


"""simple docstring"""



import math







class       __a	:







				def __init__(   self			,  UpperCAmelCase      ):

					'''simple docstring'''






					lowerCAmelCase_			       = len(UpperCAmelCase      )
					lowerCAmelCase_			       = [0] * (
					    4 * self.N
					)  # approximate the overall size of segment tree with array N
					self.build(1			,  0			,  self.N - 1      )







				def     lowerCamelCase_    (   self			,  UpperCAmelCase      ):

					'''simple docstring'''






					return idx * 2







				def     lowerCamelCase_    (   self			,  UpperCAmelCase      ):

					'''simple docstring'''






					return idx * 2 + 1







				def     lowerCamelCase_    (   self			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase      ):  # noqa: E741

					'''simple docstring'''






					if l == r:
						lowerCAmelCase_			       = A[l]
					else:
						lowerCAmelCase_			       = (l + r) // 2
						self.build(self.left(UpperCAmelCase      )			,  UpperCAmelCase			,  UpperCAmelCase      )
						self.build(self.right(UpperCAmelCase      )			,  mid + 1			,  UpperCAmelCase      )
						lowerCAmelCase_			       = max(self.st[self.left(UpperCAmelCase      )]			,  self.st[self.right(UpperCAmelCase      )]      )







				def     lowerCamelCase_    (   self			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase      ):

					'''simple docstring'''






					return self.update_recursive(1			,  0			,  self.N - 1			,  a - 1			,  b - 1			,  UpperCAmelCase      )







				def     lowerCamelCase_    (   self			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase      ):  # noqa: E741

					'''simple docstring'''






					if r < a or l > b:
						return True
					if l == r:
						lowerCAmelCase_			       = val
						return True
					lowerCAmelCase_			       = (l + r) // 2
					self.update_recursive(self.left(UpperCAmelCase      )			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase      )
					self.update_recursive(self.right(UpperCAmelCase      )			,  mid + 1			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase      )
					lowerCAmelCase_			       = max(self.st[self.left(UpperCAmelCase      )]			,  self.st[self.right(UpperCAmelCase      )]      )
					return True







				def     lowerCamelCase_    (   self			,  UpperCAmelCase			,  UpperCAmelCase      ):

					'''simple docstring'''






					return self.query_recursive(1			,  0			,  self.N - 1			,  a - 1			,  b - 1      )







				def     lowerCamelCase_    (   self			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase      ):  # noqa: E741

					'''simple docstring'''






					if r < a or l > b:
						return -math.inf
					if l >= a and r <= b:
						return self.st[idx]
					lowerCAmelCase_			       = (l + r) // 2
					lowerCAmelCase_			       = self.query_recursive(self.left(UpperCAmelCase      )			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase      )
					lowerCAmelCase_			       = self.query_recursive(self.right(UpperCAmelCase      )			,  mid + 1			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase      )
					return max(UpperCAmelCase			,  UpperCAmelCase      )







				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					lowerCAmelCase_			       = []
					for i in range(1			,  N + 1      ):
						show_list += [self.query(UpperCAmelCase			,  UpperCAmelCase      )]
					print(UpperCAmelCase      )


if __name__ == "__main__":
		lowercase_							 =       [1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
		lowercase_							 =       15
		lowercase_							 =       SegmentTree(A)
		print(segt.query(4, 6))
		print(segt.query(7, 11))
		print(segt.query(7, 12))
		segt.update(1, 3, 1_11)
		print(segt.query(1, 15))
		segt.update(7, 8, 2_35)
		segt.show_data()



"""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	(   __snake_case       ):
				lowerCamelCase    :					int 					={
				    'sld_warmup_steps': 15,
				    'sld_guidance_scale': 20,
				    'sld_threshold': 0.0,
				    'sld_momentum_scale': 0.0,
				    'sld_mom_beta': 0.0,
				}
				lowerCamelCase    :					Optional[Any] 					={
				    'sld_warmup_steps': 10,
				    'sld_guidance_scale': 1000,
				    'sld_threshold': 0.01,
				    'sld_momentum_scale': 0.3,
				    'sld_mom_beta': 0.4,
				}
				lowerCamelCase    :					List[str] 					={
				    'sld_warmup_steps': 7,
				    'sld_guidance_scale': 2000,
				    'sld_threshold': 0.025,
				    'sld_momentum_scale': 0.5,
				    'sld_mom_beta': 0.7,
				}
				lowerCamelCase    :					Any 					={
				    '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	(   __snake_case       ):
				lowerCamelCase    :					Union[List[PIL.Image.Image], np.ndarray]
				lowerCamelCase    :					Optional[List[bool]]
				lowerCamelCase    :					Optional[Union[List[PIL.Image.Image], np.ndarray]]
				lowerCamelCase    :					Optional[str]


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