g = torch.Generator().manual_seed(2147483647)

for i in range(5):
  
  out = []
  ix = 0
  while True:
    p = P[ix]
    ix = torch.multinomial(p, num_samples=1, replacement=True, generator=g).item()
    out.append(itos[ix])
    if ix == 0:
      break
  print(''.join(out))