

from __future__ import annotations






class 	UpperCAmelCase__		:






  """simple docstring"""


  def __init__(							self						:		str     ,       __lowerCamelCase						:		int )		->							None:
       SCREAMING_SNAKE_CASE__   =   order

       # a_{0} ... a_{k}
       SCREAMING_SNAKE_CASE__   =   [1.0] + [0.0] * order
       # b_{0} ... b_{k}
       SCREAMING_SNAKE_CASE__   =   [1.0] + [0.0] * order

       # x[n-1] ... x[n-k]
       SCREAMING_SNAKE_CASE__   =   [0.0] * self.order
       # y[n-1] ... y[n-k]
       SCREAMING_SNAKE_CASE__   =   [0.0] * self.order






  def 				lowercase_		(							self						:		Union[str, Any]     ,       __lowerCamelCase						:		list[float]     ,       __lowerCamelCase						:		list[float] )		->							None:
       if len(__lowerCamelCase ) < self.order:
            SCREAMING_SNAKE_CASE__   =   [1.0, *a_coeffs]

       if len(__lowerCamelCase ) != self.order + 1:
            SCREAMING_SNAKE_CASE__   =   (
                f'''Expected a_coeffs to have {self.order + 1} elements '''
                f'''for {self.order}-order filter, got {len(__lowerCamelCase )}'''
            )
            raise ValueError(__lowerCamelCase )

       if len(__lowerCamelCase ) != self.order + 1:
            SCREAMING_SNAKE_CASE__   =   (
                f'''Expected b_coeffs to have {self.order + 1} elements '''
                f'''for {self.order}-order filter, got {len(__lowerCamelCase )}'''
            )
            raise ValueError(__lowerCamelCase )

       SCREAMING_SNAKE_CASE__   =   a_coeffs
       SCREAMING_SNAKE_CASE__   =   b_coeffs







  def 				lowercase_		(							self						:		Any     ,       __lowerCamelCase						:		float )		->							float:
       SCREAMING_SNAKE_CASE__   =   0.0

       # Start at index 1 and do index 0 at the end.
       for i in range(1     ,       self.order + 1 ):
            result += (
                self.b_coeffs[i] * self.input_history[i - 1]
                - self.a_coeffs[i] * self.output_history[i - 1]
            )

       SCREAMING_SNAKE_CASE__   =   (result + self.b_coeffs[0] * sample) / self.a_coeffs[0]

       SCREAMING_SNAKE_CASE__   =   self.input_history[:-1]
       SCREAMING_SNAKE_CASE__   =   self.output_history[:-1]

       SCREAMING_SNAKE_CASE__   =   sample
       SCREAMING_SNAKE_CASE__   =   result

       return result





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


_SCREAMING_SNAKE_CASE					:  Any             =      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE					:  int             =      {
    '''edbeeching/decision-transformer-gym-hopper-medium''': (
        '''https://huggingface.co/edbeeching/decision-transformer-gym-hopper-medium/resolve/main/config.json'''
    ),
    # See all DecisionTransformer models at https://huggingface.co/models?filter=decision_transformer
}






class 	UpperCAmelCase__		(	A__	):






  """simple docstring"""


  a									= "decision_transformer"
  a									= ["past_key_values"]
  a									= {
      "max_position_embeddings": "n_positions",
      "num_attention_heads": "n_head",
      "num_hidden_layers": "n_layer",
  }






  def __init__(							self						:		Tuple     ,       __lowerCamelCase						:		Any=17     ,       __lowerCamelCase						:		Any=4     ,       __lowerCamelCase						:		List[Any]=128     ,       __lowerCamelCase						:		Union[str, Any]=4096     ,       __lowerCamelCase						:		Optional[Any]=True     ,       __lowerCamelCase						:		Any=1     ,       __lowerCamelCase						:		List[Any]=1024     ,       __lowerCamelCase						:		Any=3     ,       __lowerCamelCase						:		Dict=1     ,       __lowerCamelCase						:		List[Any]=None     ,       __lowerCamelCase						:		str="relu"     ,       __lowerCamelCase						:		Dict=0.1     ,       __lowerCamelCase						:		int=0.1     ,       __lowerCamelCase						:		List[str]=0.1     ,       __lowerCamelCase						:		str=1e-5     ,       __lowerCamelCase						:		Optional[Any]=0.02     ,       __lowerCamelCase						:		int=True     ,       __lowerCamelCase						:		Tuple=True     ,       __lowerCamelCase						:		Optional[int]=5_0256     ,       __lowerCamelCase						:		Tuple=5_0256     ,       __lowerCamelCase						:		int=False     ,       __lowerCamelCase						:		Optional[int]=False     ,       **__lowerCamelCase						:		Tuple     ,       )		->							Optional[Any]:
       SCREAMING_SNAKE_CASE__   =   state_dim
       SCREAMING_SNAKE_CASE__   =   act_dim
       SCREAMING_SNAKE_CASE__   =   hidden_size
       SCREAMING_SNAKE_CASE__   =   max_ep_len
       SCREAMING_SNAKE_CASE__   =   action_tanh
       SCREAMING_SNAKE_CASE__   =   vocab_size
       SCREAMING_SNAKE_CASE__   =   n_positions
       SCREAMING_SNAKE_CASE__   =   n_layer
       SCREAMING_SNAKE_CASE__   =   n_head
       SCREAMING_SNAKE_CASE__   =   n_inner
       SCREAMING_SNAKE_CASE__   =   activation_function
       SCREAMING_SNAKE_CASE__   =   resid_pdrop
       SCREAMING_SNAKE_CASE__   =   embd_pdrop
       SCREAMING_SNAKE_CASE__   =   attn_pdrop
       SCREAMING_SNAKE_CASE__   =   layer_norm_epsilon
       SCREAMING_SNAKE_CASE__   =   initializer_range
       SCREAMING_SNAKE_CASE__   =   scale_attn_weights
       SCREAMING_SNAKE_CASE__   =   use_cache
       SCREAMING_SNAKE_CASE__   =   scale_attn_by_inverse_layer_idx
       SCREAMING_SNAKE_CASE__   =   reorder_and_upcast_attn

       SCREAMING_SNAKE_CASE__   =   bos_token_id
       SCREAMING_SNAKE_CASE__   =   eos_token_id

       super().__init__(bos_token_id=__lowerCamelCase     ,       eos_token_id=__lowerCamelCase     ,       **__lowerCamelCase )


