這題還是挺難寫對的。經過幾番嘗試以後,發現最好理解的演算法就是先對group做一次拓撲排序。然後按group的順序,對每個group里的items的做拓撲排序。這題增加另一難點在於gorup是-1的情況。其實相當於每個-1都是自己的新group。於是大量的工作其實在建立group的dependency graph上。拓撲排序的函數可以寫一次反覆重用。Python解法如下:
class Solution:
def sortItems(self, n: int, m: int, group: List[int], beforeItems: List[List[int]]) -> List[int]:
cur_group = m + 1
for i in range(len(group)):
if group[i] == -1:
group[i] = cur_group
cur_group += 1
group_ids = set(group)
itemLevelBeforeGroups = []
for i in range(len(beforeItems)):
each_node_before_groups = [group[before] for before in beforeItems[i]]
each_node_before_groups = list(filter(lambda x: x != i, each_node_before_groups))
itemLevelBeforeGroups.append(each_node_before_groups)
# beforeGroups
beforeGroups = {g: set() for g in group}
for i in range(len(itemLevelBeforeGroups)):
beforeGroups[group[i]].update(itemLevelBeforeGroups[i])
beforeGroups[group[i]] = beforeGroups[group[i]].difference([group[i]])
# print(f'beforeGroups = {beforeGroups}')
groupToItems = {g: [] for g in group}
for i in range(len(group)):
groupToItems[group[i]].append(i)
# print(f'group to items: {groupToItems}')
cache = {}
group_order = []
itemLevelBeforeGroups
def dfs(start, cache, order, before_nodes):
# print(f'start = {start}')
if start in cache:
return cache[start]
cache[start] = False
for before in before_nodes[start]:
# print(f' before = {before}')
if not dfs(before, cache, order, before_nodes):
# print('found loop!')
return False
# print(' {before} done')
cache[start] = True
order.append(start)
return True
for g in group_ids:
if not dfs(g, cache, group_order, beforeGroups):
return []
# print(f"group_order = {group_order}")
item_order = []
item_cache = {}
for g in group_order:
for node in groupToItems[g]:
if not dfs(node, item_cache, item_order, beforeItems):
return []
# print(f"item order = {item_order}")
return item_order
本題是複合題,三個點:
1. 拓撲排序本身,然後分別用在group level和每個group的item level
2. 建立group dependency
3. handle group == -1的情況,就是給每個這種item assign新group