
'''simple docstring'''





import random
from typing import List, Optional, Union

import numpy as np
import torch

from ..state import AcceleratorState
from .constants import CUDA_DISTRIBUTED_TYPES
from .dataclasses import DistributedType, RNGType
from .imports import is_npu_available, is_tpu_available, is_xpu_available


if is_tpu_available(check_device=False):
 import torch_xla.core.xla_model as xm





def     snake_case							(						UpperCAmelCase ,					UpperCAmelCase = False		)->     int:







      """simple docstring"""





      if device_specific:
            seed += AcceleratorState().process_index
      random.seed(A_		)
      np.random.seed(A_		)
      torch.manual_seed(A_		)
      if is_xpu_available():
            torch.xpu.manual_seed_all(A_		)
      elif is_npu_available():
            torch.npu.manual_seed_all(A_		)
      else:
            torch.cuda.manual_seed_all(A_		)
      # ^^ safe to call this function even if cuda is not available
      if is_tpu_available():
            xm.set_rng_state(A_		)





def     snake_case							(						UpperCAmelCase = None ,					UpperCAmelCase = None		)->     str:







      """simple docstring"""





      if rng_type == RNGType.TORCH:
            __A    		=     torch.get_rng_state()
      elif rng_type == RNGType.CUDA:
            __A    		=     torch.cuda.get_rng_state()
      elif rng_type == RNGType.XLA:
            assert is_tpu_available(), "Can't synchronize XLA seeds on an environment without TPUs."
            __A    		=     torch.tensor(xm.get_rng_state()		)
      elif rng_type == RNGType.NPU:
            assert is_npu_available(), "Can't synchronize NPU seeds on an environment without NPUs."
            __A    		=     torch.npu.get_rng_state()
      elif rng_type == RNGType.XPU:
            assert is_xpu_available(), "Can't synchronize XPU seeds on an environment without XPUs."
            __A    		=     torch.xpu.get_rng_state()
      elif rng_type == RNGType.GENERATOR:
            assert generator is not None, "Need a generator to synchronize its seed."
            __A    		=     generator.get_state()

      # Broadcast the rng state from device 0 to other devices
      __A    		=     AcceleratorState()
      if state.distributed_type == DistributedType.TPU:
            __A    		=     rng_state.to(xm.xla_device()		)
            xm.collective_broadcast([rng_state]		)
            xm.mark_step()
            __A    		=     rng_state.cpu()
      elif (
          state.distributed_type in CUDA_DISTRIBUTED_TYPES
          or state.distributed_type == DistributedType.MULTI_NPU
          or state.distributed_type == DistributedType.MULTI_XPU
      ):
            __A    		=     rng_state.to(state.device		)
            torch.distributed.broadcast(A_ ,					0		)
            __A    		=     rng_state.cpu()
      elif state.distributed_type == DistributedType.MULTI_CPU:
            torch.distributed.broadcast(A_ ,					0		)

      # Set the broadcast rng state
      if rng_type == RNGType.TORCH:
            torch.set_rng_state(A_		)
      elif rng_type == RNGType.CUDA:
            torch.cuda.set_rng_state(A_		)
      elif rng_type == RNGType.NPU:
            torch.npu.set_rng_state(A_		)
      elif rng_type == RNGType.XPU:
            torch.xpu.set_rng_state(A_		)
      elif rng_type == RNGType.XLA:
            xm.set_rng_state(rng_state.item()		)
      elif rng_type == RNGType.GENERATOR:
            generator.set_state(A_		)





def     snake_case							(						UpperCAmelCase ,					UpperCAmelCase = None		)->     Union[str, Any]:







      """simple docstring"""





      for rng_type in rng_types:
            synchronize_rng_state(RNGType(A_		) ,					generator=A_		)








'''simple docstring'''





import itertools
from pathlib import Path





def     snake_case							(						UpperCAmelCase		)->     int:







      """simple docstring"""
      __A    		=     [tuple(UpperCAmelCase		) for login in logins]

      __A    		=     {char for login in split_logins for char in login}

      for permutation in itertools.permutations(UpperCAmelCase		):
            __A    		=     True
            for login in logins:
                  if not (
                      permutation.index(login[0]		)
                      < permutation.index(login[1]		)
                      < permutation.index(login[2]		)
                  ):
                        __A    		=     False
                        break

            if satisfied:
                  return int(''.join(UpperCAmelCase		)		)

      raise Exception('Unable to find the secret passcode'		)





def     snake_case							(						UpperCAmelCase = "keylog.txt"		)->     int:







      """simple docstring"""
      __A    		=     Path(UpperCAmelCase		).parent.joinpath(UpperCAmelCase		).read_text().splitlines()

      return find_secret_passcode(UpperCAmelCase		)


if __name__ == "__main__":
 print(f'''{solution() = }''')






