


from __future__ import annotations
class 	lowerCamelCase_       :



					'''simple docstring'''







					def __init__(				self ,       snake_case_						)   ->			None:







								'''simple docstring'''

								__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 A      (				self ,       snake_case_ ,       snake_case_						)   ->			None:







								'''simple docstring'''

								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 A      (				self ,       snake_case_						)   ->			float:







								'''simple docstring'''

								__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






from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL

from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
from .timesteps import (
    fastaa_timesteps,
    smartaa_timesteps,
    smartaa_timesteps,
    smartaaa_timesteps,
    smartaaa_timesteps,
    superaa_timesteps,
    superaa_timesteps,
    superaaa_timesteps,
)
@dataclass
class 	lowerCamelCase_       (				lowerCAmelCase__				):



					'''simple docstring'''







					__UpperCAmelCase            =				42
					__UpperCAmelCase            =				42
					__UpperCAmelCase            =				42


try:
	if not (is_transformers_available() and is_torch_available()):
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
	from .pipeline_if import IFPipeline
	from .pipeline_if_imgaimg import IFImgaImgPipeline
	from .pipeline_if_imgaimg_superresolution import IFImgaImgSuperResolutionPipeline
	from .pipeline_if_inpainting import IFInpaintingPipeline
	from .pipeline_if_inpainting_superresolution import IFInpaintingSuperResolutionPipeline
	from .pipeline_if_superresolution import IFSuperResolutionPipeline
	from .safety_checker import IFSafetyChecker
	from .watermark import IFWatermarker


