python深度搜索+命令模式 解数独:
- 先按照“行、列、组”三个约束来限定单元格的可选值,如果可选值只剩下一个就确定,直到找不到只有一个值的单元格。
- 检查是否出现了某个单元格可选值为空,表示猜测的值不正确,就尝试下一个可选值。
- 采用了命令模式(Command Design Pattern)记录每次变更,如果搜索失败就调用undo回滚。
python深度搜索+命令模式 解数独代码片段
- [代码]解数独
def flatten(nested_list):
for value in nested_list:
if isinstance(value, list):
for nested_value in flatten(value):
yield nested_value
else:
yield value
Python资源分享qun 784758214 ,内有安装包,PDF,学习视频,这里是Python学习者的聚集地,零基础,进阶,都欢迎
def some(nested_list, fn):
for value in flatten(nested_list):
if fn(value):
return value
return None
class Cell(set):
def __init__(self, y, x):
self.marked = False
self.y = y
self.x = x
self.update(range(1, 10))
def is_explicit(self):
return len(self) == 1
def mark(self, value):
self.marked = True
self.clear()
self.add(value)
def set(self, values):
self.marked = False
self.clear()
self.update(values)
def value(self):
return next(iter(self))
def __str__(self):
size = len(self)
if size == 0:
return 'X'
elif size == 1:
return str(self.value())
else:
return '?'
class Table:
def __init__(self):
self.values = [[Cell(y, x) for x in xrange(9)] for y in xrange(9)]
def is_valid(self):
return all(flatten(self.values))
def is_finished(self):
return all([e.is_explicit() for e in flatten(self.values)])
def first_implicit(self):
return some(self.values, lambda e: not e.is_explicit())
def first_explicit(self):
return some(self.values, lambda e: not e.marked and e.is_explicit())
def get_neighbors(self, y, x):
neighbors = []
# horizontal
neighbors.extend([self.values[y][c] for c in xrange(9) if c != x and not self.values[y][c].marked])
# vertical
neighbors.extend([self.values[r][x] for r in xrange(9) if r != y and not self.values[r][x].marked])
# box
start_x = x / 3 * 3
start_y = y / 3 * 3
for r in range(start_y, start_y + 3):
for c in range(start_x, start_x + 3):
if r != y and c != x and not self.values[r][c].marked:
neighbors.append(self.values[r][c])
return neighbors
def __str__(self):
return '\n'.join([' '.join(str(c) for c in r) for r in self.values])
class Command:
def __init__(self, table, y, x, value):
self.table = table
self.y = y
self.x = x
self.value = value
self.cell = table.values[y][x].copy()
self.queue = []
self.executed = False
def redo(self):
if self.executed:
return
else:
self.executed = True
self.queue = []
for cell in self.table.get_neighbors(self.y, self.x):
if self.value in cell:
cell.remove(self.value)
self.queue.append(cell)
self.table.values[self.y][self.x].mark(self.value)
def undo(self):
if self.executed:
self.executed = False
else:
return
for cell in self.queue:
cell.add(self.value)
self.table.values[self.y][self.x].set(self.cell)
class Sudoku:
def __init__(self):
self.table = Table()
self.queue = []
def push(self, y, x, value):
cmd = Command(self.table, y, x, value)
cmd.redo()
self.queue.append(cmd)
def pop(self):
cmd = self.queue.pop()
cmd.undo()
def load(self, matrix):
for y, line in zip(range(9), matrix.strip().split('\n')):
for
2000
x, value in zip(range(9), line.strip().split(' ')):
if value != '?':
self.push(y, x, int(value))
self.derive()
def derive(self):
count = 0
while True:
cell = self.table.first_explicit()
if cell:
self.push(cell.y, cell.x, cell.value())
count += 1
else:
return count
def revert(self, deep):
for i in xrange(-1, deep):
self.pop()
def bfs(self):
cell = self.table.first_implicit()
for value in cell.copy():
self.push(cell.y, cell.x, value)
deep = self.derive()
if self.table.is_finished():
return True
elif not self.table.is_valid():
self.revert(deep)
else:
result = self.bfs()
if result:
return True
else:
self.revert(deep)
return False
def __str__(self):
return str(self.table)
puzzle = '''
? ? ? ? ? 7 ? 8 2
5 ? 7 ? ? ? 4 ? ?
? ? ? 2 5 ? ? ? ?
8 ? 9 1 7 ? ? ? ?
? 7 ? 5 ? 3 6 ? 8
? 5 3 ? ? ? ? 9 1
2 ? ? ? ? ? 3 ? 6
? ? ? 3 ? 2 ? ? ?
? 8 5 ? 6 ? ? ? ?
'''
sudoku = Sudoku()
sudoku.load(puzzle)
sudoku.bfs()
print sudoku
9 6 1 4 3 7 5 8 2
5 2 7 6 1 8 4 3 9
4 3 8 2 5 9 1 6 7
8 4 9 1 7 6 2 5 3
1 7 2 5 9 3 6 4 8
6 5 3 8 2 4 7 9 1
2 1 4 9 8 5 3 7 6
7 9 6 3 4 2 8 1 5
3 8 5 7 6 1 9 2 4
Python资源分享qun 784758214 ,内有安装包,PDF,学习视频,这里是Python学习者的聚集地,零基础,进阶,都欢迎
网友评论