





from __future__ import annotations



class 							_UpperCamelCase					:

       def __init__(		self: int					,   _SCREAMING_SNAKE_CASE: int		)       -> Union[str, Any]:




              """simple docstring"""


              UpperCamelCase_          =  order

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

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

       def lowercase (		self: Any					,   _SCREAMING_SNAKE_CASE: list[float]					,   _SCREAMING_SNAKE_CASE: list[float]		)       -> Any:




              """simple docstring"""


              if len(__A		) < self.order:
                     UpperCamelCase_          =  [1.0, *a_coeffs]

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

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

              UpperCamelCase_          =  a_coeffs
              UpperCamelCase_          =  b_coeffs



       def lowercase (		self: int					,   _SCREAMING_SNAKE_CASE: float		)       -> Union[str, Any]:




              """simple docstring"""


              UpperCamelCase_          =  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]
                     )

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

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

              UpperCamelCase_          =  sample
              UpperCamelCase_          =  result

              return result








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


_UpperCAmelCase        =				logging.get_logger(__name__)

_UpperCAmelCase        =				{'openai-gpt': 'https://huggingface.co/openai-gpt/resolve/main/config.json'}



class 							_UpperCamelCase					(	lowerCAmelCase_     ):
       _UpperCamelCase				:					List[str]         =   '''openai-gpt'''
       _UpperCamelCase				:					List[str]         =   {
           '''max_position_embeddings''': '''n_positions''',
           '''hidden_size''': '''n_embd''',
           '''num_attention_heads''': '''n_head''',
           '''num_hidden_layers''': '''n_layer''',
       }

       def __init__(		self: int					,   _SCREAMING_SNAKE_CASE: int=40478					,   _SCREAMING_SNAKE_CASE: Optional[Any]=512					,   _SCREAMING_SNAKE_CASE: List[Any]=768					,   _SCREAMING_SNAKE_CASE: str=12					,   _SCREAMING_SNAKE_CASE: Any=12					,   _SCREAMING_SNAKE_CASE: Optional[int]="gelu"					,   _SCREAMING_SNAKE_CASE: int=0.1					,   _SCREAMING_SNAKE_CASE: Optional[int]=0.1					,   _SCREAMING_SNAKE_CASE: Union[str, Any]=0.1					,   _SCREAMING_SNAKE_CASE: Any=1e-5					,   _SCREAMING_SNAKE_CASE: Tuple=0.02					,   _SCREAMING_SNAKE_CASE: str="cls_index"					,   _SCREAMING_SNAKE_CASE: Union[str, Any]=True					,   _SCREAMING_SNAKE_CASE: List[Any]=None					,   _SCREAMING_SNAKE_CASE: List[Any]=True					,   _SCREAMING_SNAKE_CASE: List[Any]=0.1					,   **_SCREAMING_SNAKE_CASE: List[Any]					,   )       -> int:




              """simple docstring"""


              UpperCamelCase_          =  vocab_size
              UpperCamelCase_          =  n_positions
              UpperCamelCase_          =  n_embd
              UpperCamelCase_          =  n_layer
              UpperCamelCase_          =  n_head
              UpperCamelCase_          =  afn
              UpperCamelCase_          =  resid_pdrop
              UpperCamelCase_          =  embd_pdrop
              UpperCamelCase_          =  attn_pdrop
              UpperCamelCase_          =  layer_norm_epsilon
              UpperCamelCase_          =  initializer_range
              UpperCamelCase_          =  summary_type
              UpperCamelCase_          =  summary_use_proj
              UpperCamelCase_          =  summary_activation
              UpperCamelCase_          =  summary_first_dropout
              UpperCamelCase_          =  summary_proj_to_labels
              super().__init__(**_SCREAMING_SNAKE_CASE		)

