結果

問題 No.1307 Rotate and Accumulate
ユーザー 👑 Kazun
提出日時 2020-12-04 00:20:38
言語 PyPy3
(7.3.15)
結果
AC  
実行時間 278 ms / 5,000 ms
コード長 9,761 bytes
コンパイル時間 332 ms
コンパイル使用メモリ 82,432 KB
実行使用メモリ 110,260 KB
最終ジャッジ日時 2024-09-14 09:48:06
合計ジャッジ時間 5,097 ms
ジャッジサーバーID
(参考情報)
judge2 / judge6
このコードへのチャレンジ
(要ログイン)
ファイルパターン 結果
sample AC * 3
other AC * 19
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 #
プレゼンテーションモードにする

class Modulo_Polynominal():
def __init__(self,Poly,Max_Degree=2*10**5,Char="X"):
from itertools import zip_longest
"""
P:
C:
Max_Degree
※Mod:
"""
self.Poly=[p%Mod for p in Poly][:Max_Degree]
self.Char=Char
self.Max_Degree=Max_Degree
def __str__(self):
S=""
flag=False
for k in range(len(self.Poly)):
if self.Poly[k]:
if flag:
if k==1:
S+="{:+}{}".format(self.Poly[1],self.Char)
else:
S+="{:+}{}^{}".format(self.Poly[k],self.Char,k)
else:
flag=True
if k==0:
S=str(self.Poly[0])
elif k==1:
S=str(self.Poly[1])+self.Char
else:
S=str(self.Poly[k])+"{}^{}".format(self.Char,k)
if S:
return S
else:
return "0"
#+,-
def __pos__(self):
return self
def __neg__(self):
return self.scale(-1)
#Boole
def __bool__(self):
for a in self.Poly:
if a:
return True
return False
#
def reduce(self):
P_deg=self.degree()
if not(P_deg>=0):
T=Modulo_Polynominal([0],self.Max_Degree,self.Char)
T.censor(self.Max_Degree)
return T
for i in range(self.degree(),-1,-1):
if self.Poly[i]:
T=Modulo_Polynominal(self.Poly[:i+1],self.Max_Degree,self.Char)
T.censor(self.Max_Degree)
return T
#
def degree(self):
x=-float("inf")
k=0
for y in self.Poly:
if y!=0:
x=k
k+=1
return x
#
def __add__(self,other):
P=self
Q=other
if Q.__class__==Modulo_Polynominal:
from itertools import zip_longest
N=min(P.Max_Degree,Q.Max_Degree)
R=[(a+b)%Mod for (a,b) in zip_longest(P.Poly,Q.Poly,fillvalue=0)]
return Modulo_Polynominal(R,N,P.Char)
else:
P_deg=P.degree()
R=[0]*(P_deg+1)
R=[p for p in P.Poly]
R[0]=(R[0]+Q)%Mod
return Modulo_Polynominal(R,P.Max_Degree,P.Char).reduce()
def __radd__(self,other):
return self+other
#
def __sub__(self,other):
return self+(-other)
def __rsub__(self,other):
return (-self)+other
#
def __mul__(self,other):
P=self
Q=other
if Q.__class__==Modulo_Polynominal:
M=min(P.Max_Degree,Q.Max_Degree)
B=Convolution_Mod(self.Poly,other.Poly)[:M]
return Modulo_Polynominal(B,M,self.Char).reduce()
else:
return self.scale(other)
def __rmul__(self,other):
return self.scale(other)
#
def __floordiv__(self,other):
if not other:
raise ZeroDivisionError
pass
#
def __mod__(self,other):
return self-(self//other)*other
#
def __pow__(self,n):
m=abs(n)
Q=self
A=Modulo_Polynominal([1],self.Max_Degree,self.Char)
while m>0:
if m&1:
A*=Q
m>>=1
Q*=Q
if n>=0:
return A
else:
return A.__inv__()
#
def __inv__(self,deg=None):
assert self.Poly[0],"0"
P=self
if deg==None:
deg=P.Max_Degree
else:
deg=min(deg,P.Max_Degree)
F=P.Poly
N=len(F)
r=pow(F[0],Mod-2,Mod)
m=1
T=[r]
while m<deg:
T+=[0]*m
m<<=1
E=Convolution_Mod(F[:m],Autocorrelation_Mod(T)[:m])
T=[(2*T[i]-E[i])%Mod for i in range(m)]
del T[deg:]
return Modulo_Polynominal(T,P.Max_Degree,P.Char)
#
def __truediv__(self,other):
if isinstance(other,Modulo_Polynominal):
return self*other.__inv__()
else:
return pow(other,Mod-2,Mod)*self
def __rtruediv__(self,other):
return other*self.__inv__()
#
def scale(self,s):
P=self
s%=Mod
A=[(s*p)%Mod for p in P.Poly]
return Modulo_Polynominal(A,P.Max_Degree,P.Char).reduce()
#
def coefficient(self,n):
try:
if n<0:
