Simple Sudoku solver.
[pseudoku.git] / pseudoku.py
1 from weakref import proxy
2
3 symbols = [str(x + 1) for x in range(9)] + [chr(x + 97) for x in xrange(26)]
4
5
6 class CellGroup(object):
7 """Represents any group of cells in a grid."""
8
9 ### Accessors
10
11 cells = []
12
13 ### Methods
14 # XXX inherited __init__
15
16 def find_value(self, value):
17 """Returns the cells that can be a specific value."""
18 possible_cells = []
19 for cell in self.cells:
20 if value in cell._values:
21 possible_cells.append(cell)
22
23 if len(possible_cells) == 0:
24 raise Exception # XXX
25
26 return possible_cells
27
28 def resolve_uniques(self):
29 for value in xrange(self._grid._size):
30 # XXX cache values that are taken care of
31 possible_cells = self.find_value(value)
32
33 if len(possible_cells) > 1:
34 # Not unique
35 continue
36
37 target_cell = possible_cells[0]
38 if target_cell.solved:
39 # Already seen this
40 # XXX this is what cache is for
41 continue
42
43 # Only cell in the group that can be value
44 target_cell.set(value)
45
46
47 class Box(CellGroup):
48 def _get_box_row(self):
49 return self._pos // self._grid._box_width
50 box_row = property(_get_box_row)
51
52 def _get_box_column(self):
53 return self._pos % self._grid._box_height
54 box_column = property(_get_box_column)
55
56 def _get_cells(self):
57 # XXX generator + docstring
58 cells = []
59 for row in xrange(self._grid._box_height):
60 for col in xrange(self._grid._box_width):
61 cell_row = row + self.box_row * self._grid._box_height
62 cell_col = col + self.box_column * self._grid._box_width
63 cells.append(self._grid.cell(cell_row, cell_col))
64 return cells
65 cells = property(_get_cells)
66
67 def __init__(self, grid, position):
68 self._grid = proxy(grid)
69 self._pos = position
70
71
72 class Row(CellGroup):
73 def _get_cells(self):
74 # XXX generator + docstring
75 cells = []
76 for col in xrange(self._grid._size):
77 cells.append(self._grid.cell(self._pos, col))
78 return cells
79 cells = property(_get_cells)
80
81 def __init__(self, grid, position):
82 self._grid = proxy(grid)
83 self._pos = position
84
85
86 class Column(CellGroup):
87 def _get_cells(self):
88 # XXX generator + docstring
89 cells = []
90 for row in xrange(self._grid._size):
91 cells.append(self._grid.cell(row, self._pos))
92 return cells
93 cells = property(_get_cells)
94
95 def __init__(self, grid, position):
96 self._grid = proxy(grid)
97 self._pos = position
98
99
100 class Cell(object):
101 """Represents a single cell/value within a sudoku grid."""
102
103 ### Accessors
104
105 def _get_solved(self):
106 """True iff this cell has been solved."""
107 return len(self._values) == 1
108 solved = property(_get_solved)
109
110 def _get_value(self):
111 """Returns this cell's value, if it has one known."""
112 if self.solved:
113 return self._values[0]
114 return None
115 value = property(_get_value)
116
117 def _get_row(self):
118 """Returns the Row object associated with this cell."""
119 return self._grid._rows[self._row]
120 row = property(_get_row)
121
122 def _get_column(self):
123 """Returns the Column object associated with this cell."""
124 return self._grid._columns[self._col]
125 column = property(_get_column)
126
127 def _get_box(self):
128 """Returns the Box object associated with this cell."""
129 # Some actual math required here!
130 # Row 0..2 -> box 0..2
131 # Col 0..2 -> box 0, 3, 6 (box col 0)
132 box_row = self._row // self._grid._box_height
133 box_col = self._col // self._grid._box_width
134 box_idx = box_row * self._grid._box_height + box_col
135 return self._grid._boxes[box_idx]
136 box = property(_get_box)
137
138 def __init__(self, grid, row, column):
139 self._grid = proxy(grid)
140 self._row = row
141 self._col = column
142 self._values = range(self._grid.size)
143 self._normalized = False
144
145 def set_naively(self, value):
146 """Sets the value of this cell, WITHOUT eliminating the value from
147 every other cell in its row/column/box.
148 """
149
150 self._values = [value]
151
152 def set(self, value):
153 """Sets the value of this cell and adjusts the grid accordingly."""
154 self.set_naively(value)
155 self._normalized = False
156 self.normalize()
157
158
159
160 def normalize(self):
161 """Checks to see if this cell has only one possible value left. If
162 so, sets that as its value and eliminates it from every related cell.
