Leetcode 332 - Reconstruct Itinerary

이두현·2021년 12월 29일
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Leetcode 78

언어: python3

class Solution:
    def findItinerary(self, tickets: List[List[str]]) -> List[str]:
        graph = collections.defaultdict(list)
        for src,dest in tickets:
            if graph[src]:  # if not empty
                graph[src].append(dest)
            else:
                graph[src] = [dest]
        current = "JFK"
        itinerary = []
        
        def dfs(current:str,path:List[str]):
            if len(tickets) ==0 : # ending condition
                itinerary.append(path[:])
                return
            dests = graph[current]   # dests is an array containing possible destinations
            
            if len(dests)==1:
                if [current,dests[0]] not in tickets:
                    return
                path.append(dests[0])
                tickets.remove([current,dests[0]])
                
                dfs(dests[0],path[:])
                tickets.append([current,dests[0]])
                return
            
            for dest in dests:
                if [current,dest] not in tickets:
                    continue
                else:
                    path.append(dest)
                    tickets.remove([current,dest])
                    dfs(dest,path[:])
                    tickets.append([current,dest])
                    path.pop()
                
        dfs("JFK",["JFK"])
        itinerary = sorted(itinerary)
        print(itinerary)
        return itinerary[0]
            
  • 위의 방법으로 한 결과 timeout 발생

  • 모든 itinerary 구한 후 다시 sorting 한 원인이라고 생각됨

    working solution

    class Solution:
      def findItinerary(self, tickets: List[List[str]]) -> List[str]:
          graph = collections.defaultdict(list)
          for src,dest in sorted(tickets,reverse=True): # we want sorted order
              if graph[src]:  # if not empty
                  graph[src].append(dest)
              else:
                  graph[src] = [dest]
          current = "JFK"
          itinerary = []
          
          def dfs(current):
              while graph[current]:
                  dfs(graph[current].pop())
              itinerary.append(current) # this will be added in reverse order
          
          dfs(current)
          return itinerary[::-1] # return result in reversed order
  • 아직 확실히 이해 못해서 다시 봐야 함

  • 위의 조건만으로 모든 경우를 탐색할 수 있는 이유?

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