressed(ev);\n }\n });\n brown.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n KeyEvent ev = new KeyEvent(brown.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 119, 'w');\n chartpanel.keyPressed(ev);\n }\n });\n orange.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n KeyEvent ev = new KeyEvent(orange.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 111, 'o');\n chartpanel.keyPressed(ev);\n }\n });\n darkGreen.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n KeyEvent ev = new KeyEvent(darkGreen.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 100, 'd');\n chartpanel.keyPressed(ev);\n }\n });\n lightBlue.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n KeyEvent ev = new KeyEvent(lightBlue.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 108, 'l');\n chartpanel.keyPressed(ev);\n }\n });\n\n changePlotColor.add(black);\n changePlotColor.add(blue);\n changePlotColor.add(grey);\n changePlotColor.add(green);\n changePlotColor.add(red);\n changePlotColor.add(yellow);\n changePlotColor.add(purple);\n changePlotColor.add(brown);\n changePlotColor.add(orange);\n changePlotColor.add(darkGreen);\n changePlotColor.add(lightBlue);\n\n chartpanel.getPopupMenu().add(changePlotColor);\n\n // Add menu item for showing/hiding crosshairs.\n JMenuItem xhairs = new JMenuItem(\"Show/Hide Crosshairs\");\n xhairs.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n showHideCrossHairs(chartpanel);\n }\n });\n chartpanel.getPopupMenu().addSeparator();\n chartpanel.getPopupMenu().add(xhairs);\n // Add menu item for showing/hiding crosshairs.\n JMenuItem pointhairs = new JMenuItem(\"Add point roi at crosshairs\");\n pointhairs.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n if (pointX > 0 && pointY > 0) {\n ui.getRoiManager().add(new PointRoi(pointX, pointY));\n ui.updateAllImages();\n }\n }\n });\n chartpanel.getPopupMenu().add(pointhairs);\n // Add menu item for toggling between linear and log scales.\n JMenuItem logscale = new JMenuItem(\"Log/Linear scale\");\n logscale.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n MimsJFreeChart.logLinScale(chartpanel);\n }\n });\n chartpanel.getPopupMenu().add(logscale);\n\n // Add menu item for exporting plot to report.\n /*JMenuItem genreport = new JMenuItem(\"Generate Report\");\n genreport.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n generateReport();\n }\n });\n chartpanel.getPopupMenu().add(genreport);*/\n JMenuItem libreoffice = new JMenuItem(\"Add to Libreoffice\");\n libreoffice.addActionListener(new java.awt.event.ActionListener() {\n public void actionPerformed(java.awt.event.ActionEvent evt) {\n mimsUno.insertGraph(getImage(), \"test\", \"test\", \"test\");\n }\n });\n chartpanel.getPopupMenu().add(libreoffice);\n\n // Replace Save As... menu item.\n chartpanel.getPopupMenu().remove(3);\n JMenuItem saveas = new JMenuItem(\"Save as...\");\n saveas.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n saveAs();\n }\n });\n chartpanel.getPopupMenu().add(saveas, 3);\n\n // Add an option for getting the underlying data\n JMenuItem asTextMenuItem = new javax.swing.JMenuItem(\"Display text\");\n asTextMenuItem.addActionListener(new ActionListener() {\n public void actionPerformed(ActionEvent e) {\n displayProfileData();\n }\n });\n chartpanel.getPopupMenu().add(asTextMenuItem, 2);\n\n // Add key listener.\n KeyboardFocusManager.getCurrentKeyboardFocusManager().addKeyEventDispatcher(new KeyEventDispatcher() {\n public boolean dispatchKeyEvent(KeyEvent e) {\n if (e.getID() == KeyEvent.KEY_PRESSED && thisHasFocus()) {\n chartpanel.keyPressed(e);\n }\n return false;\n }\n });\n\n pack();\n setVisible(true);\n\n }\n }","private void formData(final String label, final int datasetIndex, final int year, final int month, final int day, final LinkedHashMap<Long,Double> data)\n {\n if (thread != null)\n thread.interrupt();\n chart.clearValues();\n if(day==0)\n {\n chart.getXAxis().setValueFormatter(new ValueFormatter() {\n @Override\n public String getFormattedValue(float value)\n {\n String days[] =getResources().getStringArray(R.array.days);\n int day = (int) value % days.length;\n if(day<0)\n return \"\";\n else\n return days[day];\n }\n });\n thread = new Thread(new Runnable()\n {\n\n @Override\n public void run()\n {\n Double[] daysSumArray = {0.0,0.0 ,0.0 ,0.0 ,0.0 ,0.0 ,0.0 };\n SortedSet<Long> keys = new TreeSet<>(data.keySet());\n for (Long key : keys)\n {\n Double value = data.get(key);\n Date date = new Date(key);\n int day_to_show = getDayNumber(date); //days start at 1 which is SUN\n int year_to_show = getYearNumber(date);\n int month_to_show = getMonthNumber(date)+1; //months start ta 0 which is JAN\n\n\n /* YEAR | MONTH | DAY || GRAPH FILTER\n ----------------------------------------------------\n all | all | all || days\n ----------------------------------------------------\n 2020 | all | all || days->2020\n ----------------------------------------------------\n 2020 | jan | all || days->2020->jan\n ----------------------------------------------------\n all | jan | all || days->jan*/\n if(month==0 && year==0)\n daysSumArray[day_to_show-1] += value;\n else if(month==0 && year>0)\n {\n //days->2020\n if(year_to_show==year)\n daysSumArray[day_to_show-1] += value;\n }\n else if(month>0 && year>0)\n {\n //days->2020->jan\n if(year_to_show==year && month_to_show == month)\n daysSumArray[day_to_show-1] += value;\n }\n else if(month>0 && year==0)\n {\n //days->jan\n if(month_to_show == month)\n daysSumArray[day_to_show-1] += value;\n }\n\n\n }\n for(int c=0; c<=6; c++)\n getActivity().runOnUiThread(new OneShotTask(label, datasetIndex,(long)c+1,daysSumArray[c]));\n\n }\n });\n\n thread.start();\n }\n else if( day >0 && day <8)\n {\n chart.getXAxis().setValueFormatter(new ValueFormatter() {\n @Override\n public String getFormattedValue(float value)\n {\n String hours[] =getResources().getStringArray(R.array.hours_24);\n int hour = (int) value % hours.length;\n if(hour<0)\n return \"\";\n else\n return hours[hour];\n }\n });\n thread = new Thread(new Runnable()\n {\n\n @Override\n public void run()\n {\n\n Double[] hoursSumArray = {0.0,0.0 ,0.0 ,0.0 ,0.0 ,0.0 ,0.0, 0.0, 0.0, 0.0, 0.0, 0.0,0.0,0.0 ,0.0 ,0.0 ,0.0 ,0.0 ,0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };\n SortedSet<Long> keys = new TreeSet<>(data.keySet());\n for (Long key : keys)\n {\n Double value = data.get(key);\n Date date = new Date(key);\n int day_to_show = getDayNumber(date); //days start at 1 which is SUN\n int year_to_show = getYearNumber(date);\n int month_to_show = getMonthNumber(date)+1; //months start ta 0 which is JAN\n int hour_of_day = getHourNumber(date);\n\n\n /* YEAR | MONTH | DAY || GRAPH FILTER\n ----------------------------------------------------\n 2020 | jan | mon || hours->2020->jan->mon\n ----------------------------------------------------\n all | jan | mon || hours->jan->mon\n ----------------------------------------------------\n all | all | mon || hours->mon\n ----------------------------------------------------\n 2020 | all | mon || hours->2020->mon\n ----------------------------------------------------\n */\n if(month>0 && year>0 && day_to_show == day)\n {\n if(year_to_show==year && month_to_show == month)\n hoursSumArray[hour_of_day]+=value;\n }\n else if(month>0 && year==0 && day_to_show == day)\n {\n if(month_to_show == month)\n hoursSumArray[hour_of_day]+=value;\n }\n\n else if(month==0 && year==0 && day_to_show == day)\n hoursSumArray[hour_of_day]+=value;\n else if(month==0 && year>0 && day_to_show == day)\n {\n //days->2020\n if(year_to_show==year)\n hoursSumArray[hour_of_day]+=value;\n }\n\n }\n for(int c=0; c<=23; c++)\n getActivity().runOnUiThread(new OneShotTask(label, datasetIndex,(long)c,hoursSumArray[c]));\n\n\n }\n });\n\n thread.start();\n\n\n }\n else if( day == 8 && month !=13)\n {\n chart.getXAxis().setValueFormatter(new ValueFormatter() {\n @Override\n public String getFormattedValue(float value)\n {\n String months[] =getResources().getStringArray(R.array.months);\n int month = (int) value % months.length;\n if(month<0)\n return \"\";\n else\n return months[month];\n }\n });\n thread = new Thread(new Runnable() {\n\n @Override\n public void run()\n {\n Double monthsSumArray[] = {0.0,0.0 ,0.0 ,0.0 ,0.0 ,0.0 ,0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };\n SortedSet<Long> keys = new TreeSet<>(data.keySet());\n for (Long key : keys)\n {\n Double value = data.get(key);\n Date date = new Date(key);\n int day_to_show = getDayNumber(date); //days start at 1 which is SUN\n int year_to_show = getYearNumber(date);\n int month_to_show = getMonthNumber(date)+1; //months start ta 0 which is JAN\n\n /* YEAR | MONTH | DAY || GRAPH FILTER\n ----------------------------------------------------\n all | all | hide || months\n ----------------------------------------------------\n all | jan | hide || months->jan\n ----------------------------------------------------\n 2020 | jan | hide || months->jan->2020\n ----------------------------------------------------\n */\n if(month==0 && year==0)\n monthsSumArray[month_to_show-1] += value;\n else if(month>0 && year==0 && month==month_to_show)\n monthsSumArray[month_to_show-1] += value;\n else if(month>0 && year>0 && month==month_to_show)\n monthsSumArray[month_to_show-1] += value;\n\n\n }\n for(int c=0; c<=11; c++)\n getActivity().runOnUiThread(new OneShotTask(label, datasetIndex,(long)c+1,monthsSumArray[c]));\n\n }\n });\n thread.start();\n }\n else if(day==8 && month==13)\n {\n /* YEAR | MONTH | DAY || GRAPH FILTER\n ----------------------------------------------------\n all | hide | hide || years\n ----------------------------------------------------\n */\n chart.getXAxis().setValueFormatter(new ValueFormatter() {\n @Override\n public String getFormattedValue(float value)\n {\n return String.valueOf((int)value);\n }\n });\n thread = new Thread(new Runnable() {\n\n @Override\n public void run()\n {\n //REMEBER TO UPDATE STRING ARRAY FOR YEARS IN arrays.xml\n Double yearsSumArray[] = {0.0,0.0 };\n LinkedHashMap<Integer,Double > data_years = new LinkedHashMap<>();\n SortedSet<Long> keys = new TreeSet<>(data.keySet());\n for (Long key : keys)\n {\n Double value = data_years.get(key);\n Date date = new Date(key);\n int year = getYearNumber(date);\n if(data_years.get(year) == null)\n data_years.put(year,value);\n else\n data_years.put(year,data_years.get(year)+value);\n\n }\n Iterator iterator = data_years.entrySet().iterator();\n while (iterator.hasNext())\n {\n LinkedHashMap.Entry<Integer, Double>set = (LinkedHashMap.Entry<Integer, Double>) iterator.next();\n getActivity().runOnUiThread(new OneShotTask(label, datasetIndex,(long)set.getKey(),set.getValue()));\n }\n\n }\n });\n thread.start();\n }\n\n /*else if(monthly)\n {\n\n }\n else if(yearly)\n {\n\n }*/\n }","public RenkoIndicator(TimeSeries series) {\r\n\t\tsuper(series);\r\n\t\tthis.series = series;\r\n\t}","public static void show(int[] kd){\n final int NUM_OF_LINES = 5;\n\n Line[] lines = new Line[NUM_OF_LINES];\n\n //gives each array element the necessary memory\n for(int i = 0; i < NUM_OF_LINES; i++){\n lines[i] = new Line();\n }\n\n //in order to print\n lines[0].setLine(4,0,0);\n lines[1].setLine(3,1,2);\n lines[2].setLine(2,3,5);\n lines[3].setLine(1,6,9);\n lines[4].setLine(0,10,14);\n\n for(int i = 0; i < NUM_OF_LINES; i++){\n String tab = \"\";\n\n //creates the 'tab' effect based on position\n for(int j = 0; j < lines[i].getT(); j++){\n tab += \" \";\n }\n System.out.print(tab);\n\n for(int j = lines[i].getA(); j < lines[i].getB() + 1; j++){\n if(kd[j] == 0){\n System.out.print(\". \");\n }\n else{\n System.out.print(\"x \");\n }\n }\n System.out.println();\n }\n\n }","private void setDayLabel() {\n dayFormat = new SimpleDateFormat(\"EEEE\");\n dayLabel = new JLabel();\n dayLabel.setFont(new Font(\"JetBrains Mono\", Font.BOLD, 40));\n dayLabel.setForeground(new Color(0x00FFFF));\n dayLabel.setBackground(Color.black);\n dayLabel.setOpaque(true);\n add(dayLabel);\n }","@Test\n public void test08() throws Throwable {\n CategoryPlot categoryPlot0 = new CategoryPlot();\n categoryPlot0.clearDomainMarkers(44);\n BasicStroke basicStroke0 = (BasicStroke)categoryPlot0.getRangeGridlineStroke();\n ValueAxis[] valueAxisArray0 = new ValueAxis[6];\n ThermometerPlot thermometerPlot0 = new ThermometerPlot();\n NumberAxis numberAxis0 = (NumberAxis)thermometerPlot0.getRangeAxis();\n valueAxisArray0[0] = (ValueAxis) numberAxis0;\n LogarithmicAxis logarithmicAxis0 = new LogarithmicAxis(\"Null 'marker' not permitted.\");\n valueAxisArray0[1] = (ValueAxis) logarithmicAxis0;\n LogAxis logAxis0 = new LogAxis();\n valueAxisArray0[2] = (ValueAxis) logAxis0;\n CyclicNumberAxis cyclicNumberAxis0 = new CyclicNumberAxis(0.0, \"o>v!{PNMe{\");\n valueAxisArray0[3] = (ValueAxis) cyclicNumberAxis0;\n NumberAxis3D numberAxis3D0 = new NumberAxis3D(\"Null 'marker' not permitted.\");\n valueAxisArray0[4] = (ValueAxis) numberAxis3D0;\n NumberAxis numberAxis1 = (NumberAxis)thermometerPlot0.getRangeAxis();\n valueAxisArray0[5] = (ValueAxis) numberAxis1;\n XYPlot xYPlot0 = new XYPlot();\n RectangleInsets rectangleInsets0 = xYPlot0.getAxisOffset();\n cyclicNumberAxis0.setTickLabelInsets(rectangleInsets0);\n categoryPlot0.setRangeAxes(valueAxisArray0);\n categoryPlot0.setRangeCrosshairValue(3583.22971, false);\n LegendItemCollection legendItemCollection0 = categoryPlot0.getFixedLegendItems();\n float[] floatArray0 = new float[2];\n floatArray0[0] = (float) 44;\n floatArray0[1] = (float) 44;\n Font font0 = AbstractRenderer.DEFAULT_VALUE_LABEL_FONT;\n }","private void setupDateTimeInterpreter(final boolean shortDate) {\r\n calendarView.setDateTimeInterpreter(new DateTimeInterpreter() {\r\n @Override\r\n public String interpretDate(Calendar date) {\r\n SimpleDateFormat weekdayNameFormat = new SimpleDateFormat(\"EEE\", Locale.getDefault());\r\n String weekday = weekdayNameFormat.format(date.getTime());\r\n SimpleDateFormat format = new SimpleDateFormat(\" M/d\", Locale.getDefault());\r\n\r\n // All android api level do not have a standard way of getting the first letter of\r\n // the week day name. Hence we get the first char programmatically.\r\n // Details: http://stackoverflow.com/questions/16959502/get-one-letter-abbreviation-of-week-day-of-a-date-in-java#answer-16959657\r\n if (shortDate)\r\n weekday = String.valueOf(weekday.charAt(0));\r\n return weekday.toUpperCase() + format.format(date.getTime());\r\n }\r\n\r\n @Override\r\n public String interpretTime(int hour) {\r\n return hour > 11 ? (hour - 12) + \" PM\" : (hour == 0 ? \"12 AM\" : hour + \" AM\");\r\n }\r\n });\r\n }","public ICareDailyDietChart(String mDate, String mTime, String mFoodMenu,\n\t\t\tString mEventName, String mAlarm, String mProfile) {\n\t\tthis.mDate = mDate;\n\t\tthis.mTime = mTime;\n\t\tthis.mEventName = mEventName;\n\t\tthis.mFoodMenu = mFoodMenu;\n\t\tthis.mAlarm = mAlarm;\n\t\tthis.mProfileId = mProfile;\n\t}","public final native double setDate(int dayOfMonth) /*-{\n this.setDate(dayOfMonth);\n return this.getTime();\n }-*/;","public TrendVolatilityLineIndicator(Indicator<? extends MultipleMovingAverage> mmaIndicator, int index, TADecimal entry) {\n if (mmaIndicator == null) {\n throw new IllegalArgumentException(\"Supplied input Indicator is invalid: NULL\");\n }\n if (entry == null) {\n throw new IllegalArgumentException(\"Supplied input TADecimal entry is invalid: NULL\");\n }\n this.sustainability = Sustainability.UNKNOWN;\n this.mmaIndicator = mmaIndicator;\n this.entry = entry;\n this.tvls = new ArrayList<>();\n tvls.add(entry);\n }","@RequiresApi(api = Build.VERSION_CODES.O)\n public void createNewLineChart() {\n\n ArrayList<Entry> yValues = new ArrayList<>();\n yValues.clear();\n\n //Todays Date\n Date date = new Date();\n LocalDate localDate = date.toInstant().atZone(ZoneId.systemDefault()).toLocalDate();\n// String currentMonth = getMonthForInt(localDate.getMonthValue());\n if (monthSelectedAsInt > localDate.getMonthValue()){\n yValues.add(new Entry(0, 0));\n } else if (monthSelectedAsInt == localDate.getMonthValue()){\n for (int i = 1; i <= localDate.getDayOfMonth() ; i++) {\n yValues.add(new Entry(i, occupancyRate[i]));\n }\n } else {\n for (int i = 1; i <= numberOfDays ; i++) {\n yValues.add(new Entry(i, occupancyRate[i]));\n }\n }\n\n //chart.setOnChartValueSelectedListener(this);\n\n // enable scaling and dragging\n chart.setDragEnabled(true);\n chart.setScaleEnabled(true);\n\n // if disabled, scaling can be done on x- and y-axis separately\n chart.setPinchZoom(false);\n\n LineDataSet set1;\n\n set1 = new LineDataSet(yValues, \"Occupany Rate \");\n set1.setDrawCircles(false);\n set1.setDrawValues(false);\n set1.setColor(Color.RED);\n\n ArrayList <ILineDataSet> dataSets = new ArrayList<>();\n dataSets.add(set1);\n LineData dataLine = new LineData(set1);\n chart.getDescription().setEnabled(false);\n chart.getXAxis().setTextSize(10f);\n chart.getXAxis().setPosition(XAxis.XAxisPosition.BOTTOM);\n\n chart.getAxisLeft().setAxisMinimum(0);\n chart.getAxisLeft().setAxisMaximum(100);\n chart.getAxisRight().setAxisMinimum(0);\n chart.getAxisRight().setAxisMaximum(100);\n chart.getXAxis().setAxisMinimum(1);\n chart.getXAxis().setAxisMaximum(numberOfDays);\n\n chart.setData(dataLine);\n chart.invalidate();\n }","private XYChart.Series<Number, Number> getTenSeries() {\n //Create new series\n XYChart.Series<Number, Number> series = new XYChart.Series<>();\n series.setName(\"Chemical Concentration\");\n Random rand = new Random();\n int c = 5; // Constant for x-axis scale\n for (int i = 0; i < 17; i++) {\n int y = rand.nextInt() % 3 + 2;\n series.getData().add(new XYChart.Data<>(i*5, y));\n }\n series.getData().add(new XYChart.Data<>(17 * c, 4));\n series.getData().add(new XYChart.Data<>(18 * c, 5));\n series.getData().add(new XYChart.Data<>(19 * c-2,8));\n series.getData().add(new XYChart.Data<>(19 * c, 10));\n series.getData().add(new XYChart.Data<>(19 * c+2,8));\n series.getData().add(new XYChart.Data<>(20 * c, 6));\n series.getData().add(new XYChart.Data<>(21 * c, 4));\n\n for (int i = 22; i < 30; i++) {\n int y = rand.nextInt() % 3 + 2;\n series.getData().add(new XYChart.Data<>(i*5, y));\n }\n return series;\n }","public void figure() {\r\n Currency nAdv = Currency.Zero;\r\n Currency nLow = Currency.NegativeOne;\r\n Currency nHigh = Currency.Zero;\r\n Currency nTotal = Currency.Zero;\r\n \r\n for(int i = 0; i < dayArray.size(); i++) {\r\n DayG dayG = (DayG) dayArray.get(i);\r\n Currency gross = dayG.getGross();\r\n \r\n nAdv = nAdv.add(gross);\r\n nTotal = nTotal.add(gross);\r\n if(nLow == Currency.NegativeOne || gross.lt(nLow)) {\r\n lowD = dayG;\r\n nLow = gross;\r\n }\r\n if(nHigh.lt(gross)) {\r\n highD = dayG;\r\n nHigh = gross;\r\n }\r\n }\r\n \r\n adverage = nAdv.divide(dayArray.size()).round();\r\n low = nLow.round();\r\n high = nHigh.round();\r\n \r\n //no need to round total, right?\r\n total = nTotal;\r\n }","public void addDailyReport(GregorianCalendar date, LinkedList<Reading> readings){\r\n LinkedList<Double> loRainfall = new LinkedList<>();\r\n LinkedList<Double> loTemp = new LinkedList<>();\r\n for(Reading read : readings)\r\n loRainfall.add(read.getRainfall());\r\n for(Reading read : readings)\r\n loTemp.add(read.getTemp());\r\n dailyReports.add(new DailyWeatherReport(date, loTemp, loRainfall));\r\n }","public String considerDiet() {\n if (diet.equals(\"carnivore\")) {\n printedDailyCarbon = allowedCarbonPerDay * 1;\n } else if (diet.equals(\"pescetarian\")) {\n printedDailyCarbon = allowedCarbonPerDay * 0.65;\n } else if (diet.equals(\"vegetarian\")) {\n printedDailyCarbon = allowedCarbonPerDay * 0.5;\n } else if (diet.equals(\"vegan\")) {\n printedDailyCarbon = ((double) allowedCarbonPerDay / (double) 6) * (double) 2;\n }\n String formattedDailyCarbonFigure = String.format(\"%.2f\", printedDailyCarbon);\n return formattedDailyCarbonFigure;\n }","public void setMday(int value) {\n this.mday = value;\n }","private void displayNonSedData(JSONObject[] jsonObjects) {\r\n final SharedPreferences sharedPref = getSharedPreferences(getString(R.string.pref_file_key),\r\n Context.MODE_PRIVATE);\r\n\r\n int[] stepsPerHour = new int[24];\r\n try {\r\n // Calculate steps per hour\r\n JSONArray jsonArray = jsonObjects[0].getJSONObject(\"activities-steps-intraday\")\r\n .getJSONArray(\"dataset\");\r\n\r\n int steps = 0, interval = 0, hour = 0;\r\n for(int i = 0; i < jsonArray.length(); i++) {\r\n // Step data is requested in 15 minute intervals so we add up the steps\r\n // in every four values to get the total for each hour\r\n steps += Integer.parseInt(jsonArray.getJSONObject(i).getString(\"value\"));\r\n interval++;\r\n if(interval == 4) {// we have reached the end of the hour\r\n stepsPerHour[hour] = steps;\r\n\r\n interval = 0;\r\n steps = 0;\r\n hour++;\r\n }\r\n }\r\n } catch(JSONException | NullPointerException e) {\r\n fitbitRequestError();\r\n return;\r\n }\r\n\r\n BarChart chart = findViewById(R.id.chart);\r\n\r\n ArrayList<BarEntry> entries = new ArrayList<>();\r\n int[] barColours = new int[24];\r\n\r\n // Get non-sedentary hours goal and step threshold for an hour to be non-sedentary\r\n int stepThreshold;\r\n int nonSedHoursGoal = sharedPref.getInt(getString(R.string.non_sed_goal_key), 0);\r\n if(nonSedHoursGoal == 0) {\r\n stepThreshold = 0;\r\n } else {\r\n stepThreshold = getResources().getInteger(R.integer.steps_threshold);\r\n }\r\n\r\n // For each hour in the day create a bar showing the data\r\n // If there is no data create a bar with value 0 so the hour is still shown on the graph\r\n for (int i = 0; i < 24; i++) {\r\n float yValue = (float) stepsPerHour[i];\r\n\r\n entries.add(new BarEntry((float) i, yValue));\r\n\r\n barColours[i] = getResources().getColor(getProgressColour((int) yValue, stepThreshold));\r\n }\r\n\r\n // Show data on chart\r\n BarDataSet dataSet = new BarDataSet(entries, \"\");\r\n dataSet.setColors(barColours);\r\n dataSet.setDrawValues(false);\r\n BarData barData = new BarData(dataSet);\r\n\r\n chart.setData(barData);\r\n chart.invalidate();\r\n\r\n // Show non-sedentary goal\r\n TextView textViewSummary = findViewById(R.id.tv_goal_summary);\r\n if(nonSedHoursGoal > 0) {\r\n textViewSummary.setText(getResources().getString(R.string.goal_hours_steps,\r\n nonSedHoursGoal, stepThreshold));\r\n } else {\r\n textViewSummary.setText(getResources().getString(R.string.no_goal_set));\r\n }\r\n }","@Override\n\tpublic double getCarbon() {\n\t\treturn 0;\n\t}","public void addDailyReport(GregorianCalendar date, LinkedList<Reading> readings) {\n\t\tLinkedList<Double> temps = new LinkedList<Double>();\n\t\tLinkedList<Double> rains = new LinkedList<Double>();\n\t\tfor(Reading reading: readings) {\n\t\t\ttemps.add(reading.getTemp());\n\t\t\trains.add(reading.getRainfall());\n\t\t}\n\t\treports.addReport(new DailyWeatherReport(date, temps, rains));\n\t}","public void editChart(Integer day, boolean available) {\n chart.replace(day, available);\n }","public abstract int getDy();","public void drawChart() {\n ArrayList<Entry> confuse = new ArrayList<>();\n ArrayList<Entry> attention = new ArrayList<>();\n ArrayList<Entry> engagement = new ArrayList<>();\n ArrayList<Entry> joy = new ArrayList<>();\n ArrayList<Entry> valence = new ArrayList<>();\n // point = \"Brow Furrow: \\n\";\n String dum = null, dum2 = null;\n for (int i = 0; i < size; i++) {\n //point += (\"\" + Emotion.getBrowFurrow(i).getL() + \" seconds reading of \" + Emotion.getBrowFurrow(i).getR() + \"\\n\");\n dum2 = Emotion.getBrowFurrow(i).getL().toString();\n dum = Emotion.getBrowFurrow(i).getR().toString();\n confuse.add(new Entry((float)Double.parseDouble(dum2), Float.parseFloat(dum)));\n dum2 = Emotion.getAttention(i).getL().toString();\n dum = Emotion.getAttention(i).getR().toString();\n attention.add(new Entry((float)Double.parseDouble(dum2), Float.parseFloat(dum)));\n dum2 = Emotion.getEngagement(i).getL().toString();\n dum = Emotion.getEngagement(i).getR().toString();\n engagement.add(new Entry((float)Double.parseDouble(dum2), Float.parseFloat(dum)));\n dum2 = Emotion.getJoy(i).getL().toString();\n dum = Emotion.getJoy(i).getR().toString();\n joy.add(new Entry((float)Double.parseDouble(dum2), Float.parseFloat(dum)));\n dum2 = Emotion.getValence(i).getL().toString();\n dum = Emotion.getValence(i).getR().toString();\n valence.add(new Entry((float)Double.parseDouble(dum2), Float.parseFloat(dum)));\n }\n\n LineDataSet data1 = new LineDataSet(confuse,\"Confuse\");\n LineDataSet data2 = new LineDataSet(attention,\"Attention\");\n LineDataSet data3 = new LineDataSet(engagement,\"Engagement\");\n LineDataSet data4 = new LineDataSet(joy,\"Engagement\");\n LineDataSet data5 = new LineDataSet(valence,\"Valence\");\n data1.setColor(Color.BLUE);\n data1.setDrawCircles(false);\n data2.setColor(Color.YELLOW);\n data2.setDrawCircles(false);\n data3.setColor(Color.GRAY);\n data3.setDrawCircles(false);\n data4.setColor(Color.MAGENTA);\n data4.setDrawCircles(false);\n data5.setColor(Color.GREEN);\n data5.setDrawCircles(false);\n\n\n dataSets.add(data1);\n dataSets.add(data2);\n dataSets.add(data3);\n dataSets.add(data4);\n dataSets.add(data5);\n }","public Double getDy();","public void setDay(final short day) {\r\n\t\tthis.day = day;\r\n\t}","private void printDays() {\n for (int dayOfMonth = 1; dayOfMonth <= daysInMonth; ) {\n for (int j = ((dayOfMonth == 1) ? dayOfWeek - 1 : 0); j < 7 && (dayOfMonth <= daysInMonth); j++) {\n if (this.isDateChosen == true && date.getDate() == dayOfMonth) {\n String space = date.getDate() >= 10 ? \" \" : \" \";\n System.out.print(space + ANSI_GREEN + dayOfMonth + ANSI_RESET + \" \");\n } else {\n System.out.printf(\"%4d \", dayOfMonth);\n }\n dayOfMonth++;\n }\n System.out.println();\n }\n }","public Daisy(double stemLength, Date dateOfDelivery, DaisyColor color) {\n super(\"Daisy\", stemLength, dateOfDelivery, 0);\n switch (color) {\n case BLUE: {\n setPrice(BLUE_DAISY_PRICE*((int)(stemLength/30)+1));\n break;\n }\n case WHITE: {\n setPrice(WHITE_DAISY_PRICE*((int)(stemLength/30)+1));\n break;\n }\n }\n this.color = color;\n }","public double getDPad() {\n\t\treturn this.getRawAxis(6);\n\t}","@Test\n public void test41() throws Throwable {\n Line2D.Double line2D_Double0 = new Line2D.Double(407.99, (-371.62), (-371.62), 0.0);\n line2D_Double0.x1 = 0.0;\n line2D_Double0.setLine((-371.62), 3820.38477815176, 0.0, 3820.38477815176);\n DefaultValueDataset defaultValueDataset0 = new DefaultValueDataset(0.0);\n ThermometerPlot thermometerPlot0 = new ThermometerPlot((ValueDataset) defaultValueDataset0);\n NumberAxis numberAxis0 = (NumberAxis)thermometerPlot0.getRangeAxis();\n CombinedRangeCategoryPlot combinedRangeCategoryPlot0 = new CombinedRangeCategoryPlot((ValueAxis) numberAxis0);\n combinedRangeCategoryPlot0.setRangeCrosshairValue((-371.62));\n CategoryPointerAnnotation categoryPointerAnnotation0 = new CategoryPointerAnnotation(\"K(Jj1`SZJ!y81S;n?%Y\", (Comparable) (-371.62), 1834.808976, (-371.62));\n combinedRangeCategoryPlot0.addAnnotation(categoryPointerAnnotation0);\n DatasetRenderingOrder datasetRenderingOrder0 = combinedRangeCategoryPlot0.getDatasetRenderingOrder();\n float[][] floatArray0 = new float[9][0];\n float[] floatArray1 = new float[0];\n floatArray0[0] = floatArray1;\n float[] floatArray2 = new float[6];\n floatArray2[0] = Float.NEGATIVE_INFINITY;\n floatArray2[1] = 8.0F;\n floatArray2[2] = (-970.0398F);\n floatArray2[3] = (-2174.3F);\n floatArray2[4] = 0.0F;\n floatArray2[5] = 2953.279F;\n floatArray0[1] = floatArray2;\n float[] floatArray3 = new float[9];\n floatArray3[0] = 2953.279F;\n floatArray3[1] = (-970.0398F);\n floatArray3[2] = (-2174.3F);\n floatArray3[3] = (-970.0398F);\n floatArray3[4] = (-970.0398F);\n floatArray3[5] = 0.0F;\n floatArray3[6] = (-2174.3F);\n floatArray3[7] = 0.0F;\n floatArray3[8] = Float.NEGATIVE_INFINITY;\n floatArray0[2] = floatArray3;\n float[] floatArray4 = new float[0];\n floatArray0[3] = floatArray4;\n float[] floatArray5 = new float[7];\n floatArray5[0] = 8.0F;\n floatArray5[1] = 2953.279F;\n floatArray5[2] = (-966.2956F);\n floatArray5[3] = 8.0F;\n floatArray5[4] = 8.0F;\n floatArray5[5] = (-2174.3F);\n floatArray5[6] = (-2174.3F);\n floatArray0[4] = floatArray5;\n float[] floatArray6 = new float[6];\n floatArray6[0] = 0.0F;\n floatArray6[1] = Float.NEGATIVE_INFINITY;\n floatArray6[2] = (-966.2956F);\n floatArray6[3] = (-1797.876F);\n floatArray6[4] = (-966.2956F);\n floatArray6[5] = (-2174.3F);\n floatArray0[5] = floatArray6;\n float[] floatArray7 = new float[8];\n floatArray7[0] = 0.0F;\n floatArray7[1] = (-966.2956F);\n floatArray7[2] = 0.0F;\n floatArray7[3] = Float.NEGATIVE_INFINITY;\n floatArray7[4] = (-970.0398F);\n floatArray7[5] = (-970.0398F);\n floatArray7[6] = 0.0F;\n floatArray7[7] = (-970.0398F);\n floatArray0[6] = floatArray7;\n float[] floatArray8 = new float[3];\n floatArray8[0] = Float.NEGATIVE_INFINITY;\n floatArray8[1] = Float.NEGATIVE_INFINITY;\n floatArray8[2] = (-1797.876F);\n floatArray0[7] = floatArray8;\n float[] floatArray9 = new float[8];\n floatArray9[0] = 8.0F;\n floatArray9[1] = (-2209.7039F);\n floatArray9[2] = 0.0F;\n floatArray9[3] = (-2174.3F);\n floatArray9[4] = (-2174.3F);\n floatArray9[5] = Float.NEGATIVE_INFINITY;\n floatArray9[6] = 0.0F;\n floatArray9[7] = 2953.279F;\n floatArray0[8] = floatArray9;\n FastScatterPlot fastScatterPlot0 = new FastScatterPlot(floatArray0, (ValueAxis) numberAxis0, (ValueAxis) numberAxis0);\n BasicStroke basicStroke0 = (BasicStroke)fastScatterPlot0.getDomainGridlineStroke();\n combinedRangeCategoryPlot0.setRangeCrosshairStroke(basicStroke0);\n }","@Test\n public void getSecurityPriceTechnicalsMacdTest() throws ApiException, NoSuchMethodException {\n String identifier = null;\n Integer fastPeriod = null;\n Integer slowPeriod = null;\n Integer signalPeriod = null;\n String priceKey = null;\n String startDate = null;\n String endDate = null;\n Integer pageSize = null;\n String nextPage = null;\n ApiResponseSecurityMovingAverageConvergenceDivergence response = api.getSecurityPriceTechnicalsMacd(identifier, fastPeriod, slowPeriod, signalPeriod, priceKey, startDate, endDate, pageSize, nextPage);\n\n // TODO: test validations\n }","public abstract int daysInMonth(DMYcount DMYcount);","public LineDash getLineDash(\n )\n {return lineDash;}","private void onCreateCaffeineBarChart(DateIntegerSeries coffeeCaffeineSeries, DateIntegerSeries teaCaffeineSeries) {\n // refreshes the chart (it will be loaded with default vals at this point)\n caffeineBarChart.clear();\n caffeineBarChart.redraw();\n\n // default graph: supports y from 0 to 1000 in increments of 200, but this can be\n // overridden by very large values, in which case it's MAX_VALUE rounded to next\n // increment of 200, in increments of MAX_VALUE / 5\n int maxRange = 1000;\n int combinedMaxYValue = coffeeCaffeineSeries.getMaxYValue() + teaCaffeineSeries.getMaxYValue();\n if (combinedMaxYValue > 1000) {\n if (combinedMaxYValue % 200 != 0) maxRange = combinedMaxYValue + (200 - (combinedMaxYValue % 200));\n else maxRange = combinedMaxYValue;\n }\n\n caffeineBarChart.setRangeBoundaries(0, maxRange, BoundaryMode.FIXED);\n caffeineBarChart.setRangeStep(StepMode.SUBDIVIDE, 5);\n caffeineBarChart.addMarker(new YValueMarker(400, null)); // red line for 400 mg\n caffeineBarChart.setDomainStep(StepMode.SUBDIVIDE, 10);\n\n // had to hard code the colors because they're apparently translated into ints in the backend,\n // but the ints DON'T properly translate back into the original hex string ...\n BarFormatter coffeeBarFormatter = new BarFormatter(Color.parseColor(\"#ac9782\"), Color.WHITE);\n BarFormatter teaBarFormatter = new BarFormatter(Color.parseColor(\"#4d7d55\"), Color.WHITE);\n\n caffeineBarChart.addSeries(coffeeCaffeineSeries, coffeeBarFormatter);\n caffeineBarChart.addSeries(teaCaffeineSeries, teaBarFormatter);\n\n // initialize bar caffeineBarChartRenderer (must be done after set formatter and add series to the plot)\n caffeineBarChartRenderer = caffeineBarChart.getRenderer(BarRenderer.class);\n caffeineBarChartRenderer.setBarGroupWidth(BarRenderer.BarGroupWidthMode.FIXED_WIDTH, PixelUtils.dpToPix(25));\n caffeineBarChartRenderer.setBarOrientation(BarRenderer.BarOrientation.STACKED);\n\n // X-AXIS = date values, formatted as \"10/27\"\n caffeineBarChart.getGraph().getLineLabelStyle(XYGraphWidget.Edge.BOTTOM).setFormat(new xAxisDateFormat());\n\n // Y-AXIS = caffeine values, formatted as \"800\"\n caffeineBarChart.getGraph().getLineLabelStyle(XYGraphWidget.Edge.LEFT).setFormat(new Format() {\n @Override\n public StringBuffer format(Object obj, StringBuffer toAppendTo, FieldPosition pos) {\n int intNumber = ((Number) obj).intValue();\n if (intNumber == 400) return new StringBuffer(\"[\" + intNumber + \"]\");\n else return new StringBuffer(Integer.toString(intNumber));\n }\n\n @Override\n public Number parseObject(String string, ParsePosition position) {\n throw new UnsupportedOperationException(\"Not yet implemented.\");\n }\n });\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n JDayChooser jDayChooser0 = new JDayChooser(true);\n jDayChooser0.setFocus();\n PDFDocumentGraphics2D pDFDocumentGraphics2D0 = new PDFDocumentGraphics2D();\n JDayChooser.DecoratorButton jDayChooser_DecoratorButton0 = jDayChooser0.new DecoratorButton();\n jDayChooser_DecoratorButton0.paint(pDFDocumentGraphics2D0);\n jDayChooser0.drawDays();\n XML11DTDConfiguration xML11DTDConfiguration0 = new XML11DTDConfiguration();\n Locale locale0 = xML11DTDConfiguration0.getLocale();\n jDayChooser0.setLocale(locale0);\n assertFalse(jDayChooser0.isDecorationBordersVisible());\n assertEquals(14, jDayChooser0.getDay());\n assertTrue(jDayChooser0.isDayBordersVisible());\n }","public Holiday(int day, int month) {\n\t\tdate = LocalDate.of(2019,month,day);\n\t}","private void makeChart() {\n\n Log.d(\"Chart\",\"Start Chart\");\n\n ArrayList<Entry> speedList = new ArrayList<>();\n ArrayList<Entry> avgSpeedList = new ArrayList<>();\n ArrayList<Entry> avgAltList = new ArrayList<>();\n\n int numberOfValues = trackingList.size();\n\n //Fills the data in the Arrays Entry (xValue,yValue)\n for(int i = 0; i < numberOfValues;i++){\n float avgSpeed = (float)averageSpeed;\n float avgAlt = (float)averageAlt;\n float curSpeed = (float)trackingList.get(i).getSpeed();\n\n Log.d(\"Chart\",\"CurSpeed: \" +curSpeed);\n\n avgSpeedList.add(new Entry(i*3,avgSpeed));\n speedList.add(new Entry(i*3,curSpeed));\n avgAltList.add(new Entry(i*3,avgAlt));\n }\n\n ArrayList<String> xAXES = new ArrayList<>();\n\n\n String[] xaxes = new String[xAXES.size()];\n for(int i=0; i<xAXES.size();i++){\n xaxes[i] = xAXES.get(i);\n }\n\n // More than one Array (Line in the Graph)\n ArrayList<ILineDataSet> lineDataSets = new ArrayList<>();\n\n //Speed Graph setup\n LineDataSet lineDataSet1 = new LineDataSet(speedList,\"Speed\");\n lineDataSet1.setDrawCircles(false);\n lineDataSet1.setColor(Color.BLUE);\n lineDataSet1.setLineWidth(2);\n\n //AvgSpeed setup\n LineDataSet lineDataSet2 = new LineDataSet(avgSpeedList,\"AvgSpeedLine\");\n lineDataSet2.setDrawCircles(false);\n lineDataSet2.setColor(Color.RED);\n lineDataSet2.setLineWidth(3);\n\n //AvgAlt setup\n LineDataSet lineDataSet3 = new LineDataSet(avgAltList,\"AvgAltLine\");\n lineDataSet3.setDrawCircles(false);\n lineDataSet3.setColor(Color.MAGENTA);\n lineDataSet3.setLineWidth(3);\n\n //Add them to the List\n lineDataSets.add(lineDataSet1);\n lineDataSets.add(lineDataSet2);\n lineDataSets.add(lineDataSet3);\n\n //setup for the xAxis\n XAxis xAxis = lineChart.getXAxis();\n xAxis.setPosition(XAxis.XAxisPosition.BOTTOM);\n\n //Puts the data in the Graph\n lineChart.setData(new LineData(lineDataSets));\n lineChart.setVisibleXRangeMaximum(65f);\n\n //Chart description\n lineChart.getDescription().setText(\"All Speed\");\n\n //Shows timer information when clicked\n lineChart.setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View v) {\n Toast.makeText(getApplicationContext(), \"Its measured every 3 seconds\",Toast.LENGTH_LONG).show();\n }\n });\n }","public static JFreeChart createTimeSeriesChart (String xAxisTitle,\n String yAxisTitle,\n XYDataset tsc)\n {\n JFreeChart chart = ChartFactory.createTimeSeriesChart (null,\n xAxisTitle,\n yAxisTitle,\n tsc,\n true,\n true,\n true);\n\n XYPlot xyplot = (XYPlot) chart.getPlot ();\n xyplot.setBackgroundPaint (UIUtils.getComponentColor ());\n xyplot.setDomainGridlinePaint (UIUtils.getBorderColor ());\n xyplot.setRangeGridlinePaint (UIUtils.getBorderColor ());\n /*\n xyplot.setAxisOffset (new RectangleInsets (5D,\n 5D,\n 5D,\n 5D));\n */\n xyplot.setDomainCrosshairVisible (true);\n xyplot.setRangeCrosshairVisible (true);\n xyplot.setDomainGridlinePaint (UIUtils.getColor (\"#cfcfcf\"));\n xyplot.setRangeGridlinePaint (UIUtils.getColor (\"#cfcfcf\"));\n\n final SimpleDateFormat dateFormat = new SimpleDateFormat (\"dd MMM yyyy\");\n\n ((NumberAxis) xyplot.getRangeAxis ()).setNumberFormatOverride (Environment.getNumberFormatter ());\n\n XYLineAndShapeRenderer xyitemrenderer = new XYLineAndShapeRenderer (true,\n true);\n xyitemrenderer.setUseFillPaint (true);\n\n XYToolTipGenerator ttgen = new StandardXYToolTipGenerator ()\n {\n\n public String generateToolTip (XYDataset dataset,\n int series,\n int item)\n {\n\n TimeSeriesCollection tsc = (TimeSeriesCollection) dataset;\n\n TimeSeries ts = tsc.getSeries (series);\n\n Number n = ts.getValue (item);\n Number p = Integer.valueOf (0);\n\n if (item > 0)\n {\n\n p = ts.getValue (item - 1);\n\n }\n\n String suff = \"\";\n int v = n.intValue () - p.intValue ();\n\n if (v != 0)\n {\n\n String sufftype = added;\n int val = v;\n\n if (v < 0)\n {\n\n sufftype = removed;\n val *= -1;\n\n }\n\n suff = String.format (getUIString (charts,timeseries,suffixes,sufftype),\n Environment.formatNumber (val));\n\n }\n\n return String.format (getUIString (charts,timeseries,tooltip),\n dateFormat.format (ts.getTimePeriod (item).getEnd ()),\n Environment.formatNumber (n.intValue ()),\n suff);\n\n }\n\n };\n\n xyplot.setRenderer (xyitemrenderer);\n\n List colors = new ArrayList ();\n colors.add (UIUtils.getColor (\"#f5b800\"));\n colors.add (UIUtils.getColor (\"#7547ff\"));\n colors.add (UIUtils.getColor (\"#9c4f4f\"));\n colors.add (UIUtils.getColor (\"#99cc99\"));\n colors.add (UIUtils.getColor (\"#cc6600\"));\n\n for (int i = 0; i < tsc.getSeriesCount (); i++)\n {\n\n if (i < (colors.size () - 1))\n {\n\n xyitemrenderer.setSeriesPaint (i,\n (Color) colors.get (i));\n\n }\n\n xyitemrenderer.setSeriesStroke (i,\n new java.awt.BasicStroke (2f));\n xyitemrenderer.setSeriesShapesFilled (i,\n true);\n xyitemrenderer.setSeriesToolTipGenerator (i,\n ttgen);\n xyitemrenderer.setSeriesShape (i,\n new java.awt.geom.Ellipse2D.Float (-3,\n -3,\n 6,\n 6));\n /*\n if (i > 0)\n {\n\n xyitemrenderer.setSeriesShape (i,\n xyitemrenderer.lookupSeriesShape (0));\n\n }\n */\n }\n\n PeriodAxis periodaxis = new PeriodAxis (xAxisTitle);\n\n periodaxis.setAutoRangeTimePeriodClass (Day.class);\n\n PeriodAxisLabelInfo[] aperiodaxislabelinfo = new PeriodAxisLabelInfo[3];\n aperiodaxislabelinfo[0] = new PeriodAxisLabelInfo (Day.class,\n new SimpleDateFormat (\"d\"));\n aperiodaxislabelinfo[1] = new PeriodAxisLabelInfo (Month.class,\n new SimpleDateFormat (\"MMM\"));\n aperiodaxislabelinfo[2] = new PeriodAxisLabelInfo (Year.class,\n new SimpleDateFormat (\"yyyy\"));\n periodaxis.setLabelInfo (aperiodaxislabelinfo);\n xyplot.setDomainAxis (periodaxis);\n\n return chart;\n\n }","public void plotHumidities(FlatField weather, int seriesNo) {\n seriesH[seriesNo].clear();\n try {\n FunctionType functionType = (FunctionType) weather.getType();\n int index = findRangeComponentIndex(functionType, WeatherType.REL_HUMIDITY);\n if (index == -1) {\n throw new IllegalArgumentException(\"FlatField must contain REL_HUMIDITY.\");\n }\n\n final float[][] times = weather.getDomainSet().getSamples(false);\n final float[][] values = weather.getFloats(false);\n\n for (int i = 0; i < times[0].length; i++) {\n seriesH[seriesNo].add(times[0][i], values[index][i]);\n }\n plotDayNight();\n\n } catch (VisADException ex) {\n Exceptions.printStackTrace(ex);\n }\n }","public byte getDay() {\n return day;\n }","public Double getXAxis(String datePattern) {\n String[] bits = datePattern.split(\" \");\n double axis = Double.parseDouble(bits[0]);\n return axis + (Double.parseDouble(bits[bits.length - 1]) - 1) * getMultiplier(datePattern);\n }","public KochLine getLineD(){\n\t\tKochLine lineD= new KochLine(p4,p5);\n\t\treturn lineD;\n\t\t\n\t}","@Test\n public void test77() throws Throwable {\n CombinedDomainCategoryPlot combinedDomainCategoryPlot0 = new CombinedDomainCategoryPlot((CategoryAxis) null);\n combinedDomainCategoryPlot0.setDrawSharedDomainAxis(false);\n DecimalFormat decimalFormat0 = (DecimalFormat)NumberFormat.getCurrencyInstance();\n NumberTickUnit numberTickUnit0 = new NumberTickUnit((-28.552), (NumberFormat) decimalFormat0);\n Color color0 = (Color)Axis.DEFAULT_TICK_MARK_PAINT;\n boolean boolean0 = numberTickUnit0.equals((Object) null);\n TimeTableXYDataset timeTableXYDataset0 = new TimeTableXYDataset();\n RectangleEdge rectangleEdge0 = combinedDomainCategoryPlot0.getDomainAxisEdge();\n CyclicNumberAxis cyclicNumberAxis0 = new CyclicNumberAxis(0.0, 0.0);\n XYAreaRenderer2 xYAreaRenderer2_0 = new XYAreaRenderer2();\n XYPlot xYPlot0 = new XYPlot((XYDataset) timeTableXYDataset0, (ValueAxis) cyclicNumberAxis0, (ValueAxis) cyclicNumberAxis0, (XYItemRenderer) xYAreaRenderer2_0);\n BasicStroke basicStroke0 = (BasicStroke)xYPlot0.getRangeZeroBaselineStroke();\n CategoryMarker categoryMarker0 = new CategoryMarker((Comparable) numberTickUnit0, (Paint) color0, (Stroke) basicStroke0, (Paint) color0, cyclicNumberAxis0.DEFAULT_ADVANCE_LINE_STROKE, 0.85F);\n combinedDomainCategoryPlot0.addRangeMarker((Marker) categoryMarker0);\n int int0 = combinedDomainCategoryPlot0.getRangeAxisIndex(cyclicNumberAxis0);\n Layer layer0 = Layer.BACKGROUND;\n combinedDomainCategoryPlot0.addDomainMarker(0, categoryMarker0, layer0);\n combinedDomainCategoryPlot0.setRenderer((CategoryItemRenderer) null);\n boolean boolean1 = combinedDomainCategoryPlot0.isRangeZoomable();\n Point2D.Double point2D_Double0 = new Point2D.Double((-862.0), 1.0E-6);\n point2D_Double0.y = (double) 0;\n AxisLocation axisLocation0 = combinedDomainCategoryPlot0.getDomainAxisLocation((-2040));\n combinedDomainCategoryPlot0.setDomainAxisLocation(axisLocation0);\n }","public void updatePredictions (long currTime, TimeSeries inputSeries)\n {\n\n// TODO: decide if this is necessary, it's in PPALg >>\n this.state.clearPredictionsFrom (currTime + stepSize);\n//this.state.clearPredictions();\n\n TimeSeries timeSeries = (TimeSeries) inputSeries.clone();\n\n // if timeSeries is shorter than the minimum stream do nothing.\n if (timeSeries.size() < minStreamLength)\n return;\n\n // trim the first <minPeriod> number of elements from the timeSeries.\n // this removes non-periodicity that is seen in simulators first few elements.\n\n timeSeries.trimFromStart(minPeriodLength);\n\n df.addText (\"First trim of time series : \" + timeSeries.shortToString());\n\n // find the best shift of the time series against iteself that leads to the most matching\n ArrayList shiftGraph = findBestShiftGraph (timeSeries);\n\n // trim the shifted graph to make sure we aren't starting in the middle of an event\n int amountTrimmed = trimShiftGraph (shiftGraph);\n\n df.addText (\"Trim amount : \" + amountTrimmed);\n df.addText (\"final, trimmed shift graph : \" + shiftGraph.toString());\n\n // the offset is the total amount of the time series we have discarded, it is the offset\n // to the leading edge of a periodic repeating occurence\n int offset = amountTrimmed + minPeriodLength;\n\n // create a new periodic event object\n PeriodicEvent pe = getPeriod (shiftGraph, offset);\n\n if (pe == null || pe.getEvent().isEmpty())\n {\n df.addText (\" Periodic event is null \");\n return;\n }\n\n df.addText (\" Periodic Event is : \" + pe.toString());\n\n // get the current time from which we will extrapolate\n long time = currTime;\n\n int period = pe.getPeriod();\n ArrayList event = pe.getEvent();\n\n // if we divide the timeSeries into portions the size of the time period, how much is left over?\n // for this we do not consider the trimmed amount.\n int timeSeriesSize = timeSeries.size() - amountTrimmed;\n\n if (timeSeriesSize <= period)\n return;\n int remainder = getRemainder (timeSeriesSize, period);\n df.addText (\"remainder is : \" + remainder);\n\n // cycle through the remaining portion of the last period adding any predictions based on\n // our periodic event that we have identified.\n // must subtract 1 since index is zero-base, & reaminder is one-based\n for (int i = remainder -1 ; i < event.size(); i++)\n {\n double prediction;\n\n time = time + timeSeries.getTimeIncrement();\n\n if (i >= 0 && event.get (i) != null)\n {\n prediction = ((Double) event.get(i)).doubleValue();\n\n state.addPrediction ( time, prediction);\n df.addText (\"Adding prediction : \" + prediction + \" for time : \" + time);\n }\n } // end for (i)\n\n int extrapolationCount = 2;\n\n // We make <j> additional extapolation into the future beyond the last period fragment\n while (extrapolationCount > 0)\n {\n for (int j = 0; j < event.size(); j++)\n {\n double prediction;\n\n time = time + timeSeries.getTimeIncrement();\n\n if (event.get (j) != null)\n {\n prediction = ((Double) event.get(j)).doubleValue();\n\n state.addPrediction ( time, prediction);\n df.addText (\"Adding prediction : \" + prediction + \" for time : \" + time);\n }\n } // end for (j)\n\n extrapolationCount--;\n } // end while (extapoliationCount)\n\n\n state.updateError (timeSeries, currTime);\n }","public byte getDay() {\n return day;\n }","public byte getDay() {\n return day;\n }","public byte getDay() {\n return day;\n }","public ArrayList<Forecast> getForecastsForDay( int day ) {\n if (forecasts.size() == 0) {\n return null;\n }\n\n int startIndex = 0;\n int endIndex = 0;\n\n if (day < 8) {\n startIndex = dayIndices[day];\n }\n\n if (startIndex == -1) {\n return null;\n }\n\n if (day < 7) {\n endIndex = dayIndices[day+1];\n if (endIndex < 0) {\n endIndex = forecasts.size();\n }\n } else {\n endIndex = forecasts.size();\n }\n\n return new ArrayList<>(forecasts.subList(startIndex, endIndex));\n }","public Integer getSeriesCd() {\n\t\treturn seriesCd;\n\t}","public Double getCarbon() {\n return product.getCarbon() * weight / 100;\n }","public double MACD(int t)\n {\n return MACD(26, 12, t);\n }","public MotionChartPanel () {\n super( null );\n\n // Data set.\n setLayout( new BorderLayout() );\n\n// setMaximumDrawWidth( Toolkit.getDefaultToolkit().getScreenSize().width );\n// setMaximumDrawHeight( Toolkit.getDefaultToolkit().getScreenSize().height );\n\n final DynamicTimeSeriesCollection dataset1 = new DynamicTimeSeriesCollection( 1, COUNT, new Second() );\n dataset1.setTimeBase( new Second( 0, 0, 0, 1, 1, 2011 ) );\n dataset1.addSeries( initialPositionData(), 0, POSITION_SERIES_TEXT );\n\n final DynamicTimeSeriesCollection dataset2 = new DynamicTimeSeriesCollection( 1, COUNT, new Second() );\n dataset2.setTimeBase( new Second( 0, 0, 0, 1, 1, 2011 ) );\n dataset2.addSeries( initialSpeedData(), 0, SPEED_SERIES_TEXT );\n\n // Create the chart.\n JFreeChart chart = createChart( dataset1, dataset2 );\n setChart( chart );\n setRangeBound( 200000, 2500 );\n setMouseZoomable( false );\n\n // Timer (Refersh the chart).\n timer = new Timer( 10, new ActionListener() {\n\n /**\n * The speed previous plotted.\n */\n private float prevSpeed;\n\n /**\n * The position previous plotted.\n */\n private float prevPosition;\n @Override\n public void actionPerformed ( ActionEvent e ) {\n if ( speedQueue.isEmpty() == false && positionQueue.isEmpty() == false ) {\n long time = System.currentTimeMillis();\n prevSpeed = speedQueue.poll();\n prevPosition = positionQueue.poll();\n dataset1.advanceTime();\n dataset2.advanceTime();\n dataset1.appendData( new float[]{ prevPosition } );\n dataset2.appendData( new float[]{ prevSpeed } );\n }\n\n// else {\n // Maintain previous record once no new record/enough record could show.\n// dataset1.appendData( new float[]{ prevPosition } );\n// dataset2.appendData( new float[]{ prevSpeed } );\n// }\n }\n } );\n }","public byte getDay() {\r\n return day;\r\n }","public static void m10220a() {\n zzawb.m10214a(\"TinkMac\", new ii());\n zzavo.m10184a(f9059b);\n }","public float getDayOpacity() {\r\n //Gdx.app.debug(\"Clock\", \"h: \" + (24f * (seconds / 60f)));\r\n if (dayOpacity < 0.25) {\r\n return 0;\r\n } else if (dayOpacity < 0.5) {\r\n return (dayOpacity - 0.25f) / 0.25f;\r\n } else {\r\n return 1;\r\n }\r\n }","private void drawVertical(GC gc, Rectangle drawingArea, TimeBarViewerDelegate delegate, boolean top,\n boolean printing) {\n int oy = drawingArea.y;\n\n int basex;\n int minorOff;\n int majorOff;\n int majorLabelOff;\n int dayOff;\n\n if (!top) {\n basex = drawingArea.x;\n minorOff = scaleX(MINORLENGTH);\n majorOff = scaleX(MAJORLENGTH);\n majorLabelOff = scaleX(22);\n dayOff = scaleX(34);\n } else {\n basex = drawingArea.x + drawingArea.width - 1;\n minorOff = scaleX(-MINORLENGTH);\n majorOff = scaleX(-MAJORLENGTH);\n majorLabelOff = scaleX(-10);\n dayOff = scaleX(-22);\n }\n int ox = basex;\n\n int height = drawingArea.height;\n JaretDate date = delegate.getStartDate().copy();\n\n int idx = TickScaler.getTickIdx(delegate.getPixelPerSecond() / getScaleY());\n\n int majTick = TickScaler.getMajorTickMinutes(idx);\n int minTick = TickScaler.getMinorTickMinutes(idx);\n TickScaler.Range range = TickScaler.getRange(idx);\n _lastRange = range;\n\n // clean starting date on a major tick minute position (starting with a\n // day)\n date.setMinutes(0);\n date.setHours(0);\n date.setSeconds(0);\n\n // if range is week take a week starting point\n if (range == Range.WEEK) {\n while (date.getDayOfWeek() != DateUtils.getFirstDayOfWeek()) {\n date.backDays(1.0);\n }\n } else if (range == Range.MONTH) {\n // month -> month starting point\n date.setDay(1);\n }\n JaretDate save = date.copy();\n\n if (printing) {\n gc.setLineWidth(1);\n }\n // draw top/bottom line\n gc.drawLine(ox, oy, ox, oy + height);\n\n // draw the minor ticks\n while (delegate.xForDate(date) < oy + height) {\n int y = delegate.xForDate(date);\n gc.drawLine(ox, y, ox + minorOff, y);\n if (range == Range.MONTH) {\n int adv = Math.round(minTick / APPROXSECONDSINMONTH);\n if (adv == 0) {\n adv = 1;\n }\n date.advanceMonths(adv);\n } else {\n date.advanceMinutes(minTick);\n }\n }\n\n date = save.copy();\n // draw the major ticks\n while (delegate.xForDate(date) < oy + height) {\n int y = delegate.xForDate(date);\n gc.drawLine(ox, y, ox + majorOff, y);\n if (range == Range.MONTH) {\n int adv = Math.round(majTick / APPROXSECONDSINMONTH);\n if (adv == 0) {\n adv = 1;\n }\n date.advanceMonths(adv);\n } else {\n date.advanceMinutes(majTick);\n }\n }\n\n gc.setLineWidth(1);\n\n // labels: draw every two major ticks\n date = save.copy();\n // Labels are drawn beyond the width. Otherwise when the beginning of\n // the labels\n // would not be drawn when the tick itself is out of sight\n while (delegate.xForDate(date) < drawingArea.y + drawingArea.height + 50) {\n int y = delegate.xForDate(date);\n if (date.getMinutes() % (majTick * 2) == 0) {\n // Second line\n String str = null;\n if (range == Range.HOUR) {\n // time\n str = date.toDisplayStringTime();\n } else if (range == Range.DAY) {\n // day\n str = date.getShortDayOfWeekString();\n } else if (range == Range.WEEK) {\n // week\n str = \"KW\" + date.getWeekOfYear();\n } else if (range == Range.MONTH) {\n // month\n str = Integer.toString(date.getYear());\n }\n // draw\n if (top) {\n SwtGraphicsHelper.drawStringRightAlignedVCenter(gc, str, drawingArea.x + drawingArea.width\n + majorOff, y);\n } else {\n SwtGraphicsHelper.drawStringLeftAlignedVCenter(gc, str, drawingArea.x + majorOff, y);\n }\n // // first line\n // if (range == Range.HOUR) {\n // if (date.getDay() != lastDay) {\n // str = date.getDay() + \". (\" + date.getDayOfWeekString() + \")\";\n // } else {\n // str = \"\";\n // }\n // lastDay = date.getDay();\n // } else if (range == Range.DAY || range == Range.WEEK) {\n // str = date.getDay() + \".\" + (third ? date.getShortMonthString() : \"\");\n // } else if (range == Range.MONTH) {\n // str = date.getMonthString();\n // }\n // second = !second;\n // third = count++ % 3 == 0;\n // SwtGraphicsHelper.drawStringCentered(gc, str, x, oy + dayOff);\n }\n if (range == Range.MONTH) {\n int adv = Math.round(majTick / APPROXSECONDSINMONTH);\n if (adv == 0) {\n adv = 1;\n }\n date.advanceMonths(adv);\n } else {\n date.advanceMinutes(majTick);\n }\n }\n }","public Double getDailySaleWithoutVat(int month, int day, int year, int storeCode) {\n\t\tDouble amount = getRawGross(month, day, year, storeCode)/getVatRate();\r\n\t\tlogger.debug(\"Raw Gross: \"+amount);\r\n\t\treturn amount;\r\n//\t\treturn dailySale+totDisc+vat;\r\n\t}","public String windTrendIcon() {\n String trendIcon = \" \";\n if (readings.size() >= 3) {\n float t1 = readings.get(readings.size() - 3).windSpeed;\n float t2 = readings.get(readings.size() - 2).windSpeed;\n float t3 = readings.get(readings.size() - 1).windSpeed;\n if (t3 > t2 && t2 > t1) {\n trendIcon += \" huge long arrow alternate up icon \";\n } else if (t3 < t2 && t2 < t1) {\n trendIcon += \" huge long arrow alternate down icon \";\n } else {\n trendIcon += \" huge arrows alternate horizontal icon\";\n }\n }\n return trendIcon;\n }","@Test\n public void test61() throws Throwable {\n CategoryPlot categoryPlot0 = new CategoryPlot();\n categoryPlot0.setRangeGridlinesVisible(true);\n categoryPlot0.clearDomainAxes();\n JDBCXYDataset jDBCXYDataset0 = new JDBCXYDataset((Connection) null);\n MeterPlot meterPlot0 = new MeterPlot();\n JFreeChart jFreeChart0 = new JFreeChart((Plot) meterPlot0);\n ChartPanel chartPanel0 = new ChartPanel(jFreeChart0, true);\n String[] stringArray0 = new String[6];\n stringArray0[0] = \"[*tQy\\\"Ir)|..\";\n stringArray0[1] = \".\";\n stringArray0[2] = \"org.jfree.chart.annotations.TextAnnotation\";\n stringArray0[3] = \"Category_Plot\";\n stringArray0[4] = \"mt1@^eqB0HF9rLg\";\n stringArray0[5] = \"B9t}^@/]9\";\n JFreeChart.main(stringArray0);\n boolean boolean0 = jDBCXYDataset0.hasListener(chartPanel0);\n jDBCXYDataset0.setTimeSeries(false);\n DatasetChangeEvent datasetChangeEvent0 = new DatasetChangeEvent((Object) categoryPlot0, (Dataset) jDBCXYDataset0);\n categoryPlot0.datasetChanged(datasetChangeEvent0);\n AxisLocation axisLocation0 = categoryPlot0.getDomainAxisLocation(0);\n Rectangle2D.Double rectangle2D_Double0 = new Rectangle2D.Double((double) 0, (double) 0, (-2820.4), (-2820.4));\n int int0 = rectangle2D_Double0.outcode((double) 0, (-2820.4));\n CategoryAxis categoryAxis0 = new CategoryAxis();\n categoryPlot0.setDomainAxis(15, categoryAxis0);\n }","private void setupDateTimeInterpreter(final boolean shortDate) {\n mWeekView.setDateTimeInterpreter(new DateTimeInterpreter() {\n @Override\n public String interpretDate(Calendar date) {\n SimpleDateFormat weekdayNameFormat = new SimpleDateFormat(\"EEE\", Locale.getDefault());\n String weekday = weekdayNameFormat.format(date.getTime());\n SimpleDateFormat format = new SimpleDateFormat(\" M/d\", Locale.getDefault());\n\n // All android api level do not have a standard way of getting the first letter of\n // the week day name. Hence we get the first char programmatically.\n // Details: http://stackoverflow.com/questions/16959502/get-one-letter-abbreviation-of-week-day-of-a-date-in-java#answer-16959657\n if (shortDate)\n weekday = String.valueOf(weekday.charAt(0));\n return weekday.toUpperCase() + format.format(date.getTime());\n }\n\n @Override\n public String interpretTime(int hour, int minutes) {\n String strMinutes = String.format(\"%02d\", minutes);\n if (hour > 11) {\n if (hour == 12) {\n return \"12:\" + strMinutes + \" PM\";\n } else {\n return (hour - 12) + \":\" + strMinutes + \" PM\";\n }\n } else {\n if (hour == 0) {\n return \"12:\" + strMinutes + \" AM\";\n } else {\n return hour + \":\" + strMinutes + \" AM\";\n }\n }\n }\n });\n }","public void setDay(int day) {\r\n this.day = day;\r\n }","private Day getDay(int day, int month) {\n return mainForm.getDay(day, month);\n }"],"string":"[\n \"@Override \\r\\n protected void calculate(int index, DataContext ctx)\\r\\n {\\r\\n DataSeries series = ctx.getDataSeries();\\r\\n boolean complete=true;\\r\\n \\r\\n /*\\r\\n int macdPeriod1 = getSettings().getInteger(MACD_PERIOD1, 12);\\r\\n int macdPeriod2 = getSettings().getInteger(MACD_PERIOD2, 26);\\r\\n Enums.MAMethod macdMethod = getSettings().getMAMethod(MACD_METHOD, Enums.MAMethod.EMA);\\r\\n Object macdInput = getSettings().getInput(MACD_INPUT, Enums.BarInput.CLOSE);\\r\\n if (index >= Util.max(macdPeriod1, macdPeriod2)) {\\r\\n Double MA1 = null, MA2 = null;\\r\\n MA1 = series.ma(macdMethod, index, macdPeriod1, macdInput);\\r\\n MA2 = series.ma(macdMethod, index, macdPeriod2, macdInput);\\r\\n \\r\\n double MACD = MA1 - MA2; \\r\\n series.setDouble(index, Values.MACD, MACD);\\r\\n\\r\\n int signalPeriod = getSettings().getInteger(Inputs.SIGNAL_PERIOD, 9);\\r\\n\\r\\n // Calculate moving average of MACD (signal line)\\r\\n Double signal = series.ma(getSettings().getMAMethod(Inputs.SIGNAL_METHOD, Enums.MAMethod.SMA), index, signalPeriod, Values.MACD);\\r\\n series.setDouble(index, Values.SIGNAL, signal);\\r\\n \\r\\n if (signal != null) series.setDouble(index, Values.HIST, MACD - signal);\\r\\n\\r\\n if (series.isBarComplete(index)) {\\r\\n // Check for signal events\\r\\n Coordinate c = new Coordinate(series.getStartTime(index), signal);\\r\\n if (crossedAbove(series, index, Values.MACD, Values.SIGNAL)) {\\r\\n MarkerInfo marker = getSettings().getMarker(Inputs.UP_MARKER);\\r\\n String msg = get(\\\"SIGNAL_MACD_CROSS_ABOVE\\\", MACD, signal);\\r\\n if (marker.isEnabled()) addFigure(new Marker(c, Enums.Position.BOTTOM, marker, msg));\\r\\n ctx.signal(index, Signals.CROSS_ABOVE, msg, signal);\\r\\n }\\r\\n else if (crossedBelow(series, index, Values.MACD, Values.SIGNAL)) {\\r\\n MarkerInfo marker = getSettings().getMarker(Inputs.DOWN_MARKER);\\r\\n String msg = get(\\\"SIGNAL_MACD_CROSS_BELOW\\\", MACD, signal);\\r\\n if (marker.isEnabled()) addFigure(new Marker(c, Enums.Position.TOP, marker, msg));\\r\\n ctx.signal(index, Signals.CROSS_BELOW, msg, signal);\\r\\n }\\r\\n }\\r\\n }\\r\\n else complete=false;\\r\\n \\r\\n int rsiPeriod = getSettings().getInteger(RSI_PERIOD);\\r\\n Object rsiInput = getSettings().getInput(RSI_INPUT);\\r\\n if (index < 1) return; // not enough data\\r\\n \\r\\n double diff = series.getDouble(index, rsiInput) - series.getDouble(index-1, rsiInput);\\r\\n double up = 0, down = 0;\\r\\n if (diff > 0) up = diff;\\r\\n else down = diff;\\r\\n \\r\\n series.setDouble(index, Values.UP, up);\\r\\n series.setDouble(index, Values.DOWN, Math.abs(down));\\r\\n \\r\\n if (index <= rsiPeriod +1) return;\\r\\n \\r\\n Enums.MAMethod method = getSettings().getMAMethod(RSI_METHOD);\\r\\n double avgUp = series.ma(method, index, rsiPeriod, Values.UP);\\r\\n double avgDown = series.ma(method, index, rsiPeriod, Values.DOWN);\\r\\n double RS = avgUp / avgDown;\\r\\n double RSI = 100.0 - ( 100.0 / (1.0 + RS));\\r\\n\\r\\n series.setDouble(index, Values.RSI, RSI);\\r\\n \\r\\n // Do we need to generate a signal?\\r\\n GuideInfo topGuide = getSettings().getGuide(Inputs.TOP_GUIDE);\\r\\n GuideInfo bottomGuide = getSettings().getGuide(Inputs.BOTTOM_GUIDE);\\r\\n if (crossedAbove(series, index, Values.RSI, topGuide.getValue())) {\\r\\n series.setBoolean(index, Signals.RSI_TOP, true);\\r\\n ctx.signal(index, Signals.RSI_TOP, get(\\\"SIGNAL_RSI_TOP\\\", topGuide.getValue(), round(RSI)), round(RSI));\\r\\n }\\r\\n else if (crossedBelow(series, index, Values.RSI, bottomGuide.getValue())) {\\r\\n series.setBoolean(index, Signals.RSI_BOTTOM, true);\\r\\n ctx.signal(index, Signals.RSI_BOTTOM, get(\\\"SIGNAL_RSI_BOTTOM\\\", bottomGuide.getValue(), round(RSI)), round(RSI));\\r\\n }\\r\\n */\\r\\n series.setComplete(index, complete);\\r\\n }\",\n \"public double MACDSignal(int t)\\n {\\n Series macd = new Series();\\n macd.x = new double[macd.size = t + 1];\\n for(int i = 0; i<=t; i++)\\n macd.x[i] = MACD(i);\\n return macd.expMovingAverage(9, t);\\n }\",\n \"public void visitToneIndicator( DevCat devCat ) {}\",\n \"@Override\\n BackgroundLineChart generateLineChart() {\\n\\n final BackgroundLineChart lineChart;\\n final NumberAxis xAxis = new NumberAxis();\\n xAxis.setLabel(\\\"Time\\\");\\n\\n List<XYChart.Series<Number, Number>> seriesList = FXCollections.observableArrayList();\\n\\n for (DataPoint.Type type : DataPoint.Types.values()) {\\n XYChart.Series<Number, Number> series = new XYChart.Series<>();\\n series.setName(type.getName());\\n seriesList.add(series);\\n this.getSeriesMap().put(type, series);\\n }\\n\\n lineChart = new BackgroundLineChart(this.captureSession, xAxis, new NumberAxis(), FXCollections.observableArrayList(seriesList));\\n\\n //@Source - https://stackoverflow.com/a/44957354 - Enables Toggle of Data Series by clicking on their icon in the legend\\n for (Node n : lineChart.getChildrenUnmodifiable()) {\\n if (n instanceof Legend) {\\n Legend l = (Legend) n;\\n for (Legend.LegendItem li : l.getItems()) {\\n for (XYChart.Series<Number, Number> s : lineChart.getData()) {\\n if (s.getName().equals(li.getText())) {\\n li.getSymbol().setCursor(Cursor.HAND); // Hint user that legend symbol is clickable\\n li.setText(li.getText() + \\\" On\\\");\\n li.getSymbol().setOnMouseClicked(me -> {\\n if (me.getButton() == MouseButton.PRIMARY) {\\n s.getNode().setVisible(!s.getNode().isVisible()); // Toggle visibility of line\\n\\n String[] displayName = li.getText().split(\\\" \\\");\\n li.setText(String.format(\\\"%s %s\\\", String.join(\\\" \\\", Arrays.copyOfRange(displayName, 0, displayName.length - 1)), (s.getNode().isVisible() ? \\\"On\\\" : \\\"Off\\\")));\\n for (XYChart.Data<Number, Number> d : s.getData()) {\\n if (d.getNode() != null) {\\n d.getNode().setVisible(s.getNode().isVisible()); // Toggle visibility of every node in the series\\n }\\n }\\n lineChart.redraw();\\n }\\n });\\n break;\\n }\\n }\\n }\\n }\\n }\\n //---\\n\\n return lineChart;\\n }\",\n \"public abstract double getCarbon();\",\n \"private void initChart() {\\n Cartesian cartesian = AnyChart.line();\\n\\n cartesian.animation(true);\\n\\n cartesian.padding(10d, 20d, 5d, 20d);\\n\\n cartesian.crosshair().enabled(true);\\n cartesian.crosshair()\\n .yLabel(true)\\n // TODO ystroke\\n .yStroke((Stroke) null, null, null, (String) null, (String) null);\\n\\n cartesian.tooltip().positionMode(TooltipPositionMode.POINT);\\n\\n cartesian.title(\\\"Steps taken in this week and last week\\\");\\n\\n cartesian.yAxis(0).title(\\\"Steps\\\");\\n cartesian.xAxis(0).labels().padding(5d, 5d, 5d, 5d);\\n\\n List<DataEntry> seriesData = new ArrayList<>();\\n Log.d(\\\"Size This Week\\\",stepsTakenModelsThisWeek.size()+\\\"\\\");\\n for(int i = 0 ; i<7 ; i++){\\n CustomDataEntry c = new CustomDataEntry(days[i],stepsTakenModelsLastWeek.get(i).getSteps());\\n if(i<stepsTakenModelsThisWeek.size()){\\n c.setValue(\\\"value2\\\",stepsTakenModelsThisWeek.get(i).getSteps());\\n }else{\\n if(DateUtilities.getDayInAbbBySelectedDate(stepsTakenModelsLastWeek.get(i).getDate()).equals(\\n DateUtilities.getCurrentDayInAbb()))\\n {\\n c.setValue(\\\"value2\\\",stepsToday);\\n }else{\\n c.setValue(\\\"value2\\\",0);\\n }\\n }\\n seriesData.add(c);\\n }\\n\\n Set set = Set.instantiate();\\n set.data(seriesData);\\n Mapping series1Mapping = set.mapAs(\\\"{ x: 'x', value: 'value' }\\\");\\n Mapping series2Mapping = set.mapAs(\\\"{ x: 'x', value: 'value2' }\\\");\\n\\n Line series1 = cartesian.line(series1Mapping);\\n series1.name(\\\"Last Week\\\");\\n series1.hovered().markers().enabled(true);\\n series1.hovered().markers()\\n .type(MarkerType.CIRCLE)\\n .size(4d);\\n series1.tooltip()\\n .position(\\\"right\\\")\\n .anchor(Anchor.LEFT_CENTER)\\n .offsetX(5d)\\n .offsetY(5d);\\n\\n Line series2 = cartesian.line(series2Mapping);\\n series2.name(\\\"This Week\\\");\\n series2.hovered().markers().enabled(true);\\n series2.hovered().markers()\\n .type(MarkerType.CIRCLE)\\n .size(4d);\\n series2.tooltip()\\n .position(\\\"right\\\")\\n .anchor(Anchor.LEFT_CENTER)\\n .offsetX(5d)\\n .offsetY(5d);\\n\\n\\n cartesian.legend().enabled(true);\\n cartesian.legend().fontSize(13d);\\n cartesian.legend().padding(0d, 0d, 10d, 0d);\\n\\n chart.setChart(cartesian);\\n }\",\n \"private String getStatusDay(LunarDate date) {\\n if (Locale.SIMPLIFIED_CHINESE.equals(Locale.getDefault())\\n || Locale.TRADITIONAL_CHINESE.equals(Locale.getDefault())) {\\n if (date.holidayIdx != -1) {\\n return RenderHelper.getStringFromList(R.array.holiday_array,\\n date.holidayIdx);\\n }\\n if (date.termIdx != -1) {\\n return RenderHelper.getStringFromList(R.array.term_array, date.termIdx);\\n }\\n }\\n return getDay(date);\\n }\",\n \"double getTickBorderDashOffset();\",\n \"public void mo2201i(C0317d dVar) {\\n Rect rect = new Rect();\\n m1278j(dVar).mo2221a(rect);\\n dVar.mo2178a((int) Math.ceil((double) mo2199h(dVar)), (int) Math.ceil((double) mo2195d(dVar)));\\n dVar.setShadowPadding(rect.left, rect.top, rect.right, rect.bottom);\\n }\",\n \"public String[] defineDaysLine(String day) {\\n int shiftPositions = -1;\\n String[] definedDayLine = {Const.DAY_SUNDAY, Const.DAY_MONDAY, Const.DAY_TUESDAY, Const.DAY_WEDNESDAY,\\n Const.DAY_THURSDAY, Const.DAY_FRIDAY, Const.DAY_SATURDAY};\\n for (int i = 0; i < definedDayLine.length; i++) {\\n if (day.equals(definedDayLine[i])) {\\n shiftPositions = i;\\n }\\n }\\n String[] tempArray = new String[definedDayLine.length];\\n System.arraycopy(definedDayLine, shiftPositions, tempArray, 0, definedDayLine.length - shiftPositions);\\n System.arraycopy(definedDayLine, 0, tempArray, definedDayLine.length - shiftPositions, shiftPositions);\\n return tempArray;\\n }\",\n \"@Override\\n public void cycleSlipDataSet(String nameSat, AbsoluteDate date, double value, Frequency freq) {\\n super.cycleSlipDataSet(nameSat, date, value, freq);\\n }\",\n \"public String getSomeDayInfo(int day){\\n\\t\\tHashMap<String,String> hashMap = getSomeDaydata(day);\\n\\t\\tStringBuilder sb = new StringBuilder();\\n\\t\\tsb.append(hashMap.get(\\\"日期\\\")+\\\" \\\"+hashMap.get(\\\"天气\\\")+\\\"\\\\n\\\");\\n\\t\\tsb.append(\\\"最\\\"+hashMap.get(\\\"最高温\\\")+\\\"\\\\n\\\"+\\\"最\\\"+hashMap.get(\\\"最低温\\\"));\\n\\t\\tsb.append(\\\"\\\\n风力:\\\"+hashMap.get(\\\"风力\\\"));\\n\\n\\t\\treturn sb.toString();\\n\\t}\",\n \"public void setGraph(ActionEvent event)\\n {\\n theLineGraph.getData().clear();\\n double temporary=0;\\n theLineGraph.getXAxis().setLabel(\\\"Days\\\");\\n\\n XYChart.Series<String, Number> theGraph = new XYChart.Series<String, Number>();\\n\\n for (int i=0; i<Driver.save.getLog().size();i++)\\n {\\n String myI=i+\\\"\\\";\\n\\n if (event.getSource()==caloriesButton)\\n {\\n temporary=Driver.save.getDayCalories(i);\\n theLineGraph.getYAxis().setLabel(\\\"Calories\\\");\\n\\n } else if(event.getSource()==protienButton)\\n {\\n temporary=Driver.save.getDayProtein(i);\\n theLineGraph.getYAxis().setLabel(\\\"protien\\\");\\n }\\n else if (event.getSource()==carbsButton)\\n {\\n temporary=Driver.save.getDayCarbo(i);\\n theLineGraph.getYAxis().setLabel(\\\"Carbs\\\");\\n }\\n else if (event.getSource()==fatsButton)\\n {\\n temporary=Driver.save.getDayFats(i);\\n theLineGraph.getYAxis().setLabel(\\\"Fats\\\");\\n }\\n else if (event.getSource()==bevButton)\\n {\\n temporary=Driver.save.getDayBevarage(i);\\n theLineGraph.getYAxis().setLabel(\\\"Drinks in ml\\\");\\n }\\n\\n theGraph.getData().add(new XYChart.Data<String, Number>(myI ,temporary));\\n }\\n theLineGraph.getData().addAll(theGraph);\\n\\n }\",\n \"private void onCreateMoneyXYPlot(DateDoubleSeries coffeeExpenditureSeries, DateDoubleSeries teaExpenditureSeries) {\\n // refreshes the chart (it will be loaded with default vals at this point)\\n moneyXYPlot.clear();\\n moneyXYPlot.redraw();\\n\\n // default graph: supports y from $0.00 to $20.00 in increments of $2.50, but this can be\\n // overridden by very large values, in which case it's MAX_VALUE rounded to next\\n // increment of $2.50, in increments of MAX_VALUE / 8\\n double maxRange = 20;\\n double maxYValue = Double.max(coffeeExpenditureSeries.getMaxYValue(), teaExpenditureSeries.getMaxYValue());\\n if (maxYValue > 20) {\\n if (maxYValue % 5 != 0) maxRange = maxYValue + (5 - (maxYValue % 5));\\n else maxRange = maxYValue;\\n }\\n\\n // formatting: add extra vals at beg/end (7 days +1 on each end = 9) to create a margin for the bars\\n moneyXYPlot.setRangeStep(StepMode.SUBDIVIDE, 8);\\n moneyXYPlot.setRangeBoundaries(0, maxRange, BoundaryMode.FIXED);\\n moneyXYPlot.setDomainStep(StepMode.SUBDIVIDE, 10);\\n\\n // format the lines (color, smoothing, removing fill)\\n LineAndPointFormatter coffeeLineFormatter = new LineAndPointFormatter(Color.parseColor(\\\"#ac9782\\\"),\\n null, null, null);\\n coffeeLineFormatter.getLinePaint().setStrokeWidth(8);\\n coffeeLineFormatter.setInterpolationParams(new CatmullRomInterpolator.Params(20,\\n CatmullRomInterpolator.Type.Centripetal)); // smooths out the lines\\n coffeeLineFormatter.setFillPaint(null); // to prevent lines from filling .. may break in the future?\\n LineAndPointFormatter teaLineFormatter = new LineAndPointFormatter(Color.parseColor(\\\"#4d7d55\\\"),\\n null, null, null);\\n teaLineFormatter.getLinePaint().setStrokeWidth(8);\\n teaLineFormatter.setInterpolationParams(new CatmullRomInterpolator.Params(20,\\n CatmullRomInterpolator.Type.Centripetal)); // smooths out the lines\\n teaLineFormatter.setFillPaint(null);\\n\\n moneyXYPlot.addSeries(coffeeExpenditureSeries, coffeeLineFormatter);\\n moneyXYPlot.addSeries(teaExpenditureSeries, teaLineFormatter);\\n\\n // initialize line and point renderer (must be done after set formatter and add series to the plot)\\n moneyXYPlotRenderer = moneyXYPlot.getRenderer(LineAndPointRenderer.class);\\n\\n // X-AXIS = date values, formatted as \\\"10/27\\\"\\n moneyXYPlot.getGraph().getLineLabelStyle(XYGraphWidget.Edge.BOTTOM).setFormat(new xAxisDateFormat());\\n\\n // Y-AXIS = dollar values, formatted as \\\"$50\\\"\\n moneyXYPlot.getGraph().getLineLabelStyle(XYGraphWidget.Edge.LEFT).setFormat(new Format() {\\n @Override\\n public StringBuffer format(Object obj, StringBuffer toAppendTo, FieldPosition pos) {\\n // trying to format #'s like $13.50, but doesn't work for numbers ending in .0\\n // double number = Double.parseDouble(String.format(\\\"%.2f\\\", ((Number) obj).doubleValue()));\\n int number = ((Number) obj).intValue();\\n return new StringBuffer(\\\"$\\\" + number);\\n }\\n\\n @Override\\n public Number parseObject(String string, ParsePosition position) {\\n throw new UnsupportedOperationException(\\\"Not yet implemented.\\\");\\n }\\n });\\n }\",\n \"private void setDataLineChart() {\\n\\t\\t\\n\\t\\tchartLine.setTitle(\\\"Evolution du Solde\\\");\\n\\t\\tchartLine.getData().clear();\\n\\t\\t\\n\\t\\tXYChart.Series series = new XYChart.Series();\\n\\t\\tseries.getData().clear();\\n\\t\\tseries.setName(\\\"Evolution du solde\\\");\\n\\t\\t\\n\\t\\tdouble solde = bal.getAmount();\\n\\t\\tint currentYear = Calendar.getInstance().get(Calendar.YEAR);\\n\\t\\tint currentMonth = Calendar.getInstance().get(Calendar.MONTH);\\n\\t\\tint currentDay = Calendar.getInstance().get(Calendar.DAY_OF_MONTH);\\n\\t\\t\\n\\t\\t\\n\\t\\t// Create a calendar object and set year and month\\n\\t\\tCalendar mycal = new GregorianCalendar(currentYear, currentMonth,\\n\\t\\t\\t\\tcurrentDay);\\n\\t\\t\\n\\t\\t// Get the number of days in that month\\n\\t\\tint daysInMonth = mycal.getActualMaximum(Calendar.DAY_OF_MONTH);\\n\\t\\t\\n\\t\\tif (!bal.getTransactions().isEmpty()) {\\n\\t\\t\\tfor (IOTransactionLogic transaction : bal.getTransactions()\\n\\t\\t\\t\\t\\t.get(currentYear)[currentMonth]) {\\n\\t\\t\\t\\tsolde -= transaction.getAmount();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\tfor (int i = 0; i < currentDay; ++i) {\\n\\t\\t\\tif (!bal.getTransactions().isEmpty()) {\\n\\t\\t\\t\\tfor (IOTransactionLogic transaction : bal.getTransactions()\\n\\t\\t\\t\\t\\t\\t.get(currentYear)[currentMonth]) {\\n\\t\\t\\t\\t\\tjava.sql.Date dat = transaction.getDate();\\n\\t\\t\\t\\t\\tCalendar cal = Calendar.getInstance();\\n\\t\\t\\t\\t\\tcal.setTime(dat);\\n\\t\\t\\t\\t\\tif (cal.get(Calendar.DAY_OF_MONTH) - 1 == i) {\\n\\t\\t\\t\\t\\t\\tsolde += transaction.getAmount();\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tseries.getData()\\n\\t\\t\\t\\t\\t.add(new XYChart.Data(String.valueOf(i + 1), solde));\\n\\t\\t}\\n\\t\\t\\n\\t\\tchartLine.getData().addAll(series);\\n\\t\\tchartLine.setLegendVisible(false);\\n\\t}\",\n \"JFreeChart generateDot();\",\n \"@Override\\n\\tpublic boolean testExitAtDay (StockData sd, int strategyId, int lookback) {\\n\\n\\t\\tboolean toReturn = false;\\n\\n\\t\\tMacD macdData = sd.getMacd494();\\n\\n\\t\\tdouble[] macd = macdData.getMacd();\\n\\t\\tdouble[] signal = macdData.getSignal();\\n\\t\\tdouble[] histogram = macdData.getHistogram();\\n\\n\\t\\t\\t// If this is bullish strategy, in which case we are looking for the macd to cross up and over \\n\\t\\t\\t// center line or to cross back down the signal line (as a stop loss). We use the histogram to detect such\\n\\t\\t\\t// a signal line crossover.\\n\\t\\tif (strategyId == 0) {\\n\\n\\t\\t\\tif (((macd[lookback] > 0) && (macd[lookback + 1] < 0)) ||\\n\\t\\t\\t\\t((histogram[lookback] < 0) && (histogram[lookback + 1] > 0)))\\n\\t\\t\\t\\t\\ttoReturn = true;\\n\\n\\t\\t}\\n // This bullish strategy is just a slight modification -- it also exits if the MacD turns around at all.\\n else if (strategyId == 1) {\\n\\n \\t\\tif (((macd[lookback] > 0) && (macd[lookback + 1] < 0)) ||\\n\\t\\t\\t\\t((histogram[lookback] < 0) && (histogram[lookback + 1] > 0)) ||\\n (macd[lookback] < macd[lookback + 1]))\\n\\t\\t\\t\\t\\ttoReturn = true;\\n\\n }\\n\\t\\t\\t// If this is bearish strategy, in which case we are looking for the macd to cross down and under the\\n\\t\\t\\t// center line or to cross back up the signal line (as a stop loss). We use the histogram to detect such\\n\\t\\t\\t// a signal line crossover.\\n\\t\\telse if (strategyId == 2) {\\n\\n\\t\\t\\tif (((macd[lookback] < 0) && (macd[lookback + 1] > 0)) ||\\n\\t\\t\\t\\t((histogram[lookback] > 0) && (histogram[lookback + 1] < 0)))\\n\\t\\t\\t\\t\\ttoReturn = true;\\n\\n\\t\\t}\\n // This bullish strategy is just a slight modification -- it also exits if the MacD turns around at all.\\n else if (strategyId == 3) {\\n\\n \\tif (((macd[lookback] < 0) && (macd[lookback + 1] > 0)) ||\\n\\t\\t\\t\\t((histogram[lookback] > 0) && (histogram[lookback + 1] < 0)) ||\\n (macd[lookback] > macd[lookback + 1]))\\n\\t\\t\\t\\t\\ttoReturn = true;\\n\\n }\\n\\n\\t\\treturn toReturn;\\n\\n\\t}\",\n \"@Test\\n public void test35() throws Throwable {\\n Line2D.Double line2D_Double0 = new Line2D.Double(67.227245, 67.227245, 67.227245, 0.18);\\n line2D_Double0.setLine((-1200.58567454322), (-329.479065), (-238.92597), 90.0);\\n line2D_Double0.x1 = 50.0;\\n double double0 = line2D_Double0.getY1();\\n NumberAxis numberAxis0 = new NumberAxis(\\\"\\\");\\n CombinedRangeCategoryPlot combinedRangeCategoryPlot0 = new CombinedRangeCategoryPlot((ValueAxis) numberAxis0);\\n StackedAreaRenderer stackedAreaRenderer0 = new StackedAreaRenderer();\\n combinedRangeCategoryPlot0.setRenderer((CategoryItemRenderer) stackedAreaRenderer0);\\n AxisLocation axisLocation0 = combinedRangeCategoryPlot0.getRangeAxisLocation();\\n DefaultValueDataset defaultValueDataset0 = new DefaultValueDataset(50.0);\\n ThermometerPlot thermometerPlot0 = new ThermometerPlot((ValueDataset) defaultValueDataset0);\\n PlotOrientation plotOrientation0 = thermometerPlot0.getOrientation();\\n RectangleEdge rectangleEdge0 = Plot.resolveRangeAxisLocation(axisLocation0, plotOrientation0);\\n SubCategoryAxis subCategoryAxis0 = new SubCategoryAxis(\\\"GT-wuOa\\\");\\n List list0 = combinedRangeCategoryPlot0.getCategoriesForAxis(subCategoryAxis0);\\n combinedRangeCategoryPlot0.setRangeAxis(0, (ValueAxis) numberAxis0, true);\\n SystemColor systemColor0 = SystemColor.windowText;\\n StatisticalBarRenderer statisticalBarRenderer0 = new StatisticalBarRenderer();\\n BasicStroke basicStroke0 = (BasicStroke)statisticalBarRenderer0.getErrorIndicatorStroke();\\n CategoryMarker categoryMarker0 = null;\\n try {\\n categoryMarker0 = new CategoryMarker((Comparable) 90.0, (Paint) systemColor0, (Stroke) basicStroke0, (Paint) systemColor0, (Stroke) basicStroke0, (-2471.265F));\\n } catch(IllegalArgumentException e) {\\n //\\n // The 'alpha' value must be in the range 0.0f to 1.0f\\n //\\n assertThrownBy(\\\"org.jfree.chart.plot.Marker\\\", e);\\n }\\n }\",\n \"@Array({9}) \\n\\t@Field(16) \\n\\tpublic Pointer<Byte > TradingDay() {\\n\\t\\treturn this.io.getPointerField(this, 16);\\n\\t}\",\n \"public Paint getSeriesPaint() {\\n return this.seriesPaint;\\n}\",\n \"public void showMonth(String mon){\\n\\tboolean val = false;\\n\\tfor(int i =0;i<arch.length && !val;i++){\\n\\t\\tif(arch[i]!=null){\\n\\t\\t\\tif(arch[i].getDate().getMonth().equalsIgnoreCase(mon)){\\n\\t\\t\\t\\tSystem.out.println(\\\"Name: \\\"+arch[i].getName());\\n\\t\\t\\t\\tSystem.out.println(\\\"Day: \\\"+arch[i].getDate().getDay());\\n\\t\\t\\t\\tSystem.out.println(\\\"Candle color: \\\"+arch[i].getCandle().getColor());\\n\\t\\t\\t\\tSystem.out.println(\\\"Candle essence: \\\"+arch[i].getCandle().getEssence());\\n\\t\\t\\t\\tSystem.out.println(\\\"-----------------------------------\\\");\\n\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\telse{\\n\\t\\t\\tval=true;\\n\\t\\t}\\n\\t}\\n}\",\n \"private void setupDailyBarChart() {\\r\\n BarChart chart = findViewById(R.id.chart);\\r\\n chart.getDescription().setEnabled(false);\\r\\n chart.setExtraOffsets(0, 0, 0, 10);\\r\\n chart.setNoDataText(getResources().getString(R.string.loading_graph));\\r\\n chart.getPaint(Chart.PAINT_INFO).setTextSize(Utils.convertDpToPixel(16f));\\r\\n chart.getLegend().setEnabled(false);\\r\\n\\r\\n // Show time on x-axis at three hour intervals\\r\\n XAxis xAxis = chart.getXAxis();\\r\\n xAxis.setValueFormatter(new IAxisValueFormatter() {\\r\\n @Override\\r\\n public String getFormattedValue(float value, AxisBase axis) {\\r\\n int valueInt = (int) value;\\r\\n if(valueInt == 0) {\\r\\n return \\\"12am\\\";\\r\\n } else if(valueInt > 0 && valueInt < 12) {\\r\\n return valueInt + \\\"am\\\";\\r\\n } else if(valueInt == 12) {\\r\\n return \\\"12pm\\\";\\r\\n } else {\\r\\n return (valueInt - 12) + \\\"pm\\\";\\r\\n }\\r\\n }\\r\\n });\\r\\n\\r\\n xAxis.setPosition(XAxis.XAxisPosition.BOTTOM);\\r\\n xAxis.setDrawGridLines(false);\\r\\n xAxis.setTextSize(14f);\\r\\n // show label for every three hours\\r\\n xAxis.setGranularity(3.0f);\\r\\n xAxis.setLabelCount(8);\\r\\n xAxis.setGranularityEnabled(true);\\r\\n\\r\\n // Show non-sedentary hours on left y-axis\\r\\n YAxis yAxisLeft = chart.getAxisLeft();\\r\\n yAxisLeft.setAxisMinimum(0f);\\r\\n yAxisLeft.setTextSize(14f);\\r\\n yAxisLeft.setGranularity(1.0f); // show integer values on y axis\\r\\n yAxisLeft.setGranularityEnabled(true);\\r\\n\\r\\n YAxis yAxisRight = chart.getAxisRight();\\r\\n yAxisRight.setEnabled(false);\\r\\n }\",\n \"public void setLineData(ArrayList<Integer> allDay) {\\r\\n\\r\\n ArrayList<String> xVals = new ArrayList<String>();\\r\\n for (int i = 1; i <= 24; i++) {\\r\\n xVals.add((i) + \\\"\\\");\\r\\n }\\r\\n\\r\\n ArrayList<Entry> vals1 = new ArrayList<Entry>();\\r\\n\\r\\n for (int i = 1; i <= 24; i++) {\\r\\n vals1.add(new Entry(allDay.get(i-1), i));\\r\\n }\\r\\n Log.v(\\\"vals1\\\",vals1.toString());\\r\\n \\t\\r\\n \\t\\r\\n// \\tint count = 45;\\r\\n// \\tint range = 100; \\r\\n// \\tArrayList<String> xVals = new ArrayList<String>();\\r\\n// for (int i = 0; i < count; i++) {\\r\\n// xVals.add((1990 +i) + \\\"\\\");\\r\\n// }\\r\\n//\\r\\n// ArrayList<Entry> vals1 = new ArrayList<Entry>();\\r\\n//\\r\\n// for (int i = 0; i < count; i++) {\\r\\n// float mult = (range + 1);\\r\\n// float val = (float) (Math.random() * mult) + 20;// + (float)\\r\\n// // ((mult *\\r\\n// // 0.1) / 10);\\r\\n// vals1.add(new Entry(val, i));\\r\\n// }\\r\\n// \\r\\n \\t\\r\\n // create a dataset and give it a type\\r\\n LineDataSet set1 = new LineDataSet(vals1, \\\"DataSet 1\\\");\\r\\n set1.setDrawCubic(true);\\r\\n set1.setCubicIntensity(0.2f);\\r\\n set1.setDrawFilled(true);\\r\\n set1.setDrawCircles(false); \\r\\n set1.setLineWidth(2f);\\r\\n set1.setCircleSize(5f);\\r\\n set1.setHighLightColor(Color.rgb(244, 117, 117));\\r\\n set1.setColor(Color.rgb(104, 241, 175));\\r\\n\\r\\n ArrayList<LineDataSet> dataSets = new ArrayList<LineDataSet>();\\r\\n dataSets.add(set1);\\r\\n\\r\\n // create a data object with the datasets\\r\\n LineData data = new LineData(xVals, dataSets);\\r\\n\\r\\n // set data\\r\\n nChart.setData(data);\\r\\n }\",\n \"private Double[] getDayValue24(DayEM dayEm) {\\n\\n\\t Double[] dayValues = new Double[24];\\n\\n\\t /* OPF-610 정규화 관련 처리로 인한 주석\\n\\t dayValues[0] = (dayEm.getValue_00() == null ? 0 : dayEm.getValue_00());\\n\\t dayValues[1] = (dayEm.getValue_01() == null ? 0 : dayEm.getValue_01());\\n\\t dayValues[2] = (dayEm.getValue_02() == null ? 0 : dayEm.getValue_02());\\n\\t dayValues[3] = (dayEm.getValue_03() == null ? 0 : dayEm.getValue_03());\\n\\t dayValues[4] = (dayEm.getValue_04() == null ? 0 : dayEm.getValue_04());\\n\\t dayValues[5] = (dayEm.getValue_05() == null ? 0 : dayEm.getValue_05());\\n\\t dayValues[6] = (dayEm.getValue_06() == null ? 0 : dayEm.getValue_06());\\n\\t dayValues[7] = (dayEm.getValue_07() == null ? 0 : dayEm.getValue_07());\\n\\t dayValues[8] = (dayEm.getValue_08() == null ? 0 : dayEm.getValue_08());\\n\\t dayValues[9] = (dayEm.getValue_09() == null ? 0 : dayEm.getValue_09());\\n\\t dayValues[10] = (dayEm.getValue_10() == null ? 0 : dayEm.getValue_10());\\n\\t dayValues[11] = (dayEm.getValue_11() == null ? 0 : dayEm.getValue_11());\\n\\t dayValues[12] = (dayEm.getValue_12() == null ? 0 : dayEm.getValue_12());\\n\\t dayValues[13] = (dayEm.getValue_13() == null ? 0 : dayEm.getValue_13());\\n\\t dayValues[14] = (dayEm.getValue_14() == null ? 0 : dayEm.getValue_14());\\n\\t dayValues[15] = (dayEm.getValue_15() == null ? 0 : dayEm.getValue_15());\\n\\t dayValues[16] = (dayEm.getValue_16() == null ? 0 : dayEm.getValue_16());\\n\\t dayValues[17] = (dayEm.getValue_17() == null ? 0 : dayEm.getValue_17());\\n\\t dayValues[18] = (dayEm.getValue_18() == null ? 0 : dayEm.getValue_18());\\n\\t dayValues[19] = (dayEm.getValue_19() == null ? 0 : dayEm.getValue_19());\\n\\t dayValues[20] = (dayEm.getValue_20() == null ? 0 : dayEm.getValue_20());\\n\\t dayValues[21] = (dayEm.getValue_21() == null ? 0 : dayEm.getValue_21());\\n\\t dayValues[22] = (dayEm.getValue_22() == null ? 0 : dayEm.getValue_22());\\n\\t dayValues[23] = (dayEm.getValue_23() == null ? 0 : dayEm.getValue_23());\\n\\t\\t\\t*/\\n\\t \\n\\t return dayValues;\\n\\t }\",\n \"void plotLineDeltaA(int[] shades1, boolean tScreened1, int[] shades2,\\n boolean tScreened2, int shadeIndex, int xA, int yA, int zA,\\n int dxBA, int dyBA, int dzBA, boolean clipped) {\\n x1t = xA;\\n x2t = xA + dxBA;\\n y1t = yA;\\n y2t = yA + dyBA;\\n z1t = zA;\\n z2t = zA + dzBA;\\n if (clipped)\\n switch (getTrimmedLine()) {\\n case VISIBILITY_OFFSCREEN:\\n return;\\n case VISIBILITY_UNCLIPPED:\\n clipped = false;\\n }\\n plotLineClippedA(shades1, tScreened1, shades2, tScreened2, shadeIndex, xA,\\n yA, zA, dxBA, dyBA, dzBA, clipped, 0, 0);\\n }\",\n \"private void jBtnFuzzyActionPerformed(java.awt.event.ActionEvent evt) {\\n int rv = 0;\\n String relax = jRelaxTxt.getText();\\n rv = Integer.valueOf(relax);\\n String ideal = jIdealTxt.getText();\\n int normal = 0;\\n //System.out.println(rv);\\n \\n //read data using readExcel class\\n readExcel exData = new readExcel();\\n double[][] chartData = exData.readDataset(myFile);\\n \\n //Line Chart with Series --used to show simulation data\\n// DefaultCategoryDataset ds = new DefaultCategoryDataset();\\n// final String series1 = \\\"max\\\";\\n// final String series2 = \\\"foodCount\\\";\\n// final String series3 = \\\"min\\\";\\n// for(int i=0;i<chartData[0].length;i++){\\n// ds.addValue(chartData[0][i], series1, String.valueOf(i));\\n// ds.addValue(chartData[1][i], series2, String.valueOf(i));\\n// ds.addValue((chartData[0][i]-rv), series3, String.valueOf(i));\\n// }\\n// JFreeChart simchart = ChartFactory.createLineChart(\\\"Simulation Result\\\", \\\"Day\\\", \\\"Value\\\", ds, PlotOrientation.VERTICAL, true, true, false);\\n// simchart.setBackgroundPaint(Color.white);\\n// final CategoryPlot plot = (CategoryPlot) simchart.getPlot();\\n// plot.setBackgroundPaint(Color.lightGray);\\n// plot.setRangeGridlinePaint(Color.white);\\n// ChartFrame fr = new ChartFrame(\\\"Simulation Result\\\", simchart);\\n// fr.setVisible(true);\\n// fr.setSize(1000, 400);\\n \\n //fuzzy result\\n DefaultCategoryDataset dataset = new DefaultCategoryDataset();\\n double fx, Dx;\\n \\n String choice = jCBFuzzyType.getSelectedItem().toString();\\n if(choice == \\\"One Side\\\"){\\n for(int i=1;i<chartData[0].length;i++){\\n Dx = chartData[0][i]-chartData[1][i];\\n //Dx = chartData[1][i]-chartData[0][i];\\n if(Dx>rv)\\n fx=0;\\n else\\n fx=((rv+1)-Dx)/(rv+1);\\n dataset.setValue(fx, \\\"\\\", String.valueOf(i));\\n }\\n }\\n else{\\n normal = Integer.valueOf(ideal);\\n for(int i=1;i<chartData[0].length;i++){\\n Dx = chartData[1][i]-normal;\\n //Dx = chartData[1][i]-chartData[0][i];\\n if(Dx>rv || Dx< -rv)\\n fx=0;\\n else\\n fx=((rv+1)-abs(Dx))/(rv+1);\\n System.out.println(\\\"Hasil simulasi:\\\"+chartData[1][i]+\\\" & Dx:\\\"+Dx+\\\" & fx:\\\"+fx);\\n dataset.setValue(fx, \\\"\\\", String.valueOf(i));\\n }\\n }\\n \\n JFreeChart chart = ChartFactory.createLineChart(\\\"Fuzzy Requirement Satisfaction\\\", \\\"Day\\\", \\\"Fuzzy Satisfaction\\\", dataset, PlotOrientation.VERTICAL, false, true, false);\\n CategoryPlot p = chart.getCategoryPlot();\\n p.setRangeGridlinePaint(Color.DARK_GRAY);\\n ChartFrame frame = new ChartFrame(\\\"Fuzzy Representation\\\",chart);\\n frame.setVisible(true);\\n frame.setSize(1000,400);\\n\\n }\",\n \"@Override\\n public void show() {\\n // display same beginning interface as SetTimeView\\n super.show();\\n \\n // show title\\n clock.getDigit(2).setText(0, \\\"Set Alarm\\\");\\n \\n for(int i = 0; i < DAYS.length; i++) {\\n clock.getDigit(2).setText(i+2, DAYS[i]);\\n }\\n String str;\\n for(int i = 0; i < DAYS.length; i++){\\n str = DAYS[i];\\n if(days[i]){\\n str = \\\">\\\"+DAYS[i]+\\\"<\\\";\\n }\\n clock.getDigit(2).setText(i+2,str); \\n }\\n\\n }\",\n \"public abstract int getDeviation(\\n CalendarDate calendarDay,\\n TZID tzid\\n );\",\n \"private void plotDato() {\\n List<Entry> entriesMedidas = new ArrayList<Entry>();\\n entriesMedidas.add(new Entry((float) dato.getYears(), (float) dato.getMeasures()[mag]));\\n LineDataSet lineaMedidas = new LineDataSet(entriesMedidas, \\\"Medida\\\");\\n lineaMedidas.setAxisDependency(YAxis.AxisDependency.LEFT);\\n lineaMedidas.setColor(ColorTemplate.rgb(\\\"0A0A0A\\\"));\\n lineaMedidas.setCircleColor(ColorTemplate.rgb(\\\"0A0A0A\\\"));\\n todasMedidas.add(lineaMedidas);\\n }\",\n \"@Override\\n\\tpublic void actionPerformed(ActionEvent e) {\\n\\t\\tint month;\\n\\t\\tdouble maxtempereture,monthlytempereture,mintempereture;\\n\\t\\tResultSet rs;\\n\\t\\tlib.MySQL mysql = new lib.MySQL();\\n\\t\\trs = mysql.selectAll();\\n\\t\\tDefaultCategoryDataset data = new DefaultCategoryDataset();\\n\\t\\ttry{\\n\\t\\t\\twhile(rs.next()){\\n\\t\\t\\t\\tmonth = rs.getInt(\\\"Month\\\");\\n\\t\\t\\t\\tmaxtempereture = rs.getDouble(\\\"MaxTempereture\\\");\\n\\t\\t\\t\\tmonthlytempereture = rs.getDouble(\\\"MonthkyTempereture\\\");\\n\\t\\t\\t\\tmintempereture = rs.getDouble(\\\"MinTempereture\\\");\\n System.out.println(\\\"月：\\\" + month);\\n System.out.println(\\\"最高気温：\\\" + maxtempereture);\\n System.out.println(\\\"月間平均気温：\\\" + monthlytempereture);\\n System.out.println(\\\"最低気温：\\\" + mintempereture);\\n data.addValue(maxtempereture,\\\"MaxTempereture\\\",month+\\\"\\\");\\n data.addValue(monthlytempereture,\\\"MonthlyTempereture\\\",month+\\\"\\\");\\n data.addValue(mintempereture,\\\"MinTempereture\\\",month+\\\"\\\");\\n\\t\\t }\\n\\t\\t}catch(SQLException et){}\\n\\t\\t JFreeChart chart = \\n\\t\\t\\t ChartFactory.createLineChart(\\\"TOKYO TEMPERETURE\\\",\\n\\t\\t\\t \\\"month\\\",\\n\\t\\t\\t \\\"tempereture\\\",\\n\\t\\t\\t data,\\n\\t\\t\\t PlotOrientation.VERTICAL,\\n\\t\\t\\t true,\\n\\t\\t\\t false,\\n\\t\\t\\t false);\\n \\n\\n ChartPanel cpanel = new ChartPanel(chart);\\n panel1.add(cpanel);\\n cardlayout.next(this);\\n\\t}\",\n \"private void invokeHistoricChart(StockData sd)\\r\\n {\\r\\n\\r\\n debug(\\\"invokeHistoricChart(\\\" + sd.getName().toString() + \\\") - preparing to change\\\");\\r\\n\\r\\n String fileName = getString(\\\"WatchListTableModule.edit.historic_details_basic_name\\\") + sd.getSymbol().getDataSz();\\r\\n java.io.File theFile = new java.io.File(fileName);\\r\\n\\r\\n // First signal the chart if we are demo mode, we really do not want a problem\\r\\n // Then create a new instance of our chart.\\r\\n com.stockmarket.chart.ohlc.HighLowStockChart.DEMO_MODE = this.DEMO_MODE;\\r\\n com.stockmarket.chart.ohlc.HighLowStockChart chart = new com.stockmarket.chart.ohlc.HighLowStockChart();\\r\\n // If we have historic data send it through\\r\\n if (theFile.exists())\\r\\n {\\r\\n debug(\\\"invokeHistoricChart() - \\\" + fileName + \\\" exists preparing the Historic Chart\\\");\\r\\n chart.displayHighLowChart(fileName);\\r\\n }\\r\\n else if (this.DEMO_MODE)\\r\\n {\\r\\n // If we are demo mode display the Chart. With its default data\\r\\n javax.swing.JOptionPane.showMessageDialog(\\r\\n null,\\r\\n \\\"Application is in DEMO Mode\\\\n\\\"\\r\\n + \\\"No historic data for \\\"\\r\\n + sd.getName().toString()\\r\\n + \\\" exists, displaying default graph.\\\");\\r\\n chart.displayHighLowChart(null);\\r\\n }\\r\\n else\\r\\n {\\r\\n // If we are live mode and no historic data - tell the user to try later.\\r\\n // This is the case where the user reached a item to display as a chart\\r\\n // before the program has finished downloading.\\r\\n javax.swing.JOptionPane.showMessageDialog(\\r\\n null,\\r\\n \\\"Application has no historic data for \\\" + sd.getName().toString() + \\\"\\\\nTry again later!\\\");\\r\\n }\\r\\n\\r\\n debug(\\\"invokeHistoricChart() - Processing completed\\\");\\r\\n }\",\n \"@GetMapping(\\\"/charts-medications/{id}\\\")\\n @Timed\\n public List<Chart> getAllChartMedicationsByDate(@PathVariable Long id) {\\n log.debug(\\\"REST request to get all Charts By Facility and with medication by date\\\");\\n return chartService.findAllMedicationsByDay(id);\\n }\",\n \"@Test\\n public void test05() throws Throwable {\\n CategoryPlot categoryPlot0 = new CategoryPlot();\\n List list0 = categoryPlot0.getAnnotations();\\n JFreeChart jFreeChart0 = new JFreeChart((Plot) categoryPlot0);\\n categoryPlot0.removeChangeListener(jFreeChart0);\\n LogAxis logAxis0 = new LogAxis(\\\"\\\");\\n categoryPlot0.setRangeAxis(0, (ValueAxis) logAxis0, false);\\n Line2D.Double line2D_Double0 = new Line2D.Double(2679.0111898666, 0.0, 0.0, 1.0);\\n double double0 = line2D_Double0.getY2();\\n }\",\n \"public static DefaultTableModel getSensorDataTime(String day, int id, Date date) {\\n ResultSet rs = null;\\n DefaultTableModel DTm = null;\\n try (\\n PreparedStatement stmt = conn.prepareStatement(SENSOR_DATA_TIME, ResultSet.TYPE_SCROLL_INSENSITIVE, ResultSet.CONCUR_READ_ONLY);) {\\n stmt.setString(1, day);\\n stmt.setInt(2, id);\\n stmt.setDate(3, date);\\n stmt.setDate(4, date);\\n\\n rs = stmt.executeQuery();\\n System.out.println(stmt.toString());\\n DTm = buildTableModel(rs);\\n\\n } catch (SQLException e) {\\n System.err.println(e);\\n }\\n return DTm;\\n }\",\n \"public MonthPanel(DayPanel dp) {\\n \\t\\tsuper(JScrollPane.VERTICAL_SCROLLBAR_AS_NEEDED, JScrollPane.HORIZONTAL_SCROLLBAR_AS_NEEDED);\\n \\t\\t\\n \\t\\tJPanel panel = new JPanel(new GridLayout(6,7));\\n \\n \\t\\tDayDto day = dp.getDay();\\n \\t\\tthis.d = day.getDate();\\n \\t\\t\\n \\t\\t//GregorianCalendar cal = new GregorianCalendar();\\n \\t\\tCalendar cal = GregorianCalendar.getInstance();\\n \\t\\tcal.setTime(this.d);\\n \\t\\t\\n \\t\\t//cal.set(Calendar.DATE, 1);\\n \\t\\t//cal.set(Calendar.MONTH, d.getMonth() - 1);\\n \\t\\t//cal.set(Calendar.YEAR, d.getYear());\\n \\t\\t\\n \\t\\tint m= cal.get(Calendar.MONTH) + 1;\\n \\t\\t\\n \\t\\tString month = \\\"December\\\";\\n \\t\\tif (m == 1) month = \\\"January\\\";\\n \\t\\telse if (m == 2) month = \\\"February\\\";\\n \\t\\telse if (m == 3) month = \\\"March\\\";\\n \\t\\telse if (m == 4) month = \\\"April\\\";\\n \\t\\telse if (m == 5) month = \\\"May\\\";\\n \\t\\telse if (m == 6) month = \\\"June\\\";\\n \\t\\telse if (m == 7) month = \\\"July\\\";\\n \\t\\telse if (m == 8) month = \\\"August\\\";\\n \\t\\telse if (m == 9) month = \\\"September\\\";\\n \\t\\telse if (m == 10) month = \\\"October\\\";\\n \\t\\telse if (m == 11) month = \\\"November\\\";\\n \\t\\t\\n \\t\\tmonth = month + \\\" \\\" + cal.get(Calendar.YEAR);\\n \\t\\t\\n \\t\\t//prevDays is the number of boxes in the upper left, before the first of the month, needed since the \\n \\t\\t//calendar is going to be a 6x7 set of boxes. Calendar.SUNDAY is 1 and so forth, so we use day of week - 1\\n \\t\\tint prevDays = cal.get(Calendar.DAY_OF_WEEK) - 1; \\n \\t\\tint endDays = 42 - cal.getActualMaximum(Calendar.DAY_OF_MONTH) - prevDays;\\n \\t\\t\\n \\t\\t/*System.out.println(\\\"Calendar.DAY_OF_WEEK: \\\" + Calendar.DAY_OF_WEEK);\\n \\t\\t//System.out.println(\\\"Calendar.DATE\\\" + Calendar.DATE);\\n \\t\\t//System.out.println(\\\"Calendar.MONTH\\\" + cal.get(Calendar.MONTH));\\n \\t\\t//System.out.println(\\\"Calendar.YEAR\\\" + cal.get(Calendar.YEAR));\\n \\t\\t//System.out.println(\\\"prevDays: \\\" + prevDays);\\n \\t\\t//System.out.println(\\\"endDays: \\\" + endDays);*/\\n \\t\\t\\n\\t\\tcal.roll(Calendar.MONTH, false);\\n \\t\\t\\n \\t\\tfor (int i = 1; i <= prevDays; i++) {\\n\\t\\t\\tCalendar c = new GregorianCalendar(cal.get(Calendar.MONTH) + 1, cal.getActualMaximum(Calendar.DAY_OF_MONTH) - prevDays + i, cal.get(Calendar.YEAR));\\n \\t\\t\\tjava.sql.Date date = new Date(c.getTime().getTime());\\n \\t\\t\\tpanel.add(new DayBlock(date, Color.LIGHT_GRAY));\\n \\t\\t}\\n\\t\\t\\n\\t\\tcal.roll(Calendar.MONTH, true);\\n\\t\\t\\n \\t\\tfor (int i = 1; i <= cal.getActualMaximum(Calendar.DAY_OF_MONTH); i++) {\\n\\t\\t\\tCalendar c = new GregorianCalendar(cal.get(Calendar.MONTH), i, cal.get(Calendar.YEAR));\\n \\t\\t\\tjava.sql.Date date = new Date(c.getTime().getTime());\\n \\t\\t\\tpanel.add(new DayBlock(date));\\n \\t\\t}\\n \\t\\t\\n\\t\\tcal.roll(Calendar.MONTH, true);\\n\\t\\t\\n \\t\\tfor (int i = 1; i <= endDays; i++) {\\n\\t\\t\\tCalendar c = new GregorianCalendar(cal.get(Calendar.MONTH) + 1, i, cal.get(Calendar.YEAR));\\n \\t\\t\\tjava.sql.Date date = new Date(c.getTime().getTime());\\n \\t\\t\\tpanel.add(new DayBlock(date, Color.LIGHT_GRAY));\\n \\t\\t}\\n \\t\\t\\n \\t\\tMonthHeadingPanel mhp = new MonthHeadingPanel(month);\\n \\t\\tJPanel main = new JPanel(new BorderLayout());\\n \\t\\tmain.add(mhp, BorderLayout.NORTH);\\n \\t\\t\\n \\t\\tmain.add(panel, BorderLayout.CENTER);\\n \\t\\t\\n \\t\\tsetViewportView(main);\\n \\t}\",\n \"public void dayNightCycle(boolean debug) {\\r\\n float distance;\\r\\n int timeUnit;\\r\\n float max;\\r\\n if (debug) {\\r\\n timeUnit = seconds - 5;\\r\\n max = 60 / 2f;\\r\\n } else {\\r\\n timeUnit = hours - 2;\\r\\n max = 24 / 2f;\\r\\n }\\r\\n\\r\\n if (timeUnit <= max) {\\r\\n distance = timeUnit;\\r\\n } else {\\r\\n distance = max - (timeUnit - max);\\r\\n }\\r\\n\\r\\n dayOpacity = distance / max;\\r\\n }\",\n \"private void createChart() {\\n LineChart lineChart = (LineChart) findViewById(R.id.line_chart);\\n\\n // LineChart DataSet\\n ArrayList<LineDataSet> dataSets = new ArrayList<>();\\n\\n // x-coordinate format value\\n XAxis xAxis = lineChart.getXAxis();\\n xAxis.setPosition(XAxis.XAxisPosition.BOTTOM);\\n xAxis.setGranularity(1f); // only intervals of 1 day\\n// xAxis.setValueFormatter(new DayAxisValueFormatter(lineChart));\\n\\n\\n // x-coordinate value\\n ArrayList<String> xValues = new ArrayList<>();\\n xValues.add(\\\"No.1\\\");\\n xValues.add(\\\"No.2\\\");\\n xValues.add(\\\"No.3\\\");\\n xValues.add(\\\"No.4\\\");\\n xValues.add(\\\"No.5\\\");\\n\\n // value\\n ArrayList<Entry> value = new ArrayList<>();\\n String measureItemName = \\\"\\\";\\n value.add(new Entry(100, 0));\\n value.add(new Entry(120, 1));\\n value.add(new Entry(150, 2));\\n value.add(new Entry(250, 3));\\n value.add(new Entry(500, 4));\\n\\n\\n // add value to LineChart's DataSet\\n LineDataSet valueDataSet = new LineDataSet(value, measureItemName);\\n dataSets.add(valueDataSet);\\n\\n // set LineChart's DataSet to LineChart\\n// lineChart.setData(new LineData(xValues, dataSets));\\n lineChart.setData(new LineData(valueDataSet));\\n }\",\n \"@Test\\n public void test76() throws Throwable {\\n SimpleTimeZone simpleTimeZone0 = new SimpleTimeZone((-614), \\\"\\\", 0, 0, 0, (-1), 0, 0, 3473, (-1));\\n DateAxis dateAxis0 = new DateAxis(\\\"\\\", (TimeZone) simpleTimeZone0);\\n CombinedRangeCategoryPlot combinedRangeCategoryPlot0 = new CombinedRangeCategoryPlot((ValueAxis) dateAxis0);\\n DatasetRenderingOrder datasetRenderingOrder0 = combinedRangeCategoryPlot0.getDatasetRenderingOrder();\\n CombinedRangeXYPlot combinedRangeXYPlot0 = new CombinedRangeXYPlot((ValueAxis) dateAxis0);\\n BasicStroke basicStroke0 = (BasicStroke)combinedRangeXYPlot0.getDomainZeroBaselineStroke();\\n PipedInputStream pipedInputStream0 = new PipedInputStream();\\n PipedOutputStream pipedOutputStream0 = new PipedOutputStream(pipedInputStream0);\\n DataOutputStream dataOutputStream0 = new DataOutputStream((OutputStream) pipedOutputStream0);\\n ObjectOutputStream objectOutputStream0 = new ObjectOutputStream((OutputStream) dataOutputStream0);\\n SerialUtilities.writeStroke(basicStroke0, objectOutputStream0);\\n SystemColor systemColor0 = SystemColor.text;\\n LookupPaintScale lookupPaintScale0 = new LookupPaintScale((double) 0, 1955.7194307587054, (Paint) systemColor0);\\n PaintScaleLegend paintScaleLegend0 = new PaintScaleLegend((PaintScale) lookupPaintScale0, (ValueAxis) dateAxis0);\\n AxisLocation axisLocation0 = paintScaleLegend0.getAxisLocation();\\n combinedRangeCategoryPlot0.setDomainAxisLocation(334, axisLocation0);\\n }\",\n \"public void fillCal(Model i)\\n {\\n for (int y = 0; y < 6; y++)\\n {\\n for (int j=0; j< 7; j++)\\n {\\n tableModel.setValueAt(null, y, j);\\n }\\n }\\n int NumberOfDays = i.getMaxDayOfMonth();\\n int DayOfWeek = i.getFdayOfWeek();\\n JLabel xCord = new JLabel(String.valueOf(NumberOfDays));\\n for (int x = 1; x <= NumberOfDays; x++)\\n {\\n int row = new Integer((x+ DayOfWeek - 2) / 7);\\n int column = (x + DayOfWeek - 2) % 7;\\n if(x == i.getDate() && i.getMonth() == i.realMonth())\\n {\\n String y = \\\"[\\\" + x + \\\"]\\\";\\n tableModel.setValueAt(y, row, column);\\n }\\n else {\\n tableModel.setValueAt(x, row, column);\\n }\\n }\\n }\",\n \"public void generateMahadashaAndAntardashaTable(Vector<MahaDashaBean> dasha, PdfContentByte canvas, String planetname, int tableX, float tableY,ColorElement mycolor) {\\n\\t\\tFont font = new Font();\\n\\t\\tfont.setSize(this.getTableDatafont());\\n\\t\\tfont.setColor(mycolor.fillColor(getTableDataColor()));\\n\\t\\t//Font font2 = new Font();\\n\\t\\t// font2.setSize(this.getTableDatafont());\\n\\t\\t// font2.setStyle(\\\"BOLD\\\");\\n\\t\\tFont font3 = new Font();\\n\\t\\tfont3.setSize(this.getSemiHeading());\\n\\t\\tfont3.setColor(mycolor.fillColor(getTableHeadingColor()));\\n\\t\\t// RashiHouseBean rashiBean=null;\\n\\t\\tMahaDashaBean mahadashabean = null;\\n\\t\\tPdfPTable mahadashaTable = null;\\n\\n\\t\\t//\\tColumnText.showTextAligned(canvas, Element.ALIGN_CENTER,new Phrase(planetname,font3),tableX+10,tableY+15,0);\\n\\t\\tmahadashaTable = new PdfPTable(3);\\n\\t\\tmahadashaTable.setTotalWidth(140);\\n\\t\\tString[] monthArr = new String[2];\\n\\t\\tString month = null;\\n\\t\\ttry {\\n\\t\\t\\tmahadashaTable.setWidths(new int[]{40, 50, 50});\\n\\t\\t} catch (DocumentException ex) {\\n\\t\\t\\tex.printStackTrace();\\n\\t\\t}\\n\\t\\tmahadashaTable.getDefaultCell().setBorderWidth(0);\\n\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(\\\"Antar\\\", font3)));\\n\\t\\tmahadashaTable.getDefaultCell().setBorderWidth(0);\\n\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(\\\"Beginning\\\", font3)));\\n\\t\\tmahadashaTable.getDefaultCell().setBorderWidth(0);\\n\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(\\\"Ending\\\", font3)));\\n\\n\\n\\t\\tif (!StringUtils.isBlank(dasha.get(0).getYear())) {\\n\\t\\t\\t// logger.info(\\\"**************||||||||||||||||||Antardashaaaaaaaaaaaaaaaaaaa||||||||||||||||||\\\" + dasha.get(0).getYear());\\n\\t\\t\\tmonthArr = dasha.get(0).getYear().split(\\\"_\\\");\\n\\n\\t\\t\\tColumnText.showTextAligned(canvas, Element.ALIGN_CENTER, new Phrase(monthArr[0], font3), tableX + 20, tableY + 15, 0);\\n\\t\\t\\tColumnText.showTextAligned(canvas, Element.ALIGN_CENTER,\\n\\t\\t\\t\\t\\tnew Phrase(monthArr[1], font), tableX + 35, tableY + 4, 0);\\n\\n\\t\\t}\\n\\n\\n\\t\\tfor (int loop = 0; loop < dasha.size(); loop++) {\\n\\t\\t\\t// rashiBean=(RashiHouseBean)dasha.get(loop);\\n\\t\\t\\tmahadashabean = (MahaDashaBean) dasha.get(loop);\\n\\t\\t\\tdrawLine1(canvas, tableX, tableY, tableX + 140, tableY);\\n\\t\\t\\tdrawLine1(canvas, tableX, (tableY - 15), tableX + 140, (tableY - 15));\\n\\t\\t\\tdrawLine1(canvas, tableX, (tableY - 125), tableX + 140, (tableY - 125));\\n\\n\\t\\t\\tmahadashaTable.getDefaultCell().setBorderWidth(0);\\n\\t\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(mahadashabean.getPlanetName(), font)));\\n\\t\\t\\tmahadashaTable.getDefaultCell().setBorderWidth(0);\\n\\t\\t\\tString tm=mahadashabean.getStartTime();\\n\\t\\t\\tif(tm!=null && tm!=\\\"\\\")\\n\\t\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(tm.split(\\\" \\\")[0], font)));\\n\\t\\t\\telse\\n\\t\\t\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(\\\"\\\", font)));\\n\\t\\t\\t\\n\\t\\t\\tmahadashaTable.getDefaultCell().setBorderWidth(0);\\n\\t\\t\\ttm=mahadashabean.getEndTime();\\n\\t\\t\\t\\tif(tm!=null && tm!=\\\"\\\")\\n\\t\\t\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(tm.split(\\\" \\\")[0], font)));\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\tmahadashaTable.addCell(new Phrase(new Chunk(\\\"\\\", font)));\\n\\t\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t\\n\\n\\t\\t}\\n\\t\\tmahadashaTable.writeSelectedRows(0, -1, tableX, tableY, writer.getDirectContent());\\n\\n\\n\\n\\t}\",\n \"public void plotData(boolean appendingData, boolean mean) {\\n\\n // Add data to existing plaot if appending.\\n if (appendingData && chartpanel != null) {\\n appendData();\\n } else {\\n String xaxisname = \\\"Plane\\\";\\n // Create an chart empty.\\n if (mean) {\\n xaxisname = \\\"Length\\\";\\n }\\n final JFreeChart chart = createChart(xaxisname);\\n chart.setBackgroundPaint(Color.WHITE); //DJ: 09/22/2014\\n\\n // Get the data.\\n if (mean) {\\n data = getLineDataset();\\n } else {\\n data = getDataset();\\n }\\n\\n // Apply data to the plot\\n MimsXYPlot xyplot = (MimsXYPlot) chart.getPlot();\\n\\n xyplot.setBackgroundPaint(Color.WHITE); //DJ: 09/22/2014\\n\\n xyplot.setDataset(data);\\n xyplot.setRois(rois);\\n xyplot.setParent(this);\\n\\n //DJ 09/22/2014\\n final int numberOfSeries = xyplot.getSeriesCount();\\n //System.out.println(\\\"number-of-series = \\\" + numberOfSeries);\\n\\n /*\\n System.out.println(\\\"range up limit = \\\" + xyplot.getRangeAxis().getRange().getUpperBound());\\n System.out.println(\\\"range down limit = \\\" + xyplot.getRangeAxis().getRange().getLowerBound());\\n System.out.println(\\\"domain up limit = \\\" + xyplot.getDomainAxis().getRange().getUpperBound());\\n System.out.println(\\\"domain down limit = \\\" + xyplot.getDomainAxis().getRange().getLowerBound());\\n */\\n // Generate the layout.\\n //chartpanel = new MimsChartPanel(chart);\\n chartpanel = new MimsChartPanel(chart);\\n chartpanel.addMouseListener(this);\\n chartpanel.setPreferredSize(new java.awt.Dimension(600, 400));\\n String lastFolder = ui.getLastFolder();\\n if (lastFolder != null) {\\n if (new File(lastFolder).exists()) {\\n chartpanel.setDefaultDirectoryForSaveAs(new File(lastFolder));\\n }\\n }\\n this.add(chartpanel);\\n\\n chartpanel.setNumberOfSeries(numberOfSeries);\\n\\n // DJ: 09/22/2014\\n // Add menu item for thikining or the plot lines\\n // increase lines thikness\\n JMenuItem incresaseLinesThikness = new JMenuItem(\\\"Increase Lines Thickness\\\");\\n incresaseLinesThikness.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n //DJ\\n\\n lineThikness = chartpanel.getLineThikness();\\n\\n if (chartpanel.setLineThikness(lineThikness + 0.5f)) {\\n lineThikness = chartpanel.getLineThikness();\\n //if (lineThikness + 1.0f <= maxThikness) {\\n // lineThikness += 1.0f;\\n\\n BasicStroke stroke = new BasicStroke(lineThikness);\\n Plot plot = chart.getXYPlot();\\n\\n if (plot instanceof CategoryPlot) {\\n CategoryPlot categoryPlot = chart.getCategoryPlot();\\n CategoryItemRenderer cir = categoryPlot.getRenderer();\\n try {\\n for (int i = 0; i < numberOfSeries; i++) {\\n cir.setSeriesStroke(i, stroke); //series line style\\n }\\n } catch (Exception ex) {\\n System.err.println(ex);\\n }\\n } else if (plot instanceof XYPlot) {\\n\\n XYPlot xyPlot = chart.getXYPlot();\\n XYItemRenderer xyir = xyPlot.getRenderer();\\n try {\\n for (int i = 0; i < numberOfSeries; i++) {\\n xyir.setSeriesStroke(i, stroke); //series line style\\n }\\n } catch (Exception ex) {\\n System.err.println(ex);\\n }\\n }\\n }\\n }\\n });\\n\\n // increase lines thikness\\n JMenuItem decreaseLinesThikness = new JMenuItem(\\\"Decrease Lines Thickness\\\");\\n decreaseLinesThikness.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n //DJ\\n lineThikness = chartpanel.getLineThikness();\\n\\n if (chartpanel.setLineThikness(lineThikness - 0.5f)) {\\n lineThikness = chartpanel.getLineThikness();\\n //if (lineThikness - 1.0f >= minThikness) {\\n // lineThikness -= 1.0f;\\n\\n BasicStroke stroke = new BasicStroke(lineThikness);\\n Plot plot = chart.getXYPlot();\\n\\n if (plot instanceof CategoryPlot) {\\n CategoryPlot categoryPlot = chart.getCategoryPlot();\\n CategoryItemRenderer cir = categoryPlot.getRenderer();\\n try {\\n for (int i = 0; i < numberOfSeries; i++) {\\n cir.setSeriesStroke(i, stroke); //series line style\\n }\\n } catch (Exception ex) {\\n System.err.println(ex);\\n }\\n } else if (plot instanceof XYPlot) {\\n\\n XYPlot xyPlot = chart.getXYPlot();\\n XYItemRenderer xyir = xyPlot.getRenderer();\\n try {\\n for (int i = 0; i < numberOfSeries; i++) {\\n xyir.setSeriesStroke(i, stroke); //series line style\\n }\\n } catch (Exception ex) {\\n System.err.println(ex);\\n }\\n }\\n }\\n }\\n });\\n\\n chartpanel.getPopupMenu().addSeparator();\\n chartpanel.getPopupMenu().add(incresaseLinesThikness);\\n chartpanel.getPopupMenu().add(decreaseLinesThikness);\\n\\n JMenu changePlotColor = new JMenu(\\\"Change Plot Color\\\");\\n final JMenuItem black = new JMenuItem(\\\"BLACK\\\");\\n final JMenuItem blue = new JMenuItem(\\\"BLUE\\\");\\n final JMenuItem grey = new JMenuItem(\\\"GRAY\\\");\\n final JMenuItem green = new JMenuItem(\\\"GREEN\\\");\\n final JMenuItem red = new JMenuItem(\\\"RED\\\");\\n final JMenuItem yellow = new JMenuItem(\\\"YELLOW\\\");\\n final JMenuItem purple = new JMenuItem(\\\"PURPLE\\\");\\n final JMenuItem brown = new JMenuItem(\\\"BROWN\\\");\\n final JMenuItem orange = new JMenuItem(\\\"ORANGE\\\");\\n final JMenuItem darkGreen = new JMenuItem(\\\"DARK GREEN\\\");\\n final JMenuItem lightBlue = new JMenuItem(\\\"LIGHT BLUE\\\");\\n\\n black.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n KeyEvent ev = new KeyEvent(black.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 97, 'a');\\n chartpanel.keyPressed(ev);\\n }\\n });\\n blue.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n KeyEvent ev = new KeyEvent(blue.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 98, 'b');\\n chartpanel.keyPressed(ev);\\n }\\n });\\n grey.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n KeyEvent ev = new KeyEvent(grey.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 101, 'e');\\n chartpanel.keyPressed(ev);\\n }\\n });\\n green.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n KeyEvent ev = new KeyEvent(green.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 103, 'g');\\n chartpanel.keyPressed(ev);\\n }\\n });\\n red.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n KeyEvent ev = new KeyEvent(red.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 114, 'r');\\n chartpanel.keyPressed(ev);\\n }\\n });\\n yellow.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n KeyEvent ev = new KeyEvent(yellow.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 121, 'y');\\n chartpanel.keyPressed(ev);\\n }\\n });\\n purple.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n KeyEvent ev = new KeyEvent(purple.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 112, 'p');\\n chartpanel.keyPressed(ev);\\n }\\n });\\n brown.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n KeyEvent ev = new KeyEvent(brown.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 119, 'w');\\n chartpanel.keyPressed(ev);\\n }\\n });\\n orange.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n KeyEvent ev = new KeyEvent(orange.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 111, 'o');\\n chartpanel.keyPressed(ev);\\n }\\n });\\n darkGreen.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n KeyEvent ev = new KeyEvent(darkGreen.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 100, 'd');\\n chartpanel.keyPressed(ev);\\n }\\n });\\n lightBlue.