163 This method is exhaustive; that repeated calls should have no effect.
164 """
165
166 if self._normalized:
167 # Already done
168 return
169
170 # Set this now just in case of infinite looping
171 self._normalized = True
172
173 if not self.solved:
174 # Don't know the value yet
175 return
176
177 # Elimination time
178 for group_type in 'row', 'column', 'box':
179 group = getattr(self, group_type)
180 for cell in group.cells:
181 if cell == self:
182 continue
183 cell.eliminate(self.value)
184
185
186 def eliminate(self, value):
187 """Eliminates the given value as a possibility for this cell."""
188 if value in self._values:
189 self._values.remove(value)
190
191 if len(self._values) == 0:
192 # XXX give me a real exception here
193 raise Exception
194
195 self._normalized = False
196 self.normalize()
197
198
199 def __str__(self):
200 """Stringification for pretty-printing."""
201 if self.value != None:
202 return symbols[self.value]
203
204 return '.'
205
206
207
208
209 class Grid(object):
210 """Represents a Sudoku grid."""
211
212 ### Utilities
213
214 def _cellidx(self, row, col):
215 """Hashes a row and column into a flat array index."""
216 return row * self._size + col
217
218 ### Accessors
219
220 def _get_box_height(self):
221 return self._box_height
222 box_height = property(_get_box_height)
223
224 def _get_box_width(self):
225 return self._box_width
226 box_width = property(_get_box_width)
227
228 def _get_size(self):
229 return self._size
230 size = property(_get_size)
231
232 def _get_cell_groups(self):
233 return self._rows + self._columns + self._boxes
234 cell_groups = property(_get_cell_groups)
235
236 ### Methods
237
238 def __init__(self, box_height=3, box_width=None):
239 if not box_width:
240 box_width = box_height
241
242 self._box_height = box_height
243 self._box_width = box_width
244 self._size = box_height * box_width
245
246 self._rows = [Row(self, i) for i in xrange(self._size)]
247 self._columns = [Column(self, i) for i in xrange(self._size)]
248 self._boxes = [Box(self, i) for i in xrange(self._size)]
249
250 self._cells = range(self._size ** 2)
251 for row in xrange(self._size):
252 for col in xrange(self._size):
253 self._cells[self._cellidx(row, col)] \
254 = Cell(self, row, col)
255
256 def from_lists(self, *rows):
257 for row in xrange(self._size):
258 for col in xrange(self._size):
259 value = rows[row][col]
260 if not value:
261 continue
262 self.cell(row, col).set_naively(value - 1)
263
264
265 def cell(self, row, column):
266 return self._cells[self._cellidx(row, column)]
267
268
269 ### Solving
270
271 def check(self):
272 """Returns True iff the grid is solved. Raises an exception if an
273 integrity problem is found, such as a value appearing twice in a row.
274 """
275 # TODO
276 return None
277
278 def solve(self):
279 """Attempts to solve the grid."""
280 # XXX track how many cells are changed and repeat as appropriate
281
282 # Step 0: Normalize cells, i.e. find any that can only be one value
283 self.normalize_cells()
284
285 # Step 1: Find values that can only go in one cell in a group
286 for group in self.cell_groups:
287 group.resolve_uniques()
288
289
290 def normalize_cells(self):
291 """Normalizes every cell in the grid."""
292 for cell in self._cells:
293 cell.normalize()
294
295
296 def __str__(self):
297 """Pretty-printing."""
298 divider = '+'
299 for box in xrange(self._box_height):
300 for col in xrange(self._box_width):
301 divider += '-'
302 divider += '+'
303
304 res = ''
305 for row in xrange(self._size):
306 if row % self._box_height == 0:
307 res += divider
308 res += "\n"
309
310 for col in xrange(self._size):
311 if col % self._box_width == 0:
312 res += '|'
313 res += str(self.cell(row, col))
314
315 res += '|'
316 res += "\n"
317
318 res += divider
319 res += "\n"
320
321 return res
322
323
324
325 grid = Grid(3, 3)
326 grid.from_lists(
327 [ 0, 0, 0, 6, 9, 0, 0, 0, 0 ],
328 [ 9, 0, 5, 0, 0, 8, 7, 6, 0 ],
329 [ 0, 0, 4, 0, 0, 1, 0, 2, 0 ],
330 [ 6, 0, 0, 0, 5, 0, 0, 0, 3 ],
331 [ 3, 8, 0, 0, 0, 0, 0, 4, 9 ],
332 [ 7, 0, 0, 0, 3, 0, 0, 0, 2 ],
333 [ 0, 7, 0, 9, 0, 0, 3, 0, 0 ],
334 [ 0, 2, 3, 1, 0, 0, 4, 0, 8 ],
335 [ 0, 0, 0, 0, 8, 3, 0, 0, 0 ],
336 )
337
338 print grid
339
340 grid.solve()
341
342 print grid