
'''simple docstring'''
from __future__ import annotations


class       _lowerCAmelCase   :







							'''simple docstring'''

							def __init__(self  ,  UpperCAmelCase  )					->       None:
														_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 	lowercase							(self  ,  UpperCAmelCase  ,  UpperCAmelCase  )					->       None:
														if len(UpperCAmelCase  ) < self.order:
																					_snake_case       =  [1.0, *a_coeffs]

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

														_snake_case       =  a_coeffs
														_snake_case       =  b_coeffs





							def 	lowercase							(self  ,  UpperCAmelCase  )					->       float:
														_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








'''simple docstring'''
import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    'The `inpainting.py` script is outdated. Please use directly `from diffusers import'
    ' StableDiffusionInpaintPipeline` instead.'
)