




from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase__				     = logging.get_logger(__name__)

UpperCAmelCase__				     = {}







class a		(     __SCREAMING_SNAKE_CASE  ):
						"""simple docstring"""

						UpperCamelCase_	:       Optional[Any]       	=		'llama'
						UpperCamelCase_	:       Dict       	=		['past_key_values']






						def __init__( self :     Union[str, Any]				,							lowerCamelCase__ :     Optional[Any]=32_000				,							lowerCamelCase__ :     List[Any]=4_096				,							lowerCamelCase__ :     Optional[int]=11_008				,							lowerCamelCase__ :     int=32				,							lowerCamelCase__ :     Tuple=32				,							lowerCamelCase__ :     Optional[Any]=None				,							lowerCamelCase__ :     List[str]="silu"				,							lowerCamelCase__ :     List[Any]=2_048				,							lowerCamelCase__ :     Optional[Any]=0.0_2				,							lowerCamelCase__ :     Dict=1e-6				,							lowerCamelCase__ :     int=True				,							lowerCamelCase__ :     Tuple=0				,							lowerCamelCase__ :     List[Any]=1				,							lowerCamelCase__ :     List[Any]=2				,							lowerCamelCase__ :     List[str]=1				,							lowerCamelCase__ :     Any=False				,							lowerCamelCase__ :     Optional[int]=None				,							**lowerCamelCase__ :     Dict				,							)    ->						Dict:
													"""simple docstring"""


													__lowercase      =    vocab_size
													__lowercase      =    max_position_embeddings
													__lowercase      =    hidden_size
													__lowercase      =    intermediate_size
													__lowercase      =    num_hidden_layers
													__lowercase      =    num_attention_heads

													# for backward compatibility
													if num_key_value_heads is None:
																				__lowercase      =    num_attention_heads

													__lowercase      =    num_key_value_heads
													__lowercase      =    hidden_act
													__lowercase      =    initializer_range
													__lowercase      =    rms_norm_eps
													__lowercase      =    pretraining_tp
													__lowercase      =    use_cache
													__lowercase      =    rope_scaling
													self._rope_scaling_validation()

													super().__init__(
													    pad_token_id=lowerCamelCase__				,							bos_token_id=lowerCamelCase__				,							eos_token_id=lowerCamelCase__				,							tie_word_embeddings=lowerCamelCase__				,							**lowerCamelCase__				,							)






						def     UpperCAmelCase_      ( self :     Optional[int]				)    ->						Union[str, Any]:
													"""simple docstring"""


													if self.rope_scaling is None:
																				return

													if not isinstance(self.rope_scaling				,							lowerCamelCase__				) or len(self.rope_scaling				) != 2:
																				raise ValueError(
																				    '''`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '''
																				    f'got {self.rope_scaling}'				)
													__lowercase      =    self.rope_scaling.get('''type'''				,							lowerCamelCase__				)
													__lowercase      =    self.rope_scaling.get('''factor'''				,							lowerCamelCase__				)
													if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
																				raise ValueError(
																				    f'`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}'				)
													if rope_scaling_factor is None or not isinstance(lowerCamelCase__				,							lowerCamelCase__				) or rope_scaling_factor <= 1.0:
																				raise ValueError(f'`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}'				)












import math







def 		_A(       )    -> None:
							'''simple docstring'''


							__lowercase      =    input('''Enter message: '''				)
							__lowercase      =    int(input(F'Enter key [2-{len(UpperCamelCase__				) - 1}]: '				)				)
							__lowercase      =    input('''Encryption/Decryption [e/d]: '''				)

							if mode.lower().startswith('''e'''				):
														__lowercase      =    encrypt_message(UpperCamelCase__				,       UpperCamelCase__				)
							elif mode.lower().startswith('''d'''				):
														__lowercase      =    decrypt_message(UpperCamelCase__				,       UpperCamelCase__				)

							# Append pipe symbol (vertical bar) to identify spaces at the end.
							print(F'Output:\n{text + "|"}'				)







def 		_A(       UpperCamelCase__							:			int				,       UpperCamelCase__							:			str				)    -> str:
							'''simple docstring'''


							__lowercase      =    [''''''] * key
							for col in range(UpperCamelCase__				):
														__lowercase      =    col
														while pointer < len(UpperCamelCase__				):
																					cipher_text[col] += message[pointer]
																					pointer += key
							return "".join(UpperCamelCase__				)







def 		_A(       UpperCamelCase__							:			int				,       UpperCamelCase__							:			str				)    -> str:
							'''simple docstring'''


							__lowercase      =    math.ceil(len(UpperCamelCase__				) / key				)
							__lowercase      =    key
							__lowercase      =    (num_cols * num_rows) - len(UpperCamelCase__				)
							__lowercase      =    [''''''] * num_cols
							__lowercase      =    0
							__lowercase      =    0

							for symbol in message:
														plain_text[col] += symbol
														col += 1

														if (
														    (col == num_cols)
														    or (col == num_cols - 1)
														    and (row >= num_rows - num_shaded_boxes)
														):
																					__lowercase      =    0
																					row += 1

							return "".join(UpperCamelCase__				)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()






