






'''simple docstring'''

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


UpperCAmelCase__						:Optional[Any]          =			logging.get_logger(__name__)

UpperCAmelCase__						:List[str]          =			{
    """microsoft/biogpt""": """https://huggingface.co/microsoft/biogpt/resolve/main/config.json""",
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}







class 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_  ):
       snake_case__    :     List[Any]   		=			'biogpt'




       def __init__(					self      : Optional[Any]	,    A__      : str=42384	,    A__      : Optional[Any]=1024	,    A__      : Dict=24	,    A__      : Any=16	,    A__      : Union[str, Any]=4096	,    A__      : Dict="gelu"	,    A__      : Optional[int]=0.1	,    A__      : Optional[Any]=0.1	,    A__      : int=1024	,    A__      : Any=0.02	,    A__      : Optional[Any]=1e-1_2	,    A__      : int=True	,    A__      : Union[str, Any]=True	,    A__      : str=0.0	,    A__      : int=0.0	,    A__      : Optional[Any]=1	,    A__      : str=0	,    A__      : Dict=2	,    **A__      : List[str]	,    ):


            """simple docstring"""







            __lowerCamelCase						:       Any				   =				vocab_size
            __lowerCamelCase						:       List[str]				   =				max_position_embeddings
            __lowerCamelCase						:       str				   =				hidden_size
            __lowerCamelCase						:       List[Any]				   =				num_hidden_layers
            __lowerCamelCase						:       Any				   =				num_attention_heads
            __lowerCamelCase						:       Any				   =				intermediate_size
            __lowerCamelCase						:       Optional[int]				   =				hidden_act
            __lowerCamelCase						:       Optional[int]				   =				hidden_dropout_prob
            __lowerCamelCase						:       Any				   =				attention_probs_dropout_prob
            __lowerCamelCase						:       Optional[Any]				   =				initializer_range
            __lowerCamelCase						:       str				   =				layer_norm_eps
            __lowerCamelCase						:       Dict				   =				scale_embedding
            __lowerCamelCase						:       Union[str, Any]				   =				use_cache
            __lowerCamelCase						:       Any				   =				layerdrop
            __lowerCamelCase						:       str				   =				activation_dropout
            super().__init__(pad_token_id=A__	,    bos_token_id=A__	,    eos_token_id=A__	,    **A__					)











'''simple docstring'''

import math
def     __lowercase  ()   ->     None:


     """simple docstring"""
     __lowerCamelCase						:       Optional[int]				   =				input("""Enter message: """     )
     __lowerCamelCase						:       Optional[Any]				   =				int(input(f"Enter key [2-{len(_lowercase     ) - 1}]: "     )     )
     __lowerCamelCase						:       Dict				   =				input("""Encryption/Decryption [e/d]: """     )

     if mode.lower().startswith("""e"""     ):
          __lowerCamelCase						:       Any				   =				encrypt_message(_lowercase,						_lowercase     )
     elif mode.lower().startswith("""d"""     ):
          __lowerCamelCase						:       int				   =				decrypt_message(_lowercase,						_lowercase     )

     # Append pipe symbol (vertical bar) to identify spaces at the end.
     print(f"Output:\n{text + '|'}"     )
def     __lowercase  (_lowercase,						_lowercase     )   ->     str:


     """simple docstring"""
     __lowerCamelCase						:       int				   =				[""""""] * key
     for col in range(_lowercase     ):
          __lowerCamelCase						:       Optional[Any]				   =				col
          while pointer < len(_lowercase     ):
               cipher_text[col] += message[pointer]
               pointer += key
     return "".join(_lowercase     )
def     __lowercase  (_lowercase,						_lowercase     )   ->     str:


     """simple docstring"""
     __lowerCamelCase						:       List[str]				   =				math.ceil(len(_lowercase     ) / key     )
     __lowerCamelCase						:       List[str]				   =				key
     __lowerCamelCase						:       Tuple				   =				(num_cols * num_rows) - len(_lowercase     )
     __lowerCamelCase						:       List[str]				   =				[""""""] * num_cols
     __lowerCamelCase						:       List[str]				   =				0
     __lowerCamelCase						:       List[Any]				   =				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)
          ):
               __lowerCamelCase						:       int				   =				0
               row += 1

     return "".join(_lowercase     )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()



