狼羊蔬菜过河python
时间: 2023-12-26 20:28:42 浏览: 151
以下是一个用Python解决狼羊蔬菜过河问题的例子:
```python
w = [1, 2, 3] # 西岸初始状态,0代表没有,1代表白菜,2代表羊,3代表狼
e = [0] * 3 # 东岸初始状态
li = [] # 储存每一次所带的东西
cnt = 0 # 记录农夫所在位置,单数代表西岸,双数代表东岸
# 条件处理一:农夫不在的一侧,不能同时存在狼和羊,羊和白菜。条件不成立则重新开始。
if cnt % 2 == 1 and (3 in w and 2 in w or 2 in w and 1 in w) or cnt % 2 == 0 and (3 in e and 2 in e or in e and 1 in e):
w = [1, 2, 3 e = [0] * 3
li = []
cnt = 0
```
相关问题
人狼羊菜过河 python
人狼羊菜过河是一个经典的智力游戏,玩家需要帮助一群人、一只狼、一只羊和一堆菜过河,但船只只能承载两个物品或人。同时,如果没有人看守,羊会被狼吃掉,而如果没有羊吃菜,菜也会被吃掉。因此,玩家需要想出一个方案,让所有物品和人都安全地渡河。
以下是人狼羊菜过河的 Python 实现示例:
```python
# 定义初始状态
start = {'people': 1, 'wolf': 1, 'sheep': 1, 'vegetable': 1, 'boat': 0}
# 定义目标状态
goal = {'people': 0, 'wolf': 0, 'sheep': 0, 'vegetable': 0, 'boat': 1}
# 定义移动函数
def move(state, p, q):
new_state = state.copy()
new_state['people'] -= p
new_state['wolf'] -= q
new_state['sheep'] += q
new_state['vegetable'] += p
new_state['boat'] = 1 - state['boat']
return new_state
# 定义判断函数
def is_valid(state):
if state['wolf'] == state['sheep'] and state['people'] != state['wolf']:
return False
if state['sheep'] == state['vegetable'] and state['people'] != state['sheep']:
return False
return True
# 定义搜索函数
def search(start, goal):
visited = set()
queue = [[start]]
while queue:
path = queue.pop(0)
last_state = path[-1]
if last_state == goal:
return path
for p in range(2):
for q in range(2):
if p + q == 0 or p + q == 2:
continue
new_state = move(last_state, p, q)
if is_valid(new_state) and tuple(new_state.items()) not in visited:
visited.add(tuple(new_state.items()))
new_path = path + [new_state]
queue.append(new_path)
# 运行搜索函数并输出结果
result = search(start, goal)
for state in result:
print(state)
```
人狼羊菜过河python,要求用0和1表示是否存在的状态,输出结果为展示人狼羊菜过河的过程
"人狼羊菜过河"是一个经典的逻辑谜题,通常用于讲解搜索算法,如深度优先搜索(DFS)或广度优先搜索(BFS)。在这种情况下,我们可以用Python编写一个简单的程序,用二进制位表示四种角色(人、狼、羊、菜)能否安全过河的状态。每个角色都对应二进制的一位,0代表能过,1代表不能过。
以下是简单版的Python代码示例:
```python
def move_rocks(people_wolves_rabbits_cabbages, moves):
# 初始化状态数组,全为0表示初始状态可以过河
states = [0b0000] * (1 << len(moves))
def dfs(state, index):
if index == len(moves): # 所有移动都已经处理完
return state
rock = moves[index]
if rock not in ("P", "W", "R", "C"): # 非法移动,直接返回当前状态
return state
# 计算所有可能的结果
for new_state in (state | (1 << role) for role in rock):
# 如果新的状态下所有人狼都能过河,则接受这个状态
if '1' not in str(bin(new_state)):
states.append(new_state)
dfs(new_state, index + 1)
dfs(people_wolves_rabbits_cabbages, 0)
return states
# 示例输入:人(P)、狼(W)、羊(R)、菜(C),以及一组移动记录(例如 ["PC", "RP", ...])
people_wolves_rabbits_cabbages = "PWRC"
moves = ["PC", "RP"]
result = move_rocks(int("".join(people_wolves_rabbits_cabbages), 2), 0)
for i, state in enumerate(result, start=1):
print(f"步骤 {i}: {''.join(['人狼羊菜'[bit] for bit in bin(state)[2:].zfill(4)])}")
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