
from __future__ import annotations







class 			A_  :




	'''simple docstring'''


	def __init__(			self						,       snake_case			):
		lowercase	    =       order

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

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





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case						,       snake_case			):
		if len(snake_case			) < self.order:
			lowercase	    =       [1.0, *a_coeffs]

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

		lowercase	    =       a_coeffs
		lowercase	    =       b_coeffs





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case			):
		lowercase	    =       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]
			)

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

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

		lowercase	    =       sample
		lowercase	    =       result

		return result








'''simple docstring'''

from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
  if not (is_transformers_available() and is_torch_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ...utils.dummy_torch_and_transformers_objects import KandinskyPipeline, KandinskyPriorPipeline
else:
  from .pipeline_kandinsky import KandinskyPipeline
  from .pipeline_kandinsky_imgaimg import KandinskyImgaImgPipeline
  from .pipeline_kandinsky_inpaint import KandinskyInpaintPipeline
  from .pipeline_kandinsky_prior import KandinskyPriorPipeline, KandinskyPriorPipelineOutput
  from .text_encoder import MultilingualCLIP



