

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 						lowercase_					(						__lowercase  ):
      UpperCamelCase_    :	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,
      }
      UpperCamelCase_    :	List[str]		   =       {
          "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,
      }
      UpperCamelCase_    :	Optional[int]		   =       {
          "sld_warmup_steps": 7,
          "sld_guidance_scale": 2_0_0_0,
          "sld_threshold": 0.025,
          "sld_momentum_scale": 0.5,
          "sld_mom_beta": 0.7,
      }
      UpperCamelCase_    :	Dict		   =       {
          "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 						lowercase_					(						__lowercase  ):
      UpperCamelCase_    :	Union[List[PIL.Image.Image], np.ndarray]
      UpperCamelCase_    :	Optional[List[bool]]
      UpperCamelCase_    :	Optional[Union[List[PIL.Image.Image], np.ndarray]]
      UpperCamelCase_    :	Optional[str]


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



from __future__ import annotations

from typing import Generic, TypeVar

__A    	=			TypeVar('''T''')



class 						lowercase_					(						Generic[T]  ):



      def __init__(    self   :       str    ,      A__   :       T	)					->  Union[str, Any]:
        _snake_case		=							data  # Assign data
        _snake_case		=							None  # Initialize next as null
        _snake_case		=							None  # Initialize prev as null



class 						lowercase_					(						Generic[T]  ):



      def __init__(    self   :       List[str]	)					->  None:
        _snake_case		=							None



      def 		UpperCamelCase_	(    self   :       List[str]    ,      A__   :       T	)					->  None:
        if self.head is None:
          _snake_case		=							Node(A__	)
        else:
          _snake_case		=							Node(A__	)
          _snake_case		=							new_node
          _snake_case		=							self.head
          _snake_case		=							None
          _snake_case		=							new_node



      def 		UpperCamelCase_	(    self   :       Tuple	)					->  T | None:
        if self.head is None:
          return None
        else:
          assert self.head is not None
          _snake_case		=							self.head.data
          _snake_case		=							self.head.next
          if self.head is not None:
            _snake_case		=							None
          return temp



      def 		UpperCamelCase_	(    self   :       Union[str, Any]	)					->  T | None:
        return self.head.data if self.head is not None else None



      def __len__(    self   :       Optional[int]	)					->  int:
        _snake_case		=							self.head
        _snake_case		=							0
        while temp is not None:
          count += 1
          _snake_case		=							temp.next
        return count



      def 		UpperCamelCase_	(    self   :       Union[str, Any]	)					->  bool:
        return self.head is None







      def 		UpperCamelCase_	(    self   :       Dict	)					->  None:
        print('''stack elements are:'''	)
        _snake_case		=							self.head
        while temp is not None:
          print(temp.data    ,      end='''->'''	)
          _snake_case		=							temp.next


# Code execution starts here
if __name__ == "__main__":
 # Start with the empty stack
 __A    	=			Stack()

 # Insert 4 at the beginning. So stack becomes 4->None
 print('''Stack operations using Doubly LinkedList''')
 stack.push(4)

 # Insert 5 at the beginning. So stack becomes 4->5->None
 stack.push(5)

 # Insert 6 at the beginning. So stack becomes 4->5->6->None
 stack.push(6)

 # Insert 7 at the beginning. So stack becomes 4->5->6->7->None
 stack.push(7)

 # Print the stack
 stack.print_stack()

 # Print the top element
 print('''\nTop element is ''', stack.top())

 # Print the stack size
 print('''Size of the stack is ''', len(stack))

 # pop the top element
 stack.pop()

 # pop the top element
 stack.pop()

 # two elements have now been popped off
 stack.print_stack()

 # Print True if the stack is empty else False
 print('''\nstack is empty:''', stack.is_empty())