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n KeyEvent ev = new KeyEvent(lightBlue.getComponent(), e.getID(), e.getWhen(), e.getModifiers(), 108, 'l');\\n chartpanel.keyPressed(ev);\\n }\\n });\\n\\n changePlotColor.add(black);\\n changePlotColor.add(blue);\\n changePlotColor.add(grey);\\n changePlotColor.add(green);\\n changePlotColor.add(red);\\n changePlotColor.add(yellow);\\n changePlotColor.add(purple);\\n changePlotColor.add(brown);\\n changePlotColor.add(orange);\\n changePlotColor.add(darkGreen);\\n changePlotColor.add(lightBlue);\\n\\n chartpanel.getPopupMenu().add(changePlotColor);\\n\\n // Add menu item for showing/hiding crosshairs.\\n JMenuItem xhairs = new JMenuItem(\\\"Show/Hide Crosshairs\\\");\\n xhairs.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n showHideCrossHairs(chartpanel);\\n }\\n });\\n chartpanel.getPopupMenu().addSeparator();\\n chartpanel.getPopupMenu().add(xhairs);\\n // Add menu item for showing/hiding crosshairs.\\n JMenuItem pointhairs = new JMenuItem(\\\"Add point roi at crosshairs\\\");\\n pointhairs.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n if (pointX > 0 && pointY > 0) {\\n ui.getRoiManager().add(new PointRoi(pointX, pointY));\\n ui.updateAllImages();\\n }\\n }\\n });\\n chartpanel.getPopupMenu().add(pointhairs);\\n // Add menu item for toggling between linear and log scales.\\n JMenuItem logscale = new JMenuItem(\\\"Log/Linear scale\\\");\\n logscale.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n MimsJFreeChart.logLinScale(chartpanel);\\n }\\n });\\n chartpanel.getPopupMenu().add(logscale);\\n\\n // Add menu item for exporting plot to report.\\n /*JMenuItem genreport = new JMenuItem(\\\"Generate Report\\\");\\n genreport.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n generateReport();\\n }\\n });\\n chartpanel.getPopupMenu().add(genreport);*/\\n JMenuItem libreoffice = new JMenuItem(\\\"Add to Libreoffice\\\");\\n libreoffice.addActionListener(new java.awt.event.ActionListener() {\\n public void actionPerformed(java.awt.event.ActionEvent evt) {\\n mimsUno.insertGraph(getImage(), \\\"test\\\", \\\"test\\\", \\\"test\\\");\\n }\\n });\\n chartpanel.getPopupMenu().add(libreoffice);\\n\\n // Replace Save As... menu item.\\n chartpanel.getPopupMenu().remove(3);\\n JMenuItem saveas = new JMenuItem(\\\"Save as...\\\");\\n saveas.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n saveAs();\\n }\\n });\\n chartpanel.getPopupMenu().add(saveas, 3);\\n\\n // Add an option for getting the underlying data\\n JMenuItem asTextMenuItem = new javax.swing.JMenuItem(\\\"Display text\\\");\\n asTextMenuItem.addActionListener(new ActionListener() {\\n public void actionPerformed(ActionEvent e) {\\n displayProfileData();\\n }\\n });\\n chartpanel.getPopupMenu().add(asTextMenuItem, 2);\\n\\n // Add key listener.\\n KeyboardFocusManager.getCurrentKeyboardFocusManager().addKeyEventDispatcher(new KeyEventDispatcher() {\\n public boolean dispatchKeyEvent(KeyEvent e) {\\n if (e.getID() == KeyEvent.KEY_PRESSED && thisHasFocus()) {\\n chartpanel.keyPressed(e);\\n }\\n return false;\\n }\\n });\\n\\n pack();\\n setVisible(true);\\n\\n }\\n }\",\n \"private void formData(final String label, final int datasetIndex, final int year, final int month, final int day, final LinkedHashMap<Long,Double> data)\\n {\\n if (thread != null)\\n thread.interrupt();\\n chart.clearValues();\\n if(day==0)\\n {\\n chart.getXAxis().setValueFormatter(new ValueFormatter() {\\n @Override\\n public String getFormattedValue(float value)\\n {\\n String days[] =getResources().getStringArray(R.array.days);\\n int day = (int) value % days.length;\\n if(day<0)\\n return \\\"\\\";\\n else\\n return days[day];\\n }\\n });\\n thread = new Thread(new Runnable()\\n {\\n\\n @Override\\n public void run()\\n {\\n Double[] daysSumArray = {0.0,0.0 ,0.0 ,0.0 ,0.0 ,0.0 ,0.0 };\\n SortedSet<Long> keys = new TreeSet<>(data.keySet());\\n for (Long key : keys)\\n {\\n Double value = data.get(key);\\n Date date = new Date(key);\\n int day_to_show = getDayNumber(date); //days start at 1 which is SUN\\n int year_to_show = getYearNumber(date);\\n int month_to_show = getMonthNumber(date)+1; //months start ta 0 which is JAN\\n\\n\\n /* YEAR | MONTH | DAY || GRAPH FILTER\\n ----------------------------------------------------\\n all | all | all || days\\n ----------------------------------------------------\\n 2020 | all | all || days->2020\\n ----------------------------------------------------\\n 2020 | jan | all || days->2020->jan\\n ----------------------------------------------------\\n all | jan | all || days->jan*/\\n if(month==0 && year==0)\\n daysSumArray[day_to_show-1] += value;\\n else if(month==0 && year>0)\\n {\\n //days->2020\\n if(year_to_show==year)\\n daysSumArray[day_to_show-1] += value;\\n }\\n else if(month>0 && year>0)\\n {\\n //days->2020->jan\\n if(year_to_show==year && month_to_show == month)\\n daysSumArray[day_to_show-1] += value;\\n }\\n else if(month>0 && year==0)\\n {\\n //days->jan\\n if(month_to_show == month)\\n daysSumArray[day_to_show-1] += value;\\n }\\n\\n\\n }\\n for(int c=0; c<=6; c++)\\n getActivity().runOnUiThread(new OneShotTask(label, datasetIndex,(long)c+1,daysSumArray[c]));\\n\\n }\\n });\\n\\n thread.start();\\n }\\n else if( day >0 && day <8)\\n {\\n chart.getXAxis().setValueFormatter(new ValueFormatter() {\\n @Override\\n public String getFormattedValue(float value)\\n {\\n String hours[] =getResources().getStringArray(R.array.hours_24);\\n int hour = (int) value % hours.length;\\n if(hour<0)\\n return \\\"\\\";\\n else\\n return hours[hour];\\n }\\n });\\n thread = new Thread(new Runnable()\\n {\\n\\n @Override\\n public void run()\\n {\\n\\n Double[] hoursSumArray = {0.0,0.0 ,0.0 ,0.0 ,0.0 ,0.0 ,0.0, 0.0, 0.0, 0.0, 0.0, 0.0,0.0,0.0 ,0.0 ,0.0 ,0.0 ,0.0 ,0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };\\n SortedSet<Long> keys = new TreeSet<>(data.keySet());\\n for (Long key : keys)\\n {\\n Double value = data.get(key);\\n Date date = new Date(key);\\n int day_to_show = getDayNumber(date); //days start at 1 which is SUN\\n int year_to_show = getYearNumber(date);\\n int month_to_show = getMonthNumber(date)+1; //months start ta 0 which is JAN\\n int hour_of_day = getHourNumber(date);\\n\\n\\n /* YEAR | MONTH | DAY || GRAPH FILTER\\n ----------------------------------------------------\\n 2020 | jan | mon || hours->2020->jan->mon\\n ----------------------------------------------------\\n all | jan | mon || hours->jan->mon\\n ----------------------------------------------------\\n all | all | mon || hours->mon\\n ----------------------------------------------------\\n 2020 | all | mon || hours->2020->mon\\n ----------------------------------------------------\\n */\\n if(month>0 && year>0 && day_to_show == day)\\n {\\n if(year_to_show==year && month_to_show == month)\\n hoursSumArray[hour_of_day]+=value;\\n }\\n else if(month>0 && year==0 && day_to_show == day)\\n {\\n if(month_to_show == month)\\n hoursSumArray[hour_of_day]+=value;\\n }\\n\\n else if(month==0 && year==0 && day_to_show == day)\\n hoursSumArray[hour_of_day]+=value;\\n else if(month==0 && year>0 && day_to_show == day)\\n {\\n //days->2020\\n if(year_to_show==year)\\n hoursSumArray[hour_of_day]+=value;\\n }\\n\\n }\\n for(int c=0; c<=23; c++)\\n getActivity().runOnUiThread(new OneShotTask(label, datasetIndex,(long)c,hoursSumArray[c]));\\n\\n\\n }\\n });\\n\\n thread.start();\\n\\n\\n }\\n else if( day == 8 && month !=13)\\n {\\n chart.getXAxis().setValueFormatter(new ValueFormatter() {\\n @Override\\n public String getFormattedValue(float value)\\n {\\n String months[] =getResources().getStringArray(R.array.months);\\n int month = (int) value % months.length;\\n if(month<0)\\n return \\\"\\\";\\n else\\n return months[month];\\n }\\n });\\n thread = new Thread(new Runnable() {\\n\\n @Override\\n public void run()\\n {\\n Double monthsSumArray[] = {0.0,0.0 ,0.0 ,0.0 ,0.0 ,0.0 ,0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };\\n SortedSet<Long> keys = new TreeSet<>(data.keySet());\\n for (Long key : keys)\\n {\\n Double value = data.get(key);\\n Date date = new Date(key);\\n int day_to_show = getDayNumber(date); //days start at 1 which is SUN\\n int year_to_show = getYearNumber(date);\\n int month_to_show = getMonthNumber(date)+1; //months start ta 0 which is JAN\\n\\n /* YEAR | MONTH | DAY || GRAPH FILTER\\n ----------------------------------------------------\\n all | all | hide || months\\n ----------------------------------------------------\\n all | jan | hide || months->jan\\n ----------------------------------------------------\\n 2020 | jan | hide || months->jan->2020\\n ----------------------------------------------------\\n */\\n if(month==0 && year==0)\\n monthsSumArray[month_to_show-1] += value;\\n else if(month>0 && year==0 && month==month_to_show)\\n monthsSumArray[month_to_show-1] += value;\\n else if(month>0 && year>0 && month==month_to_show)\\n monthsSumArray[month_to_show-1] += value;\\n\\n\\n }\\n for(int c=0; c<=11; c++)\\n getActivity().runOnUiThread(new OneShotTask(label, datasetIndex,(long)c+1,monthsSumArray[c]));\\n\\n }\\n });\\n thread.start();\\n }\\n else if(day==8 && month==13)\\n {\\n /* YEAR | MONTH | DAY || GRAPH FILTER\\n ----------------------------------------------------\\n all | hide | hide || years\\n ----------------------------------------------------\\n */\\n chart.getXAxis().setValueFormatter(new ValueFormatter() {\\n @Override\\n public String getFormattedValue(float value)\\n {\\n return String.valueOf((int)value);\\n }\\n });\\n thread = new Thread(new Runnable() {\\n\\n @Override\\n public void run()\\n {\\n //REMEBER TO UPDATE STRING ARRAY FOR YEARS IN arrays.xml\\n Double yearsSumArray[] = {0.0,0.0 };\\n LinkedHashMap<Integer,Double > data_years = new LinkedHashMap<>();\\n SortedSet<Long> keys = new TreeSet<>(data.keySet());\\n for (Long key : keys)\\n {\\n Double value = data_years.get(key);\\n Date date = new Date(key);\\n int year = getYearNumber(date);\\n if(data_years.get(year) == null)\\n data_years.put(year,value);\\n else\\n data_years.put(year,data_years.get(year)+value);\\n\\n }\\n Iterator iterator = data_years.entrySet().iterator();\\n while (iterator.hasNext())\\n {\\n LinkedHashMap.Entry<Integer, Double>set = (LinkedHashMap.Entry<Integer, Double>) iterator.next();\\n getActivity().runOnUiThread(new OneShotTask(label, datasetIndex,(long)set.getKey(),set.getValue()));\\n }\\n\\n }\\n });\\n thread.start();\\n }\\n\\n /*else if(monthly)\\n {\\n\\n }\\n else if(yearly)\\n {\\n\\n }*/\\n }\",\n \"public RenkoIndicator(TimeSeries series) {\\r\\n\\t\\tsuper(series);\\r\\n\\t\\tthis.series = series;\\r\\n\\t}\",\n \"public static void show(int[] kd){\\n final int NUM_OF_LINES = 5;\\n\\n Line[] lines = new Line[NUM_OF_LINES];\\n\\n //gives each array element the necessary memory\\n for(int i = 0; i < NUM_OF_LINES; i++){\\n lines[i] = new Line();\\n }\\n\\n //in order to print\\n lines[0].setLine(4,0,0);\\n lines[1].setLine(3,1,2);\\n lines[2].setLine(2,3,5);\\n lines[3].setLine(1,6,9);\\n lines[4].setLine(0,10,14);\\n\\n for(int i = 0; i < NUM_OF_LINES; i++){\\n String tab = \\\"\\\";\\n\\n //creates the 'tab' effect based on position\\n for(int j = 0; j < lines[i].getT(); j++){\\n tab += \\\" \\\";\\n }\\n System.out.print(tab);\\n\\n for(int j = lines[i].getA(); j < lines[i].getB() + 1; j++){\\n if(kd[j] == 0){\\n System.out.print(\\\". \\\");\\n }\\n else{\\n System.out.print(\\\"x \\\");\\n }\\n }\\n System.out.println();\\n }\\n\\n }\",\n \"private void setDayLabel() {\\n dayFormat = new SimpleDateFormat(\\\"EEEE\\\");\\n dayLabel = new JLabel();\\n dayLabel.setFont(new Font(\\\"JetBrains Mono\\\", Font.BOLD, 40));\\n dayLabel.setForeground(new Color(0x00FFFF));\\n dayLabel.setBackground(Color.black);\\n dayLabel.setOpaque(true);\\n add(dayLabel);\\n }\",\n \"@Test\\n public void test08() throws Throwable {\\n CategoryPlot categoryPlot0 = new CategoryPlot();\\n categoryPlot0.clearDomainMarkers(44);\\n BasicStroke basicStroke0 = (BasicStroke)categoryPlot0.getRangeGridlineStroke();\\n ValueAxis[] valueAxisArray0 = new ValueAxis[6];\\n ThermometerPlot thermometerPlot0 = new ThermometerPlot();\\n NumberAxis numberAxis0 = (NumberAxis)thermometerPlot0.getRangeAxis();\\n valueAxisArray0[0] = (ValueAxis) numberAxis0;\\n LogarithmicAxis logarithmicAxis0 = new LogarithmicAxis(\\\"Null 'marker' not permitted.\\\");\\n valueAxisArray0[1] = (ValueAxis) logarithmicAxis0;\\n LogAxis logAxis0 = new LogAxis();\\n valueAxisArray0[2] = (ValueAxis) logAxis0;\\n CyclicNumberAxis cyclicNumberAxis0 = new CyclicNumberAxis(0.0, \\\"o>v!{PNMe{\\\");\\n valueAxisArray0[3] = (ValueAxis) cyclicNumberAxis0;\\n NumberAxis3D numberAxis3D0 = new NumberAxis3D(\\\"Null 'marker' not permitted.\\\");\\n valueAxisArray0[4] = (ValueAxis) numberAxis3D0;\\n NumberAxis numberAxis1 = (NumberAxis)thermometerPlot0.getRangeAxis();\\n valueAxisArray0[5] = (ValueAxis) numberAxis1;\\n XYPlot xYPlot0 = new XYPlot();\\n RectangleInsets rectangleInsets0 = xYPlot0.getAxisOffset();\\n cyclicNumberAxis0.setTickLabelInsets(rectangleInsets0);\\n categoryPlot0.setRangeAxes(valueAxisArray0);\\n categoryPlot0.setRangeCrosshairValue(3583.22971, false);\\n LegendItemCollection legendItemCollection0 = categoryPlot0.getFixedLegendItems();\\n float[] floatArray0 = new float[2];\\n floatArray0[0] = (float) 44;\\n floatArray0[1] = (float) 44;\\n Font font0 = AbstractRenderer.DEFAULT_VALUE_LABEL_FONT;\\n }\",\n \"private void setupDateTimeInterpreter(final boolean shortDate) {\\r\\n calendarView.setDateTimeInterpreter(new DateTimeInterpreter() {\\r\\n @Override\\r\\n public String interpretDate(Calendar date) {\\r\\n SimpleDateFormat weekdayNameFormat = new SimpleDateFormat(\\\"EEE\\\", Locale.getDefault());\\r\\n String weekday = weekdayNameFormat.format(date.getTime());\\r\\n SimpleDateFormat format = new SimpleDateFormat(\\\" M/d\\\", Locale.getDefault());\\r\\n\\r\\n // All android api level do not have a standard way of getting the first letter of\\r\\n // the week day name. Hence we get the first char programmatically.\\r\\n // Details: http://stackoverflow.com/questions/16959502/get-one-letter-abbreviation-of-week-day-of-a-date-in-java#answer-16959657\\r\\n if (shortDate)\\r\\n weekday = String.valueOf(weekday.charAt(0));\\r\\n return weekday.toUpperCase() + format.format(date.getTime());\\r\\n }\\r\\n\\r\\n @Override\\r\\n public String interpretTime(int hour) {\\r\\n return hour > 11 ? (hour - 12) + \\\" PM\\\" : (hour == 0 ? \\\"12 AM\\\" : hour + \\\" AM\\\");\\r\\n }\\r\\n });\\r\\n }\",\n \"public ICareDailyDietChart(String mDate, String mTime, String mFoodMenu,\\n\\t\\t\\tString mEventName, String mAlarm, String mProfile) {\\n\\t\\tthis.mDate = mDate;\\n\\t\\tthis.mTime = mTime;\\n\\t\\tthis.mEventName = mEventName;\\n\\t\\tthis.mFoodMenu = mFoodMenu;\\n\\t\\tthis.mAlarm = mAlarm;\\n\\t\\tthis.mProfileId = mProfile;\\n\\t}\",\n \"public final native double setDate(int dayOfMonth) /*-{\\n this.setDate(dayOfMonth);\\n return this.getTime();\\n }-*/;\",\n \"public TrendVolatilityLineIndicator(Indicator<? extends MultipleMovingAverage> mmaIndicator, int index, TADecimal entry) {\\n if (mmaIndicator == null) {\\n throw new IllegalArgumentException(\\\"Supplied input Indicator is invalid: NULL\\\");\\n }\\n if (entry == null) {\\n throw new IllegalArgumentException(\\\"Supplied input TADecimal entry is invalid: NULL\\\");\\n }\\n this.sustainability = Sustainability.UNKNOWN;\\n this.mmaIndicator = mmaIndicator;\\n this.entry = entry;\\n this.tvls = new ArrayList<>();\\n tvls.add(entry);\\n }\",\n \"@RequiresApi(api = Build.VERSION_CODES.O)\\n public void createNewLineChart() {\\n\\n ArrayList<Entry> yValues = new ArrayList<>();\\n yValues.clear();\\n\\n //Todays Date\\n Date date = new Date();\\n LocalDate localDate = date.toInstant().atZone(ZoneId.systemDefault()).toLocalDate();\\n// String currentMonth = getMonthForInt(localDate.getMonthValue());\\n if (monthSelectedAsInt > localDate.getMonthValue()){\\n yValues.add(new Entry(0, 0));\\n } else if (monthSelectedAsInt == localDate.getMonthValue()){\\n for (int i = 1; i <= localDate.getDayOfMonth() ; i++) {\\n yValues.add(new Entry(i, occupancyRate[i]));\\n }\\n } else {\\n for (int i = 1; i <= numberOfDays ; i++) {\\n yValues.add(new Entry(i, occupancyRate[i]));\\n }\\n }\\n\\n //chart.setOnChartValueSelectedListener(this);\\n\\n // enable scaling and dragging\\n chart.setDragEnabled(true);\\n chart.setScaleEnabled(true);\\n\\n // if disabled, scaling can be done on x- and y-axis separately\\n chart.setPinchZoom(false);\\n\\n LineDataSet set1;\\n\\n set1 = new LineDataSet(yValues, \\\"Occupany Rate \\\");\\n set1.setDrawCircles(false);\\n set1.setDrawValues(false);\\n set1.setColor(Color.RED);\\n\\n ArrayList <ILineDataSet> dataSets = new ArrayList<>();\\n dataSets.add(set1);\\n LineData dataLine = new LineData(set1);\\n chart.getDescription().setEnabled(false);\\n chart.getXAxis().setTextSize(10f);\\n chart.getXAxis().setPosition(XAxis.XAxisPosition.BOTTOM);\\n\\n chart.getAxisLeft().setAxisMinimum(0);\\n chart.getAxisLeft().setAxisMaximum(100);\\n chart.getAxisRight().setAxisMinimum(0);\\n chart.getAxisRight().setAxisMaximum(100);\\n chart.getXAxis().setAxisMinimum(1);\\n chart.getXAxis().setAxisMaximum(numberOfDays);\\n\\n chart.setData(dataLine);\\n chart.invalidate();\\n }\",\n \"private XYChart.Series<Number, Number> getTenSeries() {\\n //Create new series\\n XYChart.Series<Number, Number> series = new XYChart.Series<>();\\n series.setName(\\\"Chemical Concentration\\\");\\n Random rand = new Random();\\n int c = 5; // Constant for x-axis scale\\n for (int i = 0; i < 17; i++) {\\n int y = rand.nextInt() % 3 + 2;\\n series.getData().add(new XYChart.Data<>(i*5, y));\\n }\\n series.getData().add(new XYChart.Data<>(17 * c, 4));\\n series.getData().add(new XYChart.Data<>(18 * c, 5));\\n series.getData().add(new XYChart.Data<>(19 * c-2,8));\\n series.getData().add(new XYChart.Data<>(19 * c, 10));\\n series.getData().add(new XYChart.Data<>(19 * c+2,8));\\n series.getData().add(new XYChart.Data<>(20 * c, 6));\\n series.getData().add(new XYChart.Data<>(21 * c, 4));\\n\\n for (int i = 22; i < 30; i++) {\\n int y = rand.nextInt() % 3 + 2;\\n series.getData().add(new XYChart.Data<>(i*5, y));\\n }\\n return series;\\n }\",\n \"public void figure() {\\r\\n Currency nAdv = Currency.Zero;\\r\\n Currency nLow = Currency.NegativeOne;\\r\\n Currency nHigh = Currency.Zero;\\r\\n Currency nTotal = Currency.Zero;\\r\\n \\r\\n for(int i = 0; i < dayArray.size(); i++) {\\r\\n DayG dayG = (DayG) dayArray.get(i);\\r\\n Currency gross = dayG.getGross();\\r\\n \\r\\n nAdv = nAdv.add(gross);\\r\\n nTotal = nTotal.add(gross);\\r\\n if(nLow == Currency.NegativeOne || gross.lt(nLow)) {\\r\\n lowD = dayG;\\r\\n nLow = gross;\\r\\n }\\r\\n if(nHigh.lt(gross)) {\\r\\n highD = dayG;\\r\\n nHigh = gross;\\r\\n }\\r\\n }\\r\\n \\r\\n adverage = nAdv.divide(dayArray.size()).round();\\r\\n low = nLow.round();\\r\\n high = nHigh.round();\\r\\n \\r\\n //no need to round total, right?\\r\\n total = nTotal;\\r\\n }\",\n \"public void addDailyReport(GregorianCalendar date, LinkedList<Reading> readings){\\r\\n LinkedList<Double> loRainfall = new LinkedList<>();\\r\\n LinkedList<Double> loTemp = new LinkedList<>();\\r\\n for(Reading read : readings)\\r\\n loRainfall.add(read.getRainfall());\\r\\n for(Reading read : readings)\\r\\n loTemp.add(read.getTemp());\\r\\n dailyReports.add(new DailyWeatherReport(date, loTemp, loRainfall));\\r\\n }\",\n \"public String considerDiet() {\\n if (diet.equals(\\\"carnivore\\\")) {\\n printedDailyCarbon = allowedCarbonPerDay * 1;\\n } else if (diet.equals(\\\"pescetarian\\\")) {\\n printedDailyCarbon = allowedCarbonPerDay * 0.65;\\n } else if (diet.equals(\\\"vegetarian\\\")) {\\n printedDailyCarbon = allowedCarbonPerDay * 0.5;\\n } else if (diet.equals(\\\"vegan\\\")) {\\n printedDailyCarbon = ((double) allowedCarbonPerDay / (double) 6) * (double) 2;\\n }\\n String formattedDailyCarbonFigure = String.format(\\\"%.2f\\\", printedDailyCarbon);\\n return formattedDailyCarbonFigure;\\n }\",\n \"public void setMday(int value) {\\n this.mday = value;\\n }\",\n \"private void displayNonSedData(JSONObject[] jsonObjects) {\\r\\n final SharedPreferences sharedPref = getSharedPreferences(getString(R.string.pref_file_key),\\r\\n Context.MODE_PRIVATE);\\r\\n\\r\\n int[] stepsPerHour = new int[24];\\r\\n try {\\r\\n // Calculate steps per hour\\r\\n JSONArray jsonArray = jsonObjects[0].getJSONObject(\\\"activities-steps-intraday\\\")\\r\\n .getJSONArray(\\\"dataset\\\");\\r\\n\\r\\n int steps = 0, interval = 0, hour = 0;\\r\\n for(int i = 0; i < jsonArray.length(); i++) {\\r\\n // Step data is requested in 15 minute intervals so we add up the steps\\r\\n // in every four values to get the total for each hour\\r\\n steps += Integer.parseInt(jsonArray.getJSONObject(i).getString(\\\"value\\\"));\\r\\n interval++;\\r\\n if(interval == 4) {// we have reached the end of the hour\\r\\n stepsPerHour[hour] = steps;\\r\\n\\r\\n interval = 0;\\r\\n steps = 0;\\r\\n hour++;\\r\\n }\\r\\n }\\r\\n } catch(JSONException | NullPointerException e) {\\r\\n fitbitRequestError();\\r\\n return;\\r\\n }\\r\\n\\r\\n BarChart chart = findViewById(R.id.chart);\\r\\n\\r\\n ArrayList<BarEntry> entries = new ArrayList<>();\\r\\n int[] barColours = new int[24];\\r\\n\\r\\n // Get non-sedentary hours goal and step threshold for an hour to be non-sedentary\\r\\n int stepThreshold;\\r\\n int nonSedHoursGoal = sharedPref.getInt(getString(R.string.non_sed_goal_key), 0);\\r\\n if(nonSedHoursGoal == 0) {\\r\\n stepThreshold = 0;\\r\\n } else {\\r\\n stepThreshold = getResources().getInteger(R.integer.steps_threshold);\\r\\n }\\r\\n\\r\\n // For each hour in the day create a bar showing the data\\r\\n // If there is no data create a bar with value 0 so the hour is still shown on the graph\\r\\n for (int i = 0; i < 24; i++) {\\r\\n float yValue = (float) stepsPerHour[i];\\r\\n\\r\\n entries.add(new BarEntry((float) i, yValue));\\r\\n\\r\\n barColours[i] = getResources().getColor(getProgressColour((int) yValue, stepThreshold));\\r\\n }\\r\\n\\r\\n // Show data on chart\\r\\n BarDataSet dataSet = new BarDataSet(entries, \\\"\\\");\\r\\n dataSet.setColors(barColours);\\r\\n dataSet.setDrawValues(false);\\r\\n BarData barData = new BarData(dataSet);\\r\\n\\r\\n chart.setData(barData);\\r\\n chart.invalidate();\\r\\n\\r\\n // Show non-sedentary goal\\r\\n TextView textViewSummary = findViewById(R.id.tv_goal_summary);\\r\\n if(nonSedHoursGoal > 0) {\\r\\n textViewSummary.setText(getResources().getString(R.string.goal_hours_steps,\\r\\n nonSedHoursGoal, stepThreshold));\\r\\n } else {\\r\\n textViewSummary.setText(getResources().getString(R.string.no_goal_set));\\r\\n }\\r\\n }\",\n \"@Override\\n\\tpublic double getCarbon() {\\n\\t\\treturn 0;\\n\\t}\",\n \"public void addDailyReport(GregorianCalendar date, LinkedList<Reading> readings) {\\n\\t\\tLinkedList<Double> temps = new LinkedList<Double>();\\n\\t\\tLinkedList<Double> rains = new LinkedList<Double>();\\n\\t\\tfor(Reading reading: readings) {\\n\\t\\t\\ttemps.add(reading.getTemp());\\n\\t\\t\\trains.add(reading.getRainfall());\\n\\t\\t}\\n\\t\\treports.addReport(new DailyWeatherReport(date, temps, rains));\\n\\t}\",\n \"public void editChart(Integer day, boolean available) {\\n chart.replace(day, available);\\n }\",\n \"public abstract int getDy();\",\n \"public void drawChart() {\\n ArrayList<Entry> confuse = new ArrayList<>();\\n ArrayList<Entry> attention = new ArrayList<>();\\n ArrayList<Entry> engagement = new ArrayList<>();\\n ArrayList<Entry> joy = new ArrayList<>();\\n ArrayList<Entry> valence = new ArrayList<>();\\n // point = \\\"Brow Furrow: \\\\n\\\";\\n String dum = null, dum2 = null;\\n for (int i = 0; i < size; i++) {\\n //point += (\\\"\\\" + Emotion.getBrowFurrow(i).getL() + \\\" seconds reading of \\\" + Emotion.getBrowFurrow(i).getR() + \\\"\\\\n\\\");\\n dum2 = Emotion.getBrowFurrow(i).getL().toString();\\n dum = Emotion.getBrowFurrow(i).getR().toString();\\n confuse.add(new Entry((float)Double.parseDouble(dum2), Float.parseFloat(dum)));\\n dum2 = Emotion.getAttention(i).getL().toString();\\n dum = Emotion.getAttention(i).getR().toString();\\n attention.add(new Entry((float)Double.parseDouble(dum2), Float.parseFloat(dum)));\\n dum2 = Emotion.getEngagement(i).getL().toString();\\n dum = Emotion.getEngagement(i).getR().toString();\\n engagement.add(new Entry((float)Double.parseDouble(dum2), Float.parseFloat(dum)));\\n dum2 = Emotion.getJoy(i).getL().toString();\\n dum = Emotion.getJoy(i).getR().toString();\\n joy.add(new Entry((float)Double.parseDouble(dum2), Float.parseFloat(dum)));\\n dum2 = Emotion.getValence(i).getL().toString();\\n dum = Emotion.getValence(i).getR().toString();\\n valence.add(new Entry((float)Double.parseDouble(dum2), Float.parseFloat(dum)));\\n }\\n\\n LineDataSet data1 = new LineDataSet(confuse,\\\"Confuse\\\");\\n LineDataSet data2 = new LineDataSet(attention,\\\"Attention\\\");\\n LineDataSet data3 = new LineDataSet(engagement,\\\"Engagement\\\");\\n LineDataSet data4 = new LineDataSet(joy,\\\"Engagement\\\");\\n LineDataSet data5 = new LineDataSet(valence,\\\"Valence\\\");\\n data1.setColor(Color.BLUE);\\n data1.setDrawCircles(false);\\n data2.setColor(Color.YELLOW);\\n data2.setDrawCircles(false);\\n data3.setColor(Color.GRAY);\\n data3.setDrawCircles(false);\\n data4.setColor(Color.MAGENTA);\\n data4.setDrawCircles(false);\\n data5.setColor(Color.GREEN);\\n data5.setDrawCircles(false);\\n\\n\\n dataSets.add(data1);\\n dataSets.add(data2);\\n dataSets.add(data3);\\n dataSets.add(data4);\\n dataSets.add(data5);\\n }\",\n \"public Double getDy();\",\n \"public void setDay(final short day) {\\r\\n\\t\\tthis.day = day;\\r\\n\\t}\",\n \"private void printDays() {\\n for (int dayOfMonth = 1; dayOfMonth <= daysInMonth; ) {\\n for (int j = ((dayOfMonth == 1) ? dayOfWeek - 1 : 0); j < 7 && (dayOfMonth <= daysInMonth); j++) {\\n if (this.isDateChosen == true && date.getDate() == dayOfMonth) {\\n String space = date.getDate() >= 10 ? \\\" \\\" : \\\" \\\";\\n System.out.print(space + ANSI_GREEN + dayOfMonth + ANSI_RESET + \\\" \\\");\\n } else {\\n System.out.printf(\\\"%4d \\\", dayOfMonth);\\n }\\n dayOfMonth++;\\n }\\n System.out.println();\\n }\\n }\",\n \"public Daisy(double stemLength, Date dateOfDelivery, DaisyColor color) {\\n super(\\\"Daisy\\\", stemLength, dateOfDelivery, 0);\\n switch (color) {\\n case BLUE: {\\n setPrice(BLUE_DAISY_PRICE*((int)(stemLength/30)+1));\\n break;\\n }\\n case WHITE: {\\n setPrice(WHITE_DAISY_PRICE*((int)(stemLength/30)+1));\\n break;\\n }\\n }\\n this.color = color;\\n }\",\n \"public double getDPad() {\\n\\t\\treturn this.getRawAxis(6);\\n\\t}\",\n \"@Test\\n public void test41() throws Throwable {\\n Line2D.Double line2D_Double0 = new Line2D.Double(407.99, (-371.62), (-371.62), 0.0);\\n line2D_Double0.x1 = 0.0;\\n line2D_Double0.setLine((-371.62), 3820.38477815176, 0.0, 3820.38477815176);\\n DefaultValueDataset defaultValueDataset0 = new DefaultValueDataset(0.0);\\n ThermometerPlot thermometerPlot0 = new ThermometerPlot((ValueDataset) defaultValueDataset0);\\n NumberAxis numberAxis0 = (NumberAxis)thermometerPlot0.getRangeAxis();\\n CombinedRangeCategoryPlot combinedRangeCategoryPlot0 = new CombinedRangeCategoryPlot((ValueAxis) numberAxis0);\\n combinedRangeCategoryPlot0.setRangeCrosshairValue((-371.62));\\n CategoryPointerAnnotation categoryPointerAnnotation0 = new CategoryPointerAnnotation(\\\"K(Jj1`SZJ!y81S;n?%Y\\\", (Comparable) (-371.62), 1834.808976, (-371.62));\\n combinedRangeCategoryPlot0.addAnnotation(categoryPointerAnnotation0);\\n DatasetRenderingOrder datasetRenderingOrder0 = combinedRangeCategoryPlot0.getDatasetRenderingOrder();\\n float[][] floatArray0 = new float[9][0];\\n float[] floatArray1 = new float[0];\\n floatArray0[0] = floatArray1;\\n float[] floatArray2 = new float[6];\\n floatArray2[0] = Float.NEGATIVE_INFINITY;\\n floatArray2[1] = 8.0F;\\n floatArray2[2] = (-970.0398F);\\n floatArray2[3] = (-2174.3F);\\n floatArray2[4] = 0.0F;\\n floatArray2[5] = 2953.279F;\\n floatArray0[1] = floatArray2;\\n float[] floatArray3 = new float[9];\\n floatArray3[0] = 2953.279F;\\n floatArray3[1] = (-970.0398F);\\n floatArray3[2] = (-2174.3F);\\n floatArray3[3] = (-970.0398F);\\n floatArray3[4] = (-970.0398F);\\n floatArray3[5] = 0.0F;\\n floatArray3[6] = (-2174.3F);\\n floatArray3[7] = 0.0F;\\n floatArray3[8] = Float.NEGATIVE_INFINITY;\\n floatArray0[2] = floatArray3;\\n float[] floatArray4 = new float[0];\\n floatArray0[3] = floatArray4;\\n float[] floatArray5 = new float[7];\\n floatArray5[0] = 8.0F;\\n floatArray5[1] = 2953.279F;\\n floatArray5[2] = (-966.2956F);\\n floatArray5[3] = 8.0F;\\n floatArray5[4] = 8.0F;\\n floatArray5[5] = (-2174.3F);\\n floatArray5[6] = (-2174.3F);\\n floatArray0[4] = floatArray5;\\n float[] floatArray6 = new float[6];\\n floatArray6[0] = 0.0F;\\n floatArray6[1] = Float.NEGATIVE_INFINITY;\\n floatArray6[2] = (-966.2956F);\\n floatArray6[3] = (-1797.876F);\\n floatArray6[4] = (-966.2956F);\\n floatArray6[5] = (-2174.3F);\\n floatArray0[5] = floatArray6;\\n float[] floatArray7 = new float[8];\\n floatArray7[0] = 0.0F;\\n floatArray7[1] = (-966.2956F);\\n floatArray7[2] = 0.0F;\\n floatArray7[3] = Float.NEGATIVE_INFINITY;\\n floatArray7[4] = (-970.0398F);\\n floatArray7[5] = (-970.0398F);\\n floatArray7[6] = 0.0F;\\n floatArray7[7] = (-970.0398F);\\n floatArray0[6] = floatArray7;\\n float[] floatArray8 = new float[3];\\n floatArray8[0] = Float.NEGATIVE_INFINITY;\\n floatArray8[1] = Float.NEGATIVE_INFINITY;\\n floatArray8[2] = (-1797.876F);\\n floatArray0[7] = floatArray8;\\n float[] floatArray9 = new float[8];\\n floatArray9[0] = 8.0F;\\n floatArray9[1] = (-2209.7039F);\\n floatArray9[2] = 0.0F;\\n floatArray9[3] = (-2174.3F);\\n floatArray9[4] = (-2174.3F);\\n floatArray9[5] = Float.NEGATIVE_INFINITY;\\n floatArray9[6] = 0.0F;\\n floatArray9[7] = 2953.279F;\\n floatArray0[8] = floatArray9;\\n FastScatterPlot fastScatterPlot0 = new FastScatterPlot(floatArray0, (ValueAxis) numberAxis0, (ValueAxis) numberAxis0);\\n BasicStroke basicStroke0 = (BasicStroke)fastScatterPlot0.getDomainGridlineStroke();\\n combinedRangeCategoryPlot0.setRangeCrosshairStroke(basicStroke0);\\n }\",\n \"@Test\\n public void getSecurityPriceTechnicalsMacdTest() throws ApiException, NoSuchMethodException {\\n String identifier = null;\\n Integer fastPeriod = null;\\n Integer slowPeriod = null;\\n Integer signalPeriod = null;\\n String priceKey = null;\\n String startDate = null;\\n String endDate = null;\\n Integer pageSize = null;\\n String nextPage = null;\\n ApiResponseSecurityMovingAverageConvergenceDivergence response = api.getSecurityPriceTechnicalsMacd(identifier, fastPeriod, slowPeriod, signalPeriod, priceKey, startDate, endDate, pageSize, nextPage);\\n\\n // TODO: test validations\\n }\",\n \"public abstract int daysInMonth(DMYcount DMYcount);\",\n \"public LineDash getLineDash(\\n )\\n {return lineDash;}\",\n \"private void onCreateCaffeineBarChart(DateIntegerSeries coffeeCaffeineSeries, DateIntegerSeries teaCaffeineSeries) {\\n // refreshes the chart (it will be loaded with default vals at this point)\\n caffeineBarChart.clear();\\n caffeineBarChart.redraw();\\n\\n // default graph: supports y from 0 to 1000 in increments of 200, but this can be\\n // overridden by very large values, in which case it's MAX_VALUE rounded to next\\n // increment of 200, in increments of MAX_VALUE / 5\\n int maxRange = 1000;\\n int combinedMaxYValue = coffeeCaffeineSeries.getMaxYValue() + teaCaffeineSeries.getMaxYValue();\\n if (combinedMaxYValue > 1000) {\\n if (combinedMaxYValue % 200 != 0) maxRange = combinedMaxYValue + (200 - (combinedMaxYValue % 200));\\n else maxRange = combinedMaxYValue;\\n }\\n\\n caffeineBarChart.setRangeBoundaries(0, maxRange, BoundaryMode.FIXED);\\n caffeineBarChart.setRangeStep(StepMode.SUBDIVIDE, 5);\\n caffeineBarChart.addMarker(new YValueMarker(400, null)); // red line for 400 mg\\n caffeineBarChart.setDomainStep(StepMode.SUBDIVIDE, 10);\\n\\n // had to hard code the colors because they're apparently translated into ints in the backend,\\n // but the ints DON'T properly translate back into the original hex string ...\\n BarFormatter coffeeBarFormatter = new BarFormatter(Color.parseColor(\\\"#ac9782\\\"), Color.WHITE);\\n BarFormatter teaBarFormatter = new BarFormatter(Color.parseColor(\\\"#4d7d55\\\"), Color.WHITE);\\n\\n caffeineBarChart.addSeries(coffeeCaffeineSeries, coffeeBarFormatter);\\n caffeineBarChart.addSeries(teaCaffeineSeries, teaBarFormatter);\\n\\n // initialize bar caffeineBarChartRenderer (must be done after set formatter and add series to the plot)\\n caffeineBarChartRenderer = caffeineBarChart.getRenderer(BarRenderer.class);\\n caffeineBarChartRenderer.setBarGroupWidth(BarRenderer.BarGroupWidthMode.FIXED_WIDTH, PixelUtils.dpToPix(25));\\n caffeineBarChartRenderer.setBarOrientation(BarRenderer.BarOrientation.STACKED);\\n\\n // X-AXIS = date values, formatted as \\\"10/27\\\"\\n caffeineBarChart.getGraph().getLineLabelStyle(XYGraphWidget.Edge.BOTTOM).setFormat(new xAxisDateFormat());\\n\\n // Y-AXIS = caffeine values, formatted as \\\"800\\\"\\n caffeineBarChart.getGraph().getLineLabelStyle(XYGraphWidget.Edge.LEFT).setFormat(new Format() {\\n @Override\\n public StringBuffer format(Object obj, StringBuffer toAppendTo, FieldPosition pos) {\\n int intNumber = ((Number) obj).intValue();\\n if (intNumber == 400) return new StringBuffer(\\\"[\\\" + intNumber + \\\"]\\\");\\n else return new StringBuffer(Integer.toString(intNumber));\\n }\\n\\n @Override\\n public Number parseObject(String string, ParsePosition position) {\\n throw new UnsupportedOperationException(\\\"Not yet implemented.\\\");\\n }\\n });\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n JDayChooser jDayChooser0 = new JDayChooser(true);\\n jDayChooser0.setFocus();\\n PDFDocumentGraphics2D pDFDocumentGraphics2D0 = new PDFDocumentGraphics2D();\\n JDayChooser.DecoratorButton jDayChooser_DecoratorButton0 = jDayChooser0.new DecoratorButton();\\n jDayChooser_DecoratorButton0.paint(pDFDocumentGraphics2D0);\\n jDayChooser0.drawDays();\\n XML11DTDConfiguration xML11DTDConfiguration0 = new XML11DTDConfiguration();\\n Locale locale0 = xML11DTDConfiguration0.getLocale();\\n jDayChooser0.setLocale(locale0);\\n assertFalse(jDayChooser0.isDecorationBordersVisible());\\n assertEquals(14, jDayChooser0.getDay());\\n assertTrue(jDayChooser0.isDayBordersVisible());\\n }\",\n \"public Holiday(int day, int month) {\\n\\t\\tdate = LocalDate.of(2019,month,day);\\n\\t}\",\n \"private void makeChart() {\\n\\n Log.d(\\\"Chart\\\",\\\"Start Chart\\\");\\n\\n ArrayList<Entry> speedList = new ArrayList<>();\\n ArrayList<Entry> avgSpeedList = new ArrayList<>();\\n ArrayList<Entry> avgAltList = new ArrayList<>();\\n\\n int numberOfValues = trackingList.size();\\n\\n //Fills the data in the Arrays Entry (xValue,yValue)\\n for(int i = 0; i < numberOfValues;i++){\\n float avgSpeed = (float)averageSpeed;\\n float avgAlt = (float)averageAlt;\\n float curSpeed = (float)trackingList.get(i).getSpeed();\\n\\n Log.d(\\\"Chart\\\",\\\"CurSpeed: \\\" +curSpeed);\\n\\n avgSpeedList.add(new Entry(i*3,avgSpeed));\\n speedList.add(new Entry(i*3,curSpeed));\\n avgAltList.add(new Entry(i*3,avgAlt));\\n }\\n\\n ArrayList<String> xAXES = new ArrayList<>();\\n\\n\\n String[] xaxes = new String[xAXES.size()];\\n for(int i=0; i<xAXES.size();i++){\\n xaxes[i] = xAXES.get(i);\\n }\\n\\n // More than one Array (Line in the Graph)\\n ArrayList<ILineDataSet> lineDataSets = new ArrayList<>();\\n\\n //Speed Graph setup\\n LineDataSet lineDataSet1 = new LineDataSet(speedList,\\\"Speed\\\");\\n lineDataSet1.setDrawCircles(false);\\n lineDataSet1.setColor(Color.BLUE);\\n lineDataSet1.setLineWidth(2);\\n\\n //AvgSpeed setup\\n LineDataSet lineDataSet2 = new LineDataSet(avgSpeedList,\\\"AvgSpeedLine\\\");\\n lineDataSet2.setDrawCircles(false);\\n lineDataSet2.setColor(Color.RED);\\n lineDataSet2.setLineWidth(3);\\n\\n //AvgAlt setup\\n LineDataSet lineDataSet3 = new LineDataSet(avgAltList,\\\"AvgAltLine\\\");\\n lineDataSet3.setDrawCircles(false);\\n lineDataSet3.setColor(Color.MAGENTA);\\n lineDataSet3.setLineWidth(3);\\n\\n //Add them to the List\\n lineDataSets.add(lineDataSet1);\\n lineDataSets.add(lineDataSet2);\\n lineDataSets.add(lineDataSet3);\\n\\n //setup for the xAxis\\n XAxis xAxis = lineChart.getXAxis();\\n xAxis.setPosition(XAxis.XAxisPosition.BOTTOM);\\n\\n //Puts the data in the Graph\\n lineChart.setData(new LineData(lineDataSets));\\n lineChart.setVisibleXRangeMaximum(65f);\\n\\n //Chart description\\n lineChart.getDescription().setText(\\\"All Speed\\\");\\n\\n //Shows timer information when clicked\\n lineChart.setOnClickListener(new View.OnClickListener() {\\n @Override\\n public void onClick(View v) {\\n Toast.makeText(getApplicationContext(), \\\"Its measured every 3 seconds\\\",Toast.LENGTH_LONG).show();\\n }\\n });\\n }\",\n \"public static JFreeChart createTimeSeriesChart (String xAxisTitle,\\n String yAxisTitle,\\n XYDataset tsc)\\n {\\n JFreeChart chart = ChartFactory.createTimeSeriesChart (null,\\n xAxisTitle,\\n yAxisTitle,\\n tsc,\\n true,\\n true,\\n true);\\n\\n XYPlot xyplot = (XYPlot) chart.getPlot ();\\n xyplot.setBackgroundPaint (UIUtils.getComponentColor ());\\n xyplot.setDomainGridlinePaint (UIUtils.getBorderColor ());\\n xyplot.setRangeGridlinePaint (UIUtils.getBorderColor ());\\n /*\\n xyplot.setAxisOffset (new RectangleInsets (5D,\\n 5D,\\n 5D,\\n 5D));\\n */\\n xyplot.setDomainCrosshairVisible (true);\\n xyplot.setRangeCrosshairVisible (true);\\n xyplot.setDomainGridlinePaint (UIUtils.getColor (\\\"#cfcfcf\\\"));\\n xyplot.setRangeGridlinePaint (UIUtils.getColor (\\\"#cfcfcf\\\"));\\n\\n final SimpleDateFormat dateFormat = new SimpleDateFormat (\\\"dd MMM yyyy\\\");\\n\\n ((NumberAxis) xyplot.getRangeAxis ()).setNumberFormatOverride (Environment.getNumberFormatter ());\\n\\n XYLineAndShapeRenderer xyitemrenderer = new XYLineAndShapeRenderer (true,\\n true);\\n xyitemrenderer.setUseFillPaint (true);\\n\\n XYToolTipGenerator ttgen = new StandardXYToolTipGenerator ()\\n {\\n\\n public String generateToolTip (XYDataset dataset,\\n int series,\\n int item)\\n {\\n\\n TimeSeriesCollection tsc = (TimeSeriesCollection) dataset;\\n\\n TimeSeries ts = tsc.getSeries (series);\\n\\n Number n = ts.getValue (item);\\n Number p = Integer.valueOf (0);\\n\\n if (item > 0)\\n {\\n\\n p = ts.getValue (item - 1);\\n\\n }\\n\\n String suff = \\\"\\\";\\n int v = n.intValue () - p.intValue ();\\n\\n if (v != 0)\\n {\\n\\n String sufftype = added;\\n int val = v;\\n\\n if (v < 0)\\n {\\n\\n sufftype = removed;\\n val *= -1;\\n\\n }\\n\\n suff = String.format (getUIString (charts,timeseries,suffixes,sufftype),\\n Environment.formatNumber (val));\\n\\n }\\n\\n return String.format (getUIString (charts,timeseries,tooltip),\\n dateFormat.format (ts.getTimePeriod (item).getEnd ()),\\n Environment.formatNumber (n.intValue ()),\\n suff);\\n\\n }\\n\\n };\\n\\n xyplot.setRenderer (xyitemrenderer);\\n\\n List colors = new ArrayList ();\\n colors.add (UIUtils.getColor (\\\"#f5b800\\\"));\\n colors.add (UIUtils.getColor (\\\"#7547ff\\\"));\\n colors.add (UIUtils.getColor (\\\"#9c4f4f\\\"));\\n colors.add (UIUtils.getColor (\\\"#99cc99\\\"));\\n colors.add (UIUtils.getColor (\\\"#cc6600\\\"));\\n\\n for (int i = 0; i < tsc.getSeriesCount (); i++)\\n {\\n\\n if (i < (colors.size () - 1))\\n {\\n\\n xyitemrenderer.setSeriesPaint (i,\\n (Color) colors.get (i));\\n\\n }\\n\\n xyitemrenderer.setSeriesStroke (i,\\n new java.awt.BasicStroke (2f));\\n xyitemrenderer.setSeriesShapesFilled (i,\\n true);\\n xyitemrenderer.setSeriesToolTipGenerator (i,\\n ttgen);\\n xyitemrenderer.setSeriesShape (i,\\n new java.awt.geom.Ellipse2D.Float (-3,\\n -3,\\n 6,\\n 6));\\n /*\\n if (i > 0)\\n {\\n\\n xyitemrenderer.setSeriesShape (i,\\n xyitemrenderer.lookupSeriesShape (0));\\n\\n }\\n */\\n }\\n\\n PeriodAxis periodaxis = new PeriodAxis (xAxisTitle);\\n\\n periodaxis.setAutoRangeTimePeriodClass (Day.class);\\n\\n PeriodAxisLabelInfo[] aperiodaxislabelinfo = new PeriodAxisLabelInfo[3];\\n aperiodaxislabelinfo[0] = new PeriodAxisLabelInfo (Day.class,\\n new SimpleDateFormat (\\\"d\\\"));\\n aperiodaxislabelinfo[1] = new PeriodAxisLabelInfo (Month.class,\\n new SimpleDateFormat (\\\"MMM\\\"));\\n aperiodaxislabelinfo[2] = new PeriodAxisLabelInfo (Year.class,\\n new SimpleDateFormat (\\\"yyyy\\\"));\\n periodaxis.setLabelInfo (aperiodaxislabelinfo);\\n xyplot.setDomainAxis (periodaxis);\\n\\n return chart;\\n\\n }\",\n \"public void plotHumidities(FlatField weather, int seriesNo) {\\n seriesH[seriesNo].clear();\\n try {\\n FunctionType functionType = (FunctionType) weather.getType();\\n int index = findRangeComponentIndex(functionType, WeatherType.REL_HUMIDITY);\\n if (index == -1) {\\n throw new IllegalArgumentException(\\\"FlatField must contain REL_HUMIDITY.\\\");\\n }\\n\\n final float[][] times = weather.getDomainSet().getSamples(false);\\n final float[][] values = weather.getFloats(false);\\n\\n for (int i = 0; i < times[0].length; i++) {\\n seriesH[seriesNo].add(times[0][i], values[index][i]);\\n }\\n plotDayNight();\\n\\n } catch (VisADException ex) {\\n Exceptions.printStackTrace(ex);\\n }\\n }\",\n \"public byte getDay() {\\n return day;\\n }\",\n \"public Double getXAxis(String datePattern) {\\n String[] bits = datePattern.split(\\\" \\\");\\n double axis = Double.parseDouble(bits[0]);\\n return axis + (Double.parseDouble(bits[bits.length - 1]) - 1) * getMultiplier(datePattern);\\n }\",\n \"public KochLine getLineD(){\\n\\t\\tKochLine lineD= new KochLine(p4,p5);\\n\\t\\treturn lineD;\\n\\t\\t\\n\\t}\",\n \"@Test\\n public void test77() throws Throwable {\\n CombinedDomainCategoryPlot combinedDomainCategoryPlot0 = new CombinedDomainCategoryPlot((CategoryAxis) null);\\n combinedDomainCategoryPlot0.setDrawSharedDomainAxis(false);\\n DecimalFormat decimalFormat0 = (DecimalFormat)NumberFormat.getCurrencyInstance();\\n NumberTickUnit numberTickUnit0 = new NumberTickUnit((-28.552), (NumberFormat) decimalFormat0);\\n Color color0 = (Color)Axis.DEFAULT_TICK_MARK_PAINT;\\n boolean boolean0 = numberTickUnit0.equals((Object) null);\\n TimeTableXYDataset timeTableXYDataset0 = new TimeTableXYDataset();\\n RectangleEdge rectangleEdge0 = combinedDomainCategoryPlot0.getDomainAxisEdge();\\n CyclicNumberAxis cyclicNumberAxis0 = new CyclicNumberAxis(0.0, 0.0);\\n XYAreaRenderer2 xYAreaRenderer2_0 = new XYAreaRenderer2();\\n XYPlot xYPlot0 = new XYPlot((XYDataset) timeTableXYDataset0, (ValueAxis) cyclicNumberAxis0, (ValueAxis) cyclicNumberAxis0, (XYItemRenderer) xYAreaRenderer2_0);\\n BasicStroke basicStroke0 = (BasicStroke)xYPlot0.getRangeZeroBaselineStroke();\\n CategoryMarker categoryMarker0 = new CategoryMarker((Comparable) numberTickUnit0, (Paint) color0, (Stroke) basicStroke0, (Paint) color0, cyclicNumberAxis0.DEFAULT_ADVANCE_LINE_STROKE, 0.85F);\\n combinedDomainCategoryPlot0.addRangeMarker((Marker) categoryMarker0);\\n int int0 = combinedDomainCategoryPlot0.getRangeAxisIndex(cyclicNumberAxis0);\\n Layer layer0 = Layer.BACKGROUND;\\n combinedDomainCategoryPlot0.addDomainMarker(0, categoryMarker0, layer0);\\n combinedDomainCategoryPlot0.setRenderer((CategoryItemRenderer) null);\\n boolean boolean1 = combinedDomainCategoryPlot0.isRangeZoomable();\\n Point2D.Double point2D_Double0 = new Point2D.Double((-862.0), 1.0E-6);\\n point2D_Double0.y = (double) 0;\\n AxisLocation axisLocation0 = combinedDomainCategoryPlot0.getDomainAxisLocation((-2040));\\n combinedDomainCategoryPlot0.setDomainAxisLocation(axisLocation0);\\n }\",\n \"public void updatePredictions (long currTime, TimeSeries inputSeries)\\n {\\n\\n// TODO: decide if this is necessary, it's in PPALg >>\\n this.state.clearPredictionsFrom (currTime + stepSize);\\n//this.state.clearPredictions();\\n\\n TimeSeries timeSeries = (TimeSeries) inputSeries.clone();\\n\\n // if timeSeries is shorter than the minimum stream do nothing.\\n if (timeSeries.size() < minStreamLength)\\n return;\\n\\n // trim the first <minPeriod> number of elements from the timeSeries.\\n // this removes non-periodicity that is seen in simulators first few elements.\\n\\n timeSeries.trimFromStart(minPeriodLength);\\n\\n df.addText (\\\"First trim of time series : \\\" + timeSeries.shortToString());\\n\\n // find the best shift of the time series against iteself that leads to the most matching\\n ArrayList shiftGraph = findBestShiftGraph (timeSeries);\\n\\n // trim the shifted graph to make sure we aren't starting in the middle of an event\\n int amountTrimmed = trimShiftGraph (shiftGraph);\\n\\n df.addText (\\\"Trim amount : \\\" + amountTrimmed);\\n df.addText (\\\"final, trimmed shift graph : \\\" + shiftGraph.toString());\\n\\n // the offset is the total amount of the time series we have discarded, it is the offset\\n // to the leading edge of a periodic repeating occurence\\n int offset = amountTrimmed + minPeriodLength;\\n\\n // create a new periodic event object\\n PeriodicEvent pe = getPeriod (shiftGraph, offset);\\n\\n if (pe == null || pe.getEvent().isEmpty())\\n {\\n df.addText (\\\" Periodic event is null \\\");\\n return;\\n }\\n\\n df.addText (\\\" Periodic Event is : \\\" + pe.toString());\\n\\n // get the current time from which we will extrapolate\\n long time = currTime;\\n\\n int period = pe.getPeriod();\\n ArrayList event = pe.getEvent();\\n\\n // if we divide the timeSeries into portions the size of the time period, how much is left over?\\n // for this we do not consider the trimmed amount.\\n int timeSeriesSize = timeSeries.size() - amountTrimmed;\\n\\n if (timeSeriesSize <= period)\\n return;\\n int remainder = getRemainder (timeSeriesSize, period);\\n df.addText (\\\"remainder is : \\\" + remainder);\\n\\n // cycle through the remaining portion of the last period adding any predictions based on\\n // our periodic event that we have identified.\\n // must subtract 1 since index is zero-base, & reaminder is one-based\\n for (int i = remainder -1 ; i < event.size(); i++)\\n {\\n double prediction;\\n\\n time = time + timeSeries.getTimeIncrement();\\n\\n if (i >= 0 && event.get (i) != null)\\n {\\n prediction = ((Double) event.get(i)).doubleValue();\\n\\n state.addPrediction ( time, prediction);\\n df.addText (\\\"Adding prediction : \\\" + prediction + \\\" for time : \\\" + time);\\n }\\n } // end for (i)\\n\\n int extrapolationCount = 2;\\n\\n // We make <j> additional extapolation into the future beyond the last period fragment\\n while (extrapolationCount > 0)\\n {\\n for (int j = 0; j < event.size(); j++)\\n {\\n double prediction;\\n\\n time = time + timeSeries.getTimeIncrement();\\n\\n if (event.get (j) != null)\\n {\\n prediction = ((Double) event.get(j)).doubleValue();\\n\\n state.addPrediction ( time, prediction);\\n df.addText (\\\"Adding prediction : \\\" + prediction + \\\" for time : \\\" + time);\\n }\\n } // end for (j)\\n\\n extrapolationCount--;\\n } // end while (extapoliationCount)\\n\\n\\n state.updateError (timeSeries, currTime);\\n }\",\n \"public byte getDay() {\\n return day;\\n }\",\n \"public byte getDay() {\\n return day;\\n }\",\n \"public byte getDay() {\\n return day;\\n }\",\n \"public ArrayList<Forecast> getForecastsForDay( int day ) {\\n if (forecasts.size() == 0) {\\n return null;\\n }\\n\\n int startIndex = 0;\\n int endIndex = 0;\\n\\n if (day < 8) {\\n startIndex = dayIndices[day];\\n }\\n\\n if (startIndex == -1) {\\n return null;\\n }\\n\\n if (day < 7) {\\n endIndex = dayIndices[day+1];\\n if (endIndex < 0) {\\n endIndex = forecasts.size();\\n }\\n } else {\\n endIndex = forecasts.size();\\n }\\n\\n return new ArrayList<>(forecasts.subList(startIndex, endIndex));\\n }\",\n \"public Integer getSeriesCd() {\\n\\t\\treturn seriesCd;\\n\\t}\",\n \"public Double getCarbon() {\\n return product.getCarbon() * weight / 100;\\n }\",\n \"public double MACD(int t)\\n {\\n return MACD(26, 12, t);\\n }\",\n \"public MotionChartPanel () {\\n super( null );\\n\\n // Data set.\\n setLayout( new BorderLayout() );\\n\\n// setMaximumDrawWidth( Toolkit.getDefaultToolkit().getScreenSize().width );\\n// setMaximumDrawHeight( Toolkit.getDefaultToolkit().getScreenSize().height );\\n\\n final DynamicTimeSeriesCollection dataset1 = new DynamicTimeSeriesCollection( 1, COUNT, new Second() );\\n dataset1.setTimeBase( new Second( 0, 0, 0, 1, 1, 2011 ) );\\n dataset1.addSeries( initialPositionData(), 0, POSITION_SERIES_TEXT );\\n\\n final DynamicTimeSeriesCollection dataset2 = new DynamicTimeSeriesCollection( 1, COUNT, new Second() );\\n dataset2.setTimeBase( new Second( 0, 0, 0, 1, 1, 2011 ) );\\n dataset2.addSeries( initialSpeedData(), 0, SPEED_SERIES_TEXT );\\n\\n // Create the chart.\\n JFreeChart chart = createChart( dataset1, dataset2 );\\n setChart( chart );\\n setRangeBound( 200000, 2500 );\\n setMouseZoomable( false );\\n\\n // Timer (Refersh the chart).\\n timer = new Timer( 10, new ActionListener() {\\n\\n /**\\n * The speed previous plotted.\\n */\\n private float prevSpeed;\\n\\n /**\\n * The position previous plotted.\\n */\\n private float prevPosition;\\n @Override\\n public void actionPerformed ( ActionEvent e ) {\\n if ( speedQueue.isEmpty() == false && positionQueue.isEmpty() == false ) {\\n long time = System.currentTimeMillis();\\n prevSpeed = speedQueue.poll();\\n prevPosition = positionQueue.poll();\\n dataset1.advanceTime();\\n dataset2.advanceTime();\\n dataset1.appendData( new float[]{ prevPosition } );\\n dataset2.appendData( new float[]{ prevSpeed } );\\n }\\n\\n// else {\\n // Maintain previous record once no new record/enough record could show.\\n// dataset1.appendData( new float[]{ prevPosition } );\\n// dataset2.appendData( new float[]{ prevSpeed } );\\n// }\\n }\\n } );\\n }\",\n \"public byte getDay() {\\r\\n return day;\\r\\n }\",\n \"public static void m10220a() {\\n zzawb.m10214a(\\\"TinkMac\\\", new ii());\\n zzavo.m10184a(f9059b);\\n }\",\n \"public float getDayOpacity() {\\r\\n //Gdx.app.debug(\\\"Clock\\\", \\\"h: \\\" + (24f * (seconds / 60f)));\\r\\n if (dayOpacity < 0.25) {\\r\\n return 0;\\r\\n } else if (dayOpacity < 0.5) {\\r\\n return (dayOpacity - 0.25f) / 0.25f;\\r\\n } else {\\r\\n return 1;\\r\\n }\\r\\n }\",\n \"private void drawVertical(GC gc, Rectangle drawingArea, TimeBarViewerDelegate delegate, boolean top,\\n boolean printing) {\\n int oy = drawingArea.y;\\n\\n int basex;\\n int minorOff;\\n int majorOff;\\n int majorLabelOff;\\n int dayOff;\\n\\n if (!top) {\\n basex = drawingArea.x;\\n minorOff = scaleX(MINORLENGTH);\\n majorOff = scaleX(MAJORLENGTH);\\n majorLabelOff = scaleX(22);\\n dayOff = scaleX(34);\\n } else {\\n basex = drawingArea.x + drawingArea.width - 1;\\n minorOff = scaleX(-MINORLENGTH);\\n majorOff = scaleX(-MAJORLENGTH);\\n majorLabelOff = scaleX(-10);\\n dayOff = scaleX(-22);\\n }\\n int ox = basex;\\n\\n int height = drawingArea.height;\\n JaretDate date = delegate.getStartDate().copy();\\n\\n int idx = TickScaler.getTickIdx(delegate.getPixelPerSecond() / getScaleY());\\n\\n int majTick = TickScaler.getMajorTickMinutes(idx);\\n int minTick = TickScaler.getMinorTickMinutes(idx);\\n TickScaler.Range range = TickScaler.getRange(idx);\\n _lastRange = range;\\n\\n // clean starting date on a major tick minute position (starting with a\\n // day)\\n date.setMinutes(0);\\n date.setHours(0);\\n date.setSeconds(0);\\n\\n // if range is week take a week starting point\\n if (range == Range.WEEK) {\\n while (date.getDayOfWeek() != DateUtils.getFirstDayOfWeek()) {\\n date.backDays(1.0);\\n }\\n } else if (range == Range.MONTH) {\\n // month -> month starting point\\n date.setDay(1);\\n }\\n JaretDate save = date.copy();\\n\\n if (printing) {\\n gc.setLineWidth(1);\\n }\\n // draw top/bottom line\\n gc.drawLine(ox, oy, ox, oy + height);\\n\\n // draw the minor ticks\\n while (delegate.xForDate(date) < oy + height) {\\n int y = delegate.xForDate(date);\\n gc.drawLine(ox, y, ox + minorOff, y);\\n if (range == Range.MONTH) {\\n int adv = Math.round(minTick / APPROXSECONDSINMONTH);\\n if (adv == 0) {\\n adv = 1;\\n }\\n date.advanceMonths(adv);\\n } else {\\n date.advanceMinutes(minTick);\\n }\\n }\\n\\n date = save.copy();\\n // draw the major ticks\\n while (delegate.xForDate(date) < oy + height) {\\n int y = delegate.xForDate(date);\\n gc.drawLine(ox, y, ox + majorOff, y);\\n if (range == Range.MONTH) {\\n int adv = Math.round(majTick / APPROXSECONDSINMONTH);\\n if (adv == 0) {\\n adv = 1;\\n }\\n date.advanceMonths(adv);\\n } else {\\n date.advanceMinutes(majTick);\\n }\\n }\\n\\n gc.setLineWidth(1);\\n\\n // labels: draw every two major ticks\\n date = save.copy();\\n // Labels are drawn beyond the width. Otherwise when the beginning of\\n // the labels\\n // would not be drawn when the tick itself is out of sight\\n while (delegate.xForDate(date) < drawingArea.y + drawingArea.height + 50) {\\n int y = delegate.xForDate(date);\\n if (date.getMinutes() % (majTick * 2) == 0) {\\n // Second line\\n String str = null;\\n if (range == Range.HOUR) {\\n // time\\n str = date.toDisplayStringTime();\\n } else if (range == Range.DAY) {\\n // day\\n str = date.getShortDayOfWeekString();\\n } else if (range == Range.WEEK) {\\n // week\\n str = \\\"KW\\\" + date.getWeekOfYear();\\n } else if (range == Range.MONTH) {\\n // month\\n str = Integer.toString(date.getYear());\\n }\\n // draw\\n if (top) {\\n SwtGraphicsHelper.drawStringRightAlignedVCenter(gc, str, drawingArea.x + drawingArea.width\\n + majorOff, y);\\n } else {\\n SwtGraphicsHelper.drawStringLeftAlignedVCenter(gc, str, drawingArea.x + majorOff, y);\\n }\\n // // first line\\n // if (range == Range.HOUR) {\\n // if (date.getDay() != lastDay) {\\n // str = date.getDay() + \\\". (\\\" + date.getDayOfWeekString() + \\\")\\\";\\n // } else {\\n // str = \\\"\\\";\\n // }\\n // lastDay = date.getDay();\\n // } else if (range == Range.DAY || range == Range.WEEK) {\\n // str = date.getDay() + \\\".\\\" + (third ? date.getShortMonthString() : \\\"\\\");\\n // } else if (range == Range.MONTH) {\\n // str = date.getMonthString();\\n // }\\n // second = !second;\\n // third = count++ % 3 == 0;\\n // SwtGraphicsHelper.drawStringCentered(gc, str, x, oy + dayOff);\\n }\\n if (range == Range.MONTH) {\\n int adv = Math.round(majTick / APPROXSECONDSINMONTH);\\n if (adv == 0) {\\n adv = 1;\\n }\\n date.advanceMonths(adv);\\n } else {\\n date.advanceMinutes(majTick);\\n }\\n }\\n }\",\n \"public Double getDailySaleWithoutVat(int month, int day, int year, int storeCode) {\\n\\t\\tDouble amount = getRawGross(month, day, year, storeCode)/getVatRate();\\r\\n\\t\\tlogger.debug(\\\"Raw Gross: \\\"+amount);\\r\\n\\t\\treturn amount;\\r\\n//\\t\\treturn dailySale+totDisc+vat;\\r\\n\\t}\",\n \"public String windTrendIcon() {\\n String trendIcon = \\\" \\\";\\n if (readings.size() >= 3) {\\n float t1 = readings.get(readings.size() - 3).windSpeed;\\n float t2 = readings.get(readings.size() - 2).windSpeed;\\n float t3 = readings.get(readings.size() - 1).windSpeed;\\n if (t3 > t2 && t2 > t1) {\\n trendIcon += \\\" huge long arrow alternate up icon \\\";\\n } else if (t3 < t2 && t2 < t1) {\\n trendIcon += \\\" huge long arrow alternate down icon \\\";\\n } else {\\n trendIcon += \\\" huge arrows alternate horizontal icon\\\";\\n }\\n }\\n return trendIcon;\\n }\",\n \"@Test\\n public void test61() throws Throwable {\\n CategoryPlot categoryPlot0 = new CategoryPlot();\\n categoryPlot0.setRangeGridlinesVisible(true);\\n categoryPlot0.clearDomainAxes();\\n JDBCXYDataset jDBCXYDataset0 = new JDBCXYDataset((Connection) null);\\n MeterPlot meterPlot0 = new MeterPlot();\\n JFreeChart jFreeChart0 = new JFreeChart((Plot) meterPlot0);\\n ChartPanel chartPanel0 = new ChartPanel(jFreeChart0, true);\\n String[] stringArray0 = new String[6];\\n stringArray0[0] = \\\"[*tQy\\\\\\\"Ir)|..\\\";\\n stringArray0[1] = \\\".\\\";\\n stringArray0[2] = \\\"org.jfree.chart.annotations.TextAnnotation\\\";\\n stringArray0[3] = \\\"Category_Plot\\\";\\n stringArray0[4] = \\\"mt1@^eqB0HF9rLg\\\";\\n stringArray0[5] = \\\"B9t}^@/]9\\\";\\n JFreeChart.main(stringArray0);\\n boolean boolean0 = jDBCXYDataset0.hasListener(chartPanel0);\\n jDBCXYDataset0.setTimeSeries(false);\\n DatasetChangeEvent datasetChangeEvent0 = new DatasetChangeEvent((Object) categoryPlot0, (Dataset) jDBCXYDataset0);\\n categoryPlot0.datasetChanged(datasetChangeEvent0);\\n AxisLocation axisLocation0 = categoryPlot0.getDomainAxisLocation(0);\\n Rectangle2D.Double rectangle2D_Double0 = new Rectangle2D.Double((double) 0, (double) 0, (-2820.4), (-2820.4));\\n int int0 = rectangle2D_Double0.outcode((double) 0, (-2820.4));\\n CategoryAxis categoryAxis0 = new CategoryAxis();\\n categoryPlot0.setDomainAxis(15, categoryAxis0);\\n }\",\n \"private void setupDateTimeInterpreter(final boolean shortDate) {\\n mWeekView.setDateTimeInterpreter(new DateTimeInterpreter() {\\n @Override\\n public String interpretDate(Calendar date) {\\n SimpleDateFormat weekdayNameFormat = new SimpleDateFormat(\\\"EEE\\\", Locale.getDefault());\\n String weekday = weekdayNameFormat.format(date.getTime());\\n SimpleDateFormat format = new SimpleDateFormat(\\\" M/d\\\", Locale.getDefault());\\n\\n // All android api level do not have a standard way of getting the first letter of\\n // the week day name. Hence we get the first char programmatically.\\n // Details: http://stackoverflow.com/questions/16959502/get-one-letter-abbreviation-of-week-day-of-a-date-in-java#answer-16959657\\n if (shortDate)\\n weekday = String.valueOf(weekday.charAt(0));\\n return weekday.toUpperCase() + format.format(date.getTime());\\n }\\n\\n @Override\\n public String interpretTime(int hour, int minutes) {\\n String strMinutes = String.format(\\\"%02d\\\", minutes);\\n if (hour > 11) {\\n if (hour == 12) {\\n return \\\"12:\\\" + strMinutes + \\\" PM\\\";\\n } else {\\n return (hour - 12) + \\\":\\\" + strMinutes + \\\" PM\\\";\\n }\\n } else {\\n if (hour == 0) {\\n return \\\"12:\\\" + strMinutes + \\\" AM\\\";\\n } else {\\n return hour + \\\":\\\" + strMinutes + \\\" AM\\\";\\n }\\n }\\n }\\n });\\n }\",\n \"public void setDay(int day) {\\r\\n this.day = day;\\r\\n }\",\n \"private Day getDay(int day, int month) {\\n return mainForm.getDay(day, month);\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5711288","0.54807335","0.4906584","0.48030573","0.45229852","0.45071","0.44453505","0.44249108","0.437002","0.4330886","0.4327715","0.4313148","0.43106163","0.43103933","0.4296545","0.4292115","0.42614692","0.42514506","0.42509276","0.42502838","0.42501482","0.42123654","0.4168841","0.41596606","0.414446","0.41351682","0.41001415","0.40944514","0.40913498","0.40887535","0.4079779","0.40717757","0.40707764","0.40387583","0.40308043","0.40269172","0.40208918","0.4004382","0.40003213","0.39943978","0.39842144","0.39831564","0.39791685","0.39759254","0.39656997","0.3958057","0.39562124","0.39346212","0.39304605","0.39253056","0.39178753","0.3914414","0.39084393","0.3907968","0.38983393","0.38937432","0.38932306","0.38870594","0.38795027","0.38685128","0.38665625","0.38632903","0.38629818","0.38478008","0.3845152","0.38383716","0.38305718","0.38255686","0.38248068","0.38237962","0.3821921","0.38194925","0.3818543","0.38179186","0.3816665","0.38166314","0.38141146","0.38118866","0.38111967","0.3808931","0.3807438","0.38064694","0.38060716","0.38060716","0.38060716","0.38026762","0.37922236","0.37885574","0.37855387","0.37833345","0.37810442","0.37793985","0.3778173","0.377817","0.377706","0.37759644","0.377552","0.3774363","0.3774332","0.3769101"],"string":"[\n \"0.5711288\",\n \"0.54807335\",\n \"0.4906584\",\n \"0.48030573\",\n \"0.45229852\",\n \"0.45071\",\n \"0.44453505\",\n \"0.44249108\",\n \"0.437002\",\n \"0.4330886\",\n \"0.4327715\",\n \"0.4313148\",\n \"0.43106163\",\n \"0.43103933\",\n \"0.4296545\",\n \"0.4292115\",\n \"0.42614692\",\n \"0.42514506\",\n \"0.42509276\",\n \"0.42502838\",\n \"0.42501482\",\n \"0.42123654\",\n \"0.4168841\",\n \"0.41596606\",\n \"0.414446\",\n \"0.41351682\",\n \"0.41001415\",\n \"0.40944514\",\n \"0.40913498\",\n \"0.40887535\",\n \"0.4079779\",\n \"0.40717757\",\n \"0.40707764\",\n \"0.40387583\",\n \"0.40308043\",\n \"0.40269172\",\n \"0.40208918\",\n \"0.4004382\",\n \"0.40003213\",\n \"0.39943978\",\n \"0.39842144\",\n \"0.39831564\",\n \"0.39791685\",\n \"0.39759254\",\n \"0.39656997\",\n \"0.3958057\",\n \"0.39562124\",\n \"0.39346212\",\n \"0.39304605\",\n \"0.39253056\",\n \"0.39178753\",\n \"0.3914414\",\n \"0.39084393\",\n \"0.3907968\",\n \"0.38983393\",\n \"0.38937432\",\n \"0.38932306\",\n \"0.38870594\",\n \"0.38795027\",\n \"0.38685128\",\n \"0.38665625\",\n \"0.38632903\",\n \"0.38629818\",\n \"0.38478008\",\n \"0.3845152\",\n \"0.38383716\",\n \"0.38305718\",\n \"0.38255686\",\n \"0.38248068\",\n \"0.38237962\",\n \"0.3821921\",\n \"0.38194925\",\n \"0.3818543\",\n \"0.38179186\",\n \"0.3816665\",\n \"0.38166314\",\n \"0.38141146\",\n \"0.38118866\",\n \"0.38111967\",\n \"0.3808931\",\n \"0.3807438\",\n \"0.38064694\",\n \"0.38060716\",\n \"0.38060716\",\n \"0.38060716\",\n \"0.38026762\",\n \"0.37922236\",\n \"0.37885574\",\n \"0.37855387\",\n \"0.37833345\",\n \"0.37810442\",\n \"0.37793985\",\n \"0.3778173\",\n \"0.377817\",\n \"0.377706\",\n \"0.37759644\",\n \"0.377552\",\n \"0.3774363\",\n \"0.3774332\",\n \"0.3769101\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.4065727"},"document_rank":{"kind":"string","value":"33"}}},{"rowIdx":19793,"cells":{"query":{"kind":"string","value":"Calculates the signal line for the MACD (Moving Average Convergence/Divergence), which is the difference between a short and a long term moving average for a field. The signal line is a moving average of the MACD used for generating entry/exit signals. The MACD signal line is a 9period exponential moving average of the MACD (Moving Average Convergence/Divergence). The current implementation is quite inefficient; if this method were to be called repeatedly for subsequent periods, the MACD series could be computed only once."},"document":{"kind":"string","value":"public double MACDSignal(int t)\n {\n Series macd = new Series();\n macd.x = new double[macd.size = t + 1];\n for(int i = 0; i<=t; i++)\n macd.x[i] = MACD(i);\n return macd.expMovingAverage(9, t);\n }"},"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 \r\n protected void calculate(int index, DataContext ctx)\r\n {\r\n DataSeries series = ctx.getDataSeries();\r\n boolean complete=true;\r\n \r\n /*\r\n int macdPeriod1 = getSettings().getInteger(MACD_PERIOD1, 12);\r\n int macdPeriod2 = getSettings().getInteger(MACD_PERIOD2, 26);\r\n Enums.MAMethod macdMethod = getSettings().getMAMethod(MACD_METHOD, Enums.MAMethod.EMA);\r\n Object macdInput = getSettings().getInput(MACD_INPUT, Enums.BarInput.CLOSE);\r\n if (index >= Util.max(macdPeriod1, macdPeriod2)) {\r\n Double MA1 = null, MA2 = null;\r\n MA1 = series.ma(macdMethod, index, macdPeriod1, macdInput);\r\n MA2 = series.ma(macdMethod, index, macdPeriod2, macdInput);\r\n \r\n double MACD = MA1 - MA2; \r\n series.setDouble(index, Values.MACD, MACD);\r\n\r\n int signalPeriod = getSettings().getInteger(Inputs.SIGNAL_PERIOD, 9);\r\n\r\n // Calculate moving average of MACD (signal line)\r\n Double signal = series.ma(getSettings().getMAMethod(Inputs.SIGNAL_METHOD, Enums.MAMethod.SMA), index, signalPeriod, Values.MACD);\r\n series.setDouble(index, Values.SIGNAL, signal);\r\n \r\n if (signal != null) series.setDouble(index, Values.HIST, MACD - signal);\r\n\r\n if (series.isBarComplete(index)) {\r\n // Check for signal events\r\n Coordinate c = new Coordinate(series.getStartTime(index), signal);\r\n if (crossedAbove(series, index, Values.MACD, Values.SIGNAL)) {\r\n MarkerInfo marker = getSettings().getMarker(Inputs.UP_MARKER);\r\n String msg = get(\"SIGNAL_MACD_CROSS_ABOVE\", MACD, signal);\r\n if (marker.isEnabled()) addFigure(new Marker(c, Enums.Position.BOTTOM, marker, msg));\r\n ctx.signal(index, Signals.CROSS_ABOVE, msg, signal);\r\n }\r\n else if (crossedBelow(series, index, Values.MACD, Values.SIGNAL)) {\r\n MarkerInfo marker = getSettings().getMarker(Inputs.DOWN_MARKER);\r\n String msg = get(\"SIGNAL_MACD_CROSS_BELOW\", MACD, signal);\r\n if (marker.isEnabled()) addFigure(new Marker(c, Enums.Position.TOP, marker, msg));\r\n ctx.signal(index, Signals.CROSS_BELOW, msg, signal);\r\n }\r\n }\r\n }\r\n else complete=false;\r\n \r\n int rsiPeriod = getSettings().getInteger(RSI_PERIOD);\r\n Object rsiInput = getSettings().getInput(RSI_INPUT);\r\n if (index < 1) return; // not enough data\r\n \r\n double diff = series.getDouble(index, rsiInput) - series.getDouble(index-1, rsiInput);\r\n double up = 0, down = 0;\r\n if (diff > 0) up = diff;\r\n else down = diff;\r\n \r\n series.setDouble(index, Values.UP, up);\r\n series.setDouble(index, Values.DOWN, Math.abs(down));\r\n \r\n if (index <= rsiPeriod +1) return;\r\n \r\n Enums.MAMethod method = getSettings().getMAMethod(RSI_METHOD);\r\n double avgUp = series.ma(method, index, rsiPeriod, Values.UP);\r\n double avgDown = series.ma(method, index, rsiPeriod, Values.DOWN);\r\n double RS = avgUp / avgDown;\r\n double RSI = 100.0 - ( 100.0 / (1.0 + RS));\r\n\r\n series.setDouble(index, Values.RSI, RSI);\r\n \r\n // Do we need to generate a signal?\r\n GuideInfo topGuide = getSettings().getGuide(Inputs.TOP_GUIDE);\r\n GuideInfo bottomGuide = getSettings().getGuide(Inputs.BOTTOM_GUIDE);\r\n if (crossedAbove(series, index, Values.RSI, topGuide.getValue())) {\r\n series.setBoolean(index, Signals.RSI_TOP, true);\r\n ctx.signal(index, Signals.RSI_TOP, get(\"SIGNAL_RSI_TOP\", topGuide.getValue(), round(RSI)), round(RSI));\r\n }\r\n else if (crossedBelow(series, index, Values.RSI, bottomGuide.getValue())) {\r\n series.setBoolean(index, Signals.RSI_BOTTOM, true);\r\n ctx.signal(index, Signals.RSI_BOTTOM, get(\"SIGNAL_RSI_BOTTOM\", bottomGuide.getValue(), round(RSI)), round(RSI));\r\n }\r\n */\r\n series.setComplete(index, complete);\r\n }","public void updateSMA(){\n audioInput.read(audioBuffer, 0, bufferSize);\n Complex [] FFTarr = doFFT(shortToDouble(audioBuffer));\n FFTarr = bandPassFilter(FFTarr);\n double sum = 0;\n for(int i = 0; i<FFTarr.length;i++){\n sum+=Math.abs(FFTarr[i].re()); // take the absolute value of the FFT raw value\n }\n double bandPassAverage = sum/FFTarr.length;\n Log.d(LOGTAG, \"bandPassAverage: \" + bandPassAverage);\n\n //Cut out loud samples, otherwise compute rolling average as usual\n if(bandPassAverage>THROW_OUT_THRESHOLD){\n mySMA.compute(mySMA.currentAverage());\n }else {\n mySMA.compute(bandPassAverage);\n }\n }","public double MACD(int slow, int fast, int t)\n {\n if(slow<=fast)\n throw new IndexOutOfBoundsException(\"MACD(\" + slow + \" - \" +\n fast + \") is undefined at time \" + t);\n return expMovingAverage(slow, t) - expMovingAverage(fast, t);\n }","private void calcDVOWDNa(\n final Line line1,\n final Line line2,\n final Point point1,\n final Point point2) {\n\n\n double average_x = (point1.x + point2.x) / 2.0;\n\n this.p1 = new Point(\n (point1.x + average_x) / 2.0,\n line1.a * (point1.x + average_x) / 2.0 + line1.b);\n\n this.p3 = new Point(\n (point2.x + average_x) / 2.0,\n line2.a * (point2.x + average_x) / 2.0 + line2.b);\n\n Line median = Line.fromPoints(p1, p3);\n this.p2 = new Point(average_x, median.eval(average_x));\n\n assert p3.y <= Math.max(point2.y, point1.y);\n assert p1.y <= Math.max(point2.y, point1.y);\n assert p3.y >= Math.min(point2.y, point1.y);\n assert p1.y >= Math.min(point2.y, point1.y);\n\n this.type = Type.bernstein;\n this.p0 = new Point(point1);\n this.p4 = new Point(point2);\n\n //return(f);\n }","@Override\r\n protected void calculateValues(DataContext ctx)\r\n {\r\n\t//Common MTF Inputs\r\n\tint mtfPeriod = getSettings().getInteger(MTF_MULTIPLIER);\r\n Object mtfInput = getSettings().getInput(SMI_INPUT, Enums.BarInput.CLOSE);\r\n \r\n int mtfSmooth = getSettings().getInteger(SMI_SMOOTH);\r\n int mtfSignal = getSettings().getInteger(SMI_SIGNAL);\r\n int mtfHLinc = getSettings().getInteger(SMI_HL_MTF_INC);\r\n int mtfMAinc = getSettings().getInteger(SMI_MA_MTF_INC);\r\n \r\n\tint mtfHL = getSettings().getInteger(SMI_HL1_MTF);\r\n\tint mtfMA = getSettings().getInteger(SMI_MA1_MTF);\r\n \r\n /* MTF Bar sizing */\r\n BarSize barSize = ctx.getChartBarSize(); //Gets the barsize off the chart\r\n int mtfbarint = barSize.getInterval(); //Gets the interval of the chart\r\n int barSizeint = mtfbarint * mtfPeriod; //Multiply the interval by the mtf multiplier\r\n \r\n //Calculates a longer period interval based upon the mtfPeriod\r\n BarSize barSizeNew = barSize.getBarSize(barSize.getType(), barSizeint); \r\n //Assembes the longer period timeframe series\r\n DataSeries series2 = ctx.getDataSeries(barSizeNew);\r\n\r\n String valStringOut; //variables for the return results\r\n String valStringD;\r\n String valStringHL;\r\n String valStringD_MA;\r\n String valStringHL_MA;\r\n int hlPeriodmtf;\r\n int maPeriodmtf;\r\n \r\n StudyHeader header = getHeader();\r\n boolean updates = getSettings().isBarUpdates() || (header != null && header.requiresBarUpdates());\r\n\r\n // Calculates Moving Average for the Secondary Data Series\r\n for(int i = 1; i < series2.size(); i++) {\r\n if (series2.isComplete(i)) continue;\r\n if (!updates && !series2.isBarComplete(i)) continue;\r\n //Double sma = series2.ma(MAMethod.SMA, i, mtfPeriod, mtfInput);\r\n \r\n //insert smi logic\r\n for(int j = 1; j <= 4; j++) {\r\n \t \r\n switch (j) {\r\n case 1:\r\n \t valStringOut \t = \"Values.MTF1\"; //D1, HL1, D_MA1, HL_MA1 mtfHLinc\r\n \t valStringD \t = \"Values.D1\";\r\n \t valStringHL \t = \"Values.HL1\";\r\n \t valStringD_MA\t = \"Values.D_MA1\";\r\n \t valStringHL_MA = \"Values.HL_MA1\";\r\n \t hlPeriodmtf = mtfHL; //Base HL\r\n \t maPeriodMA = mtfMA; //Base MA\r\n \t break;\r\n case 2:\r\n \t valStringOut = \"Values.MTF2\";\r\n \t valStringD \t = \"Values.D2\";\r\n \t valStringHL \t = \"Values.HL2\";\r\n \t valStringD_MA\t = \"Values.D_MA2\";\r\n \t valStringHL_MA = \"Values.HL_MA2\";\r\n \t hlPeriodmtf = mtfHL + mtfHLinc; //Base HL + Increment\r\n \t maPeriodMA = mtfMA + mtfMAinc; //Base MA + Increment \t \r\n \t break;\r\n case 3:\r\n \t valStringOut = \"Values.MTF3\";\r\n \t valStringD \t = \"Values.D3\";\r\n \t valStringHL \t = \"Values.HL3\";\r\n \t valStringD_MA\t = \"Values.D_MA3\";\r\n \t valStringHL_MA = \"Values.HL_MA3\";\r\n \t hlPeriodmtf = mtfHL + (mtfHLinc*2); //Base HL + Increment*2\r\n \t maPeriodMA = mtfMA + (mtfMAinc*2); //Base MA + Increment*2 \t \r\n \t break;\r\n case 4:\r\n \t valStringOut = \"Values.MTF4\";\r\n \t valStringD \t = \"Values.D4\";\r\n \t valStringHL \t = \"Values.HL4\";\r\n \t valStringD_MA\t = \"Values.D_MA4\";\r\n \t valStringHL_MA = \"Values.HL_MA4\";\r\n \t hlPeriodmtf = mtfHL + (mtfHLinc*3); //Base HL + Increment\r\n \t maPeriodMA = mtfMA + (mtfMAinc*3); //Base MA + Increment\r\n \t break;\r\n default:\r\n \t break;\t \r\n } //end switch\r\n \r\n //base HL period is mtfHL\r\n if (i < mtfHL) return;\r\n\r\n double HH = series2.highest(i, hlPeriodmtf, Enums.BarInput.HIGH);\r\n double LL = series2.lowest(i, hlPeriodmtf, Enums.BarInput.LOW);\r\n double M = (HH + LL)/2.0;\r\n double D = series2.getClose(i) - M;\r\n \r\n series.setDouble(i, valStringD, D);\r\n series.setDouble(i, valStringHL, HH - LL);\r\n \r\n int maPeriod = getSettings().getInteger(MA_PERIOD);\r\n if (index < hlPeriod + maPeriod) return;\r\n \r\n Enums.MAMethod method = getSettings().getMAMethod(Inputs.METHOD);\r\n series.setDouble(index, Values.D_MA, series.ma(method, index, maPeriod, Values.D));\r\n series.setDouble(index, Values.HL_MA, series.ma(method, index, maPeriod, Values.HL));\r\n \r\n int smoothPeriod= getSettings().getInteger(SMOOTH_PERIOD);\r\n if (index < hlPeriod + maPeriod + smoothPeriod) return;\r\n \r\n Double D_SMOOTH = series.ma(method, index, smoothPeriod, Values.D_MA);\r\n Double HL_SMOOTH = series.ma(method, index, smoothPeriod, Values.HL_MA);\r\n \r\n if (D_SMOOTH == null || HL_SMOOTH == null) return;\r\n double HL2 = HL_SMOOTH/2;\r\n double SMI = 0;\r\n if (HL2 != 0) SMI = 100 * (D_SMOOTH/HL2);\r\n\r\n series.setDouble(index, Values.SMI, SMI);\r\n\r\n int signalPeriod= getSettings().getInteger(Inputs.SIGNAL_PERIOD);\r\n if (index < hlPeriod + maPeriod + smoothPeriod + signalPeriod) return;\r\n\r\n Double signal = series.ma(method, index, signalPeriod, Values.SMI);\r\n if (signal == null) return;\r\n series.setDouble(index, Values.SMI_SIGNAL, signal);\r\n\r\n \r\n \r\n } //end j bracket\r\n \r\n \r\n \r\n \r\n \r\n series2.setDouble(i, Values.MTF, sma);\r\n }\r\n\r\n // Invoke the parent method to run the \"calculate\" method below for the primary (chart) data series\r\n super.calculateValues(ctx);\r\n }","private void processSound() {\r\n if (!isEnabled) {\r\n return;\r\n }\r\n\r\n Thread.currentThread().setPriority(Thread.MAX_PRIORITY);\r\n\r\n byte[] data = new byte[line.available()];\r\n if (data.length == 0) {\r\n return;\r\n }\r\n\r\n line.read(data, 0, data.length);\r\n \r\n double[][] partitionedAndTransformedData =\r\n getPartitionedAndTransformedData(SOUND_PARTITIONS, data);\r\n \r\n double[] offMagnitudes = getPartitionedFrequencyMagnitudes(\r\n Constants.FREQUENCY_OFF,\r\n partitionedAndTransformedData,\r\n Constants.SAMPLE_RATE);\r\n double[] offOffsetMagnitudes = getPartitionedFrequencyMagnitudes(\r\n Constants.FREQUENCY_OFF + Constants.FREQUENCY_SECOND_OFFSET,\r\n partitionedAndTransformedData,\r\n Constants.SAMPLE_RATE);\r\n double[] onMagnitudes = getPartitionedFrequencyMagnitudes(\r\n Constants.FREQUENCY_ON,\r\n partitionedAndTransformedData,\r\n Constants.SAMPLE_RATE);\r\n double[] onOffsetMagnitudes = getPartitionedFrequencyMagnitudes(\r\n Constants.FREQUENCY_ON + Constants.FREQUENCY_SECOND_OFFSET,\r\n partitionedAndTransformedData,\r\n Constants.SAMPLE_RATE);\r\n \r\n double offMagnitudeSum = 0.0;\r\n double onMagnitudeSum = 0.0;\r\n \r\n for (int i = 0; i < SOUND_PARTITIONS; i++) {\r\n double offMagnitude = offMagnitudes[i] + offOffsetMagnitudes[i];\r\n double onMagnitude = onMagnitudes[i] + onOffsetMagnitudes[i];\r\n \r\n offMagnitudeSum += offMagnitude;\r\n onMagnitudeSum += onMagnitude;\r\n \r\n// System.out.printf(\"%.2f %.2f%n\", offMagnitude, onMagnitude);\r\n\r\n boolean value = onMagnitude > offMagnitude;\r\n \r\n audioSignalParser.addSignal(value);\r\n \r\n if (value) {\r\n offRunningAverage.add(offMagnitude);\r\n } else {\r\n onRunningAverage.add(onMagnitude);\r\n }\r\n }\r\n\r\n if (offRunningAverage.haveAverage() && onRunningAverage.haveAverage()) {\r\n double offMagnitudeAverage = offMagnitudeSum / SOUND_PARTITIONS;\r\n double onMagnitudeAverage = onMagnitudeSum / SOUND_PARTITIONS;\r\n\r\n boolean isLineFree = \r\n Statistics.isWithinAverage(\r\n onMagnitudeAverage,\r\n onRunningAverage.getAverage(),\r\n onRunningAverage.getStandardDeviation(),\r\n 3 /* deviations */)\r\n && Statistics.isWithinAverage(\r\n offMagnitudeAverage,\r\n offRunningAverage.getAverage(),\r\n offRunningAverage.getStandardDeviation(),\r\n 3 /* deviations */);\r\n lineActivity.add(isLineFree ? 0 : 1);\r\n }\r\n }","public double MACD(int t)\n {\n return MACD(26, 12, t);\n }","public void updatePredictions (long currTime, TimeSeries inputSeries)\n {\n\n// TODO: decide if this is necessary, it's in PPALg >>\n this.state.clearPredictionsFrom (currTime + stepSize);\n//this.state.clearPredictions();\n\n TimeSeries timeSeries = (TimeSeries) inputSeries.clone();\n\n // if timeSeries is shorter than the minimum stream do nothing.\n if (timeSeries.size() < minStreamLength)\n return;\n\n // trim the first <minPeriod> number of elements from the timeSeries.\n // this removes non-periodicity that is seen in simulators first few elements.\n\n timeSeries.trimFromStart(minPeriodLength);\n\n df.addText (\"First trim of time series : \" + timeSeries.shortToString());\n\n // find the best shift of the time series against iteself that leads to the most matching\n ArrayList shiftGraph = findBestShiftGraph (timeSeries);\n\n // trim the shifted graph to make sure we aren't starting in the middle of an event\n int amountTrimmed = trimShiftGraph (shiftGraph);\n\n df.addText (\"Trim amount : \" + amountTrimmed);\n df.addText (\"final, trimmed shift graph : \" + shiftGraph.toString());\n\n // the offset is the total amount of the time series we have discarded, it is the offset\n // to the leading edge of a periodic repeating occurence\n int offset = amountTrimmed + minPeriodLength;\n\n // create a new periodic event object\n PeriodicEvent pe = getPeriod (shiftGraph, offset);\n\n if (pe == null || pe.getEvent().isEmpty())\n {\n df.addText (\" Periodic event is null \");\n return;\n }\n\n df.addText (\" Periodic Event is : \" + pe.toString());\n\n // get the current time from which we will extrapolate\n long time = currTime;\n\n int period = pe.getPeriod();\n ArrayList event = pe.getEvent();\n\n // if we divide the timeSeries into portions the size of the time period, how much is left over?\n // for this we do not consider the trimmed amount.\n int timeSeriesSize = timeSeries.size() - amountTrimmed;\n\n if (timeSeriesSize <= period)\n return;\n int remainder = getRemainder (timeSeriesSize, period);\n df.addText (\"remainder is : \" + remainder);\n\n // cycle through the remaining portion of the last period adding any predictions based on\n // our periodic event that we have identified.\n // must subtract 1 since index is zero-base, & reaminder is one-based\n for (int i = remainder -1 ; i < event.size(); i++)\n {\n double prediction;\n\n time = time + timeSeries.getTimeIncrement();\n\n if (i >= 0 && event.get (i) != null)\n {\n prediction = ((Double) event.get(i)).doubleValue();\n\n state.addPrediction ( time, prediction);\n df.addText (\"Adding prediction : \" + prediction + \" for time : \" + time);\n }\n } // end for (i)\n\n int extrapolationCount = 2;\n\n // We make <j> additional extapolation into the future beyond the last period fragment\n while (extrapolationCount > 0)\n {\n for (int j = 0; j < event.size(); j++)\n {\n double prediction;\n\n time = time + timeSeries.getTimeIncrement();\n\n if (event.get (j) != null)\n {\n prediction = ((Double) event.get(j)).doubleValue();\n\n state.addPrediction ( time, prediction);\n df.addText (\"Adding prediction : \" + prediction + \" for time : \" + time);\n }\n } // end for (j)\n\n extrapolationCount--;\n } // end while (extapoliationCount)\n\n\n state.updateError (timeSeries, currTime);\n }","public void calcAcceleration() {\n double firstSpeed = get(0).distanceTo(get(1)) / ((get(1).getTime() - get(0).getTime()) * INTER_FRAME_TIME);\n double lastSpeed = get(length() - 2).distanceTo(get(length() - 1))\n / ((get(length() - 1).getTime() - get(length() - 2).getTime()) * INTER_FRAME_TIME);\n avgAcceleration = (firstSpeed + lastSpeed) / ((get(length() - 1).getTime() - get(0).getTime()) * INTER_FRAME_TIME);\n }","public double getSignal() {return _signal;}","public float m1284a(ac acVar, ac acVar2) {\r\n double a = C0270y.m1729a(acVar.m825c());\r\n double a2 = C0270y.m1729a(acVar.m826d());\r\n double a3 = C0270y.m1729a(acVar2.m825c());\r\n a *= this.f768q;\r\n a2 *= this.f768q;\r\n a3 *= this.f768q;\r\n double a4 = C0270y.m1729a(acVar2.m826d()) * this.f768q;\r\n double sin = Math.sin(a);\r\n double sin2 = Math.sin(a2);\r\n a = Math.cos(a);\r\n a2 = Math.cos(a2);\r\n double sin3 = Math.sin(a3);\r\n double sin4 = Math.sin(a4);\r\n a3 = Math.cos(a3);\r\n a4 = Math.cos(a4);\r\n r17 = new double[3];\r\n double[] dArr = new double[]{a * a2, a2 * sin, sin2};\r\n dArr[0] = a4 * a3;\r\n dArr[1] = a4 * sin3;\r\n dArr[2] = sin4;\r\n return (float) (Math.asin(Math.sqrt((((r17[0] - dArr[0]) * (r17[0] - dArr[0])) + ((r17[1] - dArr[1]) * (r17[1] - dArr[1]))) + ((r17[2] - dArr[2]) * (r17[2] - dArr[2]))) / 2.0d) * 1.27420015798544E7d);\r\n }","void plotLineDeltaA(int[] shades1, boolean tScreened1, int[] shades2,\n boolean tScreened2, int shadeIndex, int xA, int yA, int zA,\n int dxBA, int dyBA, int dzBA, boolean clipped) {\n x1t = xA;\n x2t = xA + dxBA;\n y1t = yA;\n y2t = yA + dyBA;\n z1t = zA;\n z2t = zA + dzBA;\n if (clipped)\n switch (getTrimmedLine()) {\n case VISIBILITY_OFFSCREEN:\n return;\n case VISIBILITY_UNCLIPPED:\n clipped = false;\n }\n plotLineClippedA(shades1, tScreened1, shades2, tScreened2, shadeIndex, xA,\n yA, zA, dxBA, dyBA, dzBA, clipped, 0, 0);\n }","private void computeAverageFrequencyDelayValue() {\n\tthis.averageFrequencyDelayValue = value * this.averageDelay;\n }","void hit(int frequency, double duration, double amplitude){\r\n \tSystem.out.println(\"Frequency: \"+frequency+\", Duration: \"+duration+\", Amplitude: \"+amplitude);\r\n \t\r\n\r\n\t\tadder.inputA.set(frequency); //fc !!!\r\n\t\tvibrato.frequency.set( frequency+80 ); // fm!!!\r\n\t\tvibrato.amplitude.set( (frequency+80)*2 ); // fm*2!!!\r\n \t\r\n\t\tint i=0;\r\n\t\tdata[i++] = 0.01;\t\t\t// Duration of first segment. \r\n\t\tdata[i++] = amplitude; \t\t// value \r\n\t\tdata[i++] = duration*0.13; \t// duration\r\n\t\t\tamplitude/=2;\r\n\t\tdata[i++] = amplitude; \t\t// value \r\n\t\tdata[i++] = duration*0.23; \t// duration \r\n\t\t\tamplitude/=2;\r\n\t\tdata[i++] = amplitude; \t\t// value \r\n\t\tdata[i++] = duration*0.23; \t// duration \r\n\t\t\tamplitude/=2;\r\n\t\tdata[i++] = amplitude; \t\t// value \r\n\t\tdata[i++] = duration*0.4; \t// duration \r\n\t\tdata[i++] = 0.0; \t\t\t// value \r\n\r\n\t\ti = 0;\r\n\t\tamplitude = 280*2;\r\n\t\tdata2[i++] = 0.01;\t\t\t// Duration of first segment. \r\n\t\tdata2[i++] = amplitude; \t\t// value \r\n\t\tdata2[i++] = duration*0.13; \t// duration\r\n\t\t\tamplitude/=2;\r\n\t\tdata2[i++] = amplitude; \t\t// value \r\n\t\tdata2[i++] = duration*0.23; \t// duration \r\n\t\t\tamplitude/=2;\r\n\t\tdata2[i++] = amplitude; \t\t// value \r\n\t\tdata2[i++] = duration*0.23; \t// duration \r\n\t\t\tamplitude/=2;\r\n\t\tdata2[i++] = amplitude; \t\t// value \r\n\t\tdata2[i++] = duration*0.4; \t// duration \r\n\t\tdata2[i++] = 0.0; \t\t\t// value \r\n\r\n\t\tenvData.write( 0, data, 0, i/2 );\r\n\t\tenvData2.write( 0, data2, 0, i/2 );\r\n \tenvPlayer.envelopePort.clear();\r\n \tenvPlayer2.envelopePort.clear();\r\n \tenvPlayer.envelopePort.queue( envData, 0, i/2 );\r\n \tenvPlayer2.envelopePort.queue( envData2, 0, i/2 );\r\n }","public void addline(int Signal, String mac, String SSID, int frequncy) {\r\n\r\n\t\tthis.wifis.add(new wifi(Signal,mac,SSID,frequncy));\r\n\t\tnumOfScans++;\r\n\t}","static double slope(Line line) {\n return (line.b == 1) ? -line.a : INF;\n }","double getAvgTreatment();","private double[][] calculateValues() throws ExafsScanPointCreatorException {\n\t\tscanTimes= new ArrayList<> ();\n\t\tdouble[][] preEdgeEnergies = createStepArray(initialEnergy, aEnergy, preEdgeStep, preEdgeTime, false,\n\t\t\t\tnumberDetectors);\n\t\tscanTimes.add(new ExafsScanRegionTime(\"PreEdge\", preEdgeEnergies.length, new double[]{preEdgeTime}));\n\t\tdouble[][] abEnergies = convertABSteps(aEnergy, bEnergy, preEdgeStep, edgeStep, preEdgeTime);\n\t\tscanTimes.add(new ExafsScanRegionTime(\"AbEdge\", abEnergies.length, new double[]{preEdgeTime}));\n\n\t\tdouble[][] bcEnergies = createStepArray(bEnergy+edgeStep, cEnergy, edgeStep, edgeTime, false, numberDetectors);\n\t\tscanTimes.add(new ExafsScanRegionTime(\"BcEnergy\", bcEnergies.length, new double[]{edgeTime}));\n\t\t// if varying time the temporarily set the exafs time to a fixed value\n\t\tif (!exafsConstantTime)\n\t\t\texafsTime = exafsFromTime;\n\n\t\tdouble[][] exafsEnergies;\n\t\tif (exafsConstantEnergyStep)\n\t\t\texafsEnergies = createStepArray(cEnergy, finalEnergy, exafsStep, exafsTime, true, numberDetectors);\n\t\telse\n\t\t\texafsEnergies = calculateExafsEnergiesConstantKStep();\n\t\t// now change all the exafs times if they vary\n\t\tif (!exafsConstantTime)\n\t\t\texafsEnergies = convertTimes(exafsEnergies, exafsFromTime, exafsToTime);\n\n\t\t// Smooth out the transition between edge and exafs region.\n\t\tfinal double[][][] newRegions = createEdgeToExafsSteps(cEnergy, exafsEnergies, edgeStep, exafsTime);\n\t\tfinal double[][] edgeToExafsEnergies = newRegions[0];\n\t\tif(edgeToExafsEnergies != null)\n\t\t\tscanTimes.add(new ExafsScanRegionTime(\"EdgetoExafs\", edgeToExafsEnergies.length, new double[]{exafsTime}));\n\t\texafsEnergies = newRegions[1];\n\n\t\t// The edgeToExafsEnergies replaces the first EXAFS_SMOOTH_COUNT\n\n\t\t// merge arrays\n\t\tdouble []exafsRegionTimeArray = new double[exafsEnergies.length];\n\t\tint k =0;\n\t\tfor(double[] exafsEnergy : exafsEnergies)\n\t\t\texafsRegionTimeArray[k++ ] = exafsEnergy[1];\n\t\tscanTimes.add(new ExafsScanRegionTime(\"Exafs\", 1, exafsRegionTimeArray));\n\t\tdouble[][] allEnergies = (double[][]) ArrayUtils.addAll(preEdgeEnergies, abEnergies);\n\t\tallEnergies = (double[][]) ArrayUtils.addAll(allEnergies, bcEnergies);\n\t\tif (edgeToExafsEnergies != null)\n\t\t\tallEnergies = (double[][]) ArrayUtils.addAll(allEnergies, edgeToExafsEnergies);\n\t\tallEnergies = (double[][]) ArrayUtils.addAll(allEnergies, exafsEnergies);\n\t\treturn allEnergies;\n\t}","static double sawtoothWave(double timeInSeconds, double frequency) {\r\n\t\treturn 0;\t\t\r\n\t}","public static double getGraidentBasedOnTradingDays(IGraphLine aLine, TreeSet<AbstractGraphPoint> listOfTradingDays) {\r\n double result = 0;\r\n if (null != aLine && null != listOfTradingDays) {\r\n AbstractGraphPoint myCurrStart = aLine.getCurrentC();\r\n AbstractGraphPoint myCurrEnd = aLine.getCurrentE();\r\n if (myCurrStart.getDateAsNumber() != myCurrEnd.getDateAsNumber()) {\r\n// TreeSet<AbstractGraphPoint> tDay = new TreeSet<AbstractGraphPoint>(AbstractGraphPoint.TimeComparator);\r\n// tDay.addAll(listOfTradingDays);\r\n //Calc P1\r\n //Get Market close time on start day\r\n Calendar endTrading = DTUtil.deepCopyCalendar(myCurrStart.getCalDate());\r\n endTrading.setTimeZone(DTConstants.EXCH_TIME_ZONE);\r\n endTrading.set(Calendar.HOUR_OF_DAY, DTConstants.EXCH_CLOSING_HOUR);\r\n endTrading.set(Calendar.MINUTE, DTConstants.EXCH_CLOSING_MIN);\r\n endTrading.set(Calendar.SECOND, DTConstants.EXCH_CLOSING_SEC);\r\n double p1 = endTrading.getTimeInMillis() - myCurrStart.getCalDate().getTimeInMillis();\r\n //double p1 = endTrading.getTimeInMillis() - (myCurrStart.getCalDate().getTimeInMillis() - DTConstants.MILLSECS_PER_HOUR);\r\n //Now calculate P2\r\n //Get Market open time on end day\r\n Calendar startTrading = DTUtil.deepCopyCalendar(myCurrEnd.getCalDate());\r\n startTrading.setTimeZone(DTConstants.EXCH_TIME_ZONE);\r\n startTrading.set(Calendar.HOUR_OF_DAY, DTConstants.EXCH_OPENING_HOUR);\r\n startTrading.set(Calendar.MINUTE, DTConstants.EXCH_OPENING_MIN);\r\n startTrading.set(Calendar.SECOND, DTConstants.EXCH_OPENING_SEC);\r\n double p2 = (myCurrEnd.getCalDate().getTimeInMillis() - startTrading.getTimeInMillis());\r\n //double p2 = (myCurrEnd.getCalDate().getTimeInMillis() - DTConstants.MILLSECS_PER_HOUR) - startTrading.getTimeInMillis();\r\n //Now calc P3\r\n //Get count of trading days from list\r\n// int currStartDay = myCurrStart.getDateAsNumber();\r\n// int currEndDay = myCurrEnd.getDateAsNumber();\r\n// NavigableSet<AbstractGraphPoint> subSet = new TreeSet<AbstractGraphPoint>();\r\n// for(AbstractGraphPoint currPoint : tDay){\r\n// int currDay = currPoint.getDateAsNumber();\r\n// if(currDay > currStartDay && currDay < currEndDay){\r\n// subSet.add(currPoint);\r\n// }\r\n// }\r\n NavigableSet<AbstractGraphPoint> subSet = listOfTradingDays.subSet(myCurrStart, false, myCurrEnd, false);\r\n ArrayList<AbstractGraphPoint> theSet = new ArrayList<AbstractGraphPoint>();\r\n theSet.addAll(subSet);\r\n for (AbstractGraphPoint currPoint : theSet) {\r\n if (currPoint.getDateAsNumber() == myCurrStart.getDateAsNumber() || currPoint.getDateAsNumber() == myCurrEnd.getDateAsNumber()) {\r\n subSet.remove(currPoint);\r\n }\r\n }\r\n double dayCount = subSet.size();\r\n double p3 = dayCount * DTUtil.msPerTradingDay();\r\n\r\n //Sum all three parts as deltaX\r\n double deltaX = p1 + p2 + p3;\r\n double deltaY = myCurrEnd.getLastPrice() - myCurrStart.getLastPrice();\r\n\r\n //Gradient is deltaY / deltaX\r\n result = deltaY / deltaX;\r\n\r\n System.out.println(\"Delta Y = \" + deltaY);\r\n System.out.println(\"Delta X = \" + deltaX);\r\n System.out.println(aLine.toString());\r\n } else {\r\n result = aLine.getGradient();\r\n System.out.println(aLine.toString());\r\n }\r\n }\r\n return result;\r\n }","public double getCalcAverage(double a15m, double a1h, double a4h, double a12h, double a1d, double a2d, double a7d) {\r\n\t\tdouble avg = 0;\r\n\t\t\r\n\t\tavg += a7d * (_7dWeight / 100.);\r\n\t\tavg += a2d * (_2dWeight / 100.);\r\n\t\tavg += a1d * (_1dWeight / 100.);\r\n\t\tavg += a12h * (_12hWeight / 100.);\r\n\t\t\r\n\t\t//This part check on whether the lower averages were null(-1) and if so assigns their weight to the higher up averages\r\n\t\tif(a4h < 0) {\r\n\t\t\tavg += a12h * ((_4hWeight + _1hWeight + _15mWeight) / 100.);\r\n\t\t}\r\n\t\telse {\r\n\t\t\tavg += a4h * (_4hWeight / 100.);\r\n\t\t\tif(a1h < 0) {\r\n\t\t\t\tavg += a4h * ((_1hWeight + _15mWeight) / 100.);\r\n\t\t\t}\r\n\t\t\telse {\r\n\t\t\t\tavg += a1h * (_1hWeight / 100.);\r\n\t\t\t\tif(a15m < 0) {\r\n\t\t\t\t\tavg += a1h * ((_15mWeight) / 100.);\r\n\t\t\t\t}\r\n\t\t\t\telse {\r\n\t\t\t\t\tavg += a15m * (_15mWeight / 100.);\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\treturn avg;\r\n\t}","public ArrayList<Double> method1(int a, int b) {\n \tif(a > b) {\n \t\tint temp = a;\n \t\ta = b;\n \t\tb = temp;\n \t}\n \t\n int nnumberofFilters = 24;\t\n int nlifteringCoefficient = b;\t//earlier value was 22, now set to a-20\n boolean oisLifteringEnabled = true;\n boolean oisZeroThCepstralCoefficientCalculated = false;\n int nnumberOfMFCCParameters = a; //earlier value was 12, now set to a-10//without considering 0-th\n double dsamplingFrequency = 8000.0;\n int nFFTLength = 512;\n ArrayList<Double> mfcc_parameters = new ArrayList<Double>();\n \n if (oisZeroThCepstralCoefficientCalculated) {\n //take in account the zero-th MFCC\n nnumberOfMFCCParameters = nnumberOfMFCCParameters + 1;\n }\n else {\n nnumberOfMFCCParameters = nnumberOfMFCCParameters;\n }\n\n MFCC mfcc = new MFCC(nnumberOfMFCCParameters,\n dsamplingFrequency,\n nnumberofFilters,\n nFFTLength,\n oisLifteringEnabled,\n nlifteringCoefficient,\n oisZeroThCepstralCoefficientCalculated);\n //simulate a frame of speech\n double[] x = new double[160];\n Random rand = new Random();\n x[2]= rand.nextDouble(); x[4]= rand.nextDouble();\n double[] dparameters = mfcc.getParameters(x);\n for (int i = 0; i < dparameters.length; i++) \n {\n \tmfcc_parameters.add(dparameters[i]);\n }\n if(Preferences.DEBUG_MODE)\n\t\t\tSystem.out.println(\"DEBUG SET MFCC result: \"+mfcc_parameters);\t \t \n \n\t\treturn mfcc_parameters;\n }","public double getCdragAnalytical (double cldin, double effaoa, double thickness, double camber)\n {\n double dragco = 0;\n int index,ifound; \n double dragCam0Thk5, dragCam5Thk5, dragCam10Thk5, dragCam15Thk5, dragCam20Thk5;\n double dragCam0Thk10, dragCam5Thk10, dragCam10Thk10, dragCam15Thk10, dragCam20Thk10;\n double dragCam0Thk15, dragCam5Thk15, dragCam10Thk15, dragCam15Thk15, dragCam20Thk15;\n double dragCam0Thk20, dragCam5Thk20, dragCam10Thk20, dragCam15Thk20, dragCam20Thk20;\n double dragThk5, dragThk10, dragThk15, dragThk20;\n double dragCam0, dragCam5, dragCam10, dragCam15, dragCam20; //used for the flat plate drag values\n\n if (current_part.foil == FOIL_JOUKOWSKI) //airfoil drag logic\n {\n //switch (in.opts.foil_drag_comp_method) {\n //case DRAG_COMP_POLY_FOILSIMORIG: {\n // thickness 5%\n dragCam0Thk5 = -9E-07*Math.pow(effaoa,3) + 0.0007*Math.pow(effaoa,2) + 0.0008*effaoa + 0.015;\n dragCam5Thk5 = 4E-08*Math.pow(effaoa,5) - 7E-07*Math.pow(effaoa,4) - 1E-05*Math.pow(effaoa,3) + 0.0009*Math.pow(effaoa,2) + 0.0033*effaoa + 0.0301;\n dragCam10Thk5 = -9E-09*Math.pow(effaoa,6) - 6E-08*Math.pow(effaoa,5) + 5E-06*Math.pow(effaoa,4) + 3E-05*Math.pow(effaoa,3) - 0.0001*Math.pow(effaoa,2) - 0.0025*effaoa + 0.0615;\n dragCam15Thk5 = 8E-10*Math.pow(effaoa,6) - 5E-08*Math.pow(effaoa,5) - 1E-06*Math.pow(effaoa,4) + 3E-05*Math.pow(effaoa,3) + 0.0008*Math.pow(effaoa,2) - 0.0027*effaoa + 0.0612;\n dragCam20Thk5 = 8E-9*Math.pow(effaoa,6) + 1E-8*Math.pow(effaoa,5) - 5E-6*Math.pow(effaoa,4) + 6E-6*Math.pow(effaoa,3) + 0.001*Math.pow(effaoa,2) - 0.001*effaoa + 0.1219;\n\n // thickness 10%\n dragCam0Thk10 = -1E-08*Math.pow(effaoa,6) + 6E-08*Math.pow(effaoa,5) + 6E-06*Math.pow(effaoa,4) - 2E-05*Math.pow(effaoa,3) - 0.0002*Math.pow(effaoa,2) + 0.0017*effaoa + 0.0196;\n dragCam5Thk10 = 3E-09*Math.pow(effaoa,6) + 6E-08*Math.pow(effaoa,5) - 2E-06*Math.pow(effaoa,4) - 3E-05*Math.pow(effaoa,3) + 0.0008*Math.pow(effaoa,2) + 0.0038*effaoa + 0.0159;\n dragCam10Thk10 = -5E-09*Math.pow(effaoa,6) - 3E-08*Math.pow(effaoa,5) + 2E-06*Math.pow(effaoa,4) + 1E-05*Math.pow(effaoa,3) + 0.0004*Math.pow(effaoa,2) - 3E-05*effaoa + 0.0624;\n dragCam15Thk10 = -2E-09*Math.pow(effaoa,6) - 2E-08*Math.pow(effaoa,5) - 5E-07*Math.pow(effaoa,4) + 8E-06*Math.pow(effaoa,3) + 0.0009*Math.pow(effaoa,2) + 0.0034*effaoa + 0.0993;\n dragCam20Thk10 = 2E-09*Math.pow(effaoa,6) - 3E-08*Math.pow(effaoa,5) - 2E-06*Math.pow(effaoa,4) + 2E-05*Math.pow(effaoa,3) + 0.0009*Math.pow(effaoa,2) + 0.0023*effaoa + 0.1581;\n\n // thickness 15%\n dragCam0Thk15 = -5E-09*Math.pow(effaoa,6) + 7E-08*Math.pow(effaoa,5) + 3E-06*Math.pow(effaoa,4) - 3E-05*Math.pow(effaoa,3) - 7E-05*Math.pow(effaoa,2) + 0.0017*effaoa + 0.0358;\n dragCam5Thk15 = -4E-09*Math.pow(effaoa,6) - 8E-09*Math.pow(effaoa,5) + 2E-06*Math.pow(effaoa,4) - 9E-07*Math.pow(effaoa,3) + 0.0002*Math.pow(effaoa,2) + 0.0031*effaoa + 0.0351;\n dragCam10Thk15 = 3E-09*Math.pow(effaoa,6) + 3E-08*Math.pow(effaoa,5) - 2E-06*Math.pow(effaoa,4) - 1E-05*Math.pow(effaoa,3) + 0.0009*Math.pow(effaoa,2) + 0.004*effaoa + 0.0543;\n dragCam15Thk15 = 3E-09*Math.pow(effaoa,6) + 5E-08*Math.pow(effaoa,5) - 2E-06*Math.pow(effaoa,4) - 3E-05*Math.pow(effaoa,3) + 0.0008*Math.pow(effaoa,2) + 0.0087*effaoa + 0.1167;\n dragCam20Thk15 = 3E-10*Math.pow(effaoa,6) - 3E-08*Math.pow(effaoa,5) - 6E-07*Math.pow(effaoa,4) + 3E-05*Math.pow(effaoa,3) + 0.0006*Math.pow(effaoa,2) + 0.0008*effaoa + 0.1859;\n\n // thickness 20%\n dragCam0Thk20 = -3E-09*Math.pow(effaoa,6) + 2E-08*Math.pow(effaoa,5) + 2E-06*Math.pow(effaoa,4) - 8E-06*Math.pow(effaoa,3) - 4E-05*Math.pow(effaoa,2) + 0.0003*effaoa + 0.0416;\n dragCam5Thk20 = -3E-09*Math.pow(effaoa,6) - 7E-08*Math.pow(effaoa,5) + 1E-06*Math.pow(effaoa,4) + 3E-05*Math.pow(effaoa,3) + 0.0004*Math.pow(effaoa,2) + 5E-05*effaoa + 0.0483;\n dragCam10Thk20 = 1E-08*Math.pow(effaoa,6) + 4E-08*Math.pow(effaoa,5) - 6E-06*Math.pow(effaoa,4) - 2E-05*Math.pow(effaoa,3) + 0.0014*Math.pow(effaoa,2) + 0.007*effaoa + 0.0692;\n dragCam15Thk20 = 3E-09*Math.pow(effaoa,6) - 9E-08*Math.pow(effaoa,5) - 3E-06*Math.pow(effaoa,4) + 4E-05*Math.pow(effaoa,3) + 0.001*Math.pow(effaoa,2) + 0.0021*effaoa + 0.139;\n dragCam20Thk20 = 3E-09*Math.pow(effaoa,6) - 7E-08*Math.pow(effaoa,5) - 3E-06*Math.pow(effaoa,4) + 4E-05*Math.pow(effaoa,3) + 0.0012*Math.pow(effaoa,2) + 0.001*effaoa + 0.1856;\n\n if (-20.0 <= camber && camber < -15.0)\n {\n dragThk5 = (camber/5 + 4)*(dragCam15Thk5 - dragCam20Thk5) + dragCam20Thk5;\n dragThk10 = (camber/5 + 4)*(dragCam15Thk10 - dragCam20Thk10) + dragCam20Thk10;\n dragThk15 = (camber/5 + 4)*(dragCam15Thk15 - dragCam20Thk15) + dragCam20Thk15;\n dragThk20 = (camber/5 + 4)*(dragCam15Thk20 - dragCam20Thk20) + dragCam20Thk20;\n \n if (1.0 <= thickness && thickness <= 5.0)\n {\n dragco = dragThk5;\n }\n else if (5.0 < thickness && thickness <= 10.0)\n { // dragco = two_pt(5.0, 10.0, dragThk5, dragThk10)\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\n }\n else if (10.0 < thickness && thickness <= 15.0)\n {\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\n }\n else if (15.0 < thickness && thickness <= 20.0)\n {\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\n }\n }\n else if (-15.0 <= camber && camber < -10.0)\n {\n dragThk5 = (camber/5 + 3)*(dragCam10Thk5 - dragCam15Thk5) + dragCam15Thk5;\n dragThk10 = (camber/5 + 3)*(dragCam10Thk10 - dragCam15Thk10) + dragCam15Thk10;\n dragThk15 = (camber/5 + 3)*(dragCam10Thk15 - dragCam15Thk15) + dragCam15Thk15;\n dragThk20 = (camber/5 + 3)*(dragCam10Thk20 - dragCam15Thk20) + dragCam15Thk20;\n\n if (1.0 <= thickness && thickness <= 5.0)\n {\n dragco = dragThk5;\n }\n else if (5.0 < thickness && thickness <= 10.0)\n {\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\n }\n else if (10.0 < thickness && thickness <= 15.0)\n {\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\n }\n else if (15.0 < thickness && thickness <= 20.0)\n {\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\n }\n }\n else if (-10.0 <= camber && camber < -5.0)\n {\n dragThk5 = (camber/5 + 2)*(dragCam5Thk5 - dragCam10Thk5) + dragCam10Thk5;\n dragThk10 = (camber/5 + 2)*(dragCam5Thk10 - dragCam10Thk10) + dragCam10Thk10;\n dragThk15 = (camber/5 + 2)*(dragCam5Thk15 - dragCam10Thk15) + dragCam10Thk15;\n dragThk20 = (camber/5 + 2)*(dragCam5Thk20 - dragCam10Thk20) + dragCam10Thk20;\n\n if (1.0 <= thickness && thickness <= 5.0)\n {\n dragco = dragThk5;\n }\n else if (5.0 < thickness && thickness <= 10.0)\n {\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\n }\n else if (10.0 < thickness && thickness <= 15.0)\n {\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\n }\n else if (15.0 < thickness && thickness <= 20.0)\n {\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\n }\n }\n else if (-5.0 <= camber && camber < 0)\n {\n dragThk5 = (camber/5 + 1)*(dragCam0Thk5 - dragCam5Thk5) + dragCam5Thk5;\n dragThk10 = (camber/5 + 1)*(dragCam0Thk10 - dragCam5Thk10) + dragCam5Thk10;\n dragThk15 = (camber/5 + 1)*(dragCam0Thk15 - dragCam5Thk15) + dragCam5Thk15;\n dragThk20 = (camber/5 + 1)*(dragCam0Thk20 - dragCam5Thk20) + dragCam5Thk20;\n\n if (1.0 <= thickness && thickness <= 5.0)\n {\n dragco = dragThk5;\n }\n else if (5.0 < thickness && thickness <= 10.0)\n {\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\n }\n else if (10.0 < thickness && thickness <= 15.0)\n {\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\n }\n else if (15.0 < thickness && thickness <= 20.0)\n {\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\n }\n }\n else if (0 <= camber && camber < 5)\n {\n dragThk5 = (camber/5)*(dragCam5Thk5 - dragCam0Thk5) + dragCam0Thk5;\n dragThk10 = (camber/5)*(dragCam5Thk10 - dragCam0Thk10) + dragCam0Thk10;\n dragThk15 = (camber/5)*(dragCam5Thk15 - dragCam0Thk15) + dragCam0Thk15;\n dragThk20 = (camber/5)*(dragCam5Thk20 - dragCam0Thk20) + dragCam0Thk20;\n\n if (1.0 <= thickness && thickness <= 5.0)\n {\n dragco = dragThk5;\n }\n else if (5.0 < thickness && thickness <= 10.0)\n {\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\n }\n else if (10.0 < thickness && thickness <= 15.0)\n {\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\n }\n else if (15.0 < thickness && thickness <= 20.0)\n {\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\n }\n }\n else if (5 <= camber && camber < 10)\n {\n dragThk5 = (camber/5 - 1)*(dragCam10Thk5 - dragCam5Thk5) + dragCam5Thk5;\n dragThk10 = (camber/5 - 1)*(dragCam10Thk10 - dragCam5Thk10) + dragCam5Thk10;\n dragThk15 = (camber/5 - 1)*(dragCam10Thk15 - dragCam5Thk15) + dragCam5Thk15;\n dragThk20 = (camber/5 - 1)*(dragCam10Thk20 - dragCam5Thk20) + dragCam5Thk20;\n\n if (1.0 <= thickness && thickness <= 5.0)\n {\n dragco = dragThk5;\n }\n else if (5.0 < thickness && thickness <= 10.0)\n {\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\n }\n else if (10.0 < thickness && thickness <= 15.0)\n {\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\n }\n else if (15.0 < thickness && thickness <= 20.0)\n {\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\n }\n }\n else if (10 <= camber && camber < 15)\n {\n dragThk5 = (camber/5 - 2)*(dragCam15Thk5 - dragCam10Thk5) + dragCam10Thk5;\n dragThk10 = (camber/5 - 2)*(dragCam15Thk10 - dragCam10Thk10) + dragCam10Thk10;\n dragThk15 = (camber/5 - 2)*(dragCam15Thk15 - dragCam10Thk15) + dragCam10Thk15;\n dragThk20 = (camber/5 - 2)*(dragCam15Thk20 - dragCam10Thk20) + dragCam10Thk20;\n\n if (1.0 <= thickness && thickness <= 5.0)\n {\n dragco = dragThk5;\n }\n else if (5.0 < thickness && thickness <= 10.0)\n {\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\n }\n else if (10.0 < thickness && thickness <= 15.0)\n {\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\n }\n else if (15.0 < thickness && thickness <= 20.0)\n {\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\n }\n }\n else if (15 <= camber && camber <= 20)\n {\n dragThk5 = (camber/5 - 3)*(dragCam20Thk5 - dragCam15Thk5) + dragCam15Thk5;\n dragThk10 = (camber/5 - 3)*(dragCam20Thk10 - dragCam15Thk10) + dragCam15Thk10;\n dragThk15 = (camber/5 - 3)*(dragCam20Thk15 - dragCam15Thk15) + dragCam15Thk15;\n dragThk20 = (camber/5 - 3)*(dragCam20Thk20 - dragCam15Thk20) + dragCam15Thk20;\n\n if (1.0 <= thickness && thickness <= 5.0)\n {\n dragco = dragThk5;\n }\n else if (5.0 < thickness && thickness <= 10.0)\n {\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\n }\n else if (10.0 < thickness && thickness <= 15.0)\n {\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\n }\n else if (15.0 < thickness && thickness <= 20.0)\n {\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\n }\n }\n } else if (current_part.foil == FOIL_ELLIPTICAL) //elliptical drag logic\n {\n dragCam0Thk5 = -6E-07*Math.pow(effaoa,3) + 0.0007*Math.pow(effaoa,2) + 0.0007*effaoa + 0.0428;\n dragCam10Thk5 = 5E-09*Math.pow(effaoa,6) - 7E-08*Math.pow(effaoa,5) - 3E-06*Math.pow(effaoa,4) + 5E-05*Math.pow(effaoa,3) + 0.0009*Math.pow(effaoa,2) - 0.0058*effaoa + 0.0758;\n dragCam20Thk5 = 1E-08*Math.pow(effaoa,6) - 2E-08*Math.pow(effaoa,5) - 7E-06*Math.pow(effaoa,4) + 1E-05*Math.pow(effaoa,3) + 0.0015*Math.pow(effaoa,2) + 0.0007*effaoa + 0.1594;\n \n dragCam0Thk10 = 3E-09*Math.pow(effaoa,6) + 4E-08*Math.pow(effaoa,5) - 3E-06*Math.pow(effaoa,4) - 9E-06*Math.pow(effaoa,3) + 0.0013*Math.pow(effaoa,2) + 0.0007*effaoa + 0.0112;\n dragCam10Thk10 = -4E-09*Math.pow(effaoa,6) - 9E-08*Math.pow(effaoa,5) + 2E-06*Math.pow(effaoa,4) + 7E-05*Math.pow(effaoa,3) + 0.0008*Math.pow(effaoa,2) - 0.0095*effaoa + 0.0657;\n dragCam20Thk10 = -8E-09*Math.pow(effaoa,6) - 9E-08*Math.pow(effaoa,5) + 3E-06*Math.pow(effaoa,4) + 6E-05*Math.pow(effaoa,3) + 0.0005*Math.pow(effaoa,2) - 0.0088*effaoa + 0.2088;\n\n dragCam0Thk20 = -7E-09*Math.pow(effaoa,6) - 1E-07*Math.pow(effaoa,5) + 4E-06*Math.pow(effaoa,4) + 6E-05*Math.pow(effaoa,3) + 0.0001*Math.pow(effaoa,2) - 0.0087*effaoa + 0.0596;\n dragCam10Thk20 = -2E-09*Math.pow(effaoa,6) + 2E-07*Math.pow(effaoa,5) + 1E-06*Math.pow(effaoa,4) - 6E-05*Math.pow(effaoa,3) + 0.0004*Math.pow(effaoa,2) - 7E-05*effaoa + 0.1114;\n dragCam20Thk20 = 4E-09*Math.pow(effaoa,6) - 7E-08*Math.pow(effaoa,5) - 3E-06*Math.pow(effaoa,4) + 3E-05*Math.pow(effaoa,3) + 0.001*Math.pow(effaoa,2) - 0.0018*effaoa + 0.1925;\n\n if (-20.0 <= camber && camber < -10.0)\n {\n dragThk5 = (camber/10 + 2)*(dragCam10Thk5 - dragCam20Thk5) + dragCam20Thk5;\n dragThk10 = (camber/10 + 2)*(dragCam10Thk10 - dragCam20Thk10) + dragCam20Thk10;\n dragThk20 = (camber/10 + 2)*(dragCam10Thk20 - dragCam20Thk20) + dragCam20Thk20;\n \n if (1.0 <= thickness && thickness <= 5.0)\n {\n dragco = dragThk5;\n }\n else if (5.0 < thickness && thickness <= 10.0)\n {\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\n }\n else if (10.0 < thickness && thickness <= 20.0)\n {\n dragco = (thickness/10 - 1)*(dragThk20 - dragThk10) + dragThk10;\n }\n }\n else if (-10.0 <= camber && camber < 0)\n {\n dragThk5 = (camber/10 + 1)*(dragCam0Thk5 - dragCam10Thk5) + dragCam10Thk5;\n dragThk10 = (camber/10 + 1)*(dragCam0Thk10 - dragCam10Thk10) + dragCam10Thk10;\n dragThk20 = (camber/10 + 1)*(dragCam0Thk20 - dragCam10Thk20) + dragCam10Thk20;\n\n if (1.0 <= thickness && thickness <= 5.0)\n {\n dragco = dragThk5;\n }\n else if (5.0 < thickness && thickness <= 10.0)\n {\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\n }\n else if (10.0 < thickness && thickness <= 20.0)\n {\n dragco = (thickness/10 - 1)*(dragThk20 - dragThk10) + dragThk10;\n }\n }\n else if (0 <= camber && camber < 10)\n {\n dragThk5 = (camber/10)*(dragCam10Thk5 - dragCam0Thk5) + dragCam0Thk5;\n dragThk10 = (camber/10)*(dragCam10Thk10 - dragCam0Thk10) + dragCam0Thk10;\n dragThk20 = (camber/10)*(dragCam10Thk20 - dragCam0Thk20) + dragCam0Thk20;\n\n if (1.0 <= thickness && thickness <= 5.0)\n {\n dragco = dragThk5;\n }\n else if (5.0 < thickness && thickness <= 10.0)\n {\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\n }\n else if (10.0 < thickness && thickness <= 20.0)\n {\n dragco = (thickness/10 - 1)*(dragThk20 - dragThk10) + dragThk10;\n }\n }\n else if (10 <= camber && camber < 20)\n {\n dragThk5 = (camber/10 - 1)*(dragCam20Thk5 - dragCam10Thk5) + dragCam10Thk5;\n dragThk10 = (camber/10 - 1)*(dragCam20Thk10 - dragCam10Thk10) + dragCam10Thk10;\n dragThk20 = (camber/10 - 1)*(dragCam20Thk20 - dragCam10Thk20) + dragCam10Thk20;\n\n if (1.0 <= thickness && thickness <= 5.0)\n {\n dragco = dragThk5;\n }\n else if (5.0 < thickness && thickness <= 10.0)\n {\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\n }\n else if (10.0 < thickness && thickness <= 20.0)\n {\n dragco = (thickness/10 - 1)*(dragThk20 - dragThk10) + dragThk10;\n }\n }\n\n } // end of FOIL_ELLIPTICAL\n else if (current_part.foil == FOIL_FLAT_PLATE) //flat plate drag logic\n {\n dragCam0 = -9E-07*Math.pow(effaoa,3) + 0.0007*Math.pow(effaoa,2) + 0.0008*effaoa + 0.015;\n dragCam5 = 1E-08*Math.pow(effaoa,6) + 4E-08*Math.pow(effaoa,5) - 9E-06*Math.pow(effaoa,4) - 1E-05*Math.pow(effaoa,3) + 0.0021*Math.pow(effaoa,2) + 0.0033*effaoa + 0.006;\n dragCam10 = -9E-09*Math.pow(effaoa,6) - 6E-08*Math.pow(effaoa,5) + 5E-06*Math.pow(effaoa,4) + 3E-05*Math.pow(effaoa,3) - 0.0001*Math.pow(effaoa,2) - 0.0025*effaoa + 0.0615;\n dragCam15 = 8E-10*Math.pow(effaoa,6) - 5E-08*Math.pow(effaoa,5) - 1E-06*Math.pow(effaoa,4) + 3E-05*Math.pow(effaoa,3) + 0.0008*Math.pow(effaoa,2) - 0.0027*effaoa + 0.0612;\n dragCam20 = 8E-9*Math.pow(effaoa,6) + 1E-8*Math.pow(effaoa,5) - 5E-6*Math.pow(effaoa,4) + 6E-6*Math.pow(effaoa,3) + 0.001*Math.pow(effaoa,2) - 0.001*effaoa + 0.1219;\n\n if (-20.0 <= camber && camber < -15.0)\n {\n dragco = (camber/5 + 4)*(dragCam15 - dragCam20) + dragCam20;\n }\n else if (-15.0 <= camber && camber < -10.0)\n {\n dragco = (camber/5 + 3)*(dragCam10 - dragCam15) + dragCam15;\n }\n else if (-10.0 <= camber && camber < -5.0)\n {\n dragco = (camber/5 + 2)*(dragCam5 - dragCam10) + dragCam10;\n }\n else if (-5.0 <= camber && camber < 0)\n {\n dragco = (camber/5 + 1)*(dragCam0 - dragCam5) + dragCam5;\n }\n else if (0 <= camber && camber < 5)\n {\n dragco = (camber/5)*(dragCam5 - dragCam0) + dragCam0;\n }\n else if (5 <= camber && camber < 10)\n {\n dragco = (camber/5 - 1)*(dragCam10 - dragCam5) + dragCam5;\n }\n else if (10 <= camber && camber < 15)\n {\n dragco = (camber/5 - 2)*(dragCam15 - dragCam10) + dragCam10;\n }\n else if (15 <= camber && camber <= 20)\n {\n dragco = (camber/5 - 3)*(dragCam20 - dragCam15) + dragCam15;\n }\n\n } // end of FOIL_FLAT_PLATE\n return dragco;\n }","private double estimateExecutionTimeSDLT(long sofar) {\n \tdouble estimate = 0;\r\n \tdouble theta = (double)sofar/1000000000L;\r\n \t/*bebe's formula*/\r\n \tSystem.out.println(\"Predict SD-LT: Elapsed time: \" + theta);\r\n \t/*should use a different formula for theta<meanX*/\r\n \tdouble xmax = 2700; //should be updated by observations during high-throughput\r\n \t\t\t\t\t\t//or read from user in conpaas\r\n \t\r\n \tdouble A = meanX/2/xmax; \r\n \t\r\n \tdouble t0 = 0.366;\r\n \tdouble sigma = 2*t0*t0*xmax;\r\n \testimate = (Math.sqrt(2*xmax*sigma)*Math.exp(-sigma/(2*xmax))-Math.sqrt(2*theta*sigma)*Math.exp(-sigma/(2*theta)))/\r\n \t\t\t\t(Math.sqrt(Math.PI)*(erfc(Math.sqrt(sigma/(2*xmax)))-erfc(Math.sqrt(sigma/(2*theta))))) \r\n \t\t\t\t- sigma;\r\n \t\r\n \treturn estimate;\r\n }","public void computeLine ()\r\n {\r\n line = new BasicLine();\r\n\r\n for (GlyphSection section : glyph.getMembers()) {\r\n StickSection ss = (StickSection) section;\r\n line.includeLine(ss.getLine());\r\n }\r\n\r\n if (logger.isFineEnabled()) {\r\n logger.fine(\r\n line + \" pointNb=\" + line.getNumberOfPoints() +\r\n \" meanDistance=\" + (float) line.getMeanDistance());\r\n }\r\n }","private double calculateAverage(Candle[] cd) {\n double sum = 0; \r\n for(Candle c : cd) {\r\n sum += c.getClose();\r\n }\r\n return sum/cd.length;\r\n \r\n }","private double[][] calculateExafsEnergiesConstantKStep() {\n\t\tdouble lowK = evToK(cEnergy);\n\t\tdouble highK = evToK(finalEnergy);\n\t\tdouble[][] kArray = createStepArray(lowK, highK, exafsStep, exafsTime, true, numberDetectors);\n\t\t// convert from k to energy in each element\n\t\tfor (int i = 0; i < kArray.length; i++)\n\t\t\tkArray[i][0] = kToEv(kArray[i][0]);\n\t\treturn kArray;\n\t}","public abstract double getCarbon();","private double calculateT(Position lineStart, Position lineEnd, double lookaheadDistance) {\n Position d = Functions.Positions.subtract(lineEnd, lineStart);\n Position f = Functions.Positions.subtract(lineStart, currentCoord);\n double r = lookaheadDistance;\n\n double a = Functions.Positions.dot(d, d);\n double b = 2 * Functions.Positions.dot(f, d);\n double c = Functions.Positions.dot(f, f) - r * r;\n\n double discriminant = b * b - 4 * a * c;\n if (discriminant < 0) {\n // no intersection\n } else {\n // ray didn't totally miss sphere, so there is a solution to the equation.\n discriminant = Math.sqrt(discriminant);\n\n // either solution may be on or off the ray so need to test both\n // t1 is always the smaller value, because BOTH discriminant and a are nonnegative.