
def        A__					(						lowerCamelCase     ,    lowerCamelCase						)  ->	int:
				UpperCamelCase_:							Dict	=						(boundary[1] - boundary[0]) / steps
				UpperCamelCase_:							Optional[int]	=						boundary[0]
				UpperCamelCase_:							Any	=						boundary[1]
				UpperCamelCase_:							Dict	=						make_points(lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase						)
				UpperCamelCase_:							Any	=						0.0
				y += (h / 2.0) * f(lowerCamelCase						)
				for i in x_i:
								# print(i)
								y += h * f(lowerCamelCase						)
				y += (h / 2.0) * f(lowerCamelCase						)
				return y







def        A__					(						lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase						)  ->	int:
				UpperCamelCase_:							List[str]	=						a + h
				while x < (b - h):
								yield x
								UpperCamelCase_:							Any	=						x + h







def        A__					(						lowerCamelCase						)  ->	int:  # enter your function here
				UpperCamelCase_:							int	=						(x - 0) * (x - 0)
				return y







def        A__					(						)  ->	Tuple:
				UpperCamelCase_:							Optional[Any]	=						0.0  # Lower bound of integration
				UpperCamelCase_:							Optional[int]	=						1.0  # Upper bound of integration
				UpperCamelCase_:							Optional[int]	=						10.0  # define number of steps or resolution
				UpperCamelCase_:							str	=						[a, b]  # define boundary of integration
				UpperCamelCase_:							Optional[int]	=						method_a(lowerCamelCase     ,    lowerCamelCase						)
				print(F'''y = {y}'''						)


if __name__ == "__main__":
							main()








import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


lowerCamelCase_						: Optional[int]         =  HUGGINGFACE_HUB_CACHE


lowerCamelCase_						: List[str]         =  """config.json"""
lowerCamelCase_						: Any         =  """diffusion_pytorch_model.bin"""
lowerCamelCase_						: Union[str, Any]         =  """diffusion_flax_model.msgpack"""
lowerCamelCase_						: Dict         =  """model.onnx"""
lowerCamelCase_						: List[Any]         =  """diffusion_pytorch_model.safetensors"""
lowerCamelCase_						: Optional[Any]         =  """weights.pb"""
lowerCamelCase_						: Optional[Any]         =  """https://huggingface.co"""
lowerCamelCase_						: Union[str, Any]         =  default_cache_path
lowerCamelCase_						: Tuple         =  """diffusers_modules"""
lowerCamelCase_						: Optional[Any]         =  os.getenv("""HF_MODULES_CACHE""", os.path.join(hf_cache_home, """modules"""))
lowerCamelCase_						: str         =  ["""fp16""", """non-ema"""]
lowerCamelCase_						: List[Any]         =  """.self_attn"""






