


"""simple docstring"""


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


A_      =    logging.get_logger(__name__)

A_      =    {
    '''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  lowercase(					__a			):







 '''simple docstring'''





 lowercase__			 = "trajectory_transformer"
 lowercase__			 = ["past_key_values"]
 lowercase__			 = {
     "hidden_size": "n_embd",
     "num_attention_heads": "n_head",
     "num_hidden_layers": "n_layer",
 }


 def __init__(    self:		Union[str, Any],				a_:		List[str]=100,				a_:		Any=5,				a_:		Union[str, Any]=1,				a_:		List[str]=1,				a_:		Dict=249,				a_:		str=6,				a_:		List[str]=17,				a_:		str=25,				a_:		List[Any]=4,				a_:		Union[str, Any]=4,				a_:		int=128,				a_:		Union[str, Any]=0.1,				a_:		str=0.1,				a_:		int=0.1,				a_:		Optional[Any]=0.0_006,				a_:		Dict=512,				a_:		Tuple=0.02,				a_:		int=1E-12,				a_:		List[Any]=1,				a_:		List[str]=True,				a_:		Optional[int]=1,				a_:		Optional[int]=50_256,				a_:		List[Any]=50_256,				**a_:		Optional[int],				):




   '''simple docstring'''



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








"""simple docstring"""


from typing import Any






class  lowercase:







 '''simple docstring'''





 def __init__(    self:		Dict,				a_:		Any		):




   '''simple docstring'''



   _snake_case							:		Dict								=  data
   _snake_case							:		Optional[Any]								=  None







class  lowercase:







 '''simple docstring'''





 def __init__(    self:		str		):




   '''simple docstring'''



   _snake_case							:		Any								=  None


 def 			UpperCamelCase_       (    self:		Any		):




   '''simple docstring'''



   _snake_case							:		List[Any]								=  self.head
   while temp is not None:
     print(temp.data,				end=""" """		)
     _snake_case							:		int								=  temp.next
   print()


 def 			UpperCamelCase_       (    self:		Union[str, Any],				a_:		Any		):




   '''simple docstring'''



   _snake_case							:		Optional[Any]								=  Node(a_		)
   _snake_case							:		Union[str, Any]								=  self.head
   _snake_case							:		List[Any]								=  new_node


 def 			UpperCamelCase_       (    self:		Tuple,				a_:		List[str],				a_:		Union[str, Any]		):




   '''simple docstring'''



   if node_data_a == node_data_a:
     return
   else:
     _snake_case							:		int								=  self.head
     while node_a is not None and node_a.data != node_data_a:
       _snake_case							:		List[Any]								=  node_a.next

     _snake_case							:		List[Any]								=  self.head
     while node_a is not None and node_a.data != node_data_a:
       _snake_case							:		List[Any]								=  node_a.next

     if node_a is None or node_a is None:
       return

     _snake_case		, _snake_case							:		int								=  node_a.data, node_a.data


if __name__ == "__main__":
     A_      =    LinkedList()
     for i in range(5, 0, -1):
          ll.push(i)

     ll.print_list()

     ll.swap_nodes(1, 4)
     print('''After swapping''')
     ll.print_list()