\n double t1 = (-b - discriminant) / (2 * a);\n double t2 = (-b + discriminant) / (2 * a);\n\n // 3x HIT cases:\n // -o-> --|--> | | --|->\n // Impale(t1 hit,t2 hit), Poke(t1 hit,t2>1), ExitWound(t1<0, t2 hit),\n\n // 3x MISS cases:\n // -> o o -> | -> |\n // FallShort (t1>1,t2>1), Past (t1<0,t2<0), CompletelyInside(t1<0, t2>1)\n\n if (t1 >= 0 && t1 <= 1) {\n // t1 is the intersection, and it's closer than t2 (since t1 uses -b - discriminant)\n // Impale, Poke\n return t1;\n }\n\n if (t2 >= 0 && t2 <= 1) {\n return t2;\n }\n }\n return Double.NaN;\n }","public PulseTransitTime() {\n currPTT = 0.0;\n hmPeakTimes = new ArrayList<>();\n //maf = new MovingAverage(WINDOW_SIZE);\n }","public Line(float dT, float beginningAmplitude, float endAmplitude)\n\t{\n\t\tsuper();\n\t\tlineTime = dT;\n\t\tbegAmp = beginningAmplitude;\n\t\tamp = begAmp;\n\t\tendAmp = endAmplitude;\n\t\tlineNow = 0f;\n\t\tisActivated = false;\n\t\tMinim.debug(\" dampTime = \" + lineTime + \" begAmp = \" + begAmp + \" now = \" + lineNow);\n\t}","double getAvgControl();","public void decay() {\r\n\t\tfor(int i=0;i<boxes[0];i++)\r\n\t\t\tfor(int j=0;j<boxes[1];j++)\r\n\t\t\t\tfor(int k=0;k<boxes[2];k++) quantity[i][j][k] *= (1 - decayRate*sim.getDt());\r\n\t}","public abstract double calcSA();","public double updatePeriodic()\n {\n double Angle = getRawAngle();\n\n if (FirstCall)\n {\n AngleAverage = Angle;\n }\n\n AngleAverage -= AngleAverage / NumAvgSamples;\n AngleAverage += Angle / NumAvgSamples;\n\n return (AngleAverage);\n }","private static double calculateMovingAverage(JsArrayNumber history) {\n double[] vals = new double[history.length()];\n long size = history.length();\n double sum = 0.0;\n double mSum = 0.0;\n long mCount = 0;\n\n // Check for sufficient data\n if (size >= 8) {\n // Clone the array and Calculate sum of the values\n for (int i = 0; i < size; i++) {\n vals[i] = history.get(i);\n sum += vals[i];\n }\n double mean = sum / size;\n\n // Calculate variance for the set\n double varianceTemp = 0.0;\n for (int i = 0; i < size; i++) {\n varianceTemp += Math.pow(vals[i] - mean, 2);\n }\n double variance = varianceTemp / size;\n double standardDev = Math.sqrt(variance);\n\n // Standardize the Data\n for (int i = 0; i < size; i++) {\n vals[i] = (vals[i] - mean) / standardDev;\n }\n\n // Calculate the average excluding outliers\n double deviationRange = 2.0;\n\n for (int i = 0; i < size; i++) {\n if (vals[i] <= deviationRange && vals[i] >= -deviationRange) {\n mCount++;\n mSum += history.get(i);\n }\n }\n\n } else {\n // Calculate the average (not enough data points to remove outliers)\n mCount = size;\n for (int i = 0; i < size; i++) {\n mSum += history.get(i);\n }\n }\n\n return mSum / mCount;\n }","public TrendVolatilityLineIndicator(Indicator<? extends MultipleMovingAverage> mmaIndicator, int index, TADecimal entry) {\n if (mmaIndicator == null) {\n throw new IllegalArgumentException(\"Supplied input Indicator is invalid: NULL\");\n }\n if (entry == null) {\n throw new IllegalArgumentException(\"Supplied input TADecimal entry is invalid: NULL\");\n }\n this.sustainability = Sustainability.UNKNOWN;\n this.mmaIndicator = mmaIndicator;\n this.entry = entry;\n this.tvls = new ArrayList<>();\n tvls.add(entry);\n }","public void generateTone()\n throws LineUnavailableException {\n if ( clip!=null ) {\n clip.stop();\n clip.close();\n } else {\n clip = AudioSystem.getClip();\n }\n boolean addHarmonic = harmonic.isSelected();\n\n int intSR = ((Integer)sampleRate.getSelectedItem()).intValue();\n int intFPW = framesPerWavelength.getValue();\n\n float sampleRate = (float)intSR;\n\n // oddly, the sound does not loop well for less than\n // around 5 or so, wavelengths\n int wavelengths = 20;\n byte[] buf = new byte[2*intFPW*wavelengths];\n AudioFormat af = new AudioFormat(\n sampleRate,\n 8, // sample size in bits\n 2, // channels\n true, // signed\n false // bigendian\n );\n\n int maxVol = 127;\n for(int i=0; i<intFPW*wavelengths; i++){\n double angle = ((float)(i*2)/((float)intFPW))*(Math.PI);\n buf[i*2]=getByteValue(angle);\n if(addHarmonic) {\n buf[(i*2)+1]=getByteValue(2*angle);\n } else {\n buf[(i*2)+1] = buf[i*2];\n }\n }\n\n try {\n byte[] b = buf;\n AudioInputStream ais = new AudioInputStream(\n new ByteArrayInputStream(b),\n af,\n buf.length/2 );\n\n clip.open( ais );\n } catch(Exception e) {\n e.printStackTrace();\n }\n }","void calcWave() {\n yoff += 0.01f;\n \n //For every x value, calculate a y value based on sine or cosine\n float x = yoff; //**OPTION #1****/\n //float x = 0.0f; //**OPTION #2****/\n for (int i = 0; i < yvalues.length; i++) {\n float n = 2*noise(x)-1.0f; //**OPTION #1****/ //scale noise to be between 1 and -1\n //float n = 2*noise(x,yoff)-1.0f; //**OPTION #2****/ //scale noise to be between 1 and -1\n yvalues[i] = n*amplitude;\n x+=dx;\n }\n }","public double movingAverage(int periods, int t)\n {\n if(periods>t + 1 || periods<1)\n throw new IndexOutOfBoundsException(\"MA(\" + periods + \") is undefined at time \" + t);\n double sum = 0.0;\n for(int i = t - periods + 1; i<=t; i++)\n sum += x[i];\n return sum/periods;\n }","double getSignalPeriod();","public static double trace(Matrix amat){\r\n \tdouble trac = 0.0D;\r\n \tfor(int i=0; i<Math.min(amat.ncol,amat.ncol); i++){\r\n \ttrac += amat.matrix[i][i];\r\n \t}\r\n \treturn trac;\r\n \t}","static double calculateAngle(Line2D line, ArrowEnd end) {\n \t\t// Translate the line to 0,0\n \t\tdouble x1 = line.getX1();\n \t\tdouble y1 = line.getY1();\n \t\tdouble x2 = line.getX2();\n \t\tdouble y2 = line.getY2();\n \t\tdouble opposite = y2-y1;\n \t\tdouble adjacent = x2-x1;\n \n \t\tdouble radians = Math.atan(opposite/adjacent);\n \n \t\tif (adjacent < 0) radians += Math.PI;\n \n \t\t// TODO: Flip for other end\n \t\treturn radians;\n \t}","public double getAverageAcceleration() {\n return (leftEnc.getAcceleration() + rightEnc.getAcceleration()) / 2;\n }","public double averageSteps() {\n if (day==0) return 0;\n return (double) totalSteps / day;}","public void fluctuateLine(Random randomGenerator) {\n if (this.online == true) {\n if (randomGenerator.nextInt(100) > this.stability) {\n inputFluctuator.fluctuateFrequency();\n }\n if (randomGenerator.nextInt(100) > this.stability) {\n inputFluctuator.fluctuateAmplitude();\n }\n if (randomGenerator.nextInt(100) > this.stability) {\n inputFluctuator.fluctuatePhase();\n }\n updateOscilloscopeData();\n } \n }","private double[] calculateLineEquation(Point p1, Point p2) {\n double m = ((double) p2.y - p1.y) / (p2.x - p1.x);\n double c = p1.y - (m * p1.x);\n return new double[]{m, c};\n }","public void cal_FineFuelMoisture(){\r\n\tdouble DIF=dry-wet;\r\n\tfor (int i=1;i<=3; i++){\r\n\tif ((DIF-C[i])<=0){ \r\n\t\t\r\n\t\tFFM=B[i]*Math.exp(A[i]*DIF);\r\n\t}\r\n\t}\r\n}","protected void framing(double inputSignal[]){\n double numFrames = (double)inputSignal.length / (double)(frameLength - shiftInterval);\n \n // unconditionally round up\n if ((numFrames / (int)numFrames) != 1){\n numFrames = (int)numFrames + 1;\n }\n \n // use zero padding to fill up frames with not enough samples\n double paddedSignal[] = new double[(int)numFrames * frameLength];\n for (int n = 0; n < inputSignal.length; n++){\n paddedSignal[n] = inputSignal[n];\n }\n\n frames = new double[(int)numFrames][frameLength];\n\n // break down speech signal into frames with specified shift interval to create overlap\n for (int m = 0; m < numFrames; m++){\n for (int n = 0; n < frameLength; n++){\n frames[m][n] = paddedSignal[m * (frameLength - shiftInterval) + n];\n }\n }\n }","void oscEvent(OscMessage msg) throws IOException{\n\r\n\t\tObject[] arguments = msg.arguments();\t\t\r\n\t\t\r\n\t\tTimestamp timeStamp = new Timestamp(System.currentTimeMillis());\r\n\t\t\r\n\t\t//Muse EEG headband sends a lot of signals but we are only interested in Alpha, Beta, Gamma, Delta and Theta\r\n\t\t//For more information, visit: http://developer.choosemuse.com/tools/available-data\r\n\r\n\t\t\r\n\t\t//Checking if the signal is Alpha\r\n\t\t\r\n\t\tif(msg.checkAddrPattern(\"/muse/elements/alpha_absolute\")==true) {\r\n\t\t\r\n\t\t\tSystem.out.print(\"\\n\"+timeStamp+\",\");\r\n\t\t\t\r\n\t\t\targuments = msg.arguments();\r\n\t\t\tSystem.out.println(\"float\"+msg.get(0).floatValue()+\", int:\"+msg.get(0).intValue()+\",string:\"+msg.get(0).toString()+\",long:\"+msg.get(0).longValue()+\",double\"+msg.get(0).doubleValue());\r\n\t\t\t\r\n\t\t\t//printing it out into the .csv file in a way that the average is calculated and written\r\n\t\t\r\n\t\t\tSystem.out.print(\"=(\"+arguments[0]+\"+ \");\r\n\t\t\tSystem.out.print(arguments[1]+\"+\");\r\n\t\t\tSystem.out.print(arguments[2]+\"+\");\r\n\t\t\tSystem.out.print(arguments[3]+\")/4,\");\r\n\t\t}\t\r\n\t\r\n\t\t\r\n\t\t//Check for Beta signal\r\n\t\tif(msg.checkAddrPattern(\"/muse/elements/beta_absolute\")==true) {\r\n\t\t\t\r\n\t\t\targuments = msg.arguments();\r\n\t\t\t\r\n\t\t\tSystem.out.print(\"=(\"+arguments[0]+\"+ \");\r\n\t\t\tSystem.out.print(arguments[1]+\"+\");\r\n\t\t\tSystem.out.print(arguments[2]+\"+\");\r\n\t\t\tSystem.out.print(arguments[3]+\")/4,\");\r\n\t\t}\r\n\r\n\t\t//check for Delta signal\t\r\n\t\tif(msg.checkAddrPattern(\"/muse/elements/delta_absolute\")==true) {\r\n\t\t\t\r\n\t\t\targuments = msg.arguments();\r\n\t\t\r\n\t\t\tSystem.out.print(\"=(\"+arguments[0]+\"+ \");\r\n\t\t\tSystem.out.print(arguments[1]+\"+\");\r\n\t\t\tSystem.out.print(arguments[2]+\"+\");\r\n\t\t\tSystem.out.print(arguments[3]+\")/4,\");\r\n\t\t}\r\n\t\r\n\t\t//check for Gamma signal\t\r\n\t\tif(msg.checkAddrPattern(\"/muse/elements/gamma_absolute\")==true) {\r\n\t\t\t\r\n\t\t\targuments = msg.arguments();\r\n\t\t\t\r\n\t\t\tSystem.out.print(\"=(\"+arguments[0]+\"+ \");\r\n\t\t\tSystem.out.print(arguments[1]+\"+\");\r\n\t\t\tSystem.out.print(arguments[2]+\"+\");\r\n\t\t\tSystem.out.print(arguments[3]+\")/4,\");\r\n\t\t}\r\n\r\n\t\t//Check for Theta signal\r\n\t\tif(msg.checkAddrPattern(\"/muse/elements/theta_absolute\")==true) {\r\n\t\t\t\r\n\t\t\targuments = msg.arguments();\r\n\t\t\t\r\n\t\t\tSystem.out.print(\"=(\"+arguments[0]+\"+ \");\r\n\t\t\tSystem.out.print(arguments[1]+\"+\");\r\n\t\t\tSystem.out.print(arguments[2]+\"+\");\r\n\t\t\tSystem.out.print(arguments[3]+\")/4,\");\r\n\t\t}\t\r\n\t\t\r\n\t}","public void detect_lines(float[] image,long width, long height, Lines contours, MutableLong num_result, double sigma, double low, double high, long mode, boolean compute_width, boolean correct_pos,boolean extend_lines, Junctions junctions)\r\n\t{\r\n\t byte[] ismax;\r\n\t float[] ev, n1, n2, p1, p2;\r\n\t float[][] k = new float[5][(int) (width*height)];\r\n\t \r\n\t// for (i=0;i<5;i++)\r\n\t// k[i] = xcalloc(width*height,sizeof(float));\r\n\t Convol convol = new Convol();\r\n\t convol.convolve_gauss(image,k[0],width,height,sigma,LinesUtil.DERIV_R);\r\n\t convol.convolve_gauss(image,k[1],width,height,sigma,LinesUtil.DERIV_C);\r\n\t convol.convolve_gauss(image,k[2],width,height,sigma,LinesUtil.DERIV_RR);\r\n\t convol.convolve_gauss(image,k[3],width,height,sigma,LinesUtil.DERIV_RC);\r\n\t \r\n\t convol.convolve_gauss(image,k[4],width,height,sigma,LinesUtil.DERIV_CC);\r\n\t\r\n\t ismax = new byte[(int) (width*height)];\r\n\t ev = new float[(int) (width*height)];\r\n\t n1 = new float[(int) (width*height)];\r\n\t n2 = new float[(int) (width*height)];\r\n\t p1 = new float[(int) (width*height)];\r\n\t p2 = new float[(int) (width*height)];\r\n\t /*\r\n\t * The C library function void *memset(void *str, int c, size_t n) \r\n\t * copies the character c (an unsigned char) to the first n characters \r\n\t * of the string pointed to by the argument str.\r\n\t */\r\n\t // memset(ismax,0,width*height*sizeof(*ismax));\r\n\t // memset(ev,0,width*height*sizeof(*ev));\r\n\t for(int j = 0; j < ismax.length; j++){\r\n\t\t ev[j] = 0;\r\n\t\t ismax[j] = 0;\r\n\t }\r\n\r\n\t compute_line_points(k,ismax,ev,n1,n2,p1,p2,width,height,low,high,mode);\r\n\t \r\n\t Link l = new Link();\r\n\t l.compute_contours(ismax,ev,n1,n2,p1,p2,k[0],k[1],contours,num_result,sigma,\r\n\t extend_lines,(int)mode,low,high,width,height,junctions);\r\n\t Width w = new Width();\r\n\t if (compute_width)\r\n\t w.compute_line_width(k[0],k[1],width,height,sigma,mode,correct_pos,contours,\r\n\t num_result);\r\n\r\n\t}","public void resetLine() {\n reactorLine.setCurrentFrequency(reactorLine.getBaseFrequency());\n reactorLine.setCurrentAmplitude(reactorLine.getBaseAmplitude());\n reactorLine.setCurrentPhase(reactorLine.getBasePhase());\n inputAdjuster.setCurrentFrequency(inputAdjuster.getBaseFrequency());\n inputAdjuster.setCurrentAmplitude(inputAdjuster.getBaseAmplitude());\n inputAdjuster.setCurrentPhase(inputAdjuster.getBasePhase());\n this.updateOscilloscopeData();\n }","public float getDCA();","public double calculateObservedDisagreement();","public double getTraceLineShapeArcLength()\n {\n if (_dataLineArcLength > 0) return _dataLineArcLength;\n Shape dataLineShape = ScatterTraceViewShapes.getLineShape(this, true);\n double arcLength = dataLineShape.getArcLength();\n return _dataLineArcLength = arcLength;\n }","public void recalculateDistanceFunction()\r\n {\n findBoundaryGivenPhi();\r\n \r\n active.removeAllElements();\r\n\tfor(int i=0; i<pixelsWide; i++)\r\n\t\tfor(int j=0; j<pixelsHigh; j++)\r\n\t\t\t{\r\n if(!boundary.contains(new Int2d(i,j))) phi[i][j] = phiStart;\r\n //else System.out.println(\"Boundary point at i,j = \" + i + \", \" + j + \" with phi = \" + phi[i][j]);\r\n\t\t\t}\r\n \r\n //System.out.println(\"Building Initial Band\");\r\n\tbuildInitialBand(); \r\n \r\n //System.out.println(active.size());\r\n \r\n //System.out.println(\"Running Algorithm\");\r\n\twhile(active.size()>0)\r\n\t\t{\r\n\t\trunAlgorithmStep();\r\n\t\t}\r\n\t\r\n //System.out.println(\"Distance function calculated\");\r\n\t//maxPhi = findMaxPhi();\r\n }","public void decay() {\r\n\t\tprotons -= 2;\r\n\t\tneutrons -= 2;\r\n\t}","private void jBtnFuzzyActionPerformed(java.awt.event.ActionEvent evt) {\n int rv = 0;\n String relax = jRelaxTxt.getText();\n rv = Integer.valueOf(relax);\n String ideal = jIdealTxt.getText();\n int normal = 0;\n //System.out.println(rv);\n \n //read data using readExcel class\n readExcel exData = new readExcel();\n double[][] chartData = exData.readDataset(myFile);\n \n //Line Chart with Series --used to show simulation data\n// DefaultCategoryDataset ds = new DefaultCategoryDataset();\n// final String series1 = \"max\";\n// final String series2 = \"foodCount\";\n// final String series3 = \"min\";\n// for(int i=0;i<chartData[0].length;i++){\n// ds.addValue(chartData[0][i], series1, String.valueOf(i));\n// ds.addValue(chartData[1][i], series2, String.valueOf(i));\n// ds.addValue((chartData[0][i]-rv), series3, String.valueOf(i));\n// }\n// JFreeChart simchart = ChartFactory.createLineChart(\"Simulation Result\", \"Day\", \"Value\", ds, PlotOrientation.VERTICAL, true, true, false);\n// simchart.setBackgroundPaint(Color.white);\n// final CategoryPlot plot = (CategoryPlot) simchart.getPlot();\n// plot.setBackgroundPaint(Color.lightGray);\n// plot.setRangeGridlinePaint(Color.white);\n// ChartFrame fr = new ChartFrame(\"Simulation Result\", simchart);\n// fr.setVisible(true);\n// fr.setSize(1000, 400);\n \n //fuzzy result\n DefaultCategoryDataset dataset = new DefaultCategoryDataset();\n double fx, Dx;\n \n String choice = jCBFuzzyType.getSelectedItem().toString();\n if(choice == \"One Side\"){\n for(int i=1;i<chartData[0].length;i++){\n Dx = chartData[0][i]-chartData[1][i];\n //Dx = chartData[1][i]-chartData[0][i];\n if(Dx>rv)\n fx=0;\n else\n fx=((rv+1)-Dx)/(rv+1);\n dataset.setValue(fx, \"\", String.valueOf(i));\n }\n }\n else{\n normal = Integer.valueOf(ideal);\n for(int i=1;i<chartData[0].length;i++){\n Dx = chartData[1][i]-normal;\n //Dx = chartData[1][i]-chartData[0][i];\n if(Dx>rv || Dx< -rv)\n fx=0;\n else\n fx=((rv+1)-abs(Dx))/(rv+1);\n System.out.println(\"Hasil simulasi:\"+chartData[1][i]+\" & Dx:\"+Dx+\" & fx:\"+fx);\n dataset.setValue(fx, \"\", String.valueOf(i));\n }\n }\n \n JFreeChart chart = ChartFactory.createLineChart(\"Fuzzy Requirement Satisfaction\", \"Day\", \"Fuzzy Satisfaction\", dataset, PlotOrientation.VERTICAL, false, true, false);\n CategoryPlot p = chart.getCategoryPlot();\n p.setRangeGridlinePaint(Color.DARK_GRAY);\n ChartFrame frame = new ChartFrame(\"Fuzzy Representation\",chart);\n frame.setVisible(true);\n frame.setSize(1000,400);\n\n }","void plotLineDelta(int argbA, boolean tScreenedA, int argbB,\n boolean tScreenedB, int xA, int yA, int zA, int dxBA,\n int dyBA, int dzBA, boolean clipped) {\n x1t = xA;\n x2t = xA + dxBA;\n y1t = yA;\n y2t = yA + dyBA;\n z1t = zA;\n z2t = zA + dzBA;\n if (clipped)\n switch (getTrimmedLine()) {\n case VISIBILITY_OFFSCREEN:\n return;\n case VISIBILITY_UNCLIPPED:\n clipped = false;\n break;\n }\n plotLineClipped(argbA, tScreenedA, argbB, tScreenedB, xA, yA, zA, dxBA,\n dyBA, dzBA, clipped, 0, 0);\n }","@Test\n public void getSecurityPriceTechnicalsMacdTest() throws ApiException, NoSuchMethodException {\n String identifier = null;\n Integer fastPeriod = null;\n Integer slowPeriod = null;\n Integer signalPeriod = null;\n String priceKey = null;\n String startDate = null;\n String endDate = null;\n Integer pageSize = null;\n String nextPage = null;\n ApiResponseSecurityMovingAverageConvergenceDivergence response = api.getSecurityPriceTechnicalsMacd(identifier, fastPeriod, slowPeriod, signalPeriod, priceKey, startDate, endDate, pageSize, nextPage);\n\n // TODO: test validations\n }","public double lineSlope() {\r\n //The formula to calculate the gradient.\r\n double slope;\r\n double dy = this.start.getY() - this.end.getY();\r\n double dx = this.start.getX() - this.end.getX();\r\n // line is vertical\r\n if (dx == 0 && dy != 0) {\r\n slope = Double.POSITIVE_INFINITY;\r\n return slope;\r\n }\r\n // line is horizontal\r\n if (dy == 0 && dx != 0) {\r\n slope = 0;\r\n return slope;\r\n }\r\n slope = dy / dx;\r\n return slope;\r\n }","private float[] dynamicAccDiff(float[] acc, float[] gyr,float[] gravity, float[] oldAcc, float[] oldGyr)\n {\n float[] dynAccDiff = new float[]{0.0f, 0.0f, 0.0f};\n float[] accDiff = accDiff(oldAcc, acc);\n float[] gyrDiff = gyrDiff(oldGyr, gyr);\n float[] graDiff = graDiff(gravity, gyrDiff);\n\n for (int i = 0; i < 3; i++)\n {\n dynAccDiff[i] = accDiff[i]-graDiff[i];\n }\n\n return dynAccDiff;\n\n }","private void computeHazardCurve() {\n\n //flag to initialise if Deterministic Model Calc have been completed\n deterministicCalcDone=false;\n\n //checks how many SA Periods has been completed\n this.numSA_PeriodValDone =0;\n\n //flag to check whether Hazard Curve Calc are done\n hazCalcDone = false;\n\n //gets the Label for the Y-axis for the earlier grph\n String oldY_AxisLabel=\"\";\n if(totalProbFuncs.getYAxisName() !=null)\n oldY_AxisLabel = totalProbFuncs.getYAxisName();\n\n // get the selected IMR\n AttenuationRelationship imr = (AttenuationRelationship)imrGuiBean.getSelectedIMR_Instance();\n\n // make a site object to pass to IMR\n Site site = siteGuiBean.getSite();\n\n // intialize the hazard function\n ArbitrarilyDiscretizedFunc hazFunction = new ArbitrarilyDiscretizedFunc();\n ArbitrarilyDiscretizedFunc tempHazFunction = new ArbitrarilyDiscretizedFunc();\n\n //what selection does the user have made, IML@Prob or Prob@IML\n String imlOrProb=imlProbGuiBean.getSelectedOption();\n //gets the IML or Prob value filled in by the user\n double imlProbValue=imlProbGuiBean.getIML_Prob();\n boolean imlAtProb = false, probAtIML = false;\n if(imlOrProb.equalsIgnoreCase(imlProbGuiBean.IML_AT_PROB)){\n //if the old Y axis Label not equal to the IML then clear plot and draw the chart again\n if(!this.IML.equalsIgnoreCase(oldY_AxisLabel))\n this.clearPlot(true);\n totalProbFuncs.setYAxisName(this.IML);\n imlAtProb=true;\n }\n else{\n //if the old Y axis Label not equal to the Prob then clear plot and draw the chart again\n if(!this.PROB_AT_EXCEED.equalsIgnoreCase(oldY_AxisLabel))\n this.clearPlot(true);\n totalProbFuncs.setYAxisName(this.PROB_AT_EXCEED);\n probAtIML=true;\n }\n\n //If the user has chosen the Probabilistic\n if(((String)probDeterSelection.getSelectedItem()).equalsIgnoreCase(this.PROBABILISTIC)){\n this.isEqkList = false;\n // whwther to show progress bar in case of update forecast\n erfGuiBean.showProgressBar(this.progressCheckBox.isSelected());\n // get the selected forecast model\n EqkRupForecastBaseAPI eqkRupForecast = null;\n try{\n //gets the instance of the selected ERF\n eqkRupForecast = erfGuiBean.getSelectedERF();\n }catch(Exception e){\n e.printStackTrace();\n }\n if(this.progressCheckBox.isSelected()) {\n progressClass = new CalcProgressBar(\"Hazard-Curve Calc Status\", \"Beginning Calculation \");\n progressClass.displayProgressBar();\n timer.start();\n }\n\n // check whether this forecast is a Forecast List\n // if this is forecast list , handle it differently\n boolean isEqkForecastList = false;\n if(eqkRupForecast instanceof ERF_EpistemicList) {\n handleForecastList(site, imr, eqkRupForecast,imlProbValue,imlAtProb,probAtIML);\n this.hazCalcDone = true;\n return;\n }\n\n // this is not a eqk list\n this.isEqkList = false;\n\n try{\n // set the value for the distance from the distance control panel\n if(distanceControlPanel!=null) calc.setMaxSourceDistance(distanceControlPanel.getDistance());\n }catch(RemoteException e){\n e.printStackTrace();\n }\n // initialize the values in condProbfunc with log values as passed in hazFunction\n initX_Values(tempHazFunction,imlProbValue,imlAtProb,probAtIML);\n\n try {\n //iterating over all the SA Periods for the IMR's\n for(int i=0;i< numSA_PeriodVals;++i){\n double saPeriodVal = ((Double)this.saPeriodVector.get(i)).doubleValue();\n imr.getParameter(this.SA_PERIOD).setValue(this.saPeriodVector.get(i));\n try{\n // calculate the hazard curve for each SA Period\n calc.getHazardCurve(tempHazFunction, site, imr, (EqkRupForecast)eqkRupForecast);\n }catch(RemoteException e){\n e.printStackTrace();\n }\n //number of SA Periods for which we have ran the Hazard Curve\n this.numSA_PeriodValDone =i;\n hazFunction.setInfo(\"\\n\"+getCurveParametersInfo()+\"\\n\");\n double val = getHazFuncIML_ProbValues(tempHazFunction,imlProbValue,imlAtProb,probAtIML);\n hazFunction.set(saPeriodVal,val);\n }\n }catch (RuntimeException e) {\n JOptionPane.showMessageDialog(this, e.getMessage(),\n \"Parameters Invalid\", JOptionPane.INFORMATION_MESSAGE);\n return;\n }\n }\n else{ //If the Deterministic has been chosen by the user\n imr.setSite(site);\n try{\n imr.setEqkRupture(this.erfRupSelectorGuiBean.getRupture());\n }catch (Exception ex) {\n timer.stop();\n JOptionPane.showMessageDialog(this, \"Rupture not allowed for the chosen IMR: \"+ex.getMessage());\n this.repaint();\n this.validate();\n return;\n }\n\n if(this.progressCheckBox.isSelected()) {\n progressClass = new CalcProgressBar(\"Hazard-Curve Calc Status\", \"Beginning Calculation \");\n progressClass.displayProgressBar();\n timer.start();\n }\n\n //if the user has selectde the Prob@IML\n if(probAtIML)\n //iterating over all the SA Periods for the IMR's\n for(int i=0;i< this.numSA_PeriodVals;++i){\n double saPeriodVal = ((Double)this.saPeriodVector.get(i)).doubleValue();\n imr.getParameter(this.SA_PERIOD).setValue(this.saPeriodVector.get(i));\n double imlLogVal = Math.log(imlProbValue);\n //double val = 0.4343*Math.log(imr.getExceedProbability(imlLogVal));\n double val = imr.getExceedProbability(imlLogVal);\n //adding values to the hazard function\n hazFunction.set(saPeriodVal,val);\n //number of SA Periods for which we have ran the Hazard Curve\n this.numSA_PeriodValDone =i;\n }\n else //if the user has selected IML@prob\n //iterating over all the SA Periods for the IMR\n for(int i=0;i<this.numSA_PeriodVals;++i){\n double saPeriodVal = ((Double)(saPeriodVector.get(i))).doubleValue();\n imr.getParameter(this.SA_PERIOD).setValue(this.saPeriodVector.get(i));\n imr.getParameter(imr.EXCEED_PROB_NAME).setValue(new Double(imlProbValue));\n //double val = 0.4343*imr.getIML_AtExceedProb();\n //adding values to the Hazard Function\n double val = Math.exp(imr.getIML_AtExceedProb());\n hazFunction.set(saPeriodVal,val);\n //number of SA Periods for which we have ran the Hazard Curve\n this.numSA_PeriodValDone =i;\n }\n this.deterministicCalcDone = true;\n }\n\n // add the function to the function list\n totalProbFuncs.add(hazFunction);\n //checks whether the Hazard Curve Calculation are complete\n hazCalcDone = true;\n // set the X-axis label\n totalProbFuncs.setXAxisName(X_AXIS_LABEL);\n\n }","private void drawTimeLineForLine(Graphics2D g2d, RenderContext myrc, Line2D line, \n Composite full, Composite trans,\n int tl_x0, int tl_x1, int tl_w, int tl_y0, int tl_h, \n long ts0, long ts1) {\n g2d.setComposite(full); \n\t// Parametric formula for line\n double dx = line.getX2() - line.getX1(), dy = line.getY2() - line.getY1();\n\tdouble len = Utils.length(dx,dy);\n\tif (len < 0.001) len = 0.001; dx = dx/len; dy = dy/len; double pdx = dy, pdy = -dx;\n\tif (pdy < 0.0) { pdy = -pdy; pdx = -pdx; } // Always point down\n double gather_x = line.getX1() + dx*len/2 + pdx*40, gather_y = line.getY1() + dy*len/2 + pdy*40;\n\n\t// Find the bundles, for this with timestamps, construct the timeline\n\tSet<Bundle> set = myrc.line_to_bundles.get(line);\n\tIterator<Bundle> itb = set.iterator(); double x_sum = 0.0; int x_samples = 0;\n while (itb.hasNext()) {\n\t Bundle bundle = itb.next();\n\t if (bundle.hasTime()) { x_sum += (int) (tl_x0 + (tl_w*(bundle.ts0() - ts0))/(ts1 - ts0)); x_samples++; }\n }\n\tif (x_samples == 0) return;\n\tdouble x_avg = x_sum/x_samples;\n ColorScale timing_marks_cs = RTColorManager.getTemporalColorScale();\n itb = set.iterator();\n\twhile (itb.hasNext()) { \n\t Bundle bundle = itb.next();\n\n\t if (bundle.hasTime()) {\n double ratio = ((double) (bundle.ts0() - ts0))/((double) (ts1 - ts0));\n\t g2d.setColor(timing_marks_cs.at((float) ratio));\n\n\t int xa = (int) (tl_x0 + (tl_w*(bundle.ts0() - ts0))/(ts1 - ts0));\n // g2d.setComposite(full); \n g2d.draw(line);\n\t if (bundle.hasDuration()) {\n int xb = (int) (tl_x0 + (tl_w*(bundle.ts1() - ts0))/(ts1 - ts0)); \n double r = (tl_h-2)/2;\n g2d.fill(new Ellipse2D.Double(xa-r,tl_y0-tl_h/2-r,2*r,2*r));\n g2d.fill(new Ellipse2D.Double(xb-r,tl_y0-tl_h/2-r,2*r,2*r));\n if (xa != xb) g2d.fill(new Rectangle2D.Double(xa, tl_y0-tl_h/2-r, xb-xa, 2*r));\n\t if (xa != xb) { g2d.drawLine(xa,tl_y0-tl_h,xb,tl_y0); g2d.drawLine(xa,tl_y0, xb,tl_y0); }\n\t }\n\t g2d.drawLine(xa,tl_y0-tl_h,xa,tl_y0); // Make it slightly higher at the start\n double x0 = line.getX1() + dx * len * 0.1 + dx * len * 0.8 * ratio,\n\t y0 = line.getY1() + dy * len * 0.1 + dy * len * 0.8 * ratio;\n\t g2d.draw(new CubicCurve2D.Double(x0, y0, \n x0 + pdx*10, y0 + pdy*10,\n gather_x - pdx*10, gather_y - pdy*10,\n gather_x, gather_y));\n g2d.draw(new CubicCurve2D.Double(gather_x, gather_y, \n\t gather_x + pdx*40, gather_y + pdy*40,\n\t\t\t\t\t x_avg, tl_y0 - 10*tl_h, \n\t x_avg, tl_y0 - 8*tl_h));\n g2d.draw(new CubicCurve2D.Double(x_avg, tl_y0 - 8*tl_h,\n (x_avg+xa)/2, tl_y0 - 6*tl_h,\n xa, tl_y0 - 2*tl_h,\n xa, tl_y0 - tl_h/2));\n }\n\t}\n }","public void updateChart() {\n\t\tdouble val_min = Double.MAX_VALUE;\n\t\tdouble val_max = -Double.MAX_VALUE;\n\t\tVector<CurveData> cdV = new Vector<CurveData>();\n\n\t\tint maxMarkLength = 1;\n\t\tint nClmns = barColumns.size();\n\t\tint nMaxLines = 0;\n\t\tfor ( final BarColumn bc : barColumns ) {\n\t\t\tif (bc.show()) {\n\t\t\t\tfor (int j = 0; j < bc.size(); j++) {\n\t\t\t\t\tif (val_min > bc.value(j)) {\n\t\t\t\t\t\tval_min = bc.value(j);\n\t\t\t\t\t}\n\t\t\t\t\tif (val_max < bc.value(j)) {\n\t\t\t\t\t\tval_max = bc.value(j);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tif (nMaxLines < bc.size()) {\n\t\t\t\tnMaxLines = bc.size();\n\t\t\t}\n\t\t\tif (maxMarkLength < bc.marker().length()) {\n\t\t\t\tmaxMarkLength = bc.marker().length();\n\t\t\t}\n\t\t}\n\n\t\tString tmp_str = \"\";\n\t\tfor (int i = 0; i < maxMarkLength; i++) {\n\t\t\ttmp_str = tmp_str + \" \";\n\t\t}\n\t\temptyStr = tmp_str;\n\n\t\t//System.out.println(\"debug =========== val_min=\" + val_min + \" val_max=\" + val_max);\n\n\t\tif (val_min * val_max > 0.) {\n\t\t\tif (val_min > 0.) {\n\t\t\t\tval_min = 0.;\n\t\t\t} else {\n\t\t\t\tval_max = 0.;\n\t\t\t}\n\t\t}\n\n\t\tint iMin = GP.getScreenX(GP.getCurrentMinX());\n\t\tint iMax = GP.getScreenX(GP.getCurrentMaxX());\n\t\t//System.out.println(\"debug iMin=\" + iMin + \" iMax=\" + iMax);\n\t\twidth = (int) ((iMax - iMin) / (1.9 * nMaxLines * nClmns));\n\t\t//System.out.println(\"debug width=\" + width);\n\t\tif (width < 1) {\n\t\t\twidth = 1;\n\t\t}\n\n\t\t//make line from\n\t\tCurveData cd = cvV.get(0);\n\t\tif (nClmns > 0) {\n\t\t\tcd.clear();\n\t\t\tcd.addPoint(0., 0.);\n\t\t\tcd.addPoint(1.0 * (nClmns + 1), 0.);\n\t\t\tcd.setColor(Color.black);\n\t\t\tcd.setLineWidth(1);\n\t\t\tcd.findMinMax();\n\t\t\tcdV.add(cd);\n\t\t}\n\n\t\tint cvCount = 1;\n\t\tfor (int i = 1; i <= nClmns; i++) {\n\t\t\tBarColumn bc = barColumns.get(i - 1);\n\t\t\tif (bc.show()) {\n\t\t\t\tdouble d_min = i - 0.35;\n\t\t\t\tdouble d_max = i + 0.35;\n\t\t\t\tint nL = bc.size();\n\t\t\t\tdouble st = (d_max - d_min) / nL;\n\t\t\t\tfor (int j = 0; j < nL; j++) {\n\t\t\t\t\tif (bc.show(j)) {\n\t\t\t\t\t\tif(cvCount < cvV.size()){\n\t\t\t\t\t\t\tcd = cvV.get(cvCount);\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse{\n\t\t\t\t\t\t\tcd = new CurveData();\n\t\t\t\t\t\t\tcvV.add(cd);\n\t\t\t\t\t\t}\n\t\t\t\t\t\tcd.clear();\n\t\t\t\t\t\tcd.addPoint(d_min + (j + 0.5) * st, 0.);\n\t\t\t\t\t\tcd.addPoint(d_min + (j + 0.5) * st, bc.value(j));\n\t\t\t\t\t\tcd.setLineWidth(width);\n\t\t\t\t\t\tif (bc.getColor(j) == null) {\n\t\t\t\t\t\t\tcd.setColor(bcColor.getColor(j));\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tcd.setColor(bc.getColor(j));\n\t\t\t\t\t\t}\n\t\t\t\t\t\tcd.findMinMax();\n\t\t\t\t\t\tcdV.add(cd);\n\t\t\t\t\t\tcvCount++;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t//System.out.println(\"debug ===========start plotting=============== nClmns= \" + nClmns);\n\t\tif (val_min < val_max) {\n\t\t\tformatter.makeAnalysis(val_min, val_max);\n\t\t\tGP.setNumberFormatY(formatter.getFormat());\n\t\t\tGP.setLimitsAndTicksY(formatter.getMin(), formatter.getMax(), formatter.getStep());\n\t\t}\n\n\t\tif (barColumns.size() >= 10) {\n\t\t\tGP.getCurrentGL().setXminOn(false);\n\t\t\tGP.getCurrentGL().setXmaxOn(false);\n\t\t}\n\n\t\tif (cdV.size() > 0) {\n\t\t\tGP.setCurveData(cdV);\n\t\t} else {\n\t\t\tGP.removeAllCurveData();\n\t\t}\n\t}","double getAxon();","void format05(String line, int lineCount) {\n\n float spldepDifference = 0f;\n\n // is this the first record in the file?\n checkFirstRecord(code, lineCount);\n\n String tmpStationId = \"\";\n String tmpSubdes = \"\";\n float tmpSpldep = -9999f;\n\n // get the data off the line\n java.util.StringTokenizer t = new java.util.StringTokenizer(line, \" \");\n String dummy = t.nextToken(); // get 'rid' of the code\n\n int subCode = 0;\n if (dataType == WATERWOD) {\n if (t.hasMoreTokens()) subCode = toInteger(t.nextToken());\n switch (subCode) {\n case 1: if (t.hasMoreTokens()) t.nextToken(); //watProfQC.setStationId(toString(t.nextToken()));\n if (t.hasMoreTokens()) //set profile temperature quality flag\n watProfQC.setTemperature((toInteger(t.nextToken())));\n if (t.hasMoreTokens()) //set profile salinity quality flag\n watProfQC.setSalinity((toInteger(t.nextToken())));\n if (t.hasMoreTokens()) //set profile disoxygen quality flag\n watProfQC.setDisoxygen((toInteger(t.nextToken())));\n break;\n\n } // switch (subCode)\n } // if (dataType = WATERWOD)\n if (dbg) System.out.println(\"format05: subCode = \" + subCode);\n\n if (dataType == CURRENTS) {\n\n //01 a2 format code always \"05\" n/a\n //02 a12 stnid station id: composed as for format 03 currents\n //03 f7.2 sample depth in m currents\n //04 i3 current dir in deg TN currents\n //05 f5.2 current speed in m/s currents\n\n if (t.hasMoreTokens()) currents.setStationId(toString(t.nextToken()));\n if (t.hasMoreTokens()) currents.setSpldep(toFloat(t.nextToken(), 1f));\n if (t.hasMoreTokens()) currents.setCurrentDir(toInteger(t.nextToken()));\n if (t.hasMoreTokens()) currents.setCurrentSpeed(toFloat(t.nextToken(), 1f));\n\n tmpStationId = currents.getStationId(\"\");\n tmpSubdes = currents.getSubdes(\"\");\n tmpSpldep = currents.getSpldep();\n\n } else if (dataType == SEDIMENT) {\n\n // This is a new sub-station record - set flags for code 06 to 13\n // to false\n code06Count = 0;\n code07Count = 0;\n //code08Count = 0;\n code09Count = 0;\n //code10Count = 0;\n code11Count = 0;\n code12Count = 0;\n code13Count = 0;\n\n //01 a2 format code always “05\" n/a\n //02 a12 stnid station id: composed as for format 03 sedphy\n //03 f7.2 sample depth in m sedphy\n //04 f6.3 cod mg O2 / litre sedphy\n //05 f8.4 dwf sedphy\n //06 i5 meanpz µns sedphy\n //07 i5 medipz µns sedphy\n //08 f8.3 kurt sedphy\n //09 f8.3 skew sedphy\n\n if (t.hasMoreTokens()) sedphy.setStationId(toString(t.nextToken()));\n if (t.hasMoreTokens()) sedphy.setSpldep(toFloat(t.nextToken(), 1f));\n if (t.hasMoreTokens()) sedphy.setCod(toFloat(t.nextToken(), 1f));\n if (t.hasMoreTokens()) sedphy.setDwf(toFloat(t.nextToken(), 1f));\n if (t.hasMoreTokens()) sedphy.setMeanpz(toInteger(t.nextToken()));\n if (t.hasMoreTokens()) sedphy.setMedipz(toInteger(t.nextToken()));\n if (t.hasMoreTokens()) sedphy.setKurt(toFloat(t.nextToken(), 1f));\n if (t.hasMoreTokens()) sedphy.setSkew(toFloat(t.nextToken(), 1f));\n\n tmpStationId = sedphy.getStationId(\"\");\n tmpSubdes = sedphy.getSubdes(\"\");\n tmpSpldep = sedphy.getSpldep();\n if (dbg) System.out.println(\"<br>format05: subdes = \" + subdes +\n \", sedphy.getSubdes() = \" + sedphy.getSubdes(\"\"));\n if (dbg) System.out.println(\"<br>format05: tmpSpldep = \" + tmpSpldep);\n\n } else if ((dataType == WATER) || (dataType == WATERWOD)) {\n\n // This is a new sub-station record - set flags for code 06 to 13\n // to false\n code06Count = 0;\n code07Count = 0;\n code08Count = 0;\n code09Count = 0;\n code10Count = 0;\n code11Count = 0;\n code12Count = 0;\n code13Count = 0;\n\n // subCode = 1 - ignore\n // subCode = 0 (WATER) or subCode = 2 (WATERWOD)\n if (subCode != 1) {\n //01 a2 format code always \"05\" n/a\n //02 a12 stnid station id: composed as for format 03 watphy\n //03 f7.2 sample depth in m watphy\n //04 f5.2 temperature in deg C watphy\n //05 f6.3 salinity in parts per thousand (?) watphy\n //06 f5.2 dis oxygen in ml / litre watphy\n\n if (t.hasMoreTokens()) watphy.setStationId(toString(t.nextToken()));\n if (t.hasMoreTokens()) watphy.setSpldep(toFloat(t.nextToken(), 1f));\n if ((dataType == WATERWOD) && (t.hasMoreTokens())) // set spldep quality flag\n watQC.setSpldep((toInteger(t.nextToken())));\n\n if (t.hasMoreTokens()) watphy.setTemperature(toFloat(t.nextToken(), 1f));\n if ((dataType == WATERWOD) && (t.hasMoreTokens())) // set temperature quality flag\n watQC.setTemperature((toInteger(t.nextToken())));\n\n if (t.hasMoreTokens()) watphy.setSalinity(toFloat(t.nextToken(), 1f));\n if ((dataType == WATERWOD) && (t.hasMoreTokens())) // set salinity quality flag\n watQC.setSalinity((toInteger(t.nextToken())));\n\n if (t.hasMoreTokens()) watphy.setDisoxygen(toFloat(t.nextToken(), 1f));\n if ((dataType == WATERWOD) && (t.hasMoreTokens())) // set disoxygen quality flag\n watQC.setDisoxygen((toInteger(t.nextToken())));\n\n if (t.hasMoreTokens()) watphy.setTurbidity(toFloat(t.nextToken(), 1f));\n if (t.hasMoreTokens()) watphy.setPressure(toFloat(t.nextToken(), 1f)); // ub09\n if (t.hasMoreTokens()) watphy.setFluorescence(toFloat(t.nextToken(), 1f)); // ub09\n\n if (watphy.getSpldep() == Tables.FLOATNULL) { // ub11\n if ((watphy.getPressure() != Tables.FLOATNULL) && // ub11\n (station.getLatitude() != Tables.FLOATNULL)) { // ub11\n watphy.setSpldep( // ub11\n calcDepth(watphy.getPressure(), // ub11\n station.getLatitude())); // ub11\n } // if ((watphy.getPressure() != Tables.FLOATNULL) && .// ub11\n } // if (watphy.getSpldep() == Tables.FLOATNULL) // ub11\n\n tmpStationId = watphy.getStationId(\"\");\n tmpSubdes = watphy.getSubdes(\"\");\n tmpSpldep = watphy.getSpldep();\n if (dbg) System.out.println(\"<br>format05: subdes = \" + subdes +\n \", watphy.getSubdes() = \" + watphy.getSubdes(\"\"));\n } // if (subCode != 1)\n\n } // if (dataType == CURRENTS)\n\n // subCode = 1 - ignore\n // subCode = 0 (WATER/CURRENTS/SEDIMENT) or subCode = 2 (WATERWOD)\n if (subCode != 1) {\n // station Id must match that of previous station record\n checkStationId(lineCount, tmpStationId);\n\n // samples must be at least 0.5 metre deeper than the previous.\n // If this is not the case, reject the sample.\n // Only valid for CTD-type data, not for XBT or currents\n if (\"CTD\".equals(tmpSubdes)) {\n if (\"U\".equals(upIndicator)) {\n spldepDifference = prevDepth - tmpSpldep;\n } else {\n spldepDifference = tmpSpldep - prevDepth;\n } // if (\"U\".equals(upIndicator))\n } else {\n spldepDifference = 1f;\n } // if (\"CTD\".equals(tmpSubdes))\n\n if ((spldepDifference < 0.5f) && (tmpSpldep != 0f) &&\n (prevDepth != 0f)) {\n rejectDepth = true;\n stationSampleRejectCount++;\n sampleRejectCount++;\n\n if ((dataType == WATER) || (dataType == WATERWOD)) {\n watchem1 = new MrnWatchem1();\n watchem1 = new MrnWatchem1();\n watchl = new MrnWatchl();\n watnut = new MrnWatnut();\n watpol1 = new MrnWatpol1();\n watpol2 = new MrnWatpol2();\n } // if ((dataType == WATER) || (dataType == WATERWOD))\n if (dataType == WATERWOD) {\n watQC = new MrnWatqc();\n } // if (dataType == WATERWOD)\n } else {\n rejectDepth = false;\n prevDepth = tmpSpldep;\n\n // update the minimum and maximum depth\n if (tmpSpldep < depthMin) {\n depthMin = tmpSpldep;\n } // if (tmpSpldep < depthMin)\n if (tmpSpldep > depthMax) {\n depthMax = tmpSpldep;\n } // if (tmpSpldep < depthMin)\n\n } // if ((spldepDifference < 0.5f) &&\n\n // update the counters\n sampleCount++;\n stationSampleCount++;\n\n if (dbg) System.out.println(\"<br>format05: depthMax = \" + depthMax);\n // keep the maximum depth for the station\n station.setMaxSpldep(depthMax);\n //if (dbg) System.out.println(\"format05: station = \" + station);\n if (dbg) {\n if (dataType == CURRENTS) {\n System.out.println(\"<br>format05: currents = \" + currents);\n } else if (dataType == SEDIMENT) {\n System.out.println(\"<br>format05: sedphy = \" + sedphy);\n } else if (dataType == WATER) {\n System.out.println(\"<br>format05: watphy = \" + watphy);\n } else if (dataType == WATERWOD) {\n System.out.println(\"format05: watProfQC = \" + watProfQC);\n System.out.println(\"format05: watQC = \" + watQC);\n System.out.println(\"format05: watphy = \" + watphy);\n } // if (dataType == CURRENTS)\n } // if (dbg)\n\n } // if (subCode != 1)\n\n }","public void decay()\n\t{\n\t\tprotons -= 2;\n\t\tneutrons -= 2;\n\t}","private double kToEv(double value) {\n\t\treturn Converter.convertWaveVectorToEnergy(value, edgeEnergy);\n\t}","public KochLine getLineA(){\n\t\tKochLine lineA= new KochLine(p1,p2);\n\t\treturn lineA;\n\t\t\n\t}","static void SKP_Silk_MA(short[] in, /* I: input signal */\n\t\tint in_offset, short[] B, /* I: MA coefficients, Q13 [order+1] */\n\t\tint[] S, /* I/O: state vector [order] */\n\t\tshort[] out, /* O: output signal */\n\t\tint out_offset, final int len, /* I: signal length */\n\t\tfinal int order /* I: filter order */\n\t)\n\t{\n\t\tint k, d, in16;\n\t\tint out32;\n\n\t\tfor (k = 0; k < len; k++) {\n\t\t\tin16 = in[in_offset + k];\n\t\t\tout32 = SKP_SMLABB(S[0], in16, B[0]);\n\t\t\tout32 = SigProcFIX.SKP_RSHIFT_ROUND(out32, 13);\n\n\t\t\tfor (d = 1; d < order; d++) {\n\t\t\t\tS[d - 1] = SKP_SMLABB(S[d], in16, B[d]);\n\t\t\t}\n\t\t\tS[order - 1] = SKP_SMULBB(in16, B[order]);\n\n\t\t\t/* Limit */\n\t\t\tout[out_offset + k] = (short) SigProcFIX.SKP_SAT16(out32);\n\t\t}\n\t}","static void CALC_FCSLOT(OPL_CH CH, OPL_SLOT SLOT) {\n int ksr;\n\n /* frequency step counter */\n /*RECHECK*/\n SLOT.Incr = ((CH.fc * SLOT.mul) & 0xFFFFFFFFL);\n ksr = CH.kcode >> SLOT.KSR;\n\n if (SLOT.ksr != (ksr & 0xFF)) {\n /*RECHECK*/\n SLOT.ksr = ksr & 0xFF;\n /* attack , decay rate recalcration */\n SLOT.evsa = SLOT.AR.read(ksr);\n SLOT.evsd = SLOT.DR.read(ksr);\n SLOT.evsr = SLOT.RR.read(ksr);\n }\n SLOT.TLL = (int) (SLOT.TL + (CH.ksl_base >> SLOT.ksl));\n }","@Override\n\tpublic void update(int timeStep)\n\t{\n\t\tthis.checkForNewAppliancesAndUpdateConstants();\n\n\t\tdouble[] ownersCostSignal = this.owner.getPredictedCostSignal();\n\t\tthis.dayPredictedCostSignal = Arrays.copyOfRange(ownersCostSignal, timeStep % ownersCostSignal.length, timeStep\n\t\t\t\t% ownersCostSignal.length + this.ticksPerDay);\n\n\t\tif (this.mainContext.logger.isTraceEnabled())\n\t\t{\n\t\t\tthis.mainContext.logger.trace(\"update\");\n\t\t}\n\n\t\tif (this.mainContext.logger.isTraceEnabled())\n\t\t{\n\t\t\tthis.mainContext.logger.trace(\"dayPredictedCostSignal: \" + Arrays.toString(this.dayPredictedCostSignal));\n\t\t}\n\n\t\tthis.dayPredictedCostSignal = ArrayUtils\n\t\t\t\t.offset(ArrayUtils.multiply(this.dayPredictedCostSignal, this.predictedCostToRealCostA), this.realCostOffsetb);\n\n\t\tif (this.mainContext.logger.isTraceEnabled())\n\t\t{\n\t\t\tthis.mainContext.logger.trace(\"afterOffset dayPredictedCostSignal: \" + Arrays.toString(this.dayPredictedCostSignal));\n\t\t}\n\n\t\tif (this.owner.isHasElectricalSpaceHeat())\n\t\t{\n\t\t\tthis.setPointProfile = Arrays.copyOf(this.owner.getSetPointProfile(), this.owner.getSetPointProfile().length);\n\t\t\tthis.optimisedSetPointProfile = Arrays.copyOf(this.setPointProfile, this.setPointProfile.length);\n\t\t\tthis.currentTempProfile = Arrays.copyOf(this.setPointProfile, this.setPointProfile.length);\n\t\t\tthis.heatPumpDemandProfile = this.calculateEstimatedSpaceHeatPumpDemand(this.setPointProfile);\n\t\t\t// (20/01/12) Check if sum of <heatPumpDemandProfile> is consistent\n\t\t\t// at end day\n\t\t\tif (this.mainContext.logger.isTraceEnabled())\n\t\t\t{\n\t\t\t\tthis.mainContext.logger\n\t\t\t\t\t\t.trace(\"Sum(Wattbox estimated heatPumpDemandProfile): \" + ArrayUtils.sum(this.heatPumpDemandProfile));\n\t\t\t}\nif (\t\t\tthis.mainContext.logger.isTraceEnabled()) {\n\t\t\tthis.mainContext.logger.trace(\"Sum(Wattbox estimated heatPumpDemandProfile): \"\n\t\t\t\t\t+ ArrayUtils.sum(this.calculateEstimatedSpaceHeatPumpDemand(this.optimisedSetPointProfile)));\n}\n\t\t}\n\t\telse\n\t\t{\n\t\t\tthis.heatPumpDemandProfile = Arrays.copyOf(this.noElecHeatingDemand, this.noElecHeatingDemand.length);\n\t\t}\n\n\t\tif (this.owner.isHasElectricalWaterHeat())\n\t\t{\n\t\t\tthis.hotWaterVolumeDemandProfile = Arrays.copyOfRange(this.owner.getBaselineHotWaterVolumeProfile(), (timeStep % this.owner\n\t\t\t\t\t.getBaselineHotWaterVolumeProfile().length), (timeStep % this.owner.getBaselineHotWaterVolumeProfile().length)\n\t\t\t\t\t+ this.ticksPerDay);\n\t\t\tthis.waterHeatDemandProfile = ArrayUtils.multiply(this.hotWaterVolumeDemandProfile, Consts.WATER_SPECIFIC_HEAT_CAPACITY\n\t\t\t\t\t/ Consts.KWH_TO_JOULE_CONVERSION_FACTOR\n\t\t\t\t\t* (this.owner.waterSetPoint - ArrayUtils.min(Consts.MONTHLY_MAINS_WATER_TEMP) / Consts.DOMESTIC_HEAT_PUMP_WATER_COP));\n\t\t}\n\t\telse\n\t\t{\n\t\t\tthis.waterHeatDemandProfile = Arrays.copyOf(this.noElecHeatingDemand, this.noElecHeatingDemand.length);\n\t\t}\n\n\t\tif (this.coldAppliancesControlled && this.owner.isHasColdAppliances())\n\t\t{\n\t\t\tthis.optimiseColdProfile(timeStep);\n\t\t}\n\n\t\tif (this.wetAppliancesControlled && this.owner.isHasWetAppliances())\n\t\t{\n\t\t\tthis.optimiseWetProfile(timeStep);\n\t\t}\n\n\t\t// Note - optimise space heating first. This is so that we can look for\n\t\t// absolute\n\t\t// heat pump limit and add the cost of using immersion heater (COP 0.9)\n\t\t// to top\n\t\t// up water heating if the heat pump is too great\n\t\tif (this.spaceHeatingControlled && this.owner.isHasElectricalSpaceHeat())\n\t\t{\n\t\t\tif (this.owner.hasStorageHeater)\n\t\t\t{\n\t\t\t\tthis.optimiseStorageChargeProfile();\n\t\t\t\tif (this.mainContext.logger.isTraceEnabled())\n\t\t\t\t{\n\t\t\t\t\tthis.mainContext.logger.trace(\"Optimised storage heater profile = \" + Arrays.toString(this.heatPumpOnOffProfile));\n\t\t\t\t}\n\t\t\t}\n\t\t\telse\n\t\t\t{\n\t\t\tthis.optimiseSetPointProfile();\n\t\t\tif (this.mainContext.logger.isTraceEnabled())\n\t\t\t{\n\t\t\t\tthis.mainContext.logger.trace(\"Optimised set point profile = \" + Arrays.toString(this.heatPumpOnOffProfile));\n\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif (this.waterHeatingControlled && this.owner.isHasElectricalWaterHeat())\n\t\t{\n\t\t\tthis.optimiseWaterHeatProfileWithSpreading();\n\t\t}\n\n\t\tif (this.eVehicleControlled && this.owner.isHasElectricVehicle())\n\t\t{\n\t\t\tthis.optimiseEVProfile();\n\t\t}\n\n\t\t// At the end of the step, set the temperature profile for today's\n\t\t// (which will be yesterday's when it is used)\n\t\tthis.priorDayExternalTempProfile = this.owner.getContext().getAirTemperature(timeStep, this.ticksPerDay);\n\t}","protected double ABT() {\r\n\t\tDouble output = Double.MAX_VALUE;\r\n\t\tIterator<Double> bws = this.flowBandwidth.values().iterator();\r\n\t\twhile (bws.hasNext()) {\r\n\t\t\tdouble temp = bws.next();\r\n\t\t\tif (temp < output) {\r\n\t\t\t\toutput = temp;\r\n\t\t\t\t// System.out.println(\"[GeneralSimulator.ABT]: \" + output);\r\n\t\t\t}\r\n\t\t}\r\n\t\t// System.out.println(\"[GeneralSimulator.ABT]: succfulCount \"\r\n\t\t// + this.successfulCount);\r\n\t\treturn output * this.successfulCount;\r\n\t}","public float findFrequency(ArrayList<Float> wave){\n\r\n ArrayList<Float> newWave = new ArrayList<>();\r\n\r\n for(int i=0;i<wave.size()-4;i++){\r\n newWave.add((wave.get(i)+wave.get(i+1)+wave.get(i+2)+wave.get(i+4))/4f);\r\n }\r\n\r\n\r\n boolean isBelow = wave1.get(0)<triggerVoltage;\r\n\r\n ArrayList<Integer> triggerSamples = new ArrayList<>();\r\n\r\n\r\n System.out.println(\"starting f calc\");\r\n\r\n for(int i=1;i<newWave.size();i++){\r\n if(isBelow){\r\n if(newWave.get(i)>triggerVoltage){\r\n triggerSamples.add(i);\r\n isBelow=false;\r\n }\r\n }else{\r\n if(newWave.get(i)<triggerVoltage){\r\n triggerSamples.add(i);\r\n isBelow=true;\r\n }\r\n }\r\n }\r\n System.out.println(\"F len in \"+triggerSamples.size());\r\n\r\n ArrayList<Float> freqValues = new ArrayList<>();\r\n\r\n\r\n for(int i=0;i<triggerSamples.size()-2;i++){\r\n freqValues.add(1/(Math.abs(SecondsPerSample*(triggerSamples.get(i)-triggerSamples.get(i+2)))));\r\n }\r\n\r\n float finalAVG =0;\r\n for (Float f : freqValues) {\r\n finalAVG+=f;\r\n }\r\n finalAVG/=freqValues.size();\r\n\r\n\r\n return finalAVG;\r\n //System.out.println(finalAVG);\r\n }","private static double fds_h(Vec v) { return 2*ASTMad.mad(new Frame(v), null, 1.4826)*Math.pow(v.length(),-1./3.); }","private float averageBeat(){\n float avgBeat = 0f;\n List<Float> beatRed = DataManager.getInstance().getBeatRed();\n List<Float> beatIR = DataManager.getInstance().getBeatIR();\n\n for(int i = 0; i < beatRed.size() && i < beatIR.size(); i ++ ){\n chartFragment.addRedData(beatRed.get(i));\n chartFragment.addIRData(beatIR.get(i));\n avgBeat += beatRed.get(i);\n avgBeat += beatIR.get(i);\n }\n avgBeat = avgBeat / (beatRed.size() + beatIR.size());\n\n if (tcpTask != null )\n this.tcpTask.addData(\"\" + avgBeat);\n beatLabel.setText(\"Beat : \" + avgBeat);\n return avgBeat;\n }","public void start() {\n enable = true;\n audioRecord.startRecording();\n Thread monitorThread = new Thread(new Runnable() {\n public void run() {\n char lastDtmf = ' ';\n do {\n audioRecord.read(recordBuffer, 0, BUFFER_SIZE, AudioRecord.READ_BLOCKING);\n im = zero.clone(); //memset, I hope?\n System.arraycopy(recordBuffer, 0, re, 0, BUFFER_SIZE); //memset, I presume\n fft.fft(re, im);\n int f1 = 0, f2 = 0;\n char dtmf = ' ';\n for (int i = 0; i < BUFFER_SIZE/2; i++) {\n if ((Math.abs(im[i]) > 10)) {\n if ((i > 258) && (i < 261))\n f1 = 697;\n if ((i > 285) && (i < 289))\n f1 = 770;\n if ((i > 315) && (i < 318))\n f1 = 852;\n if ((i > 349) && (i < 352))\n f1 = 941;\n if ((i > 446) && (i < 451))\n f2 = 1209;\n if ((i > 493) && (i < 505))\n f2 = 1336;\n if ((i > 544) && (i < 553))\n f2 = 1477;\n if ((i > 605) && (i < 608))\n f2 = 1633;\n }\n }\n if ((f1 == 697) && (f2 == 1209))\n dtmf = '1';\n if ((f1 == 697) && (f2 == 1336))\n dtmf = '2';\n if ((f1 == 697) && (f2 == 1477))\n dtmf = '3';\n if ((f1 == 697) && (f2 == 1633))\n dtmf = 'A';\n if ((f1 == 770) && (f2 == 1209))\n dtmf = '4';\n if ((f1 == 770) && (f2 == 1336))\n dtmf = '5';\n if ((f1 == 770) && (f2 == 1477))\n dtmf = '6';\n if ((f1 == 770) && (f2 == 1633))\n dtmf = 'B';\n if ((f1 == 852) && (f2 == 1209))\n dtmf = '7';\n if ((f1 == 852) && (f2 == 1336))\n dtmf = '8';\n if ((f1 == 852) && (f2 == 1477))\n dtmf = '9';\n if ((f1 == 852) && (f2 == 1633))\n dtmf = 'C';\n if ((f1 == 941) && (f2 == 1209))\n dtmf = '*';\n if ((f1 == 941) && (f2 == 1336))\n dtmf = '0';\n if ((f1 == 941) && (f2 == 1477))\n dtmf = '#';\n if ((f1 == 941) && (f2 == 1633))\n dtmf = 'D';\n\n if (dtmf == ' ') {\n lastDtmf = ' ';\n } else {\n if (listener != null)\n if (dtmf != lastDtmf) {\n lastDtmf = dtmf;\n listener.receivedDTMF(dtmf);\n }\n }\n } while (enable);\n audioRecord.stop();\n }\n });\n monitorThread.start();\n }","static double triangleWave(double timeInSeconds, double frequency) {\r\n\t\treturn 0;\r\n\t}","public double getMeanTimeBetweenCarArrivals() {\n return meanTimeBetweenCarArrivals;\n }","private List< PlotData > valueOfDesireAlongLine( final Line line, final int which_one_my_master )\n\t{\n\t\tfinal Img< UnsignedShortType > img = ImagePlusAdapter.wrap( imgPlus );\n\t\tfinal Cursor< UnsignedShortType > cursor = img.cursor();\n\n\t\t// get 'line' as vector based at 0\n\t\tfinal double vec_x = line.x2 - line.x1;\n\t\tfinal double vec_y = line.y2 - line.y1;\n\t\t// direction of 'line' as normalized vecter at 0\n\t\tfinal Vector2D vec_line_direction = new Vector2D( vec_x, vec_y );\n\n\t\tfinal int frames = imgPlus.getDimensions()[ 4 ]; // 4 happens to be the\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// time-dimension...\n\t\tfinal List< PlotData > summed_intensities = new ArrayList< PlotData >();\n\t\tfinal List< PlotData > volume = new ArrayList< PlotData >();\n\t\tfinal List< PlotData > concentrations = new ArrayList< PlotData >();\n\n\t\tfor ( int i = 0; i < frames; i++ )\n\t\t{\n\t\t\tsummed_intensities.add( new PlotData( ( int ) Math.floor( line.getLength() ) ) );\n\t\t\tvolume.add( new PlotData( ( int ) Math.floor( line.getLength() ) ) );\n\t\t\tconcentrations.add( new PlotData( ( int ) Math.floor( line.getLength() ) ) );\n\t\t}\n\n\t\tdouble pixel_value;\n\t\tfinal double voxel_depth = this.imgPlus.getCalibration().getZ( 1.0 );\n\t\twhile ( cursor.hasNext() )\n\t\t{\n\t\t\tpixel_value = 0.0;\n\t\t\ttry\n\t\t\t{\n\t\t\t\tpixel_value = cursor.next().get();\n\t\t\t}\n\t\t\tcatch ( final ClassCastException e )\n\t\t\t{\n\t\t\t\te.printStackTrace();\n\t\t\t\tIJ.error( \"ClassCastException\", \"Please make source image 16bit!\" );\n\t\t\t}\n\t\t\tfinal double xpos = cursor.getIntPosition( 0 ) - line.x1;\n\t\t\tfinal double ypos = cursor.getIntPosition( 1 ) - line.y1;\n\t\t\t// final int zpos = cursor.getIntPosition( 2 );\n\t\t\tfinal int tpos = cursor.getIntPosition( 3 );\n\n\t\t\t// vector to current pixel\n\t\t\tfinal Vector2D vec_pos = new Vector2D( xpos, ypos );\n\n\t\t\t// compute projection onto line-ROI\n\t\t\tfinal Vector2D lineProjection = vec_line_direction.project( vec_pos );\n\t\t\tfinal double fractional_slice_num = lineProjection.getLength();\n\t\t\t// don't do anything in case voxel is below or above line\n\t\t\tif ( lineProjection.dot( vec_line_direction ) < 0 || fractional_slice_num > vec_line_direction.getLength() )\n\t\t\t{\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// add the shit\n\t\t\tif ( pixel_value > 0.0 )\n\t\t\t{\n\t\t\t\tsummed_intensities.get( tpos ).addValueToXValue( fractional_slice_num, pixel_value );\n\t\t\t\tvolume.get( tpos ).addValueToXValue( fractional_slice_num, voxel_depth );\n\t\t\t}\n\t\t}\n\n\t\t// compute concentrations (iterate over summed intensities and divide by\n\t\t// volume)\n\t\tfor ( int t = 0; t < summed_intensities.size(); t++ )\n\t\t{\n\t\t\tfor ( int i = 0; i < summed_intensities.get( t ).getXData().length; i++ )\n\t\t\t{\n\t\t\t\tdouble concentration = summed_intensities.get( t ).getYData()[ i ] / volume.get( t ).getYData()[ i ];\n\t\t\t\tif ( Double.isNaN( concentration ) )\n\t\t\t\t\tconcentration = 0.0;\n\t\t\t\tconcentrations.get( t ).addValueToXValue( summed_intensities.get( t ).getXData()[ i ], concentration );\n\t\t\t}\n\t\t}\n\n\t\tif ( which_one_my_master == WISH_CONCENTRATION )\n\t\t{\n\t\t\treturn concentrations;\n\t\t}\n\t\telse if ( which_one_my_master == WISH_SUM_INTENSITIES )\n\t\t{\n\t\t\treturn summed_intensities;\n\t\t}\n\t\telse\n\t\t{\n\t\t\treturn volume;\n\t\t}\n\t}","private double[] driveSpeed(double x1, double y1, double x2){\n double[] output = new double[4];\r\n\r\n if(x1==1.00 && y1==0.00){\r\n output[0]=1.00;\r\n output[1]=0.00;\r\n output[2]=-1.00;\r\n output[3]=0.00;\r\n }else if(x1==-1.00 && y1==0.00){\r\n output[0]=-1.00;\r\n output[1]=0.00;\r\n output[2]=1.00;\r\n output[3]=0.00;\r\n }else if(y1==1.00 && x1==0.00){\r\n output[0]=0.00;\r\n output[1]=1.00;\r\n output[2]=0.00;\r\n output[3]=-1.00;\r\n }else if(y1==-1.00 && x1==0.00){\r\n output[0]=0.00;\r\n output[1]=-1.00;\r\n output[2]=0.00;\r\n output[3]=1.00;\r\n }else{\r\n //\r\n output[0]=0.00;\r\n output[1]=0.00;\r\n output[2]=0.00;\r\n output[3]=0.00;\r\n }\r\n\r\n return output;\r\n\r\n }","public void setSignal(double signal) {_signal = signal;}","protected final double fa(double x, double ac, double ae) {return ac*Math.pow(x, ae)/K;}","private Line getMiddleTrajectory() {\n Point startPoint;\n if (movingRight()) {\n startPoint = middleRight();\n } else if (movingLeft()) {\n startPoint = middleLeft();\n } else {\n return null;\n }\n\n return new Line(startPoint, this.velocity);\n }","public void normalization(){\n normalization = processControlBlock[0].getArrivalTime();\n }","private void getCal() {\n \t\t\n \t\tif(isnew) {\n \t\t\tString[] parts0, parts1, parts2, parts3, parts4, parts5, parts6;\n \t\t\t\n \t\t\tparts0 = asciiheader[9].split(\"\\t\");\n \t\t\tparts1 = asciiheader[10].split(\"\\t\");\n \t\t\tparts2 = asciiheader[11].split(\"\\t\");\n \t\t\tparts3 = asciiheader[12].split(\"\\t\");\n \t\t\tparts4 = asciiheader[13].split(\"\\t\");\n \t\t\tparts5 = asciiheader[14].split(\"\\t\");\n \t\t\tparts6 = asciiheader[15].split(\"\\t\");\n \t\t\t\n \t\t\tfor(int i = 0; i < 3; i++) {\n \t\t\t\tRGBcal[i] = Float.parseFloat(parts0[i]);\n \t\t\t\tvlam[i] = Float.parseFloat(parts1[i]);\n \t\t\t\tvp[i] = Float.parseFloat(parts2[i]);\n \t\t\t\tmel[i] = Float.parseFloat(parts3[i]);\n \t\t\t\tvmac[i] = Float.parseFloat(parts4[i]);\n \t\t\t\tsmac[i] = Float.parseFloat(parts5[i]);\n \t\t\t\tCLAcal[i] = Float.parseFloat(parts6[i]);\n \t\t\t}\n \t\t\tCLAcal[3] = Float.parseFloat(parts6[3]);\n \t\t\treturn;\n \n \t\t}\n \t\t\n \t\tint temp = 0;\n \t\tint j = 0;\n \t\tString workingDirectory = new String(System.getProperty(\"user.dir\")+ \"\\\\src\\\\data\");\n \t\t\n \t\tString[] s = loadStrings(workingDirectory + \"\\\\Day12_Cal_Values.txt\");\n \t\t\n \n \t\t//Scone/macula\n \t\tfor(int i = 0; i < s[1].length(); i++) {\n \t\t\tif(s[1].charAt(i) == 9) {\n \t\t\t\tif(temp != 0) {\n \t\t\t\t\t//smac[j] = float(s[1].substring(temp, i));\n \t\t\t\t\tsmac[j] = Float.parseFloat(s[1].substring(temp, i));\n \t\t\t\t\tj++;\n \t\t\t\t}\n \t\t\t\ttemp = i;\n \t\t\t}\n \t\t}\n \t\tsmac[j] = Float.parseFloat(s[1].substring(temp, s[1].length()));\n \t\ttemp = 0;\n \t\tj = 0;\n \n \t\t//Vlamda/macula\n \t\tfor(int i = 0; i < s[2].length(); i++) {\n \t\t\tif(s[2].charAt(i) == 9) {\n \t\t\t\tif(temp != 0) {\n \t\t\t\t\tvmac[j] = Float.parseFloat(s[2].substring(temp, i));\n \t\t\t\t\tj++;\n \t\t\t\t}\n \t\t\t\ttemp = i;\n \t\t\t}\n \t\t}\n \t\tvmac[j] = Float.parseFloat(s[2].substring(temp, s[2].length()));\n \t\ttemp = 0;\n \t\tj = 0;\n \n \t\t//Melanopsin\n \t\tfor(int i = 0; i < s[3].length(); i++) {\n \t\t\tif(s[3].charAt(i) == 9) {\n \t\t\t\tif(temp != 0) {\n \t\t\t\t\tmel[j] = Float.parseFloat(s[3].substring(temp, i));\n \t\t\t\t\tj++;\n \t\t\t\t}\n \t\t\t\ttemp = i;\n \t\t\t}\n \t}\n \t\tmel[j] = Float.parseFloat(s[3].substring(temp, s[3].length()));\n \t\ttemp = 0;\n \t\tj = 0;\n \n \t\t//Vprime\n \t\tfor(int i = 0; i < s[4].length(); i++) {\n \t\t\tif(s[4].charAt(i) == 9) {\n \t\t\t\tif(temp != 0) {\n \t\t\t\t\tvp[j] = Float.parseFloat(s[4].substring(temp, i));\n \t\t\t\t\tj++;\n \t\t\t\t}\n \t\t\t\ttemp = i;\n \t\t\t}\n \t\t}\n \t\tvp[j] = Float.parseFloat(s[4].substring(temp, s[4].length()));\n \t\ttemp = 0;\n \t\tj = 0;\n \n \t\t//Vlamda\n \t\tfor(int i = 0; i < s[5].length(); i++) {\n \t\t\tif(s[5].charAt(i) == 9) {\n \t\t\t\tif(temp != 0) {\n \t\t\t\t\tvlam[j] = Float.parseFloat(s[5].substring(temp, i));\n \t\t\t\t\tj++;\n \t\t\t\t}\n \t\t\t\ttemp = i;\n \t\t\t}\n \t\t}\n \t\tvlam[j] = Float.parseFloat(s[5].substring(temp, s[5].length()));\n \t\ttemp = 0;\n \t\tj = 0;\n \n \t\t//CLA\n \t\tfor(int i = 0; i < s[8].length(); i++) {\n \t\t\tif(s[8].charAt(i) == 9) {\n \t\t\t\tif(temp != 0) {\n \t\t\t\t\tCLAcal[j] = Float.parseFloat(s[8].substring(temp, i));\n \t\t\t\t\tj++;\n \t\t\t\t}\n \t\t\t\ttemp = i;\n \t\t\t}\n \t\t}\n \t\tCLAcal[j] = Float.parseFloat(s[8].substring(temp, s[8].length()));\n \t\ttemp = 0;\n \t\tj = 0;\n \n \t\t//RGBcal\n \t\ts = loadStrings(workingDirectory + \"\\\\Day12 RGB Values.txt\");\n \t\tfor(int i = 0; i < s[ID].length(); i++) {\n \t\t\tif(s[ID].charAt(i) == 9) {\n \t\t\t\tif(temp != 0) {\n \t\t\t\t\tRGBcal[j] = Float.parseFloat(s[ID].substring(temp, i));\n \t\t\t\t\tj++;\n \t}\n \t\t\t\ttemp = i;\n \t\t\t}\n \t}\n \t\tRGBcal[j] = Float.parseFloat(s[ID].substring(temp, s[ID].length()));\n \t\ttemp = 0;\n \t\tj = 0;\n \t}","public void calculateMeanChordRatio(double cfcIn, double cfcOut) {\n\t\tsetMeanChordRatio((cfcIn + cfcOut)/2);\n\t}","public void average() {\n\t\tif (averaged)\n\t\t\tthrow new AssertionError(\"can't average twice!!\");\n\t\t\n\t\tscale = 1.0/(double)t;\n\t\t\n\t\tfor (int i = 0; i < w.length; i++)\n\t\t\tw[i] = (t+1.0)*w[i] - wupdates[i];\n\t\t\n\t\taveraged = true;\n\t\n\t}","@Override\n public void runEffect(double[] fft) {\n\n\n for(int i = fft.length - 1; i - pitchMove >= 0; i--)\n {\n fft[i] = fft[i - pitchMove];\n }\n for(int i = 0; i < pitchMove; i++)\n fft[i] = fft[i]*0.5;\n// for(int i = 0, k = 0; i < fft.length; i+=2)\n// {\n// if(i < fft.length/2) {\n// fft2[fft.length / 2 + k - 1] = (fft[fft.length / 2 + i] + fft[fft.length / 2 + i]) / 2;\n// fft2[fft.length / 2 - k - 1] = (fft[fft.length / 2 - i] + fft[fft.length / 2 - i]) / 2;\n// }\n// //fft2[k] = 0;\n// //fft2[fft2.length - k -1] = 0;\n// k++;\n// }\n /*for(int i = 0; i < fft.length; i++)\n {\n fft[i] = Math.abs(fft[i]);\n if(fft[i] < 2){\n fft[i] = 0;\n }\n //Log.d(\"Log\", fft[i] + \" \");\n }*/\n }","protected static double[] preEmphasis(short inputSignal[]){\n double outputSignal[] = new double[inputSignal.length];\n \n // apply pre-emphasis to each sample\n for (int n = 1; n < inputSignal.length; n++){\n outputSignal[n] = inputSignal[n] - preEmphasisAlpha * inputSignal[n - 1];\n }\n \n return outputSignal;\n }","@Test\n\tpublic void averageWorksForModeSteps() {\n\t\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\n\t\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 10, 0)); // constant function = 10\n\t\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\n\t\tt1.addValues(TimeSeriesUtils.createStepFunction(5, 20, 25, 20, 0)); // constant function = 20\n\t\tt0.setInterpolationMode(InterpolationMode.STEPS);\n\t\tt1.setInterpolationMode(InterpolationMode.STEPS);\n\t\tfinal ReadOnlyTimeSeries avg = MultiTimeSeriesUtils.getAverageTimeSeries(Arrays.<ReadOnlyTimeSeries> asList(t0, t1), 0, Long.MAX_VALUE, true, null, false);\n\t\t// one data point outside time range, one boundary value should be added\n\t\tAssert.assertEquals(\"Time series sum has wrong number of data points\", 13, avg.size());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 10, avg.getValue(7).getValue().getIntegerValue());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 15, avg.getValue(23).getValue().getIntegerValue());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 15, avg.getValue(100).getValue().getIntegerValue());\n\t}","public void onAccVal (float ax, float ay, float az, long ts)\r\n\t{\r\n\t\t++nAccVal;\r\n\t\t++last_nAccVal;\r\n\t\t\t\t\r\n\t\tacc_val.accx = -ax;\r\n\t\tacc_val.accy = ay;\r\n\t\tacc_val.accz = az;\r\n\t\tacc_val.ms = ts;\r\n\t\t\t\r\n\t\tacc_val.roll = (float)Math.atan2 (ax,az);\r\n\t\tacc_val.pitch = (float)Math.atan2 (ay,az);\r\n\t\t\t\r\n\t\tacc_val.roll = (float)((acc_val.roll*180.0)/Math.PI);\r\n\t\tacc_val.pitch = (float)((acc_val.pitch*180.0)/Math.PI);\r\n\t\t\r\n\t\tif (true)\r\n\t\t{\r\n\t\t\tdouble coeff = 1/9.81;\r\n\t\t\tacc_val.accx=(float)(acc_val.accx*coeff);\r\n\t\t\tacc_val.accy=(float)(acc_val.accy*coeff);\r\n\t\t\tacc_val.accz=(float)(acc_val.accz*coeff);\r\n\t\t}\r\n\t\tif (ts-last_data_ts>(1000/3)*1000000)\r\n\t\t{\r\n\t\t\tUI_RefreshSensorData ();\r\n\t\t\tlast_data_ts=ts;\r\n\t\t}\r\n\t\tsynchronized (this)\r\n\t\t{\r\n\t\t\tif (_bbCanSend && _bbStartSend) sendData (acc_val);\r\n\t\t}\r\n\t}","public double getAcuteAngle( final LineXY line ) {\n\t\t// get the intersection point\n\t\tfinal PointXY p1 = PointXY.getIntersectionPoint( this, line );\n\t\tif( p1 == null ) {\n\t\t\tthrow new IllegalArgumentException( format( \"No intersection found\" ) );\n\t\t}\n\t\t\n\t\t// get the points of both lines\n\t\tfinal PointXY pa1 = this.getBeginPoint();\n\t\tfinal PointXY pa2 = this.getEndPoint();\n\t\tfinal PointXY pb1 = line.getBeginPoint();\n\t\tfinal PointXY pb2 = line.getEndPoint();\n\t\t\n\t\tfinal PointXY p2 = PointXY.getFarthestPoint( p1, pa1, pa2 );\n\t\tfinal PointXY p3 = PointXY.getFarthestPoint( p1, pb1, pb2 );\n\t\t\n\t\t// are both lines orthogonal?\n\t\tif( this.isOrthogonal() && line.isOrthogonal() ) {\n\t\t\treturn this.isParallelTo( line ) ? 0 : Math.PI;\n\t\t}\n\t\t\n\t\t// is the either line orthogonal?\n\t\telse if( this.isOrthogonal() || line.isOrthogonal() ) {\n\t\t\t// cos t = ( -a^2 + b^2 - c^2 ) / 2cb \n\t\t\tfinal double a = getDistance( p1, p2 );\n\t\t\tfinal double b = getDistance( p1, p3 );\n\t\t\tfinal double c = getDistance( p2, p3 );;\n\t\t\treturn acos( ( -pow(a, 2d) + pow(b, 2d) - pow(c, 2d) ) / ( 2d * c * b ) );\n\t\t}\n\t\t\n\t\t// both must be angular\n\t\telse {\n\t\t\t// tan t = ( m1 - m2 ) / ( 1 + m1 * m2 ); where m2 > m1\n\t\t\tdouble m1 = this.getSlope();\n\t\t\tdouble m2 = line.getSlope();\n\t\t\tif( m1 > m2 ) {\n\t\t\t\tfinal double mt = m1;\n\t\t\t\tm1 = m2;\n\t\t\t\tm2 = mt;\n\t\t\t}\n\t\t\t\n\t\t\t// compute the angle\n\t\t\treturn atan( ( m1 - m2 ) / ( 1 + m1 * m2 ) );\n\t\t}\n\t}","public synchronized double measure(double value, long when) {\n // compute difference to last time in (seconds)\n double dt = (when - this.when) / 1000.0D;\n if (dt < 0) {\n // if the time is negative, we just skip computation (happens if NTP sets the clock back)\n } else if (dt == 0) {\n // if no time went by we have the special case where the average is just corrected\n this.average = value * (1.0 - this.kappa) + this.average;\n } else {\n // a positive dt means reevalute fully\t\t\t\n this.kappa = Math.exp(dt * this.ln_phi);\n this.average = value * (1.0 - this.kappa) + this.average * this.kappa;\n this.when = when;\n }\n return average;\n }","private static String addCIExtremes(String theLine){\n\n\t\t//System.out.println(\"1: \" + theLine);\n\n\t\tString[] splitLine = theLine.split(\";\");\n\n\t\tif(splitLine.length <= 8){\n\n\t\t\ttry{\n\t\t\t\tdouble avg = Double.parseDouble(splitLine[6]);\n\t\t\t\tdouble ci = Double.parseDouble(splitLine[7]);\n\n\t\t\t\ttheLine += ((avg-ci) + \";\" + (avg+ci) + \";\");\n\n\t\t\t\t//System.out.println(\"2: \" + theLine);\n\t\t\t}catch(NumberFormatException e){\n\t\t\t\tSystem.out.println(\"Impossible to add CI extremes. Skipping.\");\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\t\t}\n\n\t\t//System.out.println(\"3: \" + theLine);\n\n\t\treturn theLine;\n\n\t}","public void updateOscilloscopeData() {\n rmsSum = 0;\n boolean overshoot = false;\n int reactorFrequency = getReactorFrequency().intValue();\n int reactorAmplitude = getReactorAmplitude().intValue();\n double reactorPhase = getReactorPhase().doubleValue();\n int controlFrequency = getControlFrequency().intValue();\n int controlAmplitude = getControlAmplitude().intValue();\n double controlPhase = getControlPhase().doubleValue();\n for (int i = 0; i < 40; i++) { \n Double reactorValue = reactorAmplitude * Math.sin(2 * Math.PI * reactorFrequency * ((double) i * 5 / 10000) + reactorPhase);\n Double controlValue = controlAmplitude * Math.sin(2 * Math.PI * controlFrequency * ((double) i * 5 / 10000) + controlPhase);\n if (reactorValue + controlValue > 150) {\n this.outputData.get(0).getData().get(i).setYValue(149);\n overshoot = true;\n } else if (reactorValue + controlValue < -150) {\n this.outputData.get(0).getData().get(i).setYValue(-149);\n overshoot = true;\n } else {\n this.outputData.get(0).getData().get(i).setYValue(reactorValue + controlValue);\n }\n if (this.online == true) {\n this.rmsSum = this.rmsSum + Math.pow(reactorValue + controlValue, 2);\n }\n }\n calculateOutputPower();\n checkForInstability(overshoot);\n }","public Series removeDelayedTrend(int depth)\n {\n if(depth<1 || depth>=size)\n throw new IndexOutOfBoundsException();\n Series oscillator = new Series();\n oscillator.x = new double[oscillator.size = size - depth];\n if(oscillator.size>1)\n oscillator.r = new double[oscillator.size - 1];\n for(int t = 0; t<oscillator.size; t++)\n {\n oscillator.x[t] = x[t + depth] - movingAverage(depth, t + depth);\n if(t>0)\n oscillator.r[t - 1] = Math.log(oscillator.x[t]/oscillator.x[t - 1]);\n }\n return oscillator;\n }","protected static float[] computeMovingAverage(float[] values, int np) {\n\t\tfloat[] mm = new float[values.length - np];\n\t\tfor (int i = 0; i < mm.length; i++) {\n\t\t\tfloat sum = 0;\n\t\t\tfor (int j = 0; j < np; j++) {\n\t\t\t\tsum = sum + values[i + j];\n\t\t\t}\n\t\t\tmm[i] = sum / np;\n\t\t}\n\t\treturn mm;\n\t}","public Builder setAvgTreatment(double value) {\n \n avgTreatment_ = value;\n onChanged();\n return this;\n }"],"string":"[\n \"@Override \\r\\n protected void calculate(int index, DataContext ctx)\\r\\n {\\r\\n DataSeries series = ctx.getDataSeries();\\r\\n boolean complete=true;\\r\\n \\r\\n /*\\r\\n int macdPeriod1 = getSettings().getInteger(MACD_PERIOD1, 12);\\r\\n int macdPeriod2 = getSettings().getInteger(MACD_PERIOD2, 26);\\r\\n Enums.MAMethod macdMethod = getSettings().getMAMethod(MACD_METHOD, Enums.MAMethod.EMA);\\r\\n Object macdInput = getSettings().getInput(MACD_INPUT, Enums.BarInput.CLOSE);\\r\\n if (index >= Util.max(macdPeriod1, macdPeriod2)) {\\r\\n Double MA1 = null, MA2 = null;\\r\\n MA1 = series.ma(macdMethod, index, macdPeriod1, macdInput);\\r\\n MA2 = series.ma(macdMethod, index, macdPeriod2, macdInput);\\r\\n \\r\\n double MACD = MA1 - MA2; \\r\\n series.setDouble(index, Values.MACD, MACD);\\r\\n\\r\\n int signalPeriod = getSettings().getInteger(Inputs.SIGNAL_PERIOD, 9);\\r\\n\\r\\n // Calculate moving average of MACD (signal line)\\r\\n Double signal = series.ma(getSettings().getMAMethod(Inputs.SIGNAL_METHOD, Enums.MAMethod.SMA), index, signalPeriod, Values.MACD);\\r\\n series.setDouble(index, Values.SIGNAL, signal);\\r\\n \\r\\n if (signal != null) series.setDouble(index, Values.HIST, MACD - signal);\\r\\n\\r\\n if (series.isBarComplete(index)) {\\r\\n // Check for signal events\\r\\n Coordinate c = new Coordinate(series.getStartTime(index), signal);\\r\\n if (crossedAbove(series, index, Values.MACD, Values.SIGNAL)) {\\r\\n MarkerInfo marker = getSettings().getMarker(Inputs.UP_MARKER);\\r\\n String msg = get(\\\"SIGNAL_MACD_CROSS_ABOVE\\\", MACD, signal);\\r\\n if (marker.isEnabled()) addFigure(new Marker(c, Enums.Position.BOTTOM, marker, msg));\\r\\n ctx.signal(index, Signals.CROSS_ABOVE, msg, signal);\\r\\n }\\r\\n else if (crossedBelow(series, index, Values.MACD, Values.SIGNAL)) {\\r\\n MarkerInfo marker = getSettings().getMarker(Inputs.DOWN_MARKER);\\r\\n String msg = get(\\\"SIGNAL_MACD_CROSS_BELOW\\\", MACD, signal);\\r\\n if (marker.isEnabled()) addFigure(new Marker(c, Enums.Position.TOP, marker, msg));\\r\\n ctx.signal(index, Signals.CROSS_BELOW, msg, signal);\\r\\n }\\r\\n }\\r\\n }\\r\\n else complete=false;\\r\\n \\r\\n int rsiPeriod = getSettings().getInteger(RSI_PERIOD);\\r\\n Object rsiInput = getSettings().getInput(RSI_INPUT);\\r\\n if (index < 1) return; // not enough data\\r\\n \\r\\n double diff = series.getDouble(index, rsiInput) - series.getDouble(index-1, rsiInput);\\r\\n double up = 0, down = 0;\\r\\n if (diff > 0) up = diff;\\r\\n else down = diff;\\r\\n \\r\\n series.setDouble(index, Values.UP, up);\\r\\n series.setDouble(index, Values.DOWN, Math.abs(down));\\r\\n \\r\\n if (index <= rsiPeriod +1) return;\\r\\n \\r\\n Enums.MAMethod method = getSettings().getMAMethod(RSI_METHOD);\\r\\n double avgUp = series.ma(method, index, rsiPeriod, Values.UP);\\r\\n double avgDown = series.ma(method, index, rsiPeriod, Values.DOWN);\\r\\n double RS = avgUp / avgDown;\\r\\n double RSI = 100.0 - ( 100.0 / (1.0 + RS));\\r\\n\\r\\n series.setDouble(index, Values.RSI, RSI);\\r\\n \\r\\n // Do we need to generate a signal?\\r\\n GuideInfo topGuide = getSettings().getGuide(Inputs.TOP_GUIDE);\\r\\n GuideInfo bottomGuide = getSettings().getGuide(Inputs.BOTTOM_GUIDE);\\r\\n if (crossedAbove(series, index, Values.RSI, topGuide.getValue())) {\\r\\n series.setBoolean(index, Signals.RSI_TOP, true);\\r\\n ctx.signal(index, Signals.RSI_TOP, get(\\\"SIGNAL_RSI_TOP\\\", topGuide.getValue(), round(RSI)), round(RSI));\\r\\n }\\r\\n else if (crossedBelow(series, index, Values.RSI, bottomGuide.getValue())) {\\r\\n series.setBoolean(index, Signals.RSI_BOTTOM, true);\\r\\n ctx.signal(index, Signals.RSI_BOTTOM, get(\\\"SIGNAL_RSI_BOTTOM\\\", bottomGuide.getValue(), round(RSI)), round(RSI));\\r\\n }\\r\\n */\\r\\n series.setComplete(index, complete);\\r\\n }\",\n \"public void updateSMA(){\\n audioInput.read(audioBuffer, 0, bufferSize);\\n Complex [] FFTarr = doFFT(shortToDouble(audioBuffer));\\n FFTarr = bandPassFilter(FFTarr);\\n double sum = 0;\\n for(int i = 0; i<FFTarr.length;i++){\\n sum+=Math.abs(FFTarr[i].re()); // take the absolute value of the FFT raw value\\n }\\n double bandPassAverage = sum/FFTarr.length;\\n Log.d(LOGTAG, \\\"bandPassAverage: \\\" + bandPassAverage);\\n\\n //Cut out loud samples, otherwise compute rolling average as usual\\n if(bandPassAverage>THROW_OUT_THRESHOLD){\\n mySMA.compute(mySMA.currentAverage());\\n }else {\\n mySMA.compute(bandPassAverage);\\n }\\n }\",\n \"public double MACD(int slow, int fast, int t)\\n {\\n if(slow<=fast)\\n throw new IndexOutOfBoundsException(\\\"MACD(\\\" + slow + \\\" - \\\" +\\n fast + \\\") is undefined at time \\\" + t);\\n return expMovingAverage(slow, t) - expMovingAverage(fast, t);\\n }\",\n \"private void calcDVOWDNa(\\n final Line line1,\\n final Line line2,\\n final Point point1,\\n final Point point2) {\\n\\n\\n double average_x = (point1.x + point2.x) / 2.0;\\n\\n this.p1 = new Point(\\n (point1.x + average_x) / 2.0,\\n line1.a * (point1.x + average_x) / 2.0 + line1.b);\\n\\n this.p3 = new Point(\\n (point2.x + average_x) / 2.0,\\n line2.a * (point2.x + average_x) / 2.0 + line2.b);\\n\\n Line median = Line.fromPoints(p1, p3);\\n this.p2 = new Point(average_x, median.eval(average_x));\\n\\n assert p3.y <= Math.max(point2.y, point1.y);\\n assert p1.y <= Math.max(point2.y, point1.y);\\n assert p3.y >= Math.min(point2.y, point1.y);\\n assert p1.y >= Math.min(point2.y, point1.y);\\n\\n this.type = Type.bernstein;\\n this.p0 = new Point(point1);\\n this.p4 = new Point(point2);\\n\\n //return(f);\\n }\",\n \"@Override\\r\\n protected void calculateValues(DataContext ctx)\\r\\n {\\r\\n\\t//Common MTF Inputs\\r\\n\\tint mtfPeriod = getSettings().getInteger(MTF_MULTIPLIER);\\r\\n Object mtfInput = getSettings().getInput(SMI_INPUT, Enums.BarInput.CLOSE);\\r\\n \\r\\n int mtfSmooth = getSettings().getInteger(SMI_SMOOTH);\\r\\n int mtfSignal = getSettings().getInteger(SMI_SIGNAL);\\r\\n int mtfHLinc = getSettings().getInteger(SMI_HL_MTF_INC);\\r\\n int mtfMAinc = getSettings().getInteger(SMI_MA_MTF_INC);\\r\\n \\r\\n\\tint mtfHL = getSettings().getInteger(SMI_HL1_MTF);\\r\\n\\tint mtfMA = getSettings().getInteger(SMI_MA1_MTF);\\r\\n \\r\\n /* MTF Bar sizing */\\r\\n BarSize barSize = ctx.getChartBarSize(); //Gets the barsize off the chart\\r\\n int mtfbarint = barSize.getInterval(); //Gets the interval of the chart\\r\\n int barSizeint = mtfbarint * mtfPeriod; //Multiply the interval by the mtf multiplier\\r\\n \\r\\n //Calculates a longer period interval based upon the mtfPeriod\\r\\n BarSize barSizeNew = barSize.getBarSize(barSize.getType(), barSizeint); \\r\\n //Assembes the longer period timeframe series\\r\\n DataSeries series2 = ctx.getDataSeries(barSizeNew);\\r\\n\\r\\n String valStringOut; //variables for the return results\\r\\n String valStringD;\\r\\n String valStringHL;\\r\\n String valStringD_MA;\\r\\n String valStringHL_MA;\\r\\n int hlPeriodmtf;\\r\\n int maPeriodmtf;\\r\\n \\r\\n StudyHeader header = getHeader();\\r\\n boolean updates = getSettings().isBarUpdates() || (header != null && header.requiresBarUpdates());\\r\\n\\r\\n // Calculates Moving Average for the Secondary Data Series\\r\\n for(int i = 1; i < series2.size(); i++) {\\r\\n if (series2.isComplete(i)) continue;\\r\\n if (!updates && !series2.isBarComplete(i)) continue;\\r\\n //Double sma = series2.ma(MAMethod.SMA, i, mtfPeriod, mtfInput);\\r\\n \\r\\n //insert smi logic\\r\\n for(int j = 1; j <= 4; j++) {\\r\\n \\t \\r\\n switch (j) {\\r\\n case 1:\\r\\n \\t valStringOut \\t = \\\"Values.MTF1\\\"; //D1, HL1, D_MA1, HL_MA1 mtfHLinc\\r\\n \\t valStringD \\t = \\\"Values.D1\\\";\\r\\n \\t valStringHL \\t = \\\"Values.HL1\\\";\\r\\n \\t valStringD_MA\\t = \\\"Values.D_MA1\\\";\\r\\n \\t valStringHL_MA = \\\"Values.HL_MA1\\\";\\r\\n \\t hlPeriodmtf = mtfHL; //Base HL\\r\\n \\t maPeriodMA = mtfMA; //Base MA\\r\\n \\t break;\\r\\n case 2:\\r\\n \\t valStringOut = \\\"Values.MTF2\\\";\\r\\n \\t valStringD \\t = \\\"Values.D2\\\";\\r\\n \\t valStringHL \\t = \\\"Values.HL2\\\";\\r\\n \\t valStringD_MA\\t = \\\"Values.D_MA2\\\";\\r\\n \\t valStringHL_MA = \\\"Values.HL_MA2\\\";\\r\\n \\t hlPeriodmtf = mtfHL + mtfHLinc; //Base HL + Increment\\r\\n \\t maPeriodMA = mtfMA + mtfMAinc; //Base MA + Increment \\t \\r\\n \\t break;\\r\\n case 3:\\r\\n \\t valStringOut = \\\"Values.MTF3\\\";\\r\\n \\t valStringD \\t = \\\"Values.D3\\\";\\r\\n \\t valStringHL \\t = \\\"Values.HL3\\\";\\r\\n \\t valStringD_MA\\t = \\\"Values.D_MA3\\\";\\r\\n \\t valStringHL_MA = \\\"Values.HL_MA3\\\";\\r\\n \\t hlPeriodmtf = mtfHL + (mtfHLinc*2); //Base HL + Increment*2\\r\\n \\t maPeriodMA = mtfMA + (mtfMAinc*2); //Base MA + Increment*2 \\t \\r\\n \\t break;\\r\\n case 4:\\r\\n \\t valStringOut = \\\"Values.MTF4\\\";\\r\\n \\t valStringD \\t = \\\"Values.D4\\\";\\r\\n \\t valStringHL \\t = \\\"Values.HL4\\\";\\r\\n \\t valStringD_MA\\t = \\\"Values.D_MA4\\\";\\r\\n \\t valStringHL_MA = \\\"Values.HL_MA4\\\";\\r\\n \\t hlPeriodmtf = mtfHL + (mtfHLinc*3); //Base HL + Increment\\r\\n \\t maPeriodMA = mtfMA + (mtfMAinc*3); //Base MA + Increment\\r\\n \\t break;\\r\\n default:\\r\\n \\t break;\\t \\r\\n } //end switch\\r\\n \\r\\n //base HL period is mtfHL\\r\\n if (i < mtfHL) return;\\r\\n\\r\\n double HH = series2.highest(i, hlPeriodmtf, Enums.BarInput.HIGH);\\r\\n double LL = series2.lowest(i, hlPeriodmtf, Enums.BarInput.LOW);\\r\\n double M = (HH + LL)/2.0;\\r\\n double D = series2.getClose(i) - M;\\r\\n \\r\\n series.setDouble(i, valStringD, D);\\r\\n series.setDouble(i, valStringHL, HH - LL);\\r\\n \\r\\n int maPeriod = getSettings().getInteger(MA_PERIOD);\\r\\n if (index < hlPeriod + maPeriod) return;\\r\\n \\r\\n Enums.MAMethod method = getSettings().getMAMethod(Inputs.METHOD);\\r\\n series.setDouble(index, Values.D_MA, series.ma(method, index, maPeriod, Values.D));\\r\\n series.setDouble(index, Values.HL_MA, series.ma(method, index, maPeriod, Values.HL));\\r\\n \\r\\n int smoothPeriod= getSettings().getInteger(SMOOTH_PERIOD);\\r\\n if (index < hlPeriod + maPeriod + smoothPeriod) return;\\r\\n \\r\\n Double D_SMOOTH = series.ma(method, index, smoothPeriod, Values.D_MA);\\r\\n Double HL_SMOOTH = series.ma(method, index, smoothPeriod, Values.HL_MA);\\r\\n \\r\\n if (D_SMOOTH == null || HL_SMOOTH == null) return;\\r\\n double HL2 = HL_SMOOTH/2;\\r\\n double SMI = 0;\\r\\n if (HL2 != 0) SMI = 100 * (D_SMOOTH/HL2);\\r\\n\\r\\n series.setDouble(index, Values.SMI, SMI);\\r\\n\\r\\n int signalPeriod= getSettings().getInteger(Inputs.SIGNAL_PERIOD);\\r\\n if (index < hlPeriod + maPeriod + smoothPeriod + signalPeriod) return;\\r\\n\\r\\n Double signal = series.ma(method, index, signalPeriod, Values.SMI);\\r\\n if (signal == null) return;\\r\\n series.setDouble(index, Values.SMI_SIGNAL, signal);\\r\\n\\r\\n \\r\\n \\r\\n } //end j bracket\\r\\n \\r\\n \\r\\n \\r\\n \\r\\n \\r\\n series2.setDouble(i, Values.MTF, sma);\\r\\n }\\r\\n\\r\\n // Invoke the parent method to run the \\\"calculate\\\" method below for the primary (chart) data series\\r\\n super.calculateValues(ctx);\\r\\n }\",\n \"private void processSound() {\\r\\n if (!isEnabled) {\\r\\n return;\\r\\n }\\r\\n\\r\\n Thread.currentThread().setPriority(Thread.MAX_PRIORITY);\\r\\n\\r\\n byte[] data = new byte[line.available()];\\r\\n if (data.length == 0) {\\r\\n return;\\r\\n }\\r\\n\\r\\n line.read(data, 0, data.length);\\r\\n \\r\\n double[][] partitionedAndTransformedData =\\r\\n getPartitionedAndTransformedData(SOUND_PARTITIONS, data);\\r\\n \\r\\n double[] offMagnitudes = getPartitionedFrequencyMagnitudes(\\r\\n Constants.FREQUENCY_OFF,\\r\\n partitionedAndTransformedData,\\r\\n Constants.SAMPLE_RATE);\\r\\n double[] offOffsetMagnitudes = getPartitionedFrequencyMagnitudes(\\r\\n Constants.FREQUENCY_OFF + Constants.FREQUENCY_SECOND_OFFSET,\\r\\n partitionedAndTransformedData,\\r\\n Constants.SAMPLE_RATE);\\r\\n double[] onMagnitudes = getPartitionedFrequencyMagnitudes(\\r\\n Constants.FREQUENCY_ON,\\r\\n partitionedAndTransformedData,\\r\\n Constants.SAMPLE_RATE);\\r\\n double[] onOffsetMagnitudes = getPartitionedFrequencyMagnitudes(\\r\\n Constants.FREQUENCY_ON + Constants.FREQUENCY_SECOND_OFFSET,\\r\\n partitionedAndTransformedData,\\r\\n Constants.SAMPLE_RATE);\\r\\n \\r\\n double offMagnitudeSum = 0.0;\\r\\n double onMagnitudeSum = 0.0;\\r\\n \\r\\n for (int i = 0; i < SOUND_PARTITIONS; i++) {\\r\\n double offMagnitude = offMagnitudes[i] + offOffsetMagnitudes[i];\\r\\n double onMagnitude = onMagnitudes[i] + onOffsetMagnitudes[i];\\r\\n \\r\\n offMagnitudeSum += offMagnitude;\\r\\n onMagnitudeSum += onMagnitude;\\r\\n \\r\\n// System.out.printf(\\\"%.2f %.2f%n\\\", offMagnitude, onMagnitude);\\r\\n\\r\\n boolean value = onMagnitude > offMagnitude;\\r\\n \\r\\n audioSignalParser.addSignal(value);\\r\\n \\r\\n if (value) {\\r\\n offRunningAverage.add(offMagnitude);\\r\\n } else {\\r\\n onRunningAverage.add(onMagnitude);\\r\\n }\\r\\n }\\r\\n\\r\\n if (offRunningAverage.haveAverage() && onRunningAverage.haveAverage()) {\\r\\n double offMagnitudeAverage = offMagnitudeSum / SOUND_PARTITIONS;\\r\\n double onMagnitudeAverage = onMagnitudeSum / SOUND_PARTITIONS;\\r\\n\\r\\n boolean isLineFree = \\r\\n Statistics.isWithinAverage(\\r\\n onMagnitudeAverage,\\r\\n onRunningAverage.getAverage(),\\r\\n onRunningAverage.getStandardDeviation(),\\r\\n 3 /* deviations */)\\r\\n && Statistics.isWithinAverage(\\r\\n offMagnitudeAverage,\\r\\n offRunningAverage.getAverage(),\\r\\n offRunningAverage.getStandardDeviation(),\\r\\n 3 /* deviations */);\\r\\n lineActivity.add(isLineFree ? 0 : 1);\\r\\n }\\r\\n }\",\n \"public double MACD(int t)\\n {\\n return MACD(26, 12, t);\\n }\",\n \"public void updatePredictions (long currTime, TimeSeries inputSeries)\\n {\\n\\n// TODO: decide if this is necessary, it's in PPALg >>\\n this.state.clearPredictionsFrom (currTime + stepSize);\\n//this.state.clearPredictions();\\n\\n TimeSeries timeSeries = (TimeSeries) inputSeries.clone();\\n\\n // if timeSeries is shorter than the minimum stream do nothing.\\n if (timeSeries.size() < minStreamLength)\\n return;\\n\\n // trim the first <minPeriod> number of elements from the timeSeries.\\n // this removes non-periodicity that is seen in simulators first few elements.\\n\\n timeSeries.trimFromStart(minPeriodLength);\\n\\n df.addText (\\\"First trim of time series : \\\" + timeSeries.shortToString());\\n\\n // find the best shift of the time series against iteself that leads to the most matching\\n ArrayList shiftGraph = findBestShiftGraph (timeSeries);\\n\\n // trim the shifted graph to make sure we aren't starting in the middle of an event\\n int amountTrimmed = trimShiftGraph (shiftGraph);\\n\\n df.addText (\\\"Trim amount : \\\" + amountTrimmed);\\n df.addText (\\\"final, trimmed shift graph : \\\" + shiftGraph.toString());\\n\\n // the offset is the total amount of the time series we have discarded, it is the offset\\n // to the leading edge of a periodic repeating occurence\\n int offset = amountTrimmed + minPeriodLength;\\n\\n // create a new periodic event object\\n PeriodicEvent pe = getPeriod (shiftGraph, offset);\\n\\n if (pe == null || pe.getEvent().isEmpty())\\n {\\n df.addText (\\\" Periodic event is null \\\");\\n return;\\n }\\n\\n df.addText (\\\" Periodic Event is : \\\" + pe.toString());\\n\\n // get the current time from which we will extrapolate\\n long time = currTime;\\n\\n int period = pe.getPeriod();\\n ArrayList event = pe.getEvent();\\n\\n // if we divide the timeSeries into portions the size of the time period, how much is left over?\\n // for this we do not consider the trimmed amount.\\n int timeSeriesSize = timeSeries.size() - amountTrimmed;\\n\\n if (timeSeriesSize <= period)\\n return;\\n int remainder = getRemainder (timeSeriesSize, period);\\n df.addText (\\\"remainder is : \\\" + remainder);\\n\\n // cycle through the remaining portion of the last period adding any predictions based on\\n // our periodic event that we have identified.\\n // must subtract 1 since index is zero-base, & reaminder is one-based\\n for (int i = remainder -1 ; i < event.size(); i++)\\n {\\n double prediction;\\n\\n time = time + timeSeries.getTimeIncrement();\\n\\n if (i >= 0 && event.get (i) != null)\\n {\\n prediction = ((Double) event.get(i)).doubleValue();\\n\\n state.addPrediction ( time, prediction);\\n df.addText (\\\"Adding prediction : \\\" + prediction + \\\" for time : \\\" + time);\\n }\\n } // end for (i)\\n\\n int extrapolationCount = 2;\\n\\n // We make <j> additional extapolation into the future beyond the last period fragment\\n while (extrapolationCount > 0)\\n {\\n for (int j = 0; j < event.size(); j++)\\n {\\n double prediction;\\n\\n time = time + timeSeries.getTimeIncrement();\\n\\n if (event.get (j) != null)\\n {\\n prediction = ((Double) event.get(j)).doubleValue();\\n\\n state.addPrediction ( time, prediction);\\n df.addText (\\\"Adding prediction : \\\" + prediction + \\\" for time : \\\" + time);\\n }\\n } // end for (j)\\n\\n extrapolationCount--;\\n } // end while (extapoliationCount)\\n\\n\\n state.updateError (timeSeries, currTime);\\n }\",\n \"public void calcAcceleration() {\\n double firstSpeed = get(0).distanceTo(get(1)) / ((get(1).getTime() - get(0).getTime()) * INTER_FRAME_TIME);\\n double lastSpeed = get(length() - 2).distanceTo(get(length() - 1))\\n / ((get(length() - 1).getTime() - get(length() - 2).getTime()) * INTER_FRAME_TIME);\\n avgAcceleration = (firstSpeed + lastSpeed) / ((get(length() - 1).getTime() - get(0).getTime()) * INTER_FRAME_TIME);\\n }\",\n \"public double getSignal() {return _signal;}\",\n \"public float m1284a(ac acVar, ac acVar2) {\\r\\n double a = C0270y.m1729a(acVar.m825c());\\r\\n double a2 = C0270y.m1729a(acVar.m826d());\\r\\n double a3 = C0270y.m1729a(acVar2.m825c());\\r\\n a *= this.f768q;\\r\\n a2 *= this.f768q;\\r\\n a3 *= this.f768q;\\r\\n double a4 = C0270y.m1729a(acVar2.m826d()) * this.f768q;\\r\\n double sin = Math.sin(a);\\r\\n double sin2 = Math.sin(a2);\\r\\n a = Math.cos(a);\\r\\n a2 = Math.cos(a2);\\r\\n double sin3 = Math.sin(a3);\\r\\n double sin4 = Math.sin(a4);\\r\\n a3 = Math.cos(a3);\\r\\n a4 = Math.cos(a4);\\r\\n r17 = new double[3];\\r\\n double[] dArr = new double[]{a * a2, a2 * sin, sin2};\\r\\n dArr[0] = a4 * a3;\\r\\n dArr[1] = a4 * sin3;\\r\\n dArr[2] = sin4;\\r\\n return (float) (Math.asin(Math.sqrt((((r17[0] - dArr[0]) * (r17[0] - dArr[0])) + ((r17[1] - dArr[1]) * (r17[1] - dArr[1]))) + ((r17[2] - dArr[2]) * (r17[2] - dArr[2]))) / 2.0d) * 1.27420015798544E7d);\\r\\n }\",\n \"void plotLineDeltaA(int[] shades1, boolean tScreened1, int[] shades2,\\n boolean tScreened2, int shadeIndex, int xA, int yA, int zA,\\n int dxBA, int dyBA, int dzBA, boolean clipped) {\\n x1t = xA;\\n x2t = xA + dxBA;\\n y1t = yA;\\n y2t = yA + dyBA;\\n z1t = zA;\\n z2t = zA + dzBA;\\n if (clipped)\\n switch (getTrimmedLine()) {\\n case VISIBILITY_OFFSCREEN:\\n return;\\n case VISIBILITY_UNCLIPPED:\\n clipped = false;\\n }\\n plotLineClippedA(shades1, tScreened1, shades2, tScreened2, shadeIndex, xA,\\n yA, zA, dxBA, dyBA, dzBA, clipped, 0, 0);\\n }\",\n \"private void computeAverageFrequencyDelayValue() {\\n\\tthis.averageFrequencyDelayValue = value * this.averageDelay;\\n }\",\n \"void hit(int frequency, double duration, double amplitude){\\r\\n \\tSystem.out.println(\\\"Frequency: \\\"+frequency+\\\", Duration: \\\"+duration+\\\", Amplitude: \\\"+amplitude);\\r\\n \\t\\r\\n\\r\\n\\t\\tadder.inputA.set(frequency); //fc !!!\\r\\n\\t\\tvibrato.frequency.set( frequency+80 ); // fm!!!\\r\\n\\t\\tvibrato.amplitude.set( (frequency+80)*2 ); // fm*2!!!\\r\\n \\t\\r\\n\\t\\tint i=0;\\r\\n\\t\\tdata[i++] = 0.01;\\t\\t\\t// Duration of first segment. \\r\\n\\t\\tdata[i++] = amplitude; \\t\\t// value \\r\\n\\t\\tdata[i++] = duration*0.13; \\t// duration\\r\\n\\t\\t\\tamplitude/=2;\\r\\n\\t\\tdata[i++] = amplitude; \\t\\t// value \\r\\n\\t\\tdata[i++] = duration*0.23; \\t// duration \\r\\n\\t\\t\\tamplitude/=2;\\r\\n\\t\\tdata[i++] = amplitude; \\t\\t// value \\r\\n\\t\\tdata[i++] = duration*0.23; \\t// duration \\r\\n\\t\\t\\tamplitude/=2;\\r\\n\\t\\tdata[i++] = amplitude; \\t\\t// value \\r\\n\\t\\tdata[i++] = duration*0.4; \\t// duration \\r\\n\\t\\tdata[i++] = 0.0; \\t\\t\\t// value \\r\\n\\r\\n\\t\\ti = 0;\\r\\n\\t\\tamplitude = 280*2;\\r\\n\\t\\tdata2[i++] = 0.01;\\t\\t\\t// Duration of first segment. \\r\\n\\t\\tdata2[i++] = amplitude; \\t\\t// value \\r\\n\\t\\tdata2[i++] = duration*0.13; \\t// duration\\r\\n\\t\\t\\tamplitude/=2;\\r\\n\\t\\tdata2[i++] = amplitude; \\t\\t// value \\r\\n\\t\\tdata2[i++] = duration*0.23; \\t// duration \\r\\n\\t\\t\\tamplitude/=2;\\r\\n\\t\\tdata2[i++] = amplitude; \\t\\t// value \\r\\n\\t\\tdata2[i++] = duration*0.23; \\t// duration \\r\\n\\t\\t\\tamplitude/=2;\\r\\n\\t\\tdata2[i++] = amplitude; \\t\\t// value \\r\\n\\t\\tdata2[i++] = duration*0.4; \\t// duration \\r\\n\\t\\tdata2[i++] = 0.0; \\t\\t\\t// value \\r\\n\\r\\n\\t\\tenvData.write( 0, data, 0, i/2 );\\r\\n\\t\\tenvData2.write( 0, data2, 0, i/2 );\\r\\n \\tenvPlayer.envelopePort.clear();\\r\\n \\tenvPlayer2.envelopePort.clear();\\r\\n \\tenvPlayer.envelopePort.queue( envData, 0, i/2 );\\r\\n \\tenvPlayer2.envelopePort.queue( envData2, 0, i/2 );\\r\\n }\",\n \"public void addline(int Signal, String mac, String SSID, int frequncy) {\\r\\n\\r\\n\\t\\tthis.wifis.add(new wifi(Signal,mac,SSID,frequncy));\\r\\n\\t\\tnumOfScans++;\\r\\n\\t}\",\n \"static double slope(Line line) {\\n return (line.b == 1) ? -line.a : INF;\\n }\",\n \"double getAvgTreatment();\",\n \"private double[][] calculateValues() throws ExafsScanPointCreatorException {\\n\\t\\tscanTimes= new ArrayList<> ();\\n\\t\\tdouble[][] preEdgeEnergies = createStepArray(initialEnergy, aEnergy, preEdgeStep, preEdgeTime, false,\\n\\t\\t\\t\\tnumberDetectors);\\n\\t\\tscanTimes.add(new ExafsScanRegionTime(\\\"PreEdge\\\", preEdgeEnergies.length, new double[]{preEdgeTime}));\\n\\t\\tdouble[][] abEnergies = convertABSteps(aEnergy, bEnergy, preEdgeStep, edgeStep, preEdgeTime);\\n\\t\\tscanTimes.add(new ExafsScanRegionTime(\\\"AbEdge\\\", abEnergies.length, new double[]{preEdgeTime}));\\n\\n\\t\\tdouble[][] bcEnergies = createStepArray(bEnergy+edgeStep, cEnergy, edgeStep, edgeTime, false, numberDetectors);\\n\\t\\tscanTimes.add(new ExafsScanRegionTime(\\\"BcEnergy\\\", bcEnergies.length, new double[]{edgeTime}));\\n\\t\\t// if varying time the temporarily set the exafs time to a fixed value\\n\\t\\tif (!exafsConstantTime)\\n\\t\\t\\texafsTime = exafsFromTime;\\n\\n\\t\\tdouble[][] exafsEnergies;\\n\\t\\tif (exafsConstantEnergyStep)\\n\\t\\t\\texafsEnergies = createStepArray(cEnergy, finalEnergy, exafsStep, exafsTime, true, numberDetectors);\\n\\t\\telse\\n\\t\\t\\texafsEnergies = calculateExafsEnergiesConstantKStep();\\n\\t\\t// now change all the exafs times if they vary\\n\\t\\tif (!exafsConstantTime)\\n\\t\\t\\texafsEnergies = convertTimes(exafsEnergies, exafsFromTime, exafsToTime);\\n\\n\\t\\t// Smooth out the transition between edge and exafs region.\\n\\t\\tfinal double[][][] newRegions = createEdgeToExafsSteps(cEnergy, exafsEnergies, edgeStep, exafsTime);\\n\\t\\tfinal double[][] edgeToExafsEnergies = newRegions[0];\\n\\t\\tif(edgeToExafsEnergies != null)\\n\\t\\t\\tscanTimes.add(new ExafsScanRegionTime(\\\"EdgetoExafs\\\", edgeToExafsEnergies.length, new double[]{exafsTime}));\\n\\t\\texafsEnergies = newRegions[1];\\n\\n\\t\\t// The edgeToExafsEnergies replaces the first EXAFS_SMOOTH_COUNT\\n\\n\\t\\t// merge arrays\\n\\t\\tdouble []exafsRegionTimeArray = new double[exafsEnergies.length];\\n\\t\\tint k =0;\\n\\t\\tfor(double[] exafsEnergy : exafsEnergies)\\n\\t\\t\\texafsRegionTimeArray[k++ ] = exafsEnergy[1];\\n\\t\\tscanTimes.add(new ExafsScanRegionTime(\\\"Exafs\\\", 1, exafsRegionTimeArray));\\n\\t\\tdouble[][] allEnergies = (double[][]) ArrayUtils.addAll(preEdgeEnergies, abEnergies);\\n\\t\\tallEnergies = (double[][]) ArrayUtils.addAll(allEnergies, bcEnergies);\\n\\t\\tif (edgeToExafsEnergies != null)\\n\\t\\t\\tallEnergies = (double[][]) ArrayUtils.addAll(allEnergies, edgeToExafsEnergies);\\n\\t\\tallEnergies = (double[][]) ArrayUtils.addAll(allEnergies, exafsEnergies);\\n\\t\\treturn allEnergies;\\n\\t}\",\n \"static double sawtoothWave(double timeInSeconds, double frequency) {\\r\\n\\t\\treturn 0;\\t\\t\\r\\n\\t}\",\n \"public static double getGraidentBasedOnTradingDays(IGraphLine aLine, TreeSet<AbstractGraphPoint> listOfTradingDays) {\\r\\n double result = 0;\\r\\n if (null != aLine && null != listOfTradingDays) {\\r\\n AbstractGraphPoint myCurrStart = aLine.getCurrentC();\\r\\n AbstractGraphPoint myCurrEnd = aLine.getCurrentE();\\r\\n if (myCurrStart.getDateAsNumber() != myCurrEnd.getDateAsNumber()) {\\r\\n// TreeSet<AbstractGraphPoint> tDay = new TreeSet<AbstractGraphPoint>(AbstractGraphPoint.TimeComparator);\\r\\n// tDay.addAll(listOfTradingDays);\\r\\n //Calc P1\\r\\n //Get Market close time on start day\\r\\n Calendar endTrading = DTUtil.deepCopyCalendar(myCurrStart.getCalDate());\\r\\n endTrading.setTimeZone(DTConstants.EXCH_TIME_ZONE);\\r\\n endTrading.set(Calendar.HOUR_OF_DAY, DTConstants.EXCH_CLOSING_HOUR);\\r\\n endTrading.set(Calendar.MINUTE, DTConstants.EXCH_CLOSING_MIN);\\r\\n endTrading.set(Calendar.SECOND, DTConstants.EXCH_CLOSING_SEC);\\r\\n double p1 = endTrading.getTimeInMillis() - myCurrStart.getCalDate().getTimeInMillis();\\r\\n //double p1 = endTrading.getTimeInMillis() - (myCurrStart.getCalDate().getTimeInMillis() - DTConstants.MILLSECS_PER_HOUR);\\r\\n //Now calculate P2\\r\\n //Get Market open time on end day\\r\\n Calendar startTrading = DTUtil.deepCopyCalendar(myCurrEnd.getCalDate());\\r\\n startTrading.setTimeZone(DTConstants.EXCH_TIME_ZONE);\\r\\n startTrading.set(Calendar.HOUR_OF_DAY, DTConstants.EXCH_OPENING_HOUR);\\r\\n startTrading.set(Calendar.MINUTE, DTConstants.EXCH_OPENING_MIN);\\r\\n startTrading.set(Calendar.SECOND, DTConstants.EXCH_OPENING_SEC);\\r\\n double p2 = (myCurrEnd.getCalDate().getTimeInMillis() - startTrading.getTimeInMillis());\\r\\n //double p2 = (myCurrEnd.getCalDate().getTimeInMillis() - DTConstants.MILLSECS_PER_HOUR) - startTrading.getTimeInMillis();\\r\\n //Now calc P3\\r\\n //Get count of trading days from list\\r\\n// int currStartDay = myCurrStart.getDateAsNumber();\\r\\n// int currEndDay = myCurrEnd.getDateAsNumber();\\r\\n// NavigableSet<AbstractGraphPoint> subSet = new TreeSet<AbstractGraphPoint>();\\r\\n// for(AbstractGraphPoint currPoint : tDay){\\r\\n// int currDay = currPoint.getDateAsNumber();\\r\\n// if(currDay > currStartDay && currDay < currEndDay){\\r\\n// subSet.add(currPoint);\\r\\n// }\\r\\n// }\\r\\n NavigableSet<AbstractGraphPoint> subSet = listOfTradingDays.subSet(myCurrStart, false, myCurrEnd, false);\\r\\n ArrayList<AbstractGraphPoint> theSet = new ArrayList<AbstractGraphPoint>();\\r\\n theSet.addAll(subSet);\\r\\n for (AbstractGraphPoint currPoint : theSet) {\\r\\n if (currPoint.getDateAsNumber() == myCurrStart.getDateAsNumber() || currPoint.getDateAsNumber() == myCurrEnd.getDateAsNumber()) {\\r\\n subSet.remove(currPoint);\\r\\n }\\r\\n }\\r\\n double dayCount = subSet.size();\\r\\n double p3 = dayCount * DTUtil.msPerTradingDay();\\r\\n\\r\\n //Sum all three parts as deltaX\\r\\n double deltaX = p1 + p2 + p3;\\r\\n double deltaY = myCurrEnd.getLastPrice() - myCurrStart.getLastPrice();\\r\\n\\r\\n //Gradient is deltaY / deltaX\\r\\n result = deltaY / deltaX;\\r\\n\\r\\n System.out.println(\\\"Delta Y = \\\" + deltaY);\\r\\n System.out.println(\\\"Delta X = \\\" + deltaX);\\r\\n System.out.println(aLine.toString());\\r\\n } else {\\r\\n result = aLine.getGradient();\\r\\n System.out.println(aLine.toString());\\r\\n }\\r\\n }\\r\\n return result;\\r\\n }\",\n \"public double getCalcAverage(double a15m, double a1h, double a4h, double a12h, double a1d, double a2d, double a7d) {\\r\\n\\t\\tdouble avg = 0;\\r\\n\\t\\t\\r\\n\\t\\tavg += a7d * (_7dWeight / 100.);\\r\\n\\t\\tavg += a2d * (_2dWeight / 100.);\\r\\n\\t\\tavg += a1d * (_1dWeight / 100.);\\r\\n\\t\\tavg += a12h * (_12hWeight / 100.);\\r\\n\\t\\t\\r\\n\\t\\t//This part check on whether the lower averages were null(-1) and if so assigns their weight to the higher up averages\\r\\n\\t\\tif(a4h < 0) {\\r\\n\\t\\t\\tavg += a12h * ((_4hWeight + _1hWeight + _15mWeight) / 100.);\\r\\n\\t\\t}\\r\\n\\t\\telse {\\r\\n\\t\\t\\tavg += a4h * (_4hWeight / 100.);\\r\\n\\t\\t\\tif(a1h < 0) {\\r\\n\\t\\t\\t\\tavg += a4h * ((_1hWeight + _15mWeight) / 100.);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\telse {\\r\\n\\t\\t\\t\\tavg += a1h * (_1hWeight / 100.);\\r\\n\\t\\t\\t\\tif(a15m < 0) {\\r\\n\\t\\t\\t\\t\\tavg += a1h * ((_15mWeight) / 100.);\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\telse {\\r\\n\\t\\t\\t\\t\\tavg += a15m * (_15mWeight / 100.);\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\treturn avg;\\r\\n\\t}\",\n \"public ArrayList<Double> method1(int a, int b) {\\n \\tif(a > b) {\\n \\t\\tint temp = a;\\n \\t\\ta = b;\\n \\t\\tb = temp;\\n \\t}\\n \\t\\n int nnumberofFilters = 24;\\t\\n int nlifteringCoefficient = b;\\t//earlier value was 22, now set to a-20\\n boolean oisLifteringEnabled = true;\\n boolean oisZeroThCepstralCoefficientCalculated = false;\\n int nnumberOfMFCCParameters = a; //earlier value was 12, now set to a-10//without considering 0-th\\n double dsamplingFrequency = 8000.0;\\n int nFFTLength = 512;\\n ArrayList<Double> mfcc_parameters = new ArrayList<Double>();\\n \\n if (oisZeroThCepstralCoefficientCalculated) {\\n //take in account the zero-th MFCC\\n nnumberOfMFCCParameters = nnumberOfMFCCParameters + 1;\\n }\\n else {\\n nnumberOfMFCCParameters = nnumberOfMFCCParameters;\\n }\\n\\n MFCC mfcc = new MFCC(nnumberOfMFCCParameters,\\n dsamplingFrequency,\\n nnumberofFilters,\\n nFFTLength,\\n oisLifteringEnabled,\\n nlifteringCoefficient,\\n oisZeroThCepstralCoefficientCalculated);\\n //simulate a frame of speech\\n double[] x = new double[160];\\n Random rand = new Random();\\n x[2]= rand.nextDouble(); x[4]= rand.nextDouble();\\n double[] dparameters = mfcc.getParameters(x);\\n for (int i = 0; i < dparameters.length; i++) \\n {\\n \\tmfcc_parameters.add(dparameters[i]);\\n }\\n if(Preferences.DEBUG_MODE)\\n\\t\\t\\tSystem.out.println(\\\"DEBUG SET MFCC result: \\\"+mfcc_parameters);\\t \\t \\n \\n\\t\\treturn mfcc_parameters;\\n }\",\n \"public double getCdragAnalytical (double cldin, double effaoa, double thickness, double camber)\\n {\\n double dragco = 0;\\n int index,ifound; \\n double dragCam0Thk5, dragCam5Thk5, dragCam10Thk5, dragCam15Thk5, dragCam20Thk5;\\n double dragCam0Thk10, dragCam5Thk10, dragCam10Thk10, dragCam15Thk10, dragCam20Thk10;\\n double dragCam0Thk15, dragCam5Thk15, dragCam10Thk15, dragCam15Thk15, dragCam20Thk15;\\n double dragCam0Thk20, dragCam5Thk20, dragCam10Thk20, dragCam15Thk20, dragCam20Thk20;\\n double dragThk5, dragThk10, dragThk15, dragThk20;\\n double dragCam0, dragCam5, dragCam10, dragCam15, dragCam20; //used for the flat plate drag values\\n\\n if (current_part.foil == FOIL_JOUKOWSKI) //airfoil drag logic\\n {\\n //switch (in.opts.foil_drag_comp_method) {\\n //case DRAG_COMP_POLY_FOILSIMORIG: {\\n // thickness 5%\\n dragCam0Thk5 = -9E-07*Math.pow(effaoa,3) + 0.0007*Math.pow(effaoa,2) + 0.0008*effaoa + 0.015;\\n dragCam5Thk5 = 4E-08*Math.pow(effaoa,5) - 7E-07*Math.pow(effaoa,4) - 1E-05*Math.pow(effaoa,3) + 0.0009*Math.pow(effaoa,2) + 0.0033*effaoa + 0.0301;\\n dragCam10Thk5 = -9E-09*Math.pow(effaoa,6) - 6E-08*Math.pow(effaoa,5) + 5E-06*Math.pow(effaoa,4) + 3E-05*Math.pow(effaoa,3) - 0.0001*Math.pow(effaoa,2) - 0.0025*effaoa + 0.0615;\\n dragCam15Thk5 = 8E-10*Math.pow(effaoa,6) - 5E-08*Math.pow(effaoa,5) - 1E-06*Math.pow(effaoa,4) + 3E-05*Math.pow(effaoa,3) + 0.0008*Math.pow(effaoa,2) - 0.0027*effaoa + 0.0612;\\n dragCam20Thk5 = 8E-9*Math.pow(effaoa,6) + 1E-8*Math.pow(effaoa,5) - 5E-6*Math.pow(effaoa,4) + 6E-6*Math.pow(effaoa,3) + 0.001*Math.pow(effaoa,2) - 0.001*effaoa + 0.1219;\\n\\n // thickness 10%\\n dragCam0Thk10 = -1E-08*Math.pow(effaoa,6) + 6E-08*Math.pow(effaoa,5) + 6E-06*Math.pow(effaoa,4) - 2E-05*Math.pow(effaoa,3) - 0.0002*Math.pow(effaoa,2) + 0.0017*effaoa + 0.0196;\\n dragCam5Thk10 = 3E-09*Math.pow(effaoa,6) + 6E-08*Math.pow(effaoa,5) - 2E-06*Math.pow(effaoa,4) - 3E-05*Math.pow(effaoa,3) + 0.0008*Math.pow(effaoa,2) + 0.0038*effaoa + 0.0159;\\n dragCam10Thk10 = -5E-09*Math.pow(effaoa,6) - 3E-08*Math.pow(effaoa,5) + 2E-06*Math.pow(effaoa,4) + 1E-05*Math.pow(effaoa,3) + 0.0004*Math.pow(effaoa,2) - 3E-05*effaoa + 0.0624;\\n dragCam15Thk10 = -2E-09*Math.pow(effaoa,6) - 2E-08*Math.pow(effaoa,5) - 5E-07*Math.pow(effaoa,4) + 8E-06*Math.pow(effaoa,3) + 0.0009*Math.pow(effaoa,2) + 0.0034*effaoa + 0.0993;\\n dragCam20Thk10 = 2E-09*Math.pow(effaoa,6) - 3E-08*Math.pow(effaoa,5) - 2E-06*Math.pow(effaoa,4) + 2E-05*Math.pow(effaoa,3) + 0.0009*Math.pow(effaoa,2) + 0.0023*effaoa + 0.1581;\\n\\n // thickness 15%\\n dragCam0Thk15 = -5E-09*Math.pow(effaoa,6) + 7E-08*Math.pow(effaoa,5) + 3E-06*Math.pow(effaoa,4) - 3E-05*Math.pow(effaoa,3) - 7E-05*Math.pow(effaoa,2) + 0.0017*effaoa + 0.0358;\\n dragCam5Thk15 = -4E-09*Math.pow(effaoa,6) - 8E-09*Math.pow(effaoa,5) + 2E-06*Math.pow(effaoa,4) - 9E-07*Math.pow(effaoa,3) + 0.0002*Math.pow(effaoa,2) + 0.0031*effaoa + 0.0351;\\n dragCam10Thk15 = 3E-09*Math.pow(effaoa,6) + 3E-08*Math.pow(effaoa,5) - 2E-06*Math.pow(effaoa,4) - 1E-05*Math.pow(effaoa,3) + 0.0009*Math.pow(effaoa,2) + 0.004*effaoa + 0.0543;\\n dragCam15Thk15 = 3E-09*Math.pow(effaoa,6) + 5E-08*Math.pow(effaoa,5) - 2E-06*Math.pow(effaoa,4) - 3E-05*Math.pow(effaoa,3) + 0.0008*Math.pow(effaoa,2) + 0.0087*effaoa + 0.1167;\\n dragCam20Thk15 = 3E-10*Math.pow(effaoa,6) - 3E-08*Math.pow(effaoa,5) - 6E-07*Math.pow(effaoa,4) + 3E-05*Math.pow(effaoa,3) + 0.0006*Math.pow(effaoa,2) + 0.0008*effaoa + 0.1859;\\n\\n // thickness 20%\\n dragCam0Thk20 = -3E-09*Math.pow(effaoa,6) + 2E-08*Math.pow(effaoa,5) + 2E-06*Math.pow(effaoa,4) - 8E-06*Math.pow(effaoa,3) - 4E-05*Math.pow(effaoa,2) + 0.0003*effaoa + 0.0416;\\n dragCam5Thk20 = -3E-09*Math.pow(effaoa,6) - 7E-08*Math.pow(effaoa,5) + 1E-06*Math.pow(effaoa,4) + 3E-05*Math.pow(effaoa,3) + 0.0004*Math.pow(effaoa,2) + 5E-05*effaoa + 0.0483;\\n dragCam10Thk20 = 1E-08*Math.pow(effaoa,6) + 4E-08*Math.pow(effaoa,5) - 6E-06*Math.pow(effaoa,4) - 2E-05*Math.pow(effaoa,3) + 0.0014*Math.pow(effaoa,2) + 0.007*effaoa + 0.0692;\\n dragCam15Thk20 = 3E-09*Math.pow(effaoa,6) - 9E-08*Math.pow(effaoa,5) - 3E-06*Math.pow(effaoa,4) + 4E-05*Math.pow(effaoa,3) + 0.001*Math.pow(effaoa,2) + 0.0021*effaoa + 0.139;\\n dragCam20Thk20 = 3E-09*Math.pow(effaoa,6) - 7E-08*Math.pow(effaoa,5) - 3E-06*Math.pow(effaoa,4) + 4E-05*Math.pow(effaoa,3) + 0.0012*Math.pow(effaoa,2) + 0.001*effaoa + 0.1856;\\n\\n if (-20.0 <= camber && camber < -15.0)\\n {\\n dragThk5 = (camber/5 + 4)*(dragCam15Thk5 - dragCam20Thk5) + dragCam20Thk5;\\n dragThk10 = (camber/5 + 4)*(dragCam15Thk10 - dragCam20Thk10) + dragCam20Thk10;\\n dragThk15 = (camber/5 + 4)*(dragCam15Thk15 - dragCam20Thk15) + dragCam20Thk15;\\n dragThk20 = (camber/5 + 4)*(dragCam15Thk20 - dragCam20Thk20) + dragCam20Thk20;\\n \\n if (1.0 <= thickness && thickness <= 5.0)\\n {\\n dragco = dragThk5;\\n }\\n else if (5.0 < thickness && thickness <= 10.0)\\n { // dragco = two_pt(5.0, 10.0, dragThk5, dragThk10)\\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\\n }\\n else if (10.0 < thickness && thickness <= 15.0)\\n {\\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\\n }\\n else if (15.0 < thickness && thickness <= 20.0)\\n {\\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\\n }\\n }\\n else if (-15.0 <= camber && camber < -10.0)\\n {\\n dragThk5 = (camber/5 + 3)*(dragCam10Thk5 - dragCam15Thk5) + dragCam15Thk5;\\n dragThk10 = (camber/5 + 3)*(dragCam10Thk10 - dragCam15Thk10) + dragCam15Thk10;\\n dragThk15 = (camber/5 + 3)*(dragCam10Thk15 - dragCam15Thk15) + dragCam15Thk15;\\n dragThk20 = (camber/5 + 3)*(dragCam10Thk20 - dragCam15Thk20) + dragCam15Thk20;\\n\\n if (1.0 <= thickness && thickness <= 5.0)\\n {\\n dragco = dragThk5;\\n }\\n else if (5.0 < thickness && thickness <= 10.0)\\n {\\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\\n }\\n else if (10.0 < thickness && thickness <= 15.0)\\n {\\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\\n }\\n else if (15.0 < thickness && thickness <= 20.0)\\n {\\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\\n }\\n }\\n else if (-10.0 <= camber && camber < -5.0)\\n {\\n dragThk5 = (camber/5 + 2)*(dragCam5Thk5 - dragCam10Thk5) + dragCam10Thk5;\\n dragThk10 = (camber/5 + 2)*(dragCam5Thk10 - dragCam10Thk10) + dragCam10Thk10;\\n dragThk15 = (camber/5 + 2)*(dragCam5Thk15 - dragCam10Thk15) + dragCam10Thk15;\\n dragThk20 = (camber/5 + 2)*(dragCam5Thk20 - dragCam10Thk20) + dragCam10Thk20;\\n\\n if (1.0 <= thickness && thickness <= 5.0)\\n {\\n dragco = dragThk5;\\n }\\n else if (5.0 < thickness && thickness <= 10.0)\\n {\\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\\n }\\n else if (10.0 < thickness && thickness <= 15.0)\\n {\\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\\n }\\n else if (15.0 < thickness && thickness <= 20.0)\\n {\\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\\n }\\n }\\n else if (-5.0 <= camber && camber < 0)\\n {\\n dragThk5 = (camber/5 + 1)*(dragCam0Thk5 - dragCam5Thk5) + dragCam5Thk5;\\n dragThk10 = (camber/5 + 1)*(dragCam0Thk10 - dragCam5Thk10) + dragCam5Thk10;\\n dragThk15 = (camber/5 + 1)*(dragCam0Thk15 - dragCam5Thk15) + dragCam5Thk15;\\n dragThk20 = (camber/5 + 1)*(dragCam0Thk20 - dragCam5Thk20) + dragCam5Thk20;\\n\\n if (1.0 <= thickness && thickness <= 5.0)\\n {\\n dragco = dragThk5;\\n }\\n else if (5.0 < thickness && thickness <= 10.0)\\n {\\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\\n }\\n else if (10.0 < thickness && thickness <= 15.0)\\n {\\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\\n }\\n else if (15.0 < thickness && thickness <= 20.0)\\n {\\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\\n }\\n }\\n else if (0 <= camber && camber < 5)\\n {\\n dragThk5 = (camber/5)*(dragCam5Thk5 - dragCam0Thk5) + dragCam0Thk5;\\n dragThk10 = (camber/5)*(dragCam5Thk10 - dragCam0Thk10) + dragCam0Thk10;\\n dragThk15 = (camber/5)*(dragCam5Thk15 - dragCam0Thk15) + dragCam0Thk15;\\n dragThk20 = (camber/5)*(dragCam5Thk20 - dragCam0Thk20) + dragCam0Thk20;\\n\\n if (1.0 <= thickness && thickness <= 5.0)\\n {\\n dragco = dragThk5;\\n }\\n else if (5.0 < thickness && thickness <= 10.0)\\n {\\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\\n }\\n else if (10.0 < thickness && thickness <= 15.0)\\n {\\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\\n }\\n else if (15.0 < thickness && thickness <= 20.0)\\n {\\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\\n }\\n }\\n else if (5 <= camber && camber < 10)\\n {\\n dragThk5 = (camber/5 - 1)*(dragCam10Thk5 - dragCam5Thk5) + dragCam5Thk5;\\n dragThk10 = (camber/5 - 1)*(dragCam10Thk10 - dragCam5Thk10) + dragCam5Thk10;\\n dragThk15 = (camber/5 - 1)*(dragCam10Thk15 - dragCam5Thk15) + dragCam5Thk15;\\n dragThk20 = (camber/5 - 1)*(dragCam10Thk20 - dragCam5Thk20) + dragCam5Thk20;\\n\\n if (1.0 <= thickness && thickness <= 5.0)\\n {\\n dragco = dragThk5;\\n }\\n else if (5.0 < thickness && thickness <= 10.0)\\n {\\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\\n }\\n else if (10.0 < thickness && thickness <= 15.0)\\n {\\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\\n }\\n else if (15.0 < thickness && thickness <= 20.0)\\n {\\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\\n }\\n }\\n else if (10 <= camber && camber < 15)\\n {\\n dragThk5 = (camber/5 - 2)*(dragCam15Thk5 - dragCam10Thk5) + dragCam10Thk5;\\n dragThk10 = (camber/5 - 2)*(dragCam15Thk10 - dragCam10Thk10) + dragCam10Thk10;\\n dragThk15 = (camber/5 - 2)*(dragCam15Thk15 - dragCam10Thk15) + dragCam10Thk15;\\n dragThk20 = (camber/5 - 2)*(dragCam15Thk20 - dragCam10Thk20) + dragCam10Thk20;\\n\\n if (1.0 <= thickness && thickness <= 5.0)\\n {\\n dragco = dragThk5;\\n }\\n else if (5.0 < thickness && thickness <= 10.0)\\n {\\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\\n }\\n else if (10.0 < thickness && thickness <= 15.0)\\n {\\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\\n }\\n else if (15.0 < thickness && thickness <= 20.0)\\n {\\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\\n }\\n }\\n else if (15 <= camber && camber <= 20)\\n {\\n dragThk5 = (camber/5 - 3)*(dragCam20Thk5 - dragCam15Thk5) + dragCam15Thk5;\\n dragThk10 = (camber/5 - 3)*(dragCam20Thk10 - dragCam15Thk10) + dragCam15Thk10;\\n dragThk15 = (camber/5 - 3)*(dragCam20Thk15 - dragCam15Thk15) + dragCam15Thk15;\\n dragThk20 = (camber/5 - 3)*(dragCam20Thk20 - dragCam15Thk20) + dragCam15Thk20;\\n\\n if (1.0 <= thickness && thickness <= 5.0)\\n {\\n dragco = dragThk5;\\n }\\n else if (5.0 < thickness && thickness <= 10.0)\\n {\\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\\n }\\n else if (10.0 < thickness && thickness <= 15.0)\\n {\\n dragco = (thickness/5 - 2)*(dragThk15 - dragThk10) + dragThk10;\\n }\\n else if (15.0 < thickness && thickness <= 20.0)\\n {\\n dragco = (thickness/5 - 3)*(dragThk20 - dragThk15) + dragThk15;\\n }\\n }\\n } else if (current_part.foil == FOIL_ELLIPTICAL) //elliptical drag logic\\n {\\n dragCam0Thk5 = -6E-07*Math.pow(effaoa,3) + 0.0007*Math.pow(effaoa,2) + 0.0007*effaoa + 0.0428;\\n dragCam10Thk5 = 5E-09*Math.pow(effaoa,6) - 7E-08*Math.pow(effaoa,5) - 3E-06*Math.pow(effaoa,4) + 5E-05*Math.pow(effaoa,3) + 0.0009*Math.pow(effaoa,2) - 0.0058*effaoa + 0.0758;\\n dragCam20Thk5 = 1E-08*Math.pow(effaoa,6) - 2E-08*Math.pow(effaoa,5) - 7E-06*Math.pow(effaoa,4) + 1E-05*Math.pow(effaoa,3) + 0.0015*Math.pow(effaoa,2) + 0.0007*effaoa + 0.1594;\\n \\n dragCam0Thk10 = 3E-09*Math.pow(effaoa,6) + 4E-08*Math.pow(effaoa,5) - 3E-06*Math.pow(effaoa,4) - 9E-06*Math.pow(effaoa,3) + 0.0013*Math.pow(effaoa,2) + 0.0007*effaoa + 0.0112;\\n dragCam10Thk10 = -4E-09*Math.pow(effaoa,6) - 9E-08*Math.pow(effaoa,5) + 2E-06*Math.pow(effaoa,4) + 7E-05*Math.pow(effaoa,3) + 0.0008*Math.pow(effaoa,2) - 0.0095*effaoa + 0.0657;\\n dragCam20Thk10 = -8E-09*Math.pow(effaoa,6) - 9E-08*Math.pow(effaoa,5) + 3E-06*Math.pow(effaoa,4) + 6E-05*Math.pow(effaoa,3) + 0.0005*Math.pow(effaoa,2) - 0.0088*effaoa + 0.2088;\\n\\n dragCam0Thk20 = -7E-09*Math.pow(effaoa,6) - 1E-07*Math.pow(effaoa,5) + 4E-06*Math.pow(effaoa,4) + 6E-05*Math.pow(effaoa,3) + 0.0001*Math.pow(effaoa,2) - 0.0087*effaoa + 0.0596;\\n dragCam10Thk20 = -2E-09*Math.pow(effaoa,6) + 2E-07*Math.pow(effaoa,5) + 1E-06*Math.pow(effaoa,4) - 6E-05*Math.pow(effaoa,3) + 0.0004*Math.pow(effaoa,2) - 7E-05*effaoa + 0.1114;\\n dragCam20Thk20 = 4E-09*Math.pow(effaoa,6) - 7E-08*Math.pow(effaoa,5) - 3E-06*Math.pow(effaoa,4) + 3E-05*Math.pow(effaoa,3) + 0.001*Math.pow(effaoa,2) - 0.0018*effaoa + 0.1925;\\n\\n if (-20.0 <= camber && camber < -10.0)\\n {\\n dragThk5 = (camber/10 + 2)*(dragCam10Thk5 - dragCam20Thk5) + dragCam20Thk5;\\n dragThk10 = (camber/10 + 2)*(dragCam10Thk10 - dragCam20Thk10) + dragCam20Thk10;\\n dragThk20 = (camber/10 + 2)*(dragCam10Thk20 - dragCam20Thk20) + dragCam20Thk20;\\n \\n if (1.0 <= thickness && thickness <= 5.0)\\n {\\n dragco = dragThk5;\\n }\\n else if (5.0 < thickness && thickness <= 10.0)\\n {\\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\\n }\\n else if (10.0 < thickness && thickness <= 20.0)\\n {\\n dragco = (thickness/10 - 1)*(dragThk20 - dragThk10) + dragThk10;\\n }\\n }\\n else if (-10.0 <= camber && camber < 0)\\n {\\n dragThk5 = (camber/10 + 1)*(dragCam0Thk5 - dragCam10Thk5) + dragCam10Thk5;\\n dragThk10 = (camber/10 + 1)*(dragCam0Thk10 - dragCam10Thk10) + dragCam10Thk10;\\n dragThk20 = (camber/10 + 1)*(dragCam0Thk20 - dragCam10Thk20) + dragCam10Thk20;\\n\\n if (1.0 <= thickness && thickness <= 5.0)\\n {\\n dragco = dragThk5;\\n }\\n else if (5.0 < thickness && thickness <= 10.0)\\n {\\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\\n }\\n else if (10.0 < thickness && thickness <= 20.0)\\n {\\n dragco = (thickness/10 - 1)*(dragThk20 - dragThk10) + dragThk10;\\n }\\n }\\n else if (0 <= camber && camber < 10)\\n {\\n dragThk5 = (camber/10)*(dragCam10Thk5 - dragCam0Thk5) + dragCam0Thk5;\\n dragThk10 = (camber/10)*(dragCam10Thk10 - dragCam0Thk10) + dragCam0Thk10;\\n dragThk20 = (camber/10)*(dragCam10Thk20 - dragCam0Thk20) + dragCam0Thk20;\\n\\n if (1.0 <= thickness && thickness <= 5.0)\\n {\\n dragco = dragThk5;\\n }\\n else if (5.0 < thickness && thickness <= 10.0)\\n {\\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\\n }\\n else if (10.0 < thickness && thickness <= 20.0)\\n {\\n dragco = (thickness/10 - 1)*(dragThk20 - dragThk10) + dragThk10;\\n }\\n }\\n else if (10 <= camber && camber < 20)\\n {\\n dragThk5 = (camber/10 - 1)*(dragCam20Thk5 - dragCam10Thk5) + dragCam10Thk5;\\n dragThk10 = (camber/10 - 1)*(dragCam20Thk10 - dragCam10Thk10) + dragCam10Thk10;\\n dragThk20 = (camber/10 - 1)*(dragCam20Thk20 - dragCam10Thk20) + dragCam10Thk20;\\n\\n if (1.0 <= thickness && thickness <= 5.0)\\n {\\n dragco = dragThk5;\\n }\\n else if (5.0 < thickness && thickness <= 10.0)\\n {\\n dragco = (thickness/5 - 1)*(dragThk10 - dragThk5) + dragThk5;\\n }\\n else if (10.0 < thickness && thickness <= 20.0)\\n {\\n dragco = (thickness/10 - 1)*(dragThk20 - dragThk10) + dragThk10;\\n }\\n }\\n\\n } // end of FOIL_ELLIPTICAL\\n else if (current_part.foil == FOIL_FLAT_PLATE) //flat plate drag logic\\n {\\n dragCam0 = -9E-07*Math.pow(effaoa,3) + 0.0007*Math.pow(effaoa,2) + 0.0008*effaoa + 0.015;\\n dragCam5 = 1E-08*Math.pow(effaoa,6) + 4E-08*Math.pow(effaoa,5) - 9E-06*Math.pow(effaoa,4) - 1E-05*Math.pow(effaoa,3) + 0.0021*Math.pow(effaoa,2) + 0.0033*effaoa + 0.006;\\n dragCam10 = -9E-09*Math.pow(effaoa,6) - 6E-08*Math.pow(effaoa,5) + 5E-06*Math.pow(effaoa,4) + 3E-05*Math.pow(effaoa,3) - 0.0001*Math.pow(effaoa,2) - 0.0025*effaoa + 0.0615;\\n dragCam15 = 8E-10*Math.pow(effaoa,6) - 5E-08*Math.pow(effaoa,5) - 1E-06*Math.pow(effaoa,4) + 3E-05*Math.pow(effaoa,3) + 0.0008*Math.pow(effaoa,2) - 0.0027*effaoa + 0.0612;\\n dragCam20 = 8E-9*Math.pow(effaoa,6) + 1E-8*Math.pow(effaoa,5) - 5E-6*Math.pow(effaoa,4) + 6E-6*Math.pow(effaoa,3) + 0.001*Math.pow(effaoa,2) - 0.001*effaoa + 0.1219;\\n\\n if (-20.0 <= camber && camber < -15.0)\\n {\\n dragco = (camber/5 + 4)*(dragCam15 - dragCam20) + dragCam20;\\n }\\n else if (-15.0 <= camber && camber < -10.0)\\n {\\n dragco = (camber/5 + 3)*(dragCam10 - dragCam15) + dragCam15;\\n }\\n else if (-10.0 <= camber && camber < -5.0)\\n {\\n dragco = (camber/5 + 2)*(dragCam5 - dragCam10) + dragCam10;\\n }\\n else if (-5.0 <= camber && camber < 0)\\n {\\n dragco = (camber/5 + 1)*(dragCam0 - dragCam5) + dragCam5;\\n }\\n else if (0 <= camber && camber < 5)\\n {\\n dragco = (camber/5)*(dragCam5 - dragCam0) + dragCam0;\\n }\\n else if (5 <= camber && camber < 10)\\n {\\n dragco = (camber/5 - 1)*(dragCam10 - dragCam5) + dragCam5;\\n }\\n else if (10 <= camber && camber < 15)\\n {\\n dragco = (camber/5 - 2)*(dragCam15 - dragCam10) + dragCam10;\\n }\\n else if (15 <= camber && camber <= 20)\\n {\\n dragco = (camber/5 - 3)*(dragCam20 - dragCam15) + dragCam15;\\n }\\n\\n } // end of FOIL_FLAT_PLATE\\n return dragco;\\n }\",\n \"private double estimateExecutionTimeSDLT(long sofar) {\\n \\tdouble estimate = 0;\\r\\n \\tdouble theta = (double)sofar/1000000000L;\\r\\n \\t/*bebe's formula*/\\r\\n \\tSystem.out.println(\\\"Predict SD-LT: Elapsed time: \\\" + theta);\\r\\n \\t/*should use a different formula for theta<meanX*/\\r\\n \\tdouble xmax = 2700; //should be updated by observations during high-throughput\\r\\n \\t\\t\\t\\t\\t\\t//or read from user in conpaas\\r\\n \\t\\r\\n \\tdouble A = meanX/2/xmax; \\r\\n \\t\\r\\n \\tdouble t0 = 0.366;\\r\\n \\tdouble sigma = 2*t0*t0*xmax;\\r\\n \\testimate = (Math.sqrt(2*xmax*sigma)*Math.exp(-sigma/(2*xmax))-Math.sqrt(2*theta*sigma)*Math.exp(-sigma/(2*theta)))/\\r\\n \\t\\t\\t\\t(Math.sqrt(Math.PI)*(erfc(Math.sqrt(sigma/(2*xmax)))-erfc(Math.sqrt(sigma/(2*theta))))) \\r\\n \\t\\t\\t\\t- sigma;\\r\\n \\t\\r\\n \\treturn estimate;\\r\\n }\",\n \"public void computeLine ()\\r\\n {\\r\\n line = new BasicLine();\\r\\n\\r\\n for (GlyphSection section : glyph.getMembers()) {\\r\\n StickSection ss = (StickSection) section;\\r\\n line.includeLine(ss.getLine());\\r\\n }\\r\\n\\r\\n if (logger.isFineEnabled()) {\\r\\n logger.fine(\\r\\n line + \\\" pointNb=\\\" + line.getNumberOfPoints() +\\r\\n \\\" meanDistance=\\\" + (float) line.getMeanDistance());\\r\\n }\\r\\n }\",\n \"private double calculateAverage(Candle[] cd) {\\n double sum = 0; \\r\\n for(Candle c : cd) {\\r\\n sum += c.getClose();\\r\\n }\\r\\n return sum/cd.length;\\r\\n \\r\\n }\",\n \"private double[][] calculateExafsEnergiesConstantKStep() {\\n\\t\\tdouble lowK = evToK(cEnergy);\\n\\t\\tdouble highK = evToK(finalEnergy);\\n\\t\\tdouble[][] kArray = createStepArray(lowK, highK, exafsStep, exafsTime, true, numberDetectors);\\n\\t\\t// convert from k to energy in each element\\n\\t\\tfor (int i = 0; i < kArray.length; i++)\\n\\t\\t\\tkArray[i][0] = kToEv(kArray[i][0]);\\n\\t\\treturn kArray;\\n\\t}\",\n \"public abstract double getCarbon();\",\n \"private double calculateT(Position lineStart, Position lineEnd, double lookaheadDistance) {\\n Position d = Functions.Positions.subtract(lineEnd, lineStart);\\n Position f = Functions.Positions.subtract(lineStart, currentCoord);\\n double r = lookaheadDistance;\\n\\n double a = Functions.Positions.dot(d, d);\\n double b = 2 * Functions.Positions.dot(f, d);\\n double c = Functions.Positions.dot(f, f) - r * r;\\n\\n double discriminant = b * b - 4 * a * c;\\n if (discriminant < 0) {\\n // no intersection\\n } else {\\n // ray didn't totally miss sphere, so there is a solution to the equation.