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// This function calculates the score for a move, if the move is a legal play. // If the move is not legal, return -1. int CalculateScore(int row, int col, PlayType direction, array<Tile^, 2>^ newBoard) { int cumScore = 0; PlayType crossDirection; int wordScore = 0; bool letterBonus = false; bool wordBonus = false; int letterMultiplier = 1; int wordMultiplier = 1; bool isLegalMove = false; int tilesPlayed = 0; if (direction == PlayType::Down) { crossDirection = PlayType::Across; // Find the start of the word being made in the main direction. while (row >= 0 && newBoard[row, col] != nullptr) { row--; } // We overshoot, so now back off by one. row++; } else // PlayType::Across { crossDirection = PlayType::Down; while (col >= 0 && newBoard[row, col] != nullptr) { col--; } // We overshoot, so back off by one. col++; } while ( row < BOARD_SIZE && col < BOARD_SIZE && newBoard[row, col] != nullptr) { if (moveNum == 0 && row == 7 && col == 7) { isLegalMove = true; } letterMultiplier = 1;

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Home > Java Barcode Generator > Java Barcode Generation Guide > Java GS1 - 128 (UCC/ EAN - 128 ) Barcode Generator. ... UCC/ EAN - 128 has a list of Application Identifiers (AI). ... How to encode UCC/ EAN - 128 values using Barcode Library.

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BLEVEL AVG_LEAF_BLOCKS_PER_KEY AVG_DATA_BLOCKS_PER_KEY ---------- ----------------------- ----------------------2 44 246 The cost of the index line is blevel + avg_leaf_blocks_per_key 1 The incremental cost of the table line is avg_data_blocks_per_key In the special case of a join that uses equality on the entire index, the optimizer changes its cost calculation to use the precalculated values stored in the user_indexes view (although I cannot explain the appearance of that minus 1 ) And, as we saw in 6, these values are based on knowing the actual number of distinct keys, rather than multiplying together the individual selectivities of the column involved So, in theory, this should give us a more realistic value for the cost of the join.

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Unfortunately, the calculation of cardinality in this example did not use the same option (although, as we saw in 10, 10g does have a sanity check based on concatenated index cardinality that sometimes comes into play), so there is a serious discrepancy between the cost and the cardinality In a more complex case, this discrepancy could encourage the optimizer to put this pair of tables at a very early point in an execution plan it seems to get a small number of rows, and they are expensive rows Since the actual number of rows is much larger than the optimizer has estimated, the knock-on effects further down the plan could be resource-intensive at run time In principle, of course, although this particular special case ought to be beneficial, it does have an interesting, and sometimes painful, side effect.

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// If the old gameboard space here was empty, // look at the space below the tile. if (gameBoard[row, col] == nullptr) { tilesPlayed++; switch (spaces[row, col]) { case SpaceType::DLS: letterBonus = true; letterMultiplier = 2; break; case SpaceType::Center: case SpaceType::DWS: wordBonus = true; wordMultiplier = 2; break; case SpaceType::TLS: letterBonus = true; letterMultiplier = 3; break; case SpaceType::TWS: wordBonus = true; wordMultiplier = 3; break; default: break; } // Identify any cross-words by moving backward to the // first nonempty space. int rowCrossBegin = row; int colCrossBegin = col; int rowCross = row; int colCross = col; int crossScore = 0; if (crossDirection == PlayType::Down) { while ( rowCrossBegin >= 0 && newBoard[rowCrossBegin, colCrossBegin] != nullptr) { rowCrossBegin--; } rowCrossBegin++; // Increment to beginning of word. }

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