


'''simple docstring'''




from __future__ import annotations

class 		UpperCAmelCase_      :





     def __init__( self       :      List[Any]    ,      UpperCAmelCase__       :      int    )				->  None:
        lowerCAmelCase     =			order

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

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





     def 							__UpperCAmelCase      ( self       :      str    ,      UpperCAmelCase__       :      list[float]    ,      UpperCAmelCase__       :      list[float]    )				->  None:
        if len(UpperCAmelCase__    ) < self.order:
           lowerCAmelCase     =			[1.0, *a_coeffs]

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

        lowerCAmelCase     =			a_coeffs
        lowerCAmelCase     =			b_coeffs





     def 							__UpperCAmelCase      ( self       :      Dict    ,      UpperCAmelCase__       :      float    )				->  float:
        lowerCAmelCase     =			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]
           )

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

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

        lowerCAmelCase     =			sample
        lowerCAmelCase     =			result

        return result









'''simple docstring'''




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


__snake_case    						=logging.get_logger(__name__)

__snake_case    						={
    """facebook/s2t-wav2vec2-large-en-de""": (
        """https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/config.json"""
    ),
    # See all Speech2Text models at https://huggingface.co/models?filter=speech2text2
}

class 		UpperCAmelCase_      (  __lowercase		):
     lowerCamelCase				:	Union[str, Any]		=     '''speech_to_text_2'''
     lowerCamelCase				:	Any		=     ['''past_key_values''']
     lowerCamelCase				:	Optional[Any]		=     {'''num_attention_heads''': '''decoder_attention_heads''', '''hidden_size''': '''d_model'''}





     def __init__( self       :      Optional[int]    ,      UpperCAmelCase__       :      Optional[Any]=1_0_0_0_0    ,      UpperCAmelCase__       :      int=6    ,      UpperCAmelCase__       :      Optional[Any]=2_0_4_8    ,      UpperCAmelCase__       :      Union[str, Any]=4    ,      UpperCAmelCase__       :      List[Any]=0.0    ,      UpperCAmelCase__       :      str=True    ,      UpperCAmelCase__       :      str="relu"    ,      UpperCAmelCase__       :      Any=2_5_6    ,      UpperCAmelCase__       :      Optional[Any]=0.1    ,      UpperCAmelCase__       :      Any=0.0    ,      UpperCAmelCase__       :      Tuple=0.0    ,      UpperCAmelCase__       :      List[Any]=0.02    ,      UpperCAmelCase__       :      List[Any]=2    ,      UpperCAmelCase__       :      str=True    ,      UpperCAmelCase__       :      List[str]=1    ,      UpperCAmelCase__       :      Any=0    ,      UpperCAmelCase__       :      Dict=2    ,      UpperCAmelCase__       :      int=1_0_2_4    ,      **UpperCAmelCase__       :      Optional[Any]    ,      )				->  Dict:
        lowerCAmelCase     =			vocab_size
        lowerCAmelCase     =			d_model
        lowerCAmelCase     =			decoder_ffn_dim
        lowerCAmelCase     =			decoder_layers
        lowerCAmelCase     =			decoder_attention_heads
        lowerCAmelCase     =			dropout
        lowerCAmelCase     =			attention_dropout
        lowerCAmelCase     =			activation_dropout
        lowerCAmelCase     =			activation_function
        lowerCAmelCase     =			init_std
        lowerCAmelCase     =			decoder_layerdrop
        lowerCAmelCase     =			use_cache
        lowerCAmelCase     =			decoder_layers
        lowerCAmelCase     =			scale_embedding  # scale factor will be sqrt(d_model) if True
        lowerCAmelCase     =			max_target_positions

        super().__init__(
            pad_token_id=UpperCAmelCase__    ,      bos_token_id=UpperCAmelCase__    ,      eos_token_id=UpperCAmelCase__    ,      decoder_start_token_id=UpperCAmelCase__    ,      **UpperCAmelCase__    ,      )