\\n discriminant = Math.sqrt(discriminant);\\n\\n // either solution may be on or off the ray so need to test both\\n // t1 is always the smaller value, because BOTH discriminant and a are nonnegative.\\n double t1 = (-b - discriminant) / (2 * a);\\n double t2 = (-b + discriminant) / (2 * a);\\n\\n // 3x HIT cases:\\n // -o-> --|--> | | --|->\\n // Impale(t1 hit,t2 hit), Poke(t1 hit,t2>1), ExitWound(t1<0, t2 hit),\\n\\n // 3x MISS cases:\\n // -> o o -> | -> |\\n // FallShort (t1>1,t2>1), Past (t1<0,t2<0), CompletelyInside(t1<0, t2>1)\\n\\n if (t1 >= 0 && t1 <= 1) {\\n // t1 is the intersection, and it's closer than t2 (since t1 uses -b - discriminant)\\n // Impale, Poke\\n return t1;\\n }\\n\\n if (t2 >= 0 && t2 <= 1) {\\n return t2;\\n }\\n }\\n return Double.NaN;\\n }\",\n \"public PulseTransitTime() {\\n currPTT = 0.0;\\n hmPeakTimes = new ArrayList<>();\\n //maf = new MovingAverage(WINDOW_SIZE);\\n }\",\n \"public Line(float dT, float beginningAmplitude, float endAmplitude)\\n\\t{\\n\\t\\tsuper();\\n\\t\\tlineTime = dT;\\n\\t\\tbegAmp = beginningAmplitude;\\n\\t\\tamp = begAmp;\\n\\t\\tendAmp = endAmplitude;\\n\\t\\tlineNow = 0f;\\n\\t\\tisActivated = false;\\n\\t\\tMinim.debug(\\\" dampTime = \\\" + lineTime + \\\" begAmp = \\\" + begAmp + \\\" now = \\\" + lineNow);\\n\\t}\",\n \"double getAvgControl();\",\n \"public void decay() {\\r\\n\\t\\tfor(int i=0;i<boxes[0];i++)\\r\\n\\t\\t\\tfor(int j=0;j<boxes[1];j++)\\r\\n\\t\\t\\t\\tfor(int k=0;k<boxes[2];k++) quantity[i][j][k] *= (1 - decayRate*sim.getDt());\\r\\n\\t}\",\n \"public abstract double calcSA();\",\n \"public double updatePeriodic()\\n {\\n double Angle = getRawAngle();\\n\\n if (FirstCall)\\n {\\n AngleAverage = Angle;\\n }\\n\\n AngleAverage -= AngleAverage / NumAvgSamples;\\n AngleAverage += Angle / NumAvgSamples;\\n\\n return (AngleAverage);\\n }\",\n \"private static double calculateMovingAverage(JsArrayNumber history) {\\n double[] vals = new double[history.length()];\\n long size = history.length();\\n double sum = 0.0;\\n double mSum = 0.0;\\n long mCount = 0;\\n\\n // Check for sufficient data\\n if (size >= 8) {\\n // Clone the array and Calculate sum of the values\\n for (int i = 0; i < size; i++) {\\n vals[i] = history.get(i);\\n sum += vals[i];\\n }\\n double mean = sum / size;\\n\\n // Calculate variance for the set\\n double varianceTemp = 0.0;\\n for (int i = 0; i < size; i++) {\\n varianceTemp += Math.pow(vals[i] - mean, 2);\\n }\\n double variance = varianceTemp / size;\\n double standardDev = Math.sqrt(variance);\\n\\n // Standardize the Data\\n for (int i = 0; i < size; i++) {\\n vals[i] = (vals[i] - mean) / standardDev;\\n }\\n\\n // Calculate the average excluding outliers\\n double deviationRange = 2.0;\\n\\n for (int i = 0; i < size; i++) {\\n if (vals[i] <= deviationRange && vals[i] >= -deviationRange) {\\n mCount++;\\n mSum += history.get(i);\\n }\\n }\\n\\n } else {\\n // Calculate the average (not enough data points to remove outliers)\\n mCount = size;\\n for (int i = 0; i < size; i++) {\\n mSum += history.get(i);\\n }\\n }\\n\\n return mSum / mCount;\\n }\",\n \"public TrendVolatilityLineIndicator(Indicator<? extends MultipleMovingAverage> mmaIndicator, int index, TADecimal entry) {\\n if (mmaIndicator == null) {\\n throw new IllegalArgumentException(\\\"Supplied input Indicator is invalid: NULL\\\");\\n }\\n if (entry == null) {\\n throw new IllegalArgumentException(\\\"Supplied input TADecimal entry is invalid: NULL\\\");\\n }\\n this.sustainability = Sustainability.UNKNOWN;\\n this.mmaIndicator = mmaIndicator;\\n this.entry = entry;\\n this.tvls = new ArrayList<>();\\n tvls.add(entry);\\n }\",\n \"public void generateTone()\\n throws LineUnavailableException {\\n if ( clip!=null ) {\\n clip.stop();\\n clip.close();\\n } else {\\n clip = AudioSystem.getClip();\\n }\\n boolean addHarmonic = harmonic.isSelected();\\n\\n int intSR = ((Integer)sampleRate.getSelectedItem()).intValue();\\n int intFPW = framesPerWavelength.getValue();\\n\\n float sampleRate = (float)intSR;\\n\\n // oddly, the sound does not loop well for less than\\n // around 5 or so, wavelengths\\n int wavelengths = 20;\\n byte[] buf = new byte[2*intFPW*wavelengths];\\n AudioFormat af = new AudioFormat(\\n sampleRate,\\n 8, // sample size in bits\\n 2, // channels\\n true, // signed\\n false // bigendian\\n );\\n\\n int maxVol = 127;\\n for(int i=0; i<intFPW*wavelengths; i++){\\n double angle = ((float)(i*2)/((float)intFPW))*(Math.PI);\\n buf[i*2]=getByteValue(angle);\\n if(addHarmonic) {\\n buf[(i*2)+1]=getByteValue(2*angle);\\n } else {\\n buf[(i*2)+1] = buf[i*2];\\n }\\n }\\n\\n try {\\n byte[] b = buf;\\n AudioInputStream ais = new AudioInputStream(\\n new ByteArrayInputStream(b),\\n af,\\n buf.length/2 );\\n\\n clip.open( ais );\\n } catch(Exception e) {\\n e.printStackTrace();\\n }\\n }\",\n \"void calcWave() {\\n yoff += 0.01f;\\n \\n //For every x value, calculate a y value based on sine or cosine\\n float x = yoff; //**OPTION #1****/\\n //float x = 0.0f; //**OPTION #2****/\\n for (int i = 0; i < yvalues.length; i++) {\\n float n = 2*noise(x)-1.0f; //**OPTION #1****/ //scale noise to be between 1 and -1\\n //float n = 2*noise(x,yoff)-1.0f; //**OPTION #2****/ //scale noise to be between 1 and -1\\n yvalues[i] = n*amplitude;\\n x+=dx;\\n }\\n }\",\n \"public double movingAverage(int periods, int t)\\n {\\n if(periods>t + 1 || periods<1)\\n throw new IndexOutOfBoundsException(\\\"MA(\\\" + periods + \\\") is undefined at time \\\" + t);\\n double sum = 0.0;\\n for(int i = t - periods + 1; i<=t; i++)\\n sum += x[i];\\n return sum/periods;\\n }\",\n \"double getSignalPeriod();\",\n \"public static double trace(Matrix amat){\\r\\n \\tdouble trac = 0.0D;\\r\\n \\tfor(int i=0; i<Math.min(amat.ncol,amat.ncol); i++){\\r\\n \\ttrac += amat.matrix[i][i];\\r\\n \\t}\\r\\n \\treturn trac;\\r\\n \\t}\",\n \"static double calculateAngle(Line2D line, ArrowEnd end) {\\n \\t\\t// Translate the line to 0,0\\n \\t\\tdouble x1 = line.getX1();\\n \\t\\tdouble y1 = line.getY1();\\n \\t\\tdouble x2 = line.getX2();\\n \\t\\tdouble y2 = line.getY2();\\n \\t\\tdouble opposite = y2-y1;\\n \\t\\tdouble adjacent = x2-x1;\\n \\n \\t\\tdouble radians = Math.atan(opposite/adjacent);\\n \\n \\t\\tif (adjacent < 0) radians += Math.PI;\\n \\n \\t\\t// TODO: Flip for other end\\n \\t\\treturn radians;\\n \\t}\",\n \"public double getAverageAcceleration() {\\n return (leftEnc.getAcceleration() + rightEnc.getAcceleration()) / 2;\\n }\",\n \"public double averageSteps() {\\n if (day==0) return 0;\\n return (double) totalSteps / day;}\",\n \"public void fluctuateLine(Random randomGenerator) {\\n if (this.online == true) {\\n if (randomGenerator.nextInt(100) > this.stability) {\\n inputFluctuator.fluctuateFrequency();\\n }\\n if (randomGenerator.nextInt(100) > this.stability) {\\n inputFluctuator.fluctuateAmplitude();\\n }\\n if (randomGenerator.nextInt(100) > this.stability) {\\n inputFluctuator.fluctuatePhase();\\n }\\n updateOscilloscopeData();\\n } \\n }\",\n \"private double[] calculateLineEquation(Point p1, Point p2) {\\n double m = ((double) p2.y - p1.y) / (p2.x - p1.x);\\n double c = p1.y - (m * p1.x);\\n return new double[]{m, c};\\n }\",\n \"public void cal_FineFuelMoisture(){\\r\\n\\tdouble DIF=dry-wet;\\r\\n\\tfor (int i=1;i<=3; i++){\\r\\n\\tif ((DIF-C[i])<=0){ \\r\\n\\t\\t\\r\\n\\t\\tFFM=B[i]*Math.exp(A[i]*DIF);\\r\\n\\t}\\r\\n\\t}\\r\\n}\",\n \"protected void framing(double inputSignal[]){\\n double numFrames = (double)inputSignal.length / (double)(frameLength - shiftInterval);\\n \\n // unconditionally round up\\n if ((numFrames / (int)numFrames) != 1){\\n numFrames = (int)numFrames + 1;\\n }\\n \\n // use zero padding to fill up frames with not enough samples\\n double paddedSignal[] = new double[(int)numFrames * frameLength];\\n for (int n = 0; n < inputSignal.length; n++){\\n paddedSignal[n] = inputSignal[n];\\n }\\n\\n frames = new double[(int)numFrames][frameLength];\\n\\n // break down speech signal into frames with specified shift interval to create overlap\\n for (int m = 0; m < numFrames; m++){\\n for (int n = 0; n < frameLength; n++){\\n frames[m][n] = paddedSignal[m * (frameLength - shiftInterval) + n];\\n }\\n }\\n }\",\n \"void oscEvent(OscMessage msg) throws IOException{\\n\\r\\n\\t\\tObject[] arguments = msg.arguments();\\t\\t\\r\\n\\t\\t\\r\\n\\t\\tTimestamp timeStamp = new Timestamp(System.currentTimeMillis());\\r\\n\\t\\t\\r\\n\\t\\t//Muse EEG headband sends a lot of signals but we are only interested in Alpha, Beta, Gamma, Delta and Theta\\r\\n\\t\\t//For more information, visit: http://developer.choosemuse.com/tools/available-data\\r\\n\\r\\n\\t\\t\\r\\n\\t\\t//Checking if the signal is Alpha\\r\\n\\t\\t\\r\\n\\t\\tif(msg.checkAddrPattern(\\\"/muse/elements/alpha_absolute\\\")==true) {\\r\\n\\t\\t\\r\\n\\t\\t\\tSystem.out.print(\\\"\\\\n\\\"+timeStamp+\\\",\\\");\\r\\n\\t\\t\\t\\r\\n\\t\\t\\targuments = msg.arguments();\\r\\n\\t\\t\\tSystem.out.println(\\\"float\\\"+msg.get(0).floatValue()+\\\", int:\\\"+msg.get(0).intValue()+\\\",string:\\\"+msg.get(0).toString()+\\\",long:\\\"+msg.get(0).longValue()+\\\",double\\\"+msg.get(0).doubleValue());\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t//printing it out into the .csv file in a way that the average is calculated and written\\r\\n\\t\\t\\r\\n\\t\\t\\tSystem.out.print(\\\"=(\\\"+arguments[0]+\\\"+ \\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[1]+\\\"+\\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[2]+\\\"+\\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[3]+\\\")/4,\\\");\\r\\n\\t\\t}\\t\\r\\n\\t\\r\\n\\t\\t\\r\\n\\t\\t//Check for Beta signal\\r\\n\\t\\tif(msg.checkAddrPattern(\\\"/muse/elements/beta_absolute\\\")==true) {\\r\\n\\t\\t\\t\\r\\n\\t\\t\\targuments = msg.arguments();\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tSystem.out.print(\\\"=(\\\"+arguments[0]+\\\"+ \\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[1]+\\\"+\\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[2]+\\\"+\\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[3]+\\\")/4,\\\");\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t//check for Delta signal\\t\\r\\n\\t\\tif(msg.checkAddrPattern(\\\"/muse/elements/delta_absolute\\\")==true) {\\r\\n\\t\\t\\t\\r\\n\\t\\t\\targuments = msg.arguments();\\r\\n\\t\\t\\r\\n\\t\\t\\tSystem.out.print(\\\"=(\\\"+arguments[0]+\\\"+ \\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[1]+\\\"+\\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[2]+\\\"+\\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[3]+\\\")/4,\\\");\\r\\n\\t\\t}\\r\\n\\t\\r\\n\\t\\t//check for Gamma signal\\t\\r\\n\\t\\tif(msg.checkAddrPattern(\\\"/muse/elements/gamma_absolute\\\")==true) {\\r\\n\\t\\t\\t\\r\\n\\t\\t\\targuments = msg.arguments();\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tSystem.out.print(\\\"=(\\\"+arguments[0]+\\\"+ \\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[1]+\\\"+\\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[2]+\\\"+\\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[3]+\\\")/4,\\\");\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t//Check for Theta signal\\r\\n\\t\\tif(msg.checkAddrPattern(\\\"/muse/elements/theta_absolute\\\")==true) {\\r\\n\\t\\t\\t\\r\\n\\t\\t\\targuments = msg.arguments();\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tSystem.out.print(\\\"=(\\\"+arguments[0]+\\\"+ \\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[1]+\\\"+\\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[2]+\\\"+\\\");\\r\\n\\t\\t\\tSystem.out.print(arguments[3]+\\\")/4,\\\");\\r\\n\\t\\t}\\t\\r\\n\\t\\t\\r\\n\\t}\",\n \"public void detect_lines(float[] image,long width, long height, Lines contours, MutableLong num_result, double sigma, double low, double high, long mode, boolean compute_width, boolean correct_pos,boolean extend_lines, Junctions junctions)\\r\\n\\t{\\r\\n\\t byte[] ismax;\\r\\n\\t float[] ev, n1, n2, p1, p2;\\r\\n\\t float[][] k = new float[5][(int) (width*height)];\\r\\n\\t \\r\\n\\t// for (i=0;i<5;i++)\\r\\n\\t// k[i] = xcalloc(width*height,sizeof(float));\\r\\n\\t Convol convol = new Convol();\\r\\n\\t convol.convolve_gauss(image,k[0],width,height,sigma,LinesUtil.DERIV_R);\\r\\n\\t convol.convolve_gauss(image,k[1],width,height,sigma,LinesUtil.DERIV_C);\\r\\n\\t convol.convolve_gauss(image,k[2],width,height,sigma,LinesUtil.DERIV_RR);\\r\\n\\t convol.convolve_gauss(image,k[3],width,height,sigma,LinesUtil.DERIV_RC);\\r\\n\\t \\r\\n\\t convol.convolve_gauss(image,k[4],width,height,sigma,LinesUtil.DERIV_CC);\\r\\n\\t\\r\\n\\t ismax = new byte[(int) (width*height)];\\r\\n\\t ev = new float[(int) (width*height)];\\r\\n\\t n1 = new float[(int) (width*height)];\\r\\n\\t n2 = new float[(int) (width*height)];\\r\\n\\t p1 = new float[(int) (width*height)];\\r\\n\\t p2 = new float[(int) (width*height)];\\r\\n\\t /*\\r\\n\\t * The C library function void *memset(void *str, int c, size_t n) \\r\\n\\t * copies the character c (an unsigned char) to the first n characters \\r\\n\\t * of the string pointed to by the argument str.\\r\\n\\t */\\r\\n\\t // memset(ismax,0,width*height*sizeof(*ismax));\\r\\n\\t // memset(ev,0,width*height*sizeof(*ev));\\r\\n\\t for(int j = 0; j < ismax.length; j++){\\r\\n\\t\\t ev[j] = 0;\\r\\n\\t\\t ismax[j] = 0;\\r\\n\\t }\\r\\n\\r\\n\\t compute_line_points(k,ismax,ev,n1,n2,p1,p2,width,height,low,high,mode);\\r\\n\\t \\r\\n\\t Link l = new Link();\\r\\n\\t l.compute_contours(ismax,ev,n1,n2,p1,p2,k[0],k[1],contours,num_result,sigma,\\r\\n\\t extend_lines,(int)mode,low,high,width,height,junctions);\\r\\n\\t Width w = new Width();\\r\\n\\t if (compute_width)\\r\\n\\t w.compute_line_width(k[0],k[1],width,height,sigma,mode,correct_pos,contours,\\r\\n\\t num_result);\\r\\n\\r\\n\\t}\",\n \"public void resetLine() {\\n reactorLine.setCurrentFrequency(reactorLine.getBaseFrequency());\\n reactorLine.setCurrentAmplitude(reactorLine.getBaseAmplitude());\\n reactorLine.setCurrentPhase(reactorLine.getBasePhase());\\n inputAdjuster.setCurrentFrequency(inputAdjuster.getBaseFrequency());\\n inputAdjuster.setCurrentAmplitude(inputAdjuster.getBaseAmplitude());\\n inputAdjuster.setCurrentPhase(inputAdjuster.getBasePhase());\\n this.updateOscilloscopeData();\\n }\",\n \"public float getDCA();\",\n \"public double calculateObservedDisagreement();\",\n \"public double getTraceLineShapeArcLength()\\n {\\n if (_dataLineArcLength > 0) return _dataLineArcLength;\\n Shape dataLineShape = ScatterTraceViewShapes.getLineShape(this, true);\\n double arcLength = dataLineShape.getArcLength();\\n return _dataLineArcLength = arcLength;\\n }\",\n \"public void recalculateDistanceFunction()\\r\\n {\\n findBoundaryGivenPhi();\\r\\n \\r\\n active.removeAllElements();\\r\\n\\tfor(int i=0; i<pixelsWide; i++)\\r\\n\\t\\tfor(int j=0; j<pixelsHigh; j++)\\r\\n\\t\\t\\t{\\r\\n if(!boundary.contains(new Int2d(i,j))) phi[i][j] = phiStart;\\r\\n //else System.out.println(\\\"Boundary point at i,j = \\\" + i + \\\", \\\" + j + \\\" with phi = \\\" + phi[i][j]);\\r\\n\\t\\t\\t}\\r\\n \\r\\n //System.out.println(\\\"Building Initial Band\\\");\\r\\n\\tbuildInitialBand(); \\r\\n \\r\\n //System.out.println(active.size());\\r\\n \\r\\n //System.out.println(\\\"Running Algorithm\\\");\\r\\n\\twhile(active.size()>0)\\r\\n\\t\\t{\\r\\n\\t\\trunAlgorithmStep();\\r\\n\\t\\t}\\r\\n\\t\\r\\n //System.out.println(\\\"Distance function calculated\\\");\\r\\n\\t//maxPhi = findMaxPhi();\\r\\n }\",\n \"public void decay() {\\r\\n\\t\\tprotons -= 2;\\r\\n\\t\\tneutrons -= 2;\\r\\n\\t}\",\n \"private void jBtnFuzzyActionPerformed(java.awt.event.ActionEvent evt) {\\n int rv = 0;\\n String relax = jRelaxTxt.getText();\\n rv = Integer.valueOf(relax);\\n String ideal = jIdealTxt.getText();\\n int normal = 0;\\n //System.out.println(rv);\\n \\n //read data using readExcel class\\n readExcel exData = new readExcel();\\n double[][] chartData = exData.readDataset(myFile);\\n \\n //Line Chart with Series --used to show simulation data\\n// DefaultCategoryDataset ds = new DefaultCategoryDataset();\\n// final String series1 = \\\"max\\\";\\n// final String series2 = \\\"foodCount\\\";\\n// final String series3 = \\\"min\\\";\\n// for(int i=0;i<chartData[0].length;i++){\\n// ds.addValue(chartData[0][i], series1, String.valueOf(i));\\n// ds.addValue(chartData[1][i], series2, String.valueOf(i));\\n// ds.addValue((chartData[0][i]-rv), series3, String.valueOf(i));\\n// }\\n// JFreeChart simchart = ChartFactory.createLineChart(\\\"Simulation Result\\\", \\\"Day\\\", \\\"Value\\\", ds, PlotOrientation.VERTICAL, true, true, false);\\n// simchart.setBackgroundPaint(Color.white);\\n// final CategoryPlot plot = (CategoryPlot) simchart.getPlot();\\n// plot.setBackgroundPaint(Color.lightGray);\\n// plot.setRangeGridlinePaint(Color.white);\\n// ChartFrame fr = new ChartFrame(\\\"Simulation Result\\\", simchart);\\n// fr.setVisible(true);\\n// fr.setSize(1000, 400);\\n \\n //fuzzy result\\n DefaultCategoryDataset dataset = new DefaultCategoryDataset();\\n double fx, Dx;\\n \\n String choice = jCBFuzzyType.getSelectedItem().toString();\\n if(choice == \\\"One Side\\\"){\\n for(int i=1;i<chartData[0].length;i++){\\n Dx = chartData[0][i]-chartData[1][i];\\n //Dx = chartData[1][i]-chartData[0][i];\\n if(Dx>rv)\\n fx=0;\\n else\\n fx=((rv+1)-Dx)/(rv+1);\\n dataset.setValue(fx, \\\"\\\", String.valueOf(i));\\n }\\n }\\n else{\\n normal = Integer.valueOf(ideal);\\n for(int i=1;i<chartData[0].length;i++){\\n Dx = chartData[1][i]-normal;\\n //Dx = chartData[1][i]-chartData[0][i];\\n if(Dx>rv || Dx< -rv)\\n fx=0;\\n else\\n fx=((rv+1)-abs(Dx))/(rv+1);\\n System.out.println(\\\"Hasil simulasi:\\\"+chartData[1][i]+\\\" & Dx:\\\"+Dx+\\\" & fx:\\\"+fx);\\n dataset.setValue(fx, \\\"\\\", String.valueOf(i));\\n }\\n }\\n \\n JFreeChart chart = ChartFactory.createLineChart(\\\"Fuzzy Requirement Satisfaction\\\", \\\"Day\\\", \\\"Fuzzy Satisfaction\\\", dataset, PlotOrientation.VERTICAL, false, true, false);\\n CategoryPlot p = chart.getCategoryPlot();\\n p.setRangeGridlinePaint(Color.DARK_GRAY);\\n ChartFrame frame = new ChartFrame(\\\"Fuzzy Representation\\\",chart);\\n frame.setVisible(true);\\n frame.setSize(1000,400);\\n\\n }\",\n \"void plotLineDelta(int argbA, boolean tScreenedA, int argbB,\\n boolean tScreenedB, int xA, int yA, int zA, int dxBA,\\n int dyBA, int dzBA, boolean clipped) {\\n x1t = xA;\\n x2t = xA + dxBA;\\n y1t = yA;\\n y2t = yA + dyBA;\\n z1t = zA;\\n z2t = zA + dzBA;\\n if (clipped)\\n switch (getTrimmedLine()) {\\n case VISIBILITY_OFFSCREEN:\\n return;\\n case VISIBILITY_UNCLIPPED:\\n clipped = false;\\n break;\\n }\\n plotLineClipped(argbA, tScreenedA, argbB, tScreenedB, xA, yA, zA, dxBA,\\n dyBA, dzBA, clipped, 0, 0);\\n }\",\n \"@Test\\n public void getSecurityPriceTechnicalsMacdTest() throws ApiException, NoSuchMethodException {\\n String identifier = null;\\n Integer fastPeriod = null;\\n Integer slowPeriod = null;\\n Integer signalPeriod = null;\\n String priceKey = null;\\n String startDate = null;\\n String endDate = null;\\n Integer pageSize = null;\\n String nextPage = null;\\n ApiResponseSecurityMovingAverageConvergenceDivergence response = api.getSecurityPriceTechnicalsMacd(identifier, fastPeriod, slowPeriod, signalPeriod, priceKey, startDate, endDate, pageSize, nextPage);\\n\\n // TODO: test validations\\n }\",\n \"public double lineSlope() {\\r\\n //The formula to calculate the gradient.\\r\\n double slope;\\r\\n double dy = this.start.getY() - this.end.getY();\\r\\n double dx = this.start.getX() - this.end.getX();\\r\\n // line is vertical\\r\\n if (dx == 0 && dy != 0) {\\r\\n slope = Double.POSITIVE_INFINITY;\\r\\n return slope;\\r\\n }\\r\\n // line is horizontal\\r\\n if (dy == 0 && dx != 0) {\\r\\n slope = 0;\\r\\n return slope;\\r\\n }\\r\\n slope = dy / dx;\\r\\n return slope;\\r\\n }\",\n \"private float[] dynamicAccDiff(float[] acc, float[] gyr,float[] gravity, float[] oldAcc, float[] oldGyr)\\n {\\n float[] dynAccDiff = new float[]{0.0f, 0.0f, 0.0f};\\n float[] accDiff = accDiff(oldAcc, acc);\\n float[] gyrDiff = gyrDiff(oldGyr, gyr);\\n float[] graDiff = graDiff(gravity, gyrDiff);\\n\\n for (int i = 0; i < 3; i++)\\n {\\n dynAccDiff[i] = accDiff[i]-graDiff[i];\\n }\\n\\n return dynAccDiff;\\n\\n }\",\n \"private void computeHazardCurve() {\\n\\n //flag to initialise if Deterministic Model Calc have been completed\\n deterministicCalcDone=false;\\n\\n //checks how many SA Periods has been completed\\n this.numSA_PeriodValDone =0;\\n\\n //flag to check whether Hazard Curve Calc are done\\n hazCalcDone = false;\\n\\n //gets the Label for the Y-axis for the earlier grph\\n String oldY_AxisLabel=\\\"\\\";\\n if(totalProbFuncs.getYAxisName() !=null)\\n oldY_AxisLabel = totalProbFuncs.getYAxisName();\\n\\n // get the selected IMR\\n AttenuationRelationship imr = (AttenuationRelationship)imrGuiBean.getSelectedIMR_Instance();\\n\\n // make a site object to pass to IMR\\n Site site = siteGuiBean.getSite();\\n\\n // intialize the hazard function\\n ArbitrarilyDiscretizedFunc hazFunction = new ArbitrarilyDiscretizedFunc();\\n ArbitrarilyDiscretizedFunc tempHazFunction = new ArbitrarilyDiscretizedFunc();\\n\\n //what selection does the user have made, IML@Prob or Prob@IML\\n String imlOrProb=imlProbGuiBean.getSelectedOption();\\n //gets the IML or Prob value filled in by the user\\n double imlProbValue=imlProbGuiBean.getIML_Prob();\\n boolean imlAtProb = false, probAtIML = false;\\n if(imlOrProb.equalsIgnoreCase(imlProbGuiBean.IML_AT_PROB)){\\n //if the old Y axis Label not equal to the IML then clear plot and draw the chart again\\n if(!this.IML.equalsIgnoreCase(oldY_AxisLabel))\\n this.clearPlot(true);\\n totalProbFuncs.setYAxisName(this.IML);\\n imlAtProb=true;\\n }\\n else{\\n //if the old Y axis Label not equal to the Prob then clear plot and draw the chart again\\n if(!this.PROB_AT_EXCEED.equalsIgnoreCase(oldY_AxisLabel))\\n this.clearPlot(true);\\n totalProbFuncs.setYAxisName(this.PROB_AT_EXCEED);\\n probAtIML=true;\\n }\\n\\n //If the user has chosen the Probabilistic\\n if(((String)probDeterSelection.getSelectedItem()).equalsIgnoreCase(this.PROBABILISTIC)){\\n this.isEqkList = false;\\n // whwther to show progress bar in case of update forecast\\n erfGuiBean.showProgressBar(this.progressCheckBox.isSelected());\\n // get the selected forecast model\\n EqkRupForecastBaseAPI eqkRupForecast = null;\\n try{\\n //gets the instance of the selected ERF\\n eqkRupForecast = erfGuiBean.getSelectedERF();\\n }catch(Exception e){\\n e.printStackTrace();\\n }\\n if(this.progressCheckBox.isSelected()) {\\n progressClass = new CalcProgressBar(\\\"Hazard-Curve Calc Status\\\", \\\"Beginning Calculation \\\");\\n progressClass.displayProgressBar();\\n timer.start();\\n }\\n\\n // check whether this forecast is a Forecast List\\n // if this is forecast list , handle it differently\\n boolean isEqkForecastList = false;\\n if(eqkRupForecast instanceof ERF_EpistemicList) {\\n handleForecastList(site, imr, eqkRupForecast,imlProbValue,imlAtProb,probAtIML);\\n this.hazCalcDone = true;\\n return;\\n }\\n\\n // this is not a eqk list\\n this.isEqkList = false;\\n\\n try{\\n // set the value for the distance from the distance control panel\\n if(distanceControlPanel!=null) calc.setMaxSourceDistance(distanceControlPanel.getDistance());\\n }catch(RemoteException e){\\n e.printStackTrace();\\n }\\n // initialize the values in condProbfunc with log values as passed in hazFunction\\n initX_Values(tempHazFunction,imlProbValue,imlAtProb,probAtIML);\\n\\n try {\\n //iterating over all the SA Periods for the IMR's\\n for(int i=0;i< numSA_PeriodVals;++i){\\n double saPeriodVal = ((Double)this.saPeriodVector.get(i)).doubleValue();\\n imr.getParameter(this.SA_PERIOD).setValue(this.saPeriodVector.get(i));\\n try{\\n // calculate the hazard curve for each SA Period\\n calc.getHazardCurve(tempHazFunction, site, imr, (EqkRupForecast)eqkRupForecast);\\n }catch(RemoteException e){\\n e.printStackTrace();\\n }\\n //number of SA Periods for which we have ran the Hazard Curve\\n this.numSA_PeriodValDone =i;\\n hazFunction.setInfo(\\\"\\\\n\\\"+getCurveParametersInfo()+\\\"\\\\n\\\");\\n double val = getHazFuncIML_ProbValues(tempHazFunction,imlProbValue,imlAtProb,probAtIML);\\n hazFunction.set(saPeriodVal,val);\\n }\\n }catch (RuntimeException e) {\\n JOptionPane.showMessageDialog(this, e.getMessage(),\\n \\\"Parameters Invalid\\\", JOptionPane.INFORMATION_MESSAGE);\\n return;\\n }\\n }\\n else{ //If the Deterministic has been chosen by the user\\n imr.setSite(site);\\n try{\\n imr.setEqkRupture(this.erfRupSelectorGuiBean.getRupture());\\n }catch (Exception ex) {\\n timer.stop();\\n JOptionPane.showMessageDialog(this, \\\"Rupture not allowed for the chosen IMR: \\\"+ex.getMessage());\\n this.repaint();\\n this.validate();\\n return;\\n }\\n\\n if(this.progressCheckBox.isSelected()) {\\n progressClass = new CalcProgressBar(\\\"Hazard-Curve Calc Status\\\", \\\"Beginning Calculation \\\");\\n progressClass.displayProgressBar();\\n timer.start();\\n }\\n\\n //if the user has selectde the Prob@IML\\n if(probAtIML)\\n //iterating over all the SA Periods for the IMR's\\n for(int i=0;i< this.numSA_PeriodVals;++i){\\n double saPeriodVal = ((Double)this.saPeriodVector.get(i)).doubleValue();\\n imr.getParameter(this.SA_PERIOD).setValue(this.saPeriodVector.get(i));\\n double imlLogVal = Math.log(imlProbValue);\\n //double val = 0.4343*Math.log(imr.getExceedProbability(imlLogVal));\\n double val = imr.getExceedProbability(imlLogVal);\\n //adding values to the hazard function\\n hazFunction.set(saPeriodVal,val);\\n //number of SA Periods for which we have ran the Hazard Curve\\n this.numSA_PeriodValDone =i;\\n }\\n else //if the user has selected IML@prob\\n //iterating over all the SA Periods for the IMR\\n for(int i=0;i<this.numSA_PeriodVals;++i){\\n double saPeriodVal = ((Double)(saPeriodVector.get(i))).doubleValue();\\n imr.getParameter(this.SA_PERIOD).setValue(this.saPeriodVector.get(i));\\n imr.getParameter(imr.EXCEED_PROB_NAME).setValue(new Double(imlProbValue));\\n //double val = 0.4343*imr.getIML_AtExceedProb();\\n //adding values to the Hazard Function\\n double val = Math.exp(imr.getIML_AtExceedProb());\\n hazFunction.set(saPeriodVal,val);\\n //number of SA Periods for which we have ran the Hazard Curve\\n this.numSA_PeriodValDone =i;\\n }\\n this.deterministicCalcDone = true;\\n }\\n\\n // add the function to the function list\\n totalProbFuncs.add(hazFunction);\\n //checks whether the Hazard Curve Calculation are complete\\n hazCalcDone = true;\\n // set the X-axis label\\n totalProbFuncs.setXAxisName(X_AXIS_LABEL);\\n\\n }\",\n \"private void drawTimeLineForLine(Graphics2D g2d, RenderContext myrc, Line2D line, \\n Composite full, Composite trans,\\n int tl_x0, int tl_x1, int tl_w, int tl_y0, int tl_h, \\n long ts0, long ts1) {\\n g2d.setComposite(full); \\n\\t// Parametric formula for line\\n double dx = line.getX2() - line.getX1(), dy = line.getY2() - line.getY1();\\n\\tdouble len = Utils.length(dx,dy);\\n\\tif (len < 0.001) len = 0.001; dx = dx/len; dy = dy/len; double pdx = dy, pdy = -dx;\\n\\tif (pdy < 0.0) { pdy = -pdy; pdx = -pdx; } // Always point down\\n double gather_x = line.getX1() + dx*len/2 + pdx*40, gather_y = line.getY1() + dy*len/2 + pdy*40;\\n\\n\\t// Find the bundles, for this with timestamps, construct the timeline\\n\\tSet<Bundle> set = myrc.line_to_bundles.get(line);\\n\\tIterator<Bundle> itb = set.iterator(); double x_sum = 0.0; int x_samples = 0;\\n while (itb.hasNext()) {\\n\\t Bundle bundle = itb.next();\\n\\t if (bundle.hasTime()) { x_sum += (int) (tl_x0 + (tl_w*(bundle.ts0() - ts0))/(ts1 - ts0)); x_samples++; }\\n }\\n\\tif (x_samples == 0) return;\\n\\tdouble x_avg = x_sum/x_samples;\\n ColorScale timing_marks_cs = RTColorManager.getTemporalColorScale();\\n itb = set.iterator();\\n\\twhile (itb.hasNext()) { \\n\\t Bundle bundle = itb.next();\\n\\n\\t if (bundle.hasTime()) {\\n double ratio = ((double) (bundle.ts0() - ts0))/((double) (ts1 - ts0));\\n\\t g2d.setColor(timing_marks_cs.at((float) ratio));\\n\\n\\t int xa = (int) (tl_x0 + (tl_w*(bundle.ts0() - ts0))/(ts1 - ts0));\\n // g2d.setComposite(full); \\n g2d.draw(line);\\n\\t if (bundle.hasDuration()) {\\n int xb = (int) (tl_x0 + (tl_w*(bundle.ts1() - ts0))/(ts1 - ts0)); \\n double r = (tl_h-2)/2;\\n g2d.fill(new Ellipse2D.Double(xa-r,tl_y0-tl_h/2-r,2*r,2*r));\\n g2d.fill(new Ellipse2D.Double(xb-r,tl_y0-tl_h/2-r,2*r,2*r));\\n if (xa != xb) g2d.fill(new Rectangle2D.Double(xa, tl_y0-tl_h/2-r, xb-xa, 2*r));\\n\\t if (xa != xb) { g2d.drawLine(xa,tl_y0-tl_h,xb,tl_y0); g2d.drawLine(xa,tl_y0, xb,tl_y0); }\\n\\t }\\n\\t g2d.drawLine(xa,tl_y0-tl_h,xa,tl_y0); // Make it slightly higher at the start\\n double x0 = line.getX1() + dx * len * 0.1 + dx * len * 0.8 * ratio,\\n\\t y0 = line.getY1() + dy * len * 0.1 + dy * len * 0.8 * ratio;\\n\\t g2d.draw(new CubicCurve2D.Double(x0, y0, \\n x0 + pdx*10, y0 + pdy*10,\\n gather_x - pdx*10, gather_y - pdy*10,\\n gather_x, gather_y));\\n g2d.draw(new CubicCurve2D.Double(gather_x, gather_y, \\n\\t gather_x + pdx*40, gather_y + pdy*40,\\n\\t\\t\\t\\t\\t x_avg, tl_y0 - 10*tl_h, \\n\\t x_avg, tl_y0 - 8*tl_h));\\n g2d.draw(new CubicCurve2D.Double(x_avg, tl_y0 - 8*tl_h,\\n (x_avg+xa)/2, tl_y0 - 6*tl_h,\\n xa, tl_y0 - 2*tl_h,\\n xa, tl_y0 - tl_h/2));\\n }\\n\\t}\\n }\",\n \"public void updateChart() {\\n\\t\\tdouble val_min = Double.MAX_VALUE;\\n\\t\\tdouble val_max = -Double.MAX_VALUE;\\n\\t\\tVector<CurveData> cdV = new Vector<CurveData>();\\n\\n\\t\\tint maxMarkLength = 1;\\n\\t\\tint nClmns = barColumns.size();\\n\\t\\tint nMaxLines = 0;\\n\\t\\tfor ( final BarColumn bc : barColumns ) {\\n\\t\\t\\tif (bc.show()) {\\n\\t\\t\\t\\tfor (int j = 0; j < bc.size(); j++) {\\n\\t\\t\\t\\t\\tif (val_min > bc.value(j)) {\\n\\t\\t\\t\\t\\t\\tval_min = bc.value(j);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tif (val_max < bc.value(j)) {\\n\\t\\t\\t\\t\\t\\tval_max = bc.value(j);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tif (nMaxLines < bc.size()) {\\n\\t\\t\\t\\tnMaxLines = bc.size();\\n\\t\\t\\t}\\n\\t\\t\\tif (maxMarkLength < bc.marker().length()) {\\n\\t\\t\\t\\tmaxMarkLength = bc.marker().length();\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tString tmp_str = \\\"\\\";\\n\\t\\tfor (int i = 0; i < maxMarkLength; i++) {\\n\\t\\t\\ttmp_str = tmp_str + \\\" \\\";\\n\\t\\t}\\n\\t\\temptyStr = tmp_str;\\n\\n\\t\\t//System.out.println(\\\"debug =========== val_min=\\\" + val_min + \\\" val_max=\\\" + val_max);\\n\\n\\t\\tif (val_min * val_max > 0.) {\\n\\t\\t\\tif (val_min > 0.) {\\n\\t\\t\\t\\tval_min = 0.;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tval_max = 0.;\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tint iMin = GP.getScreenX(GP.getCurrentMinX());\\n\\t\\tint iMax = GP.getScreenX(GP.getCurrentMaxX());\\n\\t\\t//System.out.println(\\\"debug iMin=\\\" + iMin + \\\" iMax=\\\" + iMax);\\n\\t\\twidth = (int) ((iMax - iMin) / (1.9 * nMaxLines * nClmns));\\n\\t\\t//System.out.println(\\\"debug width=\\\" + width);\\n\\t\\tif (width < 1) {\\n\\t\\t\\twidth = 1;\\n\\t\\t}\\n\\n\\t\\t//make line from\\n\\t\\tCurveData cd = cvV.get(0);\\n\\t\\tif (nClmns > 0) {\\n\\t\\t\\tcd.clear();\\n\\t\\t\\tcd.addPoint(0., 0.);\\n\\t\\t\\tcd.addPoint(1.0 * (nClmns + 1), 0.);\\n\\t\\t\\tcd.setColor(Color.black);\\n\\t\\t\\tcd.setLineWidth(1);\\n\\t\\t\\tcd.findMinMax();\\n\\t\\t\\tcdV.add(cd);\\n\\t\\t}\\n\\n\\t\\tint cvCount = 1;\\n\\t\\tfor (int i = 1; i <= nClmns; i++) {\\n\\t\\t\\tBarColumn bc = barColumns.get(i - 1);\\n\\t\\t\\tif (bc.show()) {\\n\\t\\t\\t\\tdouble d_min = i - 0.35;\\n\\t\\t\\t\\tdouble d_max = i + 0.35;\\n\\t\\t\\t\\tint nL = bc.size();\\n\\t\\t\\t\\tdouble st = (d_max - d_min) / nL;\\n\\t\\t\\t\\tfor (int j = 0; j < nL; j++) {\\n\\t\\t\\t\\t\\tif (bc.show(j)) {\\n\\t\\t\\t\\t\\t\\tif(cvCount < cvV.size()){\\n\\t\\t\\t\\t\\t\\t\\tcd = cvV.get(cvCount);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\telse{\\n\\t\\t\\t\\t\\t\\t\\tcd = new CurveData();\\n\\t\\t\\t\\t\\t\\t\\tcvV.add(cd);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\tcd.clear();\\n\\t\\t\\t\\t\\t\\tcd.addPoint(d_min + (j + 0.5) * st, 0.);\\n\\t\\t\\t\\t\\t\\tcd.addPoint(d_min + (j + 0.5) * st, bc.value(j));\\n\\t\\t\\t\\t\\t\\tcd.setLineWidth(width);\\n\\t\\t\\t\\t\\t\\tif (bc.getColor(j) == null) {\\n\\t\\t\\t\\t\\t\\t\\tcd.setColor(bcColor.getColor(j));\\n\\t\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\t\\tcd.setColor(bc.getColor(j));\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\tcd.findMinMax();\\n\\t\\t\\t\\t\\t\\tcdV.add(cd);\\n\\t\\t\\t\\t\\t\\tcvCount++;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t//System.out.println(\\\"debug ===========start plotting=============== nClmns= \\\" + nClmns);\\n\\t\\tif (val_min < val_max) {\\n\\t\\t\\tformatter.makeAnalysis(val_min, val_max);\\n\\t\\t\\tGP.setNumberFormatY(formatter.getFormat());\\n\\t\\t\\tGP.setLimitsAndTicksY(formatter.getMin(), formatter.getMax(), formatter.getStep());\\n\\t\\t}\\n\\n\\t\\tif (barColumns.size() >= 10) {\\n\\t\\t\\tGP.getCurrentGL().setXminOn(false);\\n\\t\\t\\tGP.getCurrentGL().setXmaxOn(false);\\n\\t\\t}\\n\\n\\t\\tif (cdV.size() > 0) {\\n\\t\\t\\tGP.setCurveData(cdV);\\n\\t\\t} else {\\n\\t\\t\\tGP.removeAllCurveData();\\n\\t\\t}\\n\\t}\",\n \"double getAxon();\",\n \"void format05(String line, int lineCount) {\\n\\n float spldepDifference = 0f;\\n\\n // is this the first record in the file?\\n checkFirstRecord(code, lineCount);\\n\\n String tmpStationId = \\\"\\\";\\n String tmpSubdes = \\\"\\\";\\n float tmpSpldep = -9999f;\\n\\n // get the data off the line\\n java.util.StringTokenizer t = new java.util.StringTokenizer(line, \\\" \\\");\\n String dummy = t.nextToken(); // get 'rid' of the code\\n\\n int subCode = 0;\\n if (dataType == WATERWOD) {\\n if (t.hasMoreTokens()) subCode = toInteger(t.nextToken());\\n switch (subCode) {\\n case 1: if (t.hasMoreTokens()) t.nextToken(); //watProfQC.setStationId(toString(t.nextToken()));\\n if (t.hasMoreTokens()) //set profile temperature quality flag\\n watProfQC.setTemperature((toInteger(t.nextToken())));\\n if (t.hasMoreTokens()) //set profile salinity quality flag\\n watProfQC.setSalinity((toInteger(t.nextToken())));\\n if (t.hasMoreTokens()) //set profile disoxygen quality flag\\n watProfQC.setDisoxygen((toInteger(t.nextToken())));\\n break;\\n\\n } // switch (subCode)\\n } // if (dataType = WATERWOD)\\n if (dbg) System.out.println(\\\"format05: subCode = \\\" + subCode);\\n\\n if (dataType == CURRENTS) {\\n\\n //01 a2 format code always \\\"05\\\" n/a\\n //02 a12 stnid station id: composed as for format 03 currents\\n //03 f7.2 sample depth in m currents\\n //04 i3 current dir in deg TN currents\\n //05 f5.2 current speed in m/s currents\\n\\n if (t.hasMoreTokens()) currents.setStationId(toString(t.nextToken()));\\n if (t.hasMoreTokens()) currents.setSpldep(toFloat(t.nextToken(), 1f));\\n if (t.hasMoreTokens()) currents.setCurrentDir(toInteger(t.nextToken()));\\n if (t.hasMoreTokens()) currents.setCurrentSpeed(toFloat(t.nextToken(), 1f));\\n\\n tmpStationId = currents.getStationId(\\\"\\\");\\n tmpSubdes = currents.getSubdes(\\\"\\\");\\n tmpSpldep = currents.getSpldep();\\n\\n } else if (dataType == SEDIMENT) {\\n\\n // This is a new sub-station record - set flags for code 06 to 13\\n // to false\\n code06Count = 0;\\n code07Count = 0;\\n //code08Count = 0;\\n code09Count = 0;\\n //code10Count = 0;\\n code11Count = 0;\\n code12Count = 0;\\n code13Count = 0;\\n\\n //01 a2 format code always “05\\\" n/a\\n //02 a12 stnid station id: composed as for format 03 sedphy\\n //03 f7.2 sample depth in m sedphy\\n //04 f6.3 cod mg O2 / litre sedphy\\n //05 f8.4 dwf sedphy\\n //06 i5 meanpz µns sedphy\\n //07 i5 medipz µns sedphy\\n //08 f8.3 kurt sedphy\\n //09 f8.3 skew sedphy\\n\\n if (t.hasMoreTokens()) sedphy.setStationId(toString(t.nextToken()));\\n if (t.hasMoreTokens()) sedphy.setSpldep(toFloat(t.nextToken(), 1f));\\n if (t.hasMoreTokens()) sedphy.setCod(toFloat(t.nextToken(), 1f));\\n if (t.hasMoreTokens()) sedphy.setDwf(toFloat(t.nextToken(), 1f));\\n if (t.hasMoreTokens()) sedphy.setMeanpz(toInteger(t.nextToken()));\\n if (t.hasMoreTokens()) sedphy.setMedipz(toInteger(t.nextToken()));\\n if (t.hasMoreTokens()) sedphy.setKurt(toFloat(t.nextToken(), 1f));\\n if (t.hasMoreTokens()) sedphy.setSkew(toFloat(t.nextToken(), 1f));\\n\\n tmpStationId = sedphy.getStationId(\\\"\\\");\\n tmpSubdes = sedphy.getSubdes(\\\"\\\");\\n tmpSpldep = sedphy.getSpldep();\\n if (dbg) System.out.println(\\\"<br>format05: subdes = \\\" + subdes +\\n \\\", sedphy.getSubdes() = \\\" + sedphy.getSubdes(\\\"\\\"));\\n if (dbg) System.out.println(\\\"<br>format05: tmpSpldep = \\\" + tmpSpldep);\\n\\n } else if ((dataType == WATER) || (dataType == WATERWOD)) {\\n\\n // This is a new sub-station record - set flags for code 06 to 13\\n // to false\\n code06Count = 0;\\n code07Count = 0;\\n code08Count = 0;\\n code09Count = 0;\\n code10Count = 0;\\n code11Count = 0;\\n code12Count = 0;\\n code13Count = 0;\\n\\n // subCode = 1 - ignore\\n // subCode = 0 (WATER) or subCode = 2 (WATERWOD)\\n if (subCode != 1) {\\n //01 a2 format code always \\\"05\\\" n/a\\n //02 a12 stnid station id: composed as for format 03 watphy\\n //03 f7.2 sample depth in m watphy\\n //04 f5.2 temperature in deg C watphy\\n //05 f6.3 salinity in parts per thousand (?) watphy\\n //06 f5.2 dis oxygen in ml / litre watphy\\n\\n if (t.hasMoreTokens()) watphy.setStationId(toString(t.nextToken()));\\n if (t.hasMoreTokens()) watphy.setSpldep(toFloat(t.nextToken(), 1f));\\n if ((dataType == WATERWOD) && (t.hasMoreTokens())) // set spldep quality flag\\n watQC.setSpldep((toInteger(t.nextToken())));\\n\\n if (t.hasMoreTokens()) watphy.setTemperature(toFloat(t.nextToken(), 1f));\\n if ((dataType == WATERWOD) && (t.hasMoreTokens())) // set temperature quality flag\\n watQC.setTemperature((toInteger(t.nextToken())));\\n\\n if (t.hasMoreTokens()) watphy.setSalinity(toFloat(t.nextToken(), 1f));\\n if ((dataType == WATERWOD) && (t.hasMoreTokens())) // set salinity quality flag\\n watQC.setSalinity((toInteger(t.nextToken())));\\n\\n if (t.hasMoreTokens()) watphy.setDisoxygen(toFloat(t.nextToken(), 1f));\\n if ((dataType == WATERWOD) && (t.hasMoreTokens())) // set disoxygen quality flag\\n watQC.setDisoxygen((toInteger(t.nextToken())));\\n\\n if (t.hasMoreTokens()) watphy.setTurbidity(toFloat(t.nextToken(), 1f));\\n if (t.hasMoreTokens()) watphy.setPressure(toFloat(t.nextToken(), 1f)); // ub09\\n if (t.hasMoreTokens()) watphy.setFluorescence(toFloat(t.nextToken(), 1f)); // ub09\\n\\n if (watphy.getSpldep() == Tables.FLOATNULL) { // ub11\\n if ((watphy.getPressure() != Tables.FLOATNULL) && // ub11\\n (station.getLatitude() != Tables.FLOATNULL)) { // ub11\\n watphy.setSpldep( // ub11\\n calcDepth(watphy.getPressure(), // ub11\\n station.getLatitude())); // ub11\\n } // if ((watphy.getPressure() != Tables.FLOATNULL) && .// ub11\\n } // if (watphy.getSpldep() == Tables.FLOATNULL) // ub11\\n\\n tmpStationId = watphy.getStationId(\\\"\\\");\\n tmpSubdes = watphy.getSubdes(\\\"\\\");\\n tmpSpldep = watphy.getSpldep();\\n if (dbg) System.out.println(\\\"<br>format05: subdes = \\\" + subdes +\\n \\\", watphy.getSubdes() = \\\" + watphy.getSubdes(\\\"\\\"));\\n } // if (subCode != 1)\\n\\n } // if (dataType == CURRENTS)\\n\\n // subCode = 1 - ignore\\n // subCode = 0 (WATER/CURRENTS/SEDIMENT) or subCode = 2 (WATERWOD)\\n if (subCode != 1) {\\n // station Id must match that of previous station record\\n checkStationId(lineCount, tmpStationId);\\n\\n // samples must be at least 0.5 metre deeper than the previous.\\n // If this is not the case, reject the sample.\\n // Only valid for CTD-type data, not for XBT or currents\\n if (\\\"CTD\\\".equals(tmpSubdes)) {\\n if (\\\"U\\\".equals(upIndicator)) {\\n spldepDifference = prevDepth - tmpSpldep;\\n } else {\\n spldepDifference = tmpSpldep - prevDepth;\\n } // if (\\\"U\\\".equals(upIndicator))\\n } else {\\n spldepDifference = 1f;\\n } // if (\\\"CTD\\\".equals(tmpSubdes))\\n\\n if ((spldepDifference < 0.5f) && (tmpSpldep != 0f) &&\\n (prevDepth != 0f)) {\\n rejectDepth = true;\\n stationSampleRejectCount++;\\n sampleRejectCount++;\\n\\n if ((dataType == WATER) || (dataType == WATERWOD)) {\\n watchem1 = new MrnWatchem1();\\n watchem1 = new MrnWatchem1();\\n watchl = new MrnWatchl();\\n watnut = new MrnWatnut();\\n watpol1 = new MrnWatpol1();\\n watpol2 = new MrnWatpol2();\\n } // if ((dataType == WATER) || (dataType == WATERWOD))\\n if (dataType == WATERWOD) {\\n watQC = new MrnWatqc();\\n } // if (dataType == WATERWOD)\\n } else {\\n rejectDepth = false;\\n prevDepth = tmpSpldep;\\n\\n // update the minimum and maximum depth\\n if (tmpSpldep < depthMin) {\\n depthMin = tmpSpldep;\\n } // if (tmpSpldep < depthMin)\\n if (tmpSpldep > depthMax) {\\n depthMax = tmpSpldep;\\n } // if (tmpSpldep < depthMin)\\n\\n } // if ((spldepDifference < 0.5f) &&\\n\\n // update the counters\\n sampleCount++;\\n stationSampleCount++;\\n\\n if (dbg) System.out.println(\\\"<br>format05: depthMax = \\\" + depthMax);\\n // keep the maximum depth for the station\\n station.setMaxSpldep(depthMax);\\n //if (dbg) System.out.println(\\\"format05: station = \\\" + station);\\n if (dbg) {\\n if (dataType == CURRENTS) {\\n System.out.println(\\\"<br>format05: currents = \\\" + currents);\\n } else if (dataType == SEDIMENT) {\\n System.out.println(\\\"<br>format05: sedphy = \\\" + sedphy);\\n } else if (dataType == WATER) {\\n System.out.println(\\\"<br>format05: watphy = \\\" + watphy);\\n } else if (dataType == WATERWOD) {\\n System.out.println(\\\"format05: watProfQC = \\\" + watProfQC);\\n System.out.println(\\\"format05: watQC = \\\" + watQC);\\n System.out.println(\\\"format05: watphy = \\\" + watphy);\\n } // if (dataType == CURRENTS)\\n } // if (dbg)\\n\\n } // if (subCode != 1)\\n\\n }\",\n \"public void decay()\\n\\t{\\n\\t\\tprotons -= 2;\\n\\t\\tneutrons -= 2;\\n\\t}\",\n \"private double kToEv(double value) {\\n\\t\\treturn Converter.convertWaveVectorToEnergy(value, edgeEnergy);\\n\\t}\",\n \"public KochLine getLineA(){\\n\\t\\tKochLine lineA= new KochLine(p1,p2);\\n\\t\\treturn lineA;\\n\\t\\t\\n\\t}\",\n \"static void SKP_Silk_MA(short[] in, /* I: input signal */\\n\\t\\tint in_offset, short[] B, /* I: MA coefficients, Q13 [order+1] */\\n\\t\\tint[] S, /* I/O: state vector [order] */\\n\\t\\tshort[] out, /* O: output signal */\\n\\t\\tint out_offset, final int len, /* I: signal length */\\n\\t\\tfinal int order /* I: filter order */\\n\\t)\\n\\t{\\n\\t\\tint k, d, in16;\\n\\t\\tint out32;\\n\\n\\t\\tfor (k = 0; k < len; k++) {\\n\\t\\t\\tin16 = in[in_offset + k];\\n\\t\\t\\tout32 = SKP_SMLABB(S[0], in16, B[0]);\\n\\t\\t\\tout32 = SigProcFIX.SKP_RSHIFT_ROUND(out32, 13);\\n\\n\\t\\t\\tfor (d = 1; d < order; d++) {\\n\\t\\t\\t\\tS[d - 1] = SKP_SMLABB(S[d], in16, B[d]);\\n\\t\\t\\t}\\n\\t\\t\\tS[order - 1] = SKP_SMULBB(in16, B[order]);\\n\\n\\t\\t\\t/* Limit */\\n\\t\\t\\tout[out_offset + k] = (short) SigProcFIX.SKP_SAT16(out32);\\n\\t\\t}\\n\\t}\",\n \"static void CALC_FCSLOT(OPL_CH CH, OPL_SLOT SLOT) {\\n int ksr;\\n\\n /* frequency step counter */\\n /*RECHECK*/\\n SLOT.Incr = ((CH.fc * SLOT.mul) & 0xFFFFFFFFL);\\n ksr = CH.kcode >> SLOT.KSR;\\n\\n if (SLOT.ksr != (ksr & 0xFF)) {\\n /*RECHECK*/\\n SLOT.ksr = ksr & 0xFF;\\n /* attack , decay rate recalcration */\\n SLOT.evsa = SLOT.AR.read(ksr);\\n SLOT.evsd = SLOT.DR.read(ksr);\\n SLOT.evsr = SLOT.RR.read(ksr);\\n }\\n SLOT.TLL = (int) (SLOT.TL + (CH.ksl_base >> SLOT.ksl));\\n }\",\n \"@Override\\n\\tpublic void update(int timeStep)\\n\\t{\\n\\t\\tthis.checkForNewAppliancesAndUpdateConstants();\\n\\n\\t\\tdouble[] ownersCostSignal = this.owner.getPredictedCostSignal();\\n\\t\\tthis.dayPredictedCostSignal = Arrays.copyOfRange(ownersCostSignal, timeStep % ownersCostSignal.length, timeStep\\n\\t\\t\\t\\t% ownersCostSignal.length + this.ticksPerDay);\\n\\n\\t\\tif (this.mainContext.logger.isTraceEnabled())\\n\\t\\t{\\n\\t\\t\\tthis.mainContext.logger.trace(\\\"update\\\");\\n\\t\\t}\\n\\n\\t\\tif (this.mainContext.logger.isTraceEnabled())\\n\\t\\t{\\n\\t\\t\\tthis.mainContext.logger.trace(\\\"dayPredictedCostSignal: \\\" + Arrays.toString(this.dayPredictedCostSignal));\\n\\t\\t}\\n\\n\\t\\tthis.dayPredictedCostSignal = ArrayUtils\\n\\t\\t\\t\\t.offset(ArrayUtils.multiply(this.dayPredictedCostSignal, this.predictedCostToRealCostA), this.realCostOffsetb);\\n\\n\\t\\tif (this.mainContext.logger.isTraceEnabled())\\n\\t\\t{\\n\\t\\t\\tthis.mainContext.logger.trace(\\\"afterOffset dayPredictedCostSignal: \\\" + Arrays.toString(this.dayPredictedCostSignal));\\n\\t\\t}\\n\\n\\t\\tif (this.owner.isHasElectricalSpaceHeat())\\n\\t\\t{\\n\\t\\t\\tthis.setPointProfile = Arrays.copyOf(this.owner.getSetPointProfile(), this.owner.getSetPointProfile().length);\\n\\t\\t\\tthis.optimisedSetPointProfile = Arrays.copyOf(this.setPointProfile, this.setPointProfile.length);\\n\\t\\t\\tthis.currentTempProfile = Arrays.copyOf(this.setPointProfile, this.setPointProfile.length);\\n\\t\\t\\tthis.heatPumpDemandProfile = this.calculateEstimatedSpaceHeatPumpDemand(this.setPointProfile);\\n\\t\\t\\t// (20/01/12) Check if sum of <heatPumpDemandProfile> is consistent\\n\\t\\t\\t// at end day\\n\\t\\t\\tif (this.mainContext.logger.isTraceEnabled())\\n\\t\\t\\t{\\n\\t\\t\\t\\tthis.mainContext.logger\\n\\t\\t\\t\\t\\t\\t.trace(\\\"Sum(Wattbox estimated heatPumpDemandProfile): \\\" + ArrayUtils.sum(this.heatPumpDemandProfile));\\n\\t\\t\\t}\\nif (\\t\\t\\tthis.mainContext.logger.isTraceEnabled()) {\\n\\t\\t\\tthis.mainContext.logger.trace(\\\"Sum(Wattbox estimated heatPumpDemandProfile): \\\"\\n\\t\\t\\t\\t\\t+ ArrayUtils.sum(this.calculateEstimatedSpaceHeatPumpDemand(this.optimisedSetPointProfile)));\\n}\\n\\t\\t}\\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\tthis.heatPumpDemandProfile = Arrays.copyOf(this.noElecHeatingDemand, this.noElecHeatingDemand.length);\\n\\t\\t}\\n\\n\\t\\tif (this.owner.isHasElectricalWaterHeat())\\n\\t\\t{\\n\\t\\t\\tthis.hotWaterVolumeDemandProfile = Arrays.copyOfRange(this.owner.getBaselineHotWaterVolumeProfile(), (timeStep % this.owner\\n\\t\\t\\t\\t\\t.getBaselineHotWaterVolumeProfile().length), (timeStep % this.owner.getBaselineHotWaterVolumeProfile().length)\\n\\t\\t\\t\\t\\t+ this.ticksPerDay);\\n\\t\\t\\tthis.waterHeatDemandProfile = ArrayUtils.multiply(this.hotWaterVolumeDemandProfile, Consts.WATER_SPECIFIC_HEAT_CAPACITY\\n\\t\\t\\t\\t\\t/ Consts.KWH_TO_JOULE_CONVERSION_FACTOR\\n\\t\\t\\t\\t\\t* (this.owner.waterSetPoint - ArrayUtils.min(Consts.MONTHLY_MAINS_WATER_TEMP) / Consts.DOMESTIC_HEAT_PUMP_WATER_COP));\\n\\t\\t}\\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\tthis.waterHeatDemandProfile = Arrays.copyOf(this.noElecHeatingDemand, this.noElecHeatingDemand.length);\\n\\t\\t}\\n\\n\\t\\tif (this.coldAppliancesControlled && this.owner.isHasColdAppliances())\\n\\t\\t{\\n\\t\\t\\tthis.optimiseColdProfile(timeStep);\\n\\t\\t}\\n\\n\\t\\tif (this.wetAppliancesControlled && this.owner.isHasWetAppliances())\\n\\t\\t{\\n\\t\\t\\tthis.optimiseWetProfile(timeStep);\\n\\t\\t}\\n\\n\\t\\t// Note - optimise space heating first. This is so that we can look for\\n\\t\\t// absolute\\n\\t\\t// heat pump limit and add the cost of using immersion heater (COP 0.9)\\n\\t\\t// to top\\n\\t\\t// up water heating if the heat pump is too great\\n\\t\\tif (this.spaceHeatingControlled && this.owner.isHasElectricalSpaceHeat())\\n\\t\\t{\\n\\t\\t\\tif (this.owner.hasStorageHeater)\\n\\t\\t\\t{\\n\\t\\t\\t\\tthis.optimiseStorageChargeProfile();\\n\\t\\t\\t\\tif (this.mainContext.logger.isTraceEnabled())\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tthis.mainContext.logger.trace(\\\"Optimised storage heater profile = \\\" + Arrays.toString(this.heatPumpOnOffProfile));\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\telse\\n\\t\\t\\t{\\n\\t\\t\\tthis.optimiseSetPointProfile();\\n\\t\\t\\tif (this.mainContext.logger.isTraceEnabled())\\n\\t\\t\\t{\\n\\t\\t\\t\\tthis.mainContext.logger.trace(\\\"Optimised set point profile = \\\" + Arrays.toString(this.heatPumpOnOffProfile));\\n\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (this.waterHeatingControlled && this.owner.isHasElectricalWaterHeat())\\n\\t\\t{\\n\\t\\t\\tthis.optimiseWaterHeatProfileWithSpreading();\\n\\t\\t}\\n\\n\\t\\tif (this.eVehicleControlled && this.owner.isHasElectricVehicle())\\n\\t\\t{\\n\\t\\t\\tthis.optimiseEVProfile();\\n\\t\\t}\\n\\n\\t\\t// At the end of the step, set the temperature profile for today's\\n\\t\\t// (which will be yesterday's when it is used)\\n\\t\\tthis.priorDayExternalTempProfile = this.owner.getContext().getAirTemperature(timeStep, this.ticksPerDay);\\n\\t}\",\n \"protected double ABT() {\\r\\n\\t\\tDouble output = Double.MAX_VALUE;\\r\\n\\t\\tIterator<Double> bws = this.flowBandwidth.values().iterator();\\r\\n\\t\\twhile (bws.hasNext()) {\\r\\n\\t\\t\\tdouble temp = bws.next();\\r\\n\\t\\t\\tif (temp < output) {\\r\\n\\t\\t\\t\\toutput = temp;\\r\\n\\t\\t\\t\\t// System.out.println(\\\"[GeneralSimulator.ABT]: \\\" + output);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t// System.out.println(\\\"[GeneralSimulator.ABT]: succfulCount \\\"\\r\\n\\t\\t// + this.successfulCount);\\r\\n\\t\\treturn output * this.successfulCount;\\r\\n\\t}\",\n \"public float findFrequency(ArrayList<Float> wave){\\n\\r\\n ArrayList<Float> newWave = new ArrayList<>();\\r\\n\\r\\n for(int i=0;i<wave.size()-4;i++){\\r\\n newWave.add((wave.get(i)+wave.get(i+1)+wave.get(i+2)+wave.get(i+4))/4f);\\r\\n }\\r\\n\\r\\n\\r\\n boolean isBelow = wave1.get(0)<triggerVoltage;\\r\\n\\r\\n ArrayList<Integer> triggerSamples = new ArrayList<>();\\r\\n\\r\\n\\r\\n System.out.println(\\\"starting f calc\\\");\\r\\n\\r\\n for(int i=1;i<newWave.size();i++){\\r\\n if(isBelow){\\r\\n if(newWave.get(i)>triggerVoltage){\\r\\n triggerSamples.add(i);\\r\\n isBelow=false;\\r\\n }\\r\\n }else{\\r\\n if(newWave.get(i)<triggerVoltage){\\r\\n triggerSamples.add(i);\\r\\n isBelow=true;\\r\\n }\\r\\n }\\r\\n }\\r\\n System.out.println(\\\"F len in \\\"+triggerSamples.size());\\r\\n\\r\\n ArrayList<Float> freqValues = new ArrayList<>();\\r\\n\\r\\n\\r\\n for(int i=0;i<triggerSamples.size()-2;i++){\\r\\n freqValues.add(1/(Math.abs(SecondsPerSample*(triggerSamples.get(i)-triggerSamples.get(i+2)))));\\r\\n }\\r\\n\\r\\n float finalAVG =0;\\r\\n for (Float f : freqValues) {\\r\\n finalAVG+=f;\\r\\n }\\r\\n finalAVG/=freqValues.size();\\r\\n\\r\\n\\r\\n return finalAVG;\\r\\n //System.out.println(finalAVG);\\r\\n }\",\n \"private static double fds_h(Vec v) { return 2*ASTMad.mad(new Frame(v), null, 1.4826)*Math.pow(v.length(),-1./3.); }\",\n \"private float averageBeat(){\\n float avgBeat = 0f;\\n List<Float> beatRed = DataManager.getInstance().getBeatRed();\\n List<Float> beatIR = DataManager.getInstance().getBeatIR();\\n\\n for(int i = 0; i < beatRed.size() && i < beatIR.size(); i ++ ){\\n chartFragment.addRedData(beatRed.get(i));\\n chartFragment.addIRData(beatIR.get(i));\\n avgBeat += beatRed.get(i);\\n avgBeat += beatIR.get(i);\\n }\\n avgBeat = avgBeat / (beatRed.size() + beatIR.size());\\n\\n if (tcpTask != null )\\n this.tcpTask.addData(\\\"\\\" + avgBeat);\\n beatLabel.setText(\\\"Beat : \\\" + avgBeat);\\n return avgBeat;\\n }\",\n \"public void start() {\\n enable = true;\\n audioRecord.startRecording();\\n Thread monitorThread = new Thread(new Runnable() {\\n public void run() {\\n char lastDtmf = ' ';\\n do {\\n audioRecord.read(recordBuffer, 0, BUFFER_SIZE, AudioRecord.READ_BLOCKING);\\n im = zero.clone(); //memset, I hope?\\n System.arraycopy(recordBuffer, 0, re, 0, BUFFER_SIZE); //memset, I presume\\n fft.fft(re, im);\\n int f1 = 0, f2 = 0;\\n char dtmf = ' ';\\n for (int i = 0; i < BUFFER_SIZE/2; i++) {\\n if ((Math.abs(im[i]) > 10)) {\\n if ((i > 258) && (i < 261))\\n f1 = 697;\\n if ((i > 285) && (i < 289))\\n f1 = 770;\\n if ((i > 315) && (i < 318))\\n f1 = 852;\\n if ((i > 349) && (i < 352))\\n f1 = 941;\\n if ((i > 446) && (i < 451))\\n f2 = 1209;\\n if ((i > 493) && (i < 505))\\n f2 = 1336;\\n if ((i > 544) && (i < 553))\\n f2 = 1477;\\n if ((i > 605) && (i < 608))\\n f2 = 1633;\\n }\\n }\\n if ((f1 == 697) && (f2 == 1209))\\n dtmf = '1';\\n if ((f1 == 697) && (f2 == 1336))\\n dtmf = '2';\\n if ((f1 == 697) && (f2 == 1477))\\n dtmf = '3';\\n if ((f1 == 697) && (f2 == 1633))\\n dtmf = 'A';\\n if ((f1 == 770) && (f2 == 1209))\\n dtmf = '4';\\n if ((f1 == 770) && (f2 == 1336))\\n dtmf = '5';\\n if ((f1 == 770) && (f2 == 1477))\\n dtmf = '6';\\n if ((f1 == 770) && (f2 == 1633))\\n dtmf = 'B';\\n if ((f1 == 852) && (f2 == 1209))\\n dtmf = '7';\\n if ((f1 == 852) && (f2 == 1336))\\n dtmf = '8';\\n if ((f1 == 852) && (f2 == 1477))\\n dtmf = '9';\\n if ((f1 == 852) && (f2 == 1633))\\n dtmf = 'C';\\n if ((f1 == 941) && (f2 == 1209))\\n dtmf = '*';\\n if ((f1 == 941) && (f2 == 1336))\\n dtmf = '0';\\n if ((f1 == 941) && (f2 == 1477))\\n dtmf = '#';\\n if ((f1 == 941) && (f2 == 1633))\\n dtmf = 'D';\\n\\n if (dtmf == ' ') {\\n lastDtmf = ' ';\\n } else {\\n if (listener != null)\\n if (dtmf != lastDtmf) {\\n lastDtmf = dtmf;\\n listener.receivedDTMF(dtmf);\\n }\\n }\\n } while (enable);\\n audioRecord.stop();\\n }\\n });\\n monitorThread.start();\\n }\",\n \"static double triangleWave(double timeInSeconds, double frequency) {\\r\\n\\t\\treturn 0;\\r\\n\\t}\",\n \"public double getMeanTimeBetweenCarArrivals() {\\n return meanTimeBetweenCarArrivals;\\n }\",\n \"private List< PlotData > valueOfDesireAlongLine( final Line line, final int which_one_my_master )\\n\\t{\\n\\t\\tfinal Img< UnsignedShortType > img = ImagePlusAdapter.wrap( imgPlus );\\n\\t\\tfinal Cursor< UnsignedShortType > cursor = img.cursor();\\n\\n\\t\\t// get 'line' as vector based at 0\\n\\t\\tfinal double vec_x = line.x2 - line.x1;\\n\\t\\tfinal double vec_y = line.y2 - line.y1;\\n\\t\\t// direction of 'line' as normalized vecter at 0\\n\\t\\tfinal Vector2D vec_line_direction = new Vector2D( vec_x, vec_y );\\n\\n\\t\\tfinal int frames = imgPlus.getDimensions()[ 4 ]; // 4 happens to be the\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// time-dimension...\\n\\t\\tfinal List< PlotData > summed_intensities = new ArrayList< PlotData >();\\n\\t\\tfinal List< PlotData > volume = new ArrayList< PlotData >();\\n\\t\\tfinal List< PlotData > concentrations = new ArrayList< PlotData >();\\n\\n\\t\\tfor ( int i = 0; i < frames; i++ )\\n\\t\\t{\\n\\t\\t\\tsummed_intensities.add( new PlotData( ( int ) Math.floor( line.getLength() ) ) );\\n\\t\\t\\tvolume.add( new PlotData( ( int ) Math.floor( line.getLength() ) ) );\\n\\t\\t\\tconcentrations.add( new PlotData( ( int ) Math.floor( line.getLength() ) ) );\\n\\t\\t}\\n\\n\\t\\tdouble pixel_value;\\n\\t\\tfinal double voxel_depth = this.imgPlus.getCalibration().getZ( 1.0 );\\n\\t\\twhile ( cursor.hasNext() )\\n\\t\\t{\\n\\t\\t\\tpixel_value = 0.0;\\n\\t\\t\\ttry\\n\\t\\t\\t{\\n\\t\\t\\t\\tpixel_value = cursor.next().get();\\n\\t\\t\\t}\\n\\t\\t\\tcatch ( final ClassCastException e )\\n\\t\\t\\t{\\n\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t\\tIJ.error( \\\"ClassCastException\\\", \\\"Please make source image 16bit!\\\" );\\n\\t\\t\\t}\\n\\t\\t\\tfinal double xpos = cursor.getIntPosition( 0 ) - line.x1;\\n\\t\\t\\tfinal double ypos = cursor.getIntPosition( 1 ) - line.y1;\\n\\t\\t\\t// final int zpos = cursor.getIntPosition( 2 );\\n\\t\\t\\tfinal int tpos = cursor.getIntPosition( 3 );\\n\\n\\t\\t\\t// vector to current pixel\\n\\t\\t\\tfinal Vector2D vec_pos = new Vector2D( xpos, ypos );\\n\\n\\t\\t\\t// compute projection onto line-ROI\\n\\t\\t\\tfinal Vector2D lineProjection = vec_line_direction.project( vec_pos );\\n\\t\\t\\tfinal double fractional_slice_num = lineProjection.getLength();\\n\\t\\t\\t// don't do anything in case voxel is below or above line\\n\\t\\t\\tif ( lineProjection.dot( vec_line_direction ) < 0 || fractional_slice_num > vec_line_direction.getLength() )\\n\\t\\t\\t{\\n\\t\\t\\t\\tcontinue;\\n\\t\\t\\t}\\n\\n\\t\\t\\t// add the shit\\n\\t\\t\\tif ( pixel_value > 0.0 )\\n\\t\\t\\t{\\n\\t\\t\\t\\tsummed_intensities.get( tpos ).addValueToXValue( fractional_slice_num, pixel_value );\\n\\t\\t\\t\\tvolume.get( tpos ).addValueToXValue( fractional_slice_num, voxel_depth );\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// compute concentrations (iterate over summed intensities and divide by\\n\\t\\t// volume)\\n\\t\\tfor ( int t = 0; t < summed_intensities.size(); t++ )\\n\\t\\t{\\n\\t\\t\\tfor ( int i = 0; i < summed_intensities.get( t ).getXData().length; i++ )\\n\\t\\t\\t{\\n\\t\\t\\t\\tdouble concentration = summed_intensities.get( t ).getYData()[ i ] / volume.get( t ).getYData()[ i ];\\n\\t\\t\\t\\tif ( Double.isNaN( concentration ) )\\n\\t\\t\\t\\t\\tconcentration = 0.0;\\n\\t\\t\\t\\tconcentrations.get( t ).addValueToXValue( summed_intensities.get( t ).getXData()[ i ], concentration );\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif ( which_one_my_master == WISH_CONCENTRATION )\\n\\t\\t{\\n\\t\\t\\treturn concentrations;\\n\\t\\t}\\n\\t\\telse if ( which_one_my_master == WISH_SUM_INTENSITIES )\\n\\t\\t{\\n\\t\\t\\treturn summed_intensities;\\n\\t\\t}\\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\treturn volume;\\n\\t\\t}\\n\\t}\",\n \"private double[] driveSpeed(double x1, double y1, double x2){\\n double[] output = new double[4];\\r\\n\\r\\n if(x1==1.00 && y1==0.00){\\r\\n output[0]=1.00;\\r\\n output[1]=0.00;\\r\\n output[2]=-1.00;\\r\\n output[3]=0.00;\\r\\n }else if(x1==-1.00 && y1==0.00){\\r\\n output[0]=-1.00;\\r\\n output[1]=0.00;\\r\\n output[2]=1.00;\\r\\n output[3]=0.00;\\r\\n }else if(y1==1.00 && x1==0.00){\\r\\n output[0]=0.00;\\r\\n output[1]=1.00;\\r\\n output[2]=0.00;\\r\\n output[3]=-1.00;\\r\\n }else if(y1==-1.00 && x1==0.00){\\r\\n output[0]=0.00;\\r\\n output[1]=-1.00;\\r\\n output[2]=0.00;\\r\\n output[3]=1.00;\\r\\n }else{\\r\\n //\\r\\n output[0]=0.00;\\r\\n output[1]=0.00;\\r\\n output[2]=0.00;\\r\\n output[3]=0.00;\\r\\n }\\r\\n\\r\\n return output;\\r\\n\\r\\n }\",\n \"public void setSignal(double signal) {_signal = signal;}\",\n \"protected final double fa(double x, double ac, double ae) {return ac*Math.pow(x, ae)/K;}\",\n \"private Line getMiddleTrajectory() {\\n Point startPoint;\\n if (movingRight()) {\\n startPoint = middleRight();\\n } else if (movingLeft()) {\\n startPoint = middleLeft();\\n } else {\\n return null;\\n }\\n\\n return new Line(startPoint, this.velocity);\\n }\",\n \"public void normalization(){\\n normalization = processControlBlock[0].getArrivalTime();\\n }\",\n \"private void getCal() {\\n \\t\\t\\n \\t\\tif(isnew) {\\n \\t\\t\\tString[] parts0, parts1, parts2, parts3, parts4, parts5, parts6;\\n \\t\\t\\t\\n \\t\\t\\tparts0 = asciiheader[9].split(\\\"\\\\t\\\");\\n \\t\\t\\tparts1 = asciiheader[10].split(\\\"\\\\t\\\");\\n \\t\\t\\tparts2 = asciiheader[11].split(\\\"\\\\t\\\");\\n \\t\\t\\tparts3 = asciiheader[12].split(\\\"\\\\t\\\");\\n \\t\\t\\tparts4 = asciiheader[13].split(\\\"\\\\t\\\");\\n \\t\\t\\tparts5 = asciiheader[14].split(\\\"\\\\t\\\");\\n \\t\\t\\tparts6 = asciiheader[15].split(\\\"\\\\t\\\");\\n \\t\\t\\t\\n \\t\\t\\tfor(int i = 0; i < 3; i++) {\\n \\t\\t\\t\\tRGBcal[i] = Float.parseFloat(parts0[i]);\\n \\t\\t\\t\\tvlam[i] = Float.parseFloat(parts1[i]);\\n \\t\\t\\t\\tvp[i] = Float.parseFloat(parts2[i]);\\n \\t\\t\\t\\tmel[i] = Float.parseFloat(parts3[i]);\\n \\t\\t\\t\\tvmac[i] = Float.parseFloat(parts4[i]);\\n \\t\\t\\t\\tsmac[i] = Float.parseFloat(parts5[i]);\\n \\t\\t\\t\\tCLAcal[i] = Float.parseFloat(parts6[i]);\\n \\t\\t\\t}\\n \\t\\t\\tCLAcal[3] = Float.parseFloat(parts6[3]);\\n \\t\\t\\treturn;\\n \\n \\t\\t}\\n \\t\\t\\n \\t\\tint temp = 0;\\n \\t\\tint j = 0;\\n \\t\\tString workingDirectory = new String(System.getProperty(\\\"user.dir\\\")+ \\\"\\\\\\\\src\\\\\\\\data\\\");\\n \\t\\t\\n \\t\\tString[] s = loadStrings(workingDirectory + \\\"\\\\\\\\Day12_Cal_Values.txt\\\");\\n \\t\\t\\n \\n \\t\\t//Scone/macula\\n \\t\\tfor(int i = 0; i < s[1].length(); i++) {\\n \\t\\t\\tif(s[1].charAt(i) == 9) {\\n \\t\\t\\t\\tif(temp != 0) {\\n \\t\\t\\t\\t\\t//smac[j] = float(s[1].substring(temp, i));\\n \\t\\t\\t\\t\\tsmac[j] = Float.parseFloat(s[1].substring(temp, i));\\n \\t\\t\\t\\t\\tj++;\\n \\t\\t\\t\\t}\\n \\t\\t\\t\\ttemp = i;\\n \\t\\t\\t}\\n \\t\\t}\\n \\t\\tsmac[j] = Float.parseFloat(s[1].substring(temp, s[1].length()));\\n \\t\\ttemp = 0;\\n \\t\\tj = 0;\\n \\n \\t\\t//Vlamda/macula\\n \\t\\tfor(int i = 0; i < s[2].length(); i++) {\\n \\t\\t\\tif(s[2].charAt(i) == 9) {\\n \\t\\t\\t\\tif(temp != 0) {\\n \\t\\t\\t\\t\\tvmac[j] = Float.parseFloat(s[2].substring(temp, i));\\n \\t\\t\\t\\t\\tj++;\\n \\t\\t\\t\\t}\\n \\t\\t\\t\\ttemp = i;\\n \\t\\t\\t}\\n \\t\\t}\\n \\t\\tvmac[j] = Float.parseFloat(s[2].substring(temp, s[2].length()));\\n \\t\\ttemp = 0;\\n \\t\\tj = 0;\\n \\n \\t\\t//Melanopsin\\n \\t\\tfor(int i = 0; i < s[3].length(); i++) {\\n \\t\\t\\tif(s[3].charAt(i) == 9) {\\n \\t\\t\\t\\tif(temp != 0) {\\n \\t\\t\\t\\t\\tmel[j] = Float.parseFloat(s[3].substring(temp, i));\\n \\t\\t\\t\\t\\tj++;\\n \\t\\t\\t\\t}\\n \\t\\t\\t\\ttemp = i;\\n \\t\\t\\t}\\n \\t}\\n \\t\\tmel[j] = Float.parseFloat(s[3].substring(temp, s[3].length()));\\n \\t\\ttemp = 0;\\n \\t\\tj = 0;\\n \\n \\t\\t//Vprime\\n \\t\\tfor(int i = 0; i < s[4].length(); i++) {\\n \\t\\t\\tif(s[4].charAt(i) == 9) {\\n \\t\\t\\t\\tif(temp != 0) {\\n \\t\\t\\t\\t\\tvp[j] = Float.parseFloat(s[4].substring(temp, i));\\n \\t\\t\\t\\t\\tj++;\\n \\t\\t\\t\\t}\\n \\t\\t\\t\\ttemp = i;\\n \\t\\t\\t}\\n \\t\\t}\\n \\t\\tvp[j] = Float.parseFloat(s[4].substring(temp, s[4].length()));\\n \\t\\ttemp = 0;\\n \\t\\tj = 0;\\n \\n \\t\\t//Vlamda\\n \\t\\tfor(int i = 0; i < s[5].length(); i++) {\\n \\t\\t\\tif(s[5].charAt(i) == 9) {\\n \\t\\t\\t\\tif(temp != 0) {\\n \\t\\t\\t\\t\\tvlam[j] = Float.parseFloat(s[5].substring(temp, i));\\n \\t\\t\\t\\t\\tj++;\\n \\t\\t\\t\\t}\\n \\t\\t\\t\\ttemp = i;\\n \\t\\t\\t}\\n \\t\\t}\\n \\t\\tvlam[j] = Float.parseFloat(s[5].substring(temp, s[5].length()));\\n \\t\\ttemp = 0;\\n \\t\\tj = 0;\\n \\n \\t\\t//CLA\\n \\t\\tfor(int i = 0; i < s[8].length(); i++) {\\n \\t\\t\\tif(s[8].charAt(i) == 9) {\\n \\t\\t\\t\\tif(temp != 0) {\\n \\t\\t\\t\\t\\tCLAcal[j] = Float.parseFloat(s[8].substring(temp, i));\\n \\t\\t\\t\\t\\tj++;\\n \\t\\t\\t\\t}\\n \\t\\t\\t\\ttemp = i;\\n \\t\\t\\t}\\n \\t\\t}\\n \\t\\tCLAcal[j] = Float.parseFloat(s[8].substring(temp, s[8].length()));\\n \\t\\ttemp = 0;\\n \\t\\tj = 0;\\n \\n \\t\\t//RGBcal\\n \\t\\ts = loadStrings(workingDirectory + \\\"\\\\\\\\Day12 RGB Values.txt\\\");\\n \\t\\tfor(int i = 0; i < s[ID].length(); i++) {\\n \\t\\t\\tif(s[ID].charAt(i) == 9) {\\n \\t\\t\\t\\tif(temp != 0) {\\n \\t\\t\\t\\t\\tRGBcal[j] = Float.parseFloat(s[ID].substring(temp, i));\\n \\t\\t\\t\\t\\tj++;\\n \\t}\\n \\t\\t\\t\\ttemp = i;\\n \\t\\t\\t}\\n \\t}\\n \\t\\tRGBcal[j] = Float.parseFloat(s[ID].substring(temp, s[ID].length()));\\n \\t\\ttemp = 0;\\n \\t\\tj = 0;\\n \\t}\",\n \"public void calculateMeanChordRatio(double cfcIn, double cfcOut) {\\n\\t\\tsetMeanChordRatio((cfcIn + cfcOut)/2);\\n\\t}\",\n \"public void average() {\\n\\t\\tif (averaged)\\n\\t\\t\\tthrow new AssertionError(\\\"can't average twice!!\\\");\\n\\t\\t\\n\\t\\tscale = 1.0/(double)t;\\n\\t\\t\\n\\t\\tfor (int i = 0; i < w.length; i++)\\n\\t\\t\\tw[i] = (t+1.0)*w[i] - wupdates[i];\\n\\t\\t\\n\\t\\taveraged = true;\\n\\t\\n\\t}\",\n \"@Override\\n public void runEffect(double[] fft) {\\n\\n\\n for(int i = fft.length - 1; i - pitchMove >= 0; i--)\\n {\\n fft[i] = fft[i - pitchMove];\\n }\\n for(int i = 0; i < pitchMove; i++)\\n fft[i] = fft[i]*0.5;\\n// for(int i = 0, k = 0; i < fft.length; i+=2)\\n// {\\n// if(i < fft.length/2) {\\n// fft2[fft.length / 2 + k - 1] = (fft[fft.length / 2 + i] + fft[fft.length / 2 + i]) / 2;\\n// fft2[fft.length / 2 - k - 1] = (fft[fft.length / 2 - i] + fft[fft.length / 2 - i]) / 2;\\n// }\\n// //fft2[k] = 0;\\n// //fft2[fft2.length - k -1] = 0;\\n// k++;\\n// }\\n /*for(int i = 0; i < fft.length; i++)\\n {\\n fft[i] = Math.abs(fft[i]);\\n if(fft[i] < 2){\\n fft[i] = 0;\\n }\\n //Log.d(\\\"Log\\\", fft[i] + \\\" \\\");\\n }*/\\n }\",\n \"protected static double[] preEmphasis(short inputSignal[]){\\n double outputSignal[] = new double[inputSignal.length];\\n \\n // apply pre-emphasis to each sample\\n for (int n = 1; n < inputSignal.length; n++){\\n outputSignal[n] = inputSignal[n] - preEmphasisAlpha * inputSignal[n - 1];\\n }\\n \\n return outputSignal;\\n }\",\n \"@Test\\n\\tpublic void averageWorksForModeSteps() {\\n\\t\\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\\n\\t\\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 10, 0)); // constant function = 10\\n\\t\\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\\n\\t\\tt1.addValues(TimeSeriesUtils.createStepFunction(5, 20, 25, 20, 0)); // constant function = 20\\n\\t\\tt0.setInterpolationMode(InterpolationMode.STEPS);\\n\\t\\tt1.setInterpolationMode(InterpolationMode.STEPS);\\n\\t\\tfinal ReadOnlyTimeSeries avg = MultiTimeSeriesUtils.getAverageTimeSeries(Arrays.<ReadOnlyTimeSeries> asList(t0, t1), 0, Long.MAX_VALUE, true, null, false);\\n\\t\\t// one data point outside time range, one boundary value should be added\\n\\t\\tAssert.assertEquals(\\\"Time series sum has wrong number of data points\\\", 13, avg.size());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 10, avg.getValue(7).getValue().getIntegerValue());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 15, avg.getValue(23).getValue().getIntegerValue());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 15, avg.getValue(100).getValue().getIntegerValue());\\n\\t}\",\n \"public void onAccVal (float ax, float ay, float az, long ts)\\r\\n\\t{\\r\\n\\t\\t++nAccVal;\\r\\n\\t\\t++last_nAccVal;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\tacc_val.accx = -ax;\\r\\n\\t\\tacc_val.accy = ay;\\r\\n\\t\\tacc_val.accz = az;\\r\\n\\t\\tacc_val.ms = ts;\\r\\n\\t\\t\\t\\r\\n\\t\\tacc_val.roll = (float)Math.atan2 (ax,az);\\r\\n\\t\\tacc_val.pitch = (float)Math.atan2 (ay,az);\\r\\n\\t\\t\\t\\r\\n\\t\\tacc_val.roll = (float)((acc_val.roll*180.0)/Math.PI);\\r\\n\\t\\tacc_val.pitch = (float)((acc_val.pitch*180.0)/Math.PI);\\r\\n\\t\\t\\r\\n\\t\\tif (true)\\r\\n\\t\\t{\\r\\n\\t\\t\\tdouble coeff = 1/9.81;\\r\\n\\t\\t\\tacc_val.accx=(float)(acc_val.accx*coeff);\\r\\n\\t\\t\\tacc_val.accy=(float)(acc_val.accy*coeff);\\r\\n\\t\\t\\tacc_val.accz=(float)(acc_val.accz*coeff);\\r\\n\\t\\t}\\r\\n\\t\\tif (ts-last_data_ts>(1000/3)*1000000)\\r\\n\\t\\t{\\r\\n\\t\\t\\tUI_RefreshSensorData ();\\r\\n\\t\\t\\tlast_data_ts=ts;\\r\\n\\t\\t}\\r\\n\\t\\tsynchronized (this)\\r\\n\\t\\t{\\r\\n\\t\\t\\tif (_bbCanSend && _bbStartSend) sendData (acc_val);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public double getAcuteAngle( final LineXY line ) {\\n\\t\\t// get the intersection point\\n\\t\\tfinal PointXY p1 = PointXY.getIntersectionPoint( this, line );\\n\\t\\tif( p1 == null ) {\\n\\t\\t\\tthrow new IllegalArgumentException( format( \\\"No intersection found\\\" ) );\\n\\t\\t}\\n\\t\\t\\n\\t\\t// get the points of both lines\\n\\t\\tfinal PointXY pa1 = this.getBeginPoint();\\n\\t\\tfinal PointXY pa2 = this.getEndPoint();\\n\\t\\tfinal PointXY pb1 = line.getBeginPoint();\\n\\t\\tfinal PointXY pb2 = line.getEndPoint();\\n\\t\\t\\n\\t\\tfinal PointXY p2 = PointXY.getFarthestPoint( p1, pa1, pa2 );\\n\\t\\tfinal PointXY p3 = PointXY.getFarthestPoint( p1, pb1, pb2 );\\n\\t\\t\\n\\t\\t// are both lines orthogonal?\\n\\t\\tif( this.isOrthogonal() && line.isOrthogonal() ) {\\n\\t\\t\\treturn this.isParallelTo( line ) ? 0 : Math.PI;\\n\\t\\t}\\n\\t\\t\\n\\t\\t// is the either line orthogonal?\\n\\t\\telse if( this.isOrthogonal() || line.isOrthogonal() ) {\\n\\t\\t\\t// cos t = ( -a^2 + b^2 - c^2 ) / 2cb \\n\\t\\t\\tfinal double a = getDistance( p1, p2 );\\n\\t\\t\\tfinal double b = getDistance( p1, p3 );\\n\\t\\t\\tfinal double c = getDistance( p2, p3 );;\\n\\t\\t\\treturn acos( ( -pow(a, 2d) + pow(b, 2d) - pow(c, 2d) ) / ( 2d * c * b ) );\\n\\t\\t}\\n\\t\\t\\n\\t\\t// both must be angular\\n\\t\\telse {\\n\\t\\t\\t// tan t = ( m1 - m2 ) / ( 1 + m1 * m2 ); where m2 > m1\\n\\t\\t\\tdouble m1 = this.getSlope();\\n\\t\\t\\tdouble m2 = line.getSlope();\\n\\t\\t\\tif( m1 > m2 ) {\\n\\t\\t\\t\\tfinal double mt = m1;\\n\\t\\t\\t\\tm1 = m2;\\n\\t\\t\\t\\tm2 = mt;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t// compute the angle\\n\\t\\t\\treturn atan( ( m1 - m2 ) / ( 1 + m1 * m2 ) );\\n\\t\\t}\\n\\t}\",\n \"public synchronized double measure(double value, long when) {\\n // compute difference to last time in (seconds)\\n double dt = (when - this.when) / 1000.0D;\\n if (dt < 0) {\\n // if the time is negative, we just skip computation (happens if NTP sets the clock back)\\n } else if (dt == 0) {\\n // if no time went by we have the special case where the average is just corrected\\n this.average = value * (1.0 - this.kappa) + this.average;\\n } else {\\n // a positive dt means reevalute fully\\t\\t\\t\\n this.kappa = Math.exp(dt * this.ln_phi);\\n this.average = value * (1.0 - this.kappa) + this.average * this.kappa;\\n this.when = when;\\n }\\n return average;\\n }\",\n \"private static String addCIExtremes(String theLine){\\n\\n\\t\\t//System.out.println(\\\"1: \\\" + theLine);\\n\\n\\t\\tString[] splitLine = theLine.split(\\\";\\\");\\n\\n\\t\\tif(splitLine.length <= 8){\\n\\n\\t\\t\\ttry{\\n\\t\\t\\t\\tdouble avg = Double.parseDouble(splitLine[6]);\\n\\t\\t\\t\\tdouble ci = Double.parseDouble(splitLine[7]);\\n\\n\\t\\t\\t\\ttheLine += ((avg-ci) + \\\";\\\" + (avg+ci) + \\\";\\\");\\n\\n\\t\\t\\t\\t//System.out.println(\\\"2: \\\" + theLine);\\n\\t\\t\\t}catch(NumberFormatException e){\\n\\t\\t\\t\\tSystem.out.println(\\\"Impossible to add CI extremes. Skipping.\\\");\\n\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t//System.out.println(\\\"3: \\\" + theLine);\\n\\n\\t\\treturn theLine;\\n\\n\\t}\",\n \"public void updateOscilloscopeData() {\\n rmsSum = 0;\\n boolean overshoot = false;\\n int reactorFrequency = getReactorFrequency().intValue();\\n int reactorAmplitude = getReactorAmplitude().intValue();\\n double reactorPhase = getReactorPhase().doubleValue();\\n int controlFrequency = getControlFrequency().intValue();\\n int controlAmplitude = getControlAmplitude().intValue();\\n double controlPhase = getControlPhase().doubleValue();\\n for (int i = 0; i < 40; i++) { \\n Double reactorValue = reactorAmplitude * Math.sin(2 * Math.PI * reactorFrequency * ((double) i * 5 / 10000) + reactorPhase);\\n Double controlValue = controlAmplitude * Math.sin(2 * Math.PI * controlFrequency * ((double) i * 5 / 10000) + controlPhase);\\n if (reactorValue + controlValue > 150) {\\n this.outputData.get(0).getData().get(i).setYValue(149);\\n overshoot = true;\\n } else if (reactorValue + controlValue < -150) {\\n this.outputData.get(0).getData().get(i).setYValue(-149);\\n overshoot = true;\\n } else {\\n this.outputData.get(0).getData().get(i).setYValue(reactorValue + controlValue);\\n }\\n if (this.online == true) {\\n this.rmsSum = this.rmsSum + Math.pow(reactorValue + controlValue, 2);\\n }\\n }\\n calculateOutputPower();\\n checkForInstability(overshoot);\\n }\",\n \"public Series removeDelayedTrend(int depth)\\n {\\n if(depth<1 || depth>=size)\\n throw new IndexOutOfBoundsException();\\n Series oscillator = new Series();\\n oscillator.x = new double[oscillator.size = size - depth];\\n if(oscillator.size>1)\\n oscillator.r = new double[oscillator.size - 1];\\n for(int t = 0; t<oscillator.size; t++)\\n {\\n oscillator.x[t] = x[t + depth] - movingAverage(depth, t + depth);\\n if(t>0)\\n oscillator.r[t - 1] = Math.log(oscillator.x[t]/oscillator.x[t - 1]);\\n }\\n return oscillator;\\n }\",\n \"protected static float[] computeMovingAverage(float[] values, int np) {\\n\\t\\tfloat[] mm = new float[values.length - np];\\n\\t\\tfor (int i = 0; i < mm.length; i++) {\\n\\t\\t\\tfloat sum = 0;\\n\\t\\t\\tfor (int j = 0; j < np; j++) {\\n\\t\\t\\t\\tsum = sum + values[i + j];\\n\\t\\t\\t}\\n\\t\\t\\tmm[i] = sum / np;\\n\\t\\t}\\n\\t\\treturn mm;\\n\\t}\",\n \"public Builder setAvgTreatment(double value) {\\n \\n avgTreatment_ = value;\\n onChanged();\\n return this;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6408273","0.5388387","0.50075793","0.48845273","0.47046033","0.469359","0.46626016","0.46207273","0.45988655","0.44616583","0.44593862","0.43690953","0.43485478","0.43134356","0.43045345","0.4300377","0.42951757","0.4273741","0.42725843","0.42520598","0.42383763","0.42378178","0.42131665","0.42059305","0.4198376","0.41867712","0.41748545","0.41736683","0.41656718","0.41606912","0.41501978","0.41314045","0.41157955","0.41148508","0.4088727","0.408294","0.40766007","0.40737614","0.40696794","0.40660024","0.40658614","0.40635192","0.40571484","0.40528107","0.4051517","0.4040501","0.40212354","0.40123957","0.4011412","0.4004237","0.4001573","0.40011597","0.4000336","0.3996876","0.39961952","0.39846635","0.39844662","0.3982661","0.3980403","0.39731818","0.39663568","0.3965337","0.39627996","0.39590663","0.39584598","0.3951746","0.39506558","0.39506334","0.39505523","0.3943651","0.39342067","0.39328304","0.3931511","0.39216194","0.39088914","0.39063573","0.3904588","0.39045385","0.38995573","0.38980123","0.38909248","0.3889123","0.38878012","0.38871798","0.38822865","0.38822195","0.38805035","0.38743788","0.387182","0.3867198","0.3857129","0.38520986","0.38509917","0.38507488","0.38472313","0.3845813","0.38440958","0.38428012","0.38427848","0.3841824"],"string":"[\n \"0.6408273\",\n \"0.5388387\",\n \"0.50075793\",\n \"0.48845273\",\n \"0.47046033\",\n \"0.469359\",\n \"0.46626016\",\n \"0.46207273\",\n \"0.45988655\",\n \"0.44616583\",\n \"0.44593862\",\n \"0.43690953\",\n \"0.43485478\",\n \"0.43134356\",\n \"0.43045345\",\n \"0.4300377\",\n \"0.42951757\",\n \"0.4273741\",\n \"0.42725843\",\n \"0.42520598\",\n \"0.42383763\",\n \"0.42378178\",\n \"0.42131665\",\n \"0.42059305\",\n \"0.4198376\",\n \"0.41867712\",\n \"0.41748545\",\n \"0.41736683\",\n \"0.41656718\",\n \"0.41606912\",\n \"0.41501978\",\n \"0.41314045\",\n \"0.41157955\",\n \"0.41148508\",\n \"0.4088727\",\n \"0.408294\",\n \"0.40766007\",\n \"0.40737614\",\n \"0.40696794\",\n \"0.40660024\",\n \"0.40658614\",\n \"0.40635192\",\n \"0.40571484\",\n \"0.40528107\",\n \"0.4051517\",\n \"0.4040501\",\n \"0.40212354\",\n \"0.40123957\",\n \"0.4011412\",\n \"0.4004237\",\n \"0.4001573\",\n \"0.40011597\",\n \"0.4000336\",\n \"0.3996876\",\n \"0.39961952\",\n \"0.39846635\",\n \"0.39844662\",\n \"0.3982661\",\n \"0.3980403\",\n \"0.39731818\",\n \"0.39663568\",\n \"0.3965337\",\n \"0.39627996\",\n \"0.39590663\",\n \"0.39584598\",\n \"0.3951746\",\n \"0.39506558\",\n \"0.39506334\",\n \"0.39505523\",\n \"0.3943651\",\n \"0.39342067\",\n \"0.39328304\",\n \"0.3931511\",\n \"0.39216194\",\n \"0.39088914\",\n \"0.39063573\",\n \"0.3904588\",\n \"0.39045385\",\n \"0.38995573\",\n \"0.38980123\",\n \"0.38909248\",\n \"0.3889123\",\n \"0.38878012\",\n \"0.38871798\",\n \"0.38822865\",\n \"0.38822195\",\n \"0.38805035\",\n \"0.38743788\",\n \"0.387182\",\n \"0.3867198\",\n \"0.3857129\",\n \"0.38520986\",\n \"0.38509917\",\n \"0.38507488\",\n \"0.38472313\",\n \"0.3845813\",\n \"0.38440958\",\n \"0.38428012\",\n \"0.38427848\",\n \"0.3841824\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6478376"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":19794,"cells":{"query":{"kind":"string","value":"Computes the momentum technical indicator."},"document":{"kind":"string","value":"public double momentum(int periods, int t)\n {\n if(periods>t || periods<1)\n throw new IndexOutOfBoundsException(\"Momentum(\" + periods + \") is undefined at time \" + t);\n return x[t] - x[t - periods];\n }"},"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":["public abstract double getCarbon();","double getAcceleration ();","public abstract float getMomentOfInertia();","@Override\n\tpublic double getCarbon() {\n\t\treturn 0;\n\t}","Measurement getAccumulation();","public Momentum() {\r\n m1 = m2 = v1 = v2 = p1 = p2 = comx = cv = 0.0;\r\n xp1 = 0.0;\r\n xp2 = 900.0;\r\n m1 = 2.0;\r\n m2 = 1.0;\r\n v1 = 1.0;\r\n v2 = -1.0;\r\n\r\n //m1 = m2 = 1.0;\r\n //v1 = 2.0;\r\n //v2 = -4.0;\r\n d = dc = 8.0;\r\n }","public Double getCarbon() {\n return product.getCarbon() * weight / 100;\n }","FloatResource temperatureCoefficient();","public double masse () {return this.volume()*this.element.masseVolumique();}","public abstract Double getMontant();","public abstract double getPreis();","public void calcInc(int np)\n\t{\n \n findSpecEq();\n int nofc=numberOfComponents;\n fvec.timesEquals(0.0);\n fvec.set(nofc+1,0,1.0);\n Matrix dxds=Jac.solve(fvec);\n if (np<5)\n {\n double dp=0.01;\n ds=dp/dxds.get(nofc+1,0);\n Xgij.setMatrix(0,nofc+1,np-1,np-1,u);\n dxds.timesEquals(ds);\n // dxds.print(0,10);\n u.plusEquals(dxds);\n // Xgij.print(0,10);\n// u.print(0,10);\n }\n else\n {\n //System.out.println(\"iter \" +iter + \" np \" + np);\n if (iter>6)\n { \n ds *= 0.5;\n System.out.println(\"ds > 6\");\n }\n \n else\n {\n if (iter<3) {\n ds *= 1.5;\n }\n if (iter==3) {\n ds *= 1.1;\n }\n if (iter==4) {\n ds *= 1.0;\n }\n if (iter>4) {\n ds *= 0.5;\n }\n \n// Now we check wheater this ds is greater than dTmax and dPmax.\n if(Math.abs(system.getTemperature()*dxds.get(nofc,0)*ds)>dTmax){\n // System.out.println(\"true T\");\n ds=sign(dTmax/system.getTemperature()/Math.abs(dxds.get(nofc,0)),ds);\n }\n \n if(Math.abs(system.getPressure()*dxds.get(nofc+1,0)*ds)>dPmax)\n {\n ds=sign(dPmax/system.getPressure()/Math.abs(dxds.get(nofc+1,0)),ds);\n // System.out.println(\"true P\");\n }\n if (etterCP2) {\n etterCP2=false;\n ds = 0.5*ds;\n }\n \n Xgij.setMatrix(0,nofc+1,0,2,Xgij.getMatrix(0,nofc+1,1,3)); \n Xgij.setMatrix(0,nofc+1,3,3,u);\n s.setMatrix(0,0,0,3,Xgij.getMatrix(speceq,speceq,0,3));\n // s.print(0,10);\n // System.out.println(\"ds1 : \" + ds);\n calcInc2(np);\n // System.out.println(\"ds2 : \" + ds);\n \n// Here we find the next point from the polynomial.\n \n }\n }\n }","private int[] calculateMomentum(byte state){\n //pull out each particle.\n\n //each particle has an x and y momentum based on its direction\n //1 x = 1, y = 0\n //2 x = cos(pi/3), y = sin(pi/3)\n //3 x = cos(2pi/3), y = sin(2pi/3)\n //4 x = -1, y = 0\n //5 x = cos(4pi/3), y = sin(4pi/3)\n //6 x = cos(5pi/3), y = sin(5pi/3)\n\n\n// double x = 0.0;\n// double y = 0.0;\n//\n// double arg = 0.0;\n// for(int n = 0; n < SMASKS.length; n++){\n// if((incomingState & SMASKS[n]) == SMASKS[n]){\n// arg = (n*Math.PI)/3;\n// x += BigDecimal.valueOf(Math.cos(arg)).setScale(5, BigDecimal.ROUND_DOWN).doubleValue();\n// y += BigDecimal.valueOf(Math.sin(arg)).setScale(5, BigDecimal.ROUND_DOWN).doubleValue();\n// }\n// }\n// return new double[]{x, y};\n\n //each particle has an x and y momentum based on its direction\n //1 x = 100, y = 0000\n //2 x = 050, y = 087\n //3 x = -050, y = 087\n //4 x = -100, y = 000\n //5 x = -050, y = -087\n //6 x = 050, y = -087\n\n int x = 0;\n int y = 0;\n\n for(int n = 0; n < SMASKS.length; n++){\n if((state & SMASKS[n]) == SMASKS[n]){\n x += xm[n];\n y += ym[n];\n }\n }\n return new int[]{x, y};\n }","private float horisontalTicker() {\n\t\t\t\treturn (ticker_horisontal += 0.8f);\n\t\t\t}","public double getVelocityRPM();","float getNominalVoltageOutOfPhase();","public float getDisp();","protected void calcVelocity()\n\t{}","Double getPreStress();","@Override\n public Float compute() {\n\treturn calc();\n }","public abstract double getMeasurement();","public abstract double getMeasurement();","public double getAtomicWeight() {\n }","public static double thermalCaloriesToElectronVolts(double num){ return (num*9.223*Math.exp(18)); }","public double get_thermal_reading() {\n\t\t\n\t\treturn 0;\n\t}","abstract public double compute(Composition comp, double e0);","@Override\n\tpublic double getMontant() {\n\t\treturn 0;\n\t}","public double ElectricCurrent() {\n return OCCwrapJavaJNI.Units_Dimensions_ElectricCurrent(swigCPtr, this);\n }","abstract double calculateCurrentDiscountRate();","public float getVolum() {\n return volum;\n }","float getSurfaceVolatility();","public abstract double calcVolume();","public abstract double calcVolume();","@Override\n public double getCONSUMPTION() {\n if (status && brightValue != 0) {\n this.consumption = (super.DEFAULTCONSUMPTION + 2) + (brightValue / 100);\n } else if (status) {\n this.consumption = super.DEFAULTCONSUMPTION + 2;\n } else if (status != true) {\n this.consumption = super.DEFAULTCONSUMPTION;\n }\n\n return consumption;\n }","protected abstract float getMeasurement();","@Override\n\tpublic void calcularVolume() {\n\t\t\n\t}","float getPreGain();","public double calculateVelocity(){\n double storyPoints = 0.0; // number of story points completed in total\n double numWeeks = BoardManager.get().getCurrentBoard().getAge()/7.0;\n LinkedList<Card> allCompletedCards = BoardManager.get().getCurrentBoard().getCardsOf(Role.COMPLETED_WORK);\n for (Card card : allCompletedCards) {\n storyPoints += card.getStoryPoints();\n }\n if (storyPoints == 0.0){\n return 0.0;\n }\n return Math.round(storyPoints/numWeeks * 100D) / 100D;\n }","public double getMon603r1() {\r\n\t\treturn mon603r1;\r\n\t}","public double getTemp(){\n return currentTemp;\n }","ObjectProperty<Double> criticalLowProperty();","int getExposureCompensationPref();","private void calcCalories()\n\t{\n\t\tif (getIntensity() == 1)\n\t\t{\n\t\t\tbikeCal = 10 * bikeTime; \n\t\t}\n\t\telse if (getIntensity() == 2)\n\t\t{\n\t\t\tbikeCal = 14.3 * bikeTime; \n\t\t}\n\t\telse {\n\t\t\tJOptionPane.showMessageDialog(null, \"error\");\n\t\t}\n\t}","public double getAcceleration() {\r\n return acceleration;\r\n }","double compute() {\r\ndouble b, e;\r\nb = (1 + rateOfRet/compPerYear);\r\ne = compPerYear * numYears;\r\nreturn principal * Math.pow(b, e);\r\n}","public double getResistance() \n {\n //dummy return value.\n return 0;\n }","private double calcuCMetric() {\n\t\treturn (p-1)/fcost;\n\t}","public double getObjective() {\n return multiClassClassifierObj() + binaryObj();\n// +(1-temperature)*getEntropy();\n }","public double getAcceleration() {\n return acceleration;\n }","ObjectProperty<Double> criticalHighProperty();","public void updateLorenzoIndicator(int indicator){\n\n }","public Double getConcentration();","Double getTensionForce();","@Override\n public double getMeasure() {\n return getFuelEffieciency();\n }","float getMainUtteranceDynamicGain();","float getTemperature();","double angMomentum();","public double getMon603r() {\r\n\t\treturn this.mon603r;\r\n\t}","private void calculateVolume() {\n\n\t\t/*\n\n\t\t */\n\t\tfor(int i=0; i<this._prismoidsLength.size(); i++) \n\t\t\tthis._prismoidsVolumes.add(\n\t\t\t\t\tAmount.valueOf(\n\t\t\t\t\t\t\tthis._prismoidsLength.get(i).divide(3)\n\t\t\t\t\t\t\t.times(\n\t\t\t\t\t\t\t\t\tthis._prismoidsSectionsAreas.get(i).getEstimatedValue()\n\t\t\t\t\t\t\t\t\t+ this._prismoidsSectionsAreas.get(i+1).getEstimatedValue()\n\t\t\t\t\t\t\t\t\t+ Math.sqrt(\n\t\t\t\t\t\t\t\t\t\t\tthis._prismoidsSectionsAreas.get(i)\n\t\t\t\t\t\t\t\t\t\t\t.times(this._prismoidsSectionsAreas.get(i+1))\n\t\t\t\t\t\t\t\t\t\t\t.getEstimatedValue()\n\t\t\t\t\t\t\t\t\t\t\t)\n\t\t\t\t\t\t\t\t\t).getEstimatedValue(),\n\t\t\t\t\t\t\tSI.CUBIC_METRE\n\t\t\t\t\t\t\t)\n\t\t\t\t\t);\n\t\t\n\t\tfor(int i=0; i<this._prismoidsVolumes.size(); i++)\n\t\t\tthis._fuelVolume = this._fuelVolume\n\t\t\t\t\t\t\t\t\t\t.plus(this._prismoidsVolumes.get(i));\n\t\tthis._fuelVolume = this._fuelVolume.times(2);\n\t\t\n\t}","@Override\r\n\tdouble getBonificacao() {\n\t\treturn 0;\r\n\t}","double getPressure();","@ComputerMethod\n private FloatingLong getEnergyUsage() {\n return getActive() ? energyContainer.getEnergyPerTick() : FloatingLong.ZERO;\n }","@Override \n\tpublic void periodic() {\n\t\tSmartDashboard.putBoolean(\"Mod 0 Motor Inversion\", mSwerveModules[0].getDriveMotor().getInverted());\n\t\tSmartDashboard.putBoolean(\"Mod 1 Motor Inversion\", mSwerveModules[1].getDriveMotor().getInverted());\n\t\tSmartDashboard.putBoolean(\"Mod 2 Motor Inversion\", mSwerveModules[2].getDriveMotor().getInverted());\n\t\tSmartDashboard.putBoolean(\"Mod 3 Motor Inversion\", mSwerveModules[3].getDriveMotor().getInverted());\n\t\tSmartDashboard.putNumber(\"Mod 0 Angle\", mSwerveModules[0].getCurrentAngle());\n\t\tSmartDashboard.putNumber(\"Mod 1 Angle\", mSwerveModules[1].getCurrentAngle());\n\t\tSmartDashboard.putNumber(\"Mod 2 Angle\", mSwerveModules[2].getCurrentAngle());\n\t\tSmartDashboard.putNumber(\"Mod 3 Angle\", mSwerveModules[3].getCurrentAngle());\n\t\tSmartDashboard.putNumber(\"Encoder Ticks in Inches: \", mSwerveModules[3].getInches());\n\t}","public float getVolumeMultiplier();","EDataType getReactivePower();","float getVacationAccrualRate();","@Override\n\tpublic double calculaImc() {\n\t\t imc = peso / (altura * altura);\n\t\treturn imc;\n\t}","public double getPetroleumIntensityOfElectricityProduction() {\r\n\t\treturn petroleumIntensityOfElectricityProduction;\r\n\t}","public double getFluctuation() { return fluctuation; }","public Double getCarbonMonoxideConcentration() {\n return carbonMonoxideConcentration;\n }","public void cal_AdjustedFuelMoist(){\r\n\tADFM=0.9*FFM+0.5+9.5*Math.exp(-BUO/50);\r\n}","float getVoltageStepIncrementOutOfPhase();","public double getTemperature() {return temperature;}","public double getInitialElectricityProduction() {\r\n\t\treturn initialElectricityProduction;\r\n\t}","public double getEnergy(){\n\t\t return energy;\n\t}","public double getCurrentFuel();","private VibrationEffect getVibrationEffect() {\n return VibrationEffect.startComposition()\n .addPrimitive(VibrationEffect.Composition.PRIMITIVE_THUD, 1.0f, 50)\n .compose();\n }","public double getEnergy() { return energy; }","@Override\n\tpublic double getRealDispersion() {\n\t\treturn 0;\n\t}","public double getMon603a1() {\r\n\t\treturn mon603a1;\r\n\t}","public double[] getCurrentMotorVelocitiesInCentimetersPerSecond()\n {\n return finchController.getCurrentMotorVelocitiesInCentimetersPerSecond();\n }","public double getCoefficient();","public double getVelocity() {\n return mV;\n }","@Override\r\n double computeAccelerations() {\r\n double potentialEnergy;\r\n \r\n potentialEnergy = computeWallForces();\r\n assignMoleculesToCells(); \r\n potentialEnergy += computeForcesWithinCells();\r\n potentialEnergy += computeForcesWithNeighbourCells();\r\n \r\n return potentialEnergy;\r\n }","public double getNu() {return nu;}","@ComputerMethod\n private FloatingLong getEnergyUsage() {\n return energyContainer.getEnergyPerTick();\n }","public IntegerProperty getTemp() {\n\t\treturn temperature;\n\t}","public float obtenMotor(){\r\n return this.motor;\r\n }","public double getCyclinderVolume();","@Override\n\tpublic double calRate() {\n\t\treturn 0.9f;\n\t}","int getEnergy();","public void calculateMMage() {\n\t\t\n\t}","public float getCohesion() {\n\treturn 0;\n }","private double getRecEnergy(){\n\t\tdebugMatrix = new double[CELL_SIDE_COUNT][CELL_SIDE_COUNT];\n\t\tconvolutedMatrix = new Complex[CELL_SIDE_COUNT][CELL_SIDE_COUNT];\n\t\t//initiliaze the whole convolutedMatrix array to zero\n\t\tfor(int x = 0; x < CELL_SIDE_COUNT; x++)\n\t\t{\n\t\t\tfor(int y = 0; y < CELL_SIDE_COUNT; y++)\n\t\t\t{\n\t\t\t\tconvolutedMatrix[x][y] = Complex.zero;\n\t\t\t}\n\t\t}\n\t\t\n\t\t//Pg. 180 Lee[05]\n\t\tint indexTop = CELL_SIDE_COUNT * CELL_SIDE_COUNT;\n\t\t//Eq 19 Lee[05]\n\t\t//Also Eq 3.9 Essman[95]\n\t\tdouble sum = 0;\n\t\tint indtop = CELL_SIDE_COUNT * CELL_SIDE_COUNT;\n\t\tint midPoint = CELL_SIDE_COUNT / 2;\n\t\tif (midPoint << 1 < CELL_SIDE_COUNT) {\n\t\t\t++midPoint;\n\t\t}\n\t\t\n\t\tfor (int ind = 1; ind <= (indtop - 1); ++ind) {\n\t\t\t\n\t\t\tint y = ind / CELL_SIDE_COUNT + 1;\n\t\t\tint x = ind - (y - 1) * CELL_SIDE_COUNT + 1;\n\t\t\tint mXPrime = x - 1;\n\t\t\tif (x > midPoint) {\n\t\t\t\tmXPrime = x - 1 - CELL_SIDE_COUNT;\n\t\t\t}\n\t\t\tint mYPrime = y - 1;\n\t\t\tif (y > midPoint) {\n\t\t\t\tmYPrime = y - 1 - CELL_SIDE_COUNT;\n\t\t\t}\n\t\t\tdouble m = mXPrime * 1.0 + mYPrime * 1.0; //Was inverseMeshWidth - theory is reciprocal lattice vectors are for the entire cell U rather than one cell\n\t\t\tdouble mSquared = squared(mXPrime * 1.0) + squared(mYPrime * 1.0);\n\t\t\t\n\t\t\tdouble V = 1; //working in the unit mesh\n\t\t\tdouble bterm = M.bspmod[x]*M.bspmod[y];\n\t\t\tdouble eterm = Math.exp(-squared(Math.PI/ewaldCoefficient)*mSquared) / (bterm * Math.PI * V * mSquared);\n\t\t\t//Section 3.2.8 Lee[05]\n\t\t\tdouble inverseQPart = (squared(inverseFTQComplex[x-1][y-1].re())+squared(inverseFTQComplex[x-1][y-1].im())); //Lee[05]\n\t\t\tdouble thisContribution = eterm * inverseQPart;\n\t\t\tconvolutedMatrix[x-1][y-1] = inverseFTQComplex[x-1][y-1].scale(eterm); //Save this for the force calculation\n\t\t\tsum += thisContribution; //from the argument that F(Q(M))*F(Q(-M))=F-1(Q)^2\n\t\t}\n\t\treturn 0.5*sum;\n\t}","public Vector2D getAcceleration()\n\t{\n\t\treturn acceleration;\n\t}","public double initialNotional()\n\t{\n\t\treturn _lsPeriod.get (0).baseNotional();\n\t}","public double getMon603a() {\r\n\t\treturn this.mon603a;\r\n\t}","public float getEnergyRate() { return EnergyRate; }","public double mleVar() {\n\t\tint n = this.getAttCount();\n\t\tif (n == 0) return Constants.UNUSED;\n\n\t\tdouble mean = mean();\n\t\tdouble sum = 0;\n\t\tfor (int i = 0; i < n; i++) {\n\t\t\tdouble v = this.getValueAsReal(i);\n\t\t\tdouble deviation = v - mean;\n\t\t\tsum += deviation * deviation;\n\t\t}\n\t\treturn sum / (double)n;\n\t}","VariableAmount getExtremeSpikeIncrease();"],"string":"[\n \"public abstract double getCarbon();\",\n \"double getAcceleration ();\",\n \"public abstract float getMomentOfInertia();\",\n \"@Override\\n\\tpublic double getCarbon() {\\n\\t\\treturn 0;\\n\\t}\",\n \"Measurement getAccumulation();\",\n \"public Momentum() {\\r\\n m1 = m2 = v1 = v2 = p1 = p2 = comx = cv = 0.0;\\r\\n xp1 = 0.0;\\r\\n xp2 = 900.0;\\r\\n m1 = 2.0;\\r\\n m2 = 1.0;\\r\\n v1 = 1.0;\\r\\n v2 = -1.0;\\r\\n\\r\\n //m1 = m2 = 1.0;\\r\\n //v1 = 2.0;\\r\\n //v2 = -4.0;\\r\\n d = dc = 8.0;\\r\\n }\",\n \"public Double getCarbon() {\\n return product.getCarbon() * weight / 100;\\n }\",\n \"FloatResource temperatureCoefficient();\",\n \"public double masse () {return this.volume()*this.element.masseVolumique();}\",\n \"public abstract Double getMontant();\",\n \"public abstract double getPreis();\",\n \"public void calcInc(int np)\\n\\t{\\n \\n findSpecEq();\\n int nofc=numberOfComponents;\\n fvec.timesEquals(0.0);\\n fvec.set(nofc+1,0,1.0);\\n Matrix dxds=Jac.solve(fvec);\\n if (np<5)\\n {\\n double dp=0.01;\\n ds=dp/dxds.get(nofc+1,0);\\n Xgij.setMatrix(0,nofc+1,np-1,np-1,u);\\n dxds.timesEquals(ds);\\n // dxds.print(0,10);\\n u.plusEquals(dxds);\\n // Xgij.print(0,10);\\n// u.print(0,10);\\n }\\n else\\n {\\n //System.out.println(\\\"iter \\\" +iter + \\\" np \\\" + np);\\n if (iter>6)\\n { \\n ds *= 0.5;\\n System.out.println(\\\"ds > 6\\\");\\n }\\n \\n else\\n {\\n if (iter<3) {\\n ds *= 1.5;\\n }\\n if (iter==3) {\\n ds *= 1.1;\\n }\\n if (iter==4) {\\n ds *= 1.0;\\n }\\n if (iter>4) {\\n ds *= 0.5;\\n }\\n \\n// Now we check wheater this ds is greater than dTmax and dPmax.\\n if(Math.abs(system.getTemperature()*dxds.get(nofc,0)*ds)>dTmax){\\n // System.out.println(\\\"true T\\\");\\n ds=sign(dTmax/system.getTemperature()/Math.abs(dxds.get(nofc,0)),ds);\\n }\\n \\n if(Math.abs(system.getPressure()*dxds.get(nofc+1,0)*ds)>dPmax)\\n {\\n ds=sign(dPmax/system.getPressure()/Math.abs(dxds.get(nofc+1,0)),ds);\\n // System.out.println(\\\"true P\\\");\\n }\\n if (etterCP2) {\\n etterCP2=false;\\n ds = 0.5*ds;\\n }\\n \\n Xgij.setMatrix(0,nofc+1,0,2,Xgij.getMatrix(0,nofc+1,1,3)); \\n Xgij.setMatrix(0,nofc+1,3,3,u);\\n s.setMatrix(0,0,0,3,Xgij.getMatrix(speceq,speceq,0,3));\\n // s.print(0,10);\\n // System.out.println(\\\"ds1 : \\\" + ds);\\n calcInc2(np);\\n // System.out.println(\\\"ds2 : \\\" + ds);\\n \\n// Here we find the next point from the polynomial.\\n \\n }\\n }\\n }\",\n \"private int[] calculateMomentum(byte state){\\n //pull out each particle.\\n\\n //each particle has an x and y momentum based on its direction\\n //1 x = 1, y = 0\\n //2 x = cos(pi/3), y = sin(pi/3)\\n //3 x = cos(2pi/3), y = sin(2pi/3)\\n //4 x = -1, y = 0\\n //5 x = cos(4pi/3), y = sin(4pi/3)\\n //6 x = cos(5pi/3), y = sin(5pi/3)\\n\\n\\n// double x = 0.0;\\n// double y = 0.0;\\n//\\n// double arg = 0.0;\\n// for(int n = 0; n < SMASKS.length; n++){\\n// if((incomingState & SMASKS[n]) == SMASKS[n]){\\n// arg = (n*Math.PI)/3;\\n// x += BigDecimal.valueOf(Math.cos(arg)).setScale(5, BigDecimal.ROUND_DOWN).doubleValue();\\n// y += BigDecimal.valueOf(Math.sin(arg)).setScale(5, BigDecimal.ROUND_DOWN).doubleValue();\\n// }\\n// }\\n// return new double[]{x, y};\\n\\n //each particle has an x and y momentum based on its direction\\n //1 x = 100, y = 0000\\n //2 x = 050, y = 087\\n //3 x = -050, y = 087\\n //4 x = -100, y = 000\\n //5 x = -050, y = -087\\n //6 x = 050, y = -087\\n\\n int x = 0;\\n int y = 0;\\n\\n for(int n = 0; n < SMASKS.length; n++){\\n if((state & SMASKS[n]) == SMASKS[n]){\\n x += xm[n];\\n y += ym[n];\\n }\\n }\\n return new int[]{x, y};\\n }\",\n \"private float horisontalTicker() {\\n\\t\\t\\t\\treturn (ticker_horisontal += 0.8f);\\n\\t\\t\\t}\",\n \"public double getVelocityRPM();\",\n \"float getNominalVoltageOutOfPhase();\",\n \"public float getDisp();\",\n \"protected void calcVelocity()\\n\\t{}\",\n \"Double getPreStress();\",\n \"@Override\\n public Float compute() {\\n\\treturn calc();\\n }\",\n \"public abstract double getMeasurement();\",\n \"public abstract double getMeasurement();\",\n \"public double getAtomicWeight() {\\n }\",\n \"public static double thermalCaloriesToElectronVolts(double num){ return (num*9.223*Math.exp(18)); }\",\n \"public double get_thermal_reading() {\\n\\t\\t\\n\\t\\treturn 0;\\n\\t}\",\n \"abstract public double compute(Composition comp, double e0);\",\n \"@Override\\n\\tpublic double getMontant() {\\n\\t\\treturn 0;\\n\\t}\",\n \"public double ElectricCurrent() {\\n return OCCwrapJavaJNI.Units_Dimensions_ElectricCurrent(swigCPtr, this);\\n }\",\n \"abstract double calculateCurrentDiscountRate();\",\n \"public float getVolum() {\\n return volum;\\n }\",\n \"float getSurfaceVolatility();\",\n \"public abstract double calcVolume();\",\n \"public abstract double calcVolume();\",\n \"@Override\\n public double getCONSUMPTION() {\\n if (status && brightValue != 0) {\\n this.consumption = (super.DEFAULTCONSUMPTION + 2) + (brightValue / 100);\\n } else if (status) {\\n this.consumption = super.DEFAULTCONSUMPTION + 2;\\n } else if (status != true) {\\n this.consumption = super.DEFAULTCONSUMPTION;\\n }\\n\\n return consumption;\\n }\",\n \"protected abstract float getMeasurement();\",\n \"@Override\\n\\tpublic void calcularVolume() {\\n\\t\\t\\n\\t}\",\n \"float getPreGain();\",\n \"public double calculateVelocity(){\\n double storyPoints = 0.0; // number of story points completed in total\\n double numWeeks = BoardManager.get().getCurrentBoard().getAge()/7.0;\\n LinkedList<Card> allCompletedCards = BoardManager.get().getCurrentBoard().getCardsOf(Role.COMPLETED_WORK);\\n for (Card card : allCompletedCards) {\\n storyPoints += card.getStoryPoints();\\n }\\n if (storyPoints == 0.0){\\n return 0.0;\\n }\\n return Math.round(storyPoints/numWeeks * 100D) / 100D;\\n }\",\n \"public double getMon603r1() {\\r\\n\\t\\treturn mon603r1;\\r\\n\\t}\",\n \"public double getTemp(){\\n return currentTemp;\\n }\",\n \"ObjectProperty<Double> criticalLowProperty();\",\n \"int getExposureCompensationPref();\",\n \"private void calcCalories()\\n\\t{\\n\\t\\tif (getIntensity() == 1)\\n\\t\\t{\\n\\t\\t\\tbikeCal = 10 * bikeTime; \\n\\t\\t}\\n\\t\\telse if (getIntensity() == 2)\\n\\t\\t{\\n\\t\\t\\tbikeCal = 14.3 * bikeTime; \\n\\t\\t}\\n\\t\\telse {\\n\\t\\t\\tJOptionPane.showMessageDialog(null, \\\"error\\\");\\n\\t\\t}\\n\\t}\",\n \"public double getAcceleration() {\\r\\n return acceleration;\\r\\n }\",\n \"double compute() {\\r\\ndouble b, e;\\r\\nb = (1 + rateOfRet/compPerYear);\\r\\ne = compPerYear * numYears;\\r\\nreturn principal * Math.pow(b, e);\\r\\n}\",\n \"public double getResistance() \\n {\\n //dummy return value.\\n return 0;\\n }\",\n \"private double calcuCMetric() {\\n\\t\\treturn (p-1)/fcost;\\n\\t}\",\n \"public double getObjective() {\\n return multiClassClassifierObj() + binaryObj();\\n// +(1-temperature)*getEntropy();\\n }\",\n \"public double getAcceleration() {\\n return acceleration;\\n }\",\n \"ObjectProperty<Double> criticalHighProperty();\",\n \"public void updateLorenzoIndicator(int indicator){\\n\\n }\",\n \"public Double getConcentration();\",\n \"Double getTensionForce();\",\n \"@Override\\n public double getMeasure() {\\n return getFuelEffieciency();\\n }\",\n \"float getMainUtteranceDynamicGain();\",\n \"float getTemperature();\",\n \"double angMomentum();\",\n \"public double getMon603r() {\\r\\n\\t\\treturn this.mon603r;\\r\\n\\t}\",\n \"private void calculateVolume() {\\n\\n\\t\\t/*\\n\\n\\t\\t */\\n\\t\\tfor(int i=0; i<this._prismoidsLength.size(); i++) \\n\\t\\t\\tthis._prismoidsVolumes.add(\\n\\t\\t\\t\\t\\tAmount.valueOf(\\n\\t\\t\\t\\t\\t\\t\\tthis._prismoidsLength.get(i).divide(3)\\n\\t\\t\\t\\t\\t\\t\\t.times(\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tthis._prismoidsSectionsAreas.get(i).getEstimatedValue()\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t+ this._prismoidsSectionsAreas.get(i+1).getEstimatedValue()\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t+ Math.sqrt(\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tthis._prismoidsSectionsAreas.get(i)\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.times(this._prismoidsSectionsAreas.get(i+1))\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.getEstimatedValue()\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t)\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t).getEstimatedValue(),\\n\\t\\t\\t\\t\\t\\t\\tSI.CUBIC_METRE\\n\\t\\t\\t\\t\\t\\t\\t)\\n\\t\\t\\t\\t\\t);\\n\\t\\t\\n\\t\\tfor(int i=0; i<this._prismoidsVolumes.size(); i++)\\n\\t\\t\\tthis._fuelVolume = this._fuelVolume\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.plus(this._prismoidsVolumes.get(i));\\n\\t\\tthis._fuelVolume = this._fuelVolume.times(2);\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tdouble getBonificacao() {\\n\\t\\treturn 0;\\r\\n\\t}\",\n \"double getPressure();\",\n \"@ComputerMethod\\n private FloatingLong getEnergyUsage() {\\n return getActive() ? energyContainer.getEnergyPerTick() : FloatingLong.ZERO;\\n }\",\n \"@Override \\n\\tpublic void periodic() {\\n\\t\\tSmartDashboard.putBoolean(\\\"Mod 0 Motor Inversion\\\", mSwerveModules[0].getDriveMotor().getInverted());\\n\\t\\tSmartDashboard.putBoolean(\\\"Mod 1 Motor Inversion\\\", mSwerveModules[1].getDriveMotor().getInverted());\\n\\t\\tSmartDashboard.putBoolean(\\\"Mod 2 Motor Inversion\\\", mSwerveModules[2].getDriveMotor().getInverted());\\n\\t\\tSmartDashboard.putBoolean(\\\"Mod 3 Motor Inversion\\\", mSwerveModules[3].getDriveMotor().getInverted());\\n\\t\\tSmartDashboard.putNumber(\\\"Mod 0 Angle\\\", mSwerveModules[0].getCurrentAngle());\\n\\t\\tSmartDashboard.putNumber(\\\"Mod 1 Angle\\\", mSwerveModules[1].getCurrentAngle());\\n\\t\\tSmartDashboard.putNumber(\\\"Mod 2 Angle\\\", mSwerveModules[2].getCurrentAngle());\\n\\t\\tSmartDashboard.putNumber(\\\"Mod 3 Angle\\\", mSwerveModules[3].getCurrentAngle());\\n\\t\\tSmartDashboard.putNumber(\\\"Encoder Ticks in Inches: \\\", mSwerveModules[3].getInches());\\n\\t}\",\n \"public float getVolumeMultiplier();\",\n \"EDataType getReactivePower();\",\n \"float getVacationAccrualRate();\",\n \"@Override\\n\\tpublic double calculaImc() {\\n\\t\\t imc = peso / (altura * altura);\\n\\t\\treturn imc;\\n\\t}\",\n \"public double getPetroleumIntensityOfElectricityProduction() {\\r\\n\\t\\treturn petroleumIntensityOfElectricityProduction;\\r\\n\\t}\",\n \"public double getFluctuation() { return fluctuation; }\",\n \"public Double getCarbonMonoxideConcentration() {\\n return carbonMonoxideConcentration;\\n }\",\n \"public void cal_AdjustedFuelMoist(){\\r\\n\\tADFM=0.9*FFM+0.5+9.5*Math.exp(-BUO/50);\\r\\n}\",\n \"float getVoltageStepIncrementOutOfPhase();\",\n \"public double getTemperature() {return temperature;}\",\n \"public double getInitialElectricityProduction() {\\r\\n\\t\\treturn initialElectricityProduction;\\r\\n\\t}\",\n \"public double getEnergy(){\\n\\t\\t return energy;\\n\\t}\",\n \"public double getCurrentFuel();\",\n \"private VibrationEffect getVibrationEffect() {\\n return VibrationEffect.startComposition()\\n .addPrimitive(VibrationEffect.Composition.PRIMITIVE_THUD, 1.0f, 50)\\n .compose();\\n }\",\n \"public double getEnergy() { return energy; }\",\n \"@Override\\n\\tpublic double getRealDispersion() {\\n\\t\\treturn 0;\\n\\t}\",\n \"public double getMon603a1() {\\r\\n\\t\\treturn mon603a1;\\r\\n\\t}\",\n \"public double[] getCurrentMotorVelocitiesInCentimetersPerSecond()\\n {\\n return finchController.getCurrentMotorVelocitiesInCentimetersPerSecond();\\n }\",\n \"public double getCoefficient();\",\n \"public double getVelocity() {\\n return mV;\\n }\",\n \"@Override\\r\\n double computeAccelerations() {\\r\\n double potentialEnergy;\\r\\n \\r\\n potentialEnergy = computeWallForces();\\r\\n assignMoleculesToCells(); \\r\\n potentialEnergy += computeForcesWithinCells();\\r\\n potentialEnergy += computeForcesWithNeighbourCells();\\r\\n \\r\\n return potentialEnergy;\\r\\n }\",\n \"public double getNu() {return nu;}\",\n \"@ComputerMethod\\n private FloatingLong getEnergyUsage() {\\n return energyContainer.getEnergyPerTick();\\n }\",\n \"public IntegerProperty getTemp() {\\n\\t\\treturn temperature;\\n\\t}\",\n \"public float obtenMotor(){\\r\\n return this.motor;\\r\\n }\",\n \"public double getCyclinderVolume();\",\n \"@Override\\n\\tpublic double calRate() {\\n\\t\\treturn 0.9f;\\n\\t}\",\n \"int getEnergy();\",\n \"public void calculateMMage() {\\n\\t\\t\\n\\t}\",\n \"public float getCohesion() {\\n\\treturn 0;\\n }\",\n \"private double getRecEnergy(){\\n\\t\\tdebugMatrix = new double[CELL_SIDE_COUNT][CELL_SIDE_COUNT];\\n\\t\\tconvolutedMatrix = new Complex[CELL_SIDE_COUNT][CELL_SIDE_COUNT];\\n\\t\\t//initiliaze the whole convolutedMatrix array to zero\\n\\t\\tfor(int x = 0; x < CELL_SIDE_COUNT; x++)\\n\\t\\t{\\n\\t\\t\\tfor(int y = 0; y < CELL_SIDE_COUNT; y++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tconvolutedMatrix[x][y] = Complex.zero;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t//Pg. 180 Lee[05]\\n\\t\\tint indexTop = CELL_SIDE_COUNT * CELL_SIDE_COUNT;\\n\\t\\t//Eq 19 Lee[05]\\n\\t\\t//Also Eq 3.9 Essman[95]\\n\\t\\tdouble sum = 0;\\n\\t\\tint indtop = CELL_SIDE_COUNT * CELL_SIDE_COUNT;\\n\\t\\tint midPoint = CELL_SIDE_COUNT / 2;\\n\\t\\tif (midPoint << 1 < CELL_SIDE_COUNT) {\\n\\t\\t\\t++midPoint;\\n\\t\\t}\\n\\t\\t\\n\\t\\tfor (int ind = 1; ind <= (indtop - 1); ++ind) {\\n\\t\\t\\t\\n\\t\\t\\tint y = ind / CELL_SIDE_COUNT + 1;\\n\\t\\t\\tint x = ind - (y - 1) * CELL_SIDE_COUNT + 1;\\n\\t\\t\\tint mXPrime = x - 1;\\n\\t\\t\\tif (x > midPoint) {\\n\\t\\t\\t\\tmXPrime = x - 1 - CELL_SIDE_COUNT;\\n\\t\\t\\t}\\n\\t\\t\\tint mYPrime = y - 1;\\n\\t\\t\\tif (y > midPoint) {\\n\\t\\t\\t\\tmYPrime = y - 1 - CELL_SIDE_COUNT;\\n\\t\\t\\t}\\n\\t\\t\\tdouble m = mXPrime * 1.0 + mYPrime * 1.0; //Was inverseMeshWidth - theory is reciprocal lattice vectors are for the entire cell U rather than one cell\\n\\t\\t\\tdouble mSquared = squared(mXPrime * 1.0) + squared(mYPrime * 1.0);\\n\\t\\t\\t\\n\\t\\t\\tdouble V = 1; //working in the unit mesh\\n\\t\\t\\tdouble bterm = M.bspmod[x]*M.bspmod[y];\\n\\t\\t\\tdouble eterm = Math.exp(-squared(Math.PI/ewaldCoefficient)*mSquared) / (bterm * Math.PI * V * mSquared);\\n\\t\\t\\t//Section 3.2.8 Lee[05]\\n\\t\\t\\tdouble inverseQPart = (squared(inverseFTQComplex[x-1][y-1].re())+squared(inverseFTQComplex[x-1][y-1].im())); //Lee[05]\\n\\t\\t\\tdouble thisContribution = eterm * inverseQPart;\\n\\t\\t\\tconvolutedMatrix[x-1][y-1] = inverseFTQComplex[x-1][y-1].scale(eterm); //Save this for the force calculation\\n\\t\\t\\tsum += thisContribution; //from the argument that F(Q(M))*F(Q(-M))=F-1(Q)^2\\n\\t\\t}\\n\\t\\treturn 0.5*sum;\\n\\t}\",\n \"public Vector2D getAcceleration()\\n\\t{\\n\\t\\treturn acceleration;\\n\\t}\",\n \"public double initialNotional()\\n\\t{\\n\\t\\treturn _lsPeriod.get (0).baseNotional();\\n\\t}\",\n \"public double getMon603a() {\\r\\n\\t\\treturn this.mon603a;\\r\\n\\t}\",\n \"public float getEnergyRate() { return EnergyRate; }\",\n \"public double mleVar() {\\n\\t\\tint n = this.getAttCount();\\n\\t\\tif (n == 0) return Constants.UNUSED;\\n\\n\\t\\tdouble mean = mean();\\n\\t\\tdouble sum = 0;\\n\\t\\tfor (int i = 0; i < n; i++) {\\n\\t\\t\\tdouble v = this.getValueAsReal(i);\\n\\t\\t\\tdouble deviation = v - mean;\\n\\t\\t\\tsum += deviation * deviation;\\n\\t\\t}\\n\\t\\treturn sum / (double)n;\\n\\t}\",\n \"VariableAmount getExtremeSpikeIncrease();\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5842511","0.5621919","0.55915004","0.54739785","0.53959656","0.5384035","0.5352019","0.5313902","0.5301976","0.5283968","0.52585053","0.52410376","0.52403766","0.5226403","0.5222235","0.52209216","0.5213842","0.5205169","0.51634383","0.5163087","0.5155868","0.5155868","0.51504993","0.5144447","0.5140738","0.51384014","0.51180077","0.5108576","0.5105583","0.50995463","0.5095312","0.5092653","0.5092653","0.50882196","0.50856453","0.5070888","0.50707716","0.50658613","0.5021987","0.50217706","0.50158024","0.50129414","0.50099415","0.50077736","0.5005167","0.50007886","0.49864835","0.4980923","0.4968647","0.49615237","0.4950573","0.49486265","0.49415848","0.49409547","0.49380016","0.4935413","0.4927121","0.49241155","0.49164328","0.49151784","0.49134904","0.49121818","0.49119964","0.49112776","0.49097705","0.4909653","0.49090555","0.48980156","0.48977086","0.48859686","0.48847228","0.48844534","0.48835585","0.4879821","0.48687628","0.4866714","0.4861181","0.48582703","0.4851215","0.48489523","0.48434705","0.48365504","0.4834599","0.48320803","0.483137","0.48260748","0.48255777","0.4822902","0.48166066","0.48155951","0.48150706","0.48131073","0.48059577","0.48045975","0.47987694","0.47981733","0.47980437","0.47978854","0.4792699","0.47894958"],"string":"[\n \"0.5842511\",\n \"0.5621919\",\n \"0.55915004\",\n \"0.54739785\",\n \"0.53959656\",\n \"0.5384035\",\n \"0.5352019\",\n \"0.5313902\",\n \"0.5301976\",\n \"0.5283968\",\n \"0.52585053\",\n \"0.52410376\",\n \"0.52403766\",\n \"0.5226403\",\n \"0.5222235\",\n \"0.52209216\",\n \"0.5213842\",\n \"0.5205169\",\n \"0.51634383\",\n \"0.5163087\",\n \"0.5155868\",\n \"0.5155868\",\n \"0.51504993\",\n \"0.5144447\",\n \"0.5140738\",\n \"0.51384014\",\n \"0.51180077\",\n \"0.5108576\",\n \"0.5105583\",\n \"0.50995463\",\n \"0.5095312\",\n \"0.5092653\",\n \"0.5092653\",\n \"0.50882196\",\n \"0.50856453\",\n \"0.5070888\",\n \"0.50707716\",\n \"0.50658613\",\n \"0.5021987\",\n \"0.50217706\",\n \"0.50158024\",\n \"0.50129414\",\n \"0.50099415\",\n \"0.50077736\",\n \"0.5005167\",\n \"0.50007886\",\n \"0.49864835\",\n \"0.4980923\",\n \"0.4968647\",\n \"0.49615237\",\n \"0.4950573\",\n \"0.49486265\",\n \"0.49415848\",\n \"0.49409547\",\n \"0.49380016\",\n \"0.4935413\",\n \"0.4927121\",\n \"0.49241155\",\n \"0.49164328\",\n \"0.49151784\",\n \"0.49134904\",\n \"0.49121818\",\n \"0.49119964\",\n \"0.49112776\",\n \"0.49097705\",\n \"0.4909653\",\n \"0.49090555\",\n \"0.48980156\",\n \"0.48977086\",\n \"0.48859686\",\n \"0.48847228\",\n \"0.48844534\",\n \"0.48835585\",\n \"0.4879821\",\n \"0.48687628\",\n \"0.4866714\",\n \"0.4861181\",\n \"0.48582703\",\n \"0.4851215\",\n \"0.48489523\",\n \"0.48434705\",\n \"0.48365504\",\n \"0.4834599\",\n \"0.48320803\",\n \"0.483137\",\n \"0.48260748\",\n \"0.48255777\",\n \"0.4822902\",\n \"0.48166066\",\n \"0.48155951\",\n \"0.48150706\",\n \"0.48131073\",\n \"0.48059577\",\n \"0.48045975\",\n \"0.47987694\",\n \"0.47981733\",\n \"0.47980437\",\n \"0.47978854\",\n \"0.4792699\",\n \"0.47894958\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.48180455"},"document_rank":{"kind":"string","value":"88"}}},{"rowIdx":19795,"cells":{"query":{"kind":"string","value":"Computes the rate of change (or ROC) technical indicator."