


'''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 						lowerCAmelCase__      (      lowerCAmelCase__						):
			lowerCAmelCase			:						Optional[int]							 =  {
			    "sld_warmup_steps": 15,
			    "sld_guidance_scale": 20,
			    "sld_threshold": 0.0,
			    "sld_momentum_scale": 0.0,
			    "sld_mom_beta": 0.0,
			}
			lowerCAmelCase			:						str							 =  {
			    "sld_warmup_steps": 10,
			    "sld_guidance_scale": 1_000,
			    "sld_threshold": 0.01,
			    "sld_momentum_scale": 0.3,
			    "sld_mom_beta": 0.4,
			}
			lowerCAmelCase			:						List[Any]							 =  {
			    "sld_warmup_steps": 7,
			    "sld_guidance_scale": 2_000,
			    "sld_threshold": 0.025,
			    "sld_momentum_scale": 0.5,
			    "sld_mom_beta": 0.7,
			}
			lowerCAmelCase			:						Union[str, Any]							 =  {
			    "sld_warmup_steps": 0,
			    "sld_guidance_scale": 5_000,
			    "sld_threshold": 1.0,
			    "sld_momentum_scale": 0.5,
			    "sld_mom_beta": 0.7,
			}






@dataclass
class 						lowerCAmelCase__      (      lowerCAmelCase__						):
			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





def 				__SCREAMING_SNAKE_CASE  (						SCREAMING_SNAKE_CASE			: Union[str, Any]       ,				SCREAMING_SNAKE_CASE			: Any     )	->		Tuple:
				# "Simpson Rule"
				# int(f) = delta_x/2 * (b-a)/3*(f1 + 4f2 + 2f_3 + ... + fn)
				__lowercase								=   (boundary[1] - boundary[0]) / steps
				__lowercase								=   boundary[0]
				__lowercase								=   boundary[1]
				__lowercase								=   make_points(SCREAMING_SNAKE_CASE       ,				SCREAMING_SNAKE_CASE       ,				SCREAMING_SNAKE_CASE     )
				__lowercase								=   0.0
				y += (h / 3.0) * f(SCREAMING_SNAKE_CASE     )
				__lowercase								=   2
				for i in x_i:
								y += (h / 3) * (4 - 2 * (cnt % 2)) * f(SCREAMING_SNAKE_CASE     )
								cnt += 1
				y += (h / 3.0) * f(SCREAMING_SNAKE_CASE     )
				return y




def 				__SCREAMING_SNAKE_CASE  (						SCREAMING_SNAKE_CASE			: List[Any]       ,				SCREAMING_SNAKE_CASE			: Dict       ,				SCREAMING_SNAKE_CASE			: int     )	->		Any:
				__lowercase								=   a + h
				while x < (b - h):
								yield x
								__lowercase								=   x + h




def 				__SCREAMING_SNAKE_CASE  (						SCREAMING_SNAKE_CASE			: Any     )	->		List[Any]:  # enter your function here
				__lowercase								=   (x - 0) * (x - 0)
				return y




def 				__SCREAMING_SNAKE_CASE  (						)	->		List[str]:
				__lowercase								=   0.0  # Lower bound of integration
				__lowercase								=   1.0  # Upper bound of integration
				__lowercase								=   10.0  # define number of steps or resolution
				__lowercase								=   [a, b]  # define boundary of integration
				__lowercase								=   method_a(SCREAMING_SNAKE_CASE       ,				SCREAMING_SNAKE_CASE     )
				print(F"""y = {y}"""     )


if __name__ == "__main__":
							main()





