






"""simple docstring"""



from math import ceil

def 			_snake_case    (					lowerCamelCase__     :   str    ,						lowerCamelCase__     :   Any  )    ->     Any:
							lowerCamelCase_	:							Tuple									=list(range(0    ,						__UpperCAmelCase  )  )

							lowerCamelCase_	:							int									=[item for sublist in list(device_map.values()  ) for item in sublist]

							# Duplicate check
							lowerCamelCase_	:							Tuple									=[]
							for i in device_map_blocks:
														if device_map_blocks.count(__UpperCAmelCase  ) > 1 and i not in duplicate_blocks:
																					duplicate_blocks.append(__UpperCAmelCase  )
    # Missing blocks
							lowerCamelCase_	:							List[str]									=[i for i in blocks if i not in device_map_blocks]
							lowerCamelCase_	:							str									=[i for i in device_map_blocks if i not in blocks]

							if len(__UpperCAmelCase  ) != 0:
														raise ValueError(
														    "Duplicate attention blocks specified in device_map. Attention blocks must be specified to one device."
														    " These attention blocks were specified more than once: " + str(__UpperCAmelCase  )  )
							if len(__UpperCAmelCase  ) != 0:
														raise ValueError(
														    "There are attention blocks for this model that are not specified in the device_map. Add these attention "
														    "blocks to a device on the device_map: " + str(__UpperCAmelCase  )  )
							if len(__UpperCAmelCase  ) != 0:
														raise ValueError(
														    "The device_map contains more attention blocks than this model has. Remove these from the device_map:"
														    + str(__UpperCAmelCase  )  )

def 			_snake_case    (					lowerCamelCase__     :   int    ,						lowerCamelCase__     :   Union[str, Any]  )    ->     Dict:
							lowerCamelCase_	:							int									=list(range(__UpperCAmelCase  )  )
							lowerCamelCase_	:							List[str]									=int(ceil(n_layers / len(__UpperCAmelCase  )  )  )
							lowerCamelCase_	:							List[Any]									=[layers[i : i + n_blocks] for i in range(0    ,						__UpperCAmelCase    ,						__UpperCAmelCase  )]

							return dict(zip(__UpperCAmelCase    ,						__UpperCAmelCase  )  )











"""simple docstring"""



def 			_snake_case    (					lowerCamelCase__     :   int  )    ->     int:

							if not isinstance(lowerCamelCase__    ,						lowerCamelCase__  ):
														raise TypeError("only integers accepted as input"  )
							else:
														lowerCamelCase_	:							str									=str(abs(lowerCamelCase__  )  )
														lowerCamelCase_	:							Tuple									=[list(lowerCamelCase__  ) for char in range(len(lowerCamelCase__  )  )]
														for index in range(len(lowerCamelCase__  )  ):
																					num_transpositions[index].pop(lowerCamelCase__  )
														return max(
														    int("".join(list(lowerCamelCase__  )  )  ) for transposition in num_transpositions  )


if __name__ == "__main__":
						__import__('doctest').testmod()