},"document":{"kind":"string","value":"public double rateOfChange(int periods, int t)\n {\n if(periods>t || periods<1)\n throw new IndexOutOfBoundsException(\"ROC(\" + periods + \") is undefined at time \" + t);\n return 100.0*(x[t] - x[t - periods])/x[t - periods];\n }"},"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":["abstract double calculateCurrentDiscountRate();","float getVacationAccrualRate();","public abstract double getDiscountRate();","double getRate();","@Override\n\tpublic double calRate() {\n\t\treturn 0.9f;\n\t}","public double getRate() {\r\n\t\treturn (getRate(0)+getRate(1))/2.0;\r\n\t}","public double getRate( ) {\nreturn monthlyInterestRate * 100.0 * MONTHS;\n}","double calculateRate(Temperature temperature, double Hrxn);","public double getInterest(){return this.interest_rate;}","public static final double internalRateOfReturn (\n double irrEstimate,\n double [ ] cashFlows )\n //////////////////////////////////////////////////////////////////////\n {\n double irr = irrEstimate;\n\n double delta = -irr * 0.1;\n\n double oldNpv = 0.0;\n\n while ( true )\n {\n double npv = netPresentValue ( irr, cashFlows );\n\n if ( npv == 0.0 )\n {\n return irr;\n }\n\n if ( oldNpv < 0.0 )\n {\n if ( npv > 0.0 )\n {\n delta *= -0.9;\n }\n else if ( npv > oldNpv )\n {\n delta *= 1.1;\n }\n else if ( npv < oldNpv )\n {\n delta = -delta;\n }\n else\n {\n delta = 0.0;\n }\n }\n else if ( oldNpv > 0.0 )\n {\n if ( npv < 0.0 )\n {\n delta *= -0.9;\n }\n else if ( npv < oldNpv )\n {\n delta *= 1.1;\n }\n else if ( npv > oldNpv )\n {\n delta = -delta;\n }\n else\n {\n delta = 0.0;\n }\n }\n\n/*\nSystem.out.println ( \"irr = \" + irr + \", oldNpv = \" + oldNpv + \", npv = \" + npv + \", delta = \" + delta );\n\ntry{\nnew BufferedReader ( new InputStreamReader ( System.in ) ).readLine ( );\n}catch (Exception x ) { }\n*/\n\n if ( delta == 0.0 )\n {\n return irr;\n }\n\n irr += delta;\n\n oldNpv = npv;\n }\n }","@Override\n\tpublic double getRate() {\n\t\treturn 7;\n\t}","@Override\n public int accion() {\n return this.alcance*2/3*3;\n }","public double calculateRate() {\n\t\tdouble rate = 0;\n\t\tfor (int i = 0; i < upgrades.size(); i++) {\n\t\t\trate += upgrades.get(i).getProduction();\n\t\t}\n\t\tbrain.setRate(rate);\n\t\treturn rate;\n\t}","public double discountRate () {\n return discountRate;\n }","double getTransRate();","public double getRate() {\n return rate;\n }","public double getRate() {\n return rate;\n }","public float getRate() {\n\treturn durationStretch * nominalRate;\n }","public Integer getRate() {\r\n return rate;\r\n }","public float getRate(){\r\n return rate;\r\n }","@Override\n\tpublic float calculateRunRate() {\n\t\tint remaingrun=Math.abs((super.getTarget()-super.getCurrentscore()));\n\t\tfloat remaingOver=20-super.getCurrentover();\n\t\treturn remaingrun/remaingOver;\n\t}","public double getRate() {\n\t\treturn rate;\n\t}","public static double getInterestRate(){\n\t\t return interest_rate;\r\n\t }","private void determinationExciseRate(Vehicle vehicle) {\n if (vehicle.getEngineType().name().equals(\"petrol\") && vehicle.getCapacity() <= 3000) {\n vehicle.setExciseRate(serviceForNumber.roundingNumber(\n (double) 50 / 1000 * vehicle.getAgeCoefficient(),\n 2));\n\n } else if (vehicle.getEngineType().name().equals(\"petrol\") && vehicle.getCapacity() > 3000) {\n vehicle.setExciseRate(serviceForNumber.roundingNumber(\n (double) 100 / 1000 * vehicle.getAgeCoefficient(),\n 2));\n\n } else if (vehicle.getEngineType().name().equals(\"diesel\") && vehicle.getCapacity() <= 3500) {\n vehicle.setExciseRate(serviceForNumber.roundingNumber(\n (double) 75 / 1000 * vehicle.getAgeCoefficient(),\n 2));\n\n } else if (vehicle.getEngineType().name().equals(\"diesel\") && vehicle.getCapacity() > 3500) {\n vehicle.setExciseRate(serviceForNumber.roundingNumber(\n (double) 150 / 1000 * vehicle.getAgeCoefficient(),\n 2));\n\n } else if (vehicle.getEngineType().name().equals(\"electric\")) {\n vehicle.setExciseRate(1);\n }\n }","public Double getChange();","public java.math.BigDecimal getIndicativeExchangeRate() {\r\n return indicativeExchangeRate;\r\n }","public int getRate() {\n return rate_;\n }","@Override\n\tpublic float calculateRunRate() {\n\t\tint remaingrun=Math.abs((super.getTarget()-super.getCurrentscore()));\n\t\tfloat remaingOver=50-super.getCurrentover();\n\t\treturn remaingrun/remaingOver;\n\t}","@Override\n\tpublic float calculateRunRate() {\n\t\tint remaingrun=Math.abs((super.getTarget()-super.getCurrentscore()));\n\t\tfloat remaingOver=30-super.getCurrentover();\n\t\treturn remaingrun/remaingOver;\n\t}","public double getRise(\n )\n {return rise;}","public double getInterestRate(){\n return interestRate;\n }","public void updateRate(double r){\r\n rate *= r;\r\n }","public int getChargeRate();","public Rate rate() {\n _initialize();\n return rate;\n }","@Override\n public double getDiscount() {\n return (30 /(1 + Math.exp(-1 * (this.years - 2) )))/100;\n }","public double getInterestRate(){\n return annualInterestRate;\n }","public double getAccruedInterest() {\n return _accruedInterest;\n }","public double getAccruedInterest() {\n return _accruedInterest;\n }","double getDiscountRate(int catalog_id, int customer_acc_no);","public abstract double calcAvRating();","public int getRate() {\n return rate_;\n }","public Double getChange(int in);","public double calculateRecall() {\n final long divisor = truePositive + falseNegative;\n if(divisor == 0) {\n return 0.0;\n } else {\n return truePositive / (double)divisor;\n }\n }","@Override\n\tint getRateOfInterest() {\n\t\treturn 7;\n\t}","public void setRate(double annualRate) {\nmonthlyInterestRate = annualRate / 100.0 / MONTHS;\n}","public double getInterest()\n {\n return interestRate;\n }","public float getRate() {\n\t\treturn rate;\n\t}","public double rating() {\r\n double value = BASE_RATING * specialization * (1 / (1 + era)) \r\n * ((wins - losses + saves) / 30.0);\r\n return value;\r\n }","public double impurity();","public double tradeRate()\n\t{\n\t\treturn _dblTradeRate;\n\t}","public BigDecimal getEXCH_RATE() {\r\n return EXCH_RATE;\r\n }","public double getDiscountRate(){\n\t\t//only valid choices are 0 (std), 1(senior), 2(pref cust)\n\t\tDISCOUNT_RATE = 0.05;\n\t\tswitch (discount_type) {\n\t\t case 0:\n\t\t\t break;\n\t\t case 1:\n\t\t\t DISCOUNT_RATE += .10;\n\t\t break;\n\t\t case 2:\n\t\t ;\n\t\t DISCOUNT_RATE += .15;\n\t\t break;\n\t\t default:\n\t\t System.out.println(\"Invalid Discout Type. Only standard discount will be applied\");\n\t\t}\n\t\treturn DISCOUNT_RATE; \n\t}","public double discountedPrice (){\n return basePrice - basePrice * discountRate;\n }","public interface IRate {\n\t\n\t//writing the class outline\n\tpublic void setRate();\n\tpublic void increaseRate();\n}","abstract protected BigDecimal getBasicTaxRate();","public double getInterestRate()\n {\n return this.interestRate;\n }","protected abstract Double getRate(T object);","public double getInterestRate() {\n return interestRate;\n }","@Override\n public double computeProfitUsingRisk() {\n return (getVehiclePerformance() / getVehiclePrice()) * evaluateRisk();\n }","float getPreGain();","@Override\n\tpublic double calcDiscount() {\n\t\treturn discount;\n\t}","public float getPeriodicRateChange() {\n return periodicRateChange;\n }","public abstract double getDepositDiscount();","public abstract double getPreis();","private Double getAdjRelativeRate(CurrencyType curr, int asOfDate, int interval) {\n CurrencySnapshot snap = curr.getSnapshotForDate(asOfDate);\n if (snap != null) {\n int snapDate = snap.getDateInt();\n // System.err.println(curr+\" \"+asOfDate+\" \"+interval+\" \"+snap);\n // First look in interval before the date: (T-I .. T]\n if ((DateUtil.incrementDate(asOfDate, 0, 0, -interval) < snapDate) && (snapDate <= asOfDate)) {\n return 1.0 / curr.adjustRateForSplitsInt(snapDate, snap.getRate());\n }\n // Now look in interval after the date: [T .. T+I)\n snap = curr.getSnapshotForDate(asOfDate + interval);\n if ((snap != null)\n && (asOfDate <= snapDate)\n && (snapDate < DateUtil.incrementDate(asOfDate, 0, 0, interval))) {\n return 1.0 / curr.adjustRateForSplitsInt(snapDate, snap.getRate());\n }\n }\n // No rate in interval\n return Double.NaN;\n }","public abstract void setRate();","public double getDiscount();","float getDiscount();","double calculateNewPrice(double discount_rate, double price);","protected double getDataRate() {\n\t\treturn (double) getThroughput() / (double) getElapsedTime();\n\t}","public void setRate();","public float getCountRate() {\n return countMonitor.getRate();\n }","double getReliability();","public void InterestRate() {\n\t\t\tSystem.out.println(\"9 percent\");\n\t\t}","public double getDiscountRate() {\n\t return discountRate;\n\t}","double getChangePercent() {\n\t return 100 - (currentPrice * 100 / previousClosingPrice);\n\t }","public double calcInterest(){\n double interest = (interestRate + 1) * balance;\n return interest;\n }","public Double getReturnRate() {\r\n return returnRate;\r\n }","public static double getXoRate() {\n\t\treturn xoRate;\n\t}","int getMortgageRate();","public int getCustomInformationTransferRate();","public double getConversionRate() {\n return conversionRate;\n }","@java.lang.Override\n public float getVacationAccrualRate() {\n return vacationAccrualRate_;\n }","public double getReturnRate() {\n return returnRate;\n }","@Override\n\tpublic double calcCompound(double amt, int year, float rate) {\n\t\tdouble ci = amt * Math.pow((1 + rate / 100), 2);\n\t\treturn ci-amt;\n\t}","public double updateCosts( ) {\n\t\tif (BenefitDetails.getsDiscount(fname, lname)) {\n\t\t\tyearlyBenefitCost = BenefitDetails.dependentRate * BenefitDetails.discount;\n\t\t} else {\n\t\t\tyearlyBenefitCost = BenefitDetails.dependentRate;\n\t\t}\n\n\t\treturn yearlyBenefitCost;\n\t}","public double calcAnnualIncome()\r\n {\r\n return ((hourlyWage * hoursPerWeek * weeksPerYear) * (1 - deductionsRate));\r\n }","public abstract double applyDiscount(double p);","@Override\r\n\tpublic double rideFare() {\r\n\t\tdouble trafficRate = 1;\r\n\t\tswitch(this.getTrafficKind()) {\r\n\t\t case Low:\r\n\t\t\ttrafficRate = 1;break;\r\n\t\t\tcase Medium:\r\n\t\t\t\ttrafficRate = 1.1;break;\r\n\t\t\tcase High:\r\n\t\t\t\ttrafficRate = 1.5;break;\r\n\t\t}\r\n\t\tdouble basicRate = 0;\r\n\t\tif (this.getLength() <5) { \r\n\t\t\tbasicRate = 3.3;\r\n\t\t} else if (10 > this.getLength()){\r\n\t\t\tbasicRate = 4.2;\r\n\t\t} else if (this.getLength() <20){\r\n\t\t\tbasicRate = 1.91;\r\n\t\t} else {\r\n\t\t\tbasicRate = 1.5;\r\n\t\t}\r\n\t\t\r\n\t\treturn basicRate * trafficRate * this.getLength();\r\n\t}","public double getCoolingRate() {\r\n\t\treturn this.coolingRate;\r\n\t}","String getReviewrate();","Measurement getAccumulation();","protected void onChange_EncounterRate() {\n onChange_EncounterRate_xjal( EncounterRate );\n }","public double getAnnualInterestRate() {\n return annualInterestRate;\n }","public double getAnnualInterestRate() {\n return annualInterestRate;\n }","public double taxCharged (){\n return discountedPrice() * taxRate;\n }","@java.lang.Override\n public float getVacationAccrualRate() {\n return vacationAccrualRate_;\n }","public static void updateCalorieRate(Person person) {\n\n double calorieRate = person.getCalorieRate();\n updatePerson(person, \"usercaloryrate\", calorieRate);\n }","@Override\r\n\tpublic double getRx() {\n\t\treturn 2 * this.a;\r\n\t}","public Double getCalories() {\n return product.getCalories() * weight / 100;\n }"],"string":"[\n \"abstract double calculateCurrentDiscountRate();\",\n \"float getVacationAccrualRate();\",\n \"public abstract double getDiscountRate();\",\n \"double getRate();\",\n \"@Override\\n\\tpublic double calRate() {\\n\\t\\treturn 0.9f;\\n\\t}\",\n \"public double getRate() {\\r\\n\\t\\treturn (getRate(0)+getRate(1))/2.0;\\r\\n\\t}\",\n \"public double getRate( ) {\\nreturn monthlyInterestRate * 100.0 * MONTHS;\\n}\",\n \"double calculateRate(Temperature temperature, double Hrxn);\",\n \"public double getInterest(){return this.interest_rate;}\",\n \"public static final double internalRateOfReturn (\\n double irrEstimate,\\n double [ ] cashFlows )\\n //////////////////////////////////////////////////////////////////////\\n {\\n double irr = irrEstimate;\\n\\n double delta = -irr * 0.1;\\n\\n double oldNpv = 0.0;\\n\\n while ( true )\\n {\\n double npv = netPresentValue ( irr, cashFlows );\\n\\n if ( npv == 0.0 )\\n {\\n return irr;\\n }\\n\\n if ( oldNpv < 0.0 )\\n {\\n if ( npv > 0.0 )\\n {\\n delta *= -0.9;\\n }\\n else if ( npv > oldNpv )\\n {\\n delta *= 1.1;\\n }\\n else if ( npv < oldNpv )\\n {\\n delta = -delta;\\n }\\n else\\n {\\n delta = 0.0;\\n }\\n }\\n else if ( oldNpv > 0.0 )\\n {\\n if ( npv < 0.0 )\\n {\\n delta *= -0.9;\\n }\\n else if ( npv < oldNpv )\\n {\\n delta *= 1.1;\\n }\\n else if ( npv > oldNpv )\\n {\\n delta = -delta;\\n }\\n else\\n {\\n delta = 0.0;\\n }\\n }\\n\\n/*\\nSystem.out.println ( \\\"irr = \\\" + irr + \\\", oldNpv = \\\" + oldNpv + \\\", npv = \\\" + npv + \\\", delta = \\\" + delta );\\n\\ntry{\\nnew BufferedReader ( new InputStreamReader ( System.in ) ).readLine ( );\\n}catch (Exception x ) { }\\n*/\\n\\n if ( delta == 0.0 )\\n {\\n return irr;\\n }\\n\\n irr += delta;\\n\\n oldNpv = npv;\\n }\\n }\",\n \"@Override\\n\\tpublic double getRate() {\\n\\t\\treturn 7;\\n\\t}\",\n \"@Override\\n public int accion() {\\n return this.alcance*2/3*3;\\n }\",\n \"public double calculateRate() {\\n\\t\\tdouble rate = 0;\\n\\t\\tfor (int i = 0; i < upgrades.size(); i++) {\\n\\t\\t\\trate += upgrades.get(i).getProduction();\\n\\t\\t}\\n\\t\\tbrain.setRate(rate);\\n\\t\\treturn rate;\\n\\t}\",\n \"public double discountRate () {\\n return discountRate;\\n }\",\n \"double getTransRate();\",\n \"public double getRate() {\\n return rate;\\n }\",\n \"public double getRate() {\\n return rate;\\n }\",\n \"public float getRate() {\\n\\treturn durationStretch * nominalRate;\\n }\",\n \"public Integer getRate() {\\r\\n return rate;\\r\\n }\",\n \"public float getRate(){\\r\\n return rate;\\r\\n }\",\n \"@Override\\n\\tpublic float calculateRunRate() {\\n\\t\\tint remaingrun=Math.abs((super.getTarget()-super.getCurrentscore()));\\n\\t\\tfloat remaingOver=20-super.getCurrentover();\\n\\t\\treturn remaingrun/remaingOver;\\n\\t}\",\n \"public double getRate() {\\n\\t\\treturn rate;\\n\\t}\",\n \"public static double getInterestRate(){\\n\\t\\t return interest_rate;\\r\\n\\t }\",\n \"private void determinationExciseRate(Vehicle vehicle) {\\n if (vehicle.getEngineType().name().equals(\\\"petrol\\\") && vehicle.getCapacity() <= 3000) {\\n vehicle.setExciseRate(serviceForNumber.roundingNumber(\\n (double) 50 / 1000 * vehicle.getAgeCoefficient(),\\n 2));\\n\\n } else if (vehicle.getEngineType().name().equals(\\\"petrol\\\") && vehicle.getCapacity() > 3000) {\\n vehicle.setExciseRate(serviceForNumber.roundingNumber(\\n (double) 100 / 1000 * vehicle.getAgeCoefficient(),\\n 2));\\n\\n } else if (vehicle.getEngineType().name().equals(\\\"diesel\\\") && vehicle.getCapacity() <= 3500) {\\n vehicle.setExciseRate(serviceForNumber.roundingNumber(\\n (double) 75 / 1000 * vehicle.getAgeCoefficient(),\\n 2));\\n\\n } else if (vehicle.getEngineType().name().equals(\\\"diesel\\\") && vehicle.getCapacity() > 3500) {\\n vehicle.setExciseRate(serviceForNumber.roundingNumber(\\n (double) 150 / 1000 * vehicle.getAgeCoefficient(),\\n 2));\\n\\n } else if (vehicle.getEngineType().name().equals(\\\"electric\\\")) {\\n vehicle.setExciseRate(1);\\n }\\n }\",\n \"public Double getChange();\",\n \"public java.math.BigDecimal getIndicativeExchangeRate() {\\r\\n return indicativeExchangeRate;\\r\\n }\",\n \"public int getRate() {\\n return rate_;\\n }\",\n \"@Override\\n\\tpublic float calculateRunRate() {\\n\\t\\tint remaingrun=Math.abs((super.getTarget()-super.getCurrentscore()));\\n\\t\\tfloat remaingOver=50-super.getCurrentover();\\n\\t\\treturn remaingrun/remaingOver;\\n\\t}\",\n \"@Override\\n\\tpublic float calculateRunRate() {\\n\\t\\tint remaingrun=Math.abs((super.getTarget()-super.getCurrentscore()));\\n\\t\\tfloat remaingOver=30-super.getCurrentover();\\n\\t\\treturn remaingrun/remaingOver;\\n\\t}\",\n \"public double getRise(\\n )\\n {return rise;}\",\n \"public double getInterestRate(){\\n return interestRate;\\n }\",\n \"public void updateRate(double r){\\r\\n rate *= r;\\r\\n }\",\n \"public int getChargeRate();\",\n \"public Rate rate() {\\n _initialize();\\n return rate;\\n }\",\n \"@Override\\n public double getDiscount() {\\n return (30 /(1 + Math.exp(-1 * (this.years - 2) )))/100;\\n }\",\n \"public double getInterestRate(){\\n return annualInterestRate;\\n }\",\n \"public double getAccruedInterest() {\\n return _accruedInterest;\\n }\",\n \"public double getAccruedInterest() {\\n return _accruedInterest;\\n }\",\n \"double getDiscountRate(int catalog_id, int customer_acc_no);\",\n \"public abstract double calcAvRating();\",\n \"public int getRate() {\\n return rate_;\\n }\",\n \"public Double getChange(int in);\",\n \"public double calculateRecall() {\\n final long divisor = truePositive + falseNegative;\\n if(divisor == 0) {\\n return 0.0;\\n } else {\\n return truePositive / (double)divisor;\\n }\\n }\",\n \"@Override\\n\\tint getRateOfInterest() {\\n\\t\\treturn 7;\\n\\t}\",\n \"public void setRate(double annualRate) {\\nmonthlyInterestRate = annualRate / 100.0 / MONTHS;\\n}\",\n \"public double getInterest()\\n {\\n return interestRate;\\n }\",\n \"public float getRate() {\\n\\t\\treturn rate;\\n\\t}\",\n \"public double rating() {\\r\\n double value = BASE_RATING * specialization * (1 / (1 + era)) \\r\\n * ((wins - losses + saves) / 30.0);\\r\\n return value;\\r\\n }\",\n \"public double impurity();\",\n \"public double tradeRate()\\n\\t{\\n\\t\\treturn _dblTradeRate;\\n\\t}\",\n \"public BigDecimal getEXCH_RATE() {\\r\\n return EXCH_RATE;\\r\\n }\",\n \"public double getDiscountRate(){\\n\\t\\t//only valid choices are 0 (std), 1(senior), 2(pref cust)\\n\\t\\tDISCOUNT_RATE = 0.05;\\n\\t\\tswitch (discount_type) {\\n\\t\\t case 0:\\n\\t\\t\\t break;\\n\\t\\t case 1:\\n\\t\\t\\t DISCOUNT_RATE += .10;\\n\\t\\t break;\\n\\t\\t case 2:\\n\\t\\t ;\\n\\t\\t DISCOUNT_RATE += .15;\\n\\t\\t break;\\n\\t\\t default:\\n\\t\\t System.out.println(\\\"Invalid Discout Type. Only standard discount will be applied\\\");\\n\\t\\t}\\n\\t\\treturn DISCOUNT_RATE; \\n\\t}\",\n \"public double discountedPrice (){\\n return basePrice - basePrice * discountRate;\\n }\",\n \"public interface IRate {\\n\\t\\n\\t//writing the class outline\\n\\tpublic void setRate();\\n\\tpublic void increaseRate();\\n}\",\n \"abstract protected BigDecimal getBasicTaxRate();\",\n \"public double getInterestRate()\\n {\\n return this.interestRate;\\n }\",\n \"protected abstract Double getRate(T object);\",\n \"public double getInterestRate() {\\n return interestRate;\\n }\",\n \"@Override\\n public double computeProfitUsingRisk() {\\n return (getVehiclePerformance() / getVehiclePrice()) * evaluateRisk();\\n }\",\n \"float getPreGain();\",\n \"@Override\\n\\tpublic double calcDiscount() {\\n\\t\\treturn discount;\\n\\t}\",\n \"public float getPeriodicRateChange() {\\n return periodicRateChange;\\n }\",\n \"public abstract double getDepositDiscount();\",\n \"public abstract double getPreis();\",\n \"private Double getAdjRelativeRate(CurrencyType curr, int asOfDate, int interval) {\\n CurrencySnapshot snap = curr.getSnapshotForDate(asOfDate);\\n if (snap != null) {\\n int snapDate = snap.getDateInt();\\n // System.err.println(curr+\\\" \\\"+asOfDate+\\\" \\\"+interval+\\\" \\\"+snap);\\n // First look in interval before the date: (T-I .. T]\\n if ((DateUtil.incrementDate(asOfDate, 0, 0, -interval) < snapDate) && (snapDate <= asOfDate)) {\\n return 1.0 / curr.adjustRateForSplitsInt(snapDate, snap.getRate());\\n }\\n // Now look in interval after the date: [T .. T+I)\\n snap = curr.getSnapshotForDate(asOfDate + interval);\\n if ((snap != null)\\n && (asOfDate <= snapDate)\\n && (snapDate < DateUtil.incrementDate(asOfDate, 0, 0, interval))) {\\n return 1.0 / curr.adjustRateForSplitsInt(snapDate, snap.getRate());\\n }\\n }\\n // No rate in interval\\n return Double.NaN;\\n }\",\n \"public abstract void setRate();\",\n \"public double getDiscount();\",\n \"float getDiscount();\",\n \"double calculateNewPrice(double discount_rate, double price);\",\n \"protected double getDataRate() {\\n\\t\\treturn (double) getThroughput() / (double) getElapsedTime();\\n\\t}\",\n \"public void setRate();\",\n \"public float getCountRate() {\\n return countMonitor.getRate();\\n }\",\n \"double getReliability();\",\n \"public void InterestRate() {\\n\\t\\t\\tSystem.out.println(\\\"9 percent\\\");\\n\\t\\t}\",\n \"public double getDiscountRate() {\\n\\t return discountRate;\\n\\t}\",\n \"double getChangePercent() {\\n\\t return 100 - (currentPrice * 100 / previousClosingPrice);\\n\\t }\",\n \"public double calcInterest(){\\n double interest = (interestRate + 1) * balance;\\n return interest;\\n }\",\n \"public Double getReturnRate() {\\r\\n return returnRate;\\r\\n }\",\n \"public static double getXoRate() {\\n\\t\\treturn xoRate;\\n\\t}\",\n \"int getMortgageRate();\",\n \"public int getCustomInformationTransferRate();\",\n \"public double getConversionRate() {\\n return conversionRate;\\n }\",\n \"@java.lang.Override\\n public float getVacationAccrualRate() {\\n return vacationAccrualRate_;\\n }\",\n \"public double getReturnRate() {\\n return returnRate;\\n }\",\n \"@Override\\n\\tpublic double calcCompound(double amt, int year, float rate) {\\n\\t\\tdouble ci = amt * Math.pow((1 + rate / 100), 2);\\n\\t\\treturn ci-amt;\\n\\t}\",\n \"public double updateCosts( ) {\\n\\t\\tif (BenefitDetails.getsDiscount(fname, lname)) {\\n\\t\\t\\tyearlyBenefitCost = BenefitDetails.dependentRate * BenefitDetails.discount;\\n\\t\\t} else {\\n\\t\\t\\tyearlyBenefitCost = BenefitDetails.dependentRate;\\n\\t\\t}\\n\\n\\t\\treturn yearlyBenefitCost;\\n\\t}\",\n \"public double calcAnnualIncome()\\r\\n {\\r\\n return ((hourlyWage * hoursPerWeek * weeksPerYear) * (1 - deductionsRate));\\r\\n }\",\n \"public abstract double applyDiscount(double p);\",\n \"@Override\\r\\n\\tpublic double rideFare() {\\r\\n\\t\\tdouble trafficRate = 1;\\r\\n\\t\\tswitch(this.getTrafficKind()) {\\r\\n\\t\\t case Low:\\r\\n\\t\\t\\ttrafficRate = 1;break;\\r\\n\\t\\t\\tcase Medium:\\r\\n\\t\\t\\t\\ttrafficRate = 1.1;break;\\r\\n\\t\\t\\tcase High:\\r\\n\\t\\t\\t\\ttrafficRate = 1.5;break;\\r\\n\\t\\t}\\r\\n\\t\\tdouble basicRate = 0;\\r\\n\\t\\tif (this.getLength() <5) { \\r\\n\\t\\t\\tbasicRate = 3.3;\\r\\n\\t\\t} else if (10 > this.getLength()){\\r\\n\\t\\t\\tbasicRate = 4.2;\\r\\n\\t\\t} else if (this.getLength() <20){\\r\\n\\t\\t\\tbasicRate = 1.91;\\r\\n\\t\\t} else {\\r\\n\\t\\t\\tbasicRate = 1.5;\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\treturn basicRate * trafficRate * this.getLength();\\r\\n\\t}\",\n \"public double getCoolingRate() {\\r\\n\\t\\treturn this.coolingRate;\\r\\n\\t}\",\n \"String getReviewrate();\",\n \"Measurement getAccumulation();\",\n \"protected void onChange_EncounterRate() {\\n onChange_EncounterRate_xjal( EncounterRate );\\n }\",\n \"public double getAnnualInterestRate() {\\n return annualInterestRate;\\n }\",\n \"public double getAnnualInterestRate() {\\n return annualInterestRate;\\n }\",\n \"public double taxCharged (){\\n return discountedPrice() * taxRate;\\n }\",\n \"@java.lang.Override\\n public float getVacationAccrualRate() {\\n return vacationAccrualRate_;\\n }\",\n \"public static void updateCalorieRate(Person person) {\\n\\n double calorieRate = person.getCalorieRate();\\n updatePerson(person, \\\"usercaloryrate\\\", calorieRate);\\n }\",\n \"@Override\\r\\n\\tpublic double getRx() {\\n\\t\\treturn 2 * this.a;\\r\\n\\t}\",\n \"public Double getCalories() {\\n return product.getCalories() * weight / 100;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.71553296","0.6922983","0.6765091","0.67244434","0.66893506","0.6533797","0.626141","0.62270856","0.6212958","0.62019116","0.61990136","0.61549115","0.615388","0.6125401","0.6111512","0.6106158","0.6106158","0.6076298","0.6076096","0.60693413","0.60600364","0.6032932","0.6021266","0.60101175","0.5991993","0.5969966","0.5951327","0.59480584","0.5945475","0.59452224","0.59370345","0.5936541","0.59361047","0.59292287","0.5926104","0.5919761","0.5914496","0.5914496","0.5913488","0.5913142","0.59093547","0.59040326","0.590039","0.588048","0.58659536","0.5835368","0.5827305","0.58169806","0.5814439","0.5805468","0.5799583","0.5797921","0.5790822","0.57861185","0.57713056","0.575568","0.5751221","0.5750778","0.5729037","0.5728606","0.5725016","0.5722932","0.5721572","0.5720428","0.57170355","0.5716098","0.5712327","0.5709933","0.5707002","0.5702815","0.5696954","0.5690005","0.5683215","0.5676249","0.5675642","0.5658589","0.56585824","0.56553745","0.5638166","0.5633226","0.56315184","0.5613271","0.5610961","0.56070125","0.5596631","0.5589386","0.5576446","0.55727595","0.55705905","0.5544185","0.55437785","0.5543478","0.55415666","0.5538783","0.5538783","0.55366725","0.5534713","0.5530101","0.55271655","0.5499399"],"string":"[\n \"0.71553296\",\n \"0.6922983\",\n \"0.6765091\",\n \"0.67244434\",\n \"0.66893506\",\n \"0.6533797\",\n \"0.626141\",\n \"0.62270856\",\n \"0.6212958\",\n \"0.62019116\",\n \"0.61990136\",\n \"0.61549115\",\n \"0.615388\",\n \"0.6125401\",\n \"0.6111512\",\n \"0.6106158\",\n \"0.6106158\",\n \"0.6076298\",\n \"0.6076096\",\n \"0.60693413\",\n \"0.60600364\",\n \"0.6032932\",\n \"0.6021266\",\n \"0.60101175\",\n \"0.5991993\",\n \"0.5969966\",\n \"0.5951327\",\n \"0.59480584\",\n \"0.5945475\",\n \"0.59452224\",\n \"0.59370345\",\n \"0.5936541\",\n \"0.59361047\",\n \"0.59292287\",\n \"0.5926104\",\n \"0.5919761\",\n \"0.5914496\",\n \"0.5914496\",\n \"0.5913488\",\n \"0.5913142\",\n \"0.59093547\",\n \"0.59040326\",\n \"0.590039\",\n \"0.588048\",\n \"0.58659536\",\n \"0.5835368\",\n \"0.5827305\",\n \"0.58169806\",\n \"0.5814439\",\n \"0.5805468\",\n \"0.5799583\",\n \"0.5797921\",\n \"0.5790822\",\n \"0.57861185\",\n \"0.57713056\",\n \"0.575568\",\n \"0.5751221\",\n \"0.5750778\",\n \"0.5729037\",\n \"0.5728606\",\n \"0.5725016\",\n \"0.5722932\",\n \"0.5721572\",\n \"0.5720428\",\n \"0.57170355\",\n \"0.5716098\",\n \"0.5712327\",\n \"0.5709933\",\n \"0.5707002\",\n \"0.5702815\",\n \"0.5696954\",\n \"0.5690005\",\n \"0.5683215\",\n \"0.5676249\",\n \"0.5675642\",\n \"0.5658589\",\n \"0.56585824\",\n \"0.56553745\",\n \"0.5638166\",\n \"0.5633226\",\n \"0.56315184\",\n \"0.5613271\",\n \"0.5610961\",\n \"0.56070125\",\n \"0.5596631\",\n \"0.5589386\",\n \"0.5576446\",\n \"0.55727595\",\n \"0.55705905\",\n \"0.5544185\",\n \"0.55437785\",\n \"0.5543478\",\n \"0.55415666\",\n \"0.5538783\",\n \"0.5538783\",\n \"0.55366725\",\n \"0.5534713\",\n \"0.5530101\",\n \"0.55271655\",\n \"0.5499399\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.58961135"},"document_rank":{"kind":"string","value":"43"}}},{"rowIdx":19796,"cells":{"query":{"kind":"string","value":"Computes the relative strength index (RSI) with the given number of periods."},"document":{"kind":"string","value":"public double relativeStrengthIndex(int periods, int t)\n {\n double rs = upward().expMovingAverage(periods, t - 1)/downward().expMovingAverage(periods, t - 1);\n return 100.0 - 100.0/(1 + rs);\n }"},"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":["public double getRSI(double[] hArr) throws Exception {\n\t\tdouble up=0;\n\t\tdouble down=0;\n\t\tSystem.out.println(\"plz\" + hArr.length + \"?\" + period_day);\n\t\tfor(int i = 0; i < period_day; i++) {\n\t\t\t\n\t\t\tif(hArr[i] < hArr[i+1]) {\n\t\t\t\tup += hArr[i+1] - hArr[i];\n\t\t\t}\n\t\t\telse if(hArr[i] > hArr[i+1]){\n\t\t\t\tdown += hArr[i] - hArr[i+1];\n\t\t\t}\n\t\t}\n\t\t\n\t\tdouble RS = (up/period_day) / (down/period_day);\n\t\t\n\t\tdouble RSI = up / (up+down) * 100.0;\n\t\tRSI = 100 - (100 / (1 + RS));\n\t\t//System.out.println(\"RSI test cnt : \" + cnt);\n\t\treturn RSI;\n\t}","@Test\n public void getSecurityPriceTechnicalsRsiTest() throws ApiException, NoSuchMethodException {\n String identifier = null;\n Integer period = null;\n String priceKey = null;\n String startDate = null;\n String endDate = null;\n Integer pageSize = null;\n String nextPage = null;\n ApiResponseSecurityRelativeStrengthIndex response = api.getSecurityPriceTechnicalsRsi(identifier, period, priceKey, startDate, endDate, pageSize, nextPage);\n\n // TODO: test validations\n }","public static void calculateRsiForDataSet(List<CandleStick> rsiCandleSticksList, int duration) {\n\t\tif (duration >= rsiCandleSticksList.size())\n\t\t\treturn;\n\t\tdouble sessionGainSum = 0;\n\t\tdouble sessionLossSum = 0;\n\t\tdouble sessionChange;\n\t\tfor (int i = 1; i <= duration; i++) { // calculate first RSI.\n\t\t\tsessionChange = rsiCandleSticksList.get(i).getClose() - rsiCandleSticksList.get(i - 1).getClose();\n\t\t\tif (sessionChange > 0) {\n\t\t\t\tsessionGainSum += sessionChange;\n\t\t\t} else {\n\t\t\t\tsessionLossSum += sessionChange;\n\t\t\t}\n\t\t}\n\t\tdouble averageGain = sessionGainSum / duration;\n\t\tdouble averageLoss = sessionLossSum / duration;\n\t\tdouble rs = (averageGain / -averageLoss);\n\t\tdouble rsi = 100 - (100 / (1 + rs)); // first RSI.\n\t\trsiCandleSticksList.get(duration).setRsi(rsi);\n\t\tfor (int i = duration + 1; i < rsiCandleSticksList.size(); i++) { // for\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// smoothing\n\t\t\tsessionChange = rsiCandleSticksList.get(i).getClose() - rsiCandleSticksList.get(i - 1).getClose();\n\t\t\tif (sessionChange > 0) {\n\t\t\t\taverageGain = (averageGain * (duration - 1) + sessionChange) / duration;\n\t\t\t\taverageLoss = (averageLoss * (duration - 1) + 0) / duration;\n\t\t\t} else {\n\t\t\t\taverageGain = (averageGain * (duration - 1) + 0) / duration;\n\t\t\t\taverageLoss = (averageLoss * (duration - 1) + sessionChange) / duration;\n\t\t\t}\n\t\t\trs = (averageGain / -averageLoss);\n\t\t\trsi = 100 - (100 / (1 + rs));\n\t\t\trsiCandleSticksList.get(i).setRsi(rsi);\n\t\t}\n\t}","public double rateOfChange(int periods, int t)\n {\n if(periods>t || periods<1)\n throw new IndexOutOfBoundsException(\"ROC(\" + periods + \") is undefined at time \" + t);\n return 100.0*(x[t] - x[t - periods])/x[t - periods];\n }","private float getRsiPotential() {\r\n\t\treturn 1F - (float)(stochRsiCalculator.getCurrentValue()/50.0);\r\n\t}","private void getSA_PeriodForIMR(ScalarIntensityMeasureRelationshipAPI imr){\n ListIterator it =imr.getSupportedIntensityMeasuresIterator();\n while(it.hasNext()){\n DependentParameterAPI tempParam = (DependentParameterAPI)it.next();\n if(tempParam.getName().equalsIgnoreCase(this.SA_NAME)){\n ListIterator it1 = tempParam.getIndependentParametersIterator();\n while(it1.hasNext()){\n ParameterAPI independentParam = (ParameterAPI)it1.next();\n if(independentParam.getName().equalsIgnoreCase(this.SA_PERIOD)){\n saPeriodVector = ((DoubleDiscreteParameter)independentParam).getAllowedDoubles();\n numSA_PeriodVals = saPeriodVector.size();\n }\n }\n }\n }\n }","private int getIndex(int... elements) {\n int index = 0;\n for (int i = 0; i < elements.length; i++) index += elements[i] * Math.pow(universeSize, i);\n return index;\n }","public double alternatingSequence(int n)\r\n {\r\n double sum = 0;\r\n\r\n for (int i = 1; i <= n; i++)\r\n sum += Math.pow(-1, i - 1)/i;\r\n\r\n return sum;\r\n }","public RSIIndicator(IndicatorType type, Symbol symbol, Period period) {\n super(RSIIndicator.class, type, symbol, period);\n }","BigInteger getPeriod();","double indexOfCoincidence(int length, int[] alphabet){\n\t\tdouble n=length;\n\t\tdouble IOC = 0;\n\t\tfor(int i=0;i<alphabet.length;i++){\n\t\t\tIOC+=alphabet[i]*(alphabet[i]-1);\n\t\t}\n\n\t\tdouble something = IOC/(length*(length-1));\n\n\t\tSystem.out.println(something);\n\t\treturn n;\n\t}","private int getPeriodindexFromTime(long time, long period, int periodsPerSpan) {\n int index = (int) (time / period);\n return index;\n }","public abstract HalfOpenIntRange approximateSpan();","private double computeSxx(List<Integer> intList, double mean) {\n double total = 0;\n for (Integer i : intList) {\n total += Math.pow((i - mean), 2);\n }\n return total;\n }","private static long nPr(int[] frequency, int i, int n, int r)\n { \n //nao ha mais posicoes disponiveis para incluir elementos de permutacao\n if (r == 0) return 1;\n \n //retornara o calculo de nPr\n long npr = 0;\n \n //numero de elementos que ainda sobrarao, no proximo nivel de recursao,\n //para serem distribuidos pelas posicoes restantes\n n = n - frequency[i]; \n \n //chama o metodo recursivamente enquanto o numero de elementos que \n //restarem para serem distribuidos for maior ou igual ao numero de \n //posicoes disponiveis no proximo nivel de recursao\n for (\n int assignedsElements = Math.min(r, frequency[i]); \n (assignedsElements >= 0) && (n >= r - assignedsElements);\n assignedsElements--\n )\n \n //nCr() retorna o numero de maneiras que se pode distribuir \n //<assignedsElements> elementos de permutacao em <r> posicoes\n //Eh multiplicado pelas permutacoes que ainda se pode fazer nas \n //posicoes restantes com os elementos restantes\n npr += nCr(r, assignedsElements)\n * \n nPr(frequency, i+1, n, r - assignedsElements);\n \n return npr;\n }","public double integrate(long n) {\n long inside = 0;\n for (long i = 0; i < n; i++) {\n if (isInside(generateU01())) {\n ++inside;\n }\n }\n\n return inside / (double) n;\n }","protected double residual(final Solution<P> currentEstimation, final int i) {\n //Model fitted internally is equal to:\n //Pr (dBm) = 10 * log(Pte * k^n / d^n) = 10*n*log(k) + 10*log(Pte) - 5*n*log(d^2)\n //where:\n //Pr is received, expressed in dBm\n //Pte is equivalent transmitted power, expressed in dBm\n //k is a constant equal to k = c^2 / (pi * f)^2, where c is speed of light\n //and d is equal to distance between fingerprint and estimated position\n final RssiReadingLocated<S, P> reading = mReadings.get(i);\n final double frequency = reading.getSource().getFrequency();\n\n final double pathLossExponent = currentEstimation.getEstimatedPathLossExponent();\n\n //compute k as the constant part of the isotropic received power formula\n //so that: Pr = Pte*k^n/d^n\n final double k = RssiRadioSourceEstimator.SPEED_OF_LIGHT /\n (4.0 * Math.PI * frequency);\n final double kdB = 10.0 * pathLossExponent * Math.log10(k);\n\n //get distance from estimated radio source position and reading position\n final P readingPosition = reading.getPosition();\n final P radioSourcePosition = currentEstimation.getEstimatedPosition();\n\n final double sqrDistance = radioSourcePosition.sqrDistanceTo(readingPosition);\n\n final double transmittedPowerdBm = currentEstimation.\n getEstimatedTransmittedPowerdBm();\n\n //compute expected received power assuming isotropic transmission\n //and compare agains measured RSSI at fingerprint location\n final double expectedRSSI = kdB + transmittedPowerdBm -\n 5.0 * pathLossExponent * Math.log10(sqrDistance);\n final double rssi = reading.getRssi();\n\n return Math.abs(expectedRSSI - rssi);\n }","private int d(final int n) {\r\n Set<Long> set = new Factors(n).getProperDivisors();\r\n long sum = 0;\r\n for (long i : set) {\r\n sum += i;\r\n }\r\n return (int) sum;\r\n }","public static double sum(double n) {\n\t\tdouble sum = 0;\t// Sum of the series\n\t\tfor (double i = 1; i <= n; i++) {\n\t\t\tsum += i / (i + 1);\n\t\t}\n\t\treturn sum;\n\t}","public static final double internalRateOfReturn (\n double irrEstimate,\n double [ ] cashFlows )\n //////////////////////////////////////////////////////////////////////\n {\n double irr = irrEstimate;\n\n double delta = -irr * 0.1;\n\n double oldNpv = 0.0;\n\n while ( true )\n {\n double npv = netPresentValue ( irr, cashFlows );\n\n if ( npv == 0.0 )\n {\n return irr;\n }\n\n if ( oldNpv < 0.0 )\n {\n if ( npv > 0.0 )\n {\n delta *= -0.9;\n }\n else if ( npv > oldNpv )\n {\n delta *= 1.1;\n }\n else if ( npv < oldNpv )\n {\n delta = -delta;\n }\n else\n {\n delta = 0.0;\n }\n }\n else if ( oldNpv > 0.0 )\n {\n if ( npv < 0.0 )\n {\n delta *= -0.9;\n }\n else if ( npv < oldNpv )\n {\n delta *= 1.1;\n }\n else if ( npv > oldNpv )\n {\n delta = -delta;\n }\n else\n {\n delta = 0.0;\n }\n }\n\n/*\nSystem.out.println ( \"irr = \" + irr + \", oldNpv = \" + oldNpv + \", npv = \" + npv + \", delta = \" + delta );\n\ntry{\nnew BufferedReader ( new InputStreamReader ( System.in ) ).readLine ( );\n}catch (Exception x ) { }\n*/\n\n if ( delta == 0.0 )\n {\n return irr;\n }\n\n irr += delta;\n\n oldNpv = npv;\n }\n }","public int periodIndex (\n\t\tfinal int iDate)\n\t\tthrows java.lang.Exception\n\t{\n\t\tint i = 0;\n\n\t\tfor (org.drip.analytics.cashflow.CompositePeriod period : periods()) {\n\t\t\tif (period.contains (iDate)) return i;\n\n\t\t\t++i;\n\t\t}\n\n\t\tthrow new java.lang.Exception (\"BondStream::periodIndex => Input date not in the period set range!\");\n\t}","public double basis()\n\t{\n\t\treturn _lsPeriod.get (0).basis();\n\t}","int getPeriod();","static double root(double x, int n) {\n double err = Double.MAX_VALUE;\n\n double l = 1;\n double r = x;\n\n if (x >= 0 && x <= 1){\n l = x;\n r = 1;\n }\n\n double cur = (l + r)/2;\n\n while (err > OK_ERROR) {\n\n\n double powerNum = Math.pow(cur, n);\n\n err = Math.abs(powerNum - x);\n\n if (powerNum > x) {\n r = cur;\n } else {\n l = cur;\n }\n\n cur = (l + r)/2;\n }\n\n return cur;\n }","public RankCircuit getRankCircuit(SInt[] numerators, SInt[] denominators, SInt numerator, SInt denominator, SInt rank);","@Override\n\tpublic int resid() {\n\t\tfinal float rate = mProgress/mPeroid;\n\t\tint index = (int)(rate-(int)rate)*mArry.length;\n\t\tif(index >= mArry.length){\n\t\t\treturn mArry.length-1;\n\t\t}\n\t\treturn index;\n\t}","public static int calculateSignalLevel(int rssi, int numLevels) {\n if (rssi <= MIN_RSSI) {\n return 0;\n } else if (rssi >= MAX_RSSI) {\n return numLevels - 1;\n } else {\n float inputRange = (MAX_RSSI - MIN_RSSI);\n float outputRange = (numLevels - 1);\n return (int) ((float) (rssi - MIN_RSSI) * outputRange / inputRange);\n }\n }","public ArrayList<Integer> solve(int r, ArrayList<Integer> xs) {\n\t\t\t int minElem = Integer.MAX_VALUE;\n\t\t\t int minElemIdx = -1;\n\t\t\t for(int i= 0 ; i<xs.size();i++){\n\t\t\t\t if(xs.get(i) < minElem){\n\t\t\t\t\t minElem = xs.get(i);\n\t\t\t\t\t minElemIdx = i;\n\t\t\t\t }\n\t\t\t }\n\t\t\t int currCount = r/minElem;\n\t\t\t Integer[] resArr = new Integer[currCount];\n\t\t\t \n\t\t\t for(int k=0;k<currCount;k++){\n\t\t\t\t resArr[k] = minElemIdx;\n\t\t\t }\n\t\t\t int resSum = currCount*minElem;\n\t\t\t int subIdx = 0; //index for possible \n\t\t\t for(int i=0;i<=minElemIdx && subIdx<currCount;){\n\t\t\t\t if(xs.get(i) <= (r-(resSum-minElem))){\n\t\t\t\t\t\t resArr[subIdx++] = i;\n\t\t\t\t\t resSum = resSum-minElem+xs.get(i);\n\t\t\t\t }else{\n\t\t\t\t\t i++;\n\t\t\t\t }\n\t\t\t }\n\t\t\t return new ArrayList<Integer>(Arrays.asList(resArr));\n\t\t }","public int getHowManyInPeriod();","double noireCyclicValue(double x, double period) {\n double val = (Math.exp(Math.sin(x*x/2000.0*Math.PI)) - 0.36787944)*108.0;\n double variance = 0.001;\n \n return (variance*val);\n }","private Double getAdjRelativeRate(CurrencyType curr, int asOfDate, int interval) {\n CurrencySnapshot snap = curr.getSnapshotForDate(asOfDate);\n if (snap != null) {\n int snapDate = snap.getDateInt();\n // System.err.println(curr+\" \"+asOfDate+\" \"+interval+\" \"+snap);\n // First look in interval before the date: (T-I .. T]\n if ((DateUtil.incrementDate(asOfDate, 0, 0, -interval) < snapDate) && (snapDate <= asOfDate)) {\n return 1.0 / curr.adjustRateForSplitsInt(snapDate, snap.getRate());\n }\n // Now look in interval after the date: [T .. T+I)\n snap = curr.getSnapshotForDate(asOfDate + interval);\n if ((snap != null)\n && (asOfDate <= snapDate)\n && (snapDate < DateUtil.incrementDate(asOfDate, 0, 0, interval))) {\n return 1.0 / curr.adjustRateForSplitsInt(snapDate, snap.getRate());\n }\n }\n // No rate in interval\n return Double.NaN;\n }","private Rational computeDirectly() {\n BigInteger _26390k = _26390.multiply(BigInteger.valueOf(start));\n BigInteger _24591257856pk = _24591257856.pow(start);\n\n Rational sum = Rational.ZERO;\n\n for (int k = start; k < end; k++) {\n BigInteger num = Factorial.verified(BigInteger.valueOf(k << 2));\n num = num.multiply(_1103.add(_26390k));\n\n BigInteger den = Factorial.verified(BigInteger.valueOf(k)).pow(4);\n den = den.multiply(_24591257856pk);\n\n _26390k = _26390k.add(_26390);\n _24591257856pk = _24591257856pk.multiply(_24591257856);\n\n sum = sum.add(Rational.valueOf(num, den).dropTo(context));\n sum = sum.dropTo(context);\n }\n return sum;\n }","static int nStairsRecur(int stairs, int hops) {\r\n if(stairs < 0) {\r\n return -1;\r\n }\r\n if(stairs == 0 || stairs == 1) {\r\n return 1;\r\n }\r\n int res = 0;\r\n for(int i = 1; i <= hops && i <= stairs; i++) {\r\n res += nStairsRecur(stairs - i, hops);\r\n }\r\n return res;\r\n }","abstract public int getIncomeSegment( int hhIncomeInDollars );","private int integrator(int[] inputs, int i){\n\t\tint synapSum = 0;\n\t\tint l = inputs.length;\n\t\tfor(int j = 0 ; j < l ; j++)\n\t\t\tsynapSum += inputs[j] * synapses[j*l+i];\n\t\treturn synapSum;\n\t}","double getPeriod();","public abstract int mo12579RS(int i);","public double getEstimate()\n {\n assert list.length > 0: \"The list cannot be empty\";\n int R = list[0];\n \n //count how many are smaller or equal to R\n double counter = 0;\n for (int i = 1; i < k; i++) {\n if (list[i]<R)\n counter++;\n }\n return -Math.pow(2, R - 1) * Math.log(counter / (k-1)); }","public abstract double calcSA();","int getRadix(Object elementID) throws Exception;","public static int getPeriod(int i) {\n int count = 1;\n int mod = 10 % i;\n //If i is not divisible by 2 or 5, compute.\n //If i is divisible by 2 or 5, it's period is had in a smaller number\n if(i%2!=0 && i%5 !=0) {\n //While mod is not 1, multiply by 10 and mod with i, increment period.\n while(mod != 1) {\n mod = mod * 10;\n mod = mod % i;\n count++;\n }\n }\n return count;\n \n }","public static int calcNumBursts(final int numTimeseries) {\n int numVectors = 0;\n for (int i = 1; i <= numTimeseries; ++i) {\n numVectors += (i + (CORRELATION_NUM_PIPES - 1)) / CORRELATION_NUM_PIPES;\n }\n\n return (numVectors + (CORRELATION_NUM_VECTORS_PER_BURST - 1))\n / CORRELATION_NUM_VECTORS_PER_BURST;\n }","double getSignalPeriod();","static int findInteger(int arr[], int n) \n { \n int neg = 0, pos = 0; \n int sum = 0; \n \n for (int i = 0; i < n; i++) \n { \n sum += arr[i]; \n \n // If negative, then increment \n // neg count. \n if (arr[i] < 0) \n neg++; \n \n // Else increment pos count.. \n else\n pos++; \n } \n \n return (sum / Math.abs(neg - pos)); \n }","public double getResult(){\n double x;\n x= (3+Math.sqrt(9-4*3*(1-numberOfStrands)))/(2*3);\n if(x<0){\n x= (3-Math.sqrt(9-(4*3*(1-numberOfStrands))))/6;\n\n }\n numberOfLayers=(float) x;\n diameter=((2*numberOfLayers)-1)*strandDiameter;\n phaseSpacing=(float)(Math.cbrt(ab*bc*ca));\n\n netRadius=diameter/2;\n\n\n\n //SGMD calculation\n float prod=1;\n for(int rand=0;rand<spacingSub.size();rand++){\n prod*=spacingSub.get(rand);\n }\n\n //SGMD calculation\n sgmd=Math.pow((Math.pow(netRadius,subconductors)*prod*prod),1/(subconductors*subconductors));\n capacitance=((8.854e-12*2*3.14)/Math.log(phaseSpacing/sgmd));\n Log.d(\"How\",\"phase spacing:\"+phaseSpacing+\" sgmd=\"+sgmd);\n return capacitance*1000;\n\n\n }","public boolean irreducibleQuadratic(int rIndex, int sIndex) {\n for (int k = 0; k < cardinality() ; k++) {\n //System.out.println(\"rIndex = \" + rIndex + \", sIndex = \" + sIndex + \", k = \" + k);\n if (timesInt(k,k) == plusInt(timesInt(rIndex, k), sIndex)) return false;\n }\n return true;\n }","double rpow(int x, int n) {\r\n\t\tif (n == 0)\r\n\t\t\treturn 1.0;\r\n\t\treturn x * rpow(x, n - 1);\r\n\t}","private static int getTotient(int n) {\n int result = n;\n for(int i=2; i*i <=n; i++) {\n if(n % i == 0) {\n while(n % i == 0) n /= i;\n result -= result/i;\n }\n }\n if(n > 1) result -= result/n;\n return result;\n }","long getSamplePeriod();","@Test\n\tpublic void testUniformRWR() {\n\t\tlog.debug(\"Test logging\");\n\t\tint maxT = 10;\n\t\t\n\t\tAnnotatedGraph<String> g = brGraphs.get(0);\n\t\t\n\t\tTreeMap<String,Double> startVec = new TreeMap<String,Double>();\n\t\tstartVec.put(\"r0\",1.0);\n\t\tMap<String,Double> baseLineVec = myRWR(startVec,g,maxT);\n\t\tTreeMap<String,Double>uniformWeightVec = new TreeMap<String,Double>();\n\t\tuniformWeightVec.put(\"fromb\",1.0);\n\t\tuniformWeightVec.put(\"tob\",1.0);\n\t\tuniformWeightVec.put(\"fromr\",1.0);\n\t\tuniformWeightVec.put(\"tor\",1.0);\n\t\tuniformWeightVec.put(\"restart\",1.0);\n\t\tMap<String,Double> newVec = srw.rwrUsingFeatures(g, startVec, uniformWeightVec);\n\t\tequalScores(baseLineVec,newVec);\n\t}","int getStrength(Unit unit);","private void atimes( int n, double x[], double r[], boolean itrnsp, double sa[], int[] ija ) {\n if (itrnsp)\n dsprstx(sa, ija, x, r, n);\n else\n dsprsax(sa, ija, x, r, n);\n }","public double computeExpectedSW(int numberOfSellers, List<Integer> fixedSellerIdx)\r\n\t{\r\n\t\tdouble expectedSW = 0.;\r\n\t\t\r\n\t\tif( numberOfSellers == 0 )\r\n\t\t{\r\n\t\t\treturn 0.;\r\n\t\t}\r\n\t\telse\r\n\t\t{\r\n\t\t\tfor(int t = getMinNumberOfTuples(numberOfSellers-1); t <= getMaxNumberOfTuples(numberOfSellers-1); ++t)\r\n\t\t\t\tif( fixedSellerIdx.contains(numberOfSellers-1) )\r\n\t\t\t\t\texpectedSW += (getValue()*_actuallyAllocatedTuples.get(numberOfSellers-1) + computeExpectedSW( numberOfSellers - 1, fixedSellerIdx))\r\n\t\t\t\t\t *(1./(getMaxNumberOfTuples(numberOfSellers-1)-getMinNumberOfTuples(numberOfSellers-1)+1));\r\n\t\t\t\telse\r\n\t\t\t\t\texpectedSW += ((getValue()-getCost(numberOfSellers-1))*t + computeExpectedSW( numberOfSellers - 1, fixedSellerIdx))\r\n\t\t\t\t\t\t\t *(1./(getMaxNumberOfTuples(numberOfSellers-1)-getMinNumberOfTuples(numberOfSellers-1)+1));\r\n\t\t\t\r\n\t\t\treturn expectedSW;\r\n\t\t}\r\n\t}","private double werteRekursivAus(int n) {\n double zwischenwert = 0;\n\n // Basisfall\n if (n <= 0) {\n return 0;\n }\n\n // Fall I\n if (n > 0) {\n zwischenwert = 1 / (werteRekursivAus(n - 1)) + werte[werte.length - n];\n }\n\n // Fall II\n if (n == 1) {\n zwischenwert = 1 / zwischenwert + werte[werte.length - 1];\n }\n return zwischenwert;\n }","long getRsum(int n, int i, int k){\r\n return n-i>=k ? (n-i-k)+ssum(k-1): ssum(k-1) - ssum(k-n+i);\r\n }","public double computeSupport(double N) {\r\n\t\treturn counter / N;\r\n\t}","public double accumValue(int yearsElapsed) \n {\n double formulaPart2 = 1; // initialize the var that will store the value of (1 + r/n)^nt\n int timePerYear = 0; // initialize the var that will store how frequently the interest is calculated in a year.\n \n if (compMode.equalsIgnoreCase(\"daily\"))\n {\n timePerYear = 365; // For a daily compounded deposit, the interest is calculated 365 times a year\n }\n else if(compMode.equalsIgnoreCase(\"quarterly\"))\n {\n timePerYear = 4; // For a quarterly compounded deposit, the interest is calculated 4 times a year\n }\n else if(compMode.equalsIgnoreCase(\"monthly\"))\n {\n timePerYear = 12; // For a monthly compounded deposit, the interest is calculated 12 times a year\n }\n \n // a loop to calculate the power in (1 + r/n)^nt\n for (int i = 0; i < timePerYear * yearsElapsed; i++)\n {\n // formulaPart2 gets the value of itelf multiplied nt times\n formulaPart2 = formulaPart2 * (1 + interest/ 100 / timePerYear);\n }\n \n return principal * formulaPart2; // return p(1 + r/n)^nt\n }","private double getSignal(double[] params, StejskalTannerScheme scheme, int i) {\r\n\r\n\t\tif (scheme.zero(i)) {\r\n\t\t\treturn 1;\r\n\t\t}\r\n\r\n\t\tdouble signal;\r\n\r\n\t\tdouble R = params[1];\r\n\t\tdouble b = scheme.getB_Value(i);\r\n\t\tdouble DELTA = scheme.getDELTA(i);\r\n\t\tdouble delta = scheme.getDelta(i);\r\n \tdouble modG = scheme.getModG(i);\r\n\t\tdouble[] ghat = scheme.getG_Dir(i);\r\n\t\tdouble[] G = new double[3];\r\n\t\tfor (int j = 0; j < G.length; j++) {\r\n\t\t\tG[j] = ghat[j] * modG;\r\n\t\t}\r\n\r\n\t\tdouble[] am1 = new double[am.length];\r\n\r\n\t\tfor (int i1 = 0; i1 < am.length; i1++) {\r\n\t\t\tam1[i1] = am[i1] / R;\r\n\r\n\t\t}\r\n\r\n\t\t/** calculating the sum for the perpendicular intra-cellular signal */\r\n\t\tdouble sum = 0;\r\n\t\tfor (int i1 = 0; i1 < am1.length; i1++) {\r\n\t\t\t// d*am^2\r\n\t\t\tdouble dam = params[0] * am1[i1] * am1[i1];\r\n\t\t\t// -d*am^2*delta\r\n\t\t\tdouble e11 = -dam * delta;\r\n\t\t\t// -d*am^2*DELTA\r\n\t\t\tdouble e2 = -dam * DELTA;\r\n\t\t\t// -d*am^2*(DELTA-delta)\r\n\t\t\tdouble dif = DELTA - delta;\r\n\t\t\tdouble e3 = -dam * dif;\r\n\t\t\t// -d*am^2*(DELTA+delta)\r\n\t\t\tdouble plus = DELTA + delta;\r\n\t\t\tdouble e4 = -dam * plus;\r\n\t\t\t// numerator of the fraction\r\n\t\t\tdouble nom = 2 * dam * delta - 2 + (2 * Math.exp(e11))\r\n\t\t\t\t\t+ (2 * Math.exp(e2)) - Math.exp(e3) - Math.exp(e4);\r\n\r\n\t\t\t// denominator\r\n\t\t\tdouble denom = dam * dam * am1[i1] * am1[i1]\r\n\t\t\t\t\t* (R * R * am1[i1] * am1[i1] - 1);\r\n\r\n\t\t\t// the sum of the fraction\r\n\t\t\tsum += (nom / denom);\r\n\t\t}\r\n\t\t// the perpendicular component\r\n\t\tdouble lperp = (-2 * GAMMA * GAMMA * sum);\r\n\r\n\t\t// parallel component\r\n\t\tdouble lpar = -b * 1/(modG*modG) * params[0];\r\n\r\n\t\t// the isotropic restricted signal\r\n\t\ttry {\r\n\t\t\tsignal = Math.sqrt(Math.PI) * 1\r\n\t\t\t\t\t/ (2 * modG * Math.sqrt(lperp - lpar))\r\n\t\t\t\t\t* Math.exp(modG * modG * lperp)\r\n\t\t\t\t\t* ErrorFunction.erf(modG * Math.sqrt((lperp - lpar)));\r\n\t\t} catch (ErrorFunctionException erfe) {\r\n\t\t\tthrow new LoggedException(erfe);\r\n\r\n\t\t}\r\n\r\n\t\treturn signal;\r\n\t}","static double harmonicSum(int n) {\n\t\tif (n==1) \n\t\t\treturn 1.0; \n\t\telse\n\t\t{\n\t\t\treturn 1/n + harmonicSum(n-1);\n\t\t}\n\t}","private double snrm( int n, double sx[], int itol ) {\n int isamax;\n double ans;\n\n if (itol <= 3) {\n ans = 0.0;\n for( int i = 0; i < n; i++ )\n ans += sx[i] * sx[i];\n return Math.sqrt(ans);\n } else {\n isamax = 0;\n for( int i = 0; i < n; i++ ) {\n if (Math.abs(sx[i]) > Math.abs(sx[isamax]))\n isamax = i;\n }\n return Math.abs(sx[isamax]);\n }\n }","@Override\n\tprotected int getActiveCount(long units) {\n\t\treturn units % period == 0 ? 1 : 0;\n\t}","private int rs(final int x) {\n assert(! leaf(x));\n return Math.min(2*x+2, n);\n }","protected final int calculateInterst1(int pr){\n\t\t return pr*10*1/100;\n\t }","public double updatePeriodic()\n {\n double Angle = getRawAngle();\n\n if (FirstCall)\n {\n AngleAverage = Angle;\n }\n\n AngleAverage -= AngleAverage / NumAvgSamples;\n AngleAverage += Angle / NumAvgSamples;\n\n return (AngleAverage);\n }","private int advance(int[] n, int i) {\n i += n[i];\n i%=len;\n while (i<0) i+=len;\n return i;\n }","public static double termSlotwaarde(final int n, final int t, final double i)\n\t{\n\t\tdouble n1 = Math.floor(n * t);\n\t\tdouble r = 1d + termPercentage(t, t) / HON_PERCENT;\n\t\treturn Math.pow(r, n1);\n\t}","public long getSamplingPeriod();","public static double totalSavings(double rI, double monthlySSI, double retiredReturn, double retiredYears) {\r\n\t\treturn (rI - monthlySSI) * (1 - (1 / Math.pow((1 + (retiredReturn / 100) / 12), (12 * retiredYears))))\r\n\t\t\t\t/ (retiredReturn / 100 / 12);\r\n\t}","private float calculGainNumerical(KnowledgeBase kb, int attIndex) {\r\n\t\tArrayList<AttributeValue<Float>> possibleValue =findPossibleValueNumerical(kb,attIndex);\r\n\t\tArrayList<ArrayList<ArrayList<Integer>>> multiple_counters2D = new ArrayList<ArrayList<ArrayList<Integer>>>();\r\n\t\tfor(int i=0;i<possibleValue.size()-1;i++){\r\n\t\t\tmultiple_counters2D.add(kb.count2DNumeric(possibleValue.get(i),attIndex));\t\t\r\n\t\t}\r\n\t\tArrayList<Integer> counter1D = kb.count(kb.getIndexClass());\r\n\t\tfloat gini1D = calculImpurity(kb.getSamples().size(),counter1D);\r\n\t\tint indexBestSplit = find_bestSplit(kb,attIndex,multiple_counters2D);\r\n\t\t///\r\n\t\tArrayList<ArrayList<Integer>> counter2D = kb.count2DNumeric(attIndex, kb.getIndexClass(),possibleValue.get(indexBestSplit));\r\n\t\tfloat gini2D = calculImpurity2DForNumerical(kb,attIndex,counter2D,possibleValue.get(indexBestSplit));\r\n\t\treturn gini1D - gini2D;\r\n\t}","public double findTSS(){\n\t\t\n\t\tdouble dMean; double dOut;\n\t\t\n\t\t//loading response variable\n\t\tdMean = 0;\n\t\tfor(double d:rgdY){\n\t\t\tdMean+=d;\n\t\t}\n\t\tdMean=dMean/((double) rgdY.length);\n\t\tdOut = 0;\n\t\tfor(double d:rgdY){\n\t\t\tdOut+=pow(d-dMean,2);\n\t\t}\n\t\treturn dOut;\n\t}","public void initPeriodsSearch() {\n\n\t\t//init fundamentalFreq\n\t\tcalculatefundamentalFreq();\n\n\t\t//set the first search area\n\t\tfinal double confidenceLevel = 5 / 100.;\n\t\tnextPeriodSearchingAreaEnd = (int) Math.floor( hzToPeriod( fundamentalFreq ) * ( 1 + confidenceLevel ) );\n\t}","private double getUnitWidth(int index)\n {\n return _weights.get(index) / _totalWeight;\n }","private void calc_q0(double[] llr) {\n\t\tfor (int i=noffs; i<llr.length; i++)\n\t\t\tq0[i-noffs] = Math.exp(llr[i]) / (1 + Math.exp(llr[i])); // beliefs\t\t\t\n\t}","public int[] getAsSRational(int index) {\n return ((int[][])data)[index];\n }","public static int numXTriangle(int np, double[] angles){\n\t\t\n\t\tint num = 0;\n\t\tfor(int i=0;i<np;i++){\n\t\t\tdouble theUpper = angles[i]+180;\n\t\t\tif(theUpper>360) {theUpper = 360;}\n\t\t\t\n\t\t\tint j = binarySearchLessMax(angles, i+1, angles.length-1, theUpper);\n\t\t\t\n\t\t\t//\t\t\tSystem.out.println(angles[j]);\t\n\t\t\tif(j-i>1){\n\t\t\t\tnum += (j-i-1);\n\t\t\t}\n\t\t}\n\t\treturn num;\n\t}","public double calculateRate() {\n\t\tdouble rate = 0;\n\t\tfor (int i = 0; i < upgrades.size(); i++) {\n\t\t\trate += upgrades.get(i).getProduction();\n\t\t}\n\t\tbrain.setRate(rate);\n\t\treturn rate;\n\t}","BigInteger getRA();","public abstract double getValue(R1Interval interval);","public static int scoreVPs(int[] symbols) {\r\n\t\tint numSets, total = 0;\r\n\t\tnumSets = symbols[0];\r\n\t\ttotal = symbols[0] * symbols[0];\r\n\t\tfor (int i = 1; i < 3; i++) {\r\n\t\t\tif (symbols[i] < numSets)\r\n\t\t\t\tnumSets = symbols[i];\r\n\t\t\ttotal += symbols[i] * symbols[i];\r\n\t\t}\r\n\t\ttotal += numSets * 7;\r\n\t\treturn total;\r\n\t}","static long nPolyNTime(int[] n) {\n int temp = n.length;\n long sum = 0;\n if(n == null || n.length == 0) return -1;\n for(int i = 0; i < n.length; ++i) {\n while(temp --> 0) {\n for(int j = 0; j < n.length; ++j) {\n sum += n[i] + n[j];\n }\n }\n }\n return sum;\n }","public abstract int getIndexForAngle(float paramFloat);","public static final double annualSavingsNeeded (\n double f,\n double r,\n double t )\n //////////////////////////////////////////////////////////////////////\n {\n return f * r / ( Math.pow ( 1.0 + r, t ) - 1.0 );\n }","protected static Object[] calcGainRatios(InstanceList ilist, int[] instIndices, int minNumInsts)\n {\n int numInsts = instIndices.length;\n Alphabet dataDict = ilist.getDataAlphabet();\n LabelAlphabet targetDict = (LabelAlphabet) ilist.getTargetAlphabet();\n double[] targetCounts = new double[targetDict.size()];\n\n // Accumulate target label counts and make sure\n // the sum of each instance's target label is 1\n for (int ii = 0; ii < numInsts; ii++) {\n Instance inst = ilist.get(instIndices[ii]);\n Labeling labeling = inst.getLabeling();\n double labelWeightSum = 0;\n for (int ll = 0; ll < labeling.numLocations(); ll++) {\n int li = labeling.indexAtLocation(ll);\n double labelWeight = labeling.valueAtLocation(ll);\n labelWeightSum += labelWeight;\n targetCounts[li] += labelWeight;\n }\n assert(Maths.almostEquals(labelWeightSum, 1));\n }\n\n // Calculate the base entropy Info(D) and the the \n // label distribution of the given instances\n double[] targetDistribution = new double[targetDict.size()];\n double baseEntropy = 0;\n for (int ci = 0; ci < targetDict.size(); ci++) {\n double p = targetCounts[ci] / numInsts;\n targetDistribution[ci] = p;\n if (p > 0)\n baseEntropy -= p * Math.log(p) / log2;\n }\n\n LabelVector baseLabelDistribution = new LabelVector(targetDict, targetDistribution);\n double infoGainSum = 0;\n int totalNumSplitPoints = 0;\n double[] passTestTargetCounts = new double[targetDict.size()];\n // Maps feature index -> Hashtable, and each table \n // maps (split point) -> (info gain, split ratio)\n HashMap[] featureToInfo = new HashMap[dataDict.size()]; \n \n // Go through each feature's split points in ascending order\n for (int fi = 0; fi < dataDict.size(); fi++) {\n \n if ((fi+1) % 1000 == 0)\n logger.info(\"at feature \" + (fi+1) + \" / \" + dataDict.size());\n \n featureToInfo[fi] = new HashMap();\n Arrays.fill(passTestTargetCounts, 0);\n // Sort instances on this feature's values\n instIndices = sortInstances(ilist, instIndices, fi);\n\n // Iterate through the sorted instances\n for (int ii = 0; ii < numInsts-1; ii++) {\n Instance inst = ilist.get(instIndices[ii]);\n Instance instPlusOne = ilist.get(instIndices[ii+1]);\n FeatureVector fv1 = (FeatureVector) inst.getData();\n FeatureVector fv2 = (FeatureVector) instPlusOne.getData();\n double lower = fv1.value(fi);\n double higher = fv2.value(fi);\n\n // Accumulate the label weights for instances passing the test\n Labeling labeling = inst.getLabeling();\n for (int ll = 0; ll < labeling.numLocations(); ll++) {\n int li = labeling.indexAtLocation(ll);\n double labelWeight = labeling.valueAtLocation(ll);\n passTestTargetCounts[li] += labelWeight;\n }\n\n if (Maths.almostEquals(lower, higher) || inst.getLabeling().toString().equals(instPlusOne.getLabeling().toString()))\n continue;\n\n // For this (feature, spilt point) pair, calculate the \n // info gain of using this pair to split insts into those \n // with value of feature <= p versus > p\n totalNumSplitPoints++;\n double splitPoint = (lower + higher) / 2;\n double numPassInsts = ii+1;\n \n // If this split point creates a partition \n // with too few instances, ignore it\n double numFailInsts = numInsts - numPassInsts;\n if (numPassInsts < minNumInsts || numFailInsts < minNumInsts)\n continue;\n \n // If all instances pass or fail this test, it is useless\n double passProportion = numPassInsts / numInsts;\n if (Maths.almostEquals(passProportion, 0) || Maths.almostEquals(passProportion, 1))\n continue; \n \n // Calculate the entropy of instances passing and failing the test\n double passEntropy = 0;\n double failEntropy = 0;\n double p;\n \n for (int ci = 0; ci < targetDict.size(); ci++) {\n if (numPassInsts > 0) {\n p = passTestTargetCounts[ci] / numPassInsts;\n if (p > 0)\n passEntropy -= p * Math.log(p) / log2;\n }\n if (numFailInsts > 0) {\n double failTestTargetCount = targetCounts[ci] - passTestTargetCounts[ci];\n p = failTestTargetCount / numFailInsts;\n if (p > 0)\n failEntropy -= p * Math.log(p) / log2;\n }\n }\n \n // Calculate Gain(D, T), the information gained \n // by testing on this (feature, split-point) pair\n double gainDT = baseEntropy \n - passProportion * passEntropy\n - (1-passProportion) * failEntropy; \n infoGainSum += gainDT;\n // Calculate Split(D, T), the split information\n double splitDT = \n - passProportion * Math.log(passProportion) / log2\n - (1-passProportion) * Math.log(1-passProportion) / log2;\n // Calculate the gain ratio\n double gainRatio = gainDT / splitDT;\n featureToInfo[fi].put(Double.valueOf(splitPoint),\n new Point2D.Double(gainDT, gainRatio));\n } // End loop through sorted instances\n } // End loop through features\n\n // For each feature's split point with at least average gain, \n // get the maximum gain ratio and the associated split point\n // (using the info gain as tie breaker)\n double[] gainRatios = new double[dataDict.size()];\n double[] splitPoints = new double[dataDict.size()];\n int numSplitsForBestFeature = 0;\n\n // If all feature vectors are identical or no splits are worthy, return all 0s\n if (totalNumSplitPoints == 0 || Maths.almostEquals(infoGainSum, 0))\n return new Object[] {gainRatios, splitPoints, Double.valueOf(baseEntropy), \n baseLabelDistribution, Integer.valueOf(numSplitsForBestFeature)};\n\n double avgInfoGain = infoGainSum / totalNumSplitPoints;\n double maxGainRatio = 0;\n double gainForMaxGainRatio = 0; // tie breaker\n \n int xxx = 0;\n \n \n for (int fi = 0; fi < dataDict.size(); fi++) {\n double featureMaxGainRatio = 0;\n double featureGainForMaxGainRatio = 0;\n double bestSplitPoint = Double.NaN;\n\n for (Iterator iter = featureToInfo[fi].keySet().iterator(); iter.hasNext(); ) {\n Object key = iter.next();\n Point2D.Double pt = (Point2D.Double) featureToInfo[fi].get(key);\n double splitPoint = ((Double) key).doubleValue();\n double infoGain = pt.getX();\n double gainRatio = pt.getY();\n\n if (infoGain >= avgInfoGain) {\n if (gainRatio > featureMaxGainRatio || (gainRatio == featureMaxGainRatio && infoGain > featureGainForMaxGainRatio)) {\n featureMaxGainRatio = gainRatio;\n featureGainForMaxGainRatio = infoGain;\n bestSplitPoint = splitPoint;\n }\n }\n else {\n xxx++;\n }\n \n }\n assert(! Double.isNaN(bestSplitPoint));\n gainRatios[fi] = featureMaxGainRatio;\n splitPoints[fi] = bestSplitPoint;\n\n if (featureMaxGainRatio > maxGainRatio || (featureMaxGainRatio == maxGainRatio && featureGainForMaxGainRatio > gainForMaxGainRatio)) {\n maxGainRatio = featureMaxGainRatio;\n gainForMaxGainRatio = featureGainForMaxGainRatio;\n numSplitsForBestFeature = featureToInfo[fi].size();\n }\n }\n \n logger.info(\"label distrib:\\n\" + baseLabelDistribution);\n logger.info(\"base entropy=\" + baseEntropy + \", info gain sum=\" + infoGainSum + \", total num split points=\" + totalNumSplitPoints + \", avg info gain=\" + avgInfoGain + \", num splits with < avg gain=\" + xxx);\n \n return new Object[] {gainRatios, splitPoints, Double.valueOf(baseEntropy), \n baseLabelDistribution, Integer.valueOf(numSplitsForBestFeature)};\n }","static double resultRPN(String[] s){\n\t\t\tif(s.length == 0)\treturn -1;\n\t\t\tStack<Double> stack = new Stack<Double>();\n\n\t\t\tdouble res = 0;\n\t\t\t\n\t\t\tfor(int i=0; i<s.length; i++){\n\t\t\t\tif(!isSign(s[i])){\n\t\t\t\t\tstack.push(Double.parseDouble(s[i]));\n\t\t\t\t}\n\t\t\t\telse{\n\t\t\t\t\tdouble val1 = stack.pop();\n\t\t\t\t\tdouble val2 = stack.pop();\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\tif(s[i] == \"*\"){\n\t\t\t\t\t\tres = val2*val1;\n\t\t\t\t\t}\n\t\t\t\t\tif(s[i] == \"+\"){\n\t\t\t\t\t\tres = val2+val1;\n\t\t\t\t\t}\n\t\t\t\t\tif(s[i] == \"-\"){\n\t\t\t\t\t\tres = val2-val1;\n\t\t\t\t\t}\n\t\t\t\t\telse if(s[i] == \"/\"){\n\t\t\t\t\t\tif(val1 == 0){\n\t\t\t\t\t\t\tthrow new ArithmeticException();\n\t\t\t\t\t\t}\n\t\t\t\t\t\tres = val2/val1;\n\t\t\t\t\t}\n\t\t\t\t\n\t\t\t\t\tstack.push(res);\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\tres = stack.pop();\n\t\t\t\n\t\t\tif(!stack.isEmpty()){\n\t\t\t\tthrow new IllegalArgumentException();\n\t\t\t}\n\t\t\t\n\t\t\treturn res;\n\n\t\t}","public double getPER() {\n\t\tint nq = q0.length;\n double sum = 0.0;\n for (int i=0; i<nq; i++) sum += q0[i];\n\t\treturn Math.min(1.0, 0.5*(1.0-(sum/(double)nq))/initPER); // 0.5 * proba erreur\t\t\n\t}","public static double getConfidenceIntervalSummand(double confidenceLevel, double standardDerivation, double sampleSize) { \n // calculate Z\n double z = AcklamStatUtil.getInvCDF(getInvCdfParam(confidenceLevel), true);\n \n // calculate result\n double result = (z * standardDerivation) / Math.sqrt(sampleSize); \n return result;\n }","private int quantizeSpread(double spectralSpread) {\n\t\treturn (int) (spectralSpread / 1000) + 1;\n\t}","private double getWeight(int index, double offset, double width)\n {\n double unitWidth = getUnitWidth(index);\n if (unitWidth == 0.0)\n {\n return 0.0;\n }\n\n double ringSegmentStart = getWidthUntil(index);\n double ringSegmentEnd = ringSegmentStart + unitWidth;\n\n // If cases where [offset, offset + width) wraps around the ring, we take the compliment of it to\n // calculate the inverse intersection ratio, and subtract that from 1 to get the actual ratio\n if (offset + width > 1.0)\n {\n double start = (offset + width) % 1.0;\n double end = offset;\n return 1D - (intersect(ringSegmentStart, ringSegmentEnd, start, end) / unitWidth);\n }\n else\n {\n return intersect(ringSegmentStart, ringSegmentEnd, offset, offset + width) / unitWidth;\n }\n }","@Override\n\tpublic double calcularSalario() {\n\n\t\tdouble salario = 0;\n\n\t\tdouble porcentajeAnios = calcularPorcentajePorAntiguedad();\n\t\tporcentajeAnios = this.sueldoBasico* (porcentajeAnios / 100);\n\t\tsalario = this.sueldoBasico + porcentajeAnios;\n\t\treturn salario;\n\t}","private int spinTheWheel()\r\n {\r\n\tint i;\r\n\t// generate a random number from 0 to 1\r\n\tdouble r = Math.random();\r\n\t// find the index where the random number lie in the \r\n\t// probability array\r\n\tfor(i = 0; i < prob.length && r > prob[i]; i++);\r\n\r\n\t// sometimes, due to the rounding error, the last \r\n\t// accumulate probability is less than 1 and the search\r\n\t// will fail. \r\n\t// when this case happen, return the last index\r\n\tif(i == prob.length)\r\n\t i--;\r\n\treturn i;\r\n }","private int adjustIndex(int index)\n {\n int max = values.length;\n return ((index % max) + max) % max;\n }","private int getNumberOfRounds(int changingAxiomsCount) {\n\t\treturn Math.min(maxRounds_,\n\t\t\t\t2 * (31 - Integer.numberOfLeadingZeros(changingAxiomsCount)));\n\t}","public double getSIvalue() {\n\t\treturn(value*factor + offset);\n\t}","public int divisorSum(int n) {\n\t\tint sum = 0;\n\t\tfor (int i = 1; i <= n; i++) {\n\t\t\tint z = n % i;\n\t\t\tif (z == 0) {\n\t\t\t\tsum = sum + i;\n\t\t\t}\n\t\t}\n\t\treturn sum;\n\t}","public abstract int mo12583RW(int i);","public static double mathConst(double x, int n){\n double result = 0;\n double item;\n double nominator = 1;\n for(int i = 0; i <= n; i++){\n if(i == 0){\n nominator = 1;\n }else {\n nominator = nominator * x;\n }\n item = nominator / factorial(i);\n result = result + item;\n }\n return result;\n }","public float getRainStrength(Point3d position){\r\n\t\treturn world.isRainingAt(new BlockPos(position.x, position.y + 1, position.z)) ? world.getRainStrength(1.0F) + world.getThunderStrength(1.0F) : 0.0F;\r\n\t}","public abstract int mo12572RL(int i);","public double computeExpectedSW(int numberOfSellers)\r\n\t{\r\n\t\tdouble expectedSW = 0.;\r\n\t\t\r\n\t\tif( numberOfSellers == 0 )\r\n\t\t{\r\n\t\t\treturn 0.;\r\n\t\t}\r\n\t\telse\r\n\t\t{\r\n\t\t\t//for(int t = getMinNumberOfTuples(numberOfSellers-1); t <= getMaxNumberOfTuples(numberOfSellers-1); ++t)\r\n\t\t\t//\texpectedSW += ((getValue()-getCost(numberOfSellers-1))*t + computeExpectedSW( numberOfSellers - 1))\r\n\t\t\t//\t\t\t *(1./(getMaxNumberOfTuples(numberOfSellers-1)-getMinNumberOfTuples(numberOfSellers-1)+1));\r\n\t\t\tList<Double> expectedCosts = computeExpectedCosts();\r\n\t\t\tdouble expectedTotalCost = 0.;\r\n\t\t\tfor(double c : expectedCosts)\r\n\t\t\t\texpectedTotalCost += c;\r\n\t\t\texpectedSW = computeExpectedValue(numberOfSellers) - expectedTotalCost;\r\n\t\t\treturn expectedSW;\r\n\t\t}\r\n\t}","public double getSumResidualsSqr() {\n double[] params = getParams();\n if (params != null) {\n return params[numParams];\n } else {\n return Double.NaN;\n }\n }"],"string":"[\n \"public double getRSI(double[] hArr) throws Exception {\\n\\t\\tdouble up=0;\\n\\t\\tdouble down=0;\\n\\t\\tSystem.out.println(\\\"plz\\\" + hArr.length + \\\"?\\\" + period_day);\\n\\t\\tfor(int i = 0; i < period_day; i++) {\\n\\t\\t\\t\\n\\t\\t\\tif(hArr[i] < hArr[i+1]) {\\n\\t\\t\\t\\tup += hArr[i+1] - hArr[i];\\n\\t\\t\\t}\\n\\t\\t\\telse if(hArr[i] > hArr[i+1]){\\n\\t\\t\\t\\tdown += hArr[i] - hArr[i+1];\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\tdouble RS = (up/period_day) / (down/period_day);\\n\\t\\t\\n\\t\\tdouble RSI = up / (up+down) * 100.0;\\n\\t\\tRSI = 100 - (100 / (1 + RS));\\n\\t\\t//System.out.println(\\\"RSI test cnt : \\\" + cnt);\\n\\t\\treturn RSI;\\n\\t}\",\n \"@Test\\n public void getSecurityPriceTechnicalsRsiTest() throws ApiException, NoSuchMethodException {\\n String identifier = null;\\n Integer period = null;\\n String priceKey = null;\\n String startDate = null;\\n String endDate = null;\\n Integer pageSize = null;\\n String nextPage = null;\\n ApiResponseSecurityRelativeStrengthIndex response = api.getSecurityPriceTechnicalsRsi(identifier, period, priceKey, startDate, endDate, pageSize, nextPage);\\n\\n // TODO: test validations\\n }\",\n \"public static void calculateRsiForDataSet(List<CandleStick> rsiCandleSticksList, int duration) {\\n\\t\\tif (duration >= rsiCandleSticksList.size())\\n\\t\\t\\treturn;\\n\\t\\tdouble sessionGainSum = 0;\\n\\t\\tdouble sessionLossSum = 0;\\n\\t\\tdouble sessionChange;\\n\\t\\tfor (int i = 1; i <= duration; i++) { // calculate first RSI.\\n\\t\\t\\tsessionChange = rsiCandleSticksList.get(i).getClose() - rsiCandleSticksList.get(i - 1).getClose();\\n\\t\\t\\tif (sessionChange > 0) {\\n\\t\\t\\t\\tsessionGainSum += sessionChange;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tsessionLossSum += sessionChange;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tdouble averageGain = sessionGainSum / duration;\\n\\t\\tdouble averageLoss = sessionLossSum / duration;\\n\\t\\tdouble rs = (averageGain / -averageLoss);\\n\\t\\tdouble rsi = 100 - (100 / (1 + rs)); // first RSI.\\n\\t\\trsiCandleSticksList.get(duration).setRsi(rsi);\\n\\t\\tfor (int i = duration + 1; i < rsiCandleSticksList.size(); i++) { // for\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// smoothing\\n\\t\\t\\tsessionChange = rsiCandleSticksList.get(i).getClose() - rsiCandleSticksList.get(i - 1).getClose();\\n\\t\\t\\tif (sessionChange > 0) {\\n\\t\\t\\t\\taverageGain = (averageGain * (duration - 1) + sessionChange) / duration;\\n\\t\\t\\t\\taverageLoss = (averageLoss * (duration - 1) + 0) / duration;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\taverageGain = (averageGain * (duration - 1) + 0) / duration;\\n\\t\\t\\t\\taverageLoss = (averageLoss * (duration - 1) + sessionChange) / duration;\\n\\t\\t\\t}\\n\\t\\t\\trs = (averageGain / -averageLoss);\\n\\t\\t\\trsi = 100 - (100 / (1 + rs));\\n\\t\\t\\trsiCandleSticksList.get(i).setRsi(rsi);\\n\\t\\t}\\n\\t}\",\n \"public double rateOfChange(int periods, int t)\\n {\\n if(periods>t || periods<1)\\n throw new IndexOutOfBoundsException(\\\"ROC(\\\" + periods + \\\") is undefined at time \\\" + t);\\n return 100.0*(x[t] - x[t - periods])/x[t - periods];\\n }\",\n \"private float getRsiPotential() {\\r\\n\\t\\treturn 1F - (float)(stochRsiCalculator.getCurrentValue()/50.0);\\r\\n\\t}\",\n \"private void getSA_PeriodForIMR(ScalarIntensityMeasureRelationshipAPI imr){\\n ListIterator it =imr.getSupportedIntensityMeasuresIterator();\\n while(it.hasNext()){\\n DependentParameterAPI tempParam = (DependentParameterAPI)it.next();\\n if(tempParam.getName().equalsIgnoreCase(this.SA_NAME)){\\n ListIterator it1 = tempParam.getIndependentParametersIterator();\\n while(it1.hasNext()){\\n ParameterAPI independentParam = (ParameterAPI)it1.next();\\n if(independentParam.getName().equalsIgnoreCase(this.SA_PERIOD)){\\n saPeriodVector = ((DoubleDiscreteParameter)independentParam).getAllowedDoubles();\\n numSA_PeriodVals = saPeriodVector.size();\\n }\\n }\\n }\\n }\\n }\",\n \"private int getIndex(int... elements) {\\n int index = 0;\\n for (int i = 0; i < elements.length; i++) index += elements[i] * Math.pow(universeSize, i);\\n return index;\\n }\",\n \"public double alternatingSequence(int n)\\r\\n {\\r\\n double sum = 0;\\r\\n\\r\\n for (int i = 1; i <= n; i++)\\r\\n sum += Math.pow(-1, i - 1)/i;\\r\\n\\r\\n return sum;\\r\\n }\",\n \"public RSIIndicator(IndicatorType type, Symbol symbol, Period period) {\\n super(RSIIndicator.class, type, symbol, period);\\n }\",\n \"BigInteger getPeriod();\",\n \"double indexOfCoincidence(int length, int[] alphabet){\\n\\t\\tdouble n=length;\\n\\t\\tdouble IOC = 0;\\n\\t\\tfor(int i=0;i<alphabet.length;i++){\\n\\t\\t\\tIOC+=alphabet[i]*(alphabet[i]-1);\\n\\t\\t}\\n\\n\\t\\tdouble something = IOC/(length*(length-1));\\n\\n\\t\\tSystem.out.println(something);\\n\\t\\treturn n;\\n\\t}\",\n \"private int getPeriodindexFromTime(long time, long period, int periodsPerSpan) {\\n int index = (int) (time / period);\\n return index;\\n }\",\n \"public abstract HalfOpenIntRange approximateSpan();\",\n \"private double computeSxx(List<Integer> intList, double mean) {\\n double total = 0;\\n for (Integer i : intList) {\\n total += Math.pow((i - mean), 2);\\n }\\n return total;\\n }\",\n \"private static long nPr(int[] frequency, int i, int n, int r)\\n { \\n //nao ha mais posicoes disponiveis para incluir elementos de permutacao\\n if (r == 0) return 1;\\n \\n //retornara o calculo de nPr\\n long npr = 0;\\n \\n //numero de elementos que ainda sobrarao, no proximo nivel de recursao,\\n //para serem distribuidos pelas posicoes restantes\\n n = n - frequency[i]; \\n \\n //chama o metodo recursivamente enquanto o numero de elementos que \\n //restarem para serem distribuidos for maior ou igual ao numero de \\n //posicoes disponiveis no proximo nivel de recursao\\n for (\\n int assignedsElements = Math.min(r, frequency[i]); \\n (assignedsElements >= 0) && (n >= r - assignedsElements);\\n assignedsElements--\\n )\\n \\n //nCr() retorna o numero de maneiras que se pode distribuir \\n //<assignedsElements> elementos de permutacao em <r> posicoes\\n //Eh multiplicado pelas permutacoes que ainda se pode fazer nas \\n //posicoes restantes com os elementos restantes\\n npr += nCr(r, assignedsElements)\\n * \\n nPr(frequency, i+1, n, r - assignedsElements);\\n \\n return npr;\\n }\",\n \"public double integrate(long n) {\\n long inside = 0;\\n for (long i = 0; i < n; i++) {\\n if (isInside(generateU01())) {\\n ++inside;\\n }\\n }\\n\\n return inside / (double) n;\\n }\",\n \"protected double residual(final Solution<P> currentEstimation, final int i) {\\n //Model fitted internally is equal to:\\n //Pr (dBm) = 10 * log(Pte * k^n / d^n) = 10*n*log(k) + 10*log(Pte) - 5*n*log(d^2)\\n //where:\\n //Pr is received, expressed in dBm\\n //Pte is equivalent transmitted power, expressed in dBm\\n //k is a constant equal to k = c^2 / (pi * f)^2, where c is speed of light\\n //and d is equal to distance between fingerprint and estimated position\\n final RssiReadingLocated<S, P> reading = mReadings.get(i);\\n final double frequency = reading.getSource().getFrequency();\\n\\n final double pathLossExponent = currentEstimation.getEstimatedPathLossExponent();\\n\\n //compute k as the constant part of the isotropic received power formula\\n //so that: Pr = Pte*k^n/d^n\\n final double k = RssiRadioSourceEstimator.SPEED_OF_LIGHT /\\n (4.0 * Math.PI * frequency);\\n final double kdB = 10.0 * pathLossExponent * Math.log10(k);\\n\\n //get distance from estimated radio source position and reading position\\n final P readingPosition = reading.getPosition();\\n final P radioSourcePosition = currentEstimation.getEstimatedPosition();\\n\\n final double sqrDistance = radioSourcePosition.sqrDistanceTo(readingPosition);\\n\\n final double transmittedPowerdBm = currentEstimation.\\n getEstimatedTransmittedPowerdBm();\\n\\n //compute expected received power assuming isotropic transmission\\n //and compare agains measured RSSI at fingerprint location\\n final double expectedRSSI = kdB + transmittedPowerdBm -\\n 5.0 * pathLossExponent * Math.log10(sqrDistance);\\n final double rssi = reading.getRssi();\\n\\n return Math.abs(expectedRSSI - rssi);\\n }\",\n \"private int d(final int n) {\\r\\n Set<Long> set = new Factors(n).getProperDivisors();\\r\\n long sum = 0;\\r\\n for (long i : set) {\\r\\n sum += i;\\r\\n }\\r\\n return (int) sum;\\r\\n }\",\n \"public static double sum(double n) {\\n\\t\\tdouble sum = 0;\\t// Sum of the series\\n\\t\\tfor (double i = 1; i <= n; i++) {\\n\\t\\t\\tsum += i / (i + 1);\\n\\t\\t}\\n\\t\\treturn sum;\\n\\t}\",\n \"public static final double internalRateOfReturn (\\n double irrEstimate,\\n double [ ] cashFlows )\\n //////////////////////////////////////////////////////////////////////\\n {\\n double irr = irrEstimate;\\n\\n double delta = -irr * 0.1;\\n\\n double oldNpv = 0.0;\\n\\n while ( true )\\n {\\n double npv = netPresentValue ( irr, cashFlows );\\n\\n if ( npv == 0.0 )\\n {\\n return irr;\\n }\\n\\n if ( oldNpv < 0.0 )\\n {\\n if ( npv > 0.0 )\\n {\\n delta *= -0.9;\\n }\\n else if ( npv > oldNpv )\\n {\\n delta *= 1.1;\\n }\\n else if ( npv < oldNpv )\\n {\\n delta = -delta;\\n }\\n else\\n {\\n delta = 0.0;\\n }\\n }\\n else if ( oldNpv > 0.0 )\\n {\\n if ( npv < 0.0 )\\n {\\n delta *= -0.9;\\n }\\n else if ( npv < oldNpv )\\n {\\n delta *= 1.1;\\n }\\n else if ( npv > oldNpv )\\n {\\n delta = -delta;\\n }\\n else\\n {\\n delta = 0.0;\\n }\\n }\\n\\n/*\\nSystem.out.println ( \\\"irr = \\\" + irr + \\\", oldNpv = \\\" + oldNpv + \\\", npv = \\\" + npv + \\\", delta = \\\" + delta );\\n\\ntry{\\nnew BufferedReader ( new InputStreamReader ( System.in ) ).readLine ( );\\n}catch (Exception x ) { }\\n*/\\n\\n if ( delta == 0.0 )\\n {\\n return irr;\\n }\\n\\n irr += delta;\\n\\n oldNpv = npv;\\n }\\n }\",\n \"public int periodIndex (\\n\\t\\tfinal int iDate)\\n\\t\\tthrows java.lang.Exception\\n\\t{\\n\\t\\tint i = 0;\\n\\n\\t\\tfor (org.drip.analytics.cashflow.CompositePeriod period : periods()) {\\n\\t\\t\\tif (period.contains (iDate)) return i;\\n\\n\\t\\t\\t++i;\\n\\t\\t}\\n\\n\\t\\tthrow new java.lang.Exception (\\\"BondStream::periodIndex => Input date not in the period set range!\\\");\\n\\t}\",\n \"public double basis()\\n\\t{\\n\\t\\treturn _lsPeriod.get (0).basis();\\n\\t}\",\n \"int getPeriod();\",\n \"static double root(double x, int n) {\\n double err = Double.MAX_VALUE;\\n\\n double l = 1;\\n double r = x;\\n\\n if (x >= 0 && x <= 1){\\n l = x;\\n r = 1;\\n }\\n\\n double cur = (l + r)/2;\\n\\n while (err > OK_ERROR) {\\n\\n\\n double powerNum = Math.pow(cur, n);\\n\\n err = Math.abs(powerNum - x);\\n\\n if (powerNum > x) {\\n r = cur;\\n } else {\\n l = cur;\\n }\\n\\n cur = (l + r)/2;\\n }\\n\\n return cur;\\n }\",\n \"public RankCircuit getRankCircuit(SInt[] numerators, SInt[] denominators, SInt numerator, SInt denominator, SInt rank);\",\n \"@Override\\n\\tpublic int resid() {\\n\\t\\tfinal float rate = mProgress/mPeroid;\\n\\t\\tint index = (int)(rate-(int)rate)*mArry.length;\\n\\t\\tif(index >= mArry.length){\\n\\t\\t\\treturn mArry.length-1;\\n\\t\\t}\\n\\t\\treturn index;\\n\\t}\",\n \"public static int calculateSignalLevel(int rssi, int numLevels) {\\n if (rssi <= MIN_RSSI) {\\n return 0;\\n } else if (rssi >= MAX_RSSI) {\\n return numLevels - 1;\\n } else {\\n float inputRange = (MAX_RSSI - MIN_RSSI);\\n float outputRange = (numLevels - 1);\\n return (int) ((float) (rssi - MIN_RSSI) * outputRange / inputRange);\\n }\\n }\",\n \"public ArrayList<Integer> solve(int r, ArrayList<Integer> xs) {\\n\\t\\t\\t int minElem = Integer.MAX_VALUE;\\n\\t\\t\\t int minElemIdx = -1;\\n\\t\\t\\t for(int i= 0 ; i<xs.size();i++){\\n\\t\\t\\t\\t if(xs.get(i) < minElem){\\n\\t\\t\\t\\t\\t minElem = xs.get(i);\\n\\t\\t\\t\\t\\t minElemIdx = i;\\n\\t\\t\\t\\t }\\n\\t\\t\\t }\\n\\t\\t\\t int currCount = r/minElem;\\n\\t\\t\\t Integer[] resArr = new Integer[currCount];\\n\\t\\t\\t \\n\\t\\t\\t for(int k=0;k<currCount;k++){\\n\\t\\t\\t\\t resArr[k] = minElemIdx;\\n\\t\\t\\t }\\n\\t\\t\\t int resSum = currCount*minElem;\\n\\t\\t\\t int subIdx = 0; //index for possible \\n\\t\\t\\t for(int i=0;i<=minElemIdx && subIdx<currCount;){\\n\\t\\t\\t\\t if(xs.get(i) <= (r-(resSum-minElem))){\\n\\t\\t\\t\\t\\t\\t resArr[subIdx++] = i;\\n\\t\\t\\t\\t\\t resSum = resSum-minElem+xs.get(i);\\n\\t\\t\\t\\t }else{\\n\\t\\t\\t\\t\\t i++;\\n\\t\\t\\t\\t }\\n\\t\\t\\t }\\n\\t\\t\\t return new ArrayList<Integer>(Arrays.asList(resArr));\\n\\t\\t }\",\n \"public int getHowManyInPeriod();\",\n \"double noireCyclicValue(double x, double period) {\\n double val = (Math.exp(Math.sin(x*x/2000.0*Math.PI)) - 0.36787944)*108.0;\\n double variance = 0.001;\\n \\n return (variance*val);\\n }\",\n \"private Double getAdjRelativeRate(CurrencyType curr, int asOfDate, int interval) {\\n CurrencySnapshot snap = curr.getSnapshotForDate(asOfDate);\\n if (snap != null) {\\n int snapDate = snap.getDateInt();\\n // System.err.println(curr+\\\" \\\"+asOfDate+\\\" \\\"+interval+\\\" \\\"+snap);\\n // First look in interval before the date: (T-I .. T]\\n if ((DateUtil.incrementDate(asOfDate, 0, 0, -interval) < snapDate) && (snapDate <= asOfDate)) {\\n return 1.0 / curr.adjustRateForSplitsInt(snapDate, snap.getRate());\\n }\\n // Now look in interval after the date: [T .. T+I)\\n snap = curr.getSnapshotForDate(asOfDate + interval);\\n if ((snap != null)\\n && (asOfDate <= snapDate)\\n && (snapDate < DateUtil.incrementDate(asOfDate, 0, 0, interval))) {\\n return 1.0 / curr.adjustRateForSplitsInt(snapDate, snap.getRate());\\n }\\n }\\n // No rate in interval\\n return Double.NaN;\\n }\",\n \"private Rational computeDirectly() {\\n BigInteger _26390k = _26390.multiply(BigInteger.valueOf(start));\\n BigInteger _24591257856pk = _24591257856.pow(start);\\n\\n Rational sum = Rational.ZERO;\\n\\n for (int k = start; k < end; k++) {\\n BigInteger num = Factorial.verified(BigInteger.valueOf(k << 2));\\n num = num.multiply(_1103.add(_26390k));\\n\\n BigInteger den = Factorial.verified(BigInteger.valueOf(k)).pow(4);\\n den = den.multiply(_24591257856pk);\\n\\n _26390k = _26390k.add(_26390);\\n _24591257856pk = _24591257856pk.multiply(_24591257856);\\n\\n sum = sum.add(Rational.valueOf(num, den).dropTo(context));\\n sum = sum.dropTo(context);\\n }\\n return sum;\\n }\",\n \"static int nStairsRecur(int stairs, int hops) {\\r\\n if(stairs < 0) {\\r\\n return -1;\\r\\n }\\r\\n if(stairs == 0 || stairs == 1) {\\r\\n return 1;\\r\\n }\\r\\n int res = 0;\\r\\n for(int i = 1; i <= hops && i <= stairs; i++) {\\r\\n res += nStairsRecur(stairs - i, hops);\\r\\n }\\r\\n return res;\\r\\n }\",\n \"abstract public int getIncomeSegment( int hhIncomeInDollars );\",\n \"private int integrator(int[] inputs, int i){\\n\\t\\tint synapSum = 0;\\n\\t\\tint l = inputs.length;\\n\\t\\tfor(int j = 0 ; j < l ; j++)\\n\\t\\t\\tsynapSum += inputs[j] * synapses[j*l+i];\\n\\t\\treturn synapSum;\\n\\t}\",\n \"double getPeriod();\",\n \"public abstract int mo12579RS(int i);\",\n \"public double getEstimate()\\n {\\n assert list.length > 0: \\\"The list cannot be empty\\\";\\n int R = list[0];\\n \\n //count how many are smaller or equal to R\\n double counter = 0;\\n for (int i = 1; i < k; i++) {\\n if (list[i]<R)\\n counter++;\\n }\\n return -Math.pow(2, R - 1) * Math.log(counter / (k-1)); }\",\n \"public abstract double calcSA();\",\n \"int getRadix(Object elementID) throws Exception;\",\n \"public static int getPeriod(int i) {\\n int count = 1;\\n int mod = 10 % i;\\n //If i is not divisible by 2 or 5, compute.\\n //If i is divisible by 2 or 5, it's period is had in a smaller number\\n if(i%2!=0 && i%5 !=0) {\\n //While mod is not 1, multiply by 10 and mod with i, increment period.\\n while(mod != 1) {\\n mod = mod * 10;\\n mod = mod % i;\\n count++;\\n }\\n }\\n return count;\\n \\n }\",\n \"public static int calcNumBursts(final int numTimeseries) {\\n int numVectors = 0;\\n for (int i = 1; i <= numTimeseries; ++i) {\\n numVectors += (i + (CORRELATION_NUM_PIPES - 1)) / CORRELATION_NUM_PIPES;\\n }\\n\\n return (numVectors + (CORRELATION_NUM_VECTORS_PER_BURST - 1))\\n / CORRELATION_NUM_VECTORS_PER_BURST;\\n }\",\n \"double getSignalPeriod();\",\n \"static int findInteger(int arr[], int n) \\n { \\n int neg = 0, pos = 0; \\n int sum = 0; \\n \\n for (int i = 0; i < n; i++) \\n { \\n sum += arr[i]; \\n \\n // If negative, then increment \\n // neg count. \\n if (arr[i] < 0) \\n neg++; \\n \\n // Else increment pos count.. \\n else\\n pos++; \\n } \\n \\n return (sum / Math.abs(neg - pos)); \\n }\",\n \"public double getResult(){\\n double x;\\n x= (3+Math.sqrt(9-4*3*(1-numberOfStrands)))/(2*3);\\n if(x<0){\\n x= (3-Math.sqrt(9-(4*3*(1-numberOfStrands))))/6;\\n\\n }\\n numberOfLayers=(float) x;\\n diameter=((2*numberOfLayers)-1)*strandDiameter;\\n phaseSpacing=(float)(Math.cbrt(ab*bc*ca));\\n\\n netRadius=diameter/2;\\n\\n\\n\\n //SGMD calculation\\n float prod=1;\\n for(int rand=0;rand<spacingSub.size();rand++){\\n prod*=spacingSub.get(rand);\\n }\\n\\n //SGMD calculation\\n sgmd=Math.pow((Math.pow(netRadius,subconductors)*prod*prod),1/(subconductors*subconductors));\\n capacitance=((8.854e-12*2*3.14)/Math.log(phaseSpacing/sgmd));\\n Log.d(\\\"How\\\",\\\"phase spacing:\\\"+phaseSpacing+\\\" sgmd=\\\"+sgmd);\\n return capacitance*1000;\\n\\n\\n }\",\n \"public boolean irreducibleQuadratic(int rIndex, int sIndex) {\\n for (int k = 0; k < cardinality() ; k++) {\\n //System.out.println(\\\"rIndex = \\\" + rIndex + \\\", sIndex = \\\" + sIndex + \\\", k = \\\" + k);\\n if (timesInt(k,k) == plusInt(timesInt(rIndex, k), sIndex)) return false;\\n }\\n return true;\\n }\",\n \"double rpow(int x, int n) {\\r\\n\\t\\tif (n == 0)\\r\\n\\t\\t\\treturn 1.0;\\r\\n\\t\\treturn x * rpow(x, n - 1);\\r\\n\\t}\",\n \"private static int getTotient(int n) {\\n int result = n;\\n for(int i=2; i*i <=n; i++) {\\n if(n % i == 0) {\\n while(n % i == 0) n /= i;\\n result -= result/i;\\n }\\n }\\n if(n > 1) result -= result/n;\\n return result;\\n }\",\n \"long getSamplePeriod();\",\n \"@Test\\n\\tpublic void testUniformRWR() {\\n\\t\\tlog.debug(\\\"Test logging\\\");\\n\\t\\tint maxT = 10;\\n\\t\\t\\n\\t\\tAnnotatedGraph<String> g = brGraphs.get(0);\\n\\t\\t\\n\\t\\tTreeMap<String,Double> startVec = new TreeMap<String,Double>();\\n\\t\\tstartVec.put(\\\"r0\\\",1.0);\\n\\t\\tMap<String,Double> baseLineVec = myRWR(startVec,g,maxT);\\n\\t\\tTreeMap<String,Double>uniformWeightVec = new TreeMap<String,Double>();\\n\\t\\tuniformWeightVec.put(\\\"fromb\\\",1.0);\\n\\t\\tuniformWeightVec.put(\\\"tob\\\",1.0);\\n\\t\\tuniformWeightVec.put(\\\"fromr\\\",1.0);\\n\\t\\tuniformWeightVec.put(\\\"tor\\\",1.0);\\n\\t\\tuniformWeightVec.put(\\\"restart\\\",1.0);\\n\\t\\tMap<String,Double> newVec = srw.rwrUsingFeatures(g, startVec, uniformWeightVec);\\n\\t\\tequalScores(baseLineVec,newVec);\\n\\t}\",\n \"int getStrength(Unit unit);\",\n \"private void atimes( int n, double x[], double r[], boolean itrnsp, double sa[], int[] ija ) {\\n if (itrnsp)\\n dsprstx(sa, ija, x, r, n);\\n else\\n dsprsax(sa, ija, x, r, n);\\n }\",\n \"public double computeExpectedSW(int numberOfSellers, List<Integer> fixedSellerIdx)\\r\\n\\t{\\r\\n\\t\\tdouble expectedSW = 0.;\\r\\n\\t\\t\\r\\n\\t\\tif( numberOfSellers == 0 )\\r\\n\\t\\t{\\r\\n\\t\\t\\treturn 0.;\\r\\n\\t\\t}\\r\\n\\t\\telse\\r\\n\\t\\t{\\r\\n\\t\\t\\tfor(int t = getMinNumberOfTuples(numberOfSellers-1); t <= getMaxNumberOfTuples(numberOfSellers-1); ++t)\\r\\n\\t\\t\\t\\tif( fixedSellerIdx.contains(numberOfSellers-1) )\\r\\n\\t\\t\\t\\t\\texpectedSW += (getValue()*_actuallyAllocatedTuples.get(numberOfSellers-1) + computeExpectedSW( numberOfSellers - 1, fixedSellerIdx))\\r\\n\\t\\t\\t\\t\\t *(1./(getMaxNumberOfTuples(numberOfSellers-1)-getMinNumberOfTuples(numberOfSellers-1)+1));\\r\\n\\t\\t\\t\\telse\\r\\n\\t\\t\\t\\t\\texpectedSW += ((getValue()-getCost(numberOfSellers-1))*t + computeExpectedSW( numberOfSellers - 1, fixedSellerIdx))\\r\\n\\t\\t\\t\\t\\t\\t\\t *(1./(getMaxNumberOfTuples(numberOfSellers-1)-getMinNumberOfTuples(numberOfSellers-1)+1));\\r\\n\\t\\t\\t\\r\\n\\t\\t\\treturn expectedSW;\\r\\n\\t\\t}\\r\\n\\t}\",\n \"private double werteRekursivAus(int n) {\\n double zwischenwert = 0;\\n\\n // Basisfall\\n if (n <= 0) {\\n return 0;\\n }\\n\\n // Fall I\\n if (n > 0) {\\n zwischenwert = 1 / (werteRekursivAus(n - 1)) + werte[werte.length - n];\\n }\\n\\n // Fall II\\n if (n == 1) {\\n zwischenwert = 1 / zwischenwert + werte[werte.length - 1];\\n }\\n return zwischenwert;\\n }\",\n \"long getRsum(int n, int i, int k){\\r\\n return n-i>=k ? (n-i-k)+ssum(k-1): ssum(k-1) - ssum(k-n+i);\\r\\n }\",\n \"public double computeSupport(double N) {\\r\\n\\t\\treturn counter / N;\\r\\n\\t}\",\n \"public double accumValue(int yearsElapsed) \\n {\\n double formulaPart2 = 1; // initialize the var that will store the value of (1 + r/n)^nt\\n int timePerYear = 0; // initialize the var that will store how frequently the interest is calculated in a year.\\n \\n if (compMode.equalsIgnoreCase(\\\"daily\\\"))\\n {\\n timePerYear = 365; // For a daily compounded deposit, the interest is calculated 365 times a year\\n }\\n else if(compMode.equalsIgnoreCase(\\\"quarterly\\\"))\\n {\\n timePerYear = 4; // For a quarterly compounded deposit, the interest is calculated 4 times a year\\n }\\n else if(compMode.equalsIgnoreCase(\\\"monthly\\\"))\\n {\\n timePerYear = 12; // For a monthly compounded deposit, the interest is calculated 12 times a year\\n }\\n \\n // a loop to calculate the power in (1 + r/n)^nt\\n for (int i = 0; i < timePerYear * yearsElapsed; i++)\\n {\\n // formulaPart2 gets the value of itelf multiplied nt times\\n formulaPart2 = formulaPart2 * (1 + interest/ 100 / timePerYear);\\n }\\n \\n return principal * formulaPart2; // return p(1 + r/n)^nt\\n }\",\n \"private double getSignal(double[] params, StejskalTannerScheme scheme, int i) {\\r\\n\\r\\n\\t\\tif (scheme.zero(i)) {\\r\\n\\t\\t\\treturn 1;\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tdouble signal;\\r\\n\\r\\n\\t\\tdouble R = params[1];\\r\\n\\t\\tdouble b = scheme.getB_Value(i);\\r\\n\\t\\tdouble DELTA = scheme.getDELTA(i);\\r\\n\\t\\tdouble delta = scheme.getDelta(i);\\r\\n \\tdouble modG = scheme.getModG(i);\\r\\n\\t\\tdouble[] ghat = scheme.getG_Dir(i);\\r\\n\\t\\tdouble[] G = new double[3];\\r\\n\\t\\tfor (int j = 0; j < G.length; j++) {\\r\\n\\t\\t\\tG[j] = ghat[j] * modG;\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tdouble[] am1 = new double[am.length];\\r\\n\\r\\n\\t\\tfor (int i1 = 0; i1 < am.length; i1++) {\\r\\n\\t\\t\\tam1[i1] = am[i1] / R;\\r\\n\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t/** calculating the sum for the perpendicular intra-cellular signal */\\r\\n\\t\\tdouble sum = 0;\\r\\n\\t\\tfor (int i1 = 0; i1 < am1.length; i1++) {\\r\\n\\t\\t\\t// d*am^2\\r\\n\\t\\t\\tdouble dam = params[0] * am1[i1] * am1[i1];\\r\\n\\t\\t\\t// -d*am^2*delta\\r\\n\\t\\t\\tdouble e11 = -dam * delta;\\r\\n\\t\\t\\t// -d*am^2*DELTA\\r\\n\\t\\t\\tdouble e2 = -dam * DELTA;\\r\\n\\t\\t\\t// -d*am^2*(DELTA-delta)\\r\\n\\t\\t\\tdouble dif = DELTA - delta;\\r\\n\\t\\t\\tdouble e3 = -dam * dif;\\r\\n\\t\\t\\t// -d*am^2*(DELTA+delta)\\r\\n\\t\\t\\tdouble plus = DELTA + delta;\\r\\n\\t\\t\\tdouble e4 = -dam * plus;\\r\\n\\t\\t\\t// numerator of the fraction\\r\\n\\t\\t\\tdouble nom = 2 * dam * delta - 2 + (2 * Math.exp(e11))\\r\\n\\t\\t\\t\\t\\t+ (2 * Math.exp(e2)) - Math.exp(e3) - Math.exp(e4);\\r\\n\\r\\n\\t\\t\\t// denominator\\r\\n\\t\\t\\tdouble denom = dam * dam * am1[i1] * am1[i1]\\r\\n\\t\\t\\t\\t\\t* (R * R * am1[i1] * am1[i1] - 1);\\r\\n\\r\\n\\t\\t\\t// the sum of the fraction\\r\\n\\t\\t\\tsum += (nom / denom);\\r\\n\\t\\t}\\r\\n\\t\\t// the perpendicular component\\r\\n\\t\\tdouble lperp = (-2 * GAMMA * GAMMA * sum);\\r\\n\\r\\n\\t\\t// parallel component\\r\\n\\t\\tdouble lpar = -b * 1/(modG*modG) * params[0];\\r\\n\\r\\n\\t\\t// the isotropic restricted signal\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tsignal = Math.sqrt(Math.PI) * 1\\r\\n\\t\\t\\t\\t\\t/ (2 * modG * Math.sqrt(lperp - lpar))\\r\\n\\t\\t\\t\\t\\t* Math.exp(modG * modG * lperp)\\r\\n\\t\\t\\t\\t\\t* ErrorFunction.erf(modG * Math.sqrt((lperp - lpar)));\\r\\n\\t\\t} catch (ErrorFunctionException erfe) {\\r\\n\\t\\t\\tthrow new LoggedException(erfe);\\r\\n\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\treturn signal;\\r\\n\\t}\",\n \"static double harmonicSum(int n) {\\n\\t\\tif (n==1) \\n\\t\\t\\treturn 1.0; \\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\treturn 1/n + harmonicSum(n-1);\\n\\t\\t}\\n\\t}\",\n \"private double snrm( int n, double sx[], int itol ) {\\n int isamax;\\n double ans;\\n\\n if (itol <= 3) {\\n ans = 0.0;\\n for( int i = 0; i < n; i++ )\\n ans += sx[i] * sx[i];\\n return Math.sqrt(ans);\\n } else {\\n isamax = 0;\\n for( int i = 0; i < n; i++ ) {\\n if (Math.abs(sx[i]) > Math.abs(sx[isamax]))\\n isamax = i;\\n }\\n return Math.abs(sx[isamax]);\\n }\\n }\",\n \"@Override\\n\\tprotected int getActiveCount(long units) {\\n\\t\\treturn units % period == 0 ? 1 : 0;\\n\\t}\",\n \"private int rs(final int x) {\\n assert(! leaf(x));\\n return Math.min(2*x+2, n);\\n }\",\n \"protected final int calculateInterst1(int pr){\\n\\t\\t return pr*10*1/100;\\n\\t }\",\n \"public double updatePeriodic()\\n {\\n double Angle = getRawAngle();\\n\\n if (FirstCall)\\n {\\n AngleAverage = Angle;\\n }\\n\\n AngleAverage -= AngleAverage / NumAvgSamples;\\n AngleAverage += Angle / NumAvgSamples;\\n\\n return (AngleAverage);\\n }\",\n \"private int advance(int[] n, int i) {\\n i += n[i];\\n i%=len;\\n while (i<0) i+=len;\\n return i;\\n }\",\n \"public static double termSlotwaarde(final int n, final int t, final double i)\\n\\t{\\n\\t\\tdouble n1 = Math.floor(n * t);\\n\\t\\tdouble r = 1d + termPercentage(t, t) / HON_PERCENT;\\n\\t\\treturn Math.pow(r, n1);\\n\\t}\",\n \"public long getSamplingPeriod();\",\n \"public static double totalSavings(double rI, double monthlySSI, double retiredReturn, double retiredYears) {\\r\\n\\t\\treturn (rI - monthlySSI) * (1 - (1 / Math.pow((1 + (retiredReturn / 100) / 12), (12 * retiredYears))))\\r\\n\\t\\t\\t\\t/ (retiredReturn / 100 / 12);\\r\\n\\t}\",\n \"private float calculGainNumerical(KnowledgeBase kb, int attIndex) {\\r\\n\\t\\tArrayList<AttributeValue<Float>> possibleValue =findPossibleValueNumerical(kb,attIndex);\\r\\n\\t\\tArrayList<ArrayList<ArrayList<Integer>>> multiple_counters2D = new ArrayList<ArrayList<ArrayList<Integer>>>();\\r\\n\\t\\tfor(int i=0;i<possibleValue.size()-1;i++){\\r\\n\\t\\t\\tmultiple_counters2D.add(kb.count2DNumeric(possibleValue.get(i),attIndex));\\t\\t\\r\\n\\t\\t}\\r\\n\\t\\tArrayList<Integer> counter1D = kb.count(kb.getIndexClass());\\r\\n\\t\\tfloat gini1D = calculImpurity(kb.getSamples().size(),counter1D);\\r\\n\\t\\tint indexBestSplit = find_bestSplit(kb,attIndex,multiple_counters2D);\\r\\n\\t\\t///\\r\\n\\t\\tArrayList<ArrayList<Integer>> counter2D = kb.count2DNumeric(attIndex, kb.getIndexClass(),possibleValue.get(indexBestSplit));\\r\\n\\t\\tfloat gini2D = calculImpurity2DForNumerical(kb,attIndex,counter2D,possibleValue.get(indexBestSplit));\\r\\n\\t\\treturn gini1D - gini2D;\\r\\n\\t}\",\n \"public double findTSS(){\\n\\t\\t\\n\\t\\tdouble dMean; double dOut;\\n\\t\\t\\n\\t\\t//loading response variable\\n\\t\\tdMean = 0;\\n\\t\\tfor(double d:rgdY){\\n\\t\\t\\tdMean+=d;\\n\\t\\t}\\n\\t\\tdMean=dMean/((double) rgdY.length);\\n\\t\\tdOut = 0;\\n\\t\\tfor(double d:rgdY){\\n\\t\\t\\tdOut+=pow(d-dMean,2);\\n\\t\\t}\\n\\t\\treturn dOut;\\n\\t}\",\n \"public void initPeriodsSearch() {\\n\\n\\t\\t//init fundamentalFreq\\n\\t\\tcalculatefundamentalFreq();\\n\\n\\t\\t//set the first search area\\n\\t\\tfinal double confidenceLevel = 5 / 100.;\\n\\t\\tnextPeriodSearchingAreaEnd = (int) Math.floor( hzToPeriod( fundamentalFreq ) * ( 1 + confidenceLevel ) );\\n\\t}\",\n \"private double getUnitWidth(int index)\\n {\\n return _weights.get(index) / _totalWeight;\\n }\",\n \"private void calc_q0(double[] llr) {\\n\\t\\tfor (int i=noffs; i<llr.length; i++)\\n\\t\\t\\tq0[i-noffs] = Math.exp(llr[i]) / (1 + Math.exp(llr[i])); // beliefs\\t\\t\\t\\n\\t}\",\n \"public int[] getAsSRational(int index) {\\n return ((int[][])data)[index];\\n }\",\n \"public static int numXTriangle(int np, double[] angles){\\n\\t\\t\\n\\t\\tint num = 0;\\n\\t\\tfor(int i=0;i<np;i++){\\n\\t\\t\\tdouble theUpper = angles[i]+180;\\n\\t\\t\\tif(theUpper>360) {theUpper = 360;}\\n\\t\\t\\t\\n\\t\\t\\tint j = binarySearchLessMax(angles, i+1, angles.length-1, theUpper);\\n\\t\\t\\t\\n\\t\\t\\t//\\t\\t\\tSystem.out.println(angles[j]);\\t\\n\\t\\t\\tif(j-i>1){\\n\\t\\t\\t\\tnum += (j-i-1);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn num;\\n\\t}\",\n \"public double calculateRate() {\\n\\t\\tdouble rate = 0;\\n\\t\\tfor (int i = 0; i < upgrades.size(); i++) {\\n\\t\\t\\trate += upgrades.get(i).getProduction();\\n\\t\\t}\\n\\t\\tbrain.setRate(rate);\\n\\t\\treturn rate;\\n\\t}\",\n \"BigInteger getRA();\",\n \"public abstract double getValue(R1Interval interval);\",\n \"public static int scoreVPs(int[] symbols) {\\r\\n\\t\\tint numSets, total = 0;\\r\\n\\t\\tnumSets = symbols[0];\\r\\n\\t\\ttotal = symbols[0] * symbols[0];\\r\\n\\t\\tfor (int i = 1; i < 3; i++) {\\r\\n\\t\\t\\tif (symbols[i] < numSets)\\r\\n\\t\\t\\t\\tnumSets = symbols[i];\\r\\n\\t\\t\\ttotal += symbols[i] * symbols[i];\\r\\n\\t\\t}\\r\\n\\t\\ttotal += numSets * 7;\\r\\n\\t\\treturn total;\\r\\n\\t}\",\n \"static long nPolyNTime(int[] n) {\\n int temp = n.length;\\n long sum = 0;\\n if(n == null || n.length == 0) return -1;\\n for(int i = 0; i < n.length; ++i) {\\n while(temp --> 0) {\\n for(int j = 0; j < n.length; ++j) {\\n sum += n[i] + n[j];\\n }\\n }\\n }\\n return sum;\\n }\",\n \"public abstract int getIndexForAngle(float paramFloat);\",\n \"public static final double annualSavingsNeeded (\\n double f,\\n double r,\\n double t )\\n //////////////////////////////////////////////////////////////////////\\n {\\n return f * r / ( Math.pow ( 1.0 + r, t ) - 1.0 );\\n }\",\n \"protected static Object[] calcGainRatios(InstanceList ilist, int[] instIndices, int minNumInsts)\\n {\\n int numInsts = instIndices.length;\\n Alphabet dataDict = ilist.getDataAlphabet();\\n LabelAlphabet targetDict = (LabelAlphabet) ilist.getTargetAlphabet();\\n double[] targetCounts = new double[targetDict.size()];\\n\\n // Accumulate target label counts and make sure\\n // the sum of each instance's target label is 1\\n for (int ii = 0; ii < numInsts; ii++) {\\n Instance inst = ilist.get(instIndices[ii]);\\n Labeling labeling = inst.getLabeling();\\n double labelWeightSum = 0;\\n for (int ll = 0; ll < labeling.numLocations(); ll++) {\\n int li = labeling.indexAtLocation(ll);\\n double labelWeight = labeling.valueAtLocation(ll);\\n labelWeightSum += labelWeight;\\n targetCounts[li] += labelWeight;\\n }\\n assert(Maths.almostEquals(labelWeightSum, 1));\\n }\\n\\n // Calculate the base entropy Info(D) and the the \\n // label distribution of the given instances\\n double[] targetDistribution = new double[targetDict.size()];\\n double baseEntropy = 0;\\n for (int ci = 0; ci < targetDict.size(); ci++) {\\n double p = targetCounts[ci] / numInsts;\\n targetDistribution[ci] = p;\\n if (p > 0)\\n baseEntropy -= p * Math.log(p) / log2;\\n }\\n\\n LabelVector baseLabelDistribution = new LabelVector(targetDict, targetDistribution);\\n double infoGainSum = 0;\\n int totalNumSplitPoints = 0;\\n double[] passTestTargetCounts = new double[targetDict.size()];\\n // Maps feature index -> Hashtable, and each table \\n // maps (split point) -> (info gain, split ratio)\\n HashMap[] featureToInfo = new HashMap[dataDict.size()]; \\n \\n // Go through each feature's split points in ascending order\\n for (int fi = 0; fi < dataDict.size(); fi++) {\\n \\n if ((fi+1) % 1000 == 0)\\n logger.info(\\\"at feature \\\" + (fi+1) + \\\" / \\\" + dataDict.size());\\n \\n featureToInfo[fi] = new HashMap();\\n Arrays.fill(passTestTargetCounts, 0);\\n // Sort instances on this feature's values\\n instIndices = sortInstances(ilist, instIndices, fi);\\n\\n // Iterate through the sorted instances\\n for (int ii = 0; ii < numInsts-1; ii++) {\\n Instance inst = ilist.get(instIndices[ii]);\\n Instance instPlusOne = ilist.get(instIndices[ii+1]);\\n FeatureVector fv1 = (FeatureVector) inst.getData();\\n FeatureVector fv2 = (FeatureVector) instPlusOne.getData();\\n double lower = fv1.value(fi);\\n double higher = fv2.value(fi);\\n\\n // Accumulate the label weights for instances passing the test\\n Labeling labeling = inst.getLabeling();\\n for (int ll = 0; ll < labeling.numLocations(); ll++) {\\n int li = labeling.indexAtLocation(ll);\\n double labelWeight = labeling.valueAtLocation(ll);\\n passTestTargetCounts[li] += labelWeight;\\n }\\n\\n if (Maths.almostEquals(lower, higher) || inst.getLabeling().toString().equals(instPlusOne.getLabeling().toString()))\\n continue;\\n\\n // For this (feature, spilt point) pair, calculate the \\n // info gain of using this pair to split insts into those \\n // with value of feature <= p versus > p\\n totalNumSplitPoints++;\\n double splitPoint = (lower + higher) / 2;\\n double numPassInsts = ii+1;\\n \\n // If this split point creates a partition \\n // with too few instances, ignore it\\n double numFailInsts = numInsts - numPassInsts;\\n if (numPassInsts < minNumInsts || numFailInsts < minNumInsts)\\n continue;\\n \\n // If all instances pass or fail this test, it is useless\\n double passProportion = numPassInsts / numInsts;\\n if (Maths.almostEquals(passProportion, 0) || Maths.almostEquals(passProportion, 1))\\n continue; \\n \\n // Calculate the entropy of instances passing and failing the test\\n double passEntropy = 0;\\n double failEntropy = 0;\\n double p;\\n \\n for (int ci = 0; ci < targetDict.size(); ci++) {\\n if (numPassInsts > 0) {\\n p = passTestTargetCounts[ci] / numPassInsts;\\n if (p > 0)\\n passEntropy -= p * Math.log(p) / log2;\\n }\\n if (numFailInsts > 0) {\\n double failTestTargetCount = targetCounts[ci] - passTestTargetCounts[ci];\\n p = failTestTargetCount / numFailInsts;\\n if (p > 0)\\n failEntropy -= p * Math.log(p) / log2;\\n }\\n }\\n \\n // Calculate Gain(D, T), the information gained \\n // by testing on this (feature, split-point) pair\\n double gainDT = baseEntropy \\n - passProportion * passEntropy\\n - (1-passProportion) * failEntropy; \\n infoGainSum += gainDT;\\n // Calculate Split(D, T), the split information\\n double splitDT = \\n - passProportion * Math.log(passProportion) / log2\\n - (1-passProportion) * Math.log(1-passProportion) / log2;\\n // Calculate the gain ratio\\n double gainRatio = gainDT / splitDT;\\n featureToInfo[fi].put(Double.valueOf(splitPoint),\\n new Point2D.Double(gainDT, gainRatio));\\n } // End loop through sorted instances\\n } // End loop through features\\n\\n // For each feature's split point with at least average gain, \\n // get the maximum gain ratio and the associated split point\\n // (using the info gain as tie breaker)\\n double[] gainRatios = new double[dataDict.size()];\\n double[] splitPoints = new double[dataDict.size()];\\n int numSplitsForBestFeature = 0;\\n\\n // If all feature vectors are identical or no splits are worthy, return all 0s\\n if (totalNumSplitPoints == 0 || Maths.almostEquals(infoGainSum, 0))\\n return new Object[] {gainRatios, splitPoints, Double.valueOf(baseEntropy), \\n baseLabelDistribution, Integer.valueOf(numSplitsForBestFeature)};\\n\\n double avgInfoGain = infoGainSum / totalNumSplitPoints;\\n double maxGainRatio = 0;\\n double gainForMaxGainRatio = 0; // tie breaker\\n \\n int xxx = 0;\\n \\n \\n for (int fi = 0; fi < dataDict.size(); fi++) {\\n double featureMaxGainRatio = 0;\\n double featureGainForMaxGainRatio = 0;\\n double bestSplitPoint = Double.NaN;\\n\\n for (Iterator iter = featureToInfo[fi].keySet().iterator(); iter.hasNext(); ) {\\n Object key = iter.next();\\n Point2D.Double pt = (Point2D.Double) featureToInfo[fi].get(key);\\n double splitPoint = ((Double) key).doubleValue();\\n double infoGain = pt.getX();\\n double gainRatio = pt.getY();\\n\\n if (infoGain >= avgInfoGain) {\\n if (gainRatio > featureMaxGainRatio || (gainRatio == featureMaxGainRatio && infoGain > featureGainForMaxGainRatio)) {\\n featureMaxGainRatio = gainRatio;\\n featureGainForMaxGainRatio = infoGain;\\n bestSplitPoint = splitPoint;\\n }\\n }\\n else {\\n xxx++;\\n }\\n \\n }\\n assert(! Double.isNaN(bestSplitPoint));\\n gainRatios[fi] = featureMaxGainRatio;\\n splitPoints[fi] = bestSplitPoint;\\n\\n if (featureMaxGainRatio > maxGainRatio || (featureMaxGainRatio == maxGainRatio && featureGainForMaxGainRatio > gainForMaxGainRatio)) {\\n maxGainRatio = featureMaxGainRatio;\\n gainForMaxGainRatio = featureGainForMaxGainRatio;\\n numSplitsForBestFeature = featureToInfo[fi].size();\\n }\\n }\\n \\n logger.info(\\\"label distrib:\\\\n\\\" + baseLabelDistribution);\\n logger.info(\\\"base entropy=\\\" + baseEntropy + \\\", info gain sum=\\\" + infoGainSum + \\\", total num split points=\\\" + totalNumSplitPoints + \\\", avg info gain=\\\" + avgInfoGain + \\\", num splits with < avg gain=\\\" + xxx);\\n \\n return new Object[] {gainRatios, splitPoints, Double.valueOf(baseEntropy), \\n baseLabelDistribution, Integer.valueOf(numSplitsForBestFeature)};\\n }\",\n \"static double resultRPN(String[] s){\\n\\t\\t\\tif(s.length == 0)\\treturn -1;\\n\\t\\t\\tStack<Double> stack = new Stack<Double>();\\n\\n\\t\\t\\tdouble res = 0;\\n\\t\\t\\t\\n\\t\\t\\tfor(int i=0; i<s.length; i++){\\n\\t\\t\\t\\tif(!isSign(s[i])){\\n\\t\\t\\t\\t\\tstack.push(Double.parseDouble(s[i]));\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse{\\n\\t\\t\\t\\t\\tdouble val1 = stack.pop();\\n\\t\\t\\t\\t\\tdouble val2 = stack.pop();\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tif(s[i] == \\\"*\\\"){\\n\\t\\t\\t\\t\\t\\tres = val2*val1;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tif(s[i] == \\\"+\\\"){\\n\\t\\t\\t\\t\\t\\tres = val2+val1;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tif(s[i] == \\\"-\\\"){\\n\\t\\t\\t\\t\\t\\tres = val2-val1;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\telse if(s[i] == \\\"/\\\"){\\n\\t\\t\\t\\t\\t\\tif(val1 == 0){\\n\\t\\t\\t\\t\\t\\t\\tthrow new ArithmeticException();\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\tres = val2/val1;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tstack.push(res);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tres = stack.pop();\\n\\t\\t\\t\\n\\t\\t\\tif(!stack.isEmpty()){\\n\\t\\t\\t\\tthrow new IllegalArgumentException();\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\treturn res;\\n\\n\\t\\t}\",\n \"public double getPER() {\\n\\t\\tint nq = q0.length;\\n double sum = 0.0;\\n for (int i=0; i<nq; i++) sum += q0[i];\\n\\t\\treturn Math.min(1.0, 0.5*(1.0-(sum/(double)nq))/initPER); // 0.5 * proba erreur\\t\\t\\n\\t}\",\n \"public static double getConfidenceIntervalSummand(double confidenceLevel, double standardDerivation, double sampleSize) { \\n // calculate Z\\n double z = AcklamStatUtil.getInvCDF(getInvCdfParam(confidenceLevel), true);\\n \\n // calculate result\\n double result = (z * standardDerivation) / Math.sqrt(sampleSize); \\n return result;\\n }\",\n \"private int quantizeSpread(double spectralSpread) {\\n\\t\\treturn (int) (spectralSpread / 1000) + 1;\\n\\t}\",\n \"private double getWeight(int index, double offset, double width)\\n {\\n double unitWidth = getUnitWidth(index);\\n if (unitWidth == 0.0)\\n {\\n return 0.0;\\n }\\n\\n double ringSegmentStart = getWidthUntil(index);\\n double ringSegmentEnd = ringSegmentStart + unitWidth;\\n\\n // If cases where [offset, offset + width) wraps around the ring, we take the compliment of it to\\n // calculate the inverse intersection ratio, and subtract that from 1 to get the actual ratio\\n if (offset + width > 1.0)\\n {\\n double start = (offset + width) % 1.0;\\n double end = offset;\\n return 1D - (intersect(ringSegmentStart, ringSegmentEnd, start, end) / unitWidth);\\n }\\n else\\n {\\n return intersect(ringSegmentStart, ringSegmentEnd, offset, offset + width) / unitWidth;\\n }\\n }\",\n \"@Override\\n\\tpublic double calcularSalario() {\\n\\n\\t\\tdouble salario = 0;\\n\\n\\t\\tdouble porcentajeAnios = calcularPorcentajePorAntiguedad();\\n\\t\\tporcentajeAnios = this.sueldoBasico* (porcentajeAnios / 100);\\n\\t\\tsalario = this.sueldoBasico + porcentajeAnios;\\n\\t\\treturn salario;\\n\\t}\",\n \"private int spinTheWheel()\\r\\n {\\r\\n\\tint i;\\r\\n\\t// generate a random number from 0 to 1\\r\\n\\tdouble r = Math.random();\\r\\n\\t// find the index where the random number lie in the \\r\\n\\t// probability array\\r\\n\\tfor(i = 0; i < prob.length && r > prob[i]; i++);\\r\\n\\r\\n\\t// sometimes, due to the rounding error, the last \\r\\n\\t// accumulate probability is less than 1 and the search\\r\\n\\t// will fail. \\r\\n\\t// when this case happen, return the last index\\r\\n\\tif(i == prob.length)\\r\\n\\t i--;\\r\\n\\treturn i;\\r\\n }\",\n \"private int adjustIndex(int index)\\n {\\n int max = values.length;\\n return ((index % max) + max) % max;\\n }\",\n \"private int getNumberOfRounds(int changingAxiomsCount) {\\n\\t\\treturn Math.min(maxRounds_,\\n\\t\\t\\t\\t2 * (31 - Integer.numberOfLeadingZeros(changingAxiomsCount)));\\n\\t}\",\n \"public double getSIvalue() {\\n\\t\\treturn(value*factor + offset);\\n\\t}\",\n \"public int divisorSum(int n) {\\n\\t\\tint sum = 0;\\n\\t\\tfor (int i = 1; i <= n; i++) {\\n\\t\\t\\tint z = n % i;\\n\\t\\t\\tif (z == 0) {\\n\\t\\t\\t\\tsum = sum + i;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn sum;\\n\\t}\",\n \"public abstract int mo12583RW(int i);\",\n \"public static double mathConst(double x, int n){\\n double result = 0;\\n double item;\\n double nominator = 1;\\n for(int i = 0; i <= n; i++){\\n if(i == 0){\\n nominator = 1;\\n }else {\\n nominator = nominator * x;\\n }\\n item = nominator / factorial(i);\\n result = result + item;\\n }\\n return result;\\n }\",\n \"public float getRainStrength(Point3d position){\\r\\n\\t\\treturn world.isRainingAt(new BlockPos(position.x, position.y + 1, position.z)) ? world.getRainStrength(1.0F) + world.getThunderStrength(1.0F) : 0.0F;\\r\\n\\t}\",\n \"public abstract int mo12572RL(int i);\",\n \"public double computeExpectedSW(int numberOfSellers)\\r\\n\\t{\\r\\n\\t\\tdouble expectedSW = 0.;\\r\\n\\t\\t\\r\\n\\t\\tif( numberOfSellers == 0 )\\r\\n\\t\\t{\\r\\n\\t\\t\\treturn 0.;\\r\\n\\t\\t}\\r\\n\\t\\telse\\r\\n\\t\\t{\\r\\n\\t\\t\\t//for(int t = getMinNumberOfTuples(numberOfSellers-1); t <= getMaxNumberOfTuples(numberOfSellers-1); ++t)\\r\\n\\t\\t\\t//\\texpectedSW += ((getValue()-getCost(numberOfSellers-1))*t + computeExpectedSW( numberOfSellers - 1))\\r\\n\\t\\t\\t//\\t\\t\\t *(1./(getMaxNumberOfTuples(numberOfSellers-1)-getMinNumberOfTuples(numberOfSellers-1)+1));\\r\\n\\t\\t\\tList<Double> expectedCosts = computeExpectedCosts();\\r\\n\\t\\t\\tdouble expectedTotalCost = 0.;\\r\\n\\t\\t\\tfor(double c : expectedCosts)\\r\\n\\t\\t\\t\\texpectedTotalCost += c;\\r\\n\\t\\t\\texpectedSW = computeExpectedValue(numberOfSellers) - expectedTotalCost;\\r\\n\\t\\t\\treturn expectedSW;\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public double getSumResidualsSqr() {\\n double[] params = getParams();\\n if (params != null) {\\n return params[numParams];\\n } else {\\n return Double.NaN;\\n }\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6084087","0.5116293","0.50306547","0.49412704","0.48824358","0.48582923","0.47497806","0.46959522","0.4670009","0.46693566","0.4646477","0.45650303","0.4529743","0.44942683","0.4485951","0.44691697","0.44615254","0.44497746","0.44259173","0.441421","0.44140333","0.44104305","0.44090334","0.4400537","0.43974018","0.43938896","0.43722814","0.43618336","0.43594202","0.43496025","0.43469363","0.43360013","0.43296027","0.43221435","0.43204483","0.43129265","0.430664","0.43038553","0.4301158","0.43011025","0.4291444","0.42892188","0.42856947","0.42854953","0.42830408","0.42830318","0.42691845","0.42645535","0.42577255","0.4244667","0.42347878","0.42309648","0.42289096","0.42254508","0.42238316","0.42075154","0.4203611","0.4198869","0.41979057","0.41949132","0.41938382","0.4184985","0.41847962","0.41753536","0.4173296","0.41673774","0.416434","0.41643143","0.41631797","0.41625553","0.41614458","0.4159917","0.41552126","0.4154268","0.414726","0.41459534","0.41456628","0.41364476","0.4134818","0.41330633","0.4132472","0.41222933","0.4114878","0.41134402","0.41126323","0.41070804","0.4105136","0.41010395","0.4098239","0.4095792","0.4090674","0.40906328","0.40905374","0.4088216","0.40859047","0.40836993","0.4078501","0.4074355","0.40680075","0.4067725"],"string":"[\n \"0.6084087\",\n \"0.5116293\",\n \"0.50306547\",\n \"0.49412704\",\n \"0.48824358\",\n \"0.48582923\",\n \"0.47497806\",\n \"0.46959522\",\n \"0.4670009\",\n \"0.46693566\",\n \"0.4646477\",\n \"0.45650303\",\n \"0.4529743\",\n \"0.44942683\",\n \"0.4485951\",\n \"0.44691697\",\n \"0.44615254\",\n \"0.44497746\",\n \"0.44259173\",\n \"0.441421\",\n \"0.44140333\",\n \"0.44104305\",\n \"0.44090334\",\n \"0.4400537\",\n \"0.43974018\",\n \"0.43938896\",\n \"0.43722814\",\n \"0.43618336\",\n \"0.43594202\",\n \"0.43496025\",\n \"0.43469363\",\n \"0.43360013\",\n \"0.43296027\",\n \"0.43221435\",\n \"0.43204483\",\n \"0.43129265\",\n \"0.430664\",\n \"0.43038553\",\n \"0.4301158\",\n \"0.43011025\",\n \"0.4291444\",\n \"0.42892188\",\n \"0.42856947\",\n \"0.42854953\",\n \"0.42830408\",\n \"0.42830318\",\n \"0.42691845\",\n \"0.42645535\",\n \"0.42577255\",\n \"0.4244667\",\n \"0.42347878\",\n \"0.42309648\",\n \"0.42289096\",\n \"0.42254508\",\n \"0.42238316\",\n \"0.42075154\",\n \"0.4203611\",\n \"0.4198869\",\n \"0.41979057\",\n \"0.41949132\",\n \"0.41938382\",\n \"0.4184985\",\n \"0.41847962\",\n \"0.41753536\",\n \"0.4173296\",\n \"0.41673774\",\n \"0.416434\",\n \"0.41643143\",\n \"0.41631797\",\n \"0.41625553\",\n \"0.41614458\",\n \"0.4159917\",\n \"0.41552126\",\n \"0.4154268\",\n \"0.414726\",\n \"0.41459534\",\n \"0.41456628\",\n \"0.41364476\",\n \"0.4134818\",\n \"0.41330633\",\n \"0.4132472\",\n \"0.41222933\",\n \"0.4114878\",\n \"0.41134402\",\n \"0.41126323\",\n \"0.41070804\",\n \"0.4105136\",\n \"0.41010395\",\n \"0.4098239\",\n \"0.4095792\",\n \"0.4090674\",\n \"0.40906328\",\n \"0.40905374\",\n \"0.4088216\",\n \"0.40859047\",\n \"0.40836993\",\n \"0.4078501\",\n \"0.4074355\",\n \"0.40680075\",\n \"0.4067725\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6565824"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":19797,"cells":{"query":{"kind":"string","value":"Create a new historical series from this one by removing the trend by means of a moving average of the given depth. Because of the way the trend is removed from the series, the first depth quotes are lost."