結果

問題 No.417 チューリップバブル
ユーザー vwxyzvwxyz
提出日時 2022-05-04 02:45:22
言語 PyPy3
(7.3.15)
結果
AC  
実行時間 1,253 ms / 2,000 ms
コード長 6,631 bytes
コンパイル時間 178 ms
コンパイル使用メモリ 82,048 KB
実行使用メモリ 77,568 KB
最終ジャッジ日時 2024-07-03 02:45:07
合計ジャッジ時間 16,399 ms
ジャッジサーバーID
（参考情報） 		judge2 / judge4
このコードへのチャレンジ
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テストケース

テストケース表示
入力 結果 実行時間
実行使用メモリ
testcase_00 AC 50 ms
61,312 KB
testcase_01 AC 46 ms
60,032 KB
testcase_02 AC 48 ms
61,184 KB
testcase_03 AC 46 ms
60,544 KB
testcase_04 AC 39 ms
53,120 KB
testcase_05 AC 40 ms
52,736 KB
testcase_06 AC 48 ms
62,208 KB
testcase_07 AC 46 ms
61,312 KB
testcase_08 AC 62 ms
62,208 KB
testcase_09 AC 75 ms
62,464 KB
testcase_10 AC 84 ms
63,360 KB
testcase_11 AC 215 ms
63,488 KB
testcase_12 AC 208 ms
64,000 KB
testcase_13 AC 108 ms
63,872 KB
testcase_14 AC 316 ms
64,640 KB
testcase_15 AC 74 ms
62,976 KB
testcase_16 AC 73 ms
62,592 KB
testcase_17 AC 206 ms
67,584 KB
testcase_18 AC 200 ms
64,768 KB
testcase_19 AC 200 ms
64,768 KB
testcase_20 AC 624 ms
67,712 KB
testcase_21 AC 607 ms
68,096 KB
testcase_22 AC 617 ms
67,968 KB
testcase_23 AC 623 ms
67,456 KB
testcase_24 AC 46 ms
54,144 KB
testcase_25 AC 620 ms
68,096 KB
testcase_26 AC 104 ms
63,616 KB
testcase_27 AC 443 ms
66,304 KB
testcase_28 AC 612 ms
67,712 KB
testcase_29 AC 608 ms
67,712 KB
testcase_30 AC 613 ms
67,968 KB
testcase_31 AC 607 ms
67,968 KB
testcase_32 AC 43 ms
52,736 KB
testcase_33 AC 66 ms
61,440 KB
testcase_34 AC 168 ms
64,384 KB
testcase_35 AC 1,224 ms
77,260 KB
testcase_36 AC 1,210 ms
77,056 KB
testcase_37 AC 1,253 ms
77,440 KB
testcase_38 AC 1,239 ms
77,568 KB
testcase_39 AC 1,236 ms
77,428 KB
権限があれば一括ダウンロードができます

ソースコード

diff # 

import sys
readline=sys.stdin.readline

class Graph:
    def __init__(self,V,edges=False,graph=False,directed=False,weighted=False,inf=float("inf")):
        self.V=V
        self.directed=directed
        self.weighted=weighted
        self.inf=inf
        if graph:
            self.graph=graph
            self.edges=[]
            for i in range(self.V):
                if self.weighted:
                    for j,d in self.graph[i]:
                        if self.directed or not self.directed and i<=j:
                            self.edges.append((i,j,d))
                else:
                    for j in self.graph[i]:
                        if self.directed or not self.directed and i<=j:
                            self.edges.append((i,j))
        else:
            self.edges=edges
            self.graph=[[] for i in range(self.V)]
            if weighted:
                for i,j,d in self.edges:
                    self.graph[i].append((j,d))
                    if not self.directed:
                        self.graph[j].append((i,d))
            else:
                for i,j in self.edges:
                    self.graph[i].append(j)
                    if not self.directed:
                        self.graph[j].append(i)

