





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


__lowerCamelCase       :     Dict   =     logging.get_logger(__name__)

__lowerCamelCase       :     Optional[int]   =     {
    """CarlCochet/trajectory-transformer-halfcheetah-medium-v2""": (
        """https://huggingface.co/CarlCochet/trajectory-transformer-halfcheetah-medium-v2/resolve/main/config.json"""
    ),
    # See all TrajectoryTransformer models at https://huggingface.co/models?filter=trajectory_transformer
}



class 					A__   (       __snake_case			):
      _UpperCAmelCase	:Tuple						    =   'trajectory_transformer'
      _UpperCAmelCase	:Union[str, Any]						    =   ['past_key_values']
      _UpperCAmelCase	:Optional[Any]						    =   {
          'hidden_size': 'n_embd',
          'num_attention_heads': 'n_head',
          'num_hidden_layers': 'n_layer',
      }





      def __init__( self       ,							A_=100       ,							A_=5       ,							A_=1       ,							A_=1       ,							A_=249       ,							A_=6       ,							A_=17       ,							A_=25       ,							A_=4       ,							A_=4       ,							A_=128       ,							A_=0.1       ,							A_=0.1       ,							A_=0.1       ,							A_=0.00_06       ,							A_=512       ,							A_=0.02       ,							A_=1e-12       ,							A_=1       ,							A_=True       ,							A_=1       ,							A_=5_0256       ,							A_=5_0256       ,							**A_       ,							):
       '''simple docstring'''




       UpperCamelCase	:					Optional[int]       	=   vocab_size
       UpperCamelCase	:					Optional[int]       	=   action_weight
       UpperCamelCase	:					Optional[int]       	=   reward_weight
       UpperCamelCase	:					Union[str, Any]       	=   value_weight
       UpperCamelCase	:					Optional[int]       	=   max_position_embeddings
       UpperCamelCase	:					Union[str, Any]       	=   block_size
       UpperCamelCase	:					Dict       	=   action_dim
       UpperCamelCase	:					List[Any]       	=   observation_dim
       UpperCamelCase	:					str       	=   transition_dim
       UpperCamelCase	:					Optional[Any]       	=   learning_rate
       UpperCamelCase	:					Optional[int]       	=   n_layer
       UpperCamelCase	:					Optional[int]       	=   n_head
       UpperCamelCase	:					Union[str, Any]       	=   n_embd
       UpperCamelCase	:					int       	=   embd_pdrop
       UpperCamelCase	:					List[Any]       	=   attn_pdrop
       UpperCamelCase	:					Union[str, Any]       	=   resid_pdrop
       UpperCamelCase	:					Optional[int]       	=   initializer_range
       UpperCamelCase	:					int       	=   layer_norm_eps
       UpperCamelCase	:					Union[str, Any]       	=   kaiming_initializer_range
       UpperCamelCase	:					List[str]       	=   use_cache
       super().__init__(pad_token_id=A_       ,							bos_token_id=A_       ,							eos_token_id=A_       ,							**A_   )







def 		A_				(     _lowerCAmelCase     )						-> str:
 UpperCamelCase	:					List[Any]       	=   ""
 for ch in key:
  if ch == " " or ch not in key_no_dups and ch.isalpha():
   key_no_dups += ch
 return key_no_dups



def 		A_				(     _lowerCAmelCase     )						-> dict[str, str]:
 UpperCamelCase	:					Optional[Any]       	=   [chr(i + 65     ) for i in range(26     )]
 # Remove duplicate characters from key
 UpperCamelCase	:					Tuple       	=   remove_duplicates(key.upper()     )
 UpperCamelCase	:					int       	=   len(_lowerCAmelCase     )
 # First fill cipher with key characters
 UpperCamelCase	:					int       	=   {alphabet[i]: char for i, char in enumerate(_lowerCAmelCase     )}
 # Then map remaining characters in alphabet to
 # the alphabet from the beginning
 for i in range(len(_lowerCAmelCase     )							,   26     ):
  UpperCamelCase	:					Optional[Any]       	=   alphabet[i - offset]
  # Ensure we are not mapping letters to letters previously mapped
  while char in key:
   offset -= 1
   UpperCamelCase	:					List[str]       	=   alphabet[i - offset]
  UpperCamelCase	:					List[Any]       	=   char
 return cipher_alphabet



def 		A_				(     _lowerCAmelCase							,   _lowerCAmelCase     )						-> str:
 return "".join(cipher_map.get(_lowerCAmelCase							,   _lowerCAmelCase     ) for ch in message.upper()     )



def 		A_				(     _lowerCAmelCase							,   _lowerCAmelCase     )						-> str:
 UpperCamelCase	:					Union[str, Any]       	=   {v: k for k, v in cipher_map.items()}
 return "".join(rev_cipher_map.get(_lowerCAmelCase							,   _lowerCAmelCase     ) for ch in message.upper()     )



def 		A_				(     )						-> None:
 UpperCamelCase	:					int       	=   input("Enter message to encode or decode: "     ).strip()
 UpperCamelCase	:					str       	=   input("Enter keyword: "     ).strip()
 UpperCamelCase	:					Union[str, Any]       	=   input("Encipher or decipher? E/D:"     ).strip()[0].lower()
 try:
  UpperCamelCase	:					List[str]       	=   {"e": encipher, "d": decipher}[option]
 except KeyError:
  raise KeyError("invalid input option"     )
 UpperCamelCase	:					str       	=   create_cipher_map(_lowerCAmelCase     )
 print(func(_lowerCAmelCase							,   _lowerCAmelCase     )     )


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()