raise IndexError
return self.Poly[n]
except IndexError:
return 0
except TypeError:
return 0
#
def leading_coefficient(self):
for x in self.Poly[::-1]:
if x:
return x
return 0
def censor(self,n,Return=False):
""" n
"""
if Return:
return Modulo_Polynominal(self.Poly[:n],self.Max_Degree,self.Char)
else:
self.Poly=self.Poly[:n]
def resize(self,n,Return=False):
P=self
if Return:
if len(P.Poly)>n:
E=P.Poly[:n]
else:
E=P.Poly+[0]*(n-P.Poly)
return Modulo_Polynominal(E,P.Max_Degree,P.Char)
else:
if len(P.Poly)>n:
del P.Poly[n:]
else:
P.Poly+=[0]*(n-len(P.Poly))
def Primitive_Root(p):
"""Z/pZ
p:
"""
if p==2:
return 1
if p==998244353:
return 3
if p==10**9+7:
return 5
if p==163577857:
return 23
if p==167772161:
return 3
if p==469762049:
return 3
fac=[]
q=2
v=p-1
while v>=q*q:
e=0
while v%q==0:
e+=1
v//=q
if e>0:
fac.append(q)
q+=1
if v>1:
fac.append(v)
g=2
while g<p:
if pow(g,p-1,p)!=1:
return None
flag=True
for q in fac:
if pow(g,(p-1)//q,p)==1:
flag=False
break
if flag:
return g
g+=1
# https://atcoder.jp/contests/practice2/submissions/16789717
def NTT(A):
"""AMod
※Mod
"""
primitive=Primitive_Root(Mod)
N=len(A)
H=(N-1).bit_length()
if Mod==998_244_353:
m=998_244_352
u=119
e=23
S=[1,998244352,911660635,372528824,929031873,
452798380,922799308,781712469,476477967,166035806,
258648936,584193783,63912897,350007156,666702199,
968855178,629671588,24514907,996173970,363395222,
565042129,733596141,267099868,15311432]
else:
m=Mod-1
e=((m&-m)-1).bit_length()
u=m>>e
S=[pow(primitive,(Mod-1)>>i,Mod) for i in range(e+1)]
for l in range(H, 0, -1):
d = 1 << l - 1
U = [1]*(d+1)
u = 1
for i in range(d):
u=u*S[l]%Mod
U[i+1]=u
for i in range(1 <<H - l):
s=2*i*d
for j in range(d):
A[s],A[s+d]=(A[s]+A[s+d])%Mod, U[j]*(A[s]-A[s+d])%Mod
s+=1
# https://atcoder.jp/contests/practice2/submissions/16789717
def Inverse_NTT(A):
"""AMod
※Mod
"""
primitive=Primitive_Root(Mod)
N=len(A)
H=(N-1).bit_length()
if Mod==998244353:
m=998_244_352
e=23
u=119
S=[1,998244352,86583718,509520358,337190230,
87557064,609441965,135236158,304459705,685443576,
381598368,335559352,129292727,358024708,814576206,
708402881,283043518,3707709,121392023,704923114,950391366,
428961804,382752275,469870224]
else:
m=Mod-1
e=(m&-m).bit_length()-1
u=m>>e
inv_primitive=pow(primitive,Mod-2,Mod)
S=[pow(inv_primitive,(Mod-1)>>i,Mod) for i in range(e+1)]
for l in range(1, H + 1):
d = 1 << l - 1
for i in range(1 << H - l):
u = 1
for j in range(i * 2 * d, (i * 2 + 1) * d):
A[j+d] *= u
A[j], A[j+d] = (A[j] + A[j+d]) % Mod, (A[j] - A[j+d]) % Mod
u = u * S[l] % Mod
N_inv=pow(N,Mod-2,Mod)
for i in range(N):
A[i]=A[i]*N_inv%Mod
# https://atcoder.jp/contests/practice2/submissions/16789717
def Convolution_Mod(A,B):
"""A,BMod .
※Mod
"""
if not A or not B:
return []
N=len(A)
M=len(B)
L=N+M-1
if min(N,M)<=50:
if N<M:
N,M=M,N
A,B=B,A
C=[0]*L
for i in range(N):
for j in range(M):
C[i+j]+=A[i]*B[j]
C[i+j]%=Mod
return C
H=L.bit_length()
K=1<<H
A=A+[0]*(K-N)
B=B+[0]*(K-M)
NTT(A)
NTT(B)
for i in range(K):
A[i]=A[i]*B[i]%Mod
Inverse_NTT(A)
del A[L:]
return A
#================================================
N,Q=map(int,input().split())
A=list(map(int,input().split()))
R=map(int,input().split())
Mod=998244353
C=[0]*N
for r in R:
C[-r]+=1
P=Modulo_Polynominal(A,2*N)
Q=Modulo_Polynominal(C,2*N)
L=(P*Q).Poly
L+=[0]*(2*N-len(L))
X=[L[i]+L[i+N] for i in range(N)]
print(*X)
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