},"document":{"kind":"string","value":"public Series removeDelayedTrend(int depth)\n {\n if(depth<1 || depth>=size)\n throw new IndexOutOfBoundsException();\n Series oscillator = new Series();\n oscillator.x = new double[oscillator.size = size - depth];\n if(oscillator.size>1)\n oscillator.r = new double[oscillator.size - 1];\n for(int t = 0; t<oscillator.size; t++)\n {\n oscillator.x[t] = x[t + depth] - movingAverage(depth, t + depth);\n if(t>0)\n oscillator.r[t - 1] = Math.log(oscillator.x[t]/oscillator.x[t - 1]);\n }\n return oscillator;\n }"},"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 static double calculateMovingAverage(JsArrayNumber history) {\n double[] vals = new double[history.length()];\n long size = history.length();\n double sum = 0.0;\n double mSum = 0.0;\n long mCount = 0;\n\n // Check for sufficient data\n if (size >= 8) {\n // Clone the array and Calculate sum of the values\n for (int i = 0; i < size; i++) {\n vals[i] = history.get(i);\n sum += vals[i];\n }\n double mean = sum / size;\n\n // Calculate variance for the set\n double varianceTemp = 0.0;\n for (int i = 0; i < size; i++) {\n varianceTemp += Math.pow(vals[i] - mean, 2);\n }\n double variance = varianceTemp / size;\n double standardDev = Math.sqrt(variance);\n\n // Standardize the Data\n for (int i = 0; i < size; i++) {\n vals[i] = (vals[i] - mean) / standardDev;\n }\n\n // Calculate the average excluding outliers\n double deviationRange = 2.0;\n\n for (int i = 0; i < size; i++) {\n if (vals[i] <= deviationRange && vals[i] >= -deviationRange) {\n mCount++;\n mSum += history.get(i);\n }\n }\n\n } else {\n // Calculate the average (not enough data points to remove outliers)\n mCount = size;\n for (int i = 0; i < size; i++) {\n mSum += history.get(i);\n }\n }\n\n return mSum / mCount;\n }","public Builder clearAvgTreatment() {\n \n avgTreatment_ = 0D;\n onChanged();\n return this;\n }","public void unaverage() {\n\t\tif (!averaged)\n\t\t\tthrow new AssertionError(\"can't unaverage twice!!\");\n\t\t\n\t\tfor (int i = 0; i < w.length; i++)\n\t\t\tw[i] = (w[i] + wupdates[i])/(t+1.0);\n\t\t\n\t\tscale = 1.0;\n\t\taveraged = false;\n\t}","void decrementOldDepth() {\n mOldDepth--;\n }","public Series removeLinearTrend(double c, double r)\n {\n Series oscillator = new Series();\n oscillator.x = new double[oscillator.size = size];\n if(size>1)\n oscillator.r = new double[size - 1];\n for(int t = 0; t<size; t++)\n {\n oscillator.x[t] = x[t] - c - r*t;\n if(t>0)\n oscillator.r[t - 1] = this.r[t - 1] - r;\n }\n return oscillator;\n }","@Test\n\tpublic void MovingAverage() {\n\t\tList<Double> high = new ArrayList<Double>();\n\t\t// high = highPriceList();\n\t\tfor (Double data2 : high) {\n\t\t\tSystem.out.println(data2);\n\t\t}\n\t\t// double[] testData = { 1, 2, 3, 4, 5, 5, 4, 3, 2, 1 };\n\t\tint[] windowSizes = { 3 };\n\n\t\tfor (int windSize : windowSizes) {\n\t\t\tStock_data_controller ma = new Stock_data_controller();\n\t\t\tma.Stock_controller(windSize);\n\t\t\tfor (double x : high) {\n\t\t\t\tma.newNum(x);\n\t\t\t\tSystem.out.println(\"Next number = \" + x + \", SimpleMovingAvg = \" + ma.getAvg());\n\t\t\t}\n\t\t\tSystem.out.println();\n\t\t}\n\t}","void decrementNewDepth() {\n mNewDepth--;\n }","public void clearYAvg() {\n\t\tyStats.clear();\n\t}","public Builder clearAvgControl() {\n \n avgControl_ = 0D;\n onChanged();\n return this;\n }","public Builder clearDepth() {\n \n depth_ = 0;\n onChanged();\n return this;\n }","private XYSeries createSeries() {\r\n return createSeries(0);\r\n }","public void undo() {\n firePropertyChange(\"undo\", null, \"enable\");\n final Drawing removeMe = myDrawingArray.get(myDrawingArray.size() - 1);\n myDrawingArray.remove(removeMe);\n myUndoStack.push(removeMe);\n myCurrentShape = new Drawing(new Line2D.Double(), Color.WHITE, 0);\n if (myDrawingArray.isEmpty()) {\n firePropertyChange(\"stack\", null, EMPTY_STRING);\n }\n repaint();\n }","public void decreaseDepth() {\n currentDepth--;\n }","private void drawChart() throws ParseException {\n Calendar cal = new GregorianCalendar();\n cal.setTime(new Date());\n cal.set(Calendar.DAY_OF_MONTH, -7);\n cal.set(Calendar.HOUR_OF_DAY, 0);\n cal.set(Calendar.MINUTE, 0);\n cal.set(Calendar.SECOND, 0);\n cal.set(Calendar.MILLISECOND, 0);\n Date startTime = cal.getTime();\n Date dayEnd = new Date();\n\n historyChart.setBackgroundColor(Color.WHITE);\n historyChart.setDrawBorders(true);\n\n\n ArrayList<String> xAxis = new ArrayList<>();\n ArrayList<Float> calories = new ArrayList<>();\n ArrayList<Float> calcium = new ArrayList<>();\n ArrayList<Float> sodium = new ArrayList<>();\n ArrayList<Float> carbs = new ArrayList<>();\n ArrayList<Float> cholestrol = new ArrayList<>();\n ArrayList<Float> iron = new ArrayList<>();\n ArrayList<Float> protien = new ArrayList<>();\n ArrayList<Float> sugar = new ArrayList<>();\n ArrayList<Float> totalfat = new ArrayList<>();\n\n NutritionHistory instance = NutritionHistory.getInstance();\n NutritionHistory.getInstance().getNutritionInformation(startTime, dayEnd, nutritionInformation -> {\n DatabaseReference mDatabase = FirebaseDatabase.getInstance().getReference();\n FirebaseUser mCurrentUser = FirebaseAuth.getInstance().getCurrentUser();\n mDatabase.child(\"account\").child(mCurrentUser.getUid()).addListenerForSingleValueEvent(new ValueEventListener() {\n @Override\n public void onDataChange(@NonNull DataSnapshot dataSnapshot) {\n\n double caloriesNeeded = 2000L;\n for (DataSnapshot data : dataSnapshot.getChildren()) {\n switch (data.getKey()) {\n case \"calories\":\n caloriesNeeded = Double.parseDouble(String.valueOf(data.getValue()));\n }\n }\n\n NutrientConverter converter = new NutrientConverter(caloriesNeeded);\n\n NutritionInformation.NutritionInformationBuilder builder = new NutritionInformation.NutritionInformationBuilder();\n NutritionInformation current = builder.build();\n\n Long[] days = nutritionInformation.keySet().stream().toArray(Long[]::new);\n Arrays.sort(days);\n\n for(Long day: days) {\n xAxis.add(sdf2.format(new Date(day)).toString());\n calories.add(converter.convert(\"Calories\", (float) nutritionInformation.get(day).getCalories()));\n calcium.add(converter.convert(\"Calcium\", (float) nutritionInformation.get(day).getCalcium()));\n sodium.add(converter.convert(\"Sodium\", (float)nutritionInformation.get(day).getSodium()));\n carbs.add(converter.convert(\"Carbohydrates\", (float) nutritionInformation.get(day).getCarbohydrates()));\n cholestrol.add(converter.convert(\"Cholesterol\", (float)nutritionInformation.get(day).getCholesterol()));\n iron.add(converter.convert(\"Iron\", (float)nutritionInformation.get(day).getIron()));\n protien.add(converter.convert(\"Protein\", (float)nutritionInformation.get(day).getProtein()));\n sugar.add(converter.convert(\"Sugar\", (float)nutritionInformation.get(day).getSugar()));\n totalfat.add(converter.convert(\"Total Fat\", (float)nutritionInformation.get(day).getTotalFat()));\n }\n Log.i(\"HERE\", xAxis.toString());\n LineDataSet dataCalories = addValues(\"Calories\", calories);\n dataCalories.setColor(Color.RED);\n dataCalories.setLineWidth(2f);\n\n LineDataSet dataCalcium = addValues(\"Calcium\",calcium);\n dataCalcium.setColor(Color.rgb(181, 126\t, 220));\n dataCalcium.setLineWidth(2f);\n\n LineDataSet dataSodium = addValues(\"Sodium\", sodium);\n dataSodium.setColor(Color.BLUE);\n dataSodium.setLineWidth(2f);\n\n LineDataSet dataCarbs = addValues(\"Carbohydrates\",carbs);\n dataCarbs.setColor(Color.GREEN);\n dataCarbs.setLineWidth(2f);\n\n LineDataSet dataCholesterol = addValues(\"Cholesterol\", cholestrol);\n dataCholesterol.setColor(Color.YELLOW);\n dataCholesterol.setLineWidth(2f);\n\n LineDataSet dataIron = addValues(\"Iron\",iron);\n dataIron.setColor(Color.BLACK);\n dataIron.setLineWidth(2f);\n\n LineDataSet dataProtein = addValues(\"Protein\", protien);\n dataProtein.setColor(Color.CYAN);\n dataProtein.setLineWidth(2f);\n\n LineDataSet dataSugar = addValues(\"Sugar\",sugar);\n dataSugar.setColor(Color.MAGENTA);\n dataSugar.setLineWidth(2f);\n\n LineDataSet dataTotalFat = addValues(\"Total Fat\", totalfat);\n dataTotalFat.setColor(Color.rgb(248\t,131, 121));\n dataTotalFat.setLineWidth(2f);\n\n LineData lineData = new LineData(dataCalories, dataCalcium ,dataSodium, dataCarbs, dataIron, dataSugar, dataProtein, dataTotalFat, dataCholesterol);\n historyChart.setData(lineData);\n historyChart.getXAxis().setDrawAxisLine(true);\n historyChart.setVisibleXRange(0, xAxis.size() - 1);\n historyChart.getXAxis().setValueFormatter(new MyXAxisValueFormatter(xAxis));\n historyChart.getXAxis().setPosition(XAxis.XAxisPosition.BOTTOM);\n historyChart.enableScroll();\n historyChart.getDescription().setEnabled(false);\n historyChart.getXAxis().setLabelCount(7, true);\n historyChart.setExtraBottomOffset(20f);\n }\n\n @Override\n public void onCancelled(@NonNull DatabaseError databaseError) {\n\n }\n });\n });\n\n designChart(xAxis);\n historyChart.invalidate();\n }","public void removeRandomLimitedDepth(){\n Node[] nodes = getRandomNonterminalNode(true); //limited depth so suppress trunc's destructiveness.\n if (nodes == null)\n return;\n \n // Generate random DecisionNode to replace\n DecisionNode replacementNode = DecisionNode.getRandom();\n \n // Update prev reference\n if (nodes[PREV].left == nodes[CURR]){\n //U.pl(\"Truncing: \" + nodes[PREV] + \", \" + nodes[CURR] + \", \" + nodes[NEXT]);\n nodes[PREV].left = replacementNode;\n } else {\n //U.pl(\"Truncing: \" + nodes[PREV] + \", \" + nodes[CURR] + \", \" + nodes[NEXT]);\n nodes[PREV].right = replacementNode;\n }\n }","private void DeleteBurnInsOnPreviousSamples() {\n\t\tif (gibbs_sample_num <= num_gibbs_burn_in + 1 && gibbs_sample_num >= 2){\n\t\t\tgibbs_samples_of_bart_trees[gibbs_sample_num - 2] = null;\n\t\t}\n\t}","public void undoAll() {\n firePropertyChange(\"array\", null, EMPTY_STRING);\n myDrawingArray.clear();\n myUndoStack.clear();\n myCurrentShape = new Drawing(new Line2D.Double(), Color.WHITE, 0);\n repaint();\n }","public Builder clearSeasonCaptureScore() {\n \n seasonCaptureScore_ = 0;\n onChanged();\n return this;\n }","public void clearXAvg() {\n\t\txStats.clear();\n\t}","public void StandardDeviation(){\r\n\t\tAverage();\r\n\t\tif (count<=1){\r\n\t\t\tSystem.out.println(\"The Standard Deviation is \"+0.0);\r\n\t\t}\r\n\t\telse {\r\n\t\t\tStandardDeviation=(float)Math.sqrt((Total2-Total*Total/count)/(count-1));\r\n\t\t}\r\n\t}","public static boolean removeLinearTrend( double[] array, double timestep ) {\r\n if ((array == null) || (array.length == 0) ||\r\n (Math.abs(timestep - 0.0) < OPS_EPSILON)) {\r\n return false;\r\n }\r\n int len = array.length;\r\n double[] time = makeTimeArray( timestep, len);\r\n SimpleRegression regression = new SimpleRegression();\r\n for(int i = 0; i < len; i++) {\r\n regression.addData(time[i], array[i]);\r\n }\r\n //Remove the trend from the array\r\n for (int i = 0; i < len; i++) {\r\n array [i] = array[i] - regression.predict(time[i]);\r\n }\r\n return true;\r\n }","public void deleteHistory() {\n weatherRepo.deleteAll();\n }","void incrementOldDepth() {\n mOldDepth++;\n }","public MutableDouble subtract(double value) {\n\t\tmDouble -= value;\n\t\treturn this;\n\t}","public Builder removeStocks(int index) {\n if (stocksBuilder_ == null) {\n ensureStocksIsMutable();\n stocks_.remove(index);\n onChanged();\n } else {\n stocksBuilder_.remove(index);\n }\n return this;\n }","public void removeTopLevels() {\n for (Map.Entry<Hierarchy,HierarchyAccessImpl> entry\n : hierarchyGrants.entrySet())\n {\n final HierarchyAccessImpl hierarchyAccess = entry.getValue();\n if (hierarchyAccess.topLevel != null) {\n final HierarchyAccessImpl hierarchyAccessClone =\n new HierarchyAccessImpl(\n hierarchyAccess.hierarchy,\n hierarchyAccess.access,\n null,\n hierarchyAccess.bottomLevel,\n hierarchyAccess.rollupPolicy);\n hierarchyAccessClone.memberGrants.putAll(\n hierarchyAccess.memberGrants);\n entry.setValue(hierarchyAccessClone);\n }\n }\n }","public static < T > BasicOrderedSeries< T > copy( final BasicOrderedSeries< T > series )\n\t{\n\t\tRequire.notNull( series );\n\t\tfinal BasicOrderedSeries< T > copy = new BasicOrderedSeries< T >( series.size() );\n\t\t\n\t\tfor( BasicOrderedSeries.Entry< Double, T > entry : series )\n\t\t{\n\t\t\tcopy.add( entry.getKey(), entry.getElement() );\n\t\t}\n\t\t\n\t\treturn copy;\n\t}","private void renewPreview() {\r\n\t\tint start = 0;\r\n\t\tsurface.clear();\r\n\t\tfor (start = 0; start < myHistoryManager.historys.size(); start++) {\r\n\t\t\tAbstractHistory history = myHistoryManager.historys.get(start);\r\n\t\t\tif (history.getType() == \"AddHistory\") {\r\n\t\t\t\tPoint endPos = ((AddHistory) history).endPos;\r\n\t\t\t\tMyColor pathColor = ((AddHistory) history).pathColor;\r\n\t\t\t\tstrokeSize = ((AddHistory) history).strokeSize;\r\n\t\t\t\tdouble x = endPos.getVector2().getX();\r\n\t\t\t\tdouble y = endPos.getVector2().getY();\r\n\r\n\t\t\t\tif (strokePointCount == 1) {\r\n\t\t\t\t\t/* set stroke color, size, and shadow */\r\n\t\t\t\t\tcanvas_context.setStrokeStyle(pathColor.getColorCode());\r\n\t\t\t\t\tcanvas_context.setFillStyle(pathColor.getColorCode());\r\n\t\t\t\t\tcanvas_context.setLineWidth(strokeSize);\r\n\t\t\t\t\tcanvas_context.setLineCap(LineCap.ROUND);\r\n\t\t\t\t\tcanvas_context.setLineJoin(LineJoin.ROUND);\r\n\t\t\t\t\tcanvas_context.stroke();\r\n\t\t\t\t\tcanvas_context.beginPath();\r\n\t\t\t\t\tcanvas_context.moveTo(x, y);\r\n\t\t\t\t}\r\n\t\t\t\tcanvas_context.lineTo(x, y);\r\n\t\t\t\tstrokePointCount++;\r\n\t\t\t\t\r\n\t\t\t} else if (history.getType() == \"PathHeadHistory\") {\r\n\t\t\t\tstrokePointCount = 0; \r\n\t\t\t\tstrokePointCount++;\r\n\t\t\t\t\r\n\t\t\t}\r\n\t\t}\r\n\t\tcanvas_context.stroke();\r\n\t\t\r\n\t}","public double[][] deconstructTimeSeries( double[] series, \n int numberOfVariables, \n int N, \n int lag )\n {\n double[][] variables = new double[ numberOfVariables ][ N ];\n\n for( int i=0; i<numberOfVariables; i++ )\n {\n int c = 0;\n for( int j=0; j<N; j++ )\n {\n variables[ i ][ j ] = series[ i * lag + c++ ];\n }\n }\n\n return variables;\n }","public void roundUndo() {\n roundsHistory.pop();\n updateGameDescriptorAfterUndo();\n }","public BegsBuilder preserveEdgeAttribute(StdAttribute attribute) {\n return preserveEdgeAttribute(attribute.name());\n }","public double[][] deconstructTimeSeries( double[] series, \n int numberOfVariables, \n int lag )\n {\n int N = series.length - numberOfVariables * lag;\n while( N < 0 )\n {\n numberOfVariables--;\n N = series.length - (numberOfVariables) * lag;\n }\n double[][] variables = new double[ numberOfVariables ][ N ];\n\n for( int i=0; i<numberOfVariables; i++ )\n {\n for( int j=0; j<N; j++ )\n {\n variables[ i ][ j ] = series[ i * lag + j ];\n }\n }\n\n return variables;\n }","public Builder clearDepth() {\n bitField0_ = (bitField0_ & ~0x00000004);\n depth_ = 0F;\n onChanged();\n return this;\n }","@Test\n\tpublic void averageWorksForModeNone() {\n\t\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\n\t\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 10, 0)); // constant function = 10\n\t\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\n\t\tt1.addValues(TimeSeriesUtils.createStepFunction(5, 20, 25, 20, 0)); // constant function = 20\n\t\tfinal ReadOnlyTimeSeries avg = MultiTimeSeriesUtils.getAverageTimeSeries(Arrays.<ReadOnlyTimeSeries> asList(t0, t1), 0, Long.MAX_VALUE, true, null, false);\n\t\tAssert.assertEquals(\"Time series sum has wrong number of data points\", 13, avg.size());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 15, avg.getValue(20).getValue().getIntegerValue());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 20, avg.getValue(45).getValue().getIntegerValue());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 10, avg.getValue(80).getValue().getIntegerValue());\n\t}","protected void resetShapeTimeline(RMShape aShape)\n{\n RMTimeline timeline = aShape.getTimeline(); if(timeline==null) return;\n aShape.undoerDisable();\n int time = timeline.getTime(); timeline.setTime(0); timeline.setTime(time);\n aShape.undoerEnable();\n}","public void resetStats() {\n recentStats = new Stats();\n }","public static ArrayList<HistoPointData> parseHistoricalJson(String json) {\n \n ArrayList<HistoPointData> dailyData = new ArrayList<>();\n \n try {\n JSONObject jsonObj = new JSONObject(json);\n jsonObj = jsonObj.getJSONObject(\"query\").getJSONObject(\"results\");\n JSONArray jsonArr = jsonObj.getJSONArray(\"quote\");\n int length = jsonArr.length();\n for (int i = 0; i < length; i++) {\n // Do stuff...\n JSONObject currObj = jsonArr.optJSONObject(length - (i+1)); // I need to reverse the order so the date is acs\n HistoPointData currPoint = new HistoPointData(currObj);\n dailyData.add(currPoint);\n }\n } catch (JSONException e) {\n e.printStackTrace();\n }\n\n return dailyData;\n }","void resetStationStatistics() {\n\n if (dbg) System.out.println(\"<br>resetStationStatistics: \" +\n \"depthMin, depthMax = \" + depthMin + \" \" + depthMax);\n if (dbg) System.out.println(\"<br>resetStationStatistics: \" +\n \"sampleCount = \" + sampleCount);\n if (dbg) System.out.println(\"<br>resetStationStatistics: \" +\n \"stationSampleCount = \" + stationSampleCount);\n if (dbg) System.out.println(\"<br>resetStationStatistics: \" +\n \"sampleRejectCount = \" + sampleRejectCount);\n if (dbg) System.out.println(\"<br>resetStationStatistics: \" +\n \"stationSampleRejectCount = \" + stationSampleRejectCount);\n\n depthMin = 9999.99f;\n depthMax = -9999.99f;\n stationSampleCount = 0;\n stationSampleRejectCount = 0;\n prevDepth = 0f;\n\n }","public double[][] deconstructTimeSeries( ArrayList< Double > series, \n int numberOfVariables, \n int N, \n int lag )\n {\n double[][] variables = new double[ numberOfVariables ][ N ];\n\n for( int i=0; i<numberOfVariables; i++ )\n {\n int c = 0;\n for( int j=0; j<N; j++ )\n {\n variables[ i ][ j ] = series.get( i * lag + c++ );\n }\n }\n\n return variables;\n }","public Builder clearDepth() {\n bitField0_ = (bitField0_ & ~0x00000002);\n depth_ = 0F;\n onChanged();\n return this;\n }","@Override\n void updateStockLevels(){\n for(OrderLine orderLine : products){\n Product p = orderLine.getProduct();\n //remove quantity ordered from stock levels\n p.updateNumInStock(-orderLine.getQuantity());\n }\n }","private XYChart.Series<String, Double> resizeDataSeries(XYChart.Series<String, Double> series) {\n int adjustedNumPoints = MAX_DATA_POINTS - 2;\n int adjustedLength = series.getData().size() - 2;\n double divisor = adjustedLength - adjustedNumPoints + 1;\n double removeEvery = adjustedLength / divisor;\n double indexSum = removeEvery;\n int[] skippedIndices = new int[adjustedLength - adjustedNumPoints];\n int skippedIndex = (int) Math.ceil(indexSum);\n int i = 0;\n\n XYChart.Series<String, Double> resizedSeries = new XYChart.Series<>();\n XYChart.Data<String, Double> first = series.getData().get(0);\n XYChart.Data<String, Double> last = series.getData().get(series.getData().size() - 1);\n\n series.getData().remove(0);\n series.getData().remove(series.getData().size() - 1);\n resizedSeries.getData().add(first);\n\n while (skippedIndex < adjustedLength) {\n skippedIndices[i] = skippedIndex;\n indexSum += removeEvery;\n skippedIndex = (int) Math.ceil(indexSum);\n i += 1;\n }\n\n i = 0;\n skippedIndex = skippedIndices[i];\n\n for (int j = 0; j < series.getData().size(); j++) {\n if (j != skippedIndex) {\n resizedSeries.getData().add(series.getData().get(j));\n } else if (i < skippedIndices.length - 1) {\n i += 1;\n skippedIndex = skippedIndices[i];\n }\n }\n\n resizedSeries.getData().add(last);\n\n return resizedSeries;\n }","@Generated(hash = 74421150)\n public synchronized void resetForecast() {\n forecast = null;\n }","@Override\n protected void seriesRemoved(Series<X,Y> series) {\n for(XYChart.Data<X,Y> xydata : series.getData() ){\n Node holder = xydata.getNode();\n getPlotChildren().remove(holder);\n }\n removeSeriesFromDisplay(series);\n }","private void disposeUndoHistory() {\n \t\tfHistory.dispose(fUndoContext, true, true, true);\n \t}","@Deprecated\n public Graph getLineage(String hash, String direction, int maxDepth)\n {\n Graph result = new Graph();\n Vertex previousVertex = null;\n Vertex currentVertex = null;\n int depth = 0;\n Queue<Vertex> queue = new LinkedList<>();\n queue.add(getVertex(hash));\n while(!queue.isEmpty() && depth < maxDepth)\n {\n currentVertex = queue.remove();\n String currentHash = currentVertex.getAnnotation(\"hash\");\n if(DIRECTION_ANCESTORS.startsWith(direction.toLowerCase()))\n queue.addAll(getParents(currentHash).vertexSet());\n else if(DIRECTION_DESCENDANTS.startsWith(direction.toLowerCase()))\n queue.addAll(getChildren(currentHash).vertexSet());\n\n result.putVertex(currentVertex);\n if(previousVertex != null)\n result.putEdge(getEdge(previousVertex.getAnnotation(\"hash\"), currentHash));\n\n previousVertex = currentVertex;\n depth++;\n }\n\n return result;\n }","private TimeSeries initMovingTimeSeries(int maxBarCount) {\n //TimeSeries series = CsvTradesLoader.loadBitstampSeries();\n //TimeSeries series = CsvTicksLoader.load(\"EURUSD_Daily_201701020000_201712290000.csv\");\n //TimeSeries series = CsvTicksLoader.load(\"2019_D.csv\");\n\n TimeSeries series = new BaseTimeSeries(selected.getPeriod().getName());\n\n for (PeriodBar periodBar : selected.getPeriod().getBars()) {\n ZonedDateTime time = periodBar.getEndTime();\n double open = periodBar.getOpenPrice().doubleValue();\n double close = periodBar.getClosePrice().doubleValue();\n double max = periodBar.getMaxPrice().doubleValue();\n double min = periodBar.getMinPrice().doubleValue();\n double vol = periodBar.getVolume().doubleValue();\n\n series.addBar(new BaseBar(time, open, max, min, close, vol));\n }\n\n System.out.print(\"Initial bar count: \" + series.getBarCount());\n // Limitating the number of bars to maxBarCount\n series.setMaximumBarCount(maxBarCount);\n LAST_BAR_CLOSE_PRICE = series.getBar(series.getEndIndex()).getClosePrice();\n System.out.println(\" (limited to \" + maxBarCount + \"), close price = \" + LAST_BAR_CLOSE_PRICE);\n\n //live = CsvTicksLoader.load(\"2020_D.csv\");\n //live = CsvTicksLoader.load(\"2020_D.csv\");\n\n live = new BaseTimeSeries(selected.getName());\n\n for (ForwardTestBar forwardTestBar : selected.getBars()) {\n ZonedDateTime time = forwardTestBar.getEndTime();\n double open = forwardTestBar.getOpenPrice().doubleValue();\n double close = forwardTestBar.getClosePrice().doubleValue();\n double max = forwardTestBar.getMaxPrice().doubleValue();\n double min = forwardTestBar.getMinPrice().doubleValue();\n double vol = forwardTestBar.getVolume().doubleValue();\n\n live.addBar(new BaseBar(time, open, max, min, close, vol));\n }\n\n return series;\n }","public double getStandardDeviation() {\r\n\t\tdouble standDev=0;\r\n\t\tdouble avgD=getAverageDuration();\r\n\t\tdouble zaehler=0;\r\n\t\tfor(int a=0;a<populationSize();a++) {\r\n\t\t\tzaehler+=Math.pow((avgD-getTour(a).getDuration()), 2);\r\n\t\t}\r\n\t\tstandDev=Math.pow((zaehler/populationSize()), 0.5);\r\n\t\treturn standDev;\r\n\t }","public double[][] deconstructTimeSeries( ArrayList< Double > series, \n int numberOfVariables, \n int lag )\n {\n int N = series.size() - numberOfVariables * lag;\n while( N < 0 )\n {\n numberOfVariables--;\n N = series.size() - (numberOfVariables) * lag;\n }\n double[][] variables = new double[ numberOfVariables ][ N ];\n\n for( int i=0; i<numberOfVariables; i++ )\n {\n for( int j=0; j<N; j++ )\n {\n variables[ i ][ j ] = series.get( i * lag + j );\n }\n }\n\n return variables;\n }","public void resetGraph(){\n removeAllSeries();\n removeSeries(xySeries);\n removeSeries(currentPoint);\n xySeries = new PointsGraphSeries<>();\n currentPoint = new PointsGraphSeries<>();\n initGraph();\n }","@Override\n\t\tpublic void update(Observable o, Object arg) {\n\t\t\tif (series.size() > HISTORY_SIZE) {\n\t\t\t\tseries.removeFirst();\n\t\t\t}\n\t\t\t// Get the signal strength as Asu level\n\t\t\tint ssAsu = ssSampler.getSignalStrength()\n\t\t\t\t\t.getGsmSignalStrength();\n\t\t\t// add the latest history sample:\n\t\t\tseries.addLast(null, ssAsu);\n\t\t\tplot.redraw();\n\t\t}","public void updateLineChart()\r\n {\r\n hoursLoggedSeries = new XYChart.Series<>();\r\n hoursLoggedSeries.setName(Integer.toString(LocalDate.now().getYear()));\r\n lineChart.getData().clear();\r\n \r\n try{\r\n populateSeriesFromDB();\r\n }\r\n catch(SQLException e)\r\n {\r\n System.err.println(e.getMessage());\r\n }\r\n lineChart.getData().addAll(hoursLoggedSeries);\r\n }","public void removeLayer(int index){\n history.removeIndex(index);\n historyValues.removeIndex(index);\n }","void unsetDSTSavings();","public void average() {\n\t\tif (averaged)\n\t\t\tthrow new AssertionError(\"can't average twice!!\");\n\t\t\n\t\tscale = 1.0/(double)t;\n\t\t\n\t\tfor (int i = 0; i < w.length; i++)\n\t\t\tw[i] = (t+1.0)*w[i] - wupdates[i];\n\t\t\n\t\taveraged = true;\n\t\n\t}","@Override\n\tprotected IStorer<CommandEvent> createDataStorer() {\n\t\treturn null;\n\t}","public static boolean removeLinearTrendFromSubArray( double[] array, \r\n double[] subarray, double timestep ) {\r\n if ((array == null) || (array.length == 0) || (subarray == null) ||\r\n (subarray.length == 0) ||(Math.abs(timestep - 0.0) < OPS_EPSILON)) {\r\n return false;\r\n }\r\n int lenfull = array.length;\r\n int lensub = subarray.length;\r\n double[] time = makeTimeArray( timestep, lensub);\r\n SimpleRegression regression = new SimpleRegression();\r\n for(int i = 0; i < lensub; i++) {\r\n regression.addData(time[i], subarray[i]);\r\n }\r\n //Remove the trend from the first array\r\n double[] fulltime = makeTimeArray( timestep, lenfull);\r\n for (int i = 0; i < lenfull; i++) {\r\n array [i] = array[i] - regression.predict(fulltime[i]);\r\n }\r\n return true;\r\n }","private void invokeHistoricChart(StockData sd)\r\n {\r\n\r\n debug(\"invokeHistoricChart(\" + sd.getName().toString() + \") - preparing to change\");\r\n\r\n String fileName = getString(\"WatchListTableModule.edit.historic_details_basic_name\") + sd.getSymbol().getDataSz();\r\n java.io.File theFile = new java.io.File(fileName);\r\n\r\n // First signal the chart if we are demo mode, we really do not want a problem\r\n // Then create a new instance of our chart.\r\n com.stockmarket.chart.ohlc.HighLowStockChart.DEMO_MODE = this.DEMO_MODE;\r\n com.stockmarket.chart.ohlc.HighLowStockChart chart = new com.stockmarket.chart.ohlc.HighLowStockChart();\r\n // If we have historic data send it through\r\n if (theFile.exists())\r\n {\r\n debug(\"invokeHistoricChart() - \" + fileName + \" exists preparing the Historic Chart\");\r\n chart.displayHighLowChart(fileName);\r\n }\r\n else if (this.DEMO_MODE)\r\n {\r\n // If we are demo mode display the Chart. With its default data\r\n javax.swing.JOptionPane.showMessageDialog(\r\n null,\r\n \"Application is in DEMO Mode\\n\"\r\n + \"No historic data for \"\r\n + sd.getName().toString()\r\n + \" exists, displaying default graph.\");\r\n chart.displayHighLowChart(null);\r\n }\r\n else\r\n {\r\n // If we are live mode and no historic data - tell the user to try later.\r\n // This is the case where the user reached a item to display as a chart\r\n // before the program has finished downloading.\r\n javax.swing.JOptionPane.showMessageDialog(\r\n null,\r\n \"Application has no historic data for \" + sd.getName().toString() + \"\\nTry again later!\");\r\n }\r\n\r\n debug(\"invokeHistoricChart() - Processing completed\");\r\n }","private void fill() {\n\t\tseries1.clear();\n\t\tint m = 50;\n\t\tdouble tmpX, tmpZ;\n\n\t\tfor (double x=-m; x <= +m; x++) {\n\t\t\ttmpX = MathUtils.sqr(x/30);\n\t\t\tfor (double z=-m; z <= +m; z++) {\n\t\t\t\ttmpZ = MathUtils.sqr(z/30);\n\t\t\t\ttmpZ = Math.sqrt(tmpX+tmpZ);\n\t\t\t\tseries1.add(x, 4*Math.cos(3*tmpZ)*Math.exp(-0.5*tmpZ), z);\n\t\t\t}\n\t\t}\n\t }","public void decreaseCurrentDepth(){\n currentDepth--;\n if (this.children == null) generateChildren();\n else {\n for (Node child : this.children) child.decreaseCurrentDepth();\n }\n }","public void setDepth(double depth) {\n\t\t this.depth = depth;\n\t }","public void setAveragePosition(Double averagePosition) {\r\n this.averagePosition = averagePosition;\r\n }","public TimeDecayingAverage(double phi, double average) {\n setPhi(phi);\n this.average = average;\n }","public static Double getGaussian(final Double average, final Double relStdDeviation){\r\n\t\tDouble absStdDeviation = average * relStdDeviation;\r\n\t\treturn new Random().nextGaussian() * absStdDeviation + average; \r\n\t}","public MachineState performDepthCharge(MachineState state, final int[] theDepth) throws TransitionDefinitionException, MoveDefinitionException, StateMachineException {\n int nDepth = 0;\n while(!isTerminal(state)) {\n nDepth++;\n\n //System.out.println(\"!\");\n //System.out.println(getRandomJointMove(state));\n //System.out.println(\"!\");\n\n state = getNextStateDestructively(state, getRandomJointMove(state));\n }\n if(theDepth != null)\n theDepth[0] = nDepth;\n return state;\n }","public void setTempAvgNightly(Double tempAvgNightly) {\r\n\t\tthis.tempAvgNightly = tempAvgNightly;\r\n\t}","public void unselect() {\n for (int i = 0; i < series.size(); i++) {\n series.setItemSliced(i, false, false, true);\n }\n }","public double denormalize(double value, String attributeTag);","public void reset() {\n this.count = 0;\n this.average = 0.0;\n }","public void tegnTre() {\r\n tegneBrett.getChildren().clear();\r\n if (root != null) {\r\n tegnTre(root, tegneBrett.getWidth() / 2, høydeAvstand,\r\n tegneBrett.getWidth() / 4);\r\n }\r\n }","public void disableDashedHighlightLine() { this.mHighlightDashPathEffect = null; }","public final void dup() {\n\t\tif (size > 0) {\n\t\t\tdouble topMostValue = stack[index];\n\t\t\tpush(topMostValue);\n\t\t}\n\t}","public void deleteMin() {\n if (isEmpty()) throw new NoSuchElementException(\"Symbol table underflow\");\n root = deleteMin(root);\n// TODO:adding check for assurance\n }","protected void resetEstimatedSpan(int childIndex, int count) {\n while (--count >= 0) {\n ViewLayoutState child = getChild(childIndex);\n View childView = child.getView();\n if (childView instanceof EstimatedSpanView) {\n ((EstimatedSpanView)childView).setEstimatedSpan(false);\n }\n childIndex++;\n }\n }","public Builder clearNormal() {\n \n normal_ = false;\n onChanged();\n return this;\n }","public void setTempAvgDaily(Double tempAvgDaily) {\r\n\t\tthis.tempAvgDaily = tempAvgDaily;\r\n\t}","@Test\n\tpublic void averageWorksForModeSteps() {\n\t\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\n\t\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 10, 0)); // constant function = 10\n\t\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\n\t\tt1.addValues(TimeSeriesUtils.createStepFunction(5, 20, 25, 20, 0)); // constant function = 20\n\t\tt0.setInterpolationMode(InterpolationMode.STEPS);\n\t\tt1.setInterpolationMode(InterpolationMode.STEPS);\n\t\tfinal ReadOnlyTimeSeries avg = MultiTimeSeriesUtils.getAverageTimeSeries(Arrays.<ReadOnlyTimeSeries> asList(t0, t1), 0, Long.MAX_VALUE, true, null, false);\n\t\t// one data point outside time range, one boundary value should be added\n\t\tAssert.assertEquals(\"Time series sum has wrong number of data points\", 13, avg.size());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 10, avg.getValue(7).getValue().getIntegerValue());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 15, avg.getValue(23).getValue().getIntegerValue());\n\t\tAssert.assertEquals(\"Unexpected value in time series sum\", 15, avg.getValue(100).getValue().getIntegerValue());\n\t}","public TimeDecayingAverage(double phi) {\n this(phi, 0D);\n }","public void resetAccumulatedDoseRate() throws ConnectionFailedException, NoSuchSimulationException\n\t{\n\t\tString jsonEvent = \"{\"\n\t\t\t\t+ \" \\\"Command\\\": \\\"reset accumulated dose rate\\\",\"\n\t\t\t\t+ \" \\\"Sensor\\\": \\\"i27\\\",\"\n\t\t\t\t+ \" \\\"Id\\\": \\\"\" + sessionID + \"\\\"\"\n\t\t\t\t+ \"}\";\n\t\tconnection.sendPOSTEvent(\"sensors/event\", jsonEvent);\n\t}","@Override\n public void unDraw() {\n index--;\n }","public static WeatherDataModel dailyForecastFromJson(final JSONObject jsonObject) throws JSONException {\n final WeatherDataModel model = new WeatherDataModel();\n List<WeatherDataModel> list = model.getDailyForecast();\n for(int i=0; i<jsonObject.getJSONArray(\"list\").length(); i++) {\n list.add(dailyWeatherElement(jsonObject.getJSONArray(\"list\").getJSONObject(i)));\n }\n return model;\n }","private double calculateAverage(Candle[] cd) {\n double sum = 0; \r\n for(Candle c : cd) {\r\n sum += c.getClose();\r\n }\r\n return sum/cd.length;\r\n \r\n }","public Builder clearNormal() {\n if (normalBuilder_ == null) {\n normal_ = null;\n onChanged();\n } else {\n normal_ = null;\n normalBuilder_ = null;\n }\n\n return this;\n }","public static BigDecimal calculateMean(Position position) {\n BigDecimal meanStockPrice = new BigDecimal(\"0.0\");\n\n // Increment through the data and sum them all up\n for (int i = 0; i < position.getHistoricalDataSize(); i++) {\n meanStockPrice = meanStockPrice.add(position.getHistoricalData().get(i).getAdjClose());\n }\n\n meanStockPrice = meanStockPrice\n .divide(new BigDecimal(position.getHistoricalDataSize()), divisionScale, RoundingMode.UP);\n\n position.setMeanPrice(meanStockPrice);\n return meanStockPrice;\n }","public double movingAverage(int periods, int t)\n {\n if(periods>t + 1 || periods<1)\n throw new IndexOutOfBoundsException(\"MA(\" + periods + \") is undefined at time \" + t);\n double sum = 0.0;\n for(int i = t - periods + 1; i<=t; i++)\n sum += x[i];\n return sum/periods;\n }","private void removeOldestPoint() {\n PathPoint p = points.get(points.size() - length - 1);\n // if points has 5 points (0-4), length=3, then remove points(5-3-1)=points(1) leaving 2-4 which is correct\n float t = p.t - firstTimestamp;\n st -= t;\n sx -= p.x;\n sy -= p.y;\n stt -= t * t;\n sxt -= p.x * t;\n syt -= p.y * t;\n }","public static Element undressAbsOld(F a, Ring ring){\n if (a.name==F.ABS){ \n if (a.X[0] instanceof F) {Element ee=undressAbs(((F)(a.X[0])), ring); if(ee!=null) return ee;}\n return a.X[0]; } \n Element[] nX=null; boolean flagAbs=false;\n if (a.name==F.MULTIPLY) { nX=new Element[a.X.length];\n for (int i = 0; i < a.X.length; i++) {\n if ((a.X[i] instanceof F)&&(((F)a.X[i]).name==F.ABS)) {\n Element ee=((F)a.X[i]).X[0];\n flagAbs=true;\n if (ee instanceof F){\n ee = undressAbs(((F)ee), ring);\n nX[i]= (ee==null)? ((F)a.X[i]).X[0]: ee;\n } else {\n nX[i] = ee;\n }\n }\n else if ((a.X[i].isItNumber(ring))&&(!a.X[i].isNegative())) nX[i]= a.X[i];\n else return null;\n } return (flagAbs)? new F (F.MULTIPLY, nX) : null;\n }\n if (a.name==F.DIVIDE) { nX=new Element[2];\n for (int i = 0; i < 2; i++) {\n if ((a.X[i] instanceof F)&&(((F)a.X[i]).name==F.ABS)){ Element ee=((F)a.X[i]).X[0]; flagAbs=true;\n if ( (ee instanceof F)){ ee= undressAbs(((F)ee), ring); nX[i]= (ee==null)? ((F)a.X[i]).X[0]:ee;}}\n else if ((a.X[i].isItNumber(ring))&&(!a.X[i].isNegative())) nX[i]= a.X[i];\n else return null;\n }\n return (flagAbs)? new F (F.DIVIDE, nX) : null;\n } return null;\n }","public void clearDateALR() {\r\n\t\t//System.out.println(\"Clear= \" + counter);\r\n\t\twhile (historyDate.size() != counter) {\r\n\t\t\thistoryDate.removeLast();\r\n\t\t\thistoryAL.removeLast();\r\n\t\t}\r\n\t}","public Builder setAvgTreatment(double value) {\n \n avgTreatment_ = value;\n onChanged();\n return this;\n }","@Nonnull \r\n\tpublic static <T> Observable<T> prune(\r\n\t\t\t@Nonnull final Observable<? extends T> source,\r\n\t\t\t@Nonnull final Scheduler scheduler\r\n\t) {\r\n\t\treturn replay(source, 1, scheduler);\r\n\t}","public void setMovingAverageSamples(int count)\n {\n NumAvgSamples = count;\n }","public void deleteMin() {\n if (isEmpty()) throw new NoSuchElementException(\"Symbol table underflow\");\n root = deleteMin(root);\n }","public static TwitterTrend convertTrend(JSONObject obj) throws JSONException\n\t{\n\t\tTwitterTrend res=new TwitterTrend();\t\t\n\t\tres.setName(obj.getString(\"name\"));\n\t\tres.setUrl(obj.getString(\"url\"));\n\t\t\n\t\treturn res;\n\t}","public MovingAverage(int size) {\n q = new LinkedList();\n this.size = size;\n sum = 0;\n }","private void removeGravity(SensorEvent event){\n\n final float alpha = 0.8f;\n\n // Isolate the force of gravity with the low-pass filter.\n mGravity[0] = alpha * mGravity[0] + (1 - alpha) * event.values[0];\n mGravity[1] = alpha * mGravity[1] + (1 - alpha) * event.values[1];\n mGravity[2] = alpha * mGravity[2] + (1 - alpha) * event.values[2];\n\n // Remove the gravity contribution with the high-pass filter.\n mLinearAcceleration[0] = event.values[0] - mGravity[0];\n mLinearAcceleration[1] = event.values[1] - mGravity[1];\n mLinearAcceleration[2] = event.values[2] - mGravity[2];\n\n }","public Builder clearParentMonsterIndex() {\n \n parentMonsterIndex_ = 0;\n onChanged();\n return this;\n }","@Test\r\n\tpublic void exerciseMovingAverage() {\n\t\tList<Integer> temparaturArray = Arrays.asList(8, 7, 6, 6, 7, 7, 8, 10, 13, 16, 10, 20, 23, 26, 30, 29, 27, 45, 24, 23, 20, 18, 15, 11);\r\n\t\tObservable<Integer> temparaturSequence = Observable\r\n\t\t\t\t.interval(0, 1L, TimeUnit.HOURS, testScheduler)\r\n\t\t\t\t.take(temparaturArray.size())\r\n\t\t\t\t.map(i -> temparaturArray.get(i.intValue()));\r\n\t\t\r\n\t\t// TODO: calculate the moving average (SMA) of the given temperature sequence (each hour of a single day).\r\n\t\t// use the previous three values for each data point.\r\n // HINT: use a suitable overload of the same method used in \"Batching\"\r\n // and then calculate the average of each batch using LINQ\r\n // HINT: don't forget to pass the scheduler\r\n\t\tObservable<Double> movingAverage = Observable.empty();\r\n\r\n\t\t// verify\r\n\t\tTestSubscriber<Double> testSubscriber = new TestSubscriber<>();\r\n\t\tmovingAverage.subscribe(testSubscriber);\r\n\r\n\t\t// let the time elapse until completion\r\n\t\ttestScheduler.advanceTimeBy(1, TimeUnit.DAYS);\r\n\t\t\r\n\t\tlog(testSubscriber.getOnNextEvents());\r\n\t\t\r\n\t\ttestSubscriber.assertNoErrors();\r\n\t\ttestSubscriber.assertCompleted();\r\n\t\t\r\n\t\t// expected values:\r\n\t\tList<Double> expected = Arrays.asList(\r\n\t\t\t\t7.0, 6.333333333333333, 6.333333333333333, 6.666666666666667, 7.333333333333333, \r\n\t\t\t\t8.333333333333334, 10.333333333333334, 13.0, 13.0, 15.333333333333334, \r\n\t\t\t\t17.666666666666668, 23.0, 26.333333333333332, 28.333333333333332, \r\n\t\t\t\t28.666666666666668, 33.666666666666664, 32.0, 30.666666666666668, \r\n\t\t\t\t22.333333333333332, 20.333333333333332, 17.666666666666668, 14.666666666666666, \r\n\t\t\t\t// the last two values have limited input, i.e.\r\n\t\t\t\t// (15+11)/2 and (11)/1\r\n\t\t\t\t13.0, 11.0);\r\n\t\ttestSubscriber.assertReceivedOnNext(expected);\r\n\t\t\r\n\t}","public IntegrityHistory getTrend() {\n\t\tRunList<?> tempRuns = job.getBuilds();\n\t\treturn new IntegrityHistory(tempRuns);\n\t}","public MovingAverage(int size) {\r\n this.size = size;\r\n }","public MovingAverage(int size) {\n value = new int[size];\n }"],"string":"[\n \"private static double calculateMovingAverage(JsArrayNumber history) {\\n double[] vals = new double[history.length()];\\n long size = history.length();\\n double sum = 0.0;\\n double mSum = 0.0;\\n long mCount = 0;\\n\\n // Check for sufficient data\\n if (size >= 8) {\\n // Clone the array and Calculate sum of the values\\n for (int i = 0; i < size; i++) {\\n vals[i] = history.get(i);\\n sum += vals[i];\\n }\\n double mean = sum / size;\\n\\n // Calculate variance for the set\\n double varianceTemp = 0.0;\\n for (int i = 0; i < size; i++) {\\n varianceTemp += Math.pow(vals[i] - mean, 2);\\n }\\n double variance = varianceTemp / size;\\n double standardDev = Math.sqrt(variance);\\n\\n // Standardize the Data\\n for (int i = 0; i < size; i++) {\\n vals[i] = (vals[i] - mean) / standardDev;\\n }\\n\\n // Calculate the average excluding outliers\\n double deviationRange = 2.0;\\n\\n for (int i = 0; i < size; i++) {\\n if (vals[i] <= deviationRange && vals[i] >= -deviationRange) {\\n mCount++;\\n mSum += history.get(i);\\n }\\n }\\n\\n } else {\\n // Calculate the average (not enough data points to remove outliers)\\n mCount = size;\\n for (int i = 0; i < size; i++) {\\n mSum += history.get(i);\\n }\\n }\\n\\n return mSum / mCount;\\n }\",\n \"public Builder clearAvgTreatment() {\\n \\n avgTreatment_ = 0D;\\n onChanged();\\n return this;\\n }\",\n \"public void unaverage() {\\n\\t\\tif (!averaged)\\n\\t\\t\\tthrow new AssertionError(\\\"can't unaverage twice!!\\\");\\n\\t\\t\\n\\t\\tfor (int i = 0; i < w.length; i++)\\n\\t\\t\\tw[i] = (w[i] + wupdates[i])/(t+1.0);\\n\\t\\t\\n\\t\\tscale = 1.0;\\n\\t\\taveraged = false;\\n\\t}\",\n \"void decrementOldDepth() {\\n mOldDepth--;\\n }\",\n \"public Series removeLinearTrend(double c, double r)\\n {\\n Series oscillator = new Series();\\n oscillator.x = new double[oscillator.size = size];\\n if(size>1)\\n oscillator.r = new double[size - 1];\\n for(int t = 0; t<size; t++)\\n {\\n oscillator.x[t] = x[t] - c - r*t;\\n if(t>0)\\n oscillator.r[t - 1] = this.r[t - 1] - r;\\n }\\n return oscillator;\\n }\",\n \"@Test\\n\\tpublic void MovingAverage() {\\n\\t\\tList<Double> high = new ArrayList<Double>();\\n\\t\\t// high = highPriceList();\\n\\t\\tfor (Double data2 : high) {\\n\\t\\t\\tSystem.out.println(data2);\\n\\t\\t}\\n\\t\\t// double[] testData = { 1, 2, 3, 4, 5, 5, 4, 3, 2, 1 };\\n\\t\\tint[] windowSizes = { 3 };\\n\\n\\t\\tfor (int windSize : windowSizes) {\\n\\t\\t\\tStock_data_controller ma = new Stock_data_controller();\\n\\t\\t\\tma.Stock_controller(windSize);\\n\\t\\t\\tfor (double x : high) {\\n\\t\\t\\t\\tma.newNum(x);\\n\\t\\t\\t\\tSystem.out.println(\\\"Next number = \\\" + x + \\\", SimpleMovingAvg = \\\" + ma.getAvg());\\n\\t\\t\\t}\\n\\t\\t\\tSystem.out.println();\\n\\t\\t}\\n\\t}\",\n \"void decrementNewDepth() {\\n mNewDepth--;\\n }\",\n \"public void clearYAvg() {\\n\\t\\tyStats.clear();\\n\\t}\",\n \"public Builder clearAvgControl() {\\n \\n avgControl_ = 0D;\\n onChanged();\\n return this;\\n }\",\n \"public Builder clearDepth() {\\n \\n depth_ = 0;\\n onChanged();\\n return this;\\n }\",\n \"private XYSeries createSeries() {\\r\\n return createSeries(0);\\r\\n }\",\n \"public void undo() {\\n firePropertyChange(\\\"undo\\\", null, \\\"enable\\\");\\n final Drawing removeMe = myDrawingArray.get(myDrawingArray.size() - 1);\\n myDrawingArray.remove(removeMe);\\n myUndoStack.push(removeMe);\\n myCurrentShape = new Drawing(new Line2D.Double(), Color.WHITE, 0);\\n if (myDrawingArray.isEmpty()) {\\n firePropertyChange(\\\"stack\\\", null, EMPTY_STRING);\\n }\\n repaint();\\n }\",\n \"public void decreaseDepth() {\\n currentDepth--;\\n }\",\n \"private void drawChart() throws ParseException {\\n Calendar cal = new GregorianCalendar();\\n cal.setTime(new Date());\\n cal.set(Calendar.DAY_OF_MONTH, -7);\\n cal.set(Calendar.HOUR_OF_DAY, 0);\\n cal.set(Calendar.MINUTE, 0);\\n cal.set(Calendar.SECOND, 0);\\n cal.set(Calendar.MILLISECOND, 0);\\n Date startTime = cal.getTime();\\n Date dayEnd = new Date();\\n\\n historyChart.setBackgroundColor(Color.WHITE);\\n historyChart.setDrawBorders(true);\\n\\n\\n ArrayList<String> xAxis = new ArrayList<>();\\n ArrayList<Float> calories = new ArrayList<>();\\n ArrayList<Float> calcium = new ArrayList<>();\\n ArrayList<Float> sodium = new ArrayList<>();\\n ArrayList<Float> carbs = new ArrayList<>();\\n ArrayList<Float> cholestrol = new ArrayList<>();\\n ArrayList<Float> iron = new ArrayList<>();\\n ArrayList<Float> protien = new ArrayList<>();\\n ArrayList<Float> sugar = new ArrayList<>();\\n ArrayList<Float> totalfat = new ArrayList<>();\\n\\n NutritionHistory instance = NutritionHistory.getInstance();\\n NutritionHistory.getInstance().getNutritionInformation(startTime, dayEnd, nutritionInformation -> {\\n DatabaseReference mDatabase = FirebaseDatabase.getInstance().getReference();\\n FirebaseUser mCurrentUser = FirebaseAuth.getInstance().getCurrentUser();\\n mDatabase.child(\\\"account\\\").child(mCurrentUser.getUid()).addListenerForSingleValueEvent(new ValueEventListener() {\\n @Override\\n public void onDataChange(@NonNull DataSnapshot dataSnapshot) {\\n\\n double caloriesNeeded = 2000L;\\n for (DataSnapshot data : dataSnapshot.getChildren()) {\\n switch (data.getKey()) {\\n case \\\"calories\\\":\\n caloriesNeeded = Double.parseDouble(String.valueOf(data.getValue()));\\n }\\n }\\n\\n NutrientConverter converter = new NutrientConverter(caloriesNeeded);\\n\\n NutritionInformation.NutritionInformationBuilder builder = new NutritionInformation.NutritionInformationBuilder();\\n NutritionInformation current = builder.build();\\n\\n Long[] days = nutritionInformation.keySet().stream().toArray(Long[]::new);\\n Arrays.sort(days);\\n\\n for(Long day: days) {\\n xAxis.add(sdf2.format(new Date(day)).toString());\\n calories.add(converter.convert(\\\"Calories\\\", (float) nutritionInformation.get(day).getCalories()));\\n calcium.add(converter.convert(\\\"Calcium\\\", (float) nutritionInformation.get(day).getCalcium()));\\n sodium.add(converter.convert(\\\"Sodium\\\", (float)nutritionInformation.get(day).getSodium()));\\n carbs.add(converter.convert(\\\"Carbohydrates\\\", (float) nutritionInformation.get(day).getCarbohydrates()));\\n cholestrol.add(converter.convert(\\\"Cholesterol\\\", (float)nutritionInformation.get(day).getCholesterol()));\\n iron.add(converter.convert(\\\"Iron\\\", (float)nutritionInformation.get(day).getIron()));\\n protien.add(converter.convert(\\\"Protein\\\", (float)nutritionInformation.get(day).getProtein()));\\n sugar.add(converter.convert(\\\"Sugar\\\", (float)nutritionInformation.get(day).getSugar()));\\n totalfat.add(converter.convert(\\\"Total Fat\\\", (float)nutritionInformation.get(day).getTotalFat()));\\n }\\n Log.i(\\\"HERE\\\", xAxis.toString());\\n LineDataSet dataCalories = addValues(\\\"Calories\\\", calories);\\n dataCalories.setColor(Color.RED);\\n dataCalories.setLineWidth(2f);\\n\\n LineDataSet dataCalcium = addValues(\\\"Calcium\\\",calcium);\\n dataCalcium.setColor(Color.rgb(181, 126\\t, 220));\\n dataCalcium.setLineWidth(2f);\\n\\n LineDataSet dataSodium = addValues(\\\"Sodium\\\", sodium);\\n dataSodium.setColor(Color.BLUE);\\n dataSodium.setLineWidth(2f);\\n\\n LineDataSet dataCarbs = addValues(\\\"Carbohydrates\\\",carbs);\\n dataCarbs.setColor(Color.GREEN);\\n dataCarbs.setLineWidth(2f);\\n\\n LineDataSet dataCholesterol = addValues(\\\"Cholesterol\\\", cholestrol);\\n dataCholesterol.setColor(Color.YELLOW);\\n dataCholesterol.setLineWidth(2f);\\n\\n LineDataSet dataIron = addValues(\\\"Iron\\\",iron);\\n dataIron.setColor(Color.BLACK);\\n dataIron.setLineWidth(2f);\\n\\n LineDataSet dataProtein = addValues(\\\"Protein\\\", protien);\\n dataProtein.setColor(Color.CYAN);\\n dataProtein.setLineWidth(2f);\\n\\n LineDataSet dataSugar = addValues(\\\"Sugar\\\",sugar);\\n dataSugar.setColor(Color.MAGENTA);\\n dataSugar.setLineWidth(2f);\\n\\n LineDataSet dataTotalFat = addValues(\\\"Total Fat\\\", totalfat);\\n dataTotalFat.setColor(Color.rgb(248\\t,131, 121));\\n dataTotalFat.setLineWidth(2f);\\n\\n LineData lineData = new LineData(dataCalories, dataCalcium ,dataSodium, dataCarbs, dataIron, dataSugar, dataProtein, dataTotalFat, dataCholesterol);\\n historyChart.setData(lineData);\\n historyChart.getXAxis().setDrawAxisLine(true);\\n historyChart.setVisibleXRange(0, xAxis.size() - 1);\\n historyChart.getXAxis().setValueFormatter(new MyXAxisValueFormatter(xAxis));\\n historyChart.getXAxis().setPosition(XAxis.XAxisPosition.BOTTOM);\\n historyChart.enableScroll();\\n historyChart.getDescription().setEnabled(false);\\n historyChart.getXAxis().setLabelCount(7, true);\\n historyChart.setExtraBottomOffset(20f);\\n }\\n\\n @Override\\n public void onCancelled(@NonNull DatabaseError databaseError) {\\n\\n }\\n });\\n });\\n\\n designChart(xAxis);\\n historyChart.invalidate();\\n }\",\n \"public void removeRandomLimitedDepth(){\\n Node[] nodes = getRandomNonterminalNode(true); //limited depth so suppress trunc's destructiveness.\\n if (nodes == null)\\n return;\\n \\n // Generate random DecisionNode to replace\\n DecisionNode replacementNode = DecisionNode.getRandom();\\n \\n // Update prev reference\\n if (nodes[PREV].left == nodes[CURR]){\\n //U.pl(\\\"Truncing: \\\" + nodes[PREV] + \\\", \\\" + nodes[CURR] + \\\", \\\" + nodes[NEXT]);\\n nodes[PREV].left = replacementNode;\\n } else {\\n //U.pl(\\\"Truncing: \\\" + nodes[PREV] + \\\", \\\" + nodes[CURR] + \\\", \\\" + nodes[NEXT]);\\n nodes[PREV].right = replacementNode;\\n }\\n }\",\n \"private void DeleteBurnInsOnPreviousSamples() {\\n\\t\\tif (gibbs_sample_num <= num_gibbs_burn_in + 1 && gibbs_sample_num >= 2){\\n\\t\\t\\tgibbs_samples_of_bart_trees[gibbs_sample_num - 2] = null;\\n\\t\\t}\\n\\t}\",\n \"public void undoAll() {\\n firePropertyChange(\\\"array\\\", null, EMPTY_STRING);\\n myDrawingArray.clear();\\n myUndoStack.clear();\\n myCurrentShape = new Drawing(new Line2D.Double(), Color.WHITE, 0);\\n repaint();\\n }\",\n \"public Builder clearSeasonCaptureScore() {\\n \\n seasonCaptureScore_ = 0;\\n onChanged();\\n return this;\\n }\",\n \"public void clearXAvg() {\\n\\t\\txStats.clear();\\n\\t}\",\n \"public void StandardDeviation(){\\r\\n\\t\\tAverage();\\r\\n\\t\\tif (count<=1){\\r\\n\\t\\t\\tSystem.out.println(\\\"The Standard Deviation is \\\"+0.0);\\r\\n\\t\\t}\\r\\n\\t\\telse {\\r\\n\\t\\t\\tStandardDeviation=(float)Math.sqrt((Total2-Total*Total/count)/(count-1));\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public static boolean removeLinearTrend( double[] array, double timestep ) {\\r\\n if ((array == null) || (array.length == 0) ||\\r\\n (Math.abs(timestep - 0.0) < OPS_EPSILON)) {\\r\\n return false;\\r\\n }\\r\\n int len = array.length;\\r\\n double[] time = makeTimeArray( timestep, len);\\r\\n SimpleRegression regression = new SimpleRegression();\\r\\n for(int i = 0; i < len; i++) {\\r\\n regression.addData(time[i], array[i]);\\r\\n }\\r\\n //Remove the trend from the array\\r\\n for (int i = 0; i < len; i++) {\\r\\n array [i] = array[i] - regression.predict(time[i]);\\r\\n }\\r\\n return true;\\r\\n }\",\n \"public void deleteHistory() {\\n weatherRepo.deleteAll();\\n }\",\n \"void incrementOldDepth() {\\n mOldDepth++;\\n }\",\n \"public MutableDouble subtract(double value) {\\n\\t\\tmDouble -= value;\\n\\t\\treturn this;\\n\\t}\",\n \"public Builder removeStocks(int index) {\\n if (stocksBuilder_ == null) {\\n ensureStocksIsMutable();\\n stocks_.remove(index);\\n onChanged();\\n } else {\\n stocksBuilder_.remove(index);\\n }\\n return this;\\n }\",\n \"public void removeTopLevels() {\\n for (Map.Entry<Hierarchy,HierarchyAccessImpl> entry\\n : hierarchyGrants.entrySet())\\n {\\n final HierarchyAccessImpl hierarchyAccess = entry.getValue();\\n if (hierarchyAccess.topLevel != null) {\\n final HierarchyAccessImpl hierarchyAccessClone =\\n new HierarchyAccessImpl(\\n hierarchyAccess.hierarchy,\\n hierarchyAccess.access,\\n null,\\n hierarchyAccess.bottomLevel,\\n hierarchyAccess.rollupPolicy);\\n hierarchyAccessClone.memberGrants.putAll(\\n hierarchyAccess.memberGrants);\\n entry.setValue(hierarchyAccessClone);\\n }\\n }\\n }\",\n \"public static < T > BasicOrderedSeries< T > copy( final BasicOrderedSeries< T > series )\\n\\t{\\n\\t\\tRequire.notNull( series );\\n\\t\\tfinal BasicOrderedSeries< T > copy = new BasicOrderedSeries< T >( series.size() );\\n\\t\\t\\n\\t\\tfor( BasicOrderedSeries.Entry< Double, T > entry : series )\\n\\t\\t{\\n\\t\\t\\tcopy.add( entry.getKey(), entry.getElement() );\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn copy;\\n\\t}\",\n \"private void renewPreview() {\\r\\n\\t\\tint start = 0;\\r\\n\\t\\tsurface.clear();\\r\\n\\t\\tfor (start = 0; start < myHistoryManager.historys.size(); start++) {\\r\\n\\t\\t\\tAbstractHistory history = myHistoryManager.historys.get(start);\\r\\n\\t\\t\\tif (history.getType() == \\\"AddHistory\\\") {\\r\\n\\t\\t\\t\\tPoint endPos = ((AddHistory) history).endPos;\\r\\n\\t\\t\\t\\tMyColor pathColor = ((AddHistory) history).pathColor;\\r\\n\\t\\t\\t\\tstrokeSize = ((AddHistory) history).strokeSize;\\r\\n\\t\\t\\t\\tdouble x = endPos.getVector2().getX();\\r\\n\\t\\t\\t\\tdouble y = endPos.getVector2().getY();\\r\\n\\r\\n\\t\\t\\t\\tif (strokePointCount == 1) {\\r\\n\\t\\t\\t\\t\\t/* set stroke color, size, and shadow */\\r\\n\\t\\t\\t\\t\\tcanvas_context.setStrokeStyle(pathColor.getColorCode());\\r\\n\\t\\t\\t\\t\\tcanvas_context.setFillStyle(pathColor.getColorCode());\\r\\n\\t\\t\\t\\t\\tcanvas_context.setLineWidth(strokeSize);\\r\\n\\t\\t\\t\\t\\tcanvas_context.setLineCap(LineCap.ROUND);\\r\\n\\t\\t\\t\\t\\tcanvas_context.setLineJoin(LineJoin.ROUND);\\r\\n\\t\\t\\t\\t\\tcanvas_context.stroke();\\r\\n\\t\\t\\t\\t\\tcanvas_context.beginPath();\\r\\n\\t\\t\\t\\t\\tcanvas_context.moveTo(x, y);\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tcanvas_context.lineTo(x, y);\\r\\n\\t\\t\\t\\tstrokePointCount++;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t} else if (history.getType() == \\\"PathHeadHistory\\\") {\\r\\n\\t\\t\\t\\tstrokePointCount = 0; \\r\\n\\t\\t\\t\\tstrokePointCount++;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\tcanvas_context.stroke();\\r\\n\\t\\t\\r\\n\\t}\",\n \"public double[][] deconstructTimeSeries( double[] series, \\n int numberOfVariables, \\n int N, \\n int lag )\\n {\\n double[][] variables = new double[ numberOfVariables ][ N ];\\n\\n for( int i=0; i<numberOfVariables; i++ )\\n {\\n int c = 0;\\n for( int j=0; j<N; j++ )\\n {\\n variables[ i ][ j ] = series[ i * lag + c++ ];\\n }\\n }\\n\\n return variables;\\n }\",\n \"public void roundUndo() {\\n roundsHistory.pop();\\n updateGameDescriptorAfterUndo();\\n }\",\n \"public BegsBuilder preserveEdgeAttribute(StdAttribute attribute) {\\n return preserveEdgeAttribute(attribute.name());\\n }\",\n \"public double[][] deconstructTimeSeries( double[] series, \\n int numberOfVariables, \\n int lag )\\n {\\n int N = series.length - numberOfVariables * lag;\\n while( N < 0 )\\n {\\n numberOfVariables--;\\n N = series.length - (numberOfVariables) * lag;\\n }\\n double[][] variables = new double[ numberOfVariables ][ N ];\\n\\n for( int i=0; i<numberOfVariables; i++ )\\n {\\n for( int j=0; j<N; j++ )\\n {\\n variables[ i ][ j ] = series[ i * lag + j ];\\n }\\n }\\n\\n return variables;\\n }\",\n \"public Builder clearDepth() {\\n bitField0_ = (bitField0_ & ~0x00000004);\\n depth_ = 0F;\\n onChanged();\\n return this;\\n }\",\n \"@Test\\n\\tpublic void averageWorksForModeNone() {\\n\\t\\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\\n\\t\\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 10, 0)); // constant function = 10\\n\\t\\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\\n\\t\\tt1.addValues(TimeSeriesUtils.createStepFunction(5, 20, 25, 20, 0)); // constant function = 20\\n\\t\\tfinal ReadOnlyTimeSeries avg = MultiTimeSeriesUtils.getAverageTimeSeries(Arrays.<ReadOnlyTimeSeries> asList(t0, t1), 0, Long.MAX_VALUE, true, null, false);\\n\\t\\tAssert.assertEquals(\\\"Time series sum has wrong number of data points\\\", 13, avg.size());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 15, avg.getValue(20).getValue().getIntegerValue());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 20, avg.getValue(45).getValue().getIntegerValue());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 10, avg.getValue(80).getValue().getIntegerValue());\\n\\t}\",\n \"protected void resetShapeTimeline(RMShape aShape)\\n{\\n RMTimeline timeline = aShape.getTimeline(); if(timeline==null) return;\\n aShape.undoerDisable();\\n int time = timeline.getTime(); timeline.setTime(0); timeline.setTime(time);\\n aShape.undoerEnable();\\n}\",\n \"public void resetStats() {\\n recentStats = new Stats();\\n }\",\n \"public static ArrayList<HistoPointData> parseHistoricalJson(String json) {\\n \\n ArrayList<HistoPointData> dailyData = new ArrayList<>();\\n \\n try {\\n JSONObject jsonObj = new JSONObject(json);\\n jsonObj = jsonObj.getJSONObject(\\\"query\\\").getJSONObject(\\\"results\\\");\\n JSONArray jsonArr = jsonObj.getJSONArray(\\\"quote\\\");\\n int length = jsonArr.length();\\n for (int i = 0; i < length; i++) {\\n // Do stuff...\\n JSONObject currObj = jsonArr.optJSONObject(length - (i+1)); // I need to reverse the order so the date is acs\\n HistoPointData currPoint = new HistoPointData(currObj);\\n dailyData.add(currPoint);\\n }\\n } catch (JSONException e) {\\n e.printStackTrace();\\n }\\n\\n return dailyData;\\n }\",\n \"void resetStationStatistics() {\\n\\n if (dbg) System.out.println(\\\"<br>resetStationStatistics: \\\" +\\n \\\"depthMin, depthMax = \\\" + depthMin + \\\" \\\" + depthMax);\\n if (dbg) System.out.println(\\\"<br>resetStationStatistics: \\\" +\\n \\\"sampleCount = \\\" + sampleCount);\\n if (dbg) System.out.println(\\\"<br>resetStationStatistics: \\\" +\\n \\\"stationSampleCount = \\\" + stationSampleCount);\\n if (dbg) System.out.println(\\\"<br>resetStationStatistics: \\\" +\\n \\\"sampleRejectCount = \\\" + sampleRejectCount);\\n if (dbg) System.out.println(\\\"<br>resetStationStatistics: \\\" +\\n \\\"stationSampleRejectCount = \\\" + stationSampleRejectCount);\\n\\n depthMin = 9999.99f;\\n depthMax = -9999.99f;\\n stationSampleCount = 0;\\n stationSampleRejectCount = 0;\\n prevDepth = 0f;\\n\\n }\",\n \"public double[][] deconstructTimeSeries( ArrayList< Double > series, \\n int numberOfVariables, \\n int N, \\n int lag )\\n {\\n double[][] variables = new double[ numberOfVariables ][ N ];\\n\\n for( int i=0; i<numberOfVariables; i++ )\\n {\\n int c = 0;\\n for( int j=0; j<N; j++ )\\n {\\n variables[ i ][ j ] = series.get( i * lag + c++ );\\n }\\n }\\n\\n return variables;\\n }\",\n \"public Builder clearDepth() {\\n bitField0_ = (bitField0_ & ~0x00000002);\\n depth_ = 0F;\\n onChanged();\\n return this;\\n }\",\n \"@Override\\n void updateStockLevels(){\\n for(OrderLine orderLine : products){\\n Product p = orderLine.getProduct();\\n //remove quantity ordered from stock levels\\n p.updateNumInStock(-orderLine.getQuantity());\\n }\\n }\",\n \"private XYChart.Series<String, Double> resizeDataSeries(XYChart.Series<String, Double> series) {\\n int adjustedNumPoints = MAX_DATA_POINTS - 2;\\n int adjustedLength = series.getData().size() - 2;\\n double divisor = adjustedLength - adjustedNumPoints + 1;\\n double removeEvery = adjustedLength / divisor;\\n double indexSum = removeEvery;\\n int[] skippedIndices = new int[adjustedLength - adjustedNumPoints];\\n int skippedIndex = (int) Math.ceil(indexSum);\\n int i = 0;\\n\\n XYChart.Series<String, Double> resizedSeries = new XYChart.Series<>();\\n XYChart.Data<String, Double> first = series.getData().get(0);\\n XYChart.Data<String, Double> last = series.getData().get(series.getData().size() - 1);\\n\\n series.getData().remove(0);\\n series.getData().remove(series.getData().size() - 1);\\n resizedSeries.getData().add(first);\\n\\n while (skippedIndex < adjustedLength) {\\n skippedIndices[i] = skippedIndex;\\n indexSum += removeEvery;\\n skippedIndex = (int) Math.ceil(indexSum);\\n i += 1;\\n }\\n\\n i = 0;\\n skippedIndex = skippedIndices[i];\\n\\n for (int j = 0; j < series.getData().size(); j++) {\\n if (j != skippedIndex) {\\n resizedSeries.getData().add(series.getData().get(j));\\n } else if (i < skippedIndices.length - 1) {\\n i += 1;\\n skippedIndex = skippedIndices[i];\\n }\\n }\\n\\n resizedSeries.getData().add(last);\\n\\n return resizedSeries;\\n }\",\n \"@Generated(hash = 74421150)\\n public synchronized void resetForecast() {\\n forecast = null;\\n }\",\n \"@Override\\n protected void seriesRemoved(Series<X,Y> series) {\\n for(XYChart.Data<X,Y> xydata : series.getData() ){\\n Node holder = xydata.getNode();\\n getPlotChildren().remove(holder);\\n }\\n removeSeriesFromDisplay(series);\\n }\",\n \"private void disposeUndoHistory() {\\n \\t\\tfHistory.dispose(fUndoContext, true, true, true);\\n \\t}\",\n \"@Deprecated\\n public Graph getLineage(String hash, String direction, int maxDepth)\\n {\\n Graph result = new Graph();\\n Vertex previousVertex = null;\\n Vertex currentVertex = null;\\n int depth = 0;\\n Queue<Vertex> queue = new LinkedList<>();\\n queue.add(getVertex(hash));\\n while(!queue.isEmpty() && depth < maxDepth)\\n {\\n currentVertex = queue.remove();\\n String currentHash = currentVertex.getAnnotation(\\\"hash\\\");\\n if(DIRECTION_ANCESTORS.startsWith(direction.toLowerCase()))\\n queue.addAll(getParents(currentHash).vertexSet());\\n else if(DIRECTION_DESCENDANTS.startsWith(direction.toLowerCase()))\\n queue.addAll(getChildren(currentHash).vertexSet());\\n\\n result.putVertex(currentVertex);\\n if(previousVertex != null)\\n result.putEdge(getEdge(previousVertex.getAnnotation(\\\"hash\\\"), currentHash));\\n\\n previousVertex = currentVertex;\\n depth++;\\n }\\n\\n return result;\\n }\",\n \"private TimeSeries initMovingTimeSeries(int maxBarCount) {\\n //TimeSeries series = CsvTradesLoader.loadBitstampSeries();\\n //TimeSeries series = CsvTicksLoader.load(\\\"EURUSD_Daily_201701020000_201712290000.csv\\\");\\n //TimeSeries series = CsvTicksLoader.load(\\\"2019_D.csv\\\");\\n\\n TimeSeries series = new BaseTimeSeries(selected.getPeriod().getName());\\n\\n for (PeriodBar periodBar : selected.getPeriod().getBars()) {\\n ZonedDateTime time = periodBar.getEndTime();\\n double open = periodBar.getOpenPrice().doubleValue();\\n double close = periodBar.getClosePrice().doubleValue();\\n double max = periodBar.getMaxPrice().doubleValue();\\n double min = periodBar.getMinPrice().doubleValue();\\n double vol = periodBar.getVolume().doubleValue();\\n\\n series.addBar(new BaseBar(time, open, max, min, close, vol));\\n }\\n\\n System.out.print(\\\"Initial bar count: \\\" + series.getBarCount());\\n // Limitating the number of bars to maxBarCount\\n series.setMaximumBarCount(maxBarCount);\\n LAST_BAR_CLOSE_PRICE = series.getBar(series.getEndIndex()).getClosePrice();\\n System.out.println(\\\" (limited to \\\" + maxBarCount + \\\"), close price = \\\" + LAST_BAR_CLOSE_PRICE);\\n\\n //live = CsvTicksLoader.load(\\\"2020_D.csv\\\");\\n //live = CsvTicksLoader.load(\\\"2020_D.csv\\\");\\n\\n live = new BaseTimeSeries(selected.getName());\\n\\n for (ForwardTestBar forwardTestBar : selected.getBars()) {\\n ZonedDateTime time = forwardTestBar.getEndTime();\\n double open = forwardTestBar.getOpenPrice().doubleValue();\\n double close = forwardTestBar.getClosePrice().doubleValue();\\n double max = forwardTestBar.getMaxPrice().doubleValue();\\n double min = forwardTestBar.getMinPrice().doubleValue();\\n double vol = forwardTestBar.getVolume().doubleValue();\\n\\n live.addBar(new BaseBar(time, open, max, min, close, vol));\\n }\\n\\n return series;\\n }\",\n \"public double getStandardDeviation() {\\r\\n\\t\\tdouble standDev=0;\\r\\n\\t\\tdouble avgD=getAverageDuration();\\r\\n\\t\\tdouble zaehler=0;\\r\\n\\t\\tfor(int a=0;a<populationSize();a++) {\\r\\n\\t\\t\\tzaehler+=Math.pow((avgD-getTour(a).getDuration()), 2);\\r\\n\\t\\t}\\r\\n\\t\\tstandDev=Math.pow((zaehler/populationSize()), 0.5);\\r\\n\\t\\treturn standDev;\\r\\n\\t }\",\n \"public double[][] deconstructTimeSeries( ArrayList< Double > series, \\n int numberOfVariables, \\n int lag )\\n {\\n int N = series.size() - numberOfVariables * lag;\\n while( N < 0 )\\n {\\n numberOfVariables--;\\n N = series.size() - (numberOfVariables) * lag;\\n }\\n double[][] variables = new double[ numberOfVariables ][ N ];\\n\\n for( int i=0; i<numberOfVariables; i++ )\\n {\\n for( int j=0; j<N; j++ )\\n {\\n variables[ i ][ j ] = series.get( i * lag + j );\\n }\\n }\\n\\n return variables;\\n }\",\n \"public void resetGraph(){\\n removeAllSeries();\\n removeSeries(xySeries);\\n removeSeries(currentPoint);\\n xySeries = new PointsGraphSeries<>();\\n currentPoint = new PointsGraphSeries<>();\\n initGraph();\\n }\",\n \"@Override\\n\\t\\tpublic void update(Observable o, Object arg) {\\n\\t\\t\\tif (series.size() > HISTORY_SIZE) {\\n\\t\\t\\t\\tseries.removeFirst();\\n\\t\\t\\t}\\n\\t\\t\\t// Get the signal strength as Asu level\\n\\t\\t\\tint ssAsu = ssSampler.getSignalStrength()\\n\\t\\t\\t\\t\\t.getGsmSignalStrength();\\n\\t\\t\\t// add the latest history sample:\\n\\t\\t\\tseries.addLast(null, ssAsu);\\n\\t\\t\\tplot.redraw();\\n\\t\\t}\",\n \"public void updateLineChart()\\r\\n {\\r\\n hoursLoggedSeries = new XYChart.Series<>();\\r\\n hoursLoggedSeries.setName(Integer.toString(LocalDate.now().getYear()));\\r\\n lineChart.getData().clear();\\r\\n \\r\\n try{\\r\\n populateSeriesFromDB();\\r\\n }\\r\\n catch(SQLException e)\\r\\n {\\r\\n System.err.println(e.getMessage());\\r\\n }\\r\\n lineChart.getData().addAll(hoursLoggedSeries);\\r\\n }\",\n \"public void removeLayer(int index){\\n history.removeIndex(index);\\n historyValues.removeIndex(index);\\n }\",\n \"void unsetDSTSavings();\",\n \"public void average() {\\n\\t\\tif (averaged)\\n\\t\\t\\tthrow new AssertionError(\\\"can't average twice!!\\\");\\n\\t\\t\\n\\t\\tscale = 1.0/(double)t;\\n\\t\\t\\n\\t\\tfor (int i = 0; i < w.length; i++)\\n\\t\\t\\tw[i] = (t+1.0)*w[i] - wupdates[i];\\n\\t\\t\\n\\t\\taveraged = true;\\n\\t\\n\\t}\",\n \"@Override\\n\\tprotected IStorer<CommandEvent> createDataStorer() {\\n\\t\\treturn null;\\n\\t}\",\n \"public static boolean removeLinearTrendFromSubArray( double[] array, \\r\\n double[] subarray, double timestep ) {\\r\\n if ((array == null) || (array.length == 0) || (subarray == null) ||\\r\\n (subarray.length == 0) ||(Math.abs(timestep - 0.0) < OPS_EPSILON)) {\\r\\n return false;\\r\\n }\\r\\n int lenfull = array.length;\\r\\n int lensub = subarray.length;\\r\\n double[] time = makeTimeArray( timestep, lensub);\\r\\n SimpleRegression regression = new SimpleRegression();\\r\\n for(int i = 0; i < lensub; i++) {\\r\\n regression.addData(time[i], subarray[i]);\\r\\n }\\r\\n //Remove the trend from the first array\\r\\n double[] fulltime = makeTimeArray( timestep, lenfull);\\r\\n for (int i = 0; i < lenfull; i++) {\\r\\n array [i] = array[i] - regression.predict(fulltime[i]);\\r\\n }\\r\\n return true;\\r\\n }\",\n \"private void invokeHistoricChart(StockData sd)\\r\\n {\\r\\n\\r\\n debug(\\\"invokeHistoricChart(\\\" + sd.getName().toString() + \\\") - preparing to change\\\");\\r\\n\\r\\n String fileName = getString(\\\"WatchListTableModule.edit.historic_details_basic_name\\\") + sd.getSymbol().getDataSz();\\r\\n java.io.File theFile = new java.io.File(fileName);\\r\\n\\r\\n // First signal the chart if we are demo mode, we really do not want a problem\\r\\n // Then create a new instance of our chart.\\r\\n com.stockmarket.chart.ohlc.HighLowStockChart.DEMO_MODE = this.DEMO_MODE;\\r\\n com.stockmarket.chart.ohlc.HighLowStockChart chart = new com.stockmarket.chart.ohlc.HighLowStockChart();\\r\\n // If we have historic data send it through\\r\\n if (theFile.exists())\\r\\n {\\r\\n debug(\\\"invokeHistoricChart() - \\\" + fileName + \\\" exists preparing the Historic Chart\\\");\\r\\n chart.displayHighLowChart(fileName);\\r\\n }\\r\\n else if (this.DEMO_MODE)\\r\\n {\\r\\n // If we are demo mode display the Chart. With its default data\\r\\n javax.swing.JOptionPane.showMessageDialog(\\r\\n null,\\r\\n \\\"Application is in DEMO Mode\\\\n\\\"\\r\\n + \\\"No historic data for \\\"\\r\\n + sd.getName().toString()\\r\\n + \\\" exists, displaying default graph.\\\");\\r\\n chart.displayHighLowChart(null);\\r\\n }\\r\\n else\\r\\n {\\r\\n // If we are live mode and no historic data - tell the user to try later.\\r\\n // This is the case where the user reached a item to display as a chart\\r\\n // before the program has finished downloading.\\r\\n javax.swing.JOptionPane.showMessageDialog(\\r\\n null,\\r\\n \\\"Application has no historic data for \\\" + sd.getName().toString() + \\\"\\\\nTry again later!\\\");\\r\\n }\\r\\n\\r\\n debug(\\\"invokeHistoricChart() - Processing completed\\\");\\r\\n }\",\n \"private void fill() {\\n\\t\\tseries1.clear();\\n\\t\\tint m = 50;\\n\\t\\tdouble tmpX, tmpZ;\\n\\n\\t\\tfor (double x=-m; x <= +m; x++) {\\n\\t\\t\\ttmpX = MathUtils.sqr(x/30);\\n\\t\\t\\tfor (double z=-m; z <= +m; z++) {\\n\\t\\t\\t\\ttmpZ = MathUtils.sqr(z/30);\\n\\t\\t\\t\\ttmpZ = Math.sqrt(tmpX+tmpZ);\\n\\t\\t\\t\\tseries1.add(x, 4*Math.cos(3*tmpZ)*Math.exp(-0.5*tmpZ), z);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t }\",\n \"public void decreaseCurrentDepth(){\\n currentDepth--;\\n if (this.children == null) generateChildren();\\n else {\\n for (Node child : this.children) child.decreaseCurrentDepth();\\n }\\n }\",\n \"public void setDepth(double depth) {\\n\\t\\t this.depth = depth;\\n\\t }\",\n \"public void setAveragePosition(Double averagePosition) {\\r\\n this.averagePosition = averagePosition;\\r\\n }\",\n \"public TimeDecayingAverage(double phi, double average) {\\n setPhi(phi);\\n this.average = average;\\n }\",\n \"public static Double getGaussian(final Double average, final Double relStdDeviation){\\r\\n\\t\\tDouble absStdDeviation = average * relStdDeviation;\\r\\n\\t\\treturn new Random().nextGaussian() * absStdDeviation + average; \\r\\n\\t}\",\n \"public MachineState performDepthCharge(MachineState state, final int[] theDepth) throws TransitionDefinitionException, MoveDefinitionException, StateMachineException {\\n int nDepth = 0;\\n while(!isTerminal(state)) {\\n nDepth++;\\n\\n //System.out.println(\\\"!\\\");\\n //System.out.println(getRandomJointMove(state));\\n //System.out.println(\\\"!\\\");\\n\\n state = getNextStateDestructively(state, getRandomJointMove(state));\\n }\\n if(theDepth != null)\\n theDepth[0] = nDepth;\\n return state;\\n }\",\n \"public void setTempAvgNightly(Double tempAvgNightly) {\\r\\n\\t\\tthis.tempAvgNightly = tempAvgNightly;\\r\\n\\t}\",\n \"public void unselect() {\\n for (int i = 0; i < series.size(); i++) {\\n series.setItemSliced(i, false, false, true);\\n }\\n }\",\n \"public double denormalize(double value, String attributeTag);\",\n \"public void reset() {\\n this.count = 0;\\n this.average = 0.0;\\n }\",\n \"public void tegnTre() {\\r\\n tegneBrett.getChildren().clear();\\r\\n if (root != null) {\\r\\n tegnTre(root, tegneBrett.getWidth() / 2, høydeAvstand,\\r\\n tegneBrett.getWidth() / 4);\\r\\n }\\r\\n }\",\n \"public void disableDashedHighlightLine() { this.mHighlightDashPathEffect = null; }\",\n \"public final void dup() {\\n\\t\\tif (size > 0) {\\n\\t\\t\\tdouble topMostValue = stack[index];\\n\\t\\t\\tpush(topMostValue);\\n\\t\\t}\\n\\t}\",\n \"public void deleteMin() {\\n if (isEmpty()) throw new NoSuchElementException(\\\"Symbol table underflow\\\");\\n root = deleteMin(root);\\n// TODO:adding check for assurance\\n }\",\n \"protected void resetEstimatedSpan(int childIndex, int count) {\\n while (--count >= 0) {\\n ViewLayoutState child = getChild(childIndex);\\n View childView = child.getView();\\n if (childView instanceof EstimatedSpanView) {\\n ((EstimatedSpanView)childView).setEstimatedSpan(false);\\n }\\n childIndex++;\\n }\\n }\",\n \"public Builder clearNormal() {\\n \\n normal_ = false;\\n onChanged();\\n return this;\\n }\",\n \"public void setTempAvgDaily(Double tempAvgDaily) {\\r\\n\\t\\tthis.tempAvgDaily = tempAvgDaily;\\r\\n\\t}\",\n \"@Test\\n\\tpublic void averageWorksForModeSteps() {\\n\\t\\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\\n\\t\\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 10, 0)); // constant function = 10\\n\\t\\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\\n\\t\\tt1.addValues(TimeSeriesUtils.createStepFunction(5, 20, 25, 20, 0)); // constant function = 20\\n\\t\\tt0.setInterpolationMode(InterpolationMode.STEPS);\\n\\t\\tt1.setInterpolationMode(InterpolationMode.STEPS);\\n\\t\\tfinal ReadOnlyTimeSeries avg = MultiTimeSeriesUtils.getAverageTimeSeries(Arrays.<ReadOnlyTimeSeries> asList(t0, t1), 0, Long.MAX_VALUE, true, null, false);\\n\\t\\t// one data point outside time range, one boundary value should be added\\n\\t\\tAssert.assertEquals(\\\"Time series sum has wrong number of data points\\\", 13, avg.size());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 10, avg.getValue(7).getValue().getIntegerValue());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 15, avg.getValue(23).getValue().getIntegerValue());\\n\\t\\tAssert.assertEquals(\\\"Unexpected value in time series sum\\\", 15, avg.getValue(100).getValue().getIntegerValue());\\n\\t}\",\n \"public TimeDecayingAverage(double phi) {\\n this(phi, 0D);\\n }\",\n \"public void resetAccumulatedDoseRate() throws ConnectionFailedException, NoSuchSimulationException\\n\\t{\\n\\t\\tString jsonEvent = \\\"{\\\"\\n\\t\\t\\t\\t+ \\\" \\\\\\\"Command\\\\\\\": \\\\\\\"reset accumulated dose rate\\\\\\\",\\\"\\n\\t\\t\\t\\t+ \\\" \\\\\\\"Sensor\\\\\\\": \\\\\\\"i27\\\\\\\",\\\"\\n\\t\\t\\t\\t+ \\\" \\\\\\\"Id\\\\\\\": \\\\\\\"\\\" + sessionID + \\\"\\\\\\\"\\\"\\n\\t\\t\\t\\t+ \\\"}\\\";\\n\\t\\tconnection.sendPOSTEvent(\\\"sensors/event\\\", jsonEvent);\\n\\t}\",\n \"@Override\\n public void unDraw() {\\n index--;\\n }\",\n \"public static WeatherDataModel dailyForecastFromJson(final JSONObject jsonObject) throws JSONException {\\n final WeatherDataModel model = new WeatherDataModel();\\n List<WeatherDataModel> list = model.getDailyForecast();\\n for(int i=0; i<jsonObject.getJSONArray(\\\"list\\\").length(); i++) {\\n list.add(dailyWeatherElement(jsonObject.getJSONArray(\\\"list\\\").getJSONObject(i)));\\n }\\n return model;\\n }\",\n \"private double calculateAverage(Candle[] cd) {\\n double sum = 0; \\r\\n for(Candle c : cd) {\\r\\n sum += c.getClose();\\r\\n }\\r\\n return sum/cd.length;\\r\\n \\r\\n }\",\n \"public Builder clearNormal() {\\n if (normalBuilder_ == null) {\\n normal_ = null;\\n onChanged();\\n } else {\\n normal_ = null;\\n normalBuilder_ = null;\\n }\\n\\n return this;\\n }\",\n \"public static BigDecimal calculateMean(Position position) {\\n BigDecimal meanStockPrice = new BigDecimal(\\\"0.0\\\");\\n\\n // Increment through the data and sum them all up\\n for (int i = 0; i < position.getHistoricalDataSize(); i++) {\\n meanStockPrice = meanStockPrice.add(position.getHistoricalData().get(i).getAdjClose());\\n }\\n\\n meanStockPrice = meanStockPrice\\n .divide(new BigDecimal(position.getHistoricalDataSize()), divisionScale, RoundingMode.UP);\\n\\n position.setMeanPrice(meanStockPrice);\\n return meanStockPrice;\\n }\",\n \"public double movingAverage(int periods, int t)\\n {\\n if(periods>t + 1 || periods<1)\\n throw new IndexOutOfBoundsException(\\\"MA(\\\" + periods + \\\") is undefined at time \\\" + t);\\n double sum = 0.0;\\n for(int i = t - periods + 1; i<=t; i++)\\n sum += x[i];\\n return sum/periods;\\n }\",\n \"private void removeOldestPoint() {\\n PathPoint p = points.get(points.size() - length - 1);\\n // if points has 5 points (0-4), length=3, then remove points(5-3-1)=points(1) leaving 2-4 which is correct\\n float t = p.t - firstTimestamp;\\n st -= t;\\n sx -= p.x;\\n sy -= p.y;\\n stt -= t * t;\\n sxt -= p.x * t;\\n syt -= p.y * t;\\n }\",\n \"public static Element undressAbsOld(F a, Ring ring){\\n if (a.name==F.ABS){ \\n if (a.X[0] instanceof F) {Element ee=undressAbs(((F)(a.X[0])), ring); if(ee!=null) return ee;}\\n return a.X[0]; } \\n Element[] nX=null; boolean flagAbs=false;\\n if (a.name==F.MULTIPLY) { nX=new Element[a.X.length];\\n for (int i = 0; i < a.X.length; i++) {\\n if ((a.X[i] instanceof F)&&(((F)a.X[i]).name==F.ABS)) {\\n Element ee=((F)a.X[i]).X[0];\\n flagAbs=true;\\n if (ee instanceof F){\\n ee = undressAbs(((F)ee), ring);\\n nX[i]= (ee==null)? ((F)a.X[i]).X[0]: ee;\\n } else {\\n nX[i] = ee;\\n }\\n }\\n else if ((a.X[i].isItNumber(ring))&&(!a.X[i].isNegative())) nX[i]= a.X[i];\\n else return null;\\n } return (flagAbs)? new F (F.MULTIPLY, nX) : null;\\n }\\n if (a.name==F.DIVIDE) { nX=new Element[2];\\n for (int i = 0; i < 2; i++) {\\n if ((a.X[i] instanceof F)&&(((F)a.X[i]).name==F.ABS)){ Element ee=((F)a.X[i]).X[0]; flagAbs=true;\\n if ( (ee instanceof F)){ ee= undressAbs(((F)ee), ring); nX[i]= (ee==null)? ((F)a.X[i]).X[0]:ee;}}\\n else if ((a.X[i].isItNumber(ring))&&(!a.X[i].isNegative())) nX[i]= a.X[i];\\n else return null;\\n }\\n return (flagAbs)? new F (F.DIVIDE, nX) : null;\\n } return null;\\n }\",\n \"public void clearDateALR() {\\r\\n\\t\\t//System.out.println(\\\"Clear= \\\" + counter);\\r\\n\\t\\twhile (historyDate.size() != counter) {\\r\\n\\t\\t\\thistoryDate.removeLast();\\r\\n\\t\\t\\thistoryAL.removeLast();\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public Builder setAvgTreatment(double value) {\\n \\n avgTreatment_ = value;\\n onChanged();\\n return this;\\n }\",\n \"@Nonnull \\r\\n\\tpublic static <T> Observable<T> prune(\\r\\n\\t\\t\\t@Nonnull final Observable<? extends T> source,\\r\\n\\t\\t\\t@Nonnull final Scheduler scheduler\\r\\n\\t) {\\r\\n\\t\\treturn replay(source, 1, scheduler);\\r\\n\\t}\",\n \"public void setMovingAverageSamples(int count)\\n {\\n NumAvgSamples = count;\\n }\",\n \"public void deleteMin() {\\n if (isEmpty()) throw new NoSuchElementException(\\\"Symbol table underflow\\\");\\n root = deleteMin(root);\\n }\",\n \"public static TwitterTrend convertTrend(JSONObject obj) throws JSONException\\n\\t{\\n\\t\\tTwitterTrend res=new TwitterTrend();\\t\\t\\n\\t\\tres.setName(obj.getString(\\\"name\\\"));\\n\\t\\tres.setUrl(obj.getString(\\\"url\\\"));\\n\\t\\t\\n\\t\\treturn res;\\n\\t}\",\n \"public MovingAverage(int size) {\\n q = new LinkedList();\\n this.size = size;\\n sum = 0;\\n }\",\n \"private void removeGravity(SensorEvent event){\\n\\n final float alpha = 0.8f;\\n\\n // Isolate the force of gravity with the low-pass filter.\\n mGravity[0] = alpha * mGravity[0] + (1 - alpha) * event.values[0];\\n mGravity[1] = alpha * mGravity[1] + (1 - alpha) * event.values[1];\\n mGravity[2] = alpha * mGravity[2] + (1 - alpha) * event.values[2];\\n\\n // Remove the gravity contribution with the high-pass filter.\\n mLinearAcceleration[0] = event.values[0] - mGravity[0];\\n mLinearAcceleration[1] = event.values[1] - mGravity[1];\\n mLinearAcceleration[2] = event.values[2] - mGravity[2];\\n\\n }\",\n \"public Builder clearParentMonsterIndex() {\\n \\n parentMonsterIndex_ = 0;\\n onChanged();\\n return this;\\n }\",\n \"@Test\\r\\n\\tpublic void exerciseMovingAverage() {\\n\\t\\tList<Integer> temparaturArray = Arrays.asList(8, 7, 6, 6, 7, 7, 8, 10, 13, 16, 10, 20, 23, 26, 30, 29, 27, 45, 24, 23, 20, 18, 15, 11);\\r\\n\\t\\tObservable<Integer> temparaturSequence = Observable\\r\\n\\t\\t\\t\\t.interval(0, 1L, TimeUnit.HOURS, testScheduler)\\r\\n\\t\\t\\t\\t.take(temparaturArray.size())\\r\\n\\t\\t\\t\\t.map(i -> temparaturArray.get(i.intValue()));\\r\\n\\t\\t\\r\\n\\t\\t// TODO: calculate the moving average (SMA) of the given temperature sequence (each hour of a single day).\\r\\n\\t\\t// use the previous three values for each data point.\\r\\n // HINT: use a suitable overload of the same method used in \\\"Batching\\\"\\r\\n // and then calculate the average of each batch using LINQ\\r\\n // HINT: don't forget to pass the scheduler\\r\\n\\t\\tObservable<Double> movingAverage = Observable.empty();\\r\\n\\r\\n\\t\\t// verify\\r\\n\\t\\tTestSubscriber<Double> testSubscriber = new TestSubscriber<>();\\r\\n\\t\\tmovingAverage.subscribe(testSubscriber);\\r\\n\\r\\n\\t\\t// let the time elapse until completion\\r\\n\\t\\ttestScheduler.advanceTimeBy(1, TimeUnit.DAYS);\\r\\n\\t\\t\\r\\n\\t\\tlog(testSubscriber.getOnNextEvents());\\r\\n\\t\\t\\r\\n\\t\\ttestSubscriber.assertNoErrors();\\r\\n\\t\\ttestSubscriber.assertCompleted();\\r\\n\\t\\t\\r\\n\\t\\t// expected values:\\r\\n\\t\\tList<Double> expected = Arrays.asList(\\r\\n\\t\\t\\t\\t7.0, 6.333333333333333, 6.333333333333333, 6.666666666666667, 7.333333333333333, \\r\\n\\t\\t\\t\\t8.333333333333334, 10.333333333333334, 13.0, 13.0, 15.333333333333334, \\r\\n\\t\\t\\t\\t17.666666666666668, 23.0, 26.333333333333332, 28.333333333333332, \\r\\n\\t\\t\\t\\t28.666666666666668, 33.666666666666664, 32.0, 30.666666666666668, \\r\\n\\t\\t\\t\\t22.333333333333332, 20.333333333333332, 17.666666666666668, 14.666666666666666, \\r\\n\\t\\t\\t\\t// the last two values have limited input, i.e.\\r\\n\\t\\t\\t\\t// (15+11)/2 and (11)/1\\r\\n\\t\\t\\t\\t13.0, 11.0);\\r\\n\\t\\ttestSubscriber.assertReceivedOnNext(expected);\\r\\n\\t\\t\\r\\n\\t}\",\n \"public IntegrityHistory getTrend() {\\n\\t\\tRunList<?> tempRuns = job.getBuilds();\\n\\t\\treturn new IntegrityHistory(tempRuns);\\n\\t}\",\n \"public MovingAverage(int size) {\\r\\n this.size = size;\\r\\n }\",\n \"public MovingAverage(int size) {\\n value = new int[size];\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.50266796","0.46697804","0.46451804","0.46282667","0.4593762","0.45455372","0.44172737","0.43962234","0.420705","0.41807774","0.41794118","0.41414747","0.4132326","0.41083792","0.4102095","0.40482166","0.40200713","0.39770633","0.39330322","0.3888552","0.38744983","0.38616708","0.38515133","0.38463315","0.3831367","0.38272756","0.3823852","0.3804518","0.37999597","0.37990287","0.37955663","0.37845546","0.37834486","0.378223","0.3780065","0.37795925","0.37716323","0.37687546","0.37636375","0.3758503","0.3755686","0.37487814","0.37487075","0.37466103","0.3743315","0.37385768","0.373799","0.37337118","0.3733496","0.37305784","0.3727402","0.3718563","0.37076396","0.37071705","0.37067947","0.36949974","0.36949134","0.36931637","0.36928743","0.36923942","0.36822024","0.36781627","0.36757246","0.36627218","0.36585027","0.36486536","0.3646036","0.36432406","0.36307","0.36297184","0.36231965","0.36190376","0.36139902","0.36137083","0.36049145","0.36039844","0.36005375","0.3596645","0.3595232","0.35803694","0.35777017","0.3576307","0.3574009","0.3573066","0.3572284","0.35714948","0.35650814","0.3560683","0.35597587","0.3558543","0.3556684","0.3555053","0.35538927","0.35485375","0.35459593","0.3543464","0.35407162","0.3525464","0.3523865","0.35224238"],"string":"[\n \"0.50266796\",\n \"0.46697804\",\n \"0.46451804\",\n \"0.46282667\",\n \"0.4593762\",\n \"0.45455372\",\n \"0.44172737\",\n \"0.43962234\",\n \"0.420705\",\n \"0.41807774\",\n \"0.41794118\",\n \"0.41414747\",\n \"0.4132326\",\n \"0.41083792\",\n \"0.4102095\",\n \"0.40482166\",\n \"0.40200713\",\n \"0.39770633\",\n \"0.39330322\",\n \"0.3888552\",\n \"0.38744983\",\n \"0.38616708\",\n \"0.38515133\",\n \"0.38463315\",\n \"0.3831367\",\n \"0.38272756\",\n \"0.3823852\",\n \"0.3804518\",\n \"0.37999597\",\n \"0.37990287\",\n \"0.37955663\",\n \"0.37845546\",\n \"0.37834486\",\n \"0.378223\",\n \"0.3780065\",\n \"0.37795925\",\n \"0.37716323\",\n \"0.37687546\",\n \"0.37636375\",\n \"0.3758503\",\n \"0.3755686\",\n \"0.37487814\",\n \"0.37487075\",\n \"0.37466103\",\n \"0.3743315\",\n \"0.37385768\",\n \"0.373799\",\n \"0.37337118\",\n \"0.3733496\",\n \"0.37305784\",\n \"0.3727402\",\n \"0.3718563\",\n \"0.37076396\",\n \"0.37071705\",\n \"0.37067947\",\n \"0.36949974\",\n \"0.36949134\",\n \"0.36931637\",\n \"0.36928743\",\n \"0.36923942\",\n \"0.36822024\",\n \"0.36781627\",\n \"0.36757246\",\n \"0.36627218\",\n \"0.36585027\",\n \"0.36486536\",\n \"0.3646036\",\n \"0.36432406\",\n \"0.36307\",\n \"0.36297184\",\n \"0.36231965\",\n \"0.36190376\",\n \"0.36139902\",\n \"0.36137083\",\n \"0.36049145\",\n \"0.36039844\",\n \"0.36005375\",\n \"0.3596645\",\n \"0.3595232\",\n \"0.35803694\",\n \"0.35777017\",\n \"0.3576307\",\n \"0.3574009\",\n \"0.3573066\",\n \"0.3572284\",\n \"0.35714948\",\n \"0.35650814\",\n \"0.3560683\",\n \"0.35597587\",\n \"0.3558543\",\n \"0.3556684\",\n \"0.3555053\",\n \"0.35538927\",\n \"0.35485375\",\n \"0.35459593\",\n \"0.3543464\",\n \"0.35407162\",\n \"0.3525464\",\n \"0.3523865\",\n \"0.35224238\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7574231"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":19798,"cells":{"query":{"kind":"string","value":"Create a new historical series from this one by removing the given linear trend. This method is intended for use on logarithmic series only. Applying it to a linear series is possible, but would be a conceptual error."},"document":{"kind":"string","value":"public Series removeLinearTrend(double c, double r)\n {\n Series oscillator = new Series();\n oscillator.x = new double[oscillator.size = size];\n if(size>1)\n oscillator.r = new double[size - 1];\n for(int t = 0; t<size; t++)\n {\n oscillator.x[t] = x[t] - c - r*t;\n if(t>0)\n oscillator.r[t - 1] = this.r[t - 1] - r;\n }\n return oscillator;\n }"},"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":["public static boolean removeLinearTrend( double[] array, double timestep ) {\r\n if ((array == null) || (array.length == 0) ||\r\n (Math.abs(timestep - 0.0) < OPS_EPSILON)) {\r\n return false;\r\n }\r\n int len = array.length;\r\n double[] time = makeTimeArray( timestep, len);\r\n SimpleRegression regression = new SimpleRegression();\r\n for(int i = 0; i < len; i++) {\r\n regression.addData(time[i], array[i]);\r\n }\r\n //Remove the trend from the array\r\n for (int i = 0; i < len; i++) {\r\n array [i] = array[i] - regression.predict(time[i]);\r\n }\r\n return true;\r\n }","public Series removeDelayedTrend(int depth)\n {\n if(depth<1 || depth>=size)\n throw new IndexOutOfBoundsException();\n Series oscillator = new Series();\n oscillator.x = new double[oscillator.size = size - depth];\n if(oscillator.size>1)\n oscillator.r = new double[oscillator.size - 1];\n for(int t = 0; t<oscillator.size; t++)\n {\n oscillator.x[t] = x[t + depth] - movingAverage(depth, t + depth);\n if(t>0)\n oscillator.r[t - 1] = Math.log(oscillator.x[t]/oscillator.x[t - 1]);\n }\n return oscillator;\n }","public Series logarithmic()\n {\n Series logarithmic = new Series();\n logarithmic.x = new double[logarithmic.size = size];\n logarithmic.r = r;\n for(int t = 0; t<size; t++)\n logarithmic.x[t] = Math.log(x[t]);\n return logarithmic;\n }","public static boolean removeLinearTrendFromSubArray( double[] array, \r\n double[] subarray, double timestep ) {\r\n if ((array == null) || (array.length == 0) || (subarray == null) ||\r\n (subarray.length == 0) ||(Math.abs(timestep - 0.0) < OPS_EPSILON)) {\r\n return false;\r\n }\r\n int lenfull = array.length;\r\n int lensub = subarray.length;\r\n double[] time = makeTimeArray( timestep, lensub);\r\n SimpleRegression regression = new SimpleRegression();\r\n for(int i = 0; i < lensub; i++) {\r\n regression.addData(time[i], subarray[i]);\r\n }\r\n //Remove the trend from the first array\r\n double[] fulltime = makeTimeArray( timestep, lenfull);\r\n for (int i = 0; i < lenfull; i++) {\r\n array [i] = array[i] - regression.predict(fulltime[i]);\r\n }\r\n return true;\r\n }","@Override\n\t\tpublic void update(Observable o, Object arg) {\n\t\t\tif (series.size() > HISTORY_SIZE) {\n\t\t\t\tseries.removeFirst();\n\t\t\t}\n\t\t\t// Get the signal strength as Asu level\n\t\t\tint ssAsu = ssSampler.getSignalStrength()\n\t\t\t\t\t.getGsmSignalStrength();\n\t\t\t// add the latest history sample:\n\t\t\tseries.addLast(null, ssAsu);\n\t\t\tplot.redraw();\n\t\t}","public void removeHistory(long _rowIndex) {\n\t// Delete the row.\n\t SQLiteDatabase db = SQLiteDatabase.openDatabase(context.getDatabasePath(DATABASE_NAME).getAbsolutePath(), null, SQLiteDatabase.CREATE_IF_NECESSARY);\n \n String sql = \"Delete from airtime_history where _id = \" + _rowIndex; \n db.execSQL(sql);\n db.close();\n }","public void updateLineChart()\r\n {\r\n hoursLoggedSeries = new XYChart.Series<>();\r\n hoursLoggedSeries.setName(Integer.toString(LocalDate.now().getYear()));\r\n lineChart.getData().clear();\r\n \r\n try{\r\n populateSeriesFromDB();\r\n }\r\n catch(SQLException e)\r\n {\r\n System.err.println(e.getMessage());\r\n }\r\n lineChart.getData().addAll(hoursLoggedSeries);\r\n }","private Line linearRegression(ArrayList<Point> points) {\n double sumx = 0.0, sumz = 0.0, sumx2 = 0.0;\n\n for (int i = 0; i < points.size(); i++) {\n Point curPoint = points.get(i);\n sumx += curPoint.x;\n sumz += curPoint.z;\n sumx2 += curPoint.x*curPoint.x;\n }\n\n double xbar = sumx/((double) points.size());\n double zbar = sumz/((double) points.size());\n\n double xxbar = 0.0, xzbar = 0.0;\n\n for (int i = 0; i < points.size(); i++) {\n Point curPoint = points.get(i);\n xxbar += (curPoint.x - xbar) * (curPoint.x - xbar);\n xzbar += (curPoint.x - xbar) * (curPoint.z - zbar);\n }\n\n double slope = xzbar / xxbar;\n double intercept = zbar - slope * xbar;\n\n return new Line(slope, intercept);\n }","public void removePlotData() {\n\t\tif (xySeries != null) {\n\t\t\tfor (int i = 0; i < xySeries.length; i++) {\n\t\t\t\tif (xySeries[i] != null) {\n\t\t\t\t\txySeries[i].clear();\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tseriesCount = 0;\n\t\txySeries = new XYSeries[seriesCount + 1];\n\t}","public void excluirUltimaLinha() {\n valor = venda.BuscaultValor(ultimacod) - ultimoValor;\n int tempqte = venda.BuscaQte(ultimacod) + ultimaQte;\n SubMatRemove(ultimoValor, Double.parseDouble(jTxtSubTotal.getText()));\n AtulizaBanco(ultimacod, fun.getMatricula(), valor, tempqte);\n ((DefaultTableModel) jTable1.getModel()).removeRow(jTable1.getRowCount() - 1);\n }","@Override\n\tpublic OnlineRegression copyNew() {\n\t\tBayesianLinearRegression copy = new BayesianLinearRegression(dimension, this.prioriMeans, prioriPrecision);\n\t\tcopy.weights = this.weights.copyNew();\n\t\tcopy.covariance = this.covariance.copyNew();\n\t\tcopy.b = this.b.copyNew();\n\t\tcopy.numTrainedInstances = this.numTrainedInstances;\n\t\treturn copy;\n\t}","@VTID(10)\n @UseDefaultValues(paramIndexMapping = {9}, optParamIndex = {0, 1, 2, 3, 4, 5, 6, 7, 8}, javaType = {com.exceljava.com4j.excel.XlTrendlineType.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.Int32, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_I4, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\"-4132\", \"80020004\", \"80020004\", \"80020004\", \"80020004\", \"80020004\", \"80020004\", \"80020004\", \"80020004\"})\n @ReturnValue(index=9)\n com.exceljava.com4j.excel.Trendline add();","void removeCalcValueListener(CalcValueListener l);","public void removeCallLog(CallLog callLog);","public NonLinear(double[] x, double[] y, RealValuedFunctionVA rf,\n\t\t\t Config config)\n\t{\n\t this(x, y, rf, config, null);\n\t}","@VTID(10)\n @UseDefaultValues(paramIndexMapping = {0, 1, 2, 3, 4, 5, 6, 7, 9}, optParamIndex = {8}, javaType = {java.lang.Object.class}, nativeType = {NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR}, literal = {\"80020004\"})\n @ReturnValue(index=9)\n com.exceljava.com4j.excel.Trendline add(\n @Optional @DefaultValue(\"-4132\") com.exceljava.com4j.excel.XlTrendlineType type,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object order,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object period,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object forward,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object backward,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object intercept,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object displayEquation,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object displayRSquared);","@VTID(10)\n @UseDefaultValues(paramIndexMapping = {0, 1, 2, 9}, optParamIndex = {3, 4, 5, 6, 7, 8}, javaType = {java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\"80020004\", \"80020004\", \"80020004\", \"80020004\", \"80020004\", \"80020004\"})\n @ReturnValue(index=9)\n com.exceljava.com4j.excel.Trendline add(\n @Optional @DefaultValue(\"-4132\") com.exceljava.com4j.excel.XlTrendlineType type,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object order,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object period);","public int removeHistory(String type, Date startDate, Date endDate);","@VTID(10)\n @UseDefaultValues(paramIndexMapping = {0, 1, 2, 3, 9}, optParamIndex = {4, 5, 6, 7, 8}, javaType = {java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\"80020004\", \"80020004\", \"80020004\", \"80020004\", \"80020004\"})\n @ReturnValue(index=9)\n com.exceljava.com4j.excel.Trendline add(\n @Optional @DefaultValue(\"-4132\") com.exceljava.com4j.excel.XlTrendlineType type,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object order,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object period,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object forward);","@VTID(10)\n @UseDefaultValues(paramIndexMapping = {0, 1, 2, 3, 4, 5, 6, 9}, optParamIndex = {7, 8}, javaType = {java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\"80020004\", \"80020004\"})\n @ReturnValue(index=9)\n com.exceljava.com4j.excel.Trendline add(\n @Optional @DefaultValue(\"-4132\") com.exceljava.com4j.excel.XlTrendlineType type,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object order,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object period,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object forward,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object backward,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object intercept,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object displayEquation);","private NonLinear(NonLinear existing) {\n\t this.rf = existing.rf;\n\t int n = existing.getNumberOfParameters();\n\t extendedParameters = new double[n+1];\n\t setParameters(new double[n]);\n\t}","@VTID(10)\n @UseDefaultValues(paramIndexMapping = {0, 1, 2, 3, 4, 5, 9}, optParamIndex = {6, 7, 8}, javaType = {java.lang.Object.class, java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\"80020004\", \"80020004\", \"80020004\"})\n @ReturnValue(index=9)\n com.exceljava.com4j.excel.Trendline add(\n @Optional @DefaultValue(\"-4132\") com.exceljava.com4j.excel.XlTrendlineType type,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object order,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object period,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object forward,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object backward,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object intercept);","@VTID(10)\n @UseDefaultValues(paramIndexMapping = {0, 9}, optParamIndex = {1, 2, 3, 4, 5, 6, 7, 8}, javaType = {java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\"80020004\", \"80020004\", \"80020004\", \"80020004\", \"80020004\", \"80020004\", \"80020004\", \"80020004\"})\n @ReturnValue(index=9)\n com.exceljava.com4j.excel.Trendline add(\n @Optional @DefaultValue(\"-4132\") com.exceljava.com4j.excel.XlTrendlineType type);","public static double[] findLinearTrend( double[] array, double timestep ) {\r\n if ((array == null) || (array.length == 0) ||\r\n (Math.abs(timestep - 0.0) < OPS_EPSILON)) {\r\n return new double[0];\r\n }\r\n int len = array.length;\r\n double[] time = makeTimeArray( timestep, len);\r\n SimpleRegression regression = new SimpleRegression();\r\n for(int i = 0; i < len; i++) {\r\n regression.addData(time[i], array[i]);\r\n }\r\n //Get the baseline function\r\n double[] baseline = new double[len];\r\n for (int i = 0; i < len; i++) {\r\n baseline[i] = regression.predict(time[i]);\r\n }\r\n return baseline;\r\n }","@VTID(10)\n @UseDefaultValues(paramIndexMapping = {0, 1, 2, 3, 4, 9}, optParamIndex = {5, 6, 7, 8}, javaType = {java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\"80020004\", \"80020004\", \"80020004\", \"80020004\"})\n @ReturnValue(index=9)\n com.exceljava.com4j.excel.Trendline add(\n @Optional @DefaultValue(\"-4132\") com.exceljava.com4j.excel.XlTrendlineType type,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object order,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object period,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object forward,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object backward);","public void clearHistory() {\n while (eqn != null) {\n eqn = eqn.next;\n }\n EquationList eqn = null;\n }","public void removeTerm(Term oldTerm)\r\n\t{\r\n\t\tArrayList<Term> terms = new ArrayList<Term>(Arrays.asList(this.terms));\r\n\t\tterms.remove(oldTerm);\r\n\t\tthis.terms = terms.toArray(new Term[0]);\t\t\r\n\t}","void clearHistoryData();","@VTID(10)\n @UseDefaultValues(paramIndexMapping = {0, 1, 9}, optParamIndex = {2, 3, 4, 5, 6, 7, 8}, javaType = {java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\"80020004\", \"80020004\", \"80020004\", \"80020004\", \"80020004\", \"80020004\", \"80020004\"})\n @ReturnValue(index=9)\n com.exceljava.com4j.excel.Trendline add(\n @Optional @DefaultValue(\"-4132\") com.exceljava.com4j.excel.XlTrendlineType type,\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object order);","public void removeOldRecords();","void unsetValuePeriod();","public void removeJbdTravelPointLog2013(final String logId);","public RenkoIndicator(TimeSeries series) {\r\n\t\tsuper(series);\r\n\t\tthis.series = series;\r\n\t}","public void clearDateALR() {\r\n\t\t//System.out.println(\"Clear= \" + counter);\r\n\t\twhile (historyDate.size() != counter) {\r\n\t\t\thistoryDate.removeLast();\r\n\t\t\thistoryAL.removeLast();\r\n\t\t}\r\n\t}","public void removeFinArFundsInActionAppliedHistory(FinArFundsInActionAppliedHistory finArFundsInActionAppliedHistory);","public void removeReadingPointListener(ReadingPointListener l) {\n\t\tlisteners.remove(l);\n\t}","public NonLinear(double[] x, double[] y, double sigma,\n\t\t\t RealValuedFunctionVA rf,\n\t\t\t Config config)\n\t{\n\t this(x, y, sigma, rf, config, null);\n\t}","public NonLinear(double[] x, double[] y, double[] sigma,\n\t\t\t RealValuedFunctionVA rf,\n\t\t\t Config config)\n\t{\n\t this(x, y, sigma, rf, config, null);\n\t}","public Builder clearLineage() {\n if (lineageBuilder_ == null) {\n lineage_ = alluxio.proto.journal.Lineage.LineageEntry.getDefaultInstance();\n onChanged();\n } else {\n lineageBuilder_.clear();\n }\n bitField0_ = (bitField0_ & ~0x00040000);\n return this;\n }","public void removeJpmProductSaleNew(final Long uniNo);","@Override\n @SuppressWarnings(\"fallthrough\")\n public Date remove(final int index) {\n final Date previous = get(index);\n switch (index) {\n case 0: date1 = date2; // Fallthrough\n case 1: date2 = Long.MIN_VALUE; break;\n }\n modCount++;\n return previous;\n }","@Override\n protected void seriesRemoved(Series<X,Y> series) {\n for(XYChart.Data<X,Y> xydata : series.getData() ){\n Node holder = xydata.getNode();\n getPlotChildren().remove(holder);\n }\n removeSeriesFromDisplay(series);\n }","public void removeLayer(int index){\n history.removeIndex(index);\n historyValues.removeIndex(index);\n }","public void removeData(double x, double y) {\n if (n > 0) {\n double dx = x - xbar;\n double dy = y - ybar;\n sumXX -= dx * dx * (double) n / (n - 1d);\n sumYY -= dy * dy * (double) n / (n - 1d);\n sumXY -= dx * dy * (double) n / (n - 1d);\n xbar -= dx / (n - 1.0);\n ybar -= dy / (n - 1.0);\n sumX -= x;\n sumY -= y;\n n--;\n\n if (n > 2) {\n distribution.setDegreesOfFreedom(n - 2);\n }\n }\n }","public final void undo() {\n\t\tthis.historyManager.undo();\n\t}","private LinearAVF cloneLinearAVF() {\n LinearAVF avf = new LinearAVF();\n // value function\n Arrays.stream(Criterion.values())\n .forEach(\n c -> {\n if (c.hasBooleanDomain()) {\n avf.setInternalValueFunction(c, this.getInternalBooleanValueFunction(c));\n } else if (c.isDoubleCrescent()) {\n avf.setInternalValueFunction(c, this.getInternalLinearValueFunction(c));\n } else if (c.isDoubleDecrease()) {\n avf.setInternalValueFunction(c, this.getInternalReversedLinearValueFunction(c));\n }\n });\n // weights\n Arrays.stream(Criterion.values())\n .forEach(criterion -> avf.weight.put(criterion, this.weight.get(criterion)));\n return avf;\n }","public void removeProgressListener() {\n this.listener = new SilentProgressListener();\n }","public void unsetObservedLobeAnalysis() {\n this.observedLobeAnalysis = null;\n }","public void removeJbdSendRecordHist(final String id);","static Line pointSlopeToLine(PointDouble p, double slope) {\n Line line = new Line();\n line.a = -slope; // always -slope TODO: solve case slope=INFINITY\n line.b = 1; // always 1\n line.c = -((line.a * p.x) + (line.b * p.y));\n return line;\n }","public void removeLines(ArrayList<Line> currentLines) {\n if (currentLines != null) {\n for (int i = 0; i < currentLines.size(); i++) {\n lines.remove(currentLines.get(i));\n }\n }\n }","public void removeTrail(Trail removedTrail) {\n for(int i = 0; i < trails.size(); i++) {\n if(trails.get(i).getTrailCode() == removedTrail.getTrailCode()) {\n trails.remove(i);\n break;\n }\n }\n }","public void stopChronometer(View view) throws IOException {\n timer.stop();\n timer_running = false;\n saveData();\n\t\tIntent intent = new Intent(this, MainActivity.class);\n\t\tstartActivity(intent);\n \n }","public SfJdDocAudit unAuditFN(SfJdDocAudit qx, RequestMeta requestMeta) {\n wfEngineAdapter.rework(qx.getComment(), qx, requestMeta);\r\n return qx;\r\n }","public abstract EventSeries removeEventSeries(User user, String id);","public abstract void detatchHistoricalWrapper();","public void setLinearOffset(Vector2 linearOffset) {\n jniSetLinearOffset(addr, linearOffset.x, linearOffset.y);\n }","public Delta removeStat(String stat) {\n Map<String, Map<String, String>> parsedStat = StatsHolder.parseStat(stat);\n Map<String, Map<String, String>> currentStats = _removedStats.getMapFields();\n for (String statName : parsedStat.keySet()) {\n currentStats.put(statName, parsedStat.get(statName));\n }\n return this;\n }","public ILoString removeFirst(int n) {\n if (n > 0) {\n return this.rest.removeFirst(n - 1);\n }\n\n else {\n return this;\n }\n }","public static int removeTrendWithBestFit( double[] inarr, double timestep) {\r\n if ((inarr == null) || (inarr.length == 0) || \r\n (Math.abs(timestep - 0.0) < OPS_EPSILON)) {\r\n return -1;\r\n }\r\n //find trend with best fit and remove it. The order is determined from the\r\n // number of coefficients returned.