






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

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available
@dataclass
class 							A_      (  __lowercase     ):






 '''simple docstring'''




 _SCREAMING_SNAKE_CASE							:     int	=   {
     "sld_warmup_steps": 1_5,
     "sld_guidance_scale": 2_0,
     "sld_threshold": 0.0,
     "sld_momentum_scale": 0.0,
     "sld_mom_beta": 0.0,
 }
 _SCREAMING_SNAKE_CASE							:     List[Any]	=   {
     "sld_warmup_steps": 1_0,
     "sld_guidance_scale": 1_0_0_0,
     "sld_threshold": 0.01,
     "sld_momentum_scale": 0.3,
     "sld_mom_beta": 0.4,
 }
 _SCREAMING_SNAKE_CASE							:     Optional[Any]	=   {
     "sld_warmup_steps": 7,
     "sld_guidance_scale": 2_0_0_0,
     "sld_threshold": 0.0_25,
     "sld_momentum_scale": 0.5,
     "sld_mom_beta": 0.7,
 }
 _SCREAMING_SNAKE_CASE							:     Any	=   {
     "sld_warmup_steps": 0,
     "sld_guidance_scale": 5_0_0_0,
     "sld_threshold": 1.0,
     "sld_momentum_scale": 0.5,
     "sld_mom_beta": 0.7,
 }



@dataclass
class 							A_      (  __lowercase     ):






 '''simple docstring'''




 _SCREAMING_SNAKE_CASE							:     Union[List[PIL.Image.Image], np.ndarray]
 _SCREAMING_SNAKE_CASE							:     Optional[List[bool]]
 _SCREAMING_SNAKE_CASE							:     Optional[Union[List[PIL.Image.Image], np.ndarray]]
 _SCREAMING_SNAKE_CASE							:     Optional[str]


if is_transformers_available() and is_torch_available():
  from .pipeline_stable_diffusion_safe import StableDiffusionPipelineSafe
  from .safety_checker import SafeStableDiffusionSafetyChecker












def        _lowerCamelCase		(  __A      :							list	) ->   list:
    _UpperCAmelCase			: Dict     					=			1.3
    _UpperCAmelCase			: Any     					=			len(__A	)
    _UpperCAmelCase			: List[Any]     					=			False

    while not completed:
        # Update the gap value for a next comb
        _UpperCAmelCase			: Optional[Any]     					=			int(gap / shrink_factor	)
        if gap <= 1:
            _UpperCAmelCase			: Any     					=			True

        _UpperCAmelCase			: Optional[Any]     					=			0
        while index + gap < len(__A	):
            if data[index] > data[index + gap]:
                # Swap values
                _UpperCAmelCase					,	_UpperCAmelCase			: Union[str, Any]     					=			data[index + gap], data[index]
                _UpperCAmelCase			: Any     					=			False
            index += 1

    return data


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  SCREAMING_SNAKE_CASE								=  input('Enter numbers separated by a comma:\n').strip()
  SCREAMING_SNAKE_CASE								=  [int(item) for item in user_input.split(',')]
  print(comb_sort(unsorted))