    def SIV_DFS(self,s,bipartite_graph=False,cycle_detection=False,directed_acyclic=False,euler_tour=False,linked_components=False,lowlink=False,parents=False,postorder=False,preorder=False,subtree_size=False,topological_sort=False,unweighted_dist=False,weighted_dist=False):
        seen=[False]*self.V
        finished=[False]*self.V
        if directed_acyclic or cycle_detection or topological_sort:
            dag=True
        if euler_tour:
            et=[]
        if linked_components:
            lc=[]
        if lowlink:
            order=[None]*self.V
            ll=[None]*self.V
            idx=0
        if parents or cycle_detection or lowlink or subtree_size:
            ps=[None]*self.V
        if postorder or topological_sort:
            post=[]
        if preorder:
            pre=[]
        if subtree_size:
            ss=[1]*self.V
        if unweighted_dist or bipartite_graph:
            uwd=[self.inf]*self.V
            uwd[s]=0
        if weighted_dist:
            wd=[self.inf]*self.V
            wd[s]=0
        stack=[(s,0)] if self.weighted else [s]
        while stack:
            if self.weighted:
                x,d=stack.pop()
            else:
                x=stack.pop()
            if not seen[x]:
                seen[x]=True
                stack.append((x,d) if self.weighted else x)
                if euler_tour:
                    et.append(x)
                if linked_components:
                    lc.append(x)
                if lowlink:
                    order[x]=idx
                    ll[x]=idx
                    idx+=1
                if preorder:
                    pre.append(x)
                for y in self.graph[x]:
                    if self.weighted:
                        y,d=y
                    if not seen[y]:
                        stack.append((y,d) if self.weighted else y)
                        if parents or cycle_detection or lowlink or subtree_size:
                            ps[y]=x
                        if unweighted_dist or bipartite_graph:
                            uwd[y]=uwd[x]+1
                        if weighted_dist:
                            wd[y]=wd[x]+d
                    elif not finished[y]:
                        if (directed_acyclic or cycle_detection or topological_sort) and dag:
                            dag=False
                            if cycle_detection:
                                cd=(y,x)
            elif not finished[x]:
                finished[x]=True
                if euler_tour:
                    et.append(~x)
                if lowlink:
                    bl=True
                    for y in self.graph[x]:
                        if self.weighted:
                            y,d=y
                        if ps[x]==y and bl:
                            bl=False
                            continue
                        ll[x]=min(ll[x],order[y])
                    if x!=s:
                        ll[ps[x]]=min(ll[ps[x]],ll[x])
                if postorder or topological_sort:
                    post.append(x)
                if subtree_size:
                    for y in self.graph[x]:
                        if self.weighted:
                            y,d=y
                        if y==ps[x]:
                            continue
                        ss[x]+=ss[y]
        if bipartite_graph:
            bg=[[],[]]
            for tpl in self.edges:
                x,y=tpl[:2] if self.weighted else tpl
                if uwd[x]==self.inf or uwd[y]==self.inf:
                    continue
                if not uwd[x]%2^uwd[y]%2:
                    bg=False
                    break
            else:
                for x in range(self.V):
                    if uwd[x]==self.inf:
                        continue
                    bg[uwd[x]%2].append(x)
        retu=()
        if bipartite_graph:
            retu+=(bg,)
        if cycle_detection:
            if dag:
                cd=[]
            else:
                y,x=cd
                cd=self.Route_Restoration(y,x,ps)
            retu+=(cd,)
        if directed_acyclic:
            retu+=(dag,)
        if euler_tour:
            retu+=(et,)
        if linked_components:
            retu+=(lc,)
        if lowlink:
            retu=(ll,)
        if parents:
            retu+=(ps,)
        if postorder:
            retu+=(post,)
        if preorder:
            retu+=(pre,)
        if subtree_size:
            retu+=(ss,)
        if topological_sort:
            if dag:
                tp_sort=post[::-1]
            else:
                tp_sort=[]
            retu+=(tp_sort,)
        if unweighted_dist:
            retu+=(uwd,)
        if weighted_dist:
            retu+=(wd,)
        if len(retu)==1:
            retu=retu[0]
        return retu

N,M=map(int,readline().split())
M//=2
U=[int(readline()) for i in range(N)]
edges=[]
for _ in range(N-1):
    A,B,C=map(int,readline().split())
    edges.append((A,B,C))
dp=[[0]*(M+1) for x in range(N)]
G=Graph(N,edges=edges,weighted=True)
parents,tour=G.SIV_DFS(0,parents=True,postorder=True)
for x in tour:
    dp[x][0]=U[x]
    for y,d in G.graph[x]:
        if y==parents[x]:
            continue
        for i in range(M-d,-1,-1):
            for j in range(0,M-d-i+1):
                dp[x][i+j+d]=max(dp[x][i+j+d],dp[x][i]+dp[y][j])
ans=max(dp[0])
print(ans)
0