![]() The origin (0, 0) of the nonogram is located at the topmost leftmost of the matrix. The term cell_x and cell_y represent the location of a cell in the nonogram's matrix. We define the following Backus–Naur Form (BNF) to describe the syntax of a player's action performed on the cell of a nonogram: action ::= action_type "-" cell_x "-" cell_y "-" action_time Nonogram Analysis supports the class NonogramClues to build the clues of a nonogram.įor example: > from nonogram.analysis import NonogramClues > nonogram_clues = NonogramClues. Rows_clues ::= row_clues "," rows_clues | row_clues Row_clues ::= integer "-" row_clues | integer We define the following language, using Backus–Naur Form (BNF), to declare the clues of a nonogram: column_clues ::= integer "-" column_clues | integerĬolumns_clues ::= column_clues "," columns_clues | column_clues ![]() The clues of a nonogram indicate for each column and each row of the nonogram the length of groups of marks of a column, respectively of a row, separated with one or more blanks. ![]() Nonogram Analysis is a Python library used to score a player who has completed a nonogram. A nonogram is a puzzle game in which cells in a grid must be colored or left blank according to numbers at the side of the grid to reveal a hidden picture.
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