





'''simple docstring'''






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   (				UpperCamelCase_		):
		lowercase__:      List[Any]							    =      {
		    """sld_warmup_steps""": 15,
		    """sld_guidance_scale""": 20,
		    """sld_threshold""": 0.0,
		    """sld_momentum_scale""": 0.0,
		    """sld_mom_beta""": 0.0,
		}
		lowercase__:      List[Any]							    =      {
		    """sld_warmup_steps""": 10,
		    """sld_guidance_scale""": 1000,
		    """sld_threshold""": 0.0_1,
		    """sld_momentum_scale""": 0.3,
		    """sld_mom_beta""": 0.4,
		}
		lowercase__:      Optional[Any]							    =      {
		    """sld_warmup_steps""": 7,
		    """sld_guidance_scale""": 2000,
		    """sld_threshold""": 0.0_2_5,
		    """sld_momentum_scale""": 0.5,
		    """sld_mom_beta""": 0.7,
		}
		lowercase__:      str							    =      {
		    """sld_warmup_steps""": 0,
		    """sld_guidance_scale""": 5000,
		    """sld_threshold""": 1.0,
		    """sld_momentum_scale""": 0.5,
		    """sld_mom_beta""": 0.7,
		}





@dataclass
class    _A   (				UpperCamelCase_		):
		lowercase__:      Union[List[PIL.Image.Image], np.ndarray]
		lowercase__:      Optional[List[bool]]
		lowercase__:      Optional[Union[List[PIL.Image.Image], np.ndarray]]
		lowercase__:      Optional[str]


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













'''simple docstring'''






from __future__ import annotations

from typing import Any




class    _A   :

		def __init__(      self				:      Optional[int]     ,			__magic_name__				:      Any     ,			__magic_name__				:      Any )				->						None:  # noqa: A002


					"""simple docstring"""

					__snake_case				:			List[Any]       			=    item
					__snake_case				:			List[Any]       			=    next





class    _A   :

		def __init__(      self				:      str )				->						None:


					"""simple docstring"""

					__snake_case				:			Node | None       			=    None
					__snake_case				:			Optional[Any]       			=    0

		def   lowercase__    (      self				:      Optional[Any]     ,			__magic_name__				:      Any )				->						None:


					"""simple docstring"""

					__snake_case				:			int       			=    Node(__magic_name__     ,			self.head )
					self.size += 1

		def   lowercase__    (      self				:      Tuple )				->						Any:


					"""simple docstring"""

					if self.head is None:
								return None
					else:
								__snake_case				:			Union[str, Any]       			=    self.head.item
								__snake_case				:			Union[str, Any]       			=    self.head.next
								self.size -= 1
								return item

		def   lowercase__    (      self				:      str )				->						bool:


					"""simple docstring"""

					return self.head is None

		def __str__(      self				:      str )				->						str:


					"""simple docstring"""

					if self.is_empty():
								return ""
					else:
								__snake_case				:			Dict       			=    self.head
								__snake_case				:			Optional[int]       			=    """"""
								__snake_case				:			list[str]       			=    []
								while iterate:
											item_list.append(str(iterate.item ) )
											__snake_case				:			int       			=    iterate.next

								__snake_case				:			Union[str, Any]       			=    """ --> """.join(__magic_name__ )

								return item_str

		def __len__(      self				:      Optional[int] )				->						int:


					"""simple docstring"""

					return self.size


