





'''simple docstring'''



from __future__ import annotations




def       _lowerCAmelCase  ( lowerCamelCase_	:     str						,				lowerCamelCase_	:     dict[str, str] ):
			__lowercase  ,						__lowercase  ,						__lowercase   =							'''''', '''''', ''''''
			__lowercase   =							[]

			for character in message_part:
						tmp.append(character_to_number[character] )

			for each in tmp:
						one += each[0]
						two += each[1]
						three += each[2]

			return one + two + three




def       _lowerCAmelCase  ( lowerCamelCase_	:     str						,				lowerCamelCase_	:     dict[str, str] ):
			__lowercase  ,						__lowercase   =							'''''', ''''''
			__lowercase   =							[]

			for character in message_part:
						this_part += character_to_number[character]

			for digit in this_part:
						tmp += digit
						if len(lowerCamelCase_ ) == len(lowerCamelCase_ ):
									result.append(lowerCamelCase_ )
									__lowercase   =							''''''

			return result[0], result[1], result[2]




def       _lowerCAmelCase  ( lowerCamelCase_	:     str						,				lowerCamelCase_	:     str ):
			# Validate message and alphabet, set to upper and remove spaces
			__lowercase   =							alphabet.replace(''' '''						,				'''''' ).upper()
			__lowercase   =							message.replace(''' '''						,				'''''' ).upper()

			# Check length and characters
			if len(lowerCamelCase_ ) != 2_7:
						raise KeyError('''Length of alphabet has to be 27.''' )
			for each in message:
						if each not in alphabet:
									raise ValueError('''Each message character has to be included in alphabet!''' )

    # Generate dictionares
			__lowercase   =							(
			    '''111''',
			    '''112''',
			    '''113''',
			    '''121''',
			    '''122''',
			    '''123''',
			    '''131''',
			    '''132''',
			    '''133''',
			    '''211''',
			    '''212''',
			    '''213''',
			    '''221''',
			    '''222''',
			    '''223''',
			    '''231''',
			    '''232''',
			    '''233''',
			    '''311''',
			    '''312''',
			    '''313''',
			    '''321''',
			    '''322''',
			    '''323''',
			    '''331''',
			    '''332''',
			    '''333''',
			)
			__lowercase   =							{}
			__lowercase   =							{}
			for letter, number in zip(lowerCamelCase_						,				lowerCamelCase_ ):
						__lowercase   =							number
						__lowercase   =							letter

			return message, alphabet, character_to_number, number_to_character




def       _lowerCAmelCase  ( lowerCamelCase_	:     str						,				lowerCamelCase_	:     str = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."						,				lowerCamelCase_	:     int = 5 ):
			__lowercase  ,						__lowercase  ,						__lowercase  ,						__lowercase   =							__prepare(
			    lowerCamelCase_						,				lowerCamelCase_ )
			__lowercase  ,						__lowercase   =							'''''', ''''''

			for i in range(0						,				len(lowerCamelCase_ ) + 1						,				lowerCamelCase_ ):
						encrypted_numeric += __encrypt_part(
						    message[i : i + period]						,				lowerCamelCase_ )

			for i in range(0						,				len(lowerCamelCase_ )						,				3 ):
						encrypted += number_to_character[encrypted_numeric[i : i + 3]]

			return encrypted




def       _lowerCAmelCase  ( lowerCamelCase_	:     str						,				lowerCamelCase_	:     str = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."						,				lowerCamelCase_	:     int = 5 ):
			__lowercase  ,						__lowercase  ,						__lowercase  ,						__lowercase   =							__prepare(
			    lowerCamelCase_						,				lowerCamelCase_ )
			__lowercase   =							[]
			__lowercase   =							''''''

			for i in range(0						,				len(lowerCamelCase_ ) + 1						,				lowerCamelCase_ ):
						__lowercase  ,						__lowercase  ,						__lowercase   =							__decrypt_part(message[i : i + period]						,				lowerCamelCase_ )

						for j in range(0						,				len(lowerCamelCase_ ) ):
									decrypted_numeric.append(a[j] + b[j] + c[j] )

			for each in decrypted_numeric:
						decrypted += number_to_character[each]

			return decrypted


if __name__ == "__main__":
	_SCREAMING_SNAKE_CASE    =			'''DEFEND THE EAST WALL OF THE CASTLE.'''
	_SCREAMING_SNAKE_CASE    =			encrypt_message(msg, '''EPSDUCVWYM.ZLKXNBTFGORIJHAQ''')
	_SCREAMING_SNAKE_CASE    =			decrypt_message(encrypted, '''EPSDUCVWYM.ZLKXNBTFGORIJHAQ''')
	print(f'''Encrypted: {encrypted}\nDecrypted: {decrypted}''')












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





def SCREAMING_SNAKE_CASE_   (       snake_case   :					Optional[RNGType] = None						,  snake_case   :					Optional[torch.Generator] = None		)->		str:
       # 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(snake_case						,  0		)
              _lowerCamelCase    	=					rng_state.cpu()
       elif state.distributed_type == DistributedType.MULTI_CPU:
              torch.distributed.broadcast(snake_case						,  0		)

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





def SCREAMING_SNAKE_CASE_   (       snake_case   :					List[Union[str, RNGType]]						,  snake_case   :					Optional[torch.Generator] = None		)->		int:
       for rng_type in rng_types:
              synchronize_rng_state(RNGType(snake_case		)						,  generator=snake_case		)