\r\n double[] coefs = findTrendWithBestFit( inarr, timestep);\r\n removePolynomialTrend(inarr, coefs, timestep);\r\n return (coefs.length - 1);\r\n }","private void setDataLineChart() {\n\t\t\n\t\tchartLine.setTitle(\"Evolution du Solde\");\n\t\tchartLine.getData().clear();\n\t\t\n\t\tXYChart.Series series = new XYChart.Series();\n\t\tseries.getData().clear();\n\t\tseries.setName(\"Evolution du solde\");\n\t\t\n\t\tdouble solde = bal.getAmount();\n\t\tint currentYear = Calendar.getInstance().get(Calendar.YEAR);\n\t\tint currentMonth = Calendar.getInstance().get(Calendar.MONTH);\n\t\tint currentDay = Calendar.getInstance().get(Calendar.DAY_OF_MONTH);\n\t\t\n\t\t\n\t\t// Create a calendar object and set year and month\n\t\tCalendar mycal = new GregorianCalendar(currentYear, currentMonth,\n\t\t\t\tcurrentDay);\n\t\t\n\t\t// Get the number of days in that month\n\t\tint daysInMonth = mycal.getActualMaximum(Calendar.DAY_OF_MONTH);\n\t\t\n\t\tif (!bal.getTransactions().isEmpty()) {\n\t\t\tfor (IOTransactionLogic transaction : bal.getTransactions()\n\t\t\t\t\t.get(currentYear)[currentMonth]) {\n\t\t\t\tsolde -= transaction.getAmount();\n\t\t\t}\n\t\t}\n\t\t\n\t\tfor (int i = 0; i < currentDay; ++i) {\n\t\t\tif (!bal.getTransactions().isEmpty()) {\n\t\t\t\tfor (IOTransactionLogic transaction : bal.getTransactions()\n\t\t\t\t\t\t.get(currentYear)[currentMonth]) {\n\t\t\t\t\tjava.sql.Date dat = transaction.getDate();\n\t\t\t\t\tCalendar cal = Calendar.getInstance();\n\t\t\t\t\tcal.setTime(dat);\n\t\t\t\t\tif (cal.get(Calendar.DAY_OF_MONTH) - 1 == i) {\n\t\t\t\t\t\tsolde += transaction.getAmount();\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\tseries.getData()\n\t\t\t\t\t.add(new XYChart.Data(String.valueOf(i + 1), solde));\n\t\t}\n\t\t\n\t\tchartLine.getData().addAll(series);\n\t\tchartLine.setLegendVisible(false);\n\t}","private XYSeries createSeries() {\r\n return createSeries(0);\r\n }","void removeFinancialStatements(int i);","void unsetAppliesPeriod();","static private void removeOldTerms(DataManager manager, List<Term> oldTerms, ArrayList<Term> newTerms) throws Exception\r\n\t{\r\n\t\t// Create a hash of all new terms\r\n\t\tHashMap<Integer,Term> newTermHash = new HashMap<Integer,Term>();\r\n\t\tfor(Term newTerm : newTerms) newTermHash.put(newTerm.getId(), newTerm);\r\n\r\n\t\t// Remove all terms which are no longer used\r\n\t\tfor(Term term : oldTerms)\r\n\t\t\tif(!newTermHash.containsKey(term.getId()))\r\n\t\t\t\tif(!manager.getSchemaElementCache().deleteSchemaElement(term.getId()))\r\n\t\t\t\t\tthrow new Exception(\"Failed to delete thesaurus term\");\r\n\t}","void removeEndingHadithNo(Object oldEndingHadithNo);","public void deleteHistory() {\n weatherRepo.deleteAll();\n }","public LinearNode() {\r\n\t\t\r\n\t\tnext = null;\r\n\t\telement = null;\r\n\t\r\n\t}","public boolean useHistoryAnomaly() {\n return false;\n }","@Override\r\n public Polynomial derivative() {\r\n Polynomial x = this.filter(t -> {\r\n Term term = (Term) t;\r\n return term.getPower() != 0;\r\n }).map(t -> {\r\n Term term = (Term) t;\r\n return new Term(term.getCoefficient() * term.getPower(), term.getPower() - 1);\r\n });\r\n return x;\r\n }","public void remLineNumber(){\n ((MvwDefinitionDMO) core).remLineNumber();\n }","public void discardLastWeight() {\n this.weights.remove(this.weights.size() - 1);\n // meanwhile flip the accepting flag\n acceptWeight = true;\n }","public synchronized void removeProgressListener (ProgressListener lsnr) {\n if (listeners == null) {\n return;\n }\n listeners.removeElement(lsnr);\n }","@Override\n public Polynomial subtract(Polynomial q) {\n if (q == null)\n throw new NullPointerException(\"cannot subtract null polynomials\");\n\n return subSparse(this, toSparsePolynomial(q));\n }","void unsetSearchRecurrenceStart();","public static boolean removePolynomialTrend(double[] array, double[] coefs, \r\n double timestep) {\r\n if ((array == null) || (array.length == 0) || (coefs == null) ||\r\n (coefs.length == 0) || (Math.abs(timestep - 0.0) < OPS_EPSILON)) {\r\n return false;\r\n }\r\n int len = array.length;\r\n double[] time = makeTimeArray( timestep, len);\r\n PolynomialFunction poly = new PolynomialFunction( coefs );\r\n for (int i = 0; i < len; i++) {\r\n array[i] = array[i] - poly.value(time[i]);\r\n }\r\n return true;\r\n }","public Builder clearMonthlySalary() {\n \n monthlySalary_ = 0F;\n onChanged();\n return this;\n }","public void removeListener(final IHistoryStringBuilderListener listener) {\n m_listeners.removeListener(listener);\n }","public void removeChangeListener(ChangeListener l) {\n\t\t//do nothing\n\t}","private static List<Point> createLinearDataset() {\r\n List<Point> data = new ArrayList<Point>();\r\n add(data, 1, 100);\r\n add(data, 5, 200);\r\n add(data, 10, 300);\r\n add(data, 15, 400);\r\n return data;\r\n }","public synchronized void resetSales() {\n sales = null;\n }","public void subtract(MyDouble val) {\n this.setValue(this.getValue() - val.getValue());\n }","JFreeChart generateHist();","public void removeByTodoDouble(double todoDouble);","public void keep(Lineage lin, String name)\n\t\t{\n\t\tTuple<Lineage,String> key=Tuple.make(lin, name);\n\t\tif(!oldnuc.containsKey(key))\n\t\t\t{\n\t\t\tLineage.Particle n=lin.particle.get(name);\n\t\t\tif(n!=null)\n\t\t\t\toldnuc.put(key, n.clone());\n\t\t\telse\n\t\t\t\toldnuc.put(key, null);\n\t\t\t}\n\t\tif(oldob.containsKey(lin))\n\t\t\toldob.put(lin, new ModObj(lin.coreMetadataModified, lin.dateLastModify));\n\t\t}","public Spell removeAt(int pos) {\n\t\tif (pos < 0)\n\t\t\tthrow new IndexOutOfBoundsException();\n\n\t\tif (pos == 0)\n\t\t\treturn spell;\n\t\telse if (spell instanceof SpellDecorator) {\n\t\t\tspell = ((SpellDecorator) spell).removeAt(pos - 1);\n\t\t\treturn this;\n\t\t} else {\n\t\t\tthrow new IndexOutOfBoundsException();\n\t\t}\n\t}","public Builder clearTraceTag() {\n bitField0_ = (bitField0_ & ~0x00004000);\n traceTag_ = 0L;\n onChanged();\n return this;\n }","@Override\r\n public void resetAccount() {\r\n super.resetAccount();\r\n this.getNewSourceLine().setAmount(null);\r\n this.getNewSourceLine().setAccountLinePercent(new BigDecimal(0));\r\n }","void removeStartingHadithNo(Object oldStartingHadithNo);","public <V extends Number> FluentExp<V> minus (SQLExpression<V> expr)\n {\n return new Sub<V>(this, expr);\n }","private void removeState(int position, int stateIndex) {\n\t\t\n\t\tif(position == -1) {\n\t\t\tthis.logPriors.remove(stateIndex);\n\t\t} else {\n\t\t\t// address transitions *to* the removed state\n\t\t\tConcurrentHashMap<Integer, Double> toStates;\n\t\t\tthis.inSupport.get(position).remove(stateIndex);\n\t\t\t\n\t\t\tfinal ConcurrentHashMap<Integer, ConcurrentHashMap<Integer, Double>> map = this.logTransitions.get(position);\n\t\t\tDouble remove;\n\t\t\tfor (Integer fromState : map.keySet()) {\n\t\t\t\ttoStates = map.get(fromState);\n\t\t\t\tremove = toStates.remove(stateIndex); // state is gone: can't transition to it\n\t\t\t\t\t\n\t\t\t\tif (remove != null && toStates.isEmpty()) {\n\t\t\t\t\tfinal Set<Integer> set = posStateToRemove.get(position-1);\n\t\t\t\t\tsynchronized (set) {\n\t\t\t\t\t\tset.add(fromState);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// address transitions *from* the removed state\n\t\tthis.logTransitions.get(position+1).remove(stateIndex);\n\t}","public Polynomial minus(Polynomial poly) {\n\t\tPolynomial a = this;\n\t\tPolynomial b = poly;\n\n\t\tPolynomial c = new Polynomial(0, Math.max(\n\t\t\t\ta.degree, b.degree), this.field);\n\t\tif (a.field == b.field) {\n\n\t\t\tfor (int i = 0; i <= a.degree; i++) {\n\t\t\t\tc.coefficients[i] += a.coefficients[i];\n\t\t\t}\n\n\t\t\tfor (int i = 0; i <= b.degree; i++) {\n\t\t\t\tc.coefficients[i] -= b.coefficients[i];\n\t\t\t}\n\n\t\t\tc = this.modField(c);\n\n\t\t} else {\n\t\t\t// TODO: throw exception or some such.\n\t\t}\n\n\t\treturn c;\n\t}","public void remove(C0259ML ml) {\n this.f1003d.remove(ml);\n notifyDataSetChanged();\n }","public DoubleColumn linear() {\n DoubleColumn result = col.asDoubleColumn();\n int last = -1;\n for (int i = 0; i < col.size(); i++) {\n if (!col.isMissing(i)) {\n if (last >= 0 && last != i - 1) {\n for (int j = last + 1; j < i; j++) {\n result.set(\n j,\n col.getDouble(last)\n + (col.getDouble(i) - col.getDouble(last)) * (j - last) / (i - last));\n }\n }\n last = i;\n }\n }\n return result;\n }","public void removeJfiPayLog(final Long logId);","public double[][] deconstructTimeSeries( double[] series, \n int numberOfVariables, \n int lag )\n {\n int N = series.length - numberOfVariables * lag;\n while( N < 0 )\n {\n numberOfVariables--;\n N = series.length - (numberOfVariables) * lag;\n }\n double[][] variables = new double[ numberOfVariables ][ N ];\n\n for( int i=0; i<numberOfVariables; i++ )\n {\n for( int j=0; j<N; j++ )\n {\n variables[ i ][ j ] = series[ i * lag + j ];\n }\n }\n\n return variables;\n }","public static final double calculateIntercept(final double min, final double slope, final double validMin) {\r\n return (min - (slope * validMin));\r\n }","public void removeScript() {\n scriptHistory = null;\n }","public AcademicHistory() {\n listOfTerms = new ArrayList<Term>();\n }","@Override\n\tpublic Retorno eliminarTramo(Double coordXi, Double coordYi, Double coordXf, Double coordYf) {\n\t\treturn new Retorno();\n\t}"],"string":"[\n \"public static boolean removeLinearTrend( double[] array, double timestep ) {\\r\\n if ((array == null) || (array.length == 0) ||\\r\\n (Math.abs(timestep - 0.0) < OPS_EPSILON)) {\\r\\n return false;\\r\\n }\\r\\n int len = array.length;\\r\\n double[] time = makeTimeArray( timestep, len);\\r\\n SimpleRegression regression = new SimpleRegression();\\r\\n for(int i = 0; i < len; i++) {\\r\\n regression.addData(time[i], array[i]);\\r\\n }\\r\\n //Remove the trend from the array\\r\\n for (int i = 0; i < len; i++) {\\r\\n array [i] = array[i] - regression.predict(time[i]);\\r\\n }\\r\\n return true;\\r\\n }\",\n \"public Series removeDelayedTrend(int depth)\\n {\\n if(depth<1 || depth>=size)\\n throw new IndexOutOfBoundsException();\\n Series oscillator = new Series();\\n oscillator.x = new double[oscillator.size = size - depth];\\n if(oscillator.size>1)\\n oscillator.r = new double[oscillator.size - 1];\\n for(int t = 0; t<oscillator.size; t++)\\n {\\n oscillator.x[t] = x[t + depth] - movingAverage(depth, t + depth);\\n if(t>0)\\n oscillator.r[t - 1] = Math.log(oscillator.x[t]/oscillator.x[t - 1]);\\n }\\n return oscillator;\\n }\",\n \"public Series logarithmic()\\n {\\n Series logarithmic = new Series();\\n logarithmic.x = new double[logarithmic.size = size];\\n logarithmic.r = r;\\n for(int t = 0; t<size; t++)\\n logarithmic.x[t] = Math.log(x[t]);\\n return logarithmic;\\n }\",\n \"public static boolean removeLinearTrendFromSubArray( double[] array, \\r\\n double[] subarray, double timestep ) {\\r\\n if ((array == null) || (array.length == 0) || (subarray == null) ||\\r\\n (subarray.length == 0) ||(Math.abs(timestep - 0.0) < OPS_EPSILON)) {\\r\\n return false;\\r\\n }\\r\\n int lenfull = array.length;\\r\\n int lensub = subarray.length;\\r\\n double[] time = makeTimeArray( timestep, lensub);\\r\\n SimpleRegression regression = new SimpleRegression();\\r\\n for(int i = 0; i < lensub; i++) {\\r\\n regression.addData(time[i], subarray[i]);\\r\\n }\\r\\n //Remove the trend from the first array\\r\\n double[] fulltime = makeTimeArray( timestep, lenfull);\\r\\n for (int i = 0; i < lenfull; i++) {\\r\\n array [i] = array[i] - regression.predict(fulltime[i]);\\r\\n }\\r\\n return true;\\r\\n }\",\n \"@Override\\n\\t\\tpublic void update(Observable o, Object arg) {\\n\\t\\t\\tif (series.size() > HISTORY_SIZE) {\\n\\t\\t\\t\\tseries.removeFirst();\\n\\t\\t\\t}\\n\\t\\t\\t// Get the signal strength as Asu level\\n\\t\\t\\tint ssAsu = ssSampler.getSignalStrength()\\n\\t\\t\\t\\t\\t.getGsmSignalStrength();\\n\\t\\t\\t// add the latest history sample:\\n\\t\\t\\tseries.addLast(null, ssAsu);\\n\\t\\t\\tplot.redraw();\\n\\t\\t}\",\n \"public void removeHistory(long _rowIndex) {\\n\\t// Delete the row.\\n\\t SQLiteDatabase db = SQLiteDatabase.openDatabase(context.getDatabasePath(DATABASE_NAME).getAbsolutePath(), null, SQLiteDatabase.CREATE_IF_NECESSARY);\\n \\n String sql = \\\"Delete from airtime_history where _id = \\\" + _rowIndex; \\n db.execSQL(sql);\\n db.close();\\n }\",\n \"public void updateLineChart()\\r\\n {\\r\\n hoursLoggedSeries = new XYChart.Series<>();\\r\\n hoursLoggedSeries.setName(Integer.toString(LocalDate.now().getYear()));\\r\\n lineChart.getData().clear();\\r\\n \\r\\n try{\\r\\n populateSeriesFromDB();\\r\\n }\\r\\n catch(SQLException e)\\r\\n {\\r\\n System.err.println(e.getMessage());\\r\\n }\\r\\n lineChart.getData().addAll(hoursLoggedSeries);\\r\\n }\",\n \"private Line linearRegression(ArrayList<Point> points) {\\n double sumx = 0.0, sumz = 0.0, sumx2 = 0.0;\\n\\n for (int i = 0; i < points.size(); i++) {\\n Point curPoint = points.get(i);\\n sumx += curPoint.x;\\n sumz += curPoint.z;\\n sumx2 += curPoint.x*curPoint.x;\\n }\\n\\n double xbar = sumx/((double) points.size());\\n double zbar = sumz/((double) points.size());\\n\\n double xxbar = 0.0, xzbar = 0.0;\\n\\n for (int i = 0; i < points.size(); i++) {\\n Point curPoint = points.get(i);\\n xxbar += (curPoint.x - xbar) * (curPoint.x - xbar);\\n xzbar += (curPoint.x - xbar) * (curPoint.z - zbar);\\n }\\n\\n double slope = xzbar / xxbar;\\n double intercept = zbar - slope * xbar;\\n\\n return new Line(slope, intercept);\\n }\",\n \"public void removePlotData() {\\n\\t\\tif (xySeries != null) {\\n\\t\\t\\tfor (int i = 0; i < xySeries.length; i++) {\\n\\t\\t\\t\\tif (xySeries[i] != null) {\\n\\t\\t\\t\\t\\txySeries[i].clear();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tseriesCount = 0;\\n\\t\\txySeries = new XYSeries[seriesCount + 1];\\n\\t}\",\n \"public void excluirUltimaLinha() {\\n valor = venda.BuscaultValor(ultimacod) - ultimoValor;\\n int tempqte = venda.BuscaQte(ultimacod) + ultimaQte;\\n SubMatRemove(ultimoValor, Double.parseDouble(jTxtSubTotal.getText()));\\n AtulizaBanco(ultimacod, fun.getMatricula(), valor, tempqte);\\n ((DefaultTableModel) jTable1.getModel()).removeRow(jTable1.getRowCount() - 1);\\n }\",\n \"@Override\\n\\tpublic OnlineRegression copyNew() {\\n\\t\\tBayesianLinearRegression copy = new BayesianLinearRegression(dimension, this.prioriMeans, prioriPrecision);\\n\\t\\tcopy.weights = this.weights.copyNew();\\n\\t\\tcopy.covariance = this.covariance.copyNew();\\n\\t\\tcopy.b = this.b.copyNew();\\n\\t\\tcopy.numTrainedInstances = this.numTrainedInstances;\\n\\t\\treturn copy;\\n\\t}\",\n \"@VTID(10)\\n @UseDefaultValues(paramIndexMapping = {9}, optParamIndex = {0, 1, 2, 3, 4, 5, 6, 7, 8}, javaType = {com.exceljava.com4j.excel.XlTrendlineType.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.Int32, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_I4, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\\\"-4132\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\"})\\n @ReturnValue(index=9)\\n com.exceljava.com4j.excel.Trendline add();\",\n \"void removeCalcValueListener(CalcValueListener l);\",\n \"public void removeCallLog(CallLog callLog);\",\n \"public NonLinear(double[] x, double[] y, RealValuedFunctionVA rf,\\n\\t\\t\\t Config config)\\n\\t{\\n\\t this(x, y, rf, config, null);\\n\\t}\",\n \"@VTID(10)\\n @UseDefaultValues(paramIndexMapping = {0, 1, 2, 3, 4, 5, 6, 7, 9}, optParamIndex = {8}, javaType = {java.lang.Object.class}, nativeType = {NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR}, literal = {\\\"80020004\\\"})\\n @ReturnValue(index=9)\\n com.exceljava.com4j.excel.Trendline add(\\n @Optional @DefaultValue(\\\"-4132\\\") com.exceljava.com4j.excel.XlTrendlineType type,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object order,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object period,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object forward,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object backward,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object intercept,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object displayEquation,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object displayRSquared);\",\n \"@VTID(10)\\n @UseDefaultValues(paramIndexMapping = {0, 1, 2, 9}, optParamIndex = {3, 4, 5, 6, 7, 8}, javaType = {java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\"})\\n @ReturnValue(index=9)\\n com.exceljava.com4j.excel.Trendline add(\\n @Optional @DefaultValue(\\\"-4132\\\") com.exceljava.com4j.excel.XlTrendlineType type,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object order,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object period);\",\n \"public int removeHistory(String type, Date startDate, Date endDate);\",\n \"@VTID(10)\\n @UseDefaultValues(paramIndexMapping = {0, 1, 2, 3, 9}, optParamIndex = {4, 5, 6, 7, 8}, javaType = {java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\"})\\n @ReturnValue(index=9)\\n com.exceljava.com4j.excel.Trendline add(\\n @Optional @DefaultValue(\\\"-4132\\\") com.exceljava.com4j.excel.XlTrendlineType type,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object order,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object period,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object forward);\",\n \"@VTID(10)\\n @UseDefaultValues(paramIndexMapping = {0, 1, 2, 3, 4, 5, 6, 9}, optParamIndex = {7, 8}, javaType = {java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\\\"80020004\\\", \\\"80020004\\\"})\\n @ReturnValue(index=9)\\n com.exceljava.com4j.excel.Trendline add(\\n @Optional @DefaultValue(\\\"-4132\\\") com.exceljava.com4j.excel.XlTrendlineType type,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object order,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object period,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object forward,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object backward,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object intercept,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object displayEquation);\",\n \"private NonLinear(NonLinear existing) {\\n\\t this.rf = existing.rf;\\n\\t int n = existing.getNumberOfParameters();\\n\\t extendedParameters = new double[n+1];\\n\\t setParameters(new double[n]);\\n\\t}\",\n \"@VTID(10)\\n @UseDefaultValues(paramIndexMapping = {0, 1, 2, 3, 4, 5, 9}, optParamIndex = {6, 7, 8}, javaType = {java.lang.Object.class, java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\"})\\n @ReturnValue(index=9)\\n com.exceljava.com4j.excel.Trendline add(\\n @Optional @DefaultValue(\\\"-4132\\\") com.exceljava.com4j.excel.XlTrendlineType type,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object order,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object period,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object forward,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object backward,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object intercept);\",\n \"@VTID(10)\\n @UseDefaultValues(paramIndexMapping = {0, 9}, optParamIndex = {1, 2, 3, 4, 5, 6, 7, 8}, javaType = {java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\"})\\n @ReturnValue(index=9)\\n com.exceljava.com4j.excel.Trendline add(\\n @Optional @DefaultValue(\\\"-4132\\\") com.exceljava.com4j.excel.XlTrendlineType type);\",\n \"public static double[] findLinearTrend( double[] array, double timestep ) {\\r\\n if ((array == null) || (array.length == 0) ||\\r\\n (Math.abs(timestep - 0.0) < OPS_EPSILON)) {\\r\\n return new double[0];\\r\\n }\\r\\n int len = array.length;\\r\\n double[] time = makeTimeArray( timestep, len);\\r\\n SimpleRegression regression = new SimpleRegression();\\r\\n for(int i = 0; i < len; i++) {\\r\\n regression.addData(time[i], array[i]);\\r\\n }\\r\\n //Get the baseline function\\r\\n double[] baseline = new double[len];\\r\\n for (int i = 0; i < len; i++) {\\r\\n baseline[i] = regression.predict(time[i]);\\r\\n }\\r\\n return baseline;\\r\\n }\",\n \"@VTID(10)\\n @UseDefaultValues(paramIndexMapping = {0, 1, 2, 3, 4, 9}, optParamIndex = {5, 6, 7, 8}, javaType = {java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\"})\\n @ReturnValue(index=9)\\n com.exceljava.com4j.excel.Trendline add(\\n @Optional @DefaultValue(\\\"-4132\\\") com.exceljava.com4j.excel.XlTrendlineType type,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object order,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object period,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object forward,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object backward);\",\n \"public void clearHistory() {\\n while (eqn != null) {\\n eqn = eqn.next;\\n }\\n EquationList eqn = null;\\n }\",\n \"public void removeTerm(Term oldTerm)\\r\\n\\t{\\r\\n\\t\\tArrayList<Term> terms = new ArrayList<Term>(Arrays.asList(this.terms));\\r\\n\\t\\tterms.remove(oldTerm);\\r\\n\\t\\tthis.terms = terms.toArray(new Term[0]);\\t\\t\\r\\n\\t}\",\n \"void clearHistoryData();\",\n \"@VTID(10)\\n @UseDefaultValues(paramIndexMapping = {0, 1, 9}, optParamIndex = {2, 3, 4, 5, 6, 7, 8}, javaType = {java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class, java.lang.Object.class}, nativeType = {NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT, NativeType.VARIANT}, variantType = {Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR, Variant.Type.VT_ERROR}, literal = {\\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\", \\\"80020004\\\"})\\n @ReturnValue(index=9)\\n com.exceljava.com4j.excel.Trendline add(\\n @Optional @DefaultValue(\\\"-4132\\\") com.exceljava.com4j.excel.XlTrendlineType type,\\n @Optional @MarshalAs(NativeType.VARIANT) java.lang.Object order);\",\n \"public void removeOldRecords();\",\n \"void unsetValuePeriod();\",\n \"public void removeJbdTravelPointLog2013(final String logId);\",\n \"public RenkoIndicator(TimeSeries series) {\\r\\n\\t\\tsuper(series);\\r\\n\\t\\tthis.series = series;\\r\\n\\t}\",\n \"public void clearDateALR() {\\r\\n\\t\\t//System.out.println(\\\"Clear= \\\" + counter);\\r\\n\\t\\twhile (historyDate.size() != counter) {\\r\\n\\t\\t\\thistoryDate.removeLast();\\r\\n\\t\\t\\thistoryAL.removeLast();\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public void removeFinArFundsInActionAppliedHistory(FinArFundsInActionAppliedHistory finArFundsInActionAppliedHistory);\",\n \"public void removeReadingPointListener(ReadingPointListener l) {\\n\\t\\tlisteners.remove(l);\\n\\t}\",\n \"public NonLinear(double[] x, double[] y, double sigma,\\n\\t\\t\\t RealValuedFunctionVA rf,\\n\\t\\t\\t Config config)\\n\\t{\\n\\t this(x, y, sigma, rf, config, null);\\n\\t}\",\n \"public NonLinear(double[] x, double[] y, double[] sigma,\\n\\t\\t\\t RealValuedFunctionVA rf,\\n\\t\\t\\t Config config)\\n\\t{\\n\\t this(x, y, sigma, rf, config, null);\\n\\t}\",\n \"public Builder clearLineage() {\\n if (lineageBuilder_ == null) {\\n lineage_ = alluxio.proto.journal.Lineage.LineageEntry.getDefaultInstance();\\n onChanged();\\n } else {\\n lineageBuilder_.clear();\\n }\\n bitField0_ = (bitField0_ & ~0x00040000);\\n return this;\\n }\",\n \"public void removeJpmProductSaleNew(final Long uniNo);\",\n \"@Override\\n @SuppressWarnings(\\\"fallthrough\\\")\\n public Date remove(final int index) {\\n final Date previous = get(index);\\n switch (index) {\\n case 0: date1 = date2; // Fallthrough\\n case 1: date2 = Long.MIN_VALUE; break;\\n }\\n modCount++;\\n return previous;\\n }\",\n \"@Override\\n protected void seriesRemoved(Series<X,Y> series) {\\n for(XYChart.Data<X,Y> xydata : series.getData() ){\\n Node holder = xydata.getNode();\\n getPlotChildren().remove(holder);\\n }\\n removeSeriesFromDisplay(series);\\n }\",\n \"public void removeLayer(int index){\\n history.removeIndex(index);\\n historyValues.removeIndex(index);\\n }\",\n \"public void removeData(double x, double y) {\\n if (n > 0) {\\n double dx = x - xbar;\\n double dy = y - ybar;\\n sumXX -= dx * dx * (double) n / (n - 1d);\\n sumYY -= dy * dy * (double) n / (n - 1d);\\n sumXY -= dx * dy * (double) n / (n - 1d);\\n xbar -= dx / (n - 1.0);\\n ybar -= dy / (n - 1.0);\\n sumX -= x;\\n sumY -= y;\\n n--;\\n\\n if (n > 2) {\\n distribution.setDegreesOfFreedom(n - 2);\\n }\\n }\\n }\",\n \"public final void undo() {\\n\\t\\tthis.historyManager.undo();\\n\\t}\",\n \"private LinearAVF cloneLinearAVF() {\\n LinearAVF avf = new LinearAVF();\\n // value function\\n Arrays.stream(Criterion.values())\\n .forEach(\\n c -> {\\n if (c.hasBooleanDomain()) {\\n avf.setInternalValueFunction(c, this.getInternalBooleanValueFunction(c));\\n } else if (c.isDoubleCrescent()) {\\n avf.setInternalValueFunction(c, this.getInternalLinearValueFunction(c));\\n } else if (c.isDoubleDecrease()) {\\n avf.setInternalValueFunction(c, this.getInternalReversedLinearValueFunction(c));\\n }\\n });\\n // weights\\n Arrays.stream(Criterion.values())\\n .forEach(criterion -> avf.weight.put(criterion, this.weight.get(criterion)));\\n return avf;\\n }\",\n \"public void removeProgressListener() {\\n this.listener = new SilentProgressListener();\\n }\",\n \"public void unsetObservedLobeAnalysis() {\\n this.observedLobeAnalysis = null;\\n }\",\n \"public void removeJbdSendRecordHist(final String id);\",\n \"static Line pointSlopeToLine(PointDouble p, double slope) {\\n Line line = new Line();\\n line.a = -slope; // always -slope TODO: solve case slope=INFINITY\\n line.b = 1; // always 1\\n line.c = -((line.a * p.x) + (line.b * p.y));\\n return line;\\n }\",\n \"public void removeLines(ArrayList<Line> currentLines) {\\n if (currentLines != null) {\\n for (int i = 0; i < currentLines.size(); i++) {\\n lines.remove(currentLines.get(i));\\n }\\n }\\n }\",\n \"public void removeTrail(Trail removedTrail) {\\n for(int i = 0; i < trails.size(); i++) {\\n if(trails.get(i).getTrailCode() == removedTrail.getTrailCode()) {\\n trails.remove(i);\\n break;\\n }\\n }\\n }\",\n \"public void stopChronometer(View view) throws IOException {\\n timer.stop();\\n timer_running = false;\\n saveData();\\n\\t\\tIntent intent = new Intent(this, MainActivity.class);\\n\\t\\tstartActivity(intent);\\n \\n }\",\n \"public SfJdDocAudit unAuditFN(SfJdDocAudit qx, RequestMeta requestMeta) {\\n wfEngineAdapter.rework(qx.getComment(), qx, requestMeta);\\r\\n return qx;\\r\\n }\",\n \"public abstract EventSeries removeEventSeries(User user, String id);\",\n \"public abstract void detatchHistoricalWrapper();\",\n \"public void setLinearOffset(Vector2 linearOffset) {\\n jniSetLinearOffset(addr, linearOffset.x, linearOffset.y);\\n }\",\n \"public Delta removeStat(String stat) {\\n Map<String, Map<String, String>> parsedStat = StatsHolder.parseStat(stat);\\n Map<String, Map<String, String>> currentStats = _removedStats.getMapFields();\\n for (String statName : parsedStat.keySet()) {\\n currentStats.put(statName, parsedStat.get(statName));\\n }\\n return this;\\n }\",\n \"public ILoString removeFirst(int n) {\\n if (n > 0) {\\n return this.rest.removeFirst(n - 1);\\n }\\n\\n else {\\n return this;\\n }\\n }\",\n \"public static int removeTrendWithBestFit( double[] inarr, double timestep) {\\r\\n if ((inarr == null) || (inarr.length == 0) || \\r\\n (Math.abs(timestep - 0.0) < OPS_EPSILON)) {\\r\\n return -1;\\r\\n }\\r\\n //find trend with best fit and remove it. The order is determined from the\\r\\n // number of coefficients returned.\\r\\n double[] coefs = findTrendWithBestFit( inarr, timestep);\\r\\n removePolynomialTrend(inarr, coefs, timestep);\\r\\n return (coefs.length - 1);\\r\\n }\",\n \"private void setDataLineChart() {\\n\\t\\t\\n\\t\\tchartLine.setTitle(\\\"Evolution du Solde\\\");\\n\\t\\tchartLine.getData().clear();\\n\\t\\t\\n\\t\\tXYChart.Series series = new XYChart.Series();\\n\\t\\tseries.getData().clear();\\n\\t\\tseries.setName(\\\"Evolution du solde\\\");\\n\\t\\t\\n\\t\\tdouble solde = bal.getAmount();\\n\\t\\tint currentYear = Calendar.getInstance().get(Calendar.YEAR);\\n\\t\\tint currentMonth = Calendar.getInstance().get(Calendar.MONTH);\\n\\t\\tint currentDay = Calendar.getInstance().get(Calendar.DAY_OF_MONTH);\\n\\t\\t\\n\\t\\t\\n\\t\\t// Create a calendar object and set year and month\\n\\t\\tCalendar mycal = new GregorianCalendar(currentYear, currentMonth,\\n\\t\\t\\t\\tcurrentDay);\\n\\t\\t\\n\\t\\t// Get the number of days in that month\\n\\t\\tint daysInMonth = mycal.getActualMaximum(Calendar.DAY_OF_MONTH);\\n\\t\\t\\n\\t\\tif (!bal.getTransactions().isEmpty()) {\\n\\t\\t\\tfor (IOTransactionLogic transaction : bal.getTransactions()\\n\\t\\t\\t\\t\\t.get(currentYear)[currentMonth]) {\\n\\t\\t\\t\\tsolde -= transaction.getAmount();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\tfor (int i = 0; i < currentDay; ++i) {\\n\\t\\t\\tif (!bal.getTransactions().isEmpty()) {\\n\\t\\t\\t\\tfor (IOTransactionLogic transaction : bal.getTransactions()\\n\\t\\t\\t\\t\\t\\t.get(currentYear)[currentMonth]) {\\n\\t\\t\\t\\t\\tjava.sql.Date dat = transaction.getDate();\\n\\t\\t\\t\\t\\tCalendar cal = Calendar.getInstance();\\n\\t\\t\\t\\t\\tcal.setTime(dat);\\n\\t\\t\\t\\t\\tif (cal.get(Calendar.DAY_OF_MONTH) - 1 == i) {\\n\\t\\t\\t\\t\\t\\tsolde += transaction.getAmount();\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tseries.getData()\\n\\t\\t\\t\\t\\t.add(new XYChart.Data(String.valueOf(i + 1), solde));\\n\\t\\t}\\n\\t\\t\\n\\t\\tchartLine.getData().addAll(series);\\n\\t\\tchartLine.setLegendVisible(false);\\n\\t}\",\n \"private XYSeries createSeries() {\\r\\n return createSeries(0);\\r\\n }\",\n \"void removeFinancialStatements(int i);\",\n \"void unsetAppliesPeriod();\",\n \"static private void removeOldTerms(DataManager manager, List<Term> oldTerms, ArrayList<Term> newTerms) throws Exception\\r\\n\\t{\\r\\n\\t\\t// Create a hash of all new terms\\r\\n\\t\\tHashMap<Integer,Term> newTermHash = new HashMap<Integer,Term>();\\r\\n\\t\\tfor(Term newTerm : newTerms) newTermHash.put(newTerm.getId(), newTerm);\\r\\n\\r\\n\\t\\t// Remove all terms which are no longer used\\r\\n\\t\\tfor(Term term : oldTerms)\\r\\n\\t\\t\\tif(!newTermHash.containsKey(term.getId()))\\r\\n\\t\\t\\t\\tif(!manager.getSchemaElementCache().deleteSchemaElement(term.getId()))\\r\\n\\t\\t\\t\\t\\tthrow new Exception(\\\"Failed to delete thesaurus term\\\");\\r\\n\\t}\",\n \"void removeEndingHadithNo(Object oldEndingHadithNo);\",\n \"public void deleteHistory() {\\n weatherRepo.deleteAll();\\n }\",\n \"public LinearNode() {\\r\\n\\t\\t\\r\\n\\t\\tnext = null;\\r\\n\\t\\telement = null;\\r\\n\\t\\r\\n\\t}\",\n \"public boolean useHistoryAnomaly() {\\n return false;\\n }\",\n \"@Override\\r\\n public Polynomial derivative() {\\r\\n Polynomial x = this.filter(t -> {\\r\\n Term term = (Term) t;\\r\\n return term.getPower() != 0;\\r\\n }).map(t -> {\\r\\n Term term = (Term) t;\\r\\n return new Term(term.getCoefficient() * term.getPower(), term.getPower() - 1);\\r\\n });\\r\\n return x;\\r\\n }\",\n \"public void remLineNumber(){\\n ((MvwDefinitionDMO) core).remLineNumber();\\n }\",\n \"public void discardLastWeight() {\\n this.weights.remove(this.weights.size() - 1);\\n // meanwhile flip the accepting flag\\n acceptWeight = true;\\n }\",\n \"public synchronized void removeProgressListener (ProgressListener lsnr) {\\n if (listeners == null) {\\n return;\\n }\\n listeners.removeElement(lsnr);\\n }\",\n \"@Override\\n public Polynomial subtract(Polynomial q) {\\n if (q == null)\\n throw new NullPointerException(\\\"cannot subtract null polynomials\\\");\\n\\n return subSparse(this, toSparsePolynomial(q));\\n }\",\n \"void unsetSearchRecurrenceStart();\",\n \"public static boolean removePolynomialTrend(double[] array, double[] coefs, \\r\\n double timestep) {\\r\\n if ((array == null) || (array.length == 0) || (coefs == null) ||\\r\\n (coefs.length == 0) || (Math.abs(timestep - 0.0) < OPS_EPSILON)) {\\r\\n return false;\\r\\n }\\r\\n int len = array.length;\\r\\n double[] time = makeTimeArray( timestep, len);\\r\\n PolynomialFunction poly = new PolynomialFunction( coefs );\\r\\n for (int i = 0; i < len; i++) {\\r\\n array[i] = array[i] - poly.value(time[i]);\\r\\n }\\r\\n return true;\\r\\n }\",\n \"public Builder clearMonthlySalary() {\\n \\n monthlySalary_ = 0F;\\n onChanged();\\n return this;\\n }\",\n \"public void removeListener(final IHistoryStringBuilderListener listener) {\\n m_listeners.removeListener(listener);\\n }\",\n \"public void removeChangeListener(ChangeListener l) {\\n\\t\\t//do nothing\\n\\t}\",\n \"private static List<Point> createLinearDataset() {\\r\\n List<Point> data = new ArrayList<Point>();\\r\\n add(data, 1, 100);\\r\\n add(data, 5, 200);\\r\\n add(data, 10, 300);\\r\\n add(data, 15, 400);\\r\\n return data;\\r\\n }\",\n \"public synchronized void resetSales() {\\n sales = null;\\n }\",\n \"public void subtract(MyDouble val) {\\n this.setValue(this.getValue() - val.getValue());\\n }\",\n \"JFreeChart generateHist();\",\n \"public void removeByTodoDouble(double todoDouble);\",\n \"public void keep(Lineage lin, String name)\\n\\t\\t{\\n\\t\\tTuple<Lineage,String> key=Tuple.make(lin, name);\\n\\t\\tif(!oldnuc.containsKey(key))\\n\\t\\t\\t{\\n\\t\\t\\tLineage.Particle n=lin.particle.get(name);\\n\\t\\t\\tif(n!=null)\\n\\t\\t\\t\\toldnuc.put(key, n.clone());\\n\\t\\t\\telse\\n\\t\\t\\t\\toldnuc.put(key, null);\\n\\t\\t\\t}\\n\\t\\tif(oldob.containsKey(lin))\\n\\t\\t\\toldob.put(lin, new ModObj(lin.coreMetadataModified, lin.dateLastModify));\\n\\t\\t}\",\n \"public Spell removeAt(int pos) {\\n\\t\\tif (pos < 0)\\n\\t\\t\\tthrow new IndexOutOfBoundsException();\\n\\n\\t\\tif (pos == 0)\\n\\t\\t\\treturn spell;\\n\\t\\telse if (spell instanceof SpellDecorator) {\\n\\t\\t\\tspell = ((SpellDecorator) spell).removeAt(pos - 1);\\n\\t\\t\\treturn this;\\n\\t\\t} else {\\n\\t\\t\\tthrow new IndexOutOfBoundsException();\\n\\t\\t}\\n\\t}\",\n \"public Builder clearTraceTag() {\\n bitField0_ = (bitField0_ & ~0x00004000);\\n traceTag_ = 0L;\\n onChanged();\\n return this;\\n }\",\n \"@Override\\r\\n public void resetAccount() {\\r\\n super.resetAccount();\\r\\n this.getNewSourceLine().setAmount(null);\\r\\n this.getNewSourceLine().setAccountLinePercent(new BigDecimal(0));\\r\\n }\",\n \"void removeStartingHadithNo(Object oldStartingHadithNo);\",\n \"public <V extends Number> FluentExp<V> minus (SQLExpression<V> expr)\\n {\\n return new Sub<V>(this, expr);\\n }\",\n \"private void removeState(int position, int stateIndex) {\\n\\t\\t\\n\\t\\tif(position == -1) {\\n\\t\\t\\tthis.logPriors.remove(stateIndex);\\n\\t\\t} else {\\n\\t\\t\\t// address transitions *to* the removed state\\n\\t\\t\\tConcurrentHashMap<Integer, Double> toStates;\\n\\t\\t\\tthis.inSupport.get(position).remove(stateIndex);\\n\\t\\t\\t\\n\\t\\t\\tfinal ConcurrentHashMap<Integer, ConcurrentHashMap<Integer, Double>> map = this.logTransitions.get(position);\\n\\t\\t\\tDouble remove;\\n\\t\\t\\tfor (Integer fromState : map.keySet()) {\\n\\t\\t\\t\\ttoStates = map.get(fromState);\\n\\t\\t\\t\\tremove = toStates.remove(stateIndex); // state is gone: can't transition to it\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\tif (remove != null && toStates.isEmpty()) {\\n\\t\\t\\t\\t\\tfinal Set<Integer> set = posStateToRemove.get(position-1);\\n\\t\\t\\t\\t\\tsynchronized (set) {\\n\\t\\t\\t\\t\\t\\tset.add(fromState);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// address transitions *from* the removed state\\n\\t\\tthis.logTransitions.get(position+1).remove(stateIndex);\\n\\t}\",\n \"public Polynomial minus(Polynomial poly) {\\n\\t\\tPolynomial a = this;\\n\\t\\tPolynomial b = poly;\\n\\n\\t\\tPolynomial c = new Polynomial(0, Math.max(\\n\\t\\t\\t\\ta.degree, b.degree), this.field);\\n\\t\\tif (a.field == b.field) {\\n\\n\\t\\t\\tfor (int i = 0; i <= a.degree; i++) {\\n\\t\\t\\t\\tc.coefficients[i] += a.coefficients[i];\\n\\t\\t\\t}\\n\\n\\t\\t\\tfor (int i = 0; i <= b.degree; i++) {\\n\\t\\t\\t\\tc.coefficients[i] -= b.coefficients[i];\\n\\t\\t\\t}\\n\\n\\t\\t\\tc = this.modField(c);\\n\\n\\t\\t} else {\\n\\t\\t\\t// TODO: throw exception or some such.\\n\\t\\t}\\n\\n\\t\\treturn c;\\n\\t}\",\n \"public void remove(C0259ML ml) {\\n this.f1003d.remove(ml);\\n notifyDataSetChanged();\\n }\",\n \"public DoubleColumn linear() {\\n DoubleColumn result = col.asDoubleColumn();\\n int last = -1;\\n for (int i = 0; i < col.size(); i++) {\\n if (!col.isMissing(i)) {\\n if (last >= 0 && last != i - 1) {\\n for (int j = last + 1; j < i; j++) {\\n result.set(\\n j,\\n col.getDouble(last)\\n + (col.getDouble(i) - col.getDouble(last)) * (j - last) / (i - last));\\n }\\n }\\n last = i;\\n }\\n }\\n return result;\\n }\",\n \"public void removeJfiPayLog(final Long logId);\",\n \"public double[][] deconstructTimeSeries( double[] series, \\n int numberOfVariables, \\n int lag )\\n {\\n int N = series.length - numberOfVariables * lag;\\n while( N < 0 )\\n {\\n numberOfVariables--;\\n N = series.length - (numberOfVariables) * lag;\\n }\\n double[][] variables = new double[ numberOfVariables ][ N ];\\n\\n for( int i=0; i<numberOfVariables; i++ )\\n {\\n for( int j=0; j<N; j++ )\\n {\\n variables[ i ][ j ] = series[ i * lag + j ];\\n }\\n }\\n\\n return variables;\\n }\",\n \"public static final double calculateIntercept(final double min, final double slope, final double validMin) {\\r\\n return (min - (slope * validMin));\\r\\n }\",\n \"public void removeScript() {\\n scriptHistory = null;\\n }\",\n \"public AcademicHistory() {\\n listOfTerms = new ArrayList<Term>();\\n }\",\n \"@Override\\n\\tpublic Retorno eliminarTramo(Double coordXi, Double coordYi, Double coordXf, Double coordYf) {\\n\\t\\treturn new Retorno();\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5592576","0.5246531","0.51622653","0.47355467","0.47331023","0.46588823","0.46109483","0.45942107","0.4569927","0.4534085","0.44513577","0.4449001","0.4400845","0.434282","0.4329999","0.4318406","0.43067905","0.43048805","0.42989022","0.428638","0.42818314","0.4270482","0.42605063","0.42505586","0.42488995","0.42184848","0.42140555","0.41903374","0.419009","0.41840717","0.41547313","0.4129455","0.41291082","0.4128418","0.41216835","0.40881944","0.40880543","0.4084405","0.40788102","0.40553424","0.40487075","0.40359432","0.40212548","0.40181872","0.40066683","0.39969966","0.39888638","0.3977465","0.397555","0.3969451","0.3963241","0.39589208","0.3934281","0.39259312","0.39250398","0.39194816","0.39132756","0.39066988","0.39064208","0.38944858","0.38940504","0.38755524","0.387052","0.38692835","0.3865434","0.38504148","0.38433066","0.3839695","0.38383478","0.38350385","0.3828876","0.3827159","0.3827023","0.3817349","0.38156432","0.38058716","0.38045028","0.38004538","0.37975365","0.379736","0.37943864","0.37899035","0.37881333","0.37878415","0.37860963","0.37764016","0.37750715","0.37742695","0.37704864","0.3768415","0.3768357","0.37627327","0.3761915","0.37616155","0.37606865","0.37543127","0.3747337","0.3746294","0.374624","0.3742797"],"string":"[\n \"0.5592576\",\n \"0.5246531\",\n \"0.51622653\",\n \"0.47355467\",\n \"0.47331023\",\n \"0.46588823\",\n \"0.46109483\",\n \"0.45942107\",\n \"0.4569927\",\n \"0.4534085\",\n \"0.44513577\",\n \"0.4449001\",\n \"0.4400845\",\n \"0.434282\",\n \"0.4329999\",\n \"0.4318406\",\n \"0.43067905\",\n \"0.43048805\",\n \"0.42989022\",\n \"0.428638\",\n \"0.42818314\",\n \"0.4270482\",\n \"0.42605063\",\n \"0.42505586\",\n \"0.42488995\",\n \"0.42184848\",\n \"0.42140555\",\n \"0.41903374\",\n \"0.419009\",\n \"0.41840717\",\n \"0.41547313\",\n \"0.4129455\",\n \"0.41291082\",\n \"0.4128418\",\n \"0.41216835\",\n \"0.40881944\",\n \"0.40880543\",\n \"0.4084405\",\n \"0.40788102\",\n \"0.40553424\",\n \"0.40487075\",\n \"0.40359432\",\n \"0.40212548\",\n \"0.40181872\",\n \"0.40066683\",\n \"0.39969966\",\n \"0.39888638\",\n \"0.3977465\",\n \"0.397555\",\n \"0.3969451\",\n \"0.3963241\",\n \"0.39589208\",\n \"0.3934281\",\n \"0.39259312\",\n \"0.39250398\",\n \"0.39194816\",\n \"0.39132756\",\n \"0.39066988\",\n \"0.39064208\",\n \"0.38944858\",\n \"0.38940504\",\n \"0.38755524\",\n \"0.387052\",\n \"0.38692835\",\n \"0.3865434\",\n \"0.38504148\",\n \"0.38433066\",\n \"0.3839695\",\n \"0.38383478\",\n \"0.38350385\",\n \"0.3828876\",\n \"0.3827159\",\n \"0.3827023\",\n \"0.3817349\",\n \"0.38156432\",\n \"0.38058716\",\n \"0.38045028\",\n \"0.38004538\",\n \"0.37975365\",\n \"0.379736\",\n \"0.37943864\",\n \"0.37899035\",\n \"0.37881333\",\n \"0.37878415\",\n \"0.37860963\",\n \"0.37764016\",\n \"0.37750715\",\n \"0.37742695\",\n \"0.37704864\",\n \"0.3768415\",\n \"0.3768357\",\n \"0.37627327\",\n \"0.3761915\",\n \"0.37616155\",\n \"0.37606865\",\n \"0.37543127\",\n \"0.3747337\",\n \"0.3746294\",\n \"0.374624\",\n \"0.3742797\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.597564"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":19799,"cells":{"query":{"kind":"string","value":"Create a new historical series from this one by taking the logarithm of prices. The log returns of the new series are identical to those of the original series and equal the differences for the new series."},"document":{"kind":"string","value":"public Series logarithmic()\n {\n Series logarithmic = new Series();\n logarithmic.x = new double[logarithmic.size = size];\n logarithmic.r = r;\n for(int t = 0; t<size; t++)\n logarithmic.x[t] = Math.log(x[t]);\n return logarithmic;\n }"},"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":["public void setHistoryPrice(BigDecimal historyPrice) {\n this.historyPrice = historyPrice;\n }","public ArrayList<History> getPriceHistory() { return priceHistory; }","public BigDecimal getHistoryPrice() {\n return historyPrice;\n }","public static double sumInLogDomain(double[] logs) {\n\t\tdouble maxLog = logs[0];\n\t\tint idxMax = 0;\n\t\tfor (int i = 1; i < logs.length; i++) {\n\t\t\tif (maxLog < logs[i]) {\n\t\t\t\tmaxLog = logs[i];\n\t\t\t\tidxMax = i;\n\t\t\t}\n\t\t}\n\t\t// now calculate sum of exponent of differences\n\t\tdouble sum = 0;\n\t\tfor (int i = 0; i < logs.length; i++) {\n\t\t\tif (i == idxMax) {\n\t\t\t\tsum++;\n\t\t\t} else {\n\t\t\t\tsum += Math.exp(logs[i] - maxLog);\n\t\t\t}\n\t\t}\n\t\t// and return log of sum\n\t\treturn maxLog + Math.log(sum);\n\t}","public void setHistoryMarketPrice(BigDecimal historyMarketPrice) {\n this.historyMarketPrice = historyMarketPrice;\n }","private ArrayList<Float> convertToLog(ArrayList<Float> list){\n ArrayList<Float> convertedList = new ArrayList<>();\n for (Float current:list){\n double temp = Math.log(current);\n float newValue = (float) temp;\n convertedList.add(newValue);\n }\n return convertedList;\n\n }","private void updatePortfolioHistory(PortfolioRecord portRecord, List<StockData> stockDataUpdates) {\n List<DataPoint> newHistory = new ArrayList<>();\n Map<String, PortfolioRecord.Allocation> portAllocations = portRecord.getAllocations();\n int numDataPoints = ((HistoricalStockData) stockDataUpdates.get(0)).getHistory().size();\n double currMoneyInvested = portRecord.getCurrMoneyInvested();\n\n for (int i = 0; i < numDataPoints; i++) {\n LocalDate date = null;\n double openPortValue = 0;\n double closePortValue = 0;\n\n for (StockData stockData : stockDataUpdates) {\n HistoricalStockData historicalStockData = (HistoricalStockData) stockData;\n String ticker = historicalStockData.getTicker();\n DataPoint dataPoint = historicalStockData.getHistory().get(i);\n date = dataPoint.getDate();\n\n openPortValue += dataPoint.getMarketOpenValue() * portAllocations.get(ticker).getNumShares();\n closePortValue += dataPoint.getMarketCloseValue() * portAllocations.get(ticker).getNumShares();\n }\n\n newHistory.add(new PortfolioDataPoint(date, openPortValue, closePortValue, currMoneyInvested));\n }\n\n portRecord.addHistory(newHistory);\n }","public double[] LogSlope(double StartFreq, double StopFreq, double StartLevel, double StopLevel)\r\n {\n \r\n\tdouble levelM1 = 0.0;\r\n double levelB1 = 0.0;\r\n double levelFlag = 0.0;\r\n double[] logSLopeCalcValues = new double[7];\r\n\r\n //calculate M1 value\r\n // M1 = (Y2 - Y1) / (X2- X1)\r\n levelM1 = (Math.log10(StopLevel) - Math.log10(StartLevel)) / (Math.log10(StopFreq) - Math.log10(StartFreq));\r\n\r\n //calculate B1 value\r\n // B1 = Y2 -(M1 * X2)\r\n levelB1 = Math.log10(StopLevel) - (levelM1 * Math.log10(StopFreq));\r\n\r\n // put the values in the array to return it\r\n logSLopeCalcValues[0] = levelM1;\r\n logSLopeCalcValues[1] = levelB1;\r\n logSLopeCalcValues[2] = StartFreq;\r\n logSLopeCalcValues[3] = StopFreq;\r\n logSLopeCalcValues[4] = StartLevel;\r\n logSLopeCalcValues[5] = StopLevel;\r\n logSLopeCalcValues[6] = levelFlag;\r\n //return the array with the M1 and B1 values\r\n return logSLopeCalcValues;\r\n }","static double[] normalizeLogP(double[] lnP){\n double[] p = new double[lnP.length];\n \n // find the maximum\n double maxLnP = lnP[0];\n for (int i=1 ; i<p.length ; ++i){\n if (lnP[i] > maxLnP){\n maxLnP = lnP[i];\n }\n }\n \n // subtract the maximum and exponentiate\n // sum is guaranted to be >= 1.0;\n double sum = 0.0;\n for (int i=0 ; i<p.length ; ++i){\n p[i] = Math.exp(lnP[i] - maxLnP);\n if (!Double.isFinite(p[i])){\n p[i] = 0.0;\n }\n sum = sum + p[i];\n }\n \n // normalize sum to 1\n for (int i=0 ; i<p.length ; ++i){\n p[i] = p[i]/sum;\n }\n return p;\n }","@SuppressWarnings(\"deprecation\")\n\t@Override\n public double calculateLogP() {\n logP = 0.0;\n // jeffreys Prior!\n if (jeffreys) {\n logP += -Math.log(getChainValue(0));\n }\n for (int i = 1; i < chainParameter.getDimension(); i++) {\n final double mean = getChainValue(i - 1);\n final double x = getChainValue(i);\n\n if (useLogNormal) {\n\t final double sigma = 1.0 / shape; // shape = precision\n\t // convert mean to log space\n\t final double M = Math.log(mean) - (0.5 * sigma * sigma);\n\t logNormal.setMeanAndStdDev(M, sigma);\n\t logP += logNormal.logDensity(x);\n } else {\n final double scale = mean / shape;\n gamma.setBeta(scale);\n logP += gamma.logDensity(x);\n }\n }\n return logP;\n }","public void setLog(Logger newLog) {\r\n\t\tm_Log = newLog;\r\n\t}","public void setLOG(Logger newLog)\r\n\t{\r\n\t\tlog = newLog;\r\n\t}","@Override\n public void updateHistory() {\n List<Integer> allItemIds = determineItemIds();\n if (allItemIds == null || allItemIds.size() == 0) {\n Log.i(TAG, \"No Item Ids exists to create history data sets.\");\n return;\n }\n\n long processTs = System.currentTimeMillis();\n long startLastMonth;\n long endLastMonth;\n // determine the last month depending from the process timestamp. In the first iteration\n // the process timestamp is the current timestamp. With the second iteration,\n startLastMonth = DateHelper.startOfLastMonth(processTs);\n endLastMonth = DateHelper.endOfLastMonth(processTs);\n // iterate through all known IDs. This is required because we want to create a history entry\n // for each item\n for (int itemId : allItemIds) {\n updatePriceHistory(itemId, startLastMonth, endLastMonth);\n }\n }","public BigDecimal getHistoryMarketPrice() {\n return historyMarketPrice;\n }","@Override\n\tpublic CreditrepayplanLog getLogInstance() {\n\t\treturn new CreditrepayplanLog();\n\t}","public float nextLog ()\n {\n // Generate a non-zero uniformly-distributed random value.\n float u;\n while ((u = GENERATOR.nextFloat ()) == 0)\n {\n // try again if 0\n }\n\n return (float) (-m_fMean * Math.log (u));\n }","public final void log() throws ArithmeticException {\n\t\tif ((mksa&_LOG) != 0) throw new ArithmeticException\n\t\t(\"****Unit: log(\" + symbol + \")\") ;\n\t\tvalue = AstroMath.log(value);\n\t\tmksa |= _log;\n\t\tif (symbol != null) \n\t\t\tsymbol = \"[\" + symbol + \"]\";\t// Enough to indicate log\n\t}","public LogEntry generateLogEntry() {\n long time = getTime();\n int bloodGlucose = getBloodGlucose();\n double bolus = getBolus();\n int carbohydrate = getCarbohydrate();\n return new LogEntry(time, bloodGlucose, bolus, carbohydrate);\n }","public LogEvent newInstance()\n {\n return new LogEvent();\n }","public MarketHistoricalState() {\n\t\tthis(MarketHistoricalSnapshot.newBuilder());\n\t}","public static double [] logarithm (double [][]x){\n\t\tdouble [] log=new double [x.length-1];\n\t\t\n\t\tfor(int i=0; i<x.length-1;i++){\n\t\t\tdouble[] xk1=x[i+1];\n\t\t\tdouble[] xk=x[i];\n\t\t\tlog[i]=Math.log10(Math.max( Math.abs(xk1[0] - xk[0]), Math.abs(xk1[1] - xk[1]) ));\n\t\t\t\n\t\t}\n\t\t\n\t\treturn log;\n\t}","@Test\n public void whenLogarithmicFunctionThenLogarithmicResults() {\n FunctionMethod functionMethod = new FunctionMethod();\n List<Double> result = functionMethod.diapason(16, 18, x -> Math.log(x) / Math.log(2.0));\n List<Double> expected = Arrays.asList(4D, 4.08746284125034D);\n assertThat(result, is(expected));\n }","public static double log(double a){ \n // migrated from jWMMG - the origin of the algorithm is not known.\n if (Double.isNaN(a) || a < 0) {\n return Double.NaN;\n } else if (a == Double.POSITIVE_INFINITY) {\n return Double.POSITIVE_INFINITY;\n } else if (a == 0) {\n return Double.NEGATIVE_INFINITY;\n }\n \n long lx;\n if (a > 1) {\n lx = (long)(0.75*a); // 3/4*x\n } else {\n lx = (long)(0.6666666666666666666666666666666/a); // 2/3/x\n }\n \n int ix;\n int power;\n if (lx > Integer.MAX_VALUE) {\n ix = (int) (lx >> 31);\n power = 31;\n } else {\n ix = (int) lx;\n power = 0;\n }\n \n while (ix != 0) {\n ix >>= 1;\n power++;\n }\n \n double ret;\n if (a > 1) {\n ret = lnInternal(a / ((long) 1<<power)) + power * LN_2;\n } else {\n ret = lnInternal(a * ((long) 1<<power)) - power * LN_2;\n }\n return ret;\n }","private void updatePriceHistory(final int itemId,\n final long from,\n final long till) {\n try {\n // select all item prices to the given id in the range\n List<ItemPriceEntity> prices = mDatabaseAccess.itemsDAO().\n selectItemPricesInRange(itemId, from, till);\n if (prices != null && prices.size() > 0) {\n //Log.v(TAG, \"Update price history entry for the itemId \" + itemId);\n // creates a history entry from all prices in the time range\n ItemPriceHistoryEntity history = ItemPriceHistoryEntity.from(itemId, from, prices);\n // insert the history entry\n mDatabaseAccess.itemsDAO().insertItemPriceHistory(history);\n // delete all prices in the time range\n mDatabaseAccess.itemsDAO().deleteItemPricesInRange(itemId, from, till);\n Log.v(TAG, \"Remaining to delete: \" + mDatabaseAccess.itemsDAO()\n .selectPricesInRange(from, till));\n } else {\n //Log.d(TAG, \"The history prices for the itemId \" + itemId + \" are up to date.\");\n }\n } catch (Exception ex) {\n Log.e(TAG, \"A general failure has occurred while trying to update the price history.\",\n ex);\n }\n }","public void FindPriceState(ArrayList<Float> prices) {\n\t\t\n\t\tint window_size = 4;\n\t\tfor(int i=0; i<grad.length; i++) {\n\t\t\t\n\t\t\tif(window_size <= prices.size()) {\n\t\t\t\tLinearRegression.Regression(prices, prices.size() - window_size, prices.size());\n\t\t\t\tgrad[i] = (int) (LinearRegression.gradient * 8);\n\t\t\t}\n\t\t\t\n\t\t\twindow_size <<= 1;\n\t\t}\n\t}","public double logZero(double x);","public static DataSet getLogData(DataSet aDataSet, boolean doLogX, boolean doLogY)\n {\n // Get DataX\n DataType dataType = aDataSet.getDataType();\n int pointCount = aDataSet.getPointCount();\n boolean hasZ = dataType.hasZ();\n double[] dataX = new double[pointCount];\n double[] dataY = new double[pointCount];\n double[] dataZ = hasZ ? new double[pointCount] : null;\n for (int i=0; i<pointCount; i++) {\n double valX = aDataSet.getX(i);\n double valY = aDataSet.getY(i);\n double valZ = hasZ ? aDataSet.getZ(i) : 0;\n\n dataX[i] = doLogX ? ChartViewUtils.log10(valX) : valX;\n dataY[i] = doLogY ? ChartViewUtils.log10(valY) : valY;\n if (hasZ)\n dataZ[i] = valZ;\n }\n\n // Return new DataSet for type and values\n return DataSet.newDataSetForTypeAndValues(dataType, dataX, dataY, dataZ);\n }","public static double[] logarit(double[] data, double base) {\n\t\tdouble[] result = new double[data.length];\n\t\tfor (int i = 0; i < data.length; i++) {\n\t\t\tif (base == Math.E)\n\t\t\t\tresult[i] = Math.log(data[i]);\n\t\t\telse if (base == 10)\n\t\t\t\tresult[i] = Math.log10(data[i]);\n\t\t}\n\t\t\n\t\treturn result;\n\t}","public HistoryAuction(String name, ArrayList<Product> products, ArrayList<String> participants) {\n super(name, products, participants);\n priceHistory = new ArrayList<>(products.size());\n }","private double logSumExp(double x[]) {\n double maxx = Double.NEGATIVE_INFINITY;\n for (double d : x) {\n if (d > maxx) { maxx = d; }\n }\n double sum = 0.0;\n for (double d : x) {\n sum += Math.exp(d-maxx);\n }\n return maxx + Math.log(sum);\n }","private void log(Complex[] F) {\r\n\r\n\t\tF[0].setReal(Math.log10(1 + F[0].getReal()));\r\n\t\tmaX = F[0].getReal();\r\n\r\n\t\tmiN = F[0].getReal();\r\n\r\n\t\tfor (int i = 1; i < F.length; i++) {\r\n\t\t\tF[i].setReal(Math.log10(1 + F[i].getReal()));\r\n\t\t\tif (F[i].getReal() > maX) {\r\n\t\t\t\tmaX = F[i].getReal();\r\n\t\t\t}\r\n\t\t\tif (F[i].getReal() < miN) {\r\n\t\t\t\tmiN = F[i].getReal();\r\n\t\t\t}\r\n\r\n\t\t} \r\n\r\n\t}","public static double genExp(double a) {\r\n\t\tdouble x = 1 - generator.nextDouble();\r\n\t\tdouble exp = -1 * Math.log(x) * a;\r\n\t\treturn exp;\r\n\r\n\t}","@Test\n public void whenInvokeThenReturnsLogarithmValues() {\n Funcs funcs = new Funcs();\n\n List<Double> expected = Arrays.asList(0D, 0.301D, 0.477D);\n List<Double> result = funcs.range(1, 3,\n (pStart) -> {\n double resultValue = Math.log10(pStart);\n resultValue = Math.rint(resultValue * 1000) / 1000;\n return resultValue;\n });\n\n assertThat(result, is(expected));\n }","public SpeedAlertsHistory() {\n this(DSL.name(\"speed_alerts_history\"), null);\n }","protected Log getLog()\n/* */ {\n/* 59 */ return log;\n/* */ }","@Test\n public void testAbsEqual() { \n assertTrue(!Double.isNaN(sLog.fromReal(Double.POSITIVE_INFINITY)));\n assertTrue(Double.isNaN(sLog.fromReal(Double.NEGATIVE_INFINITY)));\n {\n double v1 = sLog.fromReal(3);\n double v2 = sLog.fromReal(-3);\n double sum = sLog.plus(v1, v2);\n System.out.printf(\"%0#16x\\n\", Double.doubleToRawLongBits(sum));\n assertEquals(0l | Double.doubleToRawLongBits(Double.NEGATIVE_INFINITY), Double.doubleToRawLongBits(sum));\n assertFalse(Double.isNaN(sum));\n assertFalse(Double.isNaN(sLog.toReal(sum)));\n }\n {\n double v1 = sLog.fromReal(-3);\n double v2 = sLog.fromReal(3);\n double sum = sLog.plus(v1, v2);\n System.out.printf(\"%0#16x\\n\", Double.doubleToRawLongBits(sum));\n assertEquals(1l | Double.doubleToRawLongBits(Double.NEGATIVE_INFINITY), Double.doubleToRawLongBits(sum));\n assertTrue(Double.isNaN(sum));\n assertFalse(Double.isNaN(sLog.toReal(sum)));\n }\n }","public BigDecimal getPriceStdOld();","public static double CalcLevel_Log(double SlopeStart, double SlopeStop,double FreqPoint)\r\n {\n double levelLog = 0.0;\r\n double tempY = 0.0;\r\n\r\n tempY = SlopeStart * (Math.log10(FreqPoint)) + SlopeStop;\r\n levelLog = (Math.pow(10, tempY));\r\n\r\n return levelLog;\r\n }","public BigDecimal getPriceListOld();","private void updatePriceStats(double newPrice) {\n this.currentPrice = newPrice;\n this.currentAvgPrice = Double.parseDouble(decimalFormat.format(computeSMA(newPrice, currentAvgPrice, priceHistory)));\n this.priceChangePCT = Double.parseDouble(decimalFormat.format(computeDifferentialPCT(newPrice, currentAvgPrice)));\n }","public SensorLog(Date when, Float temperature) {\n this.when = when;\n this.temperature = temperature;\n }","public static double logarit(double value, double base) {\n\t\tif (base == Math.E)\n\t\t\treturn Math.log(value);\n\t\telse if (base == 10)\n\t\t\treturn Math.log10(value);\n\t\telse\n\t\t\treturn Double.NaN;\n\t\t\t\n\t}","public ProductWarehouseWithHistory(String productName, double capacity, double initialBalance){\n super(productName, capacity);\n this.inventoryHistory = new ChangeHistory();\n this.addToWarehouse(initialBalance);\n }","private double log2(double number){\n return (Math.log(number) / Math.log(2));\n }","@Override\r\n\tpublic void addLog(Log log) throws RuntimeException {\n\t\tlogMapper.addLog(log);\r\n\t}","public Element NewexpandLog(Element func, Ring ring){\n if (func instanceof F) {\n F f = (F) func;\n Element[] NEWARGS = new Element[f.X.length];\n for (int j = 0; j < NEWARGS.length; j++) NEWARGS[j] = NewexpandLog(f.X[j], ring); \n Element[] argLog2=null; boolean notTaken=true; int name=0;\n switch (f.name) {\n case F.LOG: argLog2=f.X; notTaken=false; name=F.LOG; argLog2[1]=NEWARGS[1]; argLog2[0]=NEWARGS[0];\n case F.LG: if (notTaken){ argLog2=new Element[2]; \n argLog2[0]=NumberZ.TEN; argLog2[1]=NEWARGS[0]; notTaken=false; name = F.LG;}\n case F.LN: if (notTaken){ argLog2=new Element[2]; \n argLog2[0]=Element.CONSTANT_E; argLog2[1]=NEWARGS[0]; notTaken=false;name = F.LN;} \n Element osn = argLog2[0];//основание \n Element argument = argLog2[1];//аргумент;\n boolean flagAbs = false;\n if(argument instanceof F) {\n argument = undressAbs((F) argument, ring);\n if(argument == null) {\n argument = argLog2[1];\n } else {\n flagAbs = true;\n }\n }\n Element pol = ring.CForm.ElementConvertToPolynom(argument);\n return toSumOfLogs(pol, osn, name, flagAbs, ring);\n// if(argument instanceof Polynom){\n// Polynom p=(Polynom)argument; FactorPol fp=p.factorOfPol_inQ(false, ring);\n// if(fp.multin.length>1){ Element[] mm= new Element[fp.multin.length];\n// for (int i = 0; i < fp.multin.length; i++) \n// mm[i]=(name==F.LOG)? \n// new F(name, argLog2[0], fp.multin[i]): new F(name, fp.multin[i]) ; \n// for (int i = 0; i < fp.multin.length; i++) \n// if(fp.powers[i]>1)\n// mm[i]=new F(F.MULTIPLY, new NumberZ(fp.powers[i]),mm[i]); \n// return new F(F.ADD, mm);\n// } else return (name==F.LOG)? new F(name, argLog2): new F(name, argLog2[1]); \n// }// end of polynom ----------------------------------------------------------- \n// Element[] argN=null;\n// if (name==F.LOG){\n// if((NEWARGS[1] instanceof F)&& (((F)NEWARGS[1]).name==F.MULTIPLY) ) {F f3=(F)NEWARGS[1];\n// argN=new Element[f3.X.length]; \n// for (int i = 0; i < argN.length; i++) argN[i]= new F(name, NEWARGS[0], f3.X[i]);\n// return new F(F.ADD, argN);}}\n// else if ((NEWARGS[0] instanceof F)&& (((F)NEWARGS[0]).name==F.MULTIPLY) ) {F f3=(F)NEWARGS[0];\n// argN=new Element[f3.X.length]; \n// for (int i = 0; i < argN.length; i++) {\n// if( (f3.X[i] instanceof F) && \n// ( (((F)f3.X[i]).name == F.POW) ||(((F)f3.X[i]).name == F.intPOW) ) ) {\n// argN[i]= new F(F.MULTIPLY, ((F)f3.X[i]).X[1], new F(name, ((F)f3.X[i]).X[0]) );\n// } else {\n// argN[i]= new F(name, f3.X[i]);\n// }\n// }\n// return new F(F.ADD, argN);\n// } else return new F(name, NEWARGS); \n case F.ID: return NEWARGS[0] ; \n case F.ADD:\n Element[] newArg= new Element[NEWARGS.length];\n Element sum=ring.numberZERO; int j=0;\n for (int i = 0; i < NEWARGS.length; i++) { \n if (NEWARGS[i].numbElementType() <= Ring.Polynom){sum = sum.add(NEWARGS[i], ring);\n } else {newArg[j++] = NEWARGS[i];}\n } \n if(!sum.isZero(ring)) {newArg[j++]=sum;}\n if ((j<NEWARGS.length)||(!sum.isZero(ring))) {if (j==NEWARGS.length) return new F(F.ADD, newArg);\n Element[] newArg1= new Element[j];\n System.arraycopy(newArg, 0, newArg1, 0, j); return (j>1)? new F(F.ADD, newArg1):newArg1[0]; \n }else return new F(F.ADD, newArg);\n case F.DIVIDE:\n // Сокращаем дробь.\n Element el = new F(F.DIVIDE, NEWARGS);\n el = ring.CForm.ElementConvertToPolynom(el);\n return ring.CForm.ElementToF(el);\n case F.intPOW:\n case F.POW:\n if((NEWARGS[0] instanceof F)&&(((F)NEWARGS[0]).name==F.MULTIPLY)){\n Element[] ee1=((F)NEWARGS[0]).X;\n for (int i = 0; i < ee1.length; i++) {\n if(ee1[i] instanceof F){\n F sf=(F)ee1[i];\n Element pow1= ((sf.name==F.intPOW)||(sf.name==F.POW))? NEWARGS[1].multiply(sf.X[1],ring):NEWARGS[1];\n ee1[i]=((sf.name==F.intPOW)||(sf.name==F.POW))? new F(sf.name, sf.X[0], pow1):\n new F(f.name, sf, pow1);\n }else ee1[i]= new F(f.name, ee1[i], NEWARGS[1]);\n }\n return new F(F.MULTIPLY, ee1);\n }else return new F(f.name, NEWARGS);\n \n case F.ABS: Element ARG=NEWARGS[0]; Element RES=null; \n if(ARG instanceof F){ F f1=(F)ARG;\n if ((f1.name==F.POW)||(f1.name==F.intPOW))\n return new F(f1.name, new F(F.ABS,f1.X[0] ),f1.X[1]);\n if (f1.name==F.MULTIPLY){\n Element[] nAr=new Element[f1.X.length];\n for (int i = 0; i < nAr.length; i++) {\n if ((f1.X[i] instanceof F)&& \n ((((F)f1.X[i]).name==F.POW)||(((F)f1.X[i]).name==F.intPOW))){\n F f2=(F)f1.X[i];\n nAr[i]= new F(f2.name, new F(F.ABS,f2.X[0]),f2.X[1]);}\n else nAr[i]= new F(F.ABS, f1.X[i]); }\n return new F(((F)ARG).name, nAr); \n }}else return new F(F.ABS, ARG);\n default:\n return new F(f.name,NEWARGS);\n }\n } \n if(func instanceof Fraction){\n if(func.isItNumber()) {\n return func;\n }\n Fraction frac = (Fraction)func;\n if( ( frac.num instanceof F) ||\n ( frac.denom instanceof F) ) {\n Element el = new F(F.DIVIDE, frac.num, frac.denom);\n return NewexpandLog(el, ring);\n }\n return frac.cancel(ring);\n }\n return func; // Fname, числа ,полиномы, матрицы и вектора он оставляет без изменений\n }","public String trade_history(String pair, int since) {\n\t\treturn this.apiCall(\"trade_history\", pair, (\"since,\" + since), false);\n\t}","public static final float log(float x) {\n \t\tif (!(x > 0f)) {\n \t\t\treturn Float.NaN;\n \t\t}\n \t\t//\n \t\tif (x == 1f) {\n \t\t\treturn 0f;\n \t\t}\n \t\t// Argument of _log must be (0; 1]\n \t\tif (x > 1f) {\n \t\t\tx = 1 / x;\n \t\t\treturn -_log(x);\n \t\t}\n \t\t;\n \t\t//\n \t\treturn _log(x);\n \t}","public Hypergeometric(LogFactorialSerie logFactorial) {\n this.logFactorial = logFactorial;\n }","void log(Log log);","@Override\r\n\tpublic ItemLog createItemLog() {\n\t\treturn new HpLog();\r\n\t}","public File newLogFile() {\n File flog = null;\n try {\n this.logFileName = getTimestamp() + \".xml\";\n this.pathToLogFile = logFileFolder + logFileName;\n URL logURL = new URL(this.pathToLogFile);\n flog = new File(logURL.toURI());\n if (!flog.exists()) {\n flog.createNewFile();\n }\n } catch (Exception ex) {\n log.error(\"newLogFile :\"+ ex.getMessage());\n } finally{\n this.fLogFile = flog;\n return flog;\n }\n }","public static double QESPRLOG(double val) {\n\t\treturn (8.0 + Math.log10(QESPR(val)))/ 8.0;\n\t}","public void addLog(Log p) {\n logs.add(p);\n }","static final float interp_energy(final float prev_e, final float next_e)\n\t{\n\t\treturn (float)Math.pow( 10.0, (Math.log10( prev_e ) + Math.log10( next_e )) / 2.0 );\n\t}","public final EObject ruleNaturalLogarithmFunction() throws RecognitionException {\r\n EObject current = null;\r\n\r\n Token otherlv_1=null;\r\n Token otherlv_3=null;\r\n EObject lv_operator_0_0 = null;\r\n\r\n EObject lv_value_2_0 = null;\r\n\r\n\r\n enterRule(); \r\n \r\n try {\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3594:28: ( ( ( (lv_operator_0_0= ruleNaturalLogarithmOperator ) ) otherlv_1= '(' ( (lv_value_2_0= ruleNumberExpression ) ) otherlv_3= ')' ) )\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3595:1: ( ( (lv_operator_0_0= ruleNaturalLogarithmOperator ) ) otherlv_1= '(' ( (lv_value_2_0= ruleNumberExpression ) ) otherlv_3= ')' )\r\n {\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3595:1: ( ( (lv_operator_0_0= ruleNaturalLogarithmOperator ) ) otherlv_1= '(' ( (lv_value_2_0= ruleNumberExpression ) ) otherlv_3= ')' )\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3595:2: ( (lv_operator_0_0= ruleNaturalLogarithmOperator ) ) otherlv_1= '(' ( (lv_value_2_0= ruleNumberExpression ) ) otherlv_3= ')'\r\n {\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3595:2: ( (lv_operator_0_0= ruleNaturalLogarithmOperator ) )\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3596:1: (lv_operator_0_0= ruleNaturalLogarithmOperator )\r\n {\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3596:1: (lv_operator_0_0= ruleNaturalLogarithmOperator )\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3597:3: lv_operator_0_0= ruleNaturalLogarithmOperator\r\n {\r\n if ( state.backtracking==0 ) {\r\n \r\n \t newCompositeNode(grammarAccess.getNaturalLogarithmFunctionAccess().getOperatorNaturalLogarithmOperatorParserRuleCall_0_0()); \r\n \t \r\n }\r\n pushFollow(FOLLOW_ruleNaturalLogarithmOperator_in_ruleNaturalLogarithmFunction7653);\r\n lv_operator_0_0=ruleNaturalLogarithmOperator();\r\n\r\n state._fsp--;\r\n if (state.failed) return current;\r\n if ( state.backtracking==0 ) {\r\n\r\n \t if (current==null) {\r\n \t current = createModelElementForParent(grammarAccess.getNaturalLogarithmFunctionRule());\r\n \t }\r\n \t\tset(\r\n \t\t\tcurrent, \r\n \t\t\t\"operator\",\r\n \t\tlv_operator_0_0, \r\n \t\t\"NaturalLogarithmOperator\");\r\n \t afterParserOrEnumRuleCall();\r\n \t \r\n }\r\n\r\n }\r\n\r\n\r\n }\r\n\r\n otherlv_1=(Token)match(input,43,FOLLOW_43_in_ruleNaturalLogarithmFunction7665); if (state.failed) return current;\r\n if ( state.backtracking==0 ) {\r\n\r\n \tnewLeafNode(otherlv_1, grammarAccess.getNaturalLogarithmFunctionAccess().getLeftParenthesisKeyword_1());\r\n \r\n }\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3617:1: ( (lv_value_2_0= ruleNumberExpression ) )\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3618:1: (lv_value_2_0= ruleNumberExpression )\r\n {\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3618:1: (lv_value_2_0= ruleNumberExpression )\r\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3619:3: lv_value_2_0= ruleNumberExpression\r\n {\r\n if ( state.backtracking==0 ) {\r\n \r\n \t newCompositeNode(grammarAccess.getNaturalLogarithmFunctionAccess().getValueNumberExpressionParserRuleCall_2_0()); \r\n \t \r\n }\r\n pushFollow(FOLLOW_ruleNumberExpression_in_ruleNaturalLogarithmFunction7686);\r\n lv_value_2_0=ruleNumberExpression();\r\n\r\n state._fsp--;\r\n if (state.failed) return current;\r\n if ( state.backtracking==0 ) {\r\n\r\n \t if (current==null) {\r\n \t current = createModelElementForParent(grammarAccess.getNaturalLogarithmFunctionRule());\r\n \t }\r\n \t\tset(\r\n \t\t\tcurrent, \r\n \t\t\t\"value\",\r\n \t\tlv_value_2_0, \r\n \t\t\"NumberExpression\");\r\n \t afterParserOrEnumRuleCall();\r\n \t \r\n }\r\n\r\n }\r\n\r\n\r\n }\r\n\r\n otherlv_3=(Token)match(input,44,FOLLOW_44_in_ruleNaturalLogarithmFunction7698); if (state.failed) return current;\r\n if ( state.backtracking==0 ) {\r\n\r\n \tnewLeafNode(otherlv_3, grammarAccess.getNaturalLogarithmFunctionAccess().getRightParenthesisKeyword_3());\r\n \r\n }\r\n\r\n }\r\n\r\n\r\n }\r\n\r\n if ( state.backtracking==0 ) {\r\n leaveRule(); \r\n }\r\n }\r\n \r\n catch (RecognitionException re) { \r\n recover(input,re); \r\n appendSkippedTokens();\r\n } \r\n finally {\r\n }\r\n return current;\r\n }","public double log(double d){\r\n\r\n\t\tif(d == 0){\r\n\t\t\treturn 0.0;\r\n\t\t} else {\r\n\t\t\treturn Math.log(d)/Math.log(2);\r\n\t\t}\r\n\r\n\t}","public static List<OptionPricing> getPriceHistory(Date startTradeDate, Date endTradeDate, Date expiration, double strike, String callPut) {\r\n\t\t\r\n\t\tEntityManagerFactory emf = Persistence.createEntityManagerFactory(\"JPAOptionsTrader\");\r\n\t\tEntityManager em = emf.createEntityManager();\r\n\t\t\r\n\t\t// Note: table name refers to the Entity Class and is case sensitive\r\n\t\t// field names are property names in the Entity Class\r\n\t\tQuery query = em.createQuery(\"select opt from \" + TradeProperties.SYMBOL_FOR_QUERY + \" opt where \"\r\n\t\t\t\t+ \"opt.trade_date >= :startTradeDate \" \r\n\t\t\t\t+ \"and opt.trade_date <= :endTradeDate \" \r\n\t\t\t\t+ \"and opt.expiration=:expiration \"\t\r\n\t\t\t\t+ \"and opt.call_put = :call_put \"\r\n\t\t\t\t+ \"and opt.strike = :strike \"\r\n\t\t\t\t+ \" order by opt.trade_date\");\r\n\t\t\r\n\t\tquery.setParameter(\"startTradeDate\", startTradeDate);\r\n\t\tquery.setParameter(\"endTradeDate\", endTradeDate);\r\n\t\tquery.setParameter(\"expiration\", expiration);\r\n\t\tquery.setParameter(\"call_put\", callPut);\r\n\t\tquery.setParameter(\"strike\", strike);\r\n\t\t\r\n\t\tquery.setHint(\"odb.read-only\", \"true\");\r\n\r\n\t\t@SuppressWarnings(\"unchecked\")\r\n\t\tList<OptionPricing> options = query.getResultList();\r\n\t\t\r\n\t\tem.close();\r\n\t\t\r\n\t\treturn options;\r\n\t}","public double logResult(double f) {\n double r;\n try {\n r = 20 * Math.log10(result(f));\n } catch (Exception e) {\n r = -100;\n }\n if (Double.isInfinite(r) || Double.isNaN(r)) {\n r = -100;\n }\n return r;\n }","public History(ArrayList<Order> orders) {\n this.orders = orders;\n }","static private float _log(float x) {\n \t\tif (!(x > 0f)) {\n \t\t\treturn Float.NaN;\n \t\t}\n \t\t//\n \t\tfloat f = 0f;\n \t\t//\n \t\tint appendix = 0;\n \t\twhile ((x > 0f) && (x <= 1f)) {\n \t\t\tx *= 2f;\n \t\t\tappendix++;\n \t\t}\n \t\t//\n \t\tx /= 2f;\n \t\tappendix--;\n \t\t//\n \t\tfloat y1 = x - 1f;\n \t\tfloat y2 = x + 1f;\n \t\tfloat y = y1 / y2;\n \t\t//\n \t\tfloat k = y;\n \t\ty2 = k * y;\n \t\t//\n \t\tfor (long i = 1; i < 10; i += 2) {\n \t\t\tf += k / i;\n \t\t\tk *= y2;\n \t\t}\n \t\t//\n \t\tf *= 2f;\n \t\tfor (int i = 0; i < appendix; i++) {\n \t\t\tf += FLOAT_LOGFDIV2;\n \t\t}\n \t\t//\n //\t\tlogger.info(\"exit _log\" + f);\n \t\treturn f;\n \t}","private void generateTrades() {\n\t\tSystem.out.println(\"\\nGenerating fake trade records for stock: \" + stockSymbol);\n Random rd = new Random();\n \n for (int i = 0; i < 5; i++) {\n // Create arbitrary timestamp and TradeRecord data \n \t// within the last 20 minutes\n \n int minutes = rd.nextInt(21);\n int sharesQty = rd.nextInt(100) + 1;\n boolean isBuy = rd.nextBoolean();\n double price = (rd.nextDouble() + 0.1) * 100;\n // truncate price to 2 decimal places\n String tmpPrc = String.format(Locale.ENGLISH, \"%.2f\", price);\n price = Double.parseDouble(tmpPrc);\n TradeRecordType indicator = isBuy ? TradeRecordType.BUY : TradeRecordType.SELL;\n \n Calendar cal = Calendar.getInstance();\n cal.add(Calendar.MINUTE, -minutes);\n Date date = cal.getTime();\n \n // Create and save fake trade record\n TradeRecord rec = new TradeRecord(date, sharesQty, indicator, price);\n System.out.println(rec);\n this.stockTrades.put(date, rec);\n }\n }","public void setPriceStdOld (BigDecimal PriceStdOld);","void stockPriceChanged(Stock stock, double oldValue, double newValue);","@Override\n public List<Member> apply(List<Member> expression) {\n Double a, x;\n try {\n a = ((Number) expression.get(getPositionFirstOperand())).getDoubleValue();\n x = ((Number) expression.get(getPositionSecondOperand())).getDoubleValue();\n } catch (ClassCastException e) {\n throw new InputException(\n expression.get(position).getValue() + \" \" +\n expression.get(getPositionFirstOperand()).getValue() + \" \" +\n expression.get(getPositionSecondOperand()).getValue() + \" \");\n }\n\n if ((x > 0d) && (a > 0d) && (a != 1d)) {\n Double log10X = Math.log10(x);\n Double log10A = Math.log10(a);\n Double result = log10X / log10A;\n\n List<Member> resultList = new LinkedList<>(expression);\n resultList.remove(getPositionSecondOperand());\n resultList.remove(getPositionFirstOperand());\n resultList.remove(position);\n resultList.add(position, new Number(result.toString()));\n\n return resultList;\n } else {\n throw new ArithmeticException(\"Logarithm log(b,x) must meet next conditions: b!=1, b>0, x>0.\");\n }\n\n }","private TicketLog createLog() throws SQLException {\n\t\t\t\t\treturn new TicketLog(rs.getLong(1), rs.getString(2),\n\t\t\t\t\t\t\trs.getLong(3),\n\t\t\t\t\t\t\tTicketLog.Action.valueOf(rs.getString(4)),\n\t\t\t\t\t\t\trs.getInt(5));\n\t\t\t\t}","public LastSale(String id, Turn when, int price) {\n setId(id);\n this.when = when;\n this.price = price;\n }","private ListSeries getTodayData() {\n\t\tListSeries dollarEarning = new ListSeries();\n\t\tdouble number = 0;\n\t\tnumber = controler.getTodaysTransactionSummary();\n\t\tdollarEarning.addData(number);\n\t\t\n\t\treturn dollarEarning;\n\t}","public SolarlogData5Min cloneSolarlogData5Min(SolarlogData5Min orig, Instant recordTimestamp, int recordVersion) {\n SolarlogData5Min newSolarlog = new SolarlogData5Min();\n newSolarlog.setHeatpump(orig.getHeatpump());\n newSolarlog.setInverters(orig.getInverters());\n newSolarlog.setPhases(orig.getPhases());\n newSolarlog.setEAcInverterDay(orig.getEAcInverterDay());\n newSolarlog.setPAcInverter(orig.getPAcInverter());\n newSolarlog.setPAcUsage(orig.getPAcUsage());\n newSolarlog.setRecordState(orig.getRecordState());\n newSolarlog.setWeather(orig.getWeather());\n\n String recordTimeStampString = SolarlogData5Min.getISOStringFromInstant(recordTimestamp);\n\n newSolarlog.setRecordTimestamp(recordTimeStampString);\n newSolarlog.setRecordVersion(recordVersion);\n\n Instant updateTimestamp = newSolarlog.getRecordTimestampAsInstant().plusSeconds(90);\n String updateTimestampString = SolarlogData5Min.getISOStringFromInstant(updateTimestamp);\n newSolarlog.setUpdateTimestamp(updateTimestampString);\n\n return newSolarlog;\n }","public void computeLogLikelihood(double[] betas, Instances instances) {\n //Basic implementation done in the prior class.\n super.computelogLikelihood(betas, instances);\n }","public static void main(String[] args) {\n Account anushaAccount = new Account(456123, \"SBIK1014\", 100);\n Account priyaAccount = new Account(789456, \"SBIK1014\", 200);\n Account dhanuAccount = new Account(951753, \"SBIK1014\", 300);\n\n ArrayList<Account> accounts = new ArrayList<>();\n\n accounts.add(anushaAccount);\n accounts.add(priyaAccount);\n accounts.add(dhanuAccount);\n\n TransactionHistory anuTranHist1 = new TransactionHistory(\"8-Jun-2018\", \"savaings\", 25000);\n TransactionHistory anuTranHist2 = new TransactionHistory(\"28-nov-2018\", \"current\", 50000);\n TransactionHistory anuTranHist3 = new TransactionHistory(\"15-Mar-2018\", \"savaings\", 5000);\n\n TransactionHistory priyaTranHist1 = new TransactionHistory(\"8-Jun-2018\", \"savaings\", 25000);\n TransactionHistory priyaTranHist2 = new TransactionHistory(\"28-nov-2018\", \"current\", 50000);\n TransactionHistory priyaTranHist3 = new TransactionHistory(\"15-Mar-2018\", \"savaings\", 5000);\n\n TransactionHistory dhanuTranHist1 = new TransactionHistory(\"8-Jun-2018\", \"savaings\", 25000);\n TransactionHistory dhanuTranHist2 = new TransactionHistory(\"28-nov-2018\", \"current\", 50000);\n TransactionHistory dhanuTranHist3 = new TransactionHistory(\"15-Mar-2018\", \"savaings\", 5000);\n\n\n ArrayList<TransactionHistory> anuTransactionHistory = new ArrayList<>();\n anuTransactionHistory.add(anuTranHist1);\n anuTransactionHistory.add(anuTranHist2);\n anuTransactionHistory.add(anuTranHist3);\n\n ArrayList<TransactionHistory> priyaTransactionHistory = new ArrayList<>();\n anuTransactionHistory.add(priyaTranHist1);\n anuTransactionHistory.add(priyaTranHist2);\n anuTransactionHistory.add(priyaTranHist3);\n\n ArrayList<TransactionHistory> dhanuTransactionHistory = new ArrayList<>();\n anuTransactionHistory.add(dhanuTranHist1);\n anuTransactionHistory.add(dhanuTranHist2);\n anuTransactionHistory.add(dhanuTranHist3);\n\n //useless code\n //you have already instantiated arraylist above and filled it with objects.. you can use that\n // List<Account> accountDetails=Arrays.asList(anushaAccount,priyaAccount,dhanuAccount);\n //List<TransactionHistory> transHistory=Arrays.asList(anuTranHist1,anuTranHist2,anuTranHist3);\n\n Customer anusha = new Customer(\"anusha\", 26, \"28-mar-92\", anushaAccount, anuTransactionHistory);\n Customer priya = new Customer(\"priya\", 22, \"15-oct-96\", priyaAccount, priyaTransactionHistory);\n Customer dhanu = new Customer(\"dhanu\", 32, \"05-jan-82\", dhanuAccount, dhanuTransactionHistory);\n\n anusha.setAccount(anushaAccount);\n priya.setAccount(priyaAccount);\n dhanu.setAccount(dhanuAccount);\n\n List<Customer> customerDetails = Arrays.asList(anusha, priya, dhanu);\n\n\n Bank bank = new Bank(\"SBI\", \"BNGLR\", customerDetails);\n\n// use the utitlity class here and output the customer object with the highest amount\n // check if your logic is running fine and fix this by morning. I have to finish work, and will leave it to you.\n Customer highestAmountCustomer = BankUtility.getCustomerWithHighestDeposit(bank);\n\n System.out.println(\"Customer with highest bank balance is \"+ highestAmountCustomer.getName() + \" with value \"+highestAmountCustomer.getAccount().getAmount());\n }","public void setPriceListOld (BigDecimal PriceListOld);","@Override\r\n\tpublic double evaluate(double input1) throws ArithmeticException \r\n\t{\n\t\treturn Math.log(input1);\r\n\t}","public static double[][] logarit(double[][] data, double base) {\n\t\tdouble[][] result = new double[data.length][];\n\t\t\n\t\tfor (int i = 0; i < data.length; i++) {\n\t\t\tresult[i] = logarit(data[i], base);\n\t\t}\n\t\t\n\t\treturn result;\n\t}","public void setHistoryRebate(BigDecimal historyRebate) {\n this.historyRebate = historyRebate;\n }","private static double log2(double x) {\n return Math.log(x) / Math.log(2);\n }","private static void writeToFilePriceHistory() throws IOException {\n FileWriter write = new FileWriter(path3, append);\n PrintWriter print_line = new PrintWriter(write);\n ArrayList<Product> stock = Inventory.getStock();\n for (int i = 0; i < stock.size(); i++) {\n Product product = (Product) stock.get(i);\n int UPC = product.getUpc();\n ArrayList<String> priceH = product.price.getArrayPriceHistory();\n for (int j = 0; j < priceH.size(); j++) {\n String price = priceH.get(j);\n textLine = UPC + \" \" + price;\n print_line.printf(\"%s\" + \"%n\", textLine);\n }\n }\n print_line.close();\n }","@Override\n public ProductBacklog createNewBacklog(ProductBacklog productBacklog) {\n return backlogRepository.save(productBacklog);\n }","public void setLog(XLog log) {\n\n\t}","public T elementLog() {\n T c = createLike();\n ops.elementLog(mat, c.mat);\n return c;\n }","public static float log(float base, float arg) {\n return (nlog(arg)) / nlog(base);\n }","@Test\n public void testLogP() {\n System.out.println(\"logP\");\n NegativeBinomialDistribution instance = new NegativeBinomialDistribution(3, 0.3);\n instance.rand();\n assertEquals(Math.log(0.027), instance.logp(0), 1E-7);\n assertEquals(Math.log(0.0567), instance.logp(1), 1E-7);\n assertEquals(Math.log(0.07938), instance.logp(2), 1E-7);\n assertEquals(Math.log(0.09261), instance.logp(3), 1E-7);\n assertEquals(Math.log(0.05033709), instance.logp(10), 1E-7);\n }","private void naturalLog()\n\t{\n\t\tif(Fun == null)\n\t\t{\n\t\t\tsetLeftValue();\n\t\t\tresult = calc.naturalLog ( );\n\t\t\tupdateText();\n\t\t}\n\t}","private TraceableFloat mutateGene(TraceableFloat a, float new_a_value, EvolutionState state){\n\n if(a.getValue() == new_a_value)//return the original gene if the value was not altered\n return a;\n\n double influence_factor_mut = Math.abs(a.getValue() - new_a_value) / (Math.abs(a.getValue()) + Math.abs(a.getValue() - new_a_value));\n double influence_factor_old = 1 - influence_factor_mut;\n\n List<TraceTuple> a_traceVector = new ArrayList<TraceTuple>();\n\n int i = 0; //index for this traceVector\n\n //check if we accumulate and the first element is already the mutation\n if(state.getAccumulateMutatioImpact() && a.getTraceVector().get(0).getTraceID() == state.getMutationCounter()){//if we accumulate mutation and the gene is influenced by mutation, accumulate that\n double oldScaledMutImpact = a.getTraceVector().get(0).getImpact() * influence_factor_old;\n a_traceVector.add(new TraceTuple(state.getMutationCounter(), influence_factor_mut + oldScaledMutImpact));\n i++; //increment i, as the first element of the traceList from a is already added\n } else { //add the new mutation ID if we don't accumulate or there is no mutation present bevore\n a_traceVector.add(new TraceTuple(state.getMutationCounter(), influence_factor_mut));\n }\n\n while(i < a.getTraceVector().size()){ //this iterates over the traceVector of this individual\n int currentAID = a.getTraceVector().get(i).getTraceID();\n double currentAImpact = a.getTraceVector().get(i).getImpact();\n\n a_traceVector.add(new TraceTuple(currentAID, influence_factor_old * currentAImpact));\n i++;\n }\n\n return new TraceableFloat(new_a_value, a_traceVector);\n }","Stream<DataPoint> getHistoryData(Symbol symbol, LocalDateTime startTime, LocalDateTime endTime, int numberOfPoints);","public void createNewStock(Stock stock) throws DuplicateEntry, InvalidDateEntry {\n\t\tif (!validateDate(stock.getDate())) {\n\t\t\tlog.error(\"Date entered is a future date for:\" + stock.getStock() + \"date given : \" + stock.getDate());\n\t\t\tthrow new InvalidDateEntry(\n\t\t\t\t\t\"Date entered is a future date for: \" + stock.getStock() + \" date given : \" + stock.getDate());\n\t\t}\n\n\t\tif (checkForDuplicates(new StockId(stock.getStock(), stock.getDate()))) {\n\t\t\tlog.error(\"Duplcate Record for :\" + stock.getStock() + \"on \" + stock.getDate());\n\t\t\tthrow new DuplicateEntry(\"Duplcate Record for : \" + stock.getStock() + \" on \" + stock.getDate());\n\t\t}\n\n\t\tstockRepo.save(stock);\n\n\t}","public void setOriginalPrice(Float OriginalPrice) {\n this.OriginalPrice = OriginalPrice;\n }","public List<Sale> getSalesLog() {\n return salesLog;\n }","@Override\n\tpublic int addLog(Log l) {\n\t\tString sql = \"INSERT INTO t_log(fTime,fTel,fType,fDocld,fResult)values(?,?,?,?,?)\";\n\t\tint result = 0;\n\t\tObject[] params = {l.getfTime(),l.getfTel(),l.getfType(),l.getfDocld(),l.getfResult()};\n\t\ttry {\n\t\t\tresult = qr.update(sql,params);\n\t\t} catch (SQLException e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn result;\n\t}","private static int getlog(int operand, int base) {\n double answ = Math.log(operand)/Math.log(base);\n if (answ == Math.ceil(answ)) {\n return (int)answ;\n }\n else {\n return (int)answ+1;\n }\n }","public PetAttributeValueHistory() {\n\t\tsuper(\"pet_attribute_value_history\", com.petpace.db.jooq.Rigel.RIGEL);\n\t}","@Override\n\tpublic OnlineRegression copyNew() {\n\t\tBayesianLinearRegression copy = new BayesianLinearRegression(dimension, this.prioriMeans, prioriPrecision);\n\t\tcopy.weights = this.weights.copyNew();\n\t\tcopy.covariance = this.covariance.copyNew();\n\t\tcopy.b = this.b.copyNew();\n\t\tcopy.numTrainedInstances = this.numTrainedInstances;\n\t\treturn copy;\n\t}","public void updatePurchaseHistory(Cart newPurchases) {\n for (Map.Entry<Integer, ShoppingItem> newItem : newPurchases.getItems().entrySet()) {\n purchaseHistory.put(newItem.getKey(), newItem.getValue());\n }\n }","private void setDataLineChart() {\n\t\t\n\t\tchartLine.setTitle(\"Evolution du Solde\");\n\t\tchartLine.getData().clear();\n\t\t\n\t\tXYChart.Series series = new XYChart.Series();\n\t\tseries.getData().clear();\n\t\tseries.setName(\"Evolution du solde\");\n\t\t\n\t\tdouble solde = bal.getAmount();\n\t\tint currentYear = Calendar.getInstance().get(Calendar.YEAR);\n\t\tint currentMonth = Calendar.getInstance().get(Calendar.MONTH);\n\t\tint currentDay = Calendar.getInstance().get(Calendar.DAY_OF_MONTH);\n\t\t\n\t\t\n\t\t// Create a calendar object and set year and month\n\t\tCalendar mycal = new GregorianCalendar(currentYear, currentMonth,\n\t\t\t\tcurrentDay);\n\t\t\n\t\t// Get the number of days in that month\n\t\tint daysInMonth = mycal.getActualMaximum(Calendar.DAY_OF_MONTH);\n\t\t\n\t\tif (!bal.getTransactions().isEmpty()) {\n\t\t\tfor (IOTransactionLogic transaction : bal.getTransactions()\n\t\t\t\t\t.get(currentYear)[currentMonth]) {\n\t\t\t\tsolde -= transaction.getAmount();\n\t\t\t}\n\t\t}\n\t\t\n\t\tfor (int i = 0; i < currentDay; ++i) {\n\t\t\tif (!bal.getTransactions().isEmpty()) {\n\t\t\t\tfor (IOTransactionLogic transaction : bal.getTransactions()\n\t\t\t\t\t\t.get(currentYear)[currentMonth]) {\n\t\t\t\t\tjava.sql.Date dat = transaction.getDate();\n\t\t\t\t\tCalendar cal = Calendar.getInstance();\n\t\t\t\t\tcal.setTime(dat);\n\t\t\t\t\tif (cal.get(Calendar.DAY_OF_MONTH) - 1 == i) {\n\t\t\t\t\t\tsolde += transaction.getAmount();\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\tseries.getData()\n\t\t\t\t\t.add(new XYChart.Data(String.valueOf(i + 1), solde));\n\t\t}\n\t\t\n\t\tchartLine.getData().addAll(series);\n\t\tchartLine.setLegendVisible(false);\n\t}","public void setSalesLog(List<Sale> salesLogToSet) {\n salesLog = salesLogToSet;\n }","public void updateLineChart()\r\n {\r\n hoursLoggedSeries = new XYChart.Series<>();\r\n hoursLoggedSeries.setName(Integer.toString(LocalDate.now().getYear()));\r\n lineChart.getData().clear();\r\n \r\n try{\r\n populateSeriesFromDB();\r\n }\r\n catch(SQLException e)\r\n {\r\n System.err.println(e.getMessage());\r\n }\r\n lineChart.getData().addAll(hoursLoggedSeries);\r\n }","public void setLog(LogService log) {\n\tthis.log = log;\n }","public List<cn.zyj.dbexporter.jooq.db_mall.tables.pojos.TOfferGoods> fetchByOldRent(BigDecimal... values) {\n return fetch(TOfferGoods.T_OFFER_GOODS.OLD_RENT, values);\n }","public void NewTrail(float[] positions, float trailLength)\n {\n float distanceBetweenEffects = trailLength / instantiateNumber;\n Log.d(\"--WTF--\",\"tl \" + trailLength + \"dbe \" + distanceBetweenEffects);\n //trail.clear();\n trail.get(0).Set(getWorldCoords(new Vec2(positions[0], positions[1]))); // początek\n\n float currUnusedLength = 0f;\n int effects = 1;\n for (int i = 2; i < positions.length; i=i+2)\n {\n // reszta odl. z poprzednich punktow + dystans miedzy tym pkt a poprzednim\n Vec2 A = new Vec2(positions[i-2],positions[i-1]);\n Vec2 B = new Vec2(positions[i],positions[i+1]);\n float distanceBetweenPoints = GetPointsDistance(A,B);\n currUnusedLength = currUnusedLength + distanceBetweenPoints;\n if(currUnusedLength > distanceBetweenEffects)\n {\n // jest wiekszy od odleglosci miedzy kolejnymi efektami, oznacza to ze\n // juz nie czas na umieszczenie kolejnego efektu\n float d = distanceBetweenPoints - (currUnusedLength-distanceBetweenEffects);\n float Xac = d * (B.X()-A.X())/distanceBetweenPoints;\n float Yac = d * (B.Y()-A.Y())/distanceBetweenPoints;\n\n if(effects < instantiateNumber)trail.get(effects).Set(getWorldCoords(new Vec2(A.X()+Xac, A.Y()+Yac)));\n else break;\n\n effects++;\n currUnusedLength = (currUnusedLength-distanceBetweenEffects);\n }\n }\n if(effects <= instantiateNumber)sqNumber = effects;\n else sqNumber = instantiateNumber;\n showThem = true;\n showBigStar = false;\n }","@Override\n public boolean createSalesCallLog(SalesCallLog salescalllog) {\n salescalllog.setGendate(C_Util_Date.generateDate());\n return in_salescalllogdao.createSalesCallLog(salescalllog);\n }"],"string":"[\n \"public void setHistoryPrice(BigDecimal historyPrice) {\\n this.historyPrice = historyPrice;\\n }\",\n \"public ArrayList<History> getPriceHistory() { return priceHistory; }\",\n \"public BigDecimal getHistoryPrice() {\\n return historyPrice;\\n }\",\n \"public static double sumInLogDomain(double[] logs) {\\n\\t\\tdouble maxLog = logs[0];\\n\\t\\tint idxMax = 0;\\n\\t\\tfor (int i = 1; i < logs.length; i++) {\\n\\t\\t\\tif (maxLog < logs[i]) {\\n\\t\\t\\t\\tmaxLog = logs[i];\\n\\t\\t\\t\\tidxMax = i;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t// now calculate sum of exponent of differences\\n\\t\\tdouble sum = 0;\\n\\t\\tfor (int i = 0; i < logs.length; i++) {\\n\\t\\t\\tif (i == idxMax) {\\n\\t\\t\\t\\tsum++;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tsum += Math.exp(logs[i] - maxLog);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t// and return log of sum\\n\\t\\treturn maxLog + Math.log(sum);\\n\\t}\",\n \"public void setHistoryMarketPrice(BigDecimal historyMarketPrice) {\\n this.historyMarketPrice = historyMarketPrice;\\n }\",\n \"private ArrayList<Float> convertToLog(ArrayList<Float> list){\\n ArrayList<Float> convertedList = new ArrayList<>();\\n for (Float current:list){\\n double temp = Math.log(current);\\n float newValue = (float) temp;\\n convertedList.add(newValue);\\n }\\n return convertedList;\\n\\n }\",\n \"private void updatePortfolioHistory(PortfolioRecord portRecord, List<StockData> stockDataUpdates) {\\n List<DataPoint> newHistory = new ArrayList<>();\\n Map<String, PortfolioRecord.Allocation> portAllocations = portRecord.getAllocations();\\n int numDataPoints = ((HistoricalStockData) stockDataUpdates.get(0)).getHistory().size();\\n double currMoneyInvested = portRecord.getCurrMoneyInvested();\\n\\n for (int i = 0; i < numDataPoints; i++) {\\n LocalDate date = null;\\n double openPortValue = 0;\\n double closePortValue = 0;\\n\\n for (StockData stockData : stockDataUpdates) {\\n HistoricalStockData historicalStockData = (HistoricalStockData) stockData;\\n String ticker = historicalStockData.getTicker();\\n DataPoint dataPoint = historicalStockData.getHistory().get(i);\\n date = dataPoint.getDate();\\n\\n openPortValue += dataPoint.getMarketOpenValue() * portAllocations.get(ticker).getNumShares();\\n closePortValue += dataPoint.getMarketCloseValue() * portAllocations.get(ticker).getNumShares();\\n }\\n\\n newHistory.add(new PortfolioDataPoint(date, openPortValue, closePortValue, currMoneyInvested));\\n }\\n\\n portRecord.addHistory(newHistory);\\n }\",\n \"public double[] LogSlope(double StartFreq, double StopFreq, double StartLevel, double StopLevel)\\r\\n {\\n \\r\\n\\tdouble levelM1 = 0.0;\\r\\n double levelB1 = 0.0;\\r\\n double levelFlag = 0.0;\\r\\n double[] logSLopeCalcValues = new double[7];\\r\\n\\r\\n //calculate M1 value\\r\\n // M1 = (Y2 - Y1) / (X2- X1)\\r\\n levelM1 = (Math.log10(StopLevel) - Math.log10(StartLevel)) / (Math.log10(StopFreq) - Math.log10(StartFreq));\\r\\n\\r\\n //calculate B1 value\\r\\n // B1 = Y2 -(M1 * X2)\\r\\n levelB1 = Math.log10(StopLevel) - (levelM1 * Math.log10(StopFreq));\\r\\n\\r\\n // put the values in the array to return it\\r\\n logSLopeCalcValues[0] = levelM1;\\r\\n logSLopeCalcValues[1] = levelB1;\\r\\n logSLopeCalcValues[2] = StartFreq;\\r\\n logSLopeCalcValues[3] = StopFreq;\\r\\n logSLopeCalcValues[4] = StartLevel;\\r\\n logSLopeCalcValues[5] = StopLevel;\\r\\n logSLopeCalcValues[6] = levelFlag;\\r\\n //return the array with the M1 and B1 values\\r\\n return logSLopeCalcValues;\\r\\n }\",\n \"static double[] normalizeLogP(double[] lnP){\\n double[] p = new double[lnP.length];\\n \\n // find the maximum\\n double maxLnP = lnP[0];\\n for (int i=1 ; i<p.length ; ++i){\\n if (lnP[i] > maxLnP){\\n maxLnP = lnP[i];\\n }\\n }\\n \\n // subtract the maximum and exponentiate\\n // sum is guaranted to be >= 1.0;\\n double sum = 0.0;\\n for (int i=0 ; i<p.length ; ++i){\\n p[i] = Math.exp(lnP[i] - maxLnP);\\n if (!Double.isFinite(p[i])){\\n p[i] = 0.0;\\n }\\n sum = sum + p[i];\\n }\\n \\n // normalize sum to 1\\n for (int i=0 ; i<p.length ; ++i){\\n p[i] = p[i]/sum;\\n }\\n return p;\\n }\",\n \"@SuppressWarnings(\\\"deprecation\\\")\\n\\t@Override\\n public double calculateLogP() {\\n logP = 0.0;\\n // jeffreys Prior!\\n if (jeffreys) {\\n logP += -Math.log(getChainValue(0));\\n }\\n for (int i = 1; i < chainParameter.getDimension(); i++) {\\n final double mean = getChainValue(i - 1);\\n final double x = getChainValue(i);\\n\\n if (useLogNormal) {\\n\\t final double sigma = 1.0 / shape; // shape = precision\\n\\t // convert mean to log space\\n\\t final double M = Math.log(mean) - (0.5 * sigma * sigma);\\n\\t logNormal.setMeanAndStdDev(M, sigma);\\n\\t logP += logNormal.logDensity(x);\\n } else {\\n final double scale = mean / shape;\\n gamma.setBeta(scale);\\n logP += gamma.logDensity(x);\\n }\\n }\\n return logP;\\n }\",\n \"public void setLog(Logger newLog) {\\r\\n\\t\\tm_Log = newLog;\\r\\n\\t}\",\n \"public void setLOG(Logger newLog)\\r\\n\\t{\\r\\n\\t\\tlog = newLog;\\r\\n\\t}\",\n \"@Override\\n public void updateHistory() {\\n List<Integer> allItemIds = determineItemIds();\\n if (allItemIds == null || allItemIds.size() == 0) {\\n Log.i(TAG, \\\"No Item Ids exists to create history data sets.\\\");\\n return;\\n }\\n\\n long processTs = System.currentTimeMillis();\\n long startLastMonth;\\n long endLastMonth;\\n // determine the last month depending from the process timestamp. In the first iteration\\n // the process timestamp is the current timestamp. With the second iteration,\\n startLastMonth = DateHelper.startOfLastMonth(processTs);\\n endLastMonth = DateHelper.endOfLastMonth(processTs);\\n // iterate through all known IDs. This is required because we want to create a history entry\\n // for each item\\n for (int itemId : allItemIds) {\\n updatePriceHistory(itemId, startLastMonth, endLastMonth);\\n }\\n }\",\n \"public BigDecimal getHistoryMarketPrice() {\\n return historyMarketPrice;\\n }\",\n \"@Override\\n\\tpublic CreditrepayplanLog getLogInstance() {\\n\\t\\treturn new CreditrepayplanLog();\\n\\t}\",\n \"public float nextLog ()\\n {\\n // Generate a non-zero uniformly-distributed random value.\\n float u;\\n while ((u = GENERATOR.nextFloat ()) == 0)\\n {\\n // try again if 0\\n }\\n\\n return (float) (-m_fMean * Math.log (u));\\n }\",\n \"public final void log() throws ArithmeticException {\\n\\t\\tif ((mksa&_LOG) != 0) throw new ArithmeticException\\n\\t\\t(\\\"****Unit: log(\\\" + symbol + \\\")\\\") ;\\n\\t\\tvalue = AstroMath.log(value);\\n\\t\\tmksa |= _log;\\n\\t\\tif (symbol != null) \\n\\t\\t\\tsymbol = \\\"[\\\" + symbol + \\\"]\\\";\\t// Enough to indicate log\\n\\t}\",\n \"public LogEntry generateLogEntry() {\\n long time = getTime();\\n int bloodGlucose = getBloodGlucose();\\n double bolus = getBolus();\\n int carbohydrate = getCarbohydrate();\\n return new LogEntry(time, bloodGlucose, bolus, carbohydrate);\\n }\",\n \"public LogEvent newInstance()\\n {\\n return new LogEvent();\\n }\",\n \"public MarketHistoricalState() {\\n\\t\\tthis(MarketHistoricalSnapshot.newBuilder());\\n\\t}\",\n \"public static double [] logarithm (double [][]x){\\n\\t\\tdouble [] log=new double [x.length-1];\\n\\t\\t\\n\\t\\tfor(int i=0; i<x.length-1;i++){\\n\\t\\t\\tdouble[] xk1=x[i+1];\\n\\t\\t\\tdouble[] xk=x[i];\\n\\t\\t\\tlog[i]=Math.log10(Math.max( Math.abs(xk1[0] - xk[0]), Math.abs(xk1[1] - xk[1]) ));\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn log;\\n\\t}\",\n \"@Test\\n public void whenLogarithmicFunctionThenLogarithmicResults() {\\n FunctionMethod functionMethod = new FunctionMethod();\\n List<Double> result = functionMethod.diapason(16, 18, x -> Math.log(x) / Math.log(2.0));\\n List<Double> expected = Arrays.asList(4D, 4.08746284125034D);\\n assertThat(result, is(expected));\\n }\",\n \"public static double log(double a){ \\n // migrated from jWMMG - the origin of the algorithm is not known.\\n if (Double.isNaN(a) || a < 0) {\\n return Double.NaN;\\n } else if (a == Double.POSITIVE_INFINITY) {\\n return Double.POSITIVE_INFINITY;\\n } else if (a == 0) {\\n return Double.NEGATIVE_INFINITY;\\n }\\n \\n long lx;\\n if (a > 1) {\\n lx = (long)(0.75*a); // 3/4*x\\n } else {\\n lx = (long)(0.6666666666666666666666666666666/a); // 2/3/x\\n }\\n \\n int ix;\\n int power;\\n if (lx > Integer.MAX_VALUE) {\\n ix = (int) (lx >> 31);\\n power = 31;\\n } else {\\n ix = (int) lx;\\n power = 0;\\n }\\n \\n while (ix != 0) {\\n ix >>= 1;\\n power++;\\n }\\n \\n double ret;\\n if (a > 1) {\\n ret = lnInternal(a / ((long) 1<<power)) + power * LN_2;\\n } else {\\n ret = lnInternal(a * ((long) 1<<power)) - power * LN_2;\\n }\\n return ret;\\n }\",\n \"private void updatePriceHistory(final int itemId,\\n final long from,\\n final long till) {\\n try {\\n // select all item prices to the given id in the range\\n List<ItemPriceEntity> prices = mDatabaseAccess.itemsDAO().\\n selectItemPricesInRange(itemId, from, till);\\n if (prices != null && prices.size() > 0) {\\n //Log.v(TAG, \\\"Update price history entry for the itemId \\\" + itemId);\\n // creates a history entry from all prices in the time range\\n ItemPriceHistoryEntity history = ItemPriceHistoryEntity.from(itemId, from, prices);\\n // insert the history entry\\n mDatabaseAccess.itemsDAO().insertItemPriceHistory(history);\\n // delete all prices in the time range\\n mDatabaseAccess.itemsDAO().deleteItemPricesInRange(itemId, from, till);\\n Log.v(TAG, \\\"Remaining to delete: \\\" + mDatabaseAccess.itemsDAO()\\n .selectPricesInRange(from, till));\\n } else {\\n //Log.d(TAG, \\\"The history prices for the itemId \\\" + itemId + \\\" are up to date.\\\");\\n }\\n } catch (Exception ex) {\\n Log.e(TAG, \\\"A general failure has occurred while trying to update the price history.\\\",\\n ex);\\n }\\n }\",\n \"public void FindPriceState(ArrayList<Float> prices) {\\n\\t\\t\\n\\t\\tint window_size = 4;\\n\\t\\tfor(int i=0; i<grad.length; i++) {\\n\\t\\t\\t\\n\\t\\t\\tif(window_size <= prices.size()) {\\n\\t\\t\\t\\tLinearRegression.Regression(prices, prices.size() - window_size, prices.size());\\n\\t\\t\\t\\tgrad[i] = (int) (LinearRegression.gradient * 8);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\twindow_size <<= 1;\\n\\t\\t}\\n\\t}\",\n \"public double logZero(double x);\",\n \"public static DataSet getLogData(DataSet aDataSet, boolean doLogX, boolean doLogY)\\n {\\n // Get DataX\\n DataType dataType = aDataSet.getDataType();\\n int pointCount = aDataSet.getPointCount();\\n boolean hasZ = dataType.hasZ();\\n double[] dataX = new double[pointCount];\\n double[] dataY = new double[pointCount];\\n double[] dataZ = hasZ ? new double[pointCount] : null;\\n for (int i=0; i<pointCount; i++) {\\n double valX = aDataSet.getX(i);\\n double valY = aDataSet.getY(i);\\n double valZ = hasZ ? aDataSet.getZ(i) : 0;\\n\\n dataX[i] = doLogX ? ChartViewUtils.log10(valX) : valX;\\n dataY[i] = doLogY ? ChartViewUtils.log10(valY) : valY;\\n if (hasZ)\\n dataZ[i] = valZ;\\n }\\n\\n // Return new DataSet for type and values\\n return DataSet.newDataSetForTypeAndValues(dataType, dataX, dataY, dataZ);\\n }\",\n \"public static double[] logarit(double[] data, double base) {\\n\\t\\tdouble[] result = new double[data.length];\\n\\t\\tfor (int i = 0; i < data.length; i++) {\\n\\t\\t\\tif (base == Math.E)\\n\\t\\t\\t\\tresult[i] = Math.log(data[i]);\\n\\t\\t\\telse if (base == 10)\\n\\t\\t\\t\\tresult[i] = Math.log10(data[i]);\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn result;\\n\\t}\",\n \"public HistoryAuction(String name, ArrayList<Product> products, ArrayList<String> participants) {\\n super(name, products, participants);\\n priceHistory = new ArrayList<>(products.size());\\n }\",\n \"private double logSumExp(double x[]) {\\n double maxx = Double.NEGATIVE_INFINITY;\\n for (double d : x) {\\n if (d > maxx) { maxx = d; }\\n }\\n double sum = 0.0;\\n for (double d : x) {\\n sum += Math.exp(d-maxx);\\n }\\n return maxx + Math.log(sum);\\n }\",\n \"private void log(Complex[] F) {\\r\\n\\r\\n\\t\\tF[0].setReal(Math.log10(1 + F[0].getReal()));\\r\\n\\t\\tmaX = F[0].getReal();\\r\\n\\r\\n\\t\\tmiN = F[0].getReal();\\r\\n\\r\\n\\t\\tfor (int i = 1; i < F.length; i++) {\\r\\n\\t\\t\\tF[i].setReal(Math.log10(1 + F[i].getReal()));\\r\\n\\t\\t\\tif (F[i].getReal() > maX) {\\r\\n\\t\\t\\t\\tmaX = F[i].getReal();\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tif (F[i].getReal() < miN) {\\r\\n\\t\\t\\t\\tmiN = F[i].getReal();\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t} \\r\\n\\r\\n\\t}\",\n \"public static double genExp(double a) {\\r\\n\\t\\tdouble x = 1 - generator.nextDouble();\\r\\n\\t\\tdouble exp = -1 * Math.log(x) * a;\\r\\n\\t\\treturn exp;\\r\\n\\r\\n\\t}\",\n \"@Test\\n public void whenInvokeThenReturnsLogarithmValues() {\\n Funcs funcs = new Funcs();\\n\\n List<Double> expected = Arrays.asList(0D, 0.301D, 0.477D);\\n List<Double> result = funcs.range(1, 3,\\n (pStart) -> {\\n double resultValue = Math.log10(pStart);\\n resultValue = Math.rint(resultValue * 1000) / 1000;\\n return resultValue;\\n });\\n\\n assertThat(result, is(expected));\\n }\",\n \"public SpeedAlertsHistory() {\\n this(DSL.name(\\\"speed_alerts_history\\\"), null);\\n }\",\n \"protected Log getLog()\\n/* */ {\\n/* 59 */ return log;\\n/* */ }\",\n \"@Test\\n public void testAbsEqual() { \\n assertTrue(!Double.isNaN(sLog.fromReal(Double.POSITIVE_INFINITY)));\\n assertTrue(Double.isNaN(sLog.fromReal(Double.NEGATIVE_INFINITY)));\\n {\\n double v1 = sLog.fromReal(3);\\n double v2 = sLog.fromReal(-3);\\n double sum = sLog.plus(v1, v2);\\n System.out.printf(\\\"%0#16x\\\\n\\\", Double.doubleToRawLongBits(sum));\\n assertEquals(0l | Double.doubleToRawLongBits(Double.NEGATIVE_INFINITY), Double.doubleToRawLongBits(sum));\\n assertFalse(Double.isNaN(sum));\\n assertFalse(Double.isNaN(sLog.toReal(sum)));\\n }\\n {\\n double v1 = sLog.fromReal(-3);\\n double v2 = sLog.fromReal(3);\\n double sum = sLog.plus(v1, v2);\\n System.out.printf(\\\"%0#16x\\\\n\\\", Double.doubleToRawLongBits(sum));\\n assertEquals(1l | Double.doubleToRawLongBits(Double.NEGATIVE_INFINITY), Double.doubleToRawLongBits(sum));\\n assertTrue(Double.isNaN(sum));\\n assertFalse(Double.isNaN(sLog.toReal(sum)));\\n }\\n }\",\n \"public BigDecimal getPriceStdOld();\",\n \"public static double CalcLevel_Log(double SlopeStart, double SlopeStop,double FreqPoint)\\r\\n {\\n double levelLog = 0.0;\\r\\n double tempY = 0.0;\\r\\n\\r\\n tempY = SlopeStart * (Math.log10(FreqPoint)) + SlopeStop;\\r\\n levelLog = (Math.pow(10, tempY));\\r\\n\\r\\n return levelLog;\\r\\n }\",\n \"public BigDecimal getPriceListOld();\",\n \"private void updatePriceStats(double newPrice) {\\n this.currentPrice = newPrice;\\n this.currentAvgPrice = Double.parseDouble(decimalFormat.format(computeSMA(newPrice, currentAvgPrice, priceHistory)));\\n this.priceChangePCT = Double.parseDouble(decimalFormat.format(computeDifferentialPCT(newPrice, currentAvgPrice)));\\n }\",\n \"public SensorLog(Date when, Float temperature) {\\n this.when = when;\\n this.temperature = temperature;\\n }\",\n \"public static double logarit(double value, double base) {\\n\\t\\tif (base == Math.E)\\n\\t\\t\\treturn Math.log(value);\\n\\t\\telse if (base == 10)\\n\\t\\t\\treturn Math.log10(value);\\n\\t\\telse\\n\\t\\t\\treturn Double.NaN;\\n\\t\\t\\t\\n\\t}\",\n \"public ProductWarehouseWithHistory(String productName, double capacity, double initialBalance){\\n super(productName, capacity);\\n this.inventoryHistory = new ChangeHistory();\\n this.addToWarehouse(initialBalance);\\n }\",\n \"private double log2(double number){\\n return (Math.log(number) / Math.log(2));\\n }\",\n \"@Override\\r\\n\\tpublic void addLog(Log log) throws RuntimeException {\\n\\t\\tlogMapper.addLog(log);\\r\\n\\t}\",\n \"public Element NewexpandLog(Element func, Ring ring){\\n if (func instanceof F) {\\n F f = (F) func;\\n Element[] NEWARGS = new Element[f.X.length];\\n for (int j = 0; j < NEWARGS.length; j++) NEWARGS[j] = NewexpandLog(f.X[j], ring); \\n Element[] argLog2=null; boolean notTaken=true; int name=0;\\n switch (f.name) {\\n case F.LOG: argLog2=f.X; notTaken=false; name=F.LOG; argLog2[1]=NEWARGS[1]; argLog2[0]=NEWARGS[0];\\n case F.LG: if (notTaken){ argLog2=new Element[2]; \\n argLog2[0]=NumberZ.TEN; argLog2[1]=NEWARGS[0]; notTaken=false; name = F.LG;}\\n case F.LN: if (notTaken){ argLog2=new Element[2]; \\n argLog2[0]=Element.CONSTANT_E; argLog2[1]=NEWARGS[0]; notTaken=false;name = F.LN;} \\n Element osn = argLog2[0];//основание \\n Element argument = argLog2[1];//аргумент;\\n boolean flagAbs = false;\\n if(argument instanceof F) {\\n argument = undressAbs((F) argument, ring);\\n if(argument == null) {\\n argument = argLog2[1];\\n } else {\\n flagAbs = true;\\n }\\n }\\n Element pol = ring.CForm.ElementConvertToPolynom(argument);\\n return toSumOfLogs(pol, osn, name, flagAbs, ring);\\n// if(argument instanceof Polynom){\\n// Polynom p=(Polynom)argument; FactorPol fp=p.factorOfPol_inQ(false, ring);\\n// if(fp.multin.length>1){ Element[] mm= new Element[fp.multin.length];\\n// for (int i = 0; i < fp.multin.length; i++) \\n// mm[i]=(name==F.LOG)? \\n// new F(name, argLog2[0], fp.multin[i]): new F(name, fp.multin[i]) ; \\n// for (int i = 0; i < fp.multin.length; i++) \\n// if(fp.powers[i]>1)\\n// mm[i]=new F(F.MULTIPLY, new NumberZ(fp.powers[i]),mm[i]); \\n// return new F(F.ADD, mm);\\n// } else return (name==F.LOG)? new F(name, argLog2): new F(name, argLog2[1]); \\n// }// end of polynom ----------------------------------------------------------- \\n// Element[] argN=null;\\n// if (name==F.LOG){\\n// if((NEWARGS[1] instanceof F)&& (((F)NEWARGS[1]).name==F.MULTIPLY) ) {F f3=(F)NEWARGS[1];\\n// argN=new Element[f3.X.length]; \\n// for (int i = 0; i < argN.length; i++) argN[i]= new F(name, NEWARGS[0], f3.X[i]);\\n// return new F(F.ADD, argN);}}\\n// else if ((NEWARGS[0] instanceof F)&& (((F)NEWARGS[0]).name==F.MULTIPLY) ) {F f3=(F)NEWARGS[0];\\n// argN=new Element[f3.X.length]; \\n// for (int i = 0; i < argN.length; i++) {\\n// if( (f3.X[i] instanceof F) && \\n// ( (((F)f3.X[i]).name == F.POW) ||(((F)f3.X[i]).name == F.intPOW) ) ) {\\n// argN[i]= new F(F.MULTIPLY, ((F)f3.X[i]).X[1], new F(name, ((F)f3.X[i]).X[0]) );\\n// } else {\\n// argN[i]= new F(name, f3.X[i]);\\n// }\\n// }\\n// return new F(F.ADD, argN);\\n// } else return new F(name, NEWARGS); \\n case F.ID: return NEWARGS[0] ; \\n case F.ADD:\\n Element[] newArg= new Element[NEWARGS.length];\\n Element sum=ring.numberZERO; int j=0;\\n for (int i = 0; i < NEWARGS.length; i++) { \\n if (NEWARGS[i].numbElementType() <= Ring.Polynom){sum = sum.add(NEWARGS[i], ring);\\n } else {newArg[j++] = NEWARGS[i];}\\n } \\n if(!sum.isZero(ring)) {newArg[j++]=sum;}\\n if ((j<NEWARGS.length)||(!sum.isZero(ring))) {if (j==NEWARGS.length) return new F(F.ADD, newArg);\\n Element[] newArg1= new Element[j];\\n System.arraycopy(newArg, 0, newArg1, 0, j); return (j>1)? new F(F.ADD, newArg1):newArg1[0]; \\n }else return new F(F.ADD, newArg);\\n case F.DIVIDE:\\n // Сокращаем дробь.\\n Element el = new F(F.DIVIDE, NEWARGS);\\n el = ring.CForm.ElementConvertToPolynom(el);\\n return ring.CForm.ElementToF(el);\\n case F.intPOW:\\n case F.POW:\\n if((NEWARGS[0] instanceof F)&&(((F)NEWARGS[0]).name==F.MULTIPLY)){\\n Element[] ee1=((F)NEWARGS[0]).X;\\n for (int i = 0; i < ee1.length; i++) {\\n if(ee1[i] instanceof F){\\n F sf=(F)ee1[i];\\n Element pow1= ((sf.name==F.intPOW)||(sf.name==F.POW))? NEWARGS[1].multiply(sf.X[1],ring):NEWARGS[1];\\n ee1[i]=((sf.name==F.intPOW)||(sf.name==F.POW))? new F(sf.name, sf.X[0], pow1):\\n new F(f.name, sf, pow1);\\n }else ee1[i]= new F(f.name, ee1[i], NEWARGS[1]);\\n }\\n return new F(F.MULTIPLY, ee1);\\n }else return new F(f.name, NEWARGS);\\n \\n case F.ABS: Element ARG=NEWARGS[0]; Element RES=null; \\n if(ARG instanceof F){ F f1=(F)ARG;\\n if ((f1.name==F.POW)||(f1.name==F.intPOW))\\n return new F(f1.name, new F(F.ABS,f1.X[0] ),f1.X[1]);\\n if (f1.name==F.MULTIPLY){\\n Element[] nAr=new Element[f1.X.length];\\n for (int i = 0; i < nAr.length; i++) {\\n if ((f1.X[i] instanceof F)&& \\n ((((F)f1.X[i]).name==F.POW)||(((F)f1.X[i]).name==F.intPOW))){\\n F f2=(F)f1.X[i];\\n nAr[i]= new F(f2.name, new F(F.ABS,f2.X[0]),f2.X[1]);}\\n else nAr[i]= new F(F.ABS, f1.X[i]); }\\n return new F(((F)ARG).name, nAr); \\n }}else return new F(F.ABS, ARG);\\n default:\\n return new F(f.name,NEWARGS);\\n }\\n } \\n if(func instanceof Fraction){\\n if(func.isItNumber()) {\\n return func;\\n }\\n Fraction frac = (Fraction)func;\\n if( ( frac.num instanceof F) ||\\n ( frac.denom instanceof F) ) {\\n Element el = new F(F.DIVIDE, frac.num, frac.denom);\\n return NewexpandLog(el, ring);\\n }\\n return frac.cancel(ring);\\n }\\n return func; // Fname, числа ,полиномы, матрицы и вектора он оставляет без изменений\\n }\",\n \"public String trade_history(String pair, int since) {\\n\\t\\treturn this.apiCall(\\\"trade_history\\\", pair, (\\\"since,\\\" + since), false);\\n\\t}\",\n \"public static final float log(float x) {\\n \\t\\tif (!