




"""simple docstring"""




import copy

from transformers.configuration_utils import PretrainedConfig
from transformers.utils import logging


a_            =   logging.get_logger(__name__)

class        UpperCAmelCase_  (	snake_case						):
		UpperCamelCase									="hybrid-clip"
		UpperCamelCase									=True
		def __init__(		self							,		UpperCamelCase_=5_12							,		**UpperCamelCase_   )		->   Optional[int]:
					super().__init__(**UpperCamelCase_   )

					if "text_config" not in kwargs:
								raise ValueError('''`text_config` can not be `None`.'''   )

					if "vision_config" not in kwargs:
								raise ValueError('''`vision_config` can not be `None`.'''   )

					__lowercase	:       Optional[Any]				=   kwargs.pop('''text_config'''   )
					__lowercase	:       Any				=   kwargs.pop('''vision_config'''   )

					__lowercase	:       List[Any]				=   text_config.pop('''model_type'''   )
					__lowercase	:       List[str]				=   vision_config.pop('''model_type'''   )

					from transformers import AutoConfig

					__lowercase	:       Optional[Any]				=   AutoConfig.for_model(UpperCamelCase_							,		**UpperCamelCase_   )

					if vision_model_type == "clip":
								__lowercase	:       Union[str, Any]				=   AutoConfig.for_model(UpperCamelCase_							,		**UpperCamelCase_   ).vision_config
					elif vision_model_type == "clip_vision_model":
								from transformers import CLIPVisionConfig

								__lowercase	:       Optional[Any]				=   CLIPVisionConfig(**UpperCamelCase_   )
					else:
								__lowercase	:       List[str]				=   AutoConfig.for_model(UpperCamelCase_							,		**UpperCamelCase_   )

					__lowercase	:       List[str]				=   projection_dim
					__lowercase	:       Union[str, Any]				