






from __future__ import annotations

class   A__ :







    """simple docstring"""

    def __init__(	self      , __snake_case   ):
         snake_case					=    order

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

         # x[n-1] ... x[n-k]
         snake_case					=    [0.0] * self.order
         # y[n-1] ... y[n-k]
         snake_case					=    [0.0] * self.order
    def 		a_      (	self      , __snake_case      , __snake_case   ):
         if len(__snake_case   ) < self.order:
              snake_case					=    [1.0, *a_coeffs]

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

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

         snake_case					=    a_coeffs
         snake_case					=    b_coeffs




    def 		a_      (	self      , __snake_case   ):
         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]
              )

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

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

         snake_case					=    sample
         snake_case					=    result

         return result








from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_SCREAMING_SNAKE_CASE      :			Dict      				=   {"configuration_van": ["VAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "VanConfig"]}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _SCREAMING_SNAKE_CASE      :			Dict      				=   [
     "VAN_PRETRAINED_MODEL_ARCHIVE_LIST",
     "VanForImageClassification",
     "VanModel",
     "VanPreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_van import (
      VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
      VanForImageClassification,
      VanModel,
      VanPreTrainedModel,
  )

else:
 import sys

 _SCREAMING_SNAKE_CASE      :			str      				=   _LazyModule(__name__, globals()["__file__"], _import_structure)




