





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

def 						_SCREAMING_SNAKE_CASE       (_UpperCAmelCase :  Optional[RNGType] = None   ,			_UpperCAmelCase :  Optional[torch.Generator] = None       ):
 # Get the proper rng state
 if rng_type == RNGType.TORCH:
  lowerCAmelCase  							=      torch.get_rng_state()
 elif rng_type == RNGType.CUDA:
  lowerCAmelCase  							=      torch.cuda.get_rng_state()
 elif rng_type == RNGType.XLA:
  assert is_tpu_available(), "Can't synchronize XLA seeds on an environment without TPUs."
  lowerCAmelCase  							=      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."
  lowerCAmelCase  							=      torch.npu.get_rng_state()
 elif rng_type == RNGType.XPU:
  assert is_xpu_available(), "Can't synchronize XPU seeds on an environment without XPUs."
  lowerCAmelCase  							=      torch.xpu.get_rng_state()
 elif rng_type == RNGType.GENERATOR:
  assert generator is not None, "Need a generator to synchronize its seed."
  lowerCAmelCase  							=      generator.get_state()

 # Broadcast the rng state from device 0 to other devices
 lowerCAmelCase  							=      AcceleratorState()
 if state.distributed_type == DistributedType.TPU:
  lowerCAmelCase  							=      rng_state.to(xm.xla_device()       )
  xm.collective_broadcast([rng_state]       )
  xm.mark_step()
  lowerCAmelCase  							=      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
 ):
  lowerCAmelCase  							=      rng_state.to(state.device       )
  torch.distributed.broadcast(_UpperCAmelCase   ,			0       )
  lowerCAmelCase  							=      rng_state.cpu()
 elif state.distributed_type == DistributedType.MULTI_CPU:
  torch.distributed.broadcast(_UpperCAmelCase   ,			0       )

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




def 						_SCREAMING_SNAKE_CASE       (_UpperCAmelCase :  List[Union[str, RNGType]]   ,			_UpperCAmelCase :  Optional[torch.Generator] = None       ):
 for rng_type in rng_types:
  synchronize_rng_state(RNGType(_UpperCAmelCase       )   ,			generator=_UpperCAmelCase       )












"""simple docstring"""
import os
import sys
import time

from . import transposition_cipher as trans_cipher

def 						_SCREAMING_SNAKE_CASE       ():
 lowerCAmelCase  							=      'Prehistoric Men.txt'
 lowerCAmelCase  							=      'Output.txt'
 lowerCAmelCase  							=      int(input('Enter key: '       )       )
 lowerCAmelCase  							=      input('Encrypt/Decrypt [e/d]: '       )

 if not os.path.exists(_UpperCAmelCase       ):
  print(F'File {input_file} does not exist. Quitting...'       )
  sys.exit()
 if os.path.exists(_UpperCAmelCase       ):
  print(F'Overwrite {output_file}? [y/n]'       )
  lowerCAmelCase  							=      input('> '       )
  if not response.lower().startswith('y'       ):
   sys.exit()

 lowerCAmelCase  							=      time.time()
 if mode.lower().startswith('e'       ):
  with open(_UpperCAmelCase       ) as f:
   lowerCAmelCase  							=      f.read()
  lowerCAmelCase  							=      trans_cipher.encrypt_message(_UpperCAmelCase   ,			_UpperCAmelCase       )
 elif mode.lower().startswith('d'       ):
  with open(_UpperCAmelCase       ) as f:
   lowerCAmelCase  							=      f.read()
  lowerCAmelCase  							=      trans_cipher.decrypt_message(_UpperCAmelCase   ,			_UpperCAmelCase       )

 with open(_UpperCAmelCase   ,			'w'       ) as output_obj:
  output_obj.write(_UpperCAmelCase       )

 lowerCAmelCase  							=      round(time.time() - start_time   ,			2       )
 print(('Done (', total_time, 'seconds )')       )


if __name__ == "__main__":
       main()





