結果
| 問題 | 
                            No.2977 Kth Xor Pair
                             | 
                    
| コンテスト | |
| ユーザー | 
                             PNJ
                         | 
                    
| 提出日時 | 2024-12-08 16:39:52 | 
| 言語 | PyPy3  (7.3.15)  | 
                    
| 結果 | 
                             
                                RE
                                 
                             
                            
                         | 
                    
| 実行時間 | - | 
| コード長 | 1,449 bytes | 
| コンパイル時間 | 317 ms | 
| コンパイル使用メモリ | 82,096 KB | 
| 実行使用メモリ | 166,148 KB | 
| 最終ジャッジ日時 | 2024-12-08 16:40:18 | 
| 合計ジャッジ時間 | 24,690 ms | 
| 
                            ジャッジサーバーID (参考情報)  | 
                        judge4 / judge3 | 
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| ファイルパターン | 結果 | 
|---|---|
| sample | AC * 2 | 
| other | AC * 5 RE * 29 | 
ソースコード
def walsh_hadamard_transform(f):
  k = (len(f) - 1).bit_length()
  h = 1
  for _ in range(k):
    for i in range(0, len(f), h * 2):
      for j in range(i, i + h):
        f[j], f[j + h] = f[j] + f[j + h], f[j] - f[j + h]
    h *= 2
def Xor_convolution(a, b):
  f = a[:]
  g = b[:]
  k = (len(f) - 1).bit_length()
  walsh_hadamard_transform(f)
  walsh_hadamard_transform(g)
  for i in range(1 << k):
    f[i] = f[i] * g[i]
  walsh_hadamard_transform(f)
  for i in range(len(f)):
    f[i] >>= k
  return f
N, K = map(int, input().split())
A = list(map(int, input().split()))
F = [0 for i in range(1 << 20)]
for a in A:
  F[a >> 10] += 1
F = Xor_convolution(F, F)
F[0] -= N
for i in range(1 << 20):
  F[i] //= 2
  if i > 0:
    F[i] += F[i - 1]
i = 0
while F[i] < K:
  i += 1
mask = i
ans = i << 10
G = [[] for i in range(1 << 20)]
for a in A:
  b = a >> 10
  G[b].append(a - (b << 10))
F = [0 for i in range(1 << 10)]
for i in range(1 << 20):
  c = min(len(G[i]), len(G[mask ^ i]))
  if c <= 100:
    for j in G[i]:
      for k in G[i ^ mask]:
        F[j ^ k] += 1
  else:
    f, g = [0 for _ in range(1 << 10)], [0 for _ in range(1 << 10)]
    for j in G[i]:
      f[j] += 1
    for k in G[i ^ mask]:
      g[k] += 1
    f = Xor_convolution(f, g)
    for j in range(1 << 10):
      F[j] += f[j]
if mask == 0:
  F[0] -= N
for i in range(1 << 10):
  F[i] //= 2
  if i > 0:
    F[i] += F[i - 1]
i = 0
while F[i] < K:
  i += 1
ans += i
print(ans)
            
            
            
        
            
PNJ