#880776 (PyPy3) No.1810 RGB Biscuits

• 問題: No.1810 RGB Biscuits
• ユーザー: kohei2019
• 提出日時: 2023-06-15 00:45:02
• 言語: PyPy3 (7.3.15)
• 結果: AC
• 実行時間: 254 ms / 2,000 ms
• コード長: 7,575 bytes
• コンパイル時間: 207 ms
• コンパイル使用メモリ: 82,440 KB
• 実行使用メモリ: 78,232 KB
• 最終ジャッジ日時: 2024-06-23 05:21:09
• 合計ジャッジ時間: 4,366 ms
• ジャッジサーバーID （参考情報）: judge3 / judge1

ファイルパターン	結果
sample	AC * 2
other	AC * 20

ソースコード

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import copy
class matrix():
    def __init__(self):
        self.mod = 10**9+7
    def multiplication(self,arr1,arr2):
        '''
        例
        arr1
        2 3 4 5
        6 7 8 9
        arr2
        1 2
        3 4
        5 6
        7 8
        '''
        H = len(arr1)
        W = len(arr2[0])
        arr3 = [[0]*W for i in range(H)]
        for i in range(H):
            for j in range(W):
                val = 0
                for k in range(len(arr1[0])):
                    val += arr1[i][k]*arr2[k][j]
                arr3[i][j] = val
        return arr3
    
    def determinant(self,arr):
        '''
        正方行列N*Nの行列式
        計算量O(N**3)
        '''
        arr_calc = copy.deepcopy(arr)
        N = len(arr_calc)
        for i in range(N-1):
            d = arr_calc[i][i]
            for j in range(i+1,N):
                e = arr_calc[j][i]/d
                for k in range(i,N):
                    arr_calc[j][k] -= e*arr_calc[i][k]
        #arr_calc 上△行列
        det = 1
        for i in range(N):
            det *= arr_calc[i][i]
        return det
    
    def invarr(self,arr):
        '''
        正方行列N*Nの逆行列
        det == 0ならreturn False
        計算量O(N**3)
        ''' 
        arr_calc = copy.deepcopy(arr)
        if self.determinant(arr_calc) == 0:
            return False
        N = len(arr_calc)
        for i in range(N):
            v = [0]*(N)
            v[i] = 1
            arr_calc[i].extend(v)
        for i in range(N-1):
            d = arr_calc[i][i]
            for j in range(i+1,N):
                e = arr_calc[j][i]/d
                for k in range(i,2*N):
                    arr_calc[j][k] -= e*arr_calc[i][k]
        for i in range(N-1,-1,-1):
            d = arr_calc[i][i]
            for k in range(i,2*N):
                arr_calc[i][k] /= d
            for j in range(i-1,-1,-1):
                c = arr_calc[j][i]
                for k in range(i,2*N):
                    arr_calc[j][k] -= c*arr_calc[i][k]
        inv = [[0]*(N) for i in range(N)]
        for i in range(N):
            for j in range(N):
                inv[i][j] = arr_calc[i][j+N]
        return inv
    
    def SimultaneousE(self,arr):
        '''
        3x+2y+z = 4
        4x+5y+6z = 3
        7x+8y+9z = 2
        ->
        3 2 1 4
        4 5 6 3
        7 8 9 2
        '''
        N = len(arr)
        arr1 = [[0]*(N) for i in range(N)]
        for i in range(N):
            for j in range(N):
                arr1[i][j] = arr[i][j]
        v = [[0] for i in range(N)]
        for i in range(N):
            v[i][0] = arr[i][-1]
        if self.determinant(arr1) == 0:
            return False
        inva = self.invarr(arr1)
        return self.multiplication(inva,v)
    def invmod(self,a):#mod逆元
        if a == 0:
            return 0
        if a == 1:
            return 1
        return (-self.invmod(self.mod % a) * (self.mod // a)) % self.mod
    
