






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


UpperCAmelCase__							  =						logging.get_logger(__name__)

# TODO: upload to AWS
UpperCAmelCase__							  =						{
    "yjernite/retribert-base-uncased": (
        "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/config.json"
    ),
}






class 						lowercase_   (      lowercase  ):






      '''simple docstring'''




      __snake_case	    =    '''retribert'''







      def __init__( self :		List[str]					,   __UpperCAmelCase :		List[str]=30_522					,   __UpperCAmelCase :		int=768					,   __UpperCAmelCase :		Any=8					,   __UpperCAmelCase :		List[str]=12					,   __UpperCAmelCase :		List[Any]=3_072					,   __UpperCAmelCase :		Tuple="gelu"					,   __UpperCAmelCase :		Any=0.1					,   __UpperCAmelCase :		Dict=0.1					,   __UpperCAmelCase :		Optional[int]=512					,   __UpperCAmelCase :		Union[str, Any]=2					,   __UpperCAmelCase :		Optional[Any]=0.02					,   __UpperCAmelCase :		Union[str, Any]=1e-1_2					,   __UpperCAmelCase :		List[Any]=True					,   __UpperCAmelCase :		Any=128					,   __UpperCAmelCase :		Optional[int]=0					,   **__UpperCAmelCase :		Dict					,   )       ->Optional[Any]:




       """simple docstring"""


       super().__init__(pad_token_id=__UpperCAmelCase					,   **__UpperCAmelCase    )

       a						    = vocab_size
       a						    = hidden_size
       a						    = num_hidden_layers
       a						    = num_attention_heads
       a						    = hidden_act
       a						    = intermediate_size
       a						    = hidden_dropout_prob
       a						    = attention_probs_dropout_prob
       a						    = max_position_embeddings
       a						    = type_vocab_size
       a						    = initializer_range
       a						    = layer_norm_eps
       a						    = share_encoders
       a						    = projection_dim










from __future__ import annotations






class 						lowercase_   :






      '''simple docstring'''




      def __init__( self :		List[str]					,   __UpperCAmelCase :		int    )       ->None:




       """simple docstring"""


       a						    = order

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

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







      def  __lowerCAmelCase   ( self :		Union[str, Any]					,   __UpperCAmelCase :		list[float]					,   __UpperCAmelCase :		list[float]    )       ->None:




       """simple docstring"""


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

       if len(__UpperCAmelCase    ) != self.order + 1:
        a						    = (
            F"""Expected a_coeffs to have {self.order + 1} elements """
            F"""for {self.order}-order filter, got {len(__UpperCAmelCase    )}"""
        )
        raise ValueError(__UpperCAmelCase    )

       if len(__UpperCAmelCase    ) != self.order + 1:
        a						    = (
            F"""Expected b_coeffs to have {self.order + 1} elements """
            F"""for {self.order}-order filter, got {len(__UpperCAmelCase    )}"""
        )
        raise ValueError(__UpperCAmelCase    )

       a						    = a_coeffs
       a						    = b_coeffs







      def  __lowerCAmelCase   ( self :		Any					,   __UpperCAmelCase :		float    )       ->float:




       """simple docstring"""


       a						    = 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]
        )

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

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

       a						    = sample
       a						    = result

       return result


