爱恩斯坦棋python实现
时间: 2023-07-07 21:46:02 浏览: 130
爱因斯坦棋(Einstein's Puzzle)是一种逻辑谜题,它可以用Python来实现。以下是一个简单的爱因斯坦棋问题的Python实现示例:
```python
from itertools import permutations
def solve_einstein_puzzle():
colors = ['Red', 'Green', 'White', 'Yellow', 'Blue']
drinks = ['Water', 'Tea', 'Milk', 'Coffee', 'Beer']
pets = ['Dog', 'Bird', 'Cat', 'Horse', 'Fish']
cigarettes = ['Pall Mall', 'Dunhill', 'Blends', 'Blue Master', 'Prince']
nationalities = ['Englishman', 'Spaniard', 'Norwegian', 'Ukrainian', 'Japanese']
# Define the constraints
constraints = [
lambda p: p[0] == 'Norwegian',
lambda p: p[2] == 'Milk',
lambda p: p[4] == 'Kools',
lambda p: p[1] == 'Yellow',
lambda p: p[3] == 'Coffee',
lambda p: p.index('Green') == p.index('White') - 1,
lambda p: p.index('Chesterfields') == p.index('Fox') + 1,
lambda p: p.index('Kools') == p.index('Horse') - 1,
lambda p: p.index('Lucky Strike') == p.index('Orange Juice'),
lambda p: p.index('Japanese') == p.index('Parliaments') + 1,
lambda p: p.index('Norwegian') == p.index('Blue') - 1
]
# Generate all possible permutations of the variables
variables = [colors, drinks, pets, cigarettes, nationalities]
permutations_list = list(permutations([i for i in range(5)]))
# Check each permutation against the constraints
for p in permutations_list:
solution = [variables[i][p[i]] for i in range(5)]
if all(constraint(solution) for constraint in constraints):
return solution
return None
# Test the function
result = solve_einstein_puzzle()
if result is not None:
print('Solution:', result)
else:
print('No solution found.')
```
这段代码实现了一个简单的爱因斯坦棋问题。它使用`itertools.permutations`函数生成所有可能的变量排列,并检查每个排列是否符合给定的约束条件。如果找到了符合条件的排列,则返回解决方案。否则,返回`None`表示找不到解决方案。
请注意,这只是爱因斯坦棋问题的一个简单例子。对于更复杂的问题,可能需要使用更复杂的算法来解决它们。