(x > 0f)) {\\n \\t\\t\\treturn Float.NaN;\\n \\t\\t}\\n \\t\\t//\\n \\t\\tif (x == 1f) {\\n \\t\\t\\treturn 0f;\\n \\t\\t}\\n \\t\\t// Argument of _log must be (0; 1]\\n \\t\\tif (x > 1f) {\\n \\t\\t\\tx = 1 / x;\\n \\t\\t\\treturn -_log(x);\\n \\t\\t}\\n \\t\\t;\\n \\t\\t//\\n \\t\\treturn _log(x);\\n \\t}\",\n \"public Hypergeometric(LogFactorialSerie logFactorial) {\\n this.logFactorial = logFactorial;\\n }\",\n \"void log(Log log);\",\n \"@Override\\r\\n\\tpublic ItemLog createItemLog() {\\n\\t\\treturn new HpLog();\\r\\n\\t}\",\n \"public File newLogFile() {\\n File flog = null;\\n try {\\n this.logFileName = getTimestamp() + \\\".xml\\\";\\n this.pathToLogFile = logFileFolder + logFileName;\\n URL logURL = new URL(this.pathToLogFile);\\n flog = new File(logURL.toURI());\\n if (!flog.exists()) {\\n flog.createNewFile();\\n }\\n } catch (Exception ex) {\\n log.error(\\\"newLogFile :\\\"+ ex.getMessage());\\n } finally{\\n this.fLogFile = flog;\\n return flog;\\n }\\n }\",\n \"public static double QESPRLOG(double val) {\\n\\t\\treturn (8.0 + Math.log10(QESPR(val)))/ 8.0;\\n\\t}\",\n \"public void addLog(Log p) {\\n logs.add(p);\\n }\",\n \"static final float interp_energy(final float prev_e, final float next_e)\\n\\t{\\n\\t\\treturn (float)Math.pow( 10.0, (Math.log10( prev_e ) + Math.log10( next_e )) / 2.0 );\\n\\t}\",\n \"public final EObject ruleNaturalLogarithmFunction() throws RecognitionException {\\r\\n EObject current = null;\\r\\n\\r\\n Token otherlv_1=null;\\r\\n Token otherlv_3=null;\\r\\n EObject lv_operator_0_0 = null;\\r\\n\\r\\n EObject lv_value_2_0 = null;\\r\\n\\r\\n\\r\\n enterRule(); \\r\\n \\r\\n try {\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3594:28: ( ( ( (lv_operator_0_0= ruleNaturalLogarithmOperator ) ) otherlv_1= '(' ( (lv_value_2_0= ruleNumberExpression ) ) otherlv_3= ')' ) )\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3595:1: ( ( (lv_operator_0_0= ruleNaturalLogarithmOperator ) ) otherlv_1= '(' ( (lv_value_2_0= ruleNumberExpression ) ) otherlv_3= ')' )\\r\\n {\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3595:1: ( ( (lv_operator_0_0= ruleNaturalLogarithmOperator ) ) otherlv_1= '(' ( (lv_value_2_0= ruleNumberExpression ) ) otherlv_3= ')' )\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3595:2: ( (lv_operator_0_0= ruleNaturalLogarithmOperator ) ) otherlv_1= '(' ( (lv_value_2_0= ruleNumberExpression ) ) otherlv_3= ')'\\r\\n {\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3595:2: ( (lv_operator_0_0= ruleNaturalLogarithmOperator ) )\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3596:1: (lv_operator_0_0= ruleNaturalLogarithmOperator )\\r\\n {\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3596:1: (lv_operator_0_0= ruleNaturalLogarithmOperator )\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3597:3: lv_operator_0_0= ruleNaturalLogarithmOperator\\r\\n {\\r\\n if ( state.backtracking==0 ) {\\r\\n \\r\\n \\t newCompositeNode(grammarAccess.getNaturalLogarithmFunctionAccess().getOperatorNaturalLogarithmOperatorParserRuleCall_0_0()); \\r\\n \\t \\r\\n }\\r\\n pushFollow(FOLLOW_ruleNaturalLogarithmOperator_in_ruleNaturalLogarithmFunction7653);\\r\\n lv_operator_0_0=ruleNaturalLogarithmOperator();\\r\\n\\r\\n state._fsp--;\\r\\n if (state.failed) return current;\\r\\n if ( state.backtracking==0 ) {\\r\\n\\r\\n \\t if (current==null) {\\r\\n \\t current = createModelElementForParent(grammarAccess.getNaturalLogarithmFunctionRule());\\r\\n \\t }\\r\\n \\t\\tset(\\r\\n \\t\\t\\tcurrent, \\r\\n \\t\\t\\t\\\"operator\\\",\\r\\n \\t\\tlv_operator_0_0, \\r\\n \\t\\t\\\"NaturalLogarithmOperator\\\");\\r\\n \\t afterParserOrEnumRuleCall();\\r\\n \\t \\r\\n }\\r\\n\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n\\r\\n otherlv_1=(Token)match(input,43,FOLLOW_43_in_ruleNaturalLogarithmFunction7665); if (state.failed) return current;\\r\\n if ( state.backtracking==0 ) {\\r\\n\\r\\n \\tnewLeafNode(otherlv_1, grammarAccess.getNaturalLogarithmFunctionAccess().getLeftParenthesisKeyword_1());\\r\\n \\r\\n }\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3617:1: ( (lv_value_2_0= ruleNumberExpression ) )\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3618:1: (lv_value_2_0= ruleNumberExpression )\\r\\n {\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3618:1: (lv_value_2_0= ruleNumberExpression )\\r\\n // ../eu.artist.postmigration.nfrvt.lang.gml/src-gen/eu/artist/postmigration/nfrvt/lang/gml/parser/antlr/internal/InternalGML.g:3619:3: lv_value_2_0= ruleNumberExpression\\r\\n {\\r\\n if ( state.backtracking==0 ) {\\r\\n \\r\\n \\t newCompositeNode(grammarAccess.getNaturalLogarithmFunctionAccess().getValueNumberExpressionParserRuleCall_2_0()); \\r\\n \\t \\r\\n }\\r\\n pushFollow(FOLLOW_ruleNumberExpression_in_ruleNaturalLogarithmFunction7686);\\r\\n lv_value_2_0=ruleNumberExpression();\\r\\n\\r\\n state._fsp--;\\r\\n if (state.failed) return current;\\r\\n if ( state.backtracking==0 ) {\\r\\n\\r\\n \\t if (current==null) {\\r\\n \\t current = createModelElementForParent(grammarAccess.getNaturalLogarithmFunctionRule());\\r\\n \\t }\\r\\n \\t\\tset(\\r\\n \\t\\t\\tcurrent, \\r\\n \\t\\t\\t\\\"value\\\",\\r\\n \\t\\tlv_value_2_0, \\r\\n \\t\\t\\\"NumberExpression\\\");\\r\\n \\t afterParserOrEnumRuleCall();\\r\\n \\t \\r\\n }\\r\\n\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n\\r\\n otherlv_3=(Token)match(input,44,FOLLOW_44_in_ruleNaturalLogarithmFunction7698); if (state.failed) return current;\\r\\n if ( state.backtracking==0 ) {\\r\\n\\r\\n \\tnewLeafNode(otherlv_3, grammarAccess.getNaturalLogarithmFunctionAccess().getRightParenthesisKeyword_3());\\r\\n \\r\\n }\\r\\n\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n\\r\\n if ( state.backtracking==0 ) {\\r\\n leaveRule(); \\r\\n }\\r\\n }\\r\\n \\r\\n catch (RecognitionException re) { \\r\\n recover(input,re); \\r\\n appendSkippedTokens();\\r\\n } \\r\\n finally {\\r\\n }\\r\\n return current;\\r\\n }\",\n \"public double log(double d){\\r\\n\\r\\n\\t\\tif(d == 0){\\r\\n\\t\\t\\treturn 0.0;\\r\\n\\t\\t} else {\\r\\n\\t\\t\\treturn Math.log(d)/Math.log(2);\\r\\n\\t\\t}\\r\\n\\r\\n\\t}\",\n \"public static List<OptionPricing> getPriceHistory(Date startTradeDate, Date endTradeDate, Date expiration, double strike, String callPut) {\\r\\n\\t\\t\\r\\n\\t\\tEntityManagerFactory emf = Persistence.createEntityManagerFactory(\\\"JPAOptionsTrader\\\");\\r\\n\\t\\tEntityManager em = emf.createEntityManager();\\r\\n\\t\\t\\r\\n\\t\\t// Note: table name refers to the Entity Class and is case sensitive\\r\\n\\t\\t// field names are property names in the Entity Class\\r\\n\\t\\tQuery query = em.createQuery(\\\"select opt from \\\" + TradeProperties.SYMBOL_FOR_QUERY + \\\" opt where \\\"\\r\\n\\t\\t\\t\\t+ \\\"opt.trade_date >= :startTradeDate \\\" \\r\\n\\t\\t\\t\\t+ \\\"and opt.trade_date <= :endTradeDate \\\" \\r\\n\\t\\t\\t\\t+ \\\"and opt.expiration=:expiration \\\"\\t\\r\\n\\t\\t\\t\\t+ \\\"and opt.call_put = :call_put \\\"\\r\\n\\t\\t\\t\\t+ \\\"and opt.strike = :strike \\\"\\r\\n\\t\\t\\t\\t+ \\\" order by opt.trade_date\\\");\\r\\n\\t\\t\\r\\n\\t\\tquery.setParameter(\\\"startTradeDate\\\", startTradeDate);\\r\\n\\t\\tquery.setParameter(\\\"endTradeDate\\\", endTradeDate);\\r\\n\\t\\tquery.setParameter(\\\"expiration\\\", expiration);\\r\\n\\t\\tquery.setParameter(\\\"call_put\\\", callPut);\\r\\n\\t\\tquery.setParameter(\\\"strike\\\", strike);\\r\\n\\t\\t\\r\\n\\t\\tquery.setHint(\\\"odb.read-only\\\", \\\"true\\\");\\r\\n\\r\\n\\t\\t@SuppressWarnings(\\\"unchecked\\\")\\r\\n\\t\\tList<OptionPricing> options = query.getResultList();\\r\\n\\t\\t\\r\\n\\t\\tem.close();\\r\\n\\t\\t\\r\\n\\t\\treturn options;\\r\\n\\t}\",\n \"public double logResult(double f) {\\n double r;\\n try {\\n r = 20 * Math.log10(result(f));\\n } catch (Exception e) {\\n r = -100;\\n }\\n if (Double.isInfinite(r) || Double.isNaN(r)) {\\n r = -100;\\n }\\n return r;\\n }\",\n \"public History(ArrayList<Order> orders) {\\n this.orders = orders;\\n }\",\n \"static private float _log(float x) {\\n \\t\\tif (!(x > 0f)) {\\n \\t\\t\\treturn Float.NaN;\\n \\t\\t}\\n \\t\\t//\\n \\t\\tfloat f = 0f;\\n \\t\\t//\\n \\t\\tint appendix = 0;\\n \\t\\twhile ((x > 0f) && (x <= 1f)) {\\n \\t\\t\\tx *= 2f;\\n \\t\\t\\tappendix++;\\n \\t\\t}\\n \\t\\t//\\n \\t\\tx /= 2f;\\n \\t\\tappendix--;\\n \\t\\t//\\n \\t\\tfloat y1 = x - 1f;\\n \\t\\tfloat y2 = x + 1f;\\n \\t\\tfloat y = y1 / y2;\\n \\t\\t//\\n \\t\\tfloat k = y;\\n \\t\\ty2 = k * y;\\n \\t\\t//\\n \\t\\tfor (long i = 1; i < 10; i += 2) {\\n \\t\\t\\tf += k / i;\\n \\t\\t\\tk *= y2;\\n \\t\\t}\\n \\t\\t//\\n \\t\\tf *= 2f;\\n \\t\\tfor (int i = 0; i < appendix; i++) {\\n \\t\\t\\tf += FLOAT_LOGFDIV2;\\n \\t\\t}\\n \\t\\t//\\n //\\t\\tlogger.info(\\\"exit _log\\\" + f);\\n \\t\\treturn f;\\n \\t}\",\n \"private void generateTrades() {\\n\\t\\tSystem.out.println(\\\"\\\\nGenerating fake trade records for stock: \\\" + stockSymbol);\\n Random rd = new Random();\\n \\n for (int i = 0; i < 5; i++) {\\n // Create arbitrary timestamp and TradeRecord data \\n \\t// within the last 20 minutes\\n \\n int minutes = rd.nextInt(21);\\n int sharesQty = rd.nextInt(100) + 1;\\n boolean isBuy = rd.nextBoolean();\\n double price = (rd.nextDouble() + 0.1) * 100;\\n // truncate price to 2 decimal places\\n String tmpPrc = String.format(Locale.ENGLISH, \\\"%.2f\\\", price);\\n price = Double.parseDouble(tmpPrc);\\n TradeRecordType indicator = isBuy ? TradeRecordType.BUY : TradeRecordType.SELL;\\n \\n Calendar cal = Calendar.getInstance();\\n cal.add(Calendar.MINUTE, -minutes);\\n Date date = cal.getTime();\\n \\n // Create and save fake trade record\\n TradeRecord rec = new TradeRecord(date, sharesQty, indicator, price);\\n System.out.println(rec);\\n this.stockTrades.put(date, rec);\\n }\\n }\",\n \"public void setPriceStdOld (BigDecimal PriceStdOld);\",\n \"void stockPriceChanged(Stock stock, double oldValue, double newValue);\",\n \"@Override\\n public List<Member> apply(List<Member> expression) {\\n Double a, x;\\n try {\\n a = ((Number) expression.get(getPositionFirstOperand())).getDoubleValue();\\n x = ((Number) expression.get(getPositionSecondOperand())).getDoubleValue();\\n } catch (ClassCastException e) {\\n throw new InputException(\\n expression.get(position).getValue() + \\\" \\\" +\\n expression.get(getPositionFirstOperand()).getValue() + \\\" \\\" +\\n expression.get(getPositionSecondOperand()).getValue() + \\\" \\\");\\n }\\n\\n if ((x > 0d) && (a > 0d) && (a != 1d)) {\\n Double log10X = Math.log10(x);\\n Double log10A = Math.log10(a);\\n Double result = log10X / log10A;\\n\\n List<Member> resultList = new LinkedList<>(expression);\\n resultList.remove(getPositionSecondOperand());\\n resultList.remove(getPositionFirstOperand());\\n resultList.remove(position);\\n resultList.add(position, new Number(result.toString()));\\n\\n return resultList;\\n } else {\\n throw new ArithmeticException(\\\"Logarithm log(b,x) must meet next conditions: b!=1, b>0, x>0.\\\");\\n }\\n\\n }\",\n \"private TicketLog createLog() throws SQLException {\\n\\t\\t\\t\\t\\treturn new TicketLog(rs.getLong(1), rs.getString(2),\\n\\t\\t\\t\\t\\t\\t\\trs.getLong(3),\\n\\t\\t\\t\\t\\t\\t\\tTicketLog.Action.valueOf(rs.getString(4)),\\n\\t\\t\\t\\t\\t\\t\\trs.getInt(5));\\n\\t\\t\\t\\t}\",\n \"public LastSale(String id, Turn when, int price) {\\n setId(id);\\n this.when = when;\\n this.price = price;\\n }\",\n \"private ListSeries getTodayData() {\\n\\t\\tListSeries dollarEarning = new ListSeries();\\n\\t\\tdouble number = 0;\\n\\t\\tnumber = controler.getTodaysTransactionSummary();\\n\\t\\tdollarEarning.addData(number);\\n\\t\\t\\n\\t\\treturn dollarEarning;\\n\\t}\",\n \"public SolarlogData5Min cloneSolarlogData5Min(SolarlogData5Min orig, Instant recordTimestamp, int recordVersion) {\\n SolarlogData5Min newSolarlog = new SolarlogData5Min();\\n newSolarlog.setHeatpump(orig.getHeatpump());\\n newSolarlog.setInverters(orig.getInverters());\\n newSolarlog.setPhases(orig.getPhases());\\n newSolarlog.setEAcInverterDay(orig.getEAcInverterDay());\\n newSolarlog.setPAcInverter(orig.getPAcInverter());\\n newSolarlog.setPAcUsage(orig.getPAcUsage());\\n newSolarlog.setRecordState(orig.getRecordState());\\n newSolarlog.setWeather(orig.getWeather());\\n\\n String recordTimeStampString = SolarlogData5Min.getISOStringFromInstant(recordTimestamp);\\n\\n newSolarlog.setRecordTimestamp(recordTimeStampString);\\n newSolarlog.setRecordVersion(recordVersion);\\n\\n Instant updateTimestamp = newSolarlog.getRecordTimestampAsInstant().plusSeconds(90);\\n String updateTimestampString = SolarlogData5Min.getISOStringFromInstant(updateTimestamp);\\n newSolarlog.setUpdateTimestamp(updateTimestampString);\\n\\n return newSolarlog;\\n }\",\n \"public void computeLogLikelihood(double[] betas, Instances instances) {\\n //Basic implementation done in the prior class.\\n super.computelogLikelihood(betas, instances);\\n }\",\n \"public static void main(String[] args) {\\n Account anushaAccount = new Account(456123, \\\"SBIK1014\\\", 100);\\n Account priyaAccount = new Account(789456, \\\"SBIK1014\\\", 200);\\n Account dhanuAccount = new Account(951753, \\\"SBIK1014\\\", 300);\\n\\n ArrayList<Account> accounts = new ArrayList<>();\\n\\n accounts.add(anushaAccount);\\n accounts.add(priyaAccount);\\n accounts.add(dhanuAccount);\\n\\n TransactionHistory anuTranHist1 = new TransactionHistory(\\\"8-Jun-2018\\\", \\\"savaings\\\", 25000);\\n TransactionHistory anuTranHist2 = new TransactionHistory(\\\"28-nov-2018\\\", \\\"current\\\", 50000);\\n TransactionHistory anuTranHist3 = new TransactionHistory(\\\"15-Mar-2018\\\", \\\"savaings\\\", 5000);\\n\\n TransactionHistory priyaTranHist1 = new TransactionHistory(\\\"8-Jun-2018\\\", \\\"savaings\\\", 25000);\\n TransactionHistory priyaTranHist2 = new TransactionHistory(\\\"28-nov-2018\\\", \\\"current\\\", 50000);\\n TransactionHistory priyaTranHist3 = new TransactionHistory(\\\"15-Mar-2018\\\", \\\"savaings\\\", 5000);\\n\\n TransactionHistory dhanuTranHist1 = new TransactionHistory(\\\"8-Jun-2018\\\", \\\"savaings\\\", 25000);\\n TransactionHistory dhanuTranHist2 = new TransactionHistory(\\\"28-nov-2018\\\", \\\"current\\\", 50000);\\n TransactionHistory dhanuTranHist3 = new TransactionHistory(\\\"15-Mar-2018\\\", \\\"savaings\\\", 5000);\\n\\n\\n ArrayList<TransactionHistory> anuTransactionHistory = new ArrayList<>();\\n anuTransactionHistory.add(anuTranHist1);\\n anuTransactionHistory.add(anuTranHist2);\\n anuTransactionHistory.add(anuTranHist3);\\n\\n ArrayList<TransactionHistory> priyaTransactionHistory = new ArrayList<>();\\n anuTransactionHistory.add(priyaTranHist1);\\n anuTransactionHistory.add(priyaTranHist2);\\n anuTransactionHistory.add(priyaTranHist3);\\n\\n ArrayList<TransactionHistory> dhanuTransactionHistory = new ArrayList<>();\\n anuTransactionHistory.add(dhanuTranHist1);\\n anuTransactionHistory.add(dhanuTranHist2);\\n anuTransactionHistory.add(dhanuTranHist3);\\n\\n //useless code\\n //you have already instantiated arraylist above and filled it with objects.. you can use that\\n // List<Account> accountDetails=Arrays.asList(anushaAccount,priyaAccount,dhanuAccount);\\n //List<TransactionHistory> transHistory=Arrays.asList(anuTranHist1,anuTranHist2,anuTranHist3);\\n\\n Customer anusha = new Customer(\\\"anusha\\\", 26, \\\"28-mar-92\\\", anushaAccount, anuTransactionHistory);\\n Customer priya = new Customer(\\\"priya\\\", 22, \\\"15-oct-96\\\", priyaAccount, priyaTransactionHistory);\\n Customer dhanu = new Customer(\\\"dhanu\\\", 32, \\\"05-jan-82\\\", dhanuAccount, dhanuTransactionHistory);\\n\\n anusha.setAccount(anushaAccount);\\n priya.setAccount(priyaAccount);\\n dhanu.setAccount(dhanuAccount);\\n\\n List<Customer> customerDetails = Arrays.asList(anusha, priya, dhanu);\\n\\n\\n Bank bank = new Bank(\\\"SBI\\\", \\\"BNGLR\\\", customerDetails);\\n\\n// use the utitlity class here and output the customer object with the highest amount\\n // check if your logic is running fine and fix this by morning. I have to finish work, and will leave it to you.\\n Customer highestAmountCustomer = BankUtility.getCustomerWithHighestDeposit(bank);\\n\\n System.out.println(\\\"Customer with highest bank balance is \\\"+ highestAmountCustomer.getName() + \\\" with value \\\"+highestAmountCustomer.getAccount().getAmount());\\n }\",\n \"public void setPriceListOld (BigDecimal PriceListOld);\",\n \"@Override\\r\\n\\tpublic double evaluate(double input1) throws ArithmeticException \\r\\n\\t{\\n\\t\\treturn Math.log(input1);\\r\\n\\t}\",\n \"public static double[][] logarit(double[][] data, double base) {\\n\\t\\tdouble[][] result = new double[data.length][];\\n\\t\\t\\n\\t\\tfor (int i = 0; i < data.length; i++) {\\n\\t\\t\\tresult[i] = logarit(data[i], base);\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn result;\\n\\t}\",\n \"public void setHistoryRebate(BigDecimal historyRebate) {\\n this.historyRebate = historyRebate;\\n }\",\n \"private static double log2(double x) {\\n return Math.log(x) / Math.log(2);\\n }\",\n \"private static void writeToFilePriceHistory() throws IOException {\\n FileWriter write = new FileWriter(path3, append);\\n PrintWriter print_line = new PrintWriter(write);\\n ArrayList<Product> stock = Inventory.getStock();\\n for (int i = 0; i < stock.size(); i++) {\\n Product product = (Product) stock.get(i);\\n int UPC = product.getUpc();\\n ArrayList<String> priceH = product.price.getArrayPriceHistory();\\n for (int j = 0; j < priceH.size(); j++) {\\n String price = priceH.get(j);\\n textLine = UPC + \\\" \\\" + price;\\n print_line.printf(\\\"%s\\\" + \\\"%n\\\", textLine);\\n }\\n }\\n print_line.close();\\n }\",\n \"@Override\\n public ProductBacklog createNewBacklog(ProductBacklog productBacklog) {\\n return backlogRepository.save(productBacklog);\\n }\",\n \"public void setLog(XLog log) {\\n\\n\\t}\",\n \"public T elementLog() {\\n T c = createLike();\\n ops.elementLog(mat, c.mat);\\n return c;\\n }\",\n \"public static float log(float base, float arg) {\\n return (nlog(arg)) / nlog(base);\\n }\",\n \"@Test\\n public void testLogP() {\\n System.out.println(\\\"logP\\\");\\n NegativeBinomialDistribution instance = new NegativeBinomialDistribution(3, 0.3);\\n instance.rand();\\n assertEquals(Math.log(0.027), instance.logp(0), 1E-7);\\n assertEquals(Math.log(0.0567), instance.logp(1), 1E-7);\\n assertEquals(Math.log(0.07938), instance.logp(2), 1E-7);\\n assertEquals(Math.log(0.09261), instance.logp(3), 1E-7);\\n assertEquals(Math.log(0.05033709), instance.logp(10), 1E-7);\\n }\",\n \"private void naturalLog()\\n\\t{\\n\\t\\tif(Fun == null)\\n\\t\\t{\\n\\t\\t\\tsetLeftValue();\\n\\t\\t\\tresult = calc.naturalLog ( );\\n\\t\\t\\tupdateText();\\n\\t\\t}\\n\\t}\",\n \"private TraceableFloat mutateGene(TraceableFloat a, float new_a_value, EvolutionState state){\\n\\n if(a.getValue() == new_a_value)//return the original gene if the value was not altered\\n return a;\\n\\n double influence_factor_mut = Math.abs(a.getValue() - new_a_value) / (Math.abs(a.getValue()) + Math.abs(a.getValue() - new_a_value));\\n double influence_factor_old = 1 - influence_factor_mut;\\n\\n List<TraceTuple> a_traceVector = new ArrayList<TraceTuple>();\\n\\n int i = 0; //index for this traceVector\\n\\n //check if we accumulate and the first element is already the mutation\\n if(state.getAccumulateMutatioImpact() && a.getTraceVector().get(0).getTraceID() == state.getMutationCounter()){//if we accumulate mutation and the gene is influenced by mutation, accumulate that\\n double oldScaledMutImpact = a.getTraceVector().get(0).getImpact() * influence_factor_old;\\n a_traceVector.add(new TraceTuple(state.getMutationCounter(), influence_factor_mut + oldScaledMutImpact));\\n i++; //increment i, as the first element of the traceList from a is already added\\n } else { //add the new mutation ID if we don't accumulate or there is no mutation present bevore\\n a_traceVector.add(new TraceTuple(state.getMutationCounter(), influence_factor_mut));\\n }\\n\\n while(i < a.getTraceVector().size()){ //this iterates over the traceVector of this individual\\n int currentAID = a.getTraceVector().get(i).getTraceID();\\n double currentAImpact = a.getTraceVector().get(i).getImpact();\\n\\n a_traceVector.add(new TraceTuple(currentAID, influence_factor_old * currentAImpact));\\n i++;\\n }\\n\\n return new TraceableFloat(new_a_value, a_traceVector);\\n }\",\n \"Stream<DataPoint> getHistoryData(Symbol symbol, LocalDateTime startTime, LocalDateTime endTime, int numberOfPoints);\",\n \"public void createNewStock(Stock stock) throws DuplicateEntry, InvalidDateEntry {\\n\\t\\tif (!validateDate(stock.getDate())) {\\n\\t\\t\\tlog.error(\\\"Date entered is a future date for:\\\" + stock.getStock() + \\\"date given : \\\" + stock.getDate());\\n\\t\\t\\tthrow new InvalidDateEntry(\\n\\t\\t\\t\\t\\t\\\"Date entered is a future date for: \\\" + stock.getStock() + \\\" date given : \\\" + stock.getDate());\\n\\t\\t}\\n\\n\\t\\tif (checkForDuplicates(new StockId(stock.getStock(), stock.getDate()))) {\\n\\t\\t\\tlog.error(\\\"Duplcate Record for :\\\" + stock.getStock() + \\\"on \\\" + stock.getDate());\\n\\t\\t\\tthrow new DuplicateEntry(\\\"Duplcate Record for : \\\" + stock.getStock() + \\\" on \\\" + stock.getDate());\\n\\t\\t}\\n\\n\\t\\tstockRepo.save(stock);\\n\\n\\t}\",\n \"public void setOriginalPrice(Float OriginalPrice) {\\n this.OriginalPrice = OriginalPrice;\\n }\",\n \"public List<Sale> getSalesLog() {\\n return salesLog;\\n }\",\n \"@Override\\n\\tpublic int addLog(Log l) {\\n\\t\\tString sql = \\\"INSERT INTO t_log(fTime,fTel,fType,fDocld,fResult)values(?,?,?,?,?)\\\";\\n\\t\\tint result = 0;\\n\\t\\tObject[] params = {l.getfTime(),l.getfTel(),l.getfType(),l.getfDocld(),l.getfResult()};\\n\\t\\ttry {\\n\\t\\t\\tresult = qr.update(sql,params);\\n\\t\\t} catch (SQLException e) {\\n\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\treturn result;\\n\\t}\",\n \"private static int getlog(int operand, int base) {\\n double answ = Math.log(operand)/Math.log(base);\\n if (answ == Math.ceil(answ)) {\\n return (int)answ;\\n }\\n else {\\n return (int)answ+1;\\n }\\n }\",\n \"public PetAttributeValueHistory() {\\n\\t\\tsuper(\\\"pet_attribute_value_history\\\", com.petpace.db.jooq.Rigel.RIGEL);\\n\\t}\",\n \"@Override\\n\\tpublic OnlineRegression copyNew() {\\n\\t\\tBayesianLinearRegression copy = new BayesianLinearRegression(dimension, this.prioriMeans, prioriPrecision);\\n\\t\\tcopy.weights = this.weights.copyNew();\\n\\t\\tcopy.covariance = this.covariance.copyNew();\\n\\t\\tcopy.b = this.b.copyNew();\\n\\t\\tcopy.numTrainedInstances = this.numTrainedInstances;\\n\\t\\treturn copy;\\n\\t}\",\n \"public void updatePurchaseHistory(Cart newPurchases) {\\n for (Map.Entry<Integer, ShoppingItem> newItem : newPurchases.getItems().entrySet()) {\\n purchaseHistory.put(newItem.getKey(), newItem.getValue());\\n }\\n }\",\n \"private void setDataLineChart() {\\n\\t\\t\\n\\t\\tchartLine.setTitle(\\\"Evolution du Solde\\\");\\n\\t\\tchartLine.getData().clear();\\n\\t\\t\\n\\t\\tXYChart.Series series = new XYChart.Series();\\n\\t\\tseries.getData().clear();\\n\\t\\tseries.setName(\\\"Evolution du solde\\\");\\n\\t\\t\\n\\t\\tdouble solde = bal.getAmount();\\n\\t\\tint currentYear = Calendar.getInstance().get(Calendar.YEAR);\\n\\t\\tint currentMonth = Calendar.getInstance().get(Calendar.MONTH);\\n\\t\\tint currentDay = Calendar.getInstance().get(Calendar.DAY_OF_MONTH);\\n\\t\\t\\n\\t\\t\\n\\t\\t// Create a calendar object and set year and month\\n\\t\\tCalendar mycal = new GregorianCalendar(currentYear, currentMonth,\\n\\t\\t\\t\\tcurrentDay);\\n\\t\\t\\n\\t\\t// Get the number of days in that month\\n\\t\\tint daysInMonth = mycal.getActualMaximum(Calendar.DAY_OF_MONTH);\\n\\t\\t\\n\\t\\tif (!bal.getTransactions().isEmpty()) {\\n\\t\\t\\tfor (IOTransactionLogic transaction : bal.getTransactions()\\n\\t\\t\\t\\t\\t.get(currentYear)[currentMonth]) {\\n\\t\\t\\t\\tsolde -= transaction.getAmount();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\tfor (int i = 0; i < currentDay; ++i) {\\n\\t\\t\\tif (!bal.getTransactions().isEmpty()) {\\n\\t\\t\\t\\tfor (IOTransactionLogic transaction : bal.getTransactions()\\n\\t\\t\\t\\t\\t\\t.get(currentYear)[currentMonth]) {\\n\\t\\t\\t\\t\\tjava.sql.Date dat = transaction.getDate();\\n\\t\\t\\t\\t\\tCalendar cal = Calendar.getInstance();\\n\\t\\t\\t\\t\\tcal.setTime(dat);\\n\\t\\t\\t\\t\\tif (cal.get(Calendar.DAY_OF_MONTH) - 1 == i) {\\n\\t\\t\\t\\t\\t\\tsolde += transaction.getAmount();\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tseries.getData()\\n\\t\\t\\t\\t\\t.add(new XYChart.Data(String.valueOf(i + 1), solde));\\n\\t\\t}\\n\\t\\t\\n\\t\\tchartLine.getData().addAll(series);\\n\\t\\tchartLine.setLegendVisible(false);\\n\\t}\",\n \"public void setSalesLog(List<Sale> salesLogToSet) {\\n salesLog = salesLogToSet;\\n }\",\n \"public void updateLineChart()\\r\\n {\\r\\n hoursLoggedSeries = new XYChart.Series<>();\\r\\n hoursLoggedSeries.setName(Integer.toString(LocalDate.now().getYear()));\\r\\n lineChart.getData().clear();\\r\\n \\r\\n try{\\r\\n populateSeriesFromDB();\\r\\n }\\r\\n catch(SQLException e)\\r\\n {\\r\\n System.err.println(e.getMessage());\\r\\n }\\r\\n lineChart.getData().addAll(hoursLoggedSeries);\\r\\n }\",\n \"public void setLog(LogService log) {\\n\\tthis.log = log;\\n }\",\n \"public List<cn.zyj.dbexporter.jooq.db_mall.tables.pojos.TOfferGoods> fetchByOldRent(BigDecimal... values) {\\n return fetch(TOfferGoods.T_OFFER_GOODS.OLD_RENT, values);\\n }\",\n \"public void NewTrail(float[] positions, float trailLength)\\n {\\n float distanceBetweenEffects = trailLength / instantiateNumber;\\n Log.d(\\\"--WTF--\\\",\\\"tl \\\" + trailLength + \\\"dbe \\\" + distanceBetweenEffects);\\n //trail.clear();\\n trail.get(0).Set(getWorldCoords(new Vec2(positions[0], positions[1]))); // początek\\n\\n float currUnusedLength = 0f;\\n int effects = 1;\\n for (int i = 2; i < positions.length; i=i+2)\\n {\\n // reszta odl. z poprzednich punktow + dystans miedzy tym pkt a poprzednim\\n Vec2 A = new Vec2(positions[i-2],positions[i-1]);\\n Vec2 B = new Vec2(positions[i],positions[i+1]);\\n float distanceBetweenPoints = GetPointsDistance(A,B);\\n currUnusedLength = currUnusedLength + distanceBetweenPoints;\\n if(currUnusedLength > distanceBetweenEffects)\\n {\\n // jest wiekszy od odleglosci miedzy kolejnymi efektami, oznacza to ze\\n // juz nie czas na umieszczenie kolejnego efektu\\n float d = distanceBetweenPoints - (currUnusedLength-distanceBetweenEffects);\\n float Xac = d * (B.X()-A.X())/distanceBetweenPoints;\\n float Yac = d * (B.Y()-A.Y())/distanceBetweenPoints;\\n\\n if(effects < instantiateNumber)trail.get(effects).Set(getWorldCoords(new Vec2(A.X()+Xac, A.Y()+Yac)));\\n else break;\\n\\n effects++;\\n currUnusedLength = (currUnusedLength-distanceBetweenEffects);\\n }\\n }\\n if(effects <= instantiateNumber)sqNumber = effects;\\n else sqNumber = instantiateNumber;\\n showThem = true;\\n showBigStar = false;\\n }\",\n \"@Override\\n public boolean createSalesCallLog(SalesCallLog salescalllog) {\\n salescalllog.setGendate(C_Util_Date.generateDate());\\n return in_salescalllogdao.createSalesCallLog(salescalllog);\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.56701726","0.53513","0.534101","0.5295705","0.5287103","0.5275227","0.5236696","0.52333117","0.5215374","0.5162313","0.5141226","0.5138028","0.512332","0.5031366","0.4976179","0.49663207","0.4875819","0.48569795","0.4848211","0.48299852","0.48278138","0.48210165","0.4819103","0.48168245","0.4813026","0.47987938","0.47860873","0.47813514","0.47509846","0.47380722","0.47320268","0.472756","0.47121578","0.46609366","0.46540397","0.46514523","0.46453947","0.46430165","0.4619309","0.46151003","0.46022996","0.45839682","0.45815694","0.45711932","0.45706585","0.4565281","0.4536392","0.45360374","0.45348907","0.45345917","0.4527821","0.45261267","0.45139208","0.45111337","0.45087636","0.45022473","0.4498136","0.4497419","0.44965515","0.44964558","0.44964418","0.44894883","0.4485887","0.44838566","0.44823092","0.4482012","0.4468335","0.4466537","0.44656956","0.44556686","0.44299692","0.44273925","0.44261274","0.4424523","0.442381","0.4423596","0.44201365","0.44169965","0.4411606","0.44055432","0.4402052","0.4400455","0.43970218","0.4394012","0.43902987","0.43893328","0.43804538","0.43718305","0.4357737","0.43443948","0.43426645","0.43410692","0.43389803","0.43380573","0.4335043","0.43332213","0.43308774","0.4327975","0.4315148","0.4311264"],"string":"[\n \"0.56701726\",\n \"0.53513\",\n \"0.534101\",\n \"0.5295705\",\n \"0.5287103\",\n \"0.5275227\",\n \"0.5236696\",\n \"0.52333117\",\n \"0.5215374\",\n \"0.5162313\",\n \"0.5141226\",\n \"0.5138028\",\n \"0.512332\",\n \"0.5031366\",\n \"0.4976179\",\n \"0.49663207\",\n \"0.4875819\",\n \"0.48569795\",\n \"0.4848211\",\n \"0.48299852\",\n \"0.48278138\",\n \"0.48210165\",\n \"0.4819103\",\n \"0.48168245\",\n \"0.4813026\",\n \"0.47987938\",\n \"0.47860873\",\n \"0.47813514\",\n \"0.47509846\",\n \"0.47380722\",\n \"0.47320268\",\n \"0.472756\",\n \"0.47121578\",\n \"0.46609366\",\n \"0.46540397\",\n \"0.46514523\",\n \"0.46453947\",\n \"0.46430165\",\n \"0.4619309\",\n \"0.46151003\",\n \"0.46022996\",\n \"0.45839682\",\n \"0.45815694\",\n \"0.45711932\",\n \"0.45706585\",\n \"0.4565281\",\n \"0.4536392\",\n \"0.45360374\",\n \"0.45348907\",\n \"0.45345917\",\n \"0.4527821\",\n \"0.45261267\",\n \"0.45139208\",\n \"0.45111337\",\n \"0.45087636\",\n \"0.45022473\",\n \"0.4498136\",\n \"0.4497419\",\n \"0.44965515\",\n \"0.44964558\",\n \"0.44964418\",\n \"0.44894883\",\n \"0.4485887\",\n \"0.44838566\",\n \"0.44823092\",\n \"0.4482012\",\n \"0.4468335\",\n \"0.4466537\",\n \"0.44656956\",\n \"0.44556686\",\n \"0.44299692\",\n \"0.44273925\",\n \"0.44261274\",\n \"0.4424523\",\n \"0.442381\",\n \"0.4423596\",\n \"0.44201365\",\n \"0.44169965\",\n \"0.4411606\",\n \"0.44055432\",\n \"0.4402052\",\n \"0.4400455\",\n \"0.43970218\",\n \"0.4394012\",\n \"0.43902987\",\n \"0.43893328\",\n \"0.43804538\",\n \"0.43718305\",\n \"0.4357737\",\n \"0.43443948\",\n \"0.43426645\",\n \"0.43410692\",\n \"0.43389803\",\n \"0.43380573\",\n \"0.4335043\",\n \"0.43332213\",\n \"0.43308774\",\n \"0.4327975\",\n \"0.4315148\",\n \"0.4311264\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.681108"},"document_rank":{"kind":"string","value":"0"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":197,"numItemsPerPage":100,"numTotalItems":136513,"offset":19700,"length":100}},"jwt":"eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc3OTc4MTI5OSwic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1qYXZhLXYxIiwiZXhwIjoxNzc5Nzg0ODk5LCJpc3MiOiJodHRwczovL2h1Z2dpbmdmYWNlLmNvIn0.3WypWKkXz7hcU3RFHF72jl4XykQlG8AuqAd60Xc9B42TdaYnOXtW-sBLNrMbLApz_jzKT9-btlzSUmgLlDMdCg","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":136513,"numBytesParquet":1558040430}]},"discussionsStats":{"closed":0,"open":1,"total":1},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
query stringlengths 7 33.1k | document stringlengths 7 335k | metadata dict | negatives listlengths 3 101 | negative_scores listlengths 3 101 | document_score stringlengths 3 10 | document_rank stringclasses 102
values |
|---|---|---|---|---|---|---|
Based on a set of Cases and an attribute, finds the threshold for that attribute that gives the highest information gain | public static double chooseAttributeThreshold(ArrayList<Case> cases, Attribute attribute) {
double currentBestThreshold = -1;
double currentBestRemainder = 0;
double [] values = new double[cases.size()];
for (int i = 0 ; i < cases.size() ; i++) {
// Create an array of the appropriate field values from each ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static Attribute chooseAttribute(ArrayList<Case> cases) {\n\t\tAttribute currentBestAttribute = null;\n\t\tdouble currentBestRemainder = 0;\n\n\t\t// k\n\t\tdouble [] kValues = new double[cases.size()];\n\t\tfor (int i = 0 ; i < cases.size() ; i++) {\n\t\t\t// Extract the correct fields from each case into ... | [
"0.72548085",
"0.6264076",
"0.61963856",
"0.6016736",
"0.5972371",
"0.56298",
"0.561494",
"0.5529074",
"0.5507053",
"0.5499641",
"0.54834104",
"0.5357695",
"0.53454554",
"0.5342307",
"0.53385824",
"0.53352314",
"0.5314181",
"0.5283418",
"0.52368045",
"0.51958144",
"0.5178072"... | 0.7710242 | 0 |
Get exchange rates for a chosen date | ExchangeRateDto getByDate(ExchangeRateDateFilter filter); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@RequestMapping(method = RequestMethod.GET, value = \"/{date}/{baseCurrency}/{targetCurrency}\")\n public ResponseEntity exchangeRate(@PathVariable String date, @PathVariable String baseCurrency,\n @PathVariable String targetCurrency) throws ParseException {\n Utils.... | [
"0.670901",
"0.66611046",
"0.661874",
"0.6571793",
"0.64523846",
"0.63864213",
"0.6371617",
"0.63185865",
"0.6265709",
"0.6241024",
"0.61921465",
"0.61071706",
"0.6098057",
"0.607627",
"0.60678995",
"0.60479325",
"0.60120547",
"0.59594345",
"0.5951822",
"0.59094614",
"0.58942... | 0.7005935 | 0 |
Save new or update existing Exchange rate | ExchangeRate saveOrUpdate(ExchangeRate rate); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"Rate save(Rate u);",
"@Override\r\n\tpublic void updateRate(Rates rates) {\n\t\tsession.saveOrUpdate(rates);\r\n\t\tsession.beginTransaction().commit();\r\n\t}",
"public String insertExchangeRate() {\r\n\t\t\r\n\t\tString loginId = com.omp.admin.common.util.CommonUtil.getLoginId(this.req.getSession());\r\n\t\t... | [
"0.71780324",
"0.7034827",
"0.6937259",
"0.67453885",
"0.6640454",
"0.6253453",
"0.62503815",
"0.6170907",
"0.6116238",
"0.608065",
"0.60754144",
"0.60376626",
"0.6029138",
"0.5998314",
"0.5938972",
"0.59371847",
"0.5909589",
"0.58947307",
"0.58462286",
"0.58367085",
"0.58312... | 0.8633588 | 0 |
Get a number of exchange rates in the database | Long count(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String exchangeRateList() {\r\n\t\tif (exRateS == null) {\r\n\t\t\texRateS = new ExchangeRate();\r\n\t\t\t\r\n\t\t}\r\n\t\t\r\n\t\texchangeRateList = service.exchangeRateList(exRateS);\r\n\t\ttotalCount = ((PagenateList) exchangeRateList).getTotalCount();\r\n\t\t\r\n\t\treturn SUCCESS;\r\n\t}",
"public Bi... | [
"0.69949263",
"0.6134581",
"0.6130202",
"0.6098027",
"0.606782",
"0.6066144",
"0.6020523",
"0.5926318",
"0.5894676",
"0.5891734",
"0.5865387",
"0.5831769",
"0.5827154",
"0.5799114",
"0.5782624",
"0.5775316",
"0.576573",
"0.576542",
"0.5734899",
"0.5689593",
"0.5687801",
"0.... | 0.0 | -1 |
Write parsed data from European Central Bank to the database. | void writeEcbRatesToDb(EcbEnvelope envelope); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public final /* synthetic */ void saveToDb() {\n DruidPooledConnection druidPooledConnection;\n DruidPooledConnection druidPooledConnection2;\n block18: {\n block17: {\n StringBuilder stringBuilder;\n PreparedStatement preparedStatement;\n ... | [
"0.58369553",
"0.5667128",
"0.5651794",
"0.53085643",
"0.52812356",
"0.52638364",
"0.5262393",
"0.5256071",
"0.5229187",
"0.5204775",
"0.5194696",
"0.51594424",
"0.5067997",
"0.5025022",
"0.50159353",
"0.50154775",
"0.49943158",
"0.49706522",
"0.49585888",
"0.49437332",
"0.49... | 0.5795777 | 1 |
Get exchange rates by history filter | List<ExchangeRateDto> getHistoryRates(ExchangeRateHistoryFilter filter); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"ExchangeRateDto getByDate(ExchangeRateDateFilter filter);",
"ResponseEntity<List<TOURatesHistory>> getTouRatesHistory();",
"ResponseEntity<List<GenericRatesHistory>> getGenericRatesHistory();",
"ResponseEntity<List<TieredRatesHistory>> getTieredRatesHistory();",
"hr.client.appuser.CouponCenter.ExchangeReco... | [
"0.6821366",
"0.6791315",
"0.6624119",
"0.6512298",
"0.59810275",
"0.59669584",
"0.5935001",
"0.59272176",
"0.59143925",
"0.5909815",
"0.5839644",
"0.5833811",
"0.5819845",
"0.57868147",
"0.5755736",
"0.5700508",
"0.5686016",
"0.5639501",
"0.5630625",
"0.56195927",
"0.5566618... | 0.8785819 | 0 |
Create an image file name | private File createImageFile() throws IOException {
String timeStamp = new SimpleDateFormat("yyyyMMdd_HHmmss", Locale.CHINA).format(new Date());
String imageFileName = "JPEG_" + timeStamp + "_";
//.getExternalFilesDir()方法可以获取到 SDCard/Android/data/你的应用的包名/files/ 目录，一般放一些长时间保存的数据
File stor... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private File createImageFileName() throws IOException {\n String timestamp = new SimpleDateFormat(\"yyyyMMdd_HHmmss\").format(new Date());\n //there are two types of SimpleDateFormat and Date()\n String prepend = \"JPEG_\" + timestamp + \"_\";\n File imageFile = File.createTempFile(prep... | [
"0.7782615",
"0.7292824",
"0.6992056",
"0.6992056",
"0.6943564",
"0.6911284",
"0.68938434",
"0.686538",
"0.68592805",
"0.68590325",
"0.68580544",
"0.68443614",
"0.67711073",
"0.67546785",
"0.6751638",
"0.6737171",
"0.6726197",
"0.67170936",
"0.67068315",
"0.6706409",
"0.66945... | 0.0 | -1 |
If we get a bot or a nonmember, dip | @SubscribeEvent
public void onMessageReceived(GuildMessageReceivedEvent event) {
if (event.getAuthor().isBot() || event.getMember() == null) return;
// Logic
GuildUserModel guildUser = taules.dataManager.getGuildUserModel(event.getGuild().getIdLong(), event.getMember());
DB.save(new ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public boolean isBot(){\n return false;\n }",
"@Override\r\n public void notLeader() {\n }",
"private void handleResponseIsOwner(Friends friends) {\n final Gson gson = new Gson();\n //Toast.makeText(_context, response.toString(), Toast.LENGTH_SHORT).show();... | [
"0.63491136",
"0.5835367",
"0.5813251",
"0.57965785",
"0.57769364",
"0.5752415",
"0.56810725",
"0.56580514",
"0.56538266",
"0.56486607",
"0.56268054",
"0.5599753",
"0.5533214",
"0.54890174",
"0.545979",
"0.5446187",
"0.54095787",
"0.5403112",
"0.53950495",
"0.5378014",
"0.537... | 0.0 | -1 |
If we get a bot, dip | @SubscribeEvent
public void onVoiceJoined(GuildVoiceJoinEvent event) {
if (event.getMember().getUser().isBot()) return;
// Logic
GuildUserModel guildUser = taules.dataManager.getGuildUserModel(event.getGuild().getIdLong(), event.getMember());
DB.save(new CallLogModel(guildUser.getId(... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public boolean isBot(){\n return false;\n }",
"public boolean isBot() {\n//\t\treturn this.getUserIO().checkConnection();\n\t\treturn false;\n\t}",
"public boolean getBot() {\n return bot;\n }",
"public boolean isBot() {\n \t\treturn (type == PLAYER_BOT);\n \t}",
"@Override\n public ... | [
"0.7136602",
"0.66668403",
"0.653307",
"0.65222085",
"0.6414009",
"0.61275935",
"0.6111768",
"0.59100777",
"0.5899304",
"0.5890466",
"0.5775956",
"0.5766269",
"0.56567067",
"0.5656332",
"0.56318533",
"0.56133467",
"0.55975384",
"0.5567454",
"0.555606",
"0.5522783",
"0.549617"... | 0.0 | -1 |
If we get a bot, dip | @SubscribeEvent
public void onVoiceLeft(GuildVoiceLeaveEvent event) {
if (event.getMember().getUser().isBot()) return;
// Logic
GuildUserModel guildUser = taules.dataManager.getGuildUserModel(event.getGuild().getIdLong(), event.getMember());
List<CallLogModel> callLogs = new QCallLog... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public boolean isBot(){\n return false;\n }",
"public boolean isBot() {\n//\t\treturn this.getUserIO().checkConnection();\n\t\treturn false;\n\t}",
"public boolean getBot() {\n return bot;\n }",
"public boolean isBot() {\n \t\treturn (type == PLAYER_BOT);\n \t}",
"@Override\n public ... | [
"0.7136602",
"0.66668403",
"0.653307",
"0.65222085",
"0.6414009",
"0.61275935",
"0.6111768",
"0.59100777",
"0.5899304",
"0.5890466",
"0.5775956",
"0.5766269",
"0.56567067",
"0.5656332",
"0.56318533",
"0.56133467",
"0.55975384",
"0.5567454",
"0.555606",
"0.5522783",
"0.549617"... | 0.0 | -1 |
to be included in the next payload SecretServer sends | public SecretServer(boolean simMode) {
this.simMode = simMode;
secretsfn = "secrets.txt";
hashfn = "hashes.txt";
pubkeysfn = "publickeys.txt";
privkeysfn = "privatekeys.txt";
validusersfn = "validusers.txt";
validUsers = ComMethods.getValidUsers();
configureKeys();
userNum = -1;
myNonce = null;
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private byte[] preparePayload(byte[] message) {\n\t\treturn ComMethods.preparePayload(\"SecretServer\".getBytes(), message, counter, currentSessionKey, simMode);\n\t}",
"private byte[] handleView() {\n\t\tString secret = ComMethods.getValueFor(currentUser, secretsfn);\n\t\tif (secret.equals(\"\")) {\n\t\t\tretur... | [
"0.6827598",
"0.6190681",
"0.59548855",
"0.592717",
"0.59256625",
"0.5797804",
"0.57361996",
"0.56002754",
"0.55888635",
"0.55541223",
"0.5550802",
"0.55310625",
"0.552865",
"0.5498099",
"0.54952693",
"0.5449761",
"0.5424309",
"0.54165417",
"0.5404438",
"0.5402851",
"0.537532... | 0.0 | -1 |
Interprets input payloads and returns appropriate responses 'partTwo' differentiates messages for auth. part 1 and auth. part 2 | public byte[] getMessage(byte[] payload, boolean partTwo) {
ComMethods.report("SecretServer received payload and will now process it.", simMode);
byte[] resp = new byte[0];
if (activeSession) {
// Extract message from active session payload
byte[] message = processPayload(payload);
switch (getSessionCom... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private byte[] handleAuthPt2(byte[] payload) { \n\t\tbyte[] message = ComMethods.decryptRSA(payload, my_n, my_d);\n\t\tComMethods.report(\"SecretServer has decrypted the User's message using SecretServer's private RSA key.\", simMode);\n\t\t\n\t\tif (!Arrays.equals(Arrays.copyOf(message, myNonce.length), myNonce))... | [
"0.65013623",
"0.62273544",
"0.54584926",
"0.52568525",
"0.52176505",
"0.5108147",
"0.50562215",
"0.49881497",
"0.49756855",
"0.49504998",
"0.4922494",
"0.48442864",
"0.4842459",
"0.47618484",
"0.47577137",
"0.47312438",
"0.47232386",
"0.4702486",
"0.47001067",
"0.4645752",
"... | 0.6658454 | 0 |
Determines the type of command in the encrypted payload This method is called during a session, after the authentication protocol | private String getSessionCommand(byte[] message) {
// Various accepted options
byte[] pw = "password:".getBytes();
byte[] view = "view".getBytes();
byte[] update = "update:".getBytes();
byte[] delete = "delete".getBytes();
String resp;
if (Arrays.equals(Arrays.copyOf(message, pw.length), pw) && !passVeri... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String getCommandType() {\n return commandType;\n }",
"private byte[] handleAuthPt2(byte[] payload) { \n\t\tbyte[] message = ComMethods.decryptRSA(payload, my_n, my_d);\n\t\tComMethods.report(\"SecretServer has decrypted the User's message using SecretServer's private RSA key.\", simMode);\n\t\t... | [
"0.53337264",
"0.525629",
"0.52288985",
"0.520663",
"0.5197447",
"0.51185507",
"0.50729465",
"0.5006362",
"0.49181762",
"0.48829457",
"0.48745",
"0.48393625",
"0.4823772",
"0.4820301",
"0.48127788",
"0.47824505",
"0.47613105",
"0.47230417",
"0.47093818",
"0.46976644",
"0.4691... | 0.5752967 | 0 |
Handles password verif., returns "accepted" or "rejected" | private byte[] handlePassword(byte[] message) {
byte[] password = Arrays.copyOfRange(message, "password:".getBytes().length, message.length);
// Check hash of password against user's value in the digest text file
passVerified = checkHash(password, ComMethods.getValueFor(currentUser, hashfn));
// Respond to us... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"boolean getPasswordValid();",
"private void validatePassword() {\n mPassWordValidator.processResult(\n mPassWordValidator.apply(binding.registerPassword.getText().toString()),\n this::verifyAuthWithServer,\n result -> binding.registerPassword.setError(\"Please ... | [
"0.7063271",
"0.6969024",
"0.69282115",
"0.68776935",
"0.68776935",
"0.68776935",
"0.68776935",
"0.68776935",
"0.68776935",
"0.68776935",
"0.68776935",
"0.6834036",
"0.673624",
"0.6709019",
"0.66799647",
"0.6679823",
"0.6675946",
"0.6648876",
"0.66206765",
"0.6576792",
"0.652... | 0.7001681 | 1 |
Handles view requests, returns the deciphered secret | private byte[] handleView() {
String secret = ComMethods.getValueFor(currentUser, secretsfn);
if (secret.equals("")) {
return "error".getBytes();
} else {
byte[] secretInBytes = DatatypeConverter.parseBase64Binary(secret);
ComMethods.report("SecretServer has retrieved "+currentUser+"'s secret and will n... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String requestView() { \n\t\tbyte[] userMessage = \"view\".getBytes();\n\t\tbyte[] srvrResponse = sendServerCoded(userMessage);\n\t\t\n\t\tif (!checkError(srvrResponse)) {\n\t\t\tbyte[] encryptedSecret = srvrResponse;\n\t\t\tbyte[] decryptedSecret = SecureMethods.decryptRSA(encryptedSecret, my_n, my_d, simM... | [
"0.66294324",
"0.61125475",
"0.6093254",
"0.59644616",
"0.594161",
"0.5838609",
"0.58312947",
"0.580048",
"0.5666834",
"0.5579912",
"0.5552612",
"0.55482566",
"0.5492081",
"0.5428448",
"0.54057837",
"0.5396968",
"0.53733647",
"0.5262724",
"0.52485555",
"0.52413416",
"0.517926... | 0.7773103 | 0 |
Handles update requests, returns "secretupdated" when done | private byte[] handleUpdate(byte[] message) {
byte[] newSecretBytes = Arrays.copyOfRange(message, "update:".getBytes().length, message.length);
/*
System.out.println("THIS IS A TEST:");
System.out.println("newSecretBytes:");
ComMethods.charByChar(newSecretBytes, true);
System.out.println("newSecretBytes, rev... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void receivedUpdateFromServer();",
"@Override\r\n\tpublic void doUpdate(HttpServletRequest req, HttpServletResponse res) throws ServletException, IOException {\n\t\t\r\n\t}",
"public void doPost(HttpServletRequest request, HttpServletResponse response)\r\n throws ServletException, IOException {... | [
"0.6422012",
"0.6155503",
"0.61474085",
"0.60197407",
"0.6018589",
"0.59517586",
"0.5934363",
"0.58612555",
"0.5849229",
"0.5838154",
"0.58267915",
"0.57246995",
"0.5661651",
"0.56489956",
"0.5640602",
"0.5613496",
"0.56081945",
"0.56081945",
"0.55824786",
"0.55351573",
"0.54... | 0.68871886 | 0 |
Handles delete requests, returns "secretdeleted" when done | private byte[] handleDelete() {
boolean success = replaceSecretWith(currentUser, "");
if (success) {
ComMethods.report("SecretServer has deleted "+currentUser+"'s secret.", simMode);
return preparePayload("secretdeleted".getBytes());
} else {
ComMethods.report("SecretServer has FAILED to delete "+curren... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void delete(SecretIdentifier secretIdentifier);",
"public boolean deleteSecret() {\n\t\tbyte[] userMessage = \"delete\".getBytes();\n\t\treturn sendAndCheckResp(userMessage, \"secretdeleted\", \"writingfailure\");\n\t}",
"@Override\n\tpublic void doDelete(HttpRequest request, AbstractHttpResponse response)\n\t... | [
"0.71510565",
"0.7043786",
"0.6854052",
"0.6759992",
"0.6594905",
"0.6519541",
"0.64781517",
"0.6473071",
"0.6463454",
"0.64301807",
"0.6428172",
"0.63991106",
"0.63818",
"0.63378745",
"0.63358855",
"0.6333542",
"0.6325902",
"0.63176596",
"0.6310722",
"0.62977505",
"0.6277089... | 0.8339784 | 0 |
Handles second transaction of Bilateral Auth. Protocol Given encrypted first message, identifies User, verifies proper formatting of message, generates a nonce, and sends the User a payload in response | private byte[] handleAuthPt1(byte[] payload) {
boolean userIdentified = false;
byte[] supposedUser = null;
//
System.out.println("payload received by SecretServer:");
ComMethods.charByChar(payload,true);
//
userNum = -1;
while (userNum < validUsers.length-1 && !userIdentified) {
userNum++;
supposedU... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private byte[] handleAuthPt2(byte[] payload) { \n\t\tbyte[] message = ComMethods.decryptRSA(payload, my_n, my_d);\n\t\tComMethods.report(\"SecretServer has decrypted the User's message using SecretServer's private RSA key.\", simMode);\n\t\t\n\t\tif (!Arrays.equals(Arrays.copyOf(message, myNonce.length), myNonce))... | [
"0.7057637",
"0.55897385",
"0.5484281",
"0.5354397",
"0.53484404",
"0.5212885",
"0.5170457",
"0.5116293",
"0.5080429",
"0.5041548",
"0.5012382",
"0.50091034",
"0.49850976",
"0.49397478",
"0.49281457",
"0.48945698",
"0.48843488",
"0.48729706",
"0.48687753",
"0.48681888",
"0.48... | 0.65908694 | 1 |
Handles fourth transaction of Bilateral Auth. Protocol Verifies Server's nonce, stores value of sessionKey, and sends a response to the User | private byte[] handleAuthPt2(byte[] payload) {
byte[] message = ComMethods.decryptRSA(payload, my_n, my_d);
ComMethods.report("SecretServer has decrypted the User's message using SecretServer's private RSA key.", simMode);
if (!Arrays.equals(Arrays.copyOf(message, myNonce.length), myNonce)) {
ComMethods.re... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public void onSuccess(int statusCode, Header[] headers, byte[] server_response) {\n try {\n String response = String.valueOf(new String(server_response, \"UTF-8\"));\n Log.e(TAG, \"response l... | [
"0.5550596",
"0.5548175",
"0.55179745",
"0.5413751",
"0.5372323",
"0.53552336",
"0.5328489",
"0.5327486",
"0.5319623",
"0.5299686",
"0.5277595",
"0.526636",
"0.52416605",
"0.52338386",
"0.52145314",
"0.52114844",
"0.5202655",
"0.5155323",
"0.51240534",
"0.51226735",
"0.510398... | 0.6118821 | 0 |
Determines whether a password matches up to the hashed value (digest), using knowledge of the hash function and of times the hash was stretched | private boolean checkHash(byte[] password, String hashValue) {
int hashReps = 1000; // stretch the hash this many times
String hashAlgorithm = "MD5";
String endValue = new String();
try {
MessageDigest md = MessageDigest.getInstance(hashAlgorithm);
byte[] value = password;
for (int i=0; i<hashReps; i+... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"boolean comparePasswordHash(String password, String salt, String destinationHash);",
"private boolean givenPassword_whenHashing_thenVerifying(String hashPwd, String inputPwd){\n MessageDigest md;\r\n\t\ttry {\r\n\t\t\tmd = MessageDigest.getInstance(\"MD5\");\r\n\t\t\t//Add password bytes to digest\r\n\t ... | [
"0.7972828",
"0.71898115",
"0.711146",
"0.70647234",
"0.7018148",
"0.69811094",
"0.6931412",
"0.68383604",
"0.67881715",
"0.6746574",
"0.6663387",
"0.66140294",
"0.6607884",
"0.65194285",
"0.64699805",
"0.6436773",
"0.6432171",
"0.63749945",
"0.6372761",
"0.63263154",
"0.6285... | 0.77490366 | 1 |
Writes to file, replacing user's existing secret with newSecret Returns true if new file was created properly with appropriate contents | private boolean replaceSecretWith(String user, String newSecret) {
//
System.out.println();
System.out.println();
System.out.println(); System.out.println("xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx");
System.out.println("xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx");
System.out.println... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public boolean updateSecret(String newSecret) {\n\t\tbyte[] encryptedNewSecret = SecureMethods.encryptRSA(newSecret.getBytes(), my_n, BigInteger.valueOf(my_e), simMode);\n\t\tbyte[] userMessage = ComMethods.concatByteArrs(\"update:\".getBytes(), encryptedNewSecret);\n\t\treturn sendAndCheckResp(userMessage, \"secr... | [
"0.62896043",
"0.6116801",
"0.59739006",
"0.5660835",
"0.56108266",
"0.5585368",
"0.53901476",
"0.5378266",
"0.5273952",
"0.52615196",
"0.5202774",
"0.5192693",
"0.5189641",
"0.51043284",
"0.5092826",
"0.50829846",
"0.5065624",
"0.50420254",
"0.50307983",
"0.50177747",
"0.498... | 0.82464045 | 0 |
Takes "regular" payload and spits out enclosed message | private byte[] processPayload(byte[] message) {
return ComMethods.processPayload(currentUser.getBytes(), message, counter-1, currentSessionKey, simMode);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"Payload getMsg();",
"@Override\n\tpublic void onMessage(Message message) {\n\t\tSystem.out.println(message.getBody());\n\t}",
"ByteBuf getMessageBody();",
"String getRawMessage();",
"public Payload.Inbound getInboundPayload();",
"com.google.protobuf.ByteString getPayload();",
"com.google.protobuf.ByteS... | [
"0.6586933",
"0.6399293",
"0.6237906",
"0.61751986",
"0.6139362",
"0.60157734",
"0.60157734",
"0.5973494",
"0.5963404",
"0.59203666",
"0.58461493",
"0.58461493",
"0.5781827",
"0.57644826",
"0.57334036",
"0.5728465",
"0.57017064",
"0.56962985",
"0.56436884",
"0.5634102",
"0.56... | 0.5807027 | 12 |
Takes message and packages it in "regular" payload for active session | private byte[] preparePayload(byte[] message) {
return ComMethods.preparePayload("SecretServer".getBytes(), message, counter, currentSessionKey, simMode);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private byte[] processPayload(byte[] message) {\n\t\treturn ComMethods.processPayload(currentUser.getBytes(), message, counter-1, currentSessionKey, simMode);\n\t}",
"@Override\n\tpublic void processMessage(byte[] message) {\n\t}",
"private MessageType processMessage(MessageType message) {\n\t\tJSONObject mess... | [
"0.71300435",
"0.625361",
"0.61412394",
"0.6129184",
"0.60249114",
"0.6018496",
"0.5986007",
"0.5959021",
"0.5942473",
"0.59386796",
"0.5924417",
"0.5921824",
"0.5905807",
"0.5855329",
"0.58498526",
"0.5819122",
"0.5797749",
"0.5783391",
"0.57650614",
"0.57558537",
"0.5711852... | 0.6458071 | 1 |
Sets the private and public keys of the SecretServer, which are found by parsing the relevant text files for public keys and private keys of registered users of this secret server storage service. Also sets up arrays of public keys for all registered users for efficient use and access. NOTE: This is a simulation. In a ... | private final void configureKeys() {
// SecretServer's public key
String line = ComMethods.getValueFor("SecretServer", pubkeysfn);
int x = line.indexOf(',');
my_n = new BigInteger(line.substring(0,x));
my_e = new Integer(line.substring(x+1,line.length()));
// SecretServer's private key
line = ComMethods.... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void saveKeys(String publicKeyFileLocation, String secretKeyFileLocation) throws IOException;",
"void saveKeys(PGPPublicKeyRingCollection publicKeyRings, PGPSecretKeyRingCollection secretKeyRings, String publicKeyFileLocation, String secretKeyFileLocation) throws IOException;",
"public void generateKeys() {\r\... | [
"0.637339",
"0.61673313",
"0.58530116",
"0.5729534",
"0.56682044",
"0.56051296",
"0.551871",
"0.540143",
"0.5302357",
"0.5286174",
"0.5171144",
"0.5149069",
"0.5134642",
"0.51292247",
"0.50906354",
"0.505494",
"0.50299513",
"0.50271255",
"0.50235903",
"0.50053984",
"0.4982447... | 0.8104909 | 0 |
test that the activity is not null when the app is run | @Test
public void testMessagesActivityNotNull(){
assertNotNull(messagesActivity);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void assertActivityNotNull() {\n if (mActivity == null) {\n mActivity = getActivity();\n assertNotNull(mActivity);\n }\n }",
"@Test\n public void homeActivityShouldNotBeNull() {\n assertThat(homeActivity).isNotNull();\n }",
"@SmallTest\n public voi... | [
"0.73421663",
"0.6984727",
"0.6595826",
"0.65064174",
"0.6395282",
"0.63772863",
"0.63509053",
"0.6189581",
"0.612426",
"0.61046994",
"0.6084199",
"0.606066",
"0.6024518",
"0.6011281",
"0.5976326",
"0.59431905",
"0.5931404",
"0.5901374",
"0.58905846",
"0.58736426",
"0.5836776... | 0.62046975 | 7 |
test that the chat log is not null when the activity is run | @Test
public void testChatLogExists(){
ListView chatLog = messagesActivity.listOfMessages;
assertNotNull(chatLog);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void testMessagesActivityNotNull(){\n assertNotNull(messagesActivity);\n }",
"private static void initLog() {\n LogManager.mCallback = null;\n if (SettingsManager.getDefaultState().debugToasts) {\n Toast.makeText(mContext, mContext.getClass().getCanonicalName(... | [
"0.6225576",
"0.607543",
"0.5960574",
"0.58594406",
"0.5779297",
"0.57732767",
"0.5733419",
"0.571225",
"0.5682787",
"0.5581243",
"0.5563072",
"0.55358815",
"0.55330664",
"0.54734427",
"0.5470338",
"0.54596174",
"0.5457026",
"0.5454132",
"0.5387484",
"0.53862983",
"0.5383679"... | 0.7202147 | 0 |
test that the chat log uses the correct listview | @Test
public void testChatLogHasCorrectID(){
ListView chatLog = messagesActivity.listOfMessages;
int ID = chatLog.getId();
int expectedID = R.id.list_of_messages;
assertEquals(ID, expectedID);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void testChatLogExists(){\n ListView chatLog = messagesActivity.listOfMessages;\n assertNotNull(chatLog);\n }",
"private void updateListViewLogWindow()\n {\n listViewMessageItems.clear();\n\n for(int i =0;i<= printResult.size() - 1;i++)\n {\n ... | [
"0.7480722",
"0.6898925",
"0.66269666",
"0.6547329",
"0.6534979",
"0.64708257",
"0.6429307",
"0.6391523",
"0.6385242",
"0.6360404",
"0.62911665",
"0.62334806",
"0.6225931",
"0.6215363",
"0.6211945",
"0.62089986",
"0.61857814",
"0.6185008",
"0.6173303",
"0.61665905",
"0.613942... | 0.6676159 | 2 |
test that the send button is not null when the activity is run | @Test
public void testSendButtonExists(){
FloatingActionButton sendButton = messagesActivity.fab;
assertNotNull(sendButton);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void triggerIntentTestButtonToRegister() {\n onView(withId(R.id.btnLinkToRegisterScreen)).check(matches(isClickable()));\n onView(withId(R.id.btnLinkToRegisterScreen)).check(matches(notNullValue()));\n }",
"public boolean send() {\n\t\tif (!isValid())\n\t\t\treturn false;\n\t\t... | [
"0.6837007",
"0.6587495",
"0.6493858",
"0.6434146",
"0.6423935",
"0.6338277",
"0.62528676",
"0.62090427",
"0.6145809",
"0.6138947",
"0.6124845",
"0.61027664",
"0.6092178",
"0.6086071",
"0.60822475",
"0.6070534",
"0.6058522",
"0.60560167",
"0.5986287",
"0.59833956",
"0.5983395... | 0.7300946 | 0 |
test that the send button uses the correct button | @Test
public void testSendButtonHasCorrectID(){
FloatingActionButton sendButton = messagesActivity.fab;
int ID = sendButton.getId();
int expectedID = R.id.fab;
assertEquals(ID, expectedID);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Then(\"^Click On Send Button$\")\r\n\tpublic void click_On_Send_Button() {\n\t\tnop.click(\"//*[@id=\\\"submitMessage\\\"]/span\"); \r\n\t \r\n\t}",
"public void acceptTenderButton() {\n\t\tBy elem = By.cssSelector(\"button\");\n\t\tList<WebElement> elements = driver.findElements(elem);\n\t\t\n\t\tfor (Web... | [
"0.7155129",
"0.6690007",
"0.6493338",
"0.64661276",
"0.64640033",
"0.6458423",
"0.6447844",
"0.6377239",
"0.63707525",
"0.63704747",
"0.6367409",
"0.63566506",
"0.63439375",
"0.63335437",
"0.6325426",
"0.62933487",
"0.62669075",
"0.6263338",
"0.62610495",
"0.6259407",
"0.625... | 0.0 | -1 |
test that the edit text view is not null when the activity is run | @Test
public void testEditTextExists(){
ViewInteraction appCompatEditTextView = onView(withId(R.id.input));
appCompatEditTextView.perform(replaceText("testEditTextExists"), closeSoftKeyboard());
onView(withId(R.id.fab)).perform(click());
EditText input = messagesActivity.input;
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void testEditTextCleanup() throws Exception {\n\n // perform text input\n onView(withId(R.id.editText))\n .perform(typeText(LOG_TAG));\n\n // click pin button\n onView(withText(R.string.button_name))\n .perform(click());\n\n // veri... | [
"0.703944",
"0.68783647",
"0.6849771",
"0.66005796",
"0.6598137",
"0.6510192",
"0.6435221",
"0.64057964",
"0.63715655",
"0.63504195",
"0.6311757",
"0.62985146",
"0.6271382",
"0.6231683",
"0.6194336",
"0.6117394",
"0.61126304",
"0.609009",
"0.6081783",
"0.604255",
"0.60276425"... | 0.75051403 | 0 |
test that the edit text view uses the correct button | @Test
public void testEditTextHasCorrectID(){
ViewInteraction appCompatEditTextView = onView(withId(R.id.input));
appCompatEditTextView.perform(replaceText("testEditTextHasCorrectID"), closeSoftKeyboard());
onView(withId(R.id.fab)).perform(click());
EditText input = messagesActivity.... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void testEditTextExists(){\n ViewInteraction appCompatEditTextView = onView(withId(R.id.input));\n appCompatEditTextView.perform(replaceText(\"testEditTextExists\"), closeSoftKeyboard());\n onView(withId(R.id.fab)).perform(click());\n EditText input = messagesActivity.... | [
"0.7263213",
"0.7158105",
"0.71121836",
"0.69097525",
"0.688493",
"0.67581224",
"0.6756589",
"0.67455465",
"0.66324246",
"0.65891206",
"0.6464347",
"0.6446136",
"0.6434359",
"0.64018786",
"0.63873523",
"0.63438195",
"0.6328669",
"0.63218707",
"0.6301873",
"0.6299164",
"0.6246... | 0.7077228 | 3 |
test that when a message is sent, the message time receives the current user's time stamp | @Test
public void testMessageTimeNotNull(){
ViewInteraction appCompatEditTextView = onView(withId(R.id.input));
appCompatEditTextView.perform(replaceText("testMessageTime"), closeSoftKeyboard());
onView(withId(R.id.fab)).perform(click());
TextView messageTime= messagesActivity.messag... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void testGetTime() throws InterruptedException {\n Thread.sleep(5);\n assertTrue(chatMessage.getTime().before(new Date()));\n }",
"@Test\n public void testTimeStamp() throws JMSException {\n long requestTimeStamp = requestMessage.getJMSTimestamp();\n long resp... | [
"0.7303476",
"0.65674466",
"0.6544194",
"0.6428961",
"0.6305228",
"0.63029766",
"0.6194173",
"0.6031842",
"0.59948826",
"0.59508455",
"0.591377",
"0.58845735",
"0.5867692",
"0.58177865",
"0.58073676",
"0.5797791",
"0.57942706",
"0.5787618",
"0.5773513",
"0.57725155",
"0.57693... | 0.56916857 | 26 |
Create a new NumberedList. | public NumberedList()
{
_init=1;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@SuppressWarnings(\"unchecked\")\r\n public void createList() {\r\n items = new int[MAX_LIST];\r\n NumItems = 0;\r\n }",
"public TempList(int n) {\n list = new ArrayList<T>(n >= 0 ? n : 0);\n }",
"List() {\n final int ten = 10;\n list = new int[ten];\n ... | [
"0.63987136",
"0.6354183",
"0.630242",
"0.623829",
"0.6235397",
"0.61940885",
"0.61928207",
"0.61872596",
"0.6108343",
"0.6085024",
"0.5989366",
"0.5978271",
"0.5962744",
"0.59306717",
"0.59008783",
"0.5895786",
"0.58338827",
"0.58226067",
"0.5822565",
"0.57845175",
"0.571761... | 0.78727764 | 0 |
Get the initial value. | public int getInitialValue()
{
return _init;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public int getInitialValue() {\n return initialValue;\n }",
"public int getInitialValue() {\n return initialValue;\n }",
"public int getInitialValue() {\r\n\t\treturn initialValue;\r\n\t}",
"public String getInitialValue() {\n\t\treturn initialValue;\n\t}",
"protected abstract int getIn... | [
"0.8513254",
"0.8513254",
"0.84268266",
"0.814184",
"0.7985854",
"0.76690733",
"0.75192845",
"0.74089414",
"0.73232454",
"0.66696084",
"0.6661448",
"0.6661448",
"0.6627064",
"0.65807486",
"0.6572538",
"0.6558218",
"0.65492815",
"0.65492815",
"0.6537628",
"0.6537628",
"0.65182... | 0.8633377 | 0 |
Getting formatted message by pattern layout | public String getFormattedMessage(String level,String message, String target){
StringBuilder builder = new StringBuilder();
for (String next : priority) {
if(next.equals("date")){
if(date == null) {
builder.append(dateFormat.format(new Date()));
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private static String format(String pattern, Object... params) {\n\t\tStringBuffer result = new StringBuffer();\n\t\tnew MessageFormat(pattern, getLocale()).format(params, result, null);\n\t\treturn result.toString();\n\t}",
"private static String format(final String pattern, final Object... args) {\n\t\tString ... | [
"0.6994705",
"0.6829018",
"0.6239189",
"0.60414845",
"0.5888267",
"0.58867186",
"0.587654",
"0.5855127",
"0.5855127",
"0.5855127",
"0.5829108",
"0.58274764",
"0.58243686",
"0.58231837",
"0.57879126",
"0.5751254",
"0.5733025",
"0.57280695",
"0.56893486",
"0.56506836",
"0.56432... | 0.5628757 | 21 |
/ Object Param View | @XmlElement(required = true)
public String getName()
{
return name;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String getViewParam() {\r\n\t\treturn viewParam;\r\n\t}",
"INDArray getParams();",
"public ObjectParamView init(Object obj)\n\t{\n\t\tif((obj instanceof ObjectParam))\n\t\t\tthis.init((ObjectParam) obj);\n\t\treturn this;\n\t}",
"public Object getParam() {\n return param;\n }",
"@Override\... | [
"0.6273839",
"0.6223508",
"0.62025917",
"0.58364177",
"0.5815933",
"0.5814584",
"0.57922286",
"0.5783292",
"0.57163894",
"0.57135946",
"0.56985146",
"0.56467724",
"0.5638414",
"0.5632063",
"0.5614258",
"0.56052685",
"0.55979264",
"0.5596001",
"0.5596001",
"0.5596001",
"0.5581... | 0.0 | -1 |
/ public: ObjectParamView (init) interface | public ObjectParamView init(Object obj)
{
if((obj instanceof ObjectParam))
this.init((ObjectParam) obj);
return this;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tprotected void initParams() {\n\t\t\n\t}",
"@Override\n\tprotected void init() throws Exception {\n\t\toid = getParameter(\"oid\");\n\t\tif (AppUtil.isEmpty(oid)) {\n\t\t\toid = getArgument(\"oid\");\n\t\t}\n\t\tif (AppUtil.isEmpty(oid)) {\n\t\t\tsetupNewPage();\n\t\t} else {\n\t\t\tsetupEditPage();... | [
"0.6764985",
"0.6446369",
"0.64327216",
"0.6281416",
"0.6260584",
"0.62524617",
"0.61488295",
"0.6127398",
"0.61016876",
"0.61016744",
"0.60687375",
"0.60675883",
"0.60613984",
"0.60613984",
"0.60577166",
"0.6036525",
"0.60268193",
"0.60267633",
"0.6024286",
"0.6024286",
"0.6... | 0.84032243 | 0 |
TODO Autogenerated method stub | public String get_currency_name() {
return name;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
TODO Autogenerated method stub | public int[] get_ranking() {
return null;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
Record the video data sends by the camClient | private void recordCam() throws IOException, InterruptedException {
VideoDataStream vds = new VideoDataStream(true);
while (true) {
try {
if (dis.available() > 0) {
vds.processFrame(dis);
} else {
//Writing byt... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void recordVideo() {\n\n }",
"private void liveStreaming() throws IOException, InterruptedException {\n\n CamStreaming camStreaming = new CamStreaming();\n VideoDataStream vds = new VideoDataStream(true);\n byte[] frame;\n\n if (camStreaming.prepareStream(in)) {\n\n ... | [
"0.7386263",
"0.707025",
"0.68315136",
"0.6753297",
"0.66465366",
"0.63840115",
"0.62664455",
"0.6249779",
"0.62470907",
"0.62403053",
"0.6217827",
"0.61909145",
"0.6172522",
"0.60644495",
"0.60067505",
"0.60004926",
"0.5998849",
"0.59754825",
"0.5938067",
"0.5936633",
"0.591... | 0.7728257 | 0 |
Stream video data between two camClients and stores it simultaneously | private void liveStreaming() throws IOException, InterruptedException {
CamStreaming camStreaming = new CamStreaming();
VideoDataStream vds = new VideoDataStream(true);
byte[] frame;
if (camStreaming.prepareStream(in)) {
while (camStreaming.isTargetConnected()) {
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void requestLiveStreaming() throws IOException {\n\n String targetCamCode = dis.readUTF();\n\n Cam targetCam = CamRegister.findRegisteredCam(targetCamCode);\n\n try {\n DataOutputStream targetDos = new DataOutputStream(targetCam.getCamSocket().getOutputStream());\n\n ... | [
"0.6765168",
"0.6629281",
"0.65394175",
"0.6379433",
"0.6076767",
"0.6025764",
"0.59686905",
"0.59216666",
"0.5865124",
"0.5813422",
"0.5800829",
"0.5732836",
"0.56966466",
"0.56699395",
"0.5630639",
"0.558473",
"0.55743814",
"0.55701345",
"0.5557522",
"0.55539924",
"0.552890... | 0.7519468 | 0 |
Requests video recording to another camClient | private void requestRecord() throws IOException {
String targetCamCode = dis.readUTF();
Cam targetCam = CamRegister.findRegisteredCam(targetCamCode);
try {
DataOutputStream targetDos = new DataOutputStream(targetCam.getCamSocket().getOutputStream());
targetDos.writeInt... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void sendVideoRecordingRequest() {\n SurfaceTexture surfaceTexture = mTextureView.getSurfaceTexture();\n assert surfaceTexture != null;\n surfaceTexture.setDefaultBufferSize(mSizePreview.getSize().getWidth(), mSizePreview.getSize().getHeight());\n Surface previewSurface = new Su... | [
"0.6997779",
"0.6529984",
"0.6417616",
"0.63458467",
"0.63444906",
"0.6311839",
"0.60718423",
"0.5979483",
"0.5822907",
"0.5811819",
"0.5696986",
"0.56793547",
"0.5677607",
"0.56140393",
"0.55998206",
"0.5581227",
"0.55555713",
"0.5501461",
"0.5465655",
"0.5424361",
"0.542147... | 0.61156636 | 6 |
Requests video live streaming to another camClient | private void requestLiveStreaming() throws IOException {
String targetCamCode = dis.readUTF();
Cam targetCam = CamRegister.findRegisteredCam(targetCamCode);
try {
DataOutputStream targetDos = new DataOutputStream(targetCam.getCamSocket().getOutputStream());
targetDos.... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void liveStreaming() throws IOException, InterruptedException {\n\n CamStreaming camStreaming = new CamStreaming();\n VideoDataStream vds = new VideoDataStream(true);\n byte[] frame;\n\n if (camStreaming.prepareStream(in)) {\n\n while (camStreaming.isTargetConnected()... | [
"0.7130705",
"0.6822361",
"0.66052663",
"0.6433414",
"0.62424886",
"0.61532253",
"0.6113599",
"0.59824824",
"0.59687126",
"0.59453076",
"0.5942353",
"0.591622",
"0.588334",
"0.5882252",
"0.58746165",
"0.58490884",
"0.5847488",
"0.5780216",
"0.57749677",
"0.5752175",
"0.571175... | 0.77167493 | 0 |
TODO Autogenerated method stub | public int getCount() {
int count = 0;
if (newTwitts != null)
count += newTwitts.size();
if (oldTwitts.moveToFirst())
count += oldTwitts.getCount();
return count;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
TODO Autogenerated method stub | public Object getItem(int arg0) {
if ((newTwitts != null) && (oldTwitts.moveToFirst())){
if(arg0 < newTwitts.size())
return newTwitts.get(arg0);
else if (arg0 < getCount()){
oldTwitts.moveToPosition(arg0 - newTwitts.size());
try {
Status status = (Status) new JSONObject(ol... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
TODO Autogenerated method stub | public long getItemId(int arg0) {
return arg0;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
TODO Autogenerated method stub | public View getView(int position, View convertView, ViewGroup parent) {
if (convertView == null) {
convertView = newView(position, parent);
}
bindView(position, convertView);
return convertView;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
X axis vector Constructors // Construct Camera according to location and directions | public Camera(Point3D p0, Vector vUp, Vector vTo) {
_vTo = vTo.normalized();
_vUp = vUp.normalized();
if (!isZero(_vUp.dotProduct(_vTo)))
throw new IllegalArgumentException("Vup and Vto must be orthogonal");
_p0 = p0;
_vRight = _vTo.crossProduct(_vUp).normalize();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public PlayerWL() {\n super();\n rotateYAxis = 0;\n positionZ = 0;\n positionX = 0;\n camera = new PerspectiveCamera(true);\n camera.getTransforms().addAll(\n new Rotate(0, Rotate.Y_AXIS),\n new Rotate(-10, Rotate.X_AXIS),\n new... | [
"0.629685",
"0.6200202",
"0.6131984",
"0.6126561",
"0.61107963",
"0.609393",
"0.60397226",
"0.5995225",
"0.5957576",
"0.5952216",
"0.59463984",
"0.5925891",
"0.59110254",
"0.5903883",
"0.5886186",
"0.5886014",
"0.5868697",
"0.5818477",
"0.58060294",
"0.5801447",
"0.5792504",
... | 0.5904412 | 13 |
Getters/Setters // Getter of camera's location | public Point3D getP0() {
return _p0;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Point getCameraPosition() {\n\t\treturn new Point(cameraPosition.x, cameraPosition.y, cameraPosition.z);\n\t}",
"public Coord getCameraPosition() {\n if(internalNative == null) {\n if(internalLightweightCmp != null) {\n return internalLightweightCmp.getCenter();\n ... | [
"0.76706785",
"0.7452009",
"0.7304758",
"0.72690845",
"0.72338325",
"0.71559983",
"0.7154101",
"0.7046798",
"0.70081633",
"0.69327897",
"0.69272655",
"0.68681216",
"0.68557644",
"0.67711866",
"0.67711866",
"0.6747399",
"0.6741011",
"0.6716902",
"0.6701804",
"0.66915077",
"0.6... | 0.0 | -1 |
Getter of Y axis in relation to the camera | public Vector get_vUp() {
return _vUp;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public int getY()\n {\n return yaxis;\n }",
"public int getYPos() {\r\n\t\treturn this.cameraY;\r\n\t}",
"public float getYComponent() {\n return this.vy;\n }",
"public int getUserPlaneY() {\r\n\t\treturn levelManager.getUserPlaneY();\r\n\t}",
"public double getRightYAxis() {\n\t\treturn getRawAxi... | [
"0.7999134",
"0.7897046",
"0.74586236",
"0.74051386",
"0.73900485",
"0.7307881",
"0.72350925",
"0.72350925",
"0.72290343",
"0.71996915",
"0.7196935",
"0.7196721",
"0.71762556",
"0.7169685",
"0.7155802",
"0.71551186",
"0.71535957",
"0.71391636",
"0.7133373",
"0.71317726",
"0.7... | 0.0 | -1 |
Getter of Z axis in relation to the camera | public Vector get_vTo() {
return _vTo;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public int getZ()\n {\n return zaxis;\n }",
"public double getZ() {\n return position.getZ();\n }",
"public float getZ() {\r\n return z;\r\n }",
"godot.wire.Wire.Vector3 getZ();",
"public float getZ() {\n return z_;\n }",
"public float getZ() {\n return z_;... | [
"0.82104605",
"0.7450367",
"0.7320933",
"0.7319531",
"0.72825867",
"0.72662157",
"0.71566004",
"0.71566004",
"0.71501875",
"0.71501875",
"0.7141119",
"0.7141119",
"0.7141119",
"0.70997256",
"0.70879894",
"0.7021309",
"0.7021309",
"0.7014221",
"0.70016927",
"0.69941556",
"0.69... | 0.0 | -1 |
Getter of X axis in relation to the camera | public Vector get_vRight() {
return _vRight;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public int getX()\n {\n return xaxis;\n }",
"public int getXPos() {\r\n\t\treturn this.cameraX;\r\n\t}",
"public ChartXAxis getXAxis() { return _xaxis; }",
"public float getxPosition() {\n return xPosition;\n }",
"public float getX() { return xCoordinate;}",
"public double getFrameX() { ... | [
"0.7930546",
"0.788584",
"0.7296697",
"0.7065517",
"0.7039688",
"0.70329106",
"0.6998971",
"0.69734335",
"0.69453865",
"0.69453865",
"0.69453865",
"0.6933261",
"0.6931384",
"0.693011",
"0.6919721",
"0.6918418",
"0.6895458",
"0.68951845",
"0.68951845",
"0.68888426",
"0.6888562... | 0.0 | -1 |
Operations // Creates a ray though a certain pixel in the view plane | public Ray constructRayThroughPixel(int nX, int nY, int j, int i, //
double screenDistance, double screenWidth, double screenHeight) {
Point3D pC = _p0.add(_vTo.scale(screenDistance));
double rX = screenWidth / nX;
double rY = screenHeight / nY;
double yi = (i - (nY / 2.0)) * rY + (rY / 2.0);
double xj = (... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n\tpublic void testConstructRayThroughPixel() {\n\n\t\tCamera camera1 = new Camera(Point3D.ZERO, new Vector(0, 1, 0), new Vector(0, 0, 1));\n\n\t\t// 3X3\n\t\tRay ray11 = camera1.constructRayThroughPixel(3, 3, 1, 1, 100, 150, 150);\n\t\tRay expectedRay11 = new Ray(Point3D.ZERO, new Vector(50, 50, 100).normal... | [
"0.6826123",
"0.6718421",
"0.6547426",
"0.65022767",
"0.65022767",
"0.6460753",
"0.64524597",
"0.63822556",
"0.62495774",
"0.6227091",
"0.6226044",
"0.61740535",
"0.5921775",
"0.59114337",
"0.58347124",
"0.5762176",
"0.57131124",
"0.5679688",
"0.56575257",
"0.56371623",
"0.56... | 0.6210782 | 11 |
Constructor for duke.task.Task which takes in a String description and whether it is done or not. | Task(String description, boolean isDone) throws DateTimeException {
this.description = description;
this.isDone = isDone;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Task(String description, boolean done) {\r\n this.description = description;\r\n this.isDone = done;\r\n }",
"public Task(boolean isDone, String description) {\n this.description = description;\n this.isDone = isDone;\n }",
"public Task(String description){\n thi... | [
"0.8908575",
"0.8813516",
"0.86736125",
"0.86736125",
"0.86520123",
"0.86520123",
"0.8636979",
"0.8501657",
"0.8496353",
"0.84530014",
"0.84458363",
"0.84147775",
"0.83810556",
"0.8259589",
"0.8232722",
"0.79592997",
"0.78487396",
"0.76453996",
"0.7442807",
"0.7356628",
"0.72... | 0.78493875 | 16 |
Gets the String description of the task. | public String getDescription() {
return description;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String get_task_description()\n {\n return task_description;\n }",
"public String getDescription()\r\n {\r\n return \"Approver of the task \"+taskName();\r\n }",
"public String getTaskName() {\n return this.taskDescription;\n }",
"public String GiveTask(){\n return \... | [
"0.8601203",
"0.81070465",
"0.7988292",
"0.75082636",
"0.7391041",
"0.7390478",
"0.7301132",
"0.7232685",
"0.7194147",
"0.71572083",
"0.71572083",
"0.7147198",
"0.7147133",
"0.71446717",
"0.71305436",
"0.71305436",
"0.7114812",
"0.7109568",
"0.7081664",
"0.70810413",
"0.70742... | 0.0 | -1 |
Gets the boolean value whether task is done or not. | public boolean getDone() {
return isDone;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public boolean isDone(){\n return done;\n }",
"public String getIsDone() {\n if (isDone) {\n return \"1\";\n } else {\n return \"0\";\n }\n }",
"public boolean isDone() {\n return done;\n }",
"public boolean isDone() {\r\n return isDone;\r\n ... | [
"0.8020528",
"0.7949551",
"0.7901273",
"0.78913486",
"0.7885356",
"0.78826874",
"0.78826874",
"0.78826874",
"0.7881275",
"0.7881275",
"0.78720874",
"0.7867291",
"0.7827865",
"0.78197044",
"0.78197044",
"0.77187896",
"0.7682681",
"0.76467663",
"0.7602398",
"0.75435096",
"0.754... | 0.78373384 | 12 |
Sets duke.task.Task to be done. | public void setDone() {
isDone = true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setTask(Task task) {\n this.task = task;\n }",
"public void setTask(Task inTask){\n punchTask = inTask;\n }",
"public void setTask(TaskDTO task) {\n\t\tthis.task = task;\r\n\t\t\r\n\t\t\r\n\t}",
"protected void setupTask(Task task) {\n }",
"public void setTask(PickingRequ... | [
"0.71818554",
"0.7028011",
"0.68016356",
"0.6696008",
"0.653116",
"0.64311975",
"0.64230406",
"0.6386578",
"0.6351203",
"0.6343776",
"0.6255076",
"0.62515134",
"0.62498385",
"0.6228714",
"0.6181563",
"0.61627024",
"0.6162351",
"0.60684246",
"0.6056501",
"0.60524416",
"0.60256... | 0.61767673 | 15 |
Converts whether task is done or not to a status. + symbols means done symbol means not done | private String getStatusIcon() {
return (isDone ? "+" : "-");
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String getStatus() {\n return isDone ? \"1\" : \"0\";\n }",
"private static String getStatus(Task task) {\n Status myStatus = task.getStatus();\n if (myStatus == Status.UP_NEXT) {\n return \"UP_NEXT\";\n } else if (myStatus == Status.IN_PROGRESS) {\n re... | [
"0.70748615",
"0.69444174",
"0.6917158",
"0.6550039",
"0.64795375",
"0.63951546",
"0.63346833",
"0.62858784",
"0.6142251",
"0.61319554",
"0.60298777",
"0.60006696",
"0.59567076",
"0.58739954",
"0.5846445",
"0.57982326",
"0.5783803",
"0.57679725",
"0.57679725",
"0.57679725",
"... | 0.58162415 | 15 |
Gets the String representation of the task. | @Override
public String toString() {
return "[" + getStatusIcon() + "] " + getDescription();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String toString() {\n\n\t\tString output = \"\";\n\n\t\tfor (Task i : tasks) {\n\t\t\toutput += i.toString() + \"\\n \\n\";\n\t\t}\n\n\t\treturn output;\n\t}",
"public String pendingToString() {\n InterruptibleTask interruptibleTask = this.task;\n if (interruptibleTask == null) {\n ... | [
"0.7861892",
"0.76334476",
"0.7465651",
"0.74368036",
"0.73272437",
"0.72967964",
"0.72678256",
"0.72678256",
"0.72390264",
"0.7212752",
"0.72084284",
"0.71931136",
"0.709573",
"0.7087583",
"0.70421076",
"0.70408165",
"0.70265234",
"0.7014924",
"0.7009299",
"0.70027995",
"0.6... | 0.0 | -1 |
Returns the String representation of Deadline object. | public String toDataString() {
return isDone ? "1 | " + getDescription() : "0 | " + getDescription();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tpublic String toString() {\n\t\treturn String.format(\"Deadline: %d Value: %d\", this.deadline, this.value);\n\t}",
"@Override\n\tpublic DateTime getDeadLine() {\n\t\treturn this.details.getDeadLine();\n\t}",
"public String printDeadlineFormat() {\n return \" (. ﾟーﾟ) Doesn't match the deadl... | [
"0.7107814",
"0.6456071",
"0.642164",
"0.6409127",
"0.63603824",
"0.6340242",
"0.63291246",
"0.6279171",
"0.6278137",
"0.62546134",
"0.62449837",
"0.6228679",
"0.62225413",
"0.6173224",
"0.61686665",
"0.6129624",
"0.6117578",
"0.61012983",
"0.60974354",
"0.6052069",
"0.605163... | 0.0 | -1 |
TODO Autogenerated method stub | @Override
public void widgetDefaultSelected(SelectionEvent e) {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
TODO Autogenerated method stub | @Override
public void widgetDefaultSelected(SelectionEvent e) {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
TODO Autogenerated method stub | @Override
public void widgetDefaultSelected(SelectionEvent e) {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
Creates a new instance of SyncApplication | public DerbyApplication(Context context,DB db,Storage storage)
{
super(context);
this.db = db;
this.storage = storage;
getTunnelService().setEnabled(false);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private NewApplication createNewApplication() {\n GetNewApplicationRequest req =\n recordFactory.newRecordInstance(GetNewApplicationRequest.class);\n GetNewApplicationResponse resp;\n try {\n resp = rm.getClientRMService().getNewApplication(req);\n } catch (YarnException e) {\n String ... | [
"0.66869944",
"0.6574492",
"0.6512984",
"0.64005166",
"0.62663466",
"0.6063663",
"0.6040612",
"0.5969038",
"0.580241",
"0.5765427",
"0.5703421",
"0.55645216",
"0.5560555",
"0.5545641",
"0.55427516",
"0.5533849",
"0.5518471",
"0.5499832",
"0.54973996",
"0.5491882",
"0.5474138"... | 0.0 | -1 |
Initialize database from file | private static void loadTableData() {
BufferedReader in = null;
try {
in = new BufferedReader(new FileReader(dataDir + tableInfoFile));
while (true) {
// read next line
String line = in.readLine();
if (line == null) {
break;
}
String[] tokens = line.split(" ");
String tableNam... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private static void initializeDatabase() {\n\t\tArrayList<String> data = DatabaseHandler.readDatabase(DATABASE_NAME);\n\t\tAbstractSerializer serializer = new CineplexSerializer();\n\t\trecords = serializer.deserialize(data);\n\t}",
"public FileDatabase(String filename) throws IOException {\n\t\tdatabase = new F... | [
"0.7548207",
"0.7158145",
"0.6648796",
"0.66438127",
"0.6642097",
"0.66413355",
"0.6599986",
"0.6593157",
"0.6557276",
"0.65557224",
"0.6514799",
"0.6482477",
"0.6468478",
"0.6453314",
"0.6424349",
"0.63794047",
"0.6348668",
"0.6338576",
"0.6336453",
"0.6335966",
"0.63340217"... | 0.0 | -1 |
Load table data from file and insert it into DB. | public static void readTable(String tableName, String filename) {
// System.out.println(filename);
BufferedReader in = null;
try {
in = new BufferedReader(new FileReader(dataDir + filename));
while (true) {
String line = in.readLine();
if (line == null) {
break;
}
// remove | at en... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private static void loadTableData() {\n\n\t\tBufferedReader in = null;\n\t\ttry {\n\t\t\tin = new BufferedReader(new FileReader(dataDir + tableInfoFile));\n\n\t\t\twhile (true) {\n\n\t\t\t\t// read next line\n\t\t\t\tString line = in.readLine();\n\t\t\t\tif (line == null) {\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\n\t\t\t\t... | [
"0.7117139",
"0.69467306",
"0.67497486",
"0.67228657",
"0.6546166",
"0.6520098",
"0.64840114",
"0.64533603",
"0.6390806",
"0.6358577",
"0.6345898",
"0.63434947",
"0.6326316",
"0.6241529",
"0.6191376",
"0.6146392",
"0.6134666",
"0.6093861",
"0.604476",
"0.60385454",
"0.6028895... | 0.62319565 | 14 |
/ CREATE and UPDATE | public void saveProduct(Product product); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"Update createUpdate();",
"E update(E entiry);",
"Dao.CreateOrUpdateStatus createOrUpdate(T data) throws SQLException, DaoException;",
"int updateByPrimaryKey(Factory record);",
"private static void testupdate() {\n\t\ttry {\n\t\t\tRoleModel model = new RoleModel();\n\t\t\tRoleBean bean = new RoleBean();\n\... | [
"0.7551734",
"0.6337913",
"0.63296205",
"0.6224424",
"0.6022952",
"0.5995848",
"0.5974442",
"0.59267586",
"0.59255564",
"0.59012264",
"0.5877681",
"0.5870225",
"0.58656925",
"0.58656925",
"0.5857596",
"0.5857238",
"0.5848731",
"0.58469486",
"0.58456814",
"0.58251405",
"0.5823... | 0.0 | -1 |
Constructor for device that takes a hub. | public Device(Hub h) {
uuid = UUID.randomUUID();
status = Status.NORMAL;
hub = h;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public device() {\n\t\tsuper();\n\t}",
"public Device() {\n }",
"public PuppetIdracServerDevice() { }",
"private Device(Builder builder) {\n super(builder);\n }",
"Device createDevice();",
"public IoTSecurityAlertedDevice() {\n }",
"public DeviceInfo() {}",
"Builder forDevice(Device... | [
"0.62662727",
"0.62225235",
"0.5870068",
"0.58545834",
"0.5662433",
"0.55389583",
"0.55365556",
"0.54398614",
"0.5427518",
"0.5411364",
"0.54077846",
"0.5370419",
"0.53584594",
"0.53284353",
"0.53234935",
"0.5298077",
"0.52637833",
"0.52526337",
"0.5228228",
"0.52001774",
"0.... | 0.84345526 | 0 |
This function alerts the hub with a message from the device. It protects the hub from the device implementations. | protected final void alertHub(String message) {
hub.alert(new JSONMessaging(this, message));
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void alert(String message) {\n\t\tAlertDialog alert = new AlertDialog.Builder(this).setTitle(getString(R.string.warning)).setMessage(message)\n\t\t\t\t.setNeutralButton(getString(R.string.ok), new DialogInterface.OnClickListener() {\n\t\t\t\t\tpublic void onClick(DialogInterface dialog, int id) {\n\t\t\t\t... | [
"0.6408825",
"0.6180617",
"0.61442816",
"0.6108709",
"0.6082957",
"0.60825557",
"0.59979665",
"0.5984548",
"0.59442174",
"0.59188604",
"0.5906586",
"0.5903808",
"0.5893656",
"0.586571",
"0.58470786",
"0.58420664",
"0.58418465",
"0.5838498",
"0.5828049",
"0.58240885",
"0.58201... | 0.689159 | 0 |
This function receives notifications from the hub which are sent from the clients. The device implementation should filter based on target UUID/message. | public abstract void notify(JSONObject message); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public void onMessageReceived(RemoteMessage remoteMessage) {\n Log.i(TAG, \"From: \" + remoteMessage.getFrom());\n sendOnChannel1();\n sendOnChannel2();\n if (remoteMessage == null)\n return;\n\n // Check if message contains a notification payload.\n ... | [
"0.625814",
"0.59923756",
"0.5935336",
"0.58732873",
"0.5866304",
"0.5864618",
"0.58565974",
"0.5829044",
"0.5809247",
"0.5803461",
"0.5749803",
"0.5746646",
"0.57394207",
"0.57371145",
"0.5734778",
"0.5719245",
"0.5709673",
"0.5701233",
"0.56726086",
"0.5671781",
"0.5656573"... | 0.5232158 | 81 |
This method serves to ensure that only the button at lowest possible location will be turned red/yellow | public int checkLowestPossible(int j, int m){
for(int i =5; i>=0; i--){
if(board[i][j]==0){
board[i][j] = m;
return i;
}
}
return -1;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private static void setButtonsColor(){\r\n for(MyButton b: mylist.getAllButtons()){\r\n if(!b.isChosen()){\r\n b.resetColor();\r\n }\r\n }\r\n \r\n for (MyButton b1: mylist.getAllButtons()){\r\n if(b1.isChosen()){\r\n for(My... | [
"0.67935747",
"0.64528584",
"0.644425",
"0.63673043",
"0.63002086",
"0.62935823",
"0.6291535",
"0.62806374",
"0.61793625",
"0.61237913",
"0.6123112",
"0.6119282",
"0.6110097",
"0.60961545",
"0.608377",
"0.6052848",
"0.60176915",
"0.5987466",
"0.59867525",
"0.5954904",
"0.5951... | 0.0 | -1 |
This methods checks to see if there is a winner. Every nested for loop works in the same way in that it goes through and sees if there are four integers in the board array that are the same, if they aren't 0. If so, the applicable buttons in the GBoard[][] will be turned into a star, the wonYet variable will be set to ... | public boolean winCheck(){
for(int i=0; i<3; i++){//goes through rows
for(int j=0; j<4; j++){//goes through columns
if(board[i][j+3] != 0 && board[i+1][j+2] != 0 && board[i+2][j+1] != 0 &&
board[i+3][j] != 0)
if(board[i][j+3]==(board[i+1][j+2]))
i... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public boolean checkForWinner(String player) {\r\n\t\t\r\n\t\t// check rows\r\n\t\tfor (int row = 0; row < board.length; row++) {\r\n\t\t\tint markCounter = 0;\r\n\t\t\tfor (int col = 0; col < board[row].length; col++) {\r\n\t\t\t\tif (board[row][col].getText().contains(player)) {\r\n\t\t\t\t\tmarkCounter++;\r\n\t... | [
"0.76808673",
"0.7676943",
"0.75713795",
"0.75407284",
"0.7531781",
"0.752648",
"0.74821734",
"0.74299294",
"0.74128234",
"0.7391343",
"0.7368067",
"0.7356322",
"0.7342707",
"0.72748566",
"0.7274512",
"0.7236196",
"0.7233697",
"0.7211992",
"0.7188406",
"0.7187419",
"0.7179037... | 0.8556861 | 0 |
/This method only returns one integer, referring to one column a "chip will be dropped into". It first sees to if it can win anywhere (verticals, all horizontals, all diagnonals, and all sub subdiagonals). If if can't win anywhere, it will then see if the user is one move away from winning by checking for all verticals... | public int AI(){
for(int i=0; i<3; i++){
for(int j=0; j<7; j++){
if(board[i][j]==0 && board[i+1][j]==2 && board[i+2][j]==2 && board[i+3][j]==2){
return j;
}
}
}
//checks for horizontals (Y-YY)
for(int i=0; i<6; i++){
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private int checkWinner() {\n if (this.turnCount >= 2) {\n int colWin = this.checkColumn();\n if (colWin > 0) {\n return colWin;\n }\n\n int rowWin = this.checkRow();\n if (rowWin > 0) {\n return rowWin;\n }\n\n ... | [
"0.7284139",
"0.7104654",
"0.6932534",
"0.68327767",
"0.6809983",
"0.6788454",
"0.6765939",
"0.65822726",
"0.65763813",
"0.65308684",
"0.6508098",
"0.6497964",
"0.6475624",
"0.6444424",
"0.641199",
"0.6384879",
"0.63818955",
"0.6364739",
"0.6362011",
"0.63601094",
"0.6342892"... | 0.0 | -1 |
TODO Autogenerated method stub | @Override
public void keyPressed() {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
For wildcard or type variable, the first bound determines the runtime type. | public final Class<? super T> getRawType() {
Class<?> rawType = getRawTypes().iterator().next();
@SuppressWarnings("unchecked") // raw type is |T|
Class<? super T> result = (Class<? super T>) rawType;
return result;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\r\n public void testParameterizedTypeWithWildcardWithTypeVariableBound()\r\n {\r\n Type typeVariable = Types.createTypeVariable(\"E\");\r\n Type wildcardType = Types.createWildcardType(\r\n null, new Type[]{typeVariable});\r\n Type parameterizedType = \r\n Ty... | [
"0.5873269",
"0.58136857",
"0.5732055",
"0.55127215",
"0.54531866",
"0.5448836",
"0.54032785",
"0.5390001",
"0.53781074",
"0.5319641",
"0.5310277",
"0.5235763",
"0.5187563",
"0.51568156",
"0.51051575",
"0.5082757",
"0.50807315",
"0.50397736",
"0.49919072",
"0.49791312",
"0.49... | 0.0 | -1 |
TODO Autogenerated method stub | public static void main(String[] args) {
List<String> x=getCompanyNames();
for(String y:x){
System.out.println(y);
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
GET All User's Current Location | @RequestMapping(value = "/current_location/all", method = RequestMethod.GET)
public ResponseEntity<List<CurrentLocation>> getAllFavoriteZones() {
List<CurrentLocation> currentLocationList = currentLocationService.findAllCurrentLocation();
if(currentLocationList.isEmpty()){
return new R... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"Location getUserLocation()\n {\n\n return userLocation;\n }",
"public List<LocationInfo> getAllLocation() {\n return allLocation;\n }",
"com.google.ads.googleads.v6.resources.UserLocationView getUserLocationView();",
"Map<UUID, Optional<Location>> getAllCurrentLocations();",
"public ... | [
"0.7027496",
"0.70127463",
"0.69614536",
"0.68853545",
"0.6871158",
"0.6867586",
"0.66958594",
"0.66261953",
"0.65846604",
"0.65846604",
"0.65846604",
"0.65846604",
"0.65215224",
"0.65211505",
"0.6516885",
"0.6474377",
"0.6432292",
"0.6408678",
"0.6399806",
"0.63953745",
"0.6... | 0.0 | -1 |
GET My Current Location | @RequestMapping(value = "/current_location/{user_id}", method = RequestMethod.GET)
public ResponseEntity<CurrentLocation> getAboutMe(@PathVariable String user_id) {
CurrentLocation currentLocation = currentLocationService.findMyCurrentLocation(user_id);
if (currentLocation == null) {
S... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Location getCurrentLocation();",
"URI getLocation();",
"Location getLocation();",
"Location getLocation();",
"Location getLocation();",
"Location getLocation();",
"@SuppressWarnings(\"unused\")\n Location getCurrentLocation();",
"String location();",
"String location();",
"String lo... | [
"0.7912868",
"0.77893895",
"0.77008957",
"0.77008957",
"0.77008957",
"0.77008957",
"0.75745404",
"0.7512766",
"0.7512766",
"0.7512766",
"0.7512766",
"0.7512766",
"0.7512766",
"0.7512766",
"0.7512766",
"0.7507328",
"0.74938804",
"0.74938804",
"0.74938804",
"0.7357591",
"0.7270... | 0.0 | -1 |
Created by TW on 2017/7/14. | public interface GoodsDao {
@Select("SELECT g.id, g.NAME, g.caption, g.image, g.price FROM xx_goods g LEFT JOIN " +
" xx_product_category p on g.product_category = p.id LEFT JOIN xx_goods_tag t on g.id=t.goods " +
" where p.tree_path LIKE ',${categoryId},%' AND t.tags = #{tagId} and g.is_ma... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public void perish() {\n \n }",
"private stendhal() {\n\t}",
"@Override\n\tpublic void grabar() {\n\t\t\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\r\n\tpublic void tires() {\n\t\t\r\n\t}",
"@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}",
"@Override\r... | [
"0.60549164",
"0.59378976",
"0.5798452",
"0.5762114",
"0.5741649",
"0.57081324",
"0.57081324",
"0.5665461",
"0.5643025",
"0.56324536",
"0.5617877",
"0.55715424",
"0.5548387",
"0.5535888",
"0.55287606",
"0.55274373",
"0.5522739",
"0.5522739",
"0.5522739",
"0.5522739",
"0.55227... | 0.0 | -1 |
Creates a new empty instance of DailyQuoteSeries. | public Series()
{
super();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private XYSeries createSeries() {\r\n return createSeries(0);\r\n }",
"public DateAxis() { this(null); }",
"public BasicOrderedSeries()\n\t{\n\t\tsuper();\n\t}",
"public Series () {\n super();\n this.price = RandomFill.generateNumber(5,15);\n this.listSeason = RandomFill.genera... | [
"0.66558605",
"0.60162497",
"0.6010112",
"0.57146883",
"0.56819767",
"0.54534674",
"0.54357696",
"0.53980863",
"0.5316092",
"0.529453",
"0.5289731",
"0.5283593",
"0.5273274",
"0.5261185",
"0.52505434",
"0.52478236",
"0.5228155",
"0.5222818",
"0.52124697",
"0.5108033",
"0.5105... | 0.6124297 | 1 |
Creates a new instance of DailyQuoteSeries from a collection. | public Series(Collection<Integer> series)
{
readCollection(series);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private XYDataset createDataset() {\n final XYSeriesCollection dataset = new XYSeriesCollection();\n //dataset.addSeries(totalDemand);\n dataset.addSeries(cerContent);\n //dataset.addSeries(cerDemand);\n dataset.addSeries(comContent);\n //dataset.addSeries(comDemand);\n ... | [
"0.5225168",
"0.51628864",
"0.5085745",
"0.50808245",
"0.4996711",
"0.4959507",
"0.48796365",
"0.4837174",
"0.48033255",
"0.47983602",
"0.46557888",
"0.46286884",
"0.4625884",
"0.4601717",
"0.45996085",
"0.45935482",
"0.4593343",
"0.45831278",
"0.45741603",
"0.45392412",
"0.4... | 0.5644957 | 0 |
Reads the series from a collection of floating point values in double precision. | protected void readCollection(Collection<Integer> series)
{
size = series.size();
if(size==0)
return;
x = new double[size];
Iterator<Integer> i = series.iterator();
for(int t = 0; i.hasNext(); t++)
x[t] = (i.next()).doubleValue();
if(size<2)
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static double[] readDoubles() {\n return readAllDoubles();\n }",
"public abstract void read_double_array(double[] value, int offset, int\nlength);",
"public abstract double readAsDbl(int offset);",
"double readDouble();",
"double readDouble() throws IOException;",
"private Data[... | [
"0.6997097",
"0.65448064",
"0.6420158",
"0.6241261",
"0.6060583",
"0.60147303",
"0.6014709",
"0.5972213",
"0.59520096",
"0.5931642",
"0.59146595",
"0.5903449",
"0.5827682",
"0.5804927",
"0.57390577",
"0.572967",
"0.571828",
"0.56917524",
"0.5678745",
"0.5654575",
"0.5650003",... | 0.6953889 | 1 |
Get the tth quote in the series. | public double getQuote(int t)
{
if(t<0 || t>=size)
return 0.0;
return x[t];
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public double getTick() { // 3\n\t\treturn tic;\n\t}",
"public String getQuote(){\n\t\tString quote = null;\n\t\ttry {\n\t\t\tcrs = qb.selectFrom(\"qotd\").all().executeQuery();\n\n\t\t\tif(crs.next()) {\n\t\t\t\tquote = crs.getString(\"qotd\");\n\... | [
"0.604744",
"0.5943398",
"0.5878005",
"0.58649635",
"0.5774259",
"0.576446",
"0.57144666",
"0.57097787",
"0.56965274",
"0.5662565",
"0.55669814",
"0.5560736",
"0.55371404",
"0.5530598",
"0.54584324",
"0.54466325",
"0.5437523",
"0.5423475",
"0.5395896",
"0.5327191",
"0.5322363... | 0.6981264 | 0 |
Get the square of the tth quote in the series. | public double getSqrQuote(int t)
{
if(t<0 || t>=size)
return 0.0;
return x[t]*x[t];
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public double getQuote(int t)\n {\n if(t<0 || t>=size)\n return 0.0;\n return x[t];\n }",
"private int getMQuote()\n {\n if (mQuote != 0)\n {\n return mQuote; // already calculated\n }\n\n// assert this.sign > 0;\n\n int d = -magnitu... | [
"0.71790266",
"0.5745889",
"0.57217056",
"0.5646441",
"0.5483308",
"0.5470933",
"0.5394773",
"0.53751916",
"0.53218865",
"0.5267231",
"0.52542824",
"0.5228414",
"0.5223884",
"0.52205426",
"0.52074474",
"0.51898354",
"0.51624525",
"0.5157856",
"0.5126182",
"0.5106508",
"0.5065... | 0.7119622 | 1 |
Returns the logreturn calculated on the tth environement of the series. The logreturn of environement x(t) of series X is defined as log(x(t)/x(t 1). For this reason, the first environement for which logreturn can be calculated is the one with index 1. Requesting a logreturn for an outofrange index does not cause an ex... | public double getLogReturn(int t)
{
if(t<1 || t>=size)
return 0.0;
return r[t - 1];
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public double logZero(double x);",
"long getLastLogIndex();",
"long getFirstLogIndex();",
"public Series logarithmic()\n {\n Series logarithmic = new Series();\n logarithmic.x = new double[logarithmic.size = size];\n logarithmic.r = r;\n for(int t = 0; t<size; t++)\n ... | [
"0.5831289",
"0.56712365",
"0.5641109",
"0.5636774",
"0.5563027",
"0.54627055",
"0.5392971",
"0.53246105",
"0.53125197",
"0.52770096",
"0.52540725",
"0.52529925",
"0.5186798",
"0.5183949",
"0.51615274",
"0.514997",
"0.5132007",
"0.50933486",
"0.5060206",
"0.5050792",
"0.50493... | 0.6868315 | 0 |
Sample mean of the series. | public double mean()
{
double sum = 0.0;
for(int t = 0; t<size; t++)
sum += x[t];
return sum/size;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public double mean() {\n double total = 0;\n for (int i = 0; i < sites.length; i++) {\n total += sites[i];\n }\n sampleMean = total / size / times;\n return sampleMean;\n }",
"public double mean() {\r\n\t\treturn mean;\r\n\t}",
"public double mean() {\n\t\tretur... | [
"0.7463143",
"0.72188044",
"0.71837693",
"0.71837693",
"0.71716744",
"0.71409225",
"0.70390004",
"0.7015413",
"0.6967397",
"0.6951795",
"0.6949215",
"0.6930485",
"0.69242525",
"0.68493843",
"0.68419594",
"0.68400085",
"0.6834142",
"0.68331766",
"0.679127",
"0.6757434",
"0.675... | 0.69534713 | 9 |
Variance of the series w.r.t. a known mean. | public double variance(double m)
{
double var = 0.0;
for(int t = 0; t<size; t++)
{
double dev = x[t] - m;
var += dev*dev;
}
return var/size;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private static double varianceVal(double[] arrayOfSamples, double mean){\n\t double v = 0;\n\t for(double i :arrayOfSamples)\n\t v += Math.pow((mean-i), 2);\n\t return v / arrayOfSamples.length;\n\t}",
"public double varianceOfMean() {\n\t\treturn variance() * getWeight();\n\t}",
... | [
"0.78710103",
"0.78310233",
"0.7800162",
"0.7689536",
"0.76676583",
"0.762574",
"0.75679225",
"0.7541008",
"0.7243375",
"0.71831983",
"0.71747977",
"0.70331806",
"0.6996695",
"0.69443744",
"0.68520516",
"0.6732104",
"0.6675919",
"0.66715294",
"0.6624185",
"0.65689576",
"0.656... | 0.68469554 | 15 |
Variance of the series. | public double variance()
{
return variance(mean());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Double getVariance() {\n return variance;\n }",
"public double variance() {\n final double average = average();\n final int size = size();\n\n int cnt = 0;\n double rval = 0;\n\n // Compute the variance\n for (int i = 0; i < size; i++) {\n fin... | [
"0.8065374",
"0.79044783",
"0.789876",
"0.7867054",
"0.78445333",
"0.7619414",
"0.74946046",
"0.74621403",
"0.73266447",
"0.7326475",
"0.7306682",
"0.72074115",
"0.7050715",
"0.7034852",
"0.695394",
"0.6889989",
"0.68309194",
"0.68229866",
"0.68229866",
"0.6811071",
"0.675020... | 0.79914725 | 1 |
Exponential smoothing backcast for GARCH variance initialization. This method is a Java porting of Matlab function varbackcast by TradingLab. | public double varianceBackcast()
{
double unconditionalVariance = variance(0.0);
// why do they compute the unconditional variance if they don't
// use it afterwards?
double lambda = .7;
double sigsum = 0.0;
for(int t = 0; t<size; t++)
sigsum += M... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"double [] calcGamma(){\n\t\t\tgamma = new double [N];\n\t\t\tdouble [] gammaParam = new double [noLiveSites];\n\t\t\tint liveSite = 0;\n\t\t\tfor (int i = 0; i < N; i ++){\n\t\t\t\tgamma[i] = 1.0;\n\t\t\t\tif(aliveLattice[i]){\n\t\t\t\t\tdouble phi_i = 1.0 - fracDeadNbors[i];\n\t\t\t\t\tgammaParam[liveSite] = 1-ph... | [
"0.51500094",
"0.49908596",
"0.49872848",
"0.4832363",
"0.4774074",
"0.47540474",
"0.46885556",
"0.46764994",
"0.46677428",
"0.46667022",
"0.46390954",
"0.46076834",
"0.46023986",
"0.45800066",
"0.45209542",
"0.45164892",
"0.44780508",
"0.4475406",
"0.44749272",
"0.44710934",
... | 0.529897 | 0 |
Return a moving average for the series for the given day. The nday moving average, MA(n), is a very simple and popular delay technical indicator. | public double movingAverage(int periods, int t)
{
if(periods>t + 1 || periods<1)
throw new IndexOutOfBoundsException("MA(" + periods + ") is undefined at time " + t);
double sum = 0.0;
for(int i = t - periods + 1; i<=t; i++)
sum += x[i];
return sum/periods;
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n\tpublic void MovingAverage() {\n\t\tList<Double> high = new ArrayList<Double>();\n\t\t// high = highPriceList();\n\t\tfor (Double data2 : high) {\n\t\t\tSystem.out.println(data2);\n\t\t}\n\t\t// double[] testData = { 1, 2, 3, 4, 5, 5, 4, 3, 2, 1 };\n\t\tint[] windowSizes = { 3 };\n\n\t\tfor (int windSize :... | [
"0.6104358",
"0.6029362",
"0.5758788",
"0.5700185",
"0.56716883",
"0.5554278",
"0.5480909",
"0.53541315",
"0.53469783",
"0.5338232",
"0.5322921",
"0.51918405",
"0.5174072",
"0.51092106",
"0.49829495",
"0.4951872",
"0.49417424",
"0.49314085",
"0.48986727",
"0.4876008",
"0.4874... | 0.5698314 | 4 |
Return an exponential moving average for the series for the given day. The nday exponential moving average, EMA(n), is a very popular delay technical indicator. | public double expMovingAverage(int periods, int t)
{
if(periods<1)
throw new IndexOutOfBoundsException("EMA(" + periods + ") is undefined at time " + t);
double alpha = 2.0/(periods + 1);
double ema = 0.0;
for(int i = 0; i<=t; i++)
ema += alpha*(x[i] - ema);
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public double averageSteps() {\n if (day==0) return 0;\n return (double) totalSteps / day;}",
"private static double calculateMovingAverage(JsArrayNumber history) {\n double[] vals = new double[history.length()];\n long size = history.length();\n double sum = 0.0;\n double mSum = 0.0;\n... | [
"0.57069635",
"0.5461666",
"0.5426084",
"0.5391336",
"0.5247684",
"0.52086073",
"0.5170173",
"0.50805634",
"0.5071065",
"0.5043507",
"0.5042026",
"0.50237584",
"0.50073195",
"0.5001429",
"0.49868557",
"0.49804515",
"0.49752748",
"0.4914446",
"0.4875539",
"0.48647755",
"0.4832... | 0.6108191 | 0 |
Returns the "standard" MACD for the series for the given day. Developed by Gerald Appel, Moving Average Convergence/Divergence (MACD) is one of the simplest and most reliable indicators available. MACD uses moving averages, which are lagging indicators, to include some trendfollowing characteristics. These lagging indi... | public double MACD(int t)
{
return MACD(26, 12, t);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public double MACDSignal(int t)\n {\n Series macd = new Series();\n macd.x = new double[macd.size = t + 1];\n for(int i = 0; i<=t; i++)\n macd.x[i] = MACD(i);\n return macd.expMovingAverage(9, t);\n }",
"@Override \r\n protected void calculate(int index, DataContext... | [
"0.5747135",
"0.4984603",
"0.4729237",
"0.45979315",
"0.45145375",
"0.44193342",
"0.44025046",
"0.43632177",
"0.43584004",
"0.42650777",
"0.42184192",
"0.42168382",
"0.4177957",
"0.41522455",
"0.41474697",
"0.41410518",
"0.41263267",
"0.41074225",
"0.408753",
"0.408753",
"0.4... | 0.500716 | 1 |
Returns the MACD technical indicator for the series for the given day. Developed by Gerald Appel, Moving Average Convergence/Divergence (MACD) is one of the simplest and most reliable indicators available. MACD uses moving averages, which are lagging indicators, to include some trendfollowing characteristics. These lag... | public double MACD(int slow, int fast, int t)
{
if(slow<=fast)
throw new IndexOutOfBoundsException("MACD(" + slow + " - " +
fast + ") is undefined at time " + t);
return expMovingAverage(slow, t) - expMovingAverage(fast, t);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override \r\n protected void calculate(int index, DataContext ctx)\r\n {\r\n DataSeries series = ctx.getDataSeries();\r\n boolean complete=true;\r\n \r\n /*\r\n int macdPeriod1 = getSettings().getInteger(MACD_PERIOD1, 12);\r\n int macdPeriod2 = getSettings().getInteger(MACD_PERIOD2, 26);\r\n ... | [
"0.5711288",
"0.54807335",
"0.4906584",
"0.48030573",
"0.45229852",
"0.45071",
"0.44453505",
"0.44249108",
"0.437002",
"0.4330886",
"0.4327715",
"0.4313148",
"0.43106163",
"0.43103933",
"0.4296545",
"0.4292115",
"0.42614692",
"0.42514506",
"0.42509276",
"0.42502838",
"0.42501... | 0.4065727 | 33 |
Calculates the signal line for the MACD (Moving Average Convergence/Divergence), which is the difference between a short and a long term moving average for a field. The signal line is a moving average of the MACD used for generating entry/exit signals. The MACD signal line is a 9period exponential moving average of the... | public double MACDSignal(int t)
{
Series macd = new Series();
macd.x = new double[macd.size = t + 1];
for(int i = 0; i<=t; i++)
macd.x[i] = MACD(i);
return macd.expMovingAverage(9, t);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override \r\n protected void calculate(int index, DataContext ctx)\r\n {\r\n DataSeries series = ctx.getDataSeries();\r\n boolean complete=true;\r\n \r\n /*\r\n int macdPeriod1 = getSettings().getInteger(MACD_PERIOD1, 12);\r\n int macdPeriod2 = getSettings().getInteger(MACD_PERIOD2, 26);\r\n ... | [
"0.6408273",
"0.5388387",
"0.50075793",
"0.48845273",
"0.47046033",
"0.469359",
"0.46626016",
"0.46207273",
"0.45988655",
"0.44616583",
"0.44593862",
"0.43690953",
"0.43485478",
"0.43134356",
"0.43045345",
"0.4300377",
"0.42951757",
"0.4273741",
"0.42725843",
"0.42520598",
"0... | 0.6478376 | 0 |
Computes the momentum technical indicator. | public double momentum(int periods, int t)
{
if(periods>t || periods<1)
throw new IndexOutOfBoundsException("Momentum(" + periods + ") is undefined at time " + t);
return x[t] - x[t - periods];
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public abstract double getCarbon();",
"double getAcceleration ();",
"public abstract float getMomentOfInertia();",
"@Override\n\tpublic double getCarbon() {\n\t\treturn 0;\n\t}",
"Measurement getAccumulation();",
"public Momentum() {\r\n m1 = m2 = v1 = v2 = p1 = p2 = comx = cv = 0.0;\r\n xp... | [
"0.5842511",
"0.5621919",
"0.55915004",
"0.54739785",
"0.53959656",
"0.5384035",
"0.5352019",
"0.5313902",
"0.5301976",
"0.5283968",
"0.52585053",
"0.52410376",
"0.52403766",
"0.5226403",
"0.5222235",
"0.52209216",
"0.5213842",
"0.5205169",
"0.51634383",
"0.5163087",
"0.51558... | 0.48180455 | 88 |
Computes the rate of change (or ROC) technical indicator. | public double rateOfChange(int periods, int t)
{
if(periods>t || periods<1)
throw new IndexOutOfBoundsException("ROC(" + periods + ") is undefined at time " + t);
return 100.0*(x[t] - x[t - periods])/x[t - periods];
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"abstract double calculateCurrentDiscountRate();",
"float getVacationAccrualRate();",
"public abstract double getDiscountRate();",
"double getRate();",
"@Override\n\tpublic double calRate() {\n\t\treturn 0.9f;\n\t}",
"public double getRate() {\r\n\t\treturn (getRate(0)+getRate(1))/2.0;\r\n\t}",
"public ... | [
"0.71553296",
"0.6922983",
"0.6765091",
"0.67244434",
"0.66893506",
"0.6533797",
"0.626141",
"0.62270856",
"0.6212958",
"0.62019116",
"0.61990136",
"0.61549115",
"0.615388",
"0.6125401",
"0.6111512",
"0.6106158",
"0.6106158",
"0.6076298",
"0.6076096",
"0.60693413",
"0.6060036... | 0.58961135 | 43 |
Computes the relative strength index (RSI) with the given number of periods. | public double relativeStrengthIndex(int periods, int t)
{
double rs = upward().expMovingAverage(periods, t - 1)/downward().expMovingAverage(periods, t - 1);
return 100.0 - 100.0/(1 + rs);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public double getRSI(double[] hArr) throws Exception {\n\t\tdouble up=0;\n\t\tdouble down=0;\n\t\tSystem.out.println(\"plz\" + hArr.length + \"?\" + period_day);\n\t\tfor(int i = 0; i < period_day; i++) {\n\t\t\t\n\t\t\tif(hArr[i] < hArr[i+1]) {\n\t\t\t\tup += hArr[i+1] - hArr[i];\n\t\t\t}\n\t\t\telse if(hArr[i] >... | [
"0.6084087",
"0.5116293",
"0.50306547",
"0.49412704",
"0.48824358",
"0.48582923",
"0.47497806",
"0.46959522",
"0.4670009",
"0.46693566",
"0.4646477",
"0.45650303",
"0.4529743",
"0.44942683",
"0.4485951",
"0.44691697",
"0.44615254",
"0.44497746",
"0.44259173",
"0.441421",
"0.4... | 0.6565824 | 0 |
Create a new historical series from this one by removing the trend by means of a moving average of the given depth. Because of the way the trend is removed from the series, the first depth quotes are lost. | public Series removeDelayedTrend(int depth)
{
if(depth<1 || depth>=size)
throw new IndexOutOfBoundsException();
Series oscillator = new Series();
oscillator.x = new double[oscillator.size = size - depth];
if(oscillator.size>1)
oscillator.r = new double[oscilla... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private static double calculateMovingAverage(JsArrayNumber history) {\n double[] vals = new double[history.length()];\n long size = history.length();\n double sum = 0.0;\n double mSum = 0.0;\n long mCount = 0;\n\n // Check for sufficient data\n if (size >= 8) {\n // Clone the array and Ca... | [
"0.50266796",
"0.46697804",
"0.46451804",
"0.46282667",
"0.4593762",
"0.45455372",
"0.44172737",
"0.43962234",
"0.420705",
"0.41807774",
"0.41794118",
"0.41414747",
"0.4132326",
"0.41083792",
"0.4102095",
"0.40482166",
"0.40200713",
"0.39770633",
"0.39330322",
"0.3888552",
"0... | 0.7574231 | 0 |
Create a new historical series from this one by removing the given linear trend. This method is intended for use on logarithmic series only. Applying it to a linear series is possible, but would be a conceptual error. | public Series removeLinearTrend(double c, double r)
{
Series oscillator = new Series();
oscillator.x = new double[oscillator.size = size];
if(size>1)
oscillator.r = new double[size - 1];
for(int t = 0; t<size; t++)
{
oscillator.x[t] = x[t] - c - r*t;
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static boolean removeLinearTrend( double[] array, double timestep ) {\r\n if ((array == null) || (array.length == 0) ||\r\n (Math.abs(timestep - 0.0) < OPS_EPSILON)) {\r\n return false;\r\n }\r\n int len = array.length;\r\n double[] t... | [
"0.5592576",
"0.5246531",
"0.51622653",
"0.47355467",
"0.47331023",
"0.46588823",
"0.46109483",
"0.45942107",
"0.4569927",
"0.4534085",
"0.44513577",
"0.4449001",
"0.4400845",
"0.434282",
"0.4329999",
"0.4318406",
"0.43067905",
"0.43048805",
"0.42989022",
"0.428638",
"0.42818... | 0.597564 | 0 |
Create a new historical series from this one by taking the logarithm of prices. The log returns of the new series are identical to those of the original series and equal the differences for the new series. | public Series logarithmic()
{
Series logarithmic = new Series();
logarithmic.x = new double[logarithmic.size = size];
logarithmic.r = r;
for(int t = 0; t<size; t++)
logarithmic.x[t] = Math.log(x[t]);
return logarithmic;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setHistoryPrice(BigDecimal historyPrice) {\n this.historyPrice = historyPrice;\n }",
"public ArrayList<History> getPriceHistory() { return priceHistory; }",
"public BigDecimal getHistoryPrice() {\n return historyPrice;\n }",
"public static double sumInLogDomain(double[] logs) ... | [
"0.56701726",
"0.53513",
"0.534101",
"0.5295705",
"0.5287103",
"0.5275227",
"0.5236696",
"0.52333117",
"0.5215374",
"0.5162313",
"0.5141226",
"0.5138028",
"0.512332",
"0.5031366",
"0.4976179",
"0.49663207",
"0.4875819",
"0.48569795",
"0.4848211",
"0.48299852",
"0.48278138",
... | 0.681108 | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.