


from __future__ import annotations


def 		lowercase_  (     _UpperCamelCase  ):


			'''simple docstring'''







			return [ord(_UpperCamelCase  ) - 96 for elem in plain]


def 		lowercase_  (     _UpperCamelCase  ):


			'''simple docstring'''







			return "".join(chr(elem + 96  ) for elem in encoded  )


def 		lowercase_  (     ):


			'''simple docstring'''







			__lowercase 					=   encode(input('''-> '''  ).strip().lower()  )
			print('''Encoded: '''       ,			_UpperCamelCase  )
			print('''Decoded:'''       ,			decode(_UpperCamelCase  )  )


if __name__ == "__main__":
	main()






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


