Python中的递归,从每个循环中创建几个新实例



我遇到了一个问题,因为我有一个包含类对象的字典,它引用了一个或多个项。字典的关键字是每一项的id。我正在尝试设置一个递归函数,用于查找x步的相邻项目ID链。

它是有效的,但前提是每个"项目"中只有一个项目;adjacent_ items"-变量如果有更多,它仍然只抓住第一个并继续前进;7〃;永远不会被处理。

我对递归函数很陌生,但我觉得应该有一种有效的方法,所以用递归来解决这个问题。任何意见都将不胜感激。

class Item:
def __init__(self, id_num: str, adjacent: list):
self.id = id_num
self.adjacent_items = adjacent

def get_adjacent_x_steps(start: str, item_dict: dict, x: int, wip_set=None):
"""Get adjacent items for x steps"""
if wip_set is None:
wip_set = set()
if x != 0:
x -= 1
for item in item_dict[start].adjacent_items:
wip_set.add(item)
# Todo, only takes first hit, return exits this instance..
return get_adjacent_x_steps(item, item_dict, x, wip_set)
else:
return wip_set

def example():
"""Example items"""
item1 = Item("1", ["4", "7"])
item2 = Item("4", ["5"])
item3 = Item("7", ["5"])
item4 = Item("5", ["8", "17"])
item_dict = {}
for item in (item1, item2, item3, item4):
item_dict[item.id] = item
chained_items = get_adjacent_x_steps("1", item_dict, 2)
print(chained_items)

if __name__ == '__main__':
example()

尝试以下操作:

class Item:
def __init__(self, id_num: str, adjacent: list):
self.id = id_num
self.adjacent_items = adjacent
def get_adjacent_x_steps(start, item_dict, x):
if x == 0 or start not in item_dict:
return [[]]
return [[adj, *lst]
for adj in item_dict[start].adjacent_items
for lst in get_adjacent_x_steps(adj, item_dict, x - 1)]
item1 = Item("1", ["4", "7"])
item2 = Item("4", ["5"])
item3 = Item("7", ["5"])
item4 = Item("5", ["8", "17"])
item_dict = {i.id: i for i in (item1, item2, item3, item4)}
print(get_adjacent_x_steps('1', item_dict, 1))
print(get_adjacent_x_steps('1', item_dict, 2))
print(get_adjacent_x_steps('1', item_dict, 3))

递归发生在列表理解上;在start,获取所有相邻项(for adj in item_dict[start].adjacent_items(,并将函数应用于这些项少一步(get_adjacent_x_steps(adj, item_dict, x - 1)(。然后返回结果列表lstadj

输出:

[['4'], ['7']]
[['4', '5'], ['7', '5']]
[['4', '5', '8'], ['4', '5', '17'], ['7', '5', '8'], ['7', '5', '17']]

如果你想得到一组目的地,那么你可以在之后应用一个集合理解:

print({x[-1] for x in get_adjacent_x_steps('1', item_dict, 3)})
# {'17', '8'}

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