





'''simple docstring'''


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


lowerCAmelCase :					List[Any] 							=logging.get_logger(__name__)

lowerCAmelCase :					List[str] 							={
    '''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_       (    _lowerCAmelCase							):
     __A								=      "trajectory_transformer"
     __A								=      ["past_key_values"]
     __A								=      {
         "hidden_size": "n_embd",
         "num_attention_heads": "n_head",
         "num_hidden_layers": "n_layer",
     }





     def __init__(			self		: int     ,				lowercase		: Union[str, Any]=100     ,				lowercase		: List[Any]=5     ,				lowercase		: Dict=1     ,				lowercase		: List[Any]=1     ,				lowercase		: Any=249     ,				lowercase		: List[Any]=6     ,				lowercase		: Union[str, Any]=17     ,				lowercase		: Any=25     ,				lowercase		: Optional[int]=4     ,				lowercase		: List[str]=4     ,				lowercase		: Tuple=128     ,				lowercase		: Dict=0.1     ,				lowercase		: Union[str, Any]=0.1     ,				lowercase		: int=0.1     ,				lowercase		: Any=0.00_06     ,				lowercase		: List[str]=512     ,				lowercase		: Optional[int]=0.02     ,				lowercase		: List[str]=1e-1_2     ,				lowercase		: Dict=1     ,				lowercase		: Optional[Any]=True     ,				lowercase		: List[Any]=1     ,				lowercase		: List[str]=50_256     ,				lowercase		: Any=50_256     ,				**lowercase		: Union[str, Any]     ,				):





        """simple docstring"""




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









'''simple docstring'''


from __future__ import annotations

lowerCAmelCase :					Any 							={
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}
class 				a_       :





     def __init__(			self		: List[Any]     ,				lowercase		: dict[str, list[str]]     ,				lowercase		: str						):





        """simple docstring"""




        lowercase_      :List[str]         =			graph
        # mapping node to its parent in resulting breadth first tree
        lowercase_      :dict[str, str | None]         =			{}
        lowercase_      :Dict         =			source_vertex





     def 							lowercase__				(			self		: Tuple						):





        """simple docstring"""




        lowercase_      :Union[str, Any]         =			{self.source_vertex}
        lowercase_      :Tuple         =			None
        lowercase_      :Dict         =			[self.source_vertex]  # first in first out queue

        while queue:
           lowercase_      :int         =			queue.pop(0						)
           for adjacent_vertex in self.graph[vertex]:
              if adjacent_vertex not in visited:
                 visited.add(lowercase						)
                 lowercase_      :Optional[Any]         =			vertex
                 queue.append(lowercase						)







     def 							lowercase__				(			self		: Tuple     ,				lowercase		: str						):





        """simple docstring"""




        if target_vertex == self.source_vertex:
           return self.source_vertex

        lowercase_      :List[str]         =			self.parent.get(lowercase						)
        if target_vertex_parent is None:
           lowercase_      :Union[str, Any]         =			(
               F'No path from vertex: {self.source_vertex} to vertex: {target_vertex}'
           )
           raise ValueError(lowercase						)

        return self.shortest_path(lowercase						) + F'->{target_vertex}'


if __name__ == "__main__":
 lowerCAmelCase :					Dict 							=Graph(graph, '''G''')
 g.breath_first_search()
 print(g.shortest_path('''D'''))
 print(g.shortest_path('''G'''))
 print(g.shortest_path('''Foo'''))