    def multiplication_mod(self,arr1,arr2):
        H = len(arr1)
        W = len(arr2[0])
        arr3 = [[0]*W for i in range(H)]
        for i in range(H):
            for j in range(W):
                val = 0
                for k in range(len(arr1[0])):
                    val += arr1[i][k]*arr2[k][j]
                arr3[i][j] = val%self.mod
        return arr3
    def determinant_mod(self,arr):
        '''
        正方行列N*Nの行列式
        計算量O(N**3)
        '''
        arr_calc = copy.deepcopy(arr)
        N = len(arr_calc)
        for i in range(N-1):
            d = arr_calc[i][i]
            for j in range(i+1,N):
                e = arr_calc[j][i]*self.invmod(d)
                e %= self.mod
                for k in range(i,N):
                    arr_calc[j][k] -= e*arr_calc[i][k]
                    arr_calc[j][k] %= self.mod
        #arr_calc 上△行列
        det = 1
        for i in range(N):
            det *= arr_calc[i][i]
            det %= self.mod
        return det
    def invarr_mod(self,arr):
        '''
        正方行列N*Nの逆行列
        det == 0ならreturn False
        計算量O(N**3)
        '''
        arr_calc = copy.deepcopy(arr)
        det = self.determinant_mod(arr_calc)
        if det == 0:
            return False
        N = len(arr_calc)
        for i in range(N):
            v = [0]*(N)
            v[i] = det
            arr_calc[i].extend(v)
        for i in range(N-1):
            d = arr_calc[i][i]
            for j in range(i+1,N):
                e = arr_calc[j][i]*self.invmod(d)
                for k in range(i,2*N):
                    arr_calc[j][k] -= e*arr_calc[i][k]
                    arr_calc[j][k] %= self.mod
        for i in range(N-1,-1,-1):
            d = arr_calc[i][i]
            for k in range(i,2*N):
                arr_calc[i][k] *= self.invmod(d)
            for j in range(i-1,-1,-1):
                c = arr_calc[j][i]
                for k in range(i,2*N):
                    arr_calc[j][k] -= c*arr_calc[i][k]
                    arr_calc[j][k] %= self.mod
        inv = [[0]*(N) for i in range(N)]
        for i in range(N):
            for j in range(N):
                inv[i][j] = arr_calc[i][j+N]*self.invmod(det)%self.mod
        return inv
    
    def SimultaneousE_mod(self,arr):
        '''
        3x+2y+z = 4
        4x+5y+6z = 3
        7x+8y+9z = 2
        ->
        3 2 1 4
        4 5 6 3
        7 8 9 2
        '''
        N = len(arr)
        arr1 = [[0]*(N) for i in range(N)]
        for i in range(N):
            for j in range(N):
                arr1[i][j] = arr[i][j]
        v = [[0] for i in range(N)]
        for i in range(N):
            v[i][0] = arr[i][-1]
        det = self.determinant_mod(arr1)
        if det == 0:
            return False
        inva = self.invarr_mod(arr1)
        v2 = self.multiplication_mod(inva,v)
        for i in range(N):
            v2[i][0] %= self.mod
        return v2
    def modPow_matrix(self,arr,n):
        '''
        N*Nの正方行列arrをn乗する。
        '''
        N = len(arr)
        if n==0:
            arr1 = [[0]*(N) for i in range(N)]
            for i in range(N):
                arr1[i][i] = 1
            return arr1
        if n==1:
            for i in range(N):
                for j in range(N):
                    arr[i][j] %= self.mod
            return arr
        if n % 2 == 1:
            arr2 = self.multiplication_mod(arr,self.modPow_matrix(arr,n-1))
            return arr2
        arr3 = self.modPow_matrix(arr,n//2)
        return self.multiplication_mod(arr3,arr3)
    def Pow_matrix(self,arr,n):
        '''
        N*Nの正方行列arrをn乗する。
        '''
        N = len(arr)
        if n==0:
            arr1 = [[0]*(N) for i in range(N)]
            for i in range(N):
                arr1[i][i] = 1
            return arr1
        if n==1:
            return arr
        if n % 2 == 1:
            arr2 = self.multiplication(arr,self.Pow_matrix(arr,n-1))
            return arr2
        arr3 = self.Pow_matrix(arr,n//2)
        return self.multiplication(arr3,arr3)
A,B = map(int,input().split())
N = int(input())
mod = 10**9+7
MX = matrix()
ansls = []
arr = [[A,B,1],[1,0,0],[0,0,0]]
arr2 = [[1,0,0],[0,1,0],[A,B,1]]
ini = [[1],[1],[0]]
for i in range(N):
    T = int(input())
    T2 = T//2
    Tr = T%2
    md = MX.modPow_matrix(arr, T2)
    if Tr==1:
        md = MX.multiplication_mod(arr2,md)
    vec = MX.multiplication_mod(md,ini)
    ans = sum([vec[i][0] for i in range(3)])%mod
    ansls.append(ans)
print(*ansls,sep='\n')
 
 
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