#878462 (Python3) No.2304 Distinct Elements

• 問題: No.2304 Distinct Elements
• ユーザー: vwxyz
• 提出日時: 2023-06-06 19:32:00
• 言語: Python3 (3.13.1 + numpy 2.2.1 + scipy 1.14.1)
• 結果: AC
• 実行時間: 1,265 ms / 3,000 ms
• コード長: 6,837 bytes
• コンパイル時間: 245 ms
• コンパイル使用メモリ: 13,440 KB
• 実行使用メモリ: 33,240 KB
• 最終ジャッジ日時: 2024-12-29 08:42:06
• 合計ジャッジ時間: 40,153 ms
• ジャッジサーバーID （参考情報）: judge2 / judge3

ファイルパターン	結果
sample	AC * 4
other	AC * 58

ソースコード

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import sys
readline=sys.stdin.readline
import heapq
from heapq import heappush,heappop,heapify,heappushpop,_heappop_max,_heapify_max
def _heappush_max(heap,item):
    heap.append(item)
    heapq._siftdown_max(heap, 0, len(heap)-1)
def _heappushpop_max(heap, item):
    if heap and item < heap[0]:
        item, heap[0] = heap[0], item
        heapq._siftup_max(heap, 0)
    return item
class Slope_Trick:
    def __init__(self,L=False,R=False,median=False,label=False,f=None,f_inve=None,e=None):
        self.queueL=[]
        self.queueR=[]
        self.L=L
        self.R=R
        self.median=median
        if self.median:
            self.median_value=None
        self.label=label
        self.shiftL=0
        self.shiftR=0
        self.min_f=0
        if self.label:
            self.f=f
            self.f_inve=f_inve
            self.e=e
            self.labelL=self.e
            self.labelR=self.e
    def heappush(self,x):
        heappush(self.queueR,x-self.shiftR)
        if self.label:
            self.labelR=self.f(self.labelR,x)
    def heappop(self):
        x=heappop(self.queueR)+self.shiftR
        if self.label:
            self.labelR=self.f_inve(self.labelR,x)
        return x
    def heappushpop(self,x):
        y=heappushpop(self.queueR,x-self.shiftR)+self.shiftR
        if self.label:
            self.labelR=self.f(self.labelR,x)
            self.labelR=self.f_inve(self.labelR,y)
        return y
    def _heappush_max(self,x):
        _heappush_max(self.queueL,x-self.shiftL)
        if self.label:
            self.labelL=self.f(self.labelL,x)
    def _heappop_max(self):
        x=_heappop_max(self.queueL)+self.shiftL
        if self.label:
            self.labelL=self.f_inve(self.labelL,x)
        return x
    def _heappushpop_max(self,x):
        y=_heappushpop_max(self.queueL,x-self.shiftL)+self.shiftL
        if self.label:
            self.labelL=self.f(self.labelL,x)
            self.labelL=self.f_inve(self.labelL,y)
        return y
    def push_Left(self,x):
        if self.queueR:
            self.min_f+=max(x-(self.queueR[0]+self.shiftR),0)
        self._heappush_max(self.heappushpop(x))
    def push_Right(self,x):
        if self.queueL:
            self.min_f+=max((self.queueL[0]+self.shiftL)-x,0)
        self.heappush(self._heappushpop_max(x))
    def pop_Left(self):
        if self.queueL:
            retu=self._heappop_max()
            if self.queueR:
                self.min_f+=max(retu-(self.queueR[0]+self.shiftR),0)
        else:
            retu=None
        return retu
    def pop_Right(self):
        if self.queueR:
            retu=self.heappop()
            if self.queueL:
                self.min_f+=max((self.queueL[0]+self.shiftL)-retu,0)
        else:
            retu=None
        return retu
    def push(self,x):
        if self.L:
            if len(self.queueL)<self.L:
                self.push_Left(x)
            else:
                self.push_Right(x)
        if self.R:
            if len(self.queueR)<self.R:
                self.push_Right(x)
            else:
                self.push_Left(x)
        if self.median:
            if self.median_value==None:
                if self.queueL and x<self.queueL[0]:
                    self.median_value=self._heappushpop_max(x)
                elif self.queueR and self.queueR[0]<x:
                    self.median_value=self.heappushpop(x)
                else:
                    self.median_value=x
            else:
                if self.median_value<=x:
                    self._heappush_max(self.median_value)
                    self.heappush(x)
                else:
                    self._heappush_max(x)
                    self.heappush(self.median_value)
                self.median_value=None
    def pop(self):
        if self.L:
            if len(self.queueL)==self.L:
                retu=self._heappop_max()
                if self.queueR:
                    self._heappush_max(self.heappop())
            else:
                retu=None
        if self.R:
            if len(self.queueR)==self.R:
                retu=self.heappop()
                if self.queueL:
                    self.heappush(self._heappop_max())
            else:
                retu=None
        if self.median:
            if self.median_value==None:
                retu=(self.pop_Left(),self.pop_Right())
            else:
                retu=(self.median_value,None)
                self.median_value=None
        return retu
    def top(self):
        if self.L:
            if len(self.queueL)==self.L:
                retu=self.queueL[0]
            else:
                retu=None
        if self.R:
            if len(self.queueR)==self.R:
                retu=self.queueR[0]
            else:
                retu=None
        if self.median:
            if self.median_value==None:
                if self.queueL:
                    retu=(self.queueL[0],self.queueR[0])
                else:
                    retu=(None,None)
            else:
                retu=(self.median_value,None)
        return retu
    def top_Left(self):
        if self.queueL:
           return self.queueL[0]+self.shiftL
        else:
            return None
    def top_Right(self):
        if self.queueR:
           return self.queueR[0]+self.shiftR
        else:
            return None
    def Shift_Left(self,a):
        self.shiftL+=a
    def Shift_Right(self,a):
        self.shiftR+=a
    def Label_Left(self):
        return self.labelL
    def Label_Right(self):
        return self.labelR
    def Cumultive_min(self):
        self.queueR=[]
    def Cumultive_max(self):
        self.queueL=[]
    def __len__(self):
        retu=len(self.queueL)+len(self.queueR)
        if self.median and self.median_value!=None:
            retu+=1
        return retu
    def __call__(self,x):
        return sum(max((l+self.shiftL)-x,0) for l in self.queueL)+sum(max(x-(r+self.shiftR),0) for r in self.queueR)+self.min_f
    def __str__(self):
        if self.median:
            if self.median_value==None:
                return "["+", ".join(map(str,sorted([x+self.shiftL for x in self.queueL])))+"]+["+", ".join(map(str,sorted([x+self.shiftR for x in 
                    self.queueR])))+"]"
            else:
                return "["+", ".join(map(str,sorted([x+self.shiftL for x in self.queueL])))+"]+"+str(self.median_value)+"+["+", ".join(map(str,sorted
                    ([x+self.shiftR for x in self.queueR])))+"]"
        else:
            return "["+", ".join(map(str,sorted([x+self.shiftL for x in self.queueL])))+"]+["+", ".join(map(str,sorted([x+self.shiftR for x in self
                .queueR])))+"]"
N=int(readline())
A=sorted(list(map(int,readline().split())))
ST=Slope_Trick()
for a in A:
    ST.Cumultive_min()
    ST.Shift_Left(1)
    ST.push_Right(a)
    ST.push_Left(a)
ans=ST.min_f
print(ans)
 
 
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