結果

問題 No.1390 Get together
ユーザー vwxyzvwxyz
提出日時 2022-05-29 19:57:17
言語 Python3
(3.12.2 + numpy 1.26.4 + scipy 1.12.0)
結果
AC  
実行時間 1,673 ms / 2,000 ms
コード長 7,046 bytes
コンパイル時間 3,275 ms
コンパイル使用メモリ 12,396 KB
実行使用メモリ 121,896 KB
最終ジャッジ日時 2023-10-21 00:10:58
合計ジャッジ時間 28,315 ms
ジャッジサーバーID
(参考情報)
judge9 / judge10
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 33 ms
10,688 KB
testcase_01 AC 32 ms
10,688 KB
testcase_02 AC 32 ms
10,688 KB
testcase_03 AC 54 ms
13,024 KB
testcase_04 AC 49 ms
12,556 KB
testcase_05 AC 51 ms
12,744 KB
testcase_06 AC 54 ms
12,736 KB
testcase_07 AC 52 ms
12,700 KB
testcase_08 AC 51 ms
12,640 KB
testcase_09 AC 57 ms
13,300 KB
testcase_10 AC 32 ms
10,688 KB
testcase_11 AC 32 ms
10,688 KB
testcase_12 AC 32 ms
10,688 KB
testcase_13 AC 33 ms
10,688 KB
testcase_14 AC 32 ms
10,688 KB
testcase_15 AC 31 ms
10,688 KB
testcase_16 AC 1,454 ms
121,884 KB
testcase_17 AC 1,493 ms
121,896 KB
testcase_18 AC 1,290 ms
117,276 KB
testcase_19 AC 1,568 ms
116,728 KB
testcase_20 AC 1,641 ms
119,752 KB
testcase_21 AC 1,656 ms
119,624 KB
testcase_22 AC 1,590 ms
117,560 KB
testcase_23 AC 1,601 ms
117,420 KB
testcase_24 AC 1,527 ms
117,424 KB
testcase_25 AC 1,591 ms
116,976 KB
testcase_26 AC 1,581 ms
117,020 KB
testcase_27 AC 1,602 ms
117,048 KB
testcase_28 AC 1,581 ms
116,992 KB
testcase_29 AC 1,584 ms
117,012 KB
testcase_30 AC 1,589 ms
117,052 KB
testcase_31 AC 1,673 ms
116,976 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 MIV_DFS(self,initial_vertices=None,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):
        if initial_vertices==None:
            initial_vertices=[s for s in range(self.V)]
        seen=[False]*self.V
        finished=[False]*self.V
        if bipartite_graph:
            bg=[None]*self.V
            cnt=-1
        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 bipartite_graph or unweighted_dist:
            uwd=[self.inf]*self.V
        if weighted_dist:
            wd=[self.inf]*self.V
        for s in initial_vertices:
            if seen[s]:
                continue
            if bipartite_graph:
                cnt+=1
                bg[s]=(cnt,0)
            if linked_components:
                lc.append([])
            if bipartite_graph or unweighted_dist:
                uwd[s]=0
            if weighted_dist:
                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[-1].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 bipartite_graph:
                                bg[y]=(cnt,bg[x][1]^1)
                            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 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_=bg
            bg=[[[],[]] for i in range(cnt+1)]
            for tpl in self.edges:
                i,j=tpl[:2] if self.weighted else tpl
                if not bg_[i][1]^bg_[j][1]:
                    bg[bg_[i][0]]=False
            for x in range(self.V):
                if bg[bg_[x][0]]:
                    bg[bg_[x][0]][bg_[x][1]].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())
edges=[]
for _ in range(N):
    b,c=map(int,readline().split())
    b-=1;c-=1
    c+=M
    edges.append((b,c))
ans=M
G=Graph(N+M,edges=edges)
for lst in G.MIV_DFS(linked_components=True):
    if any(x<M for x in lst):
        ans-=1
print(ans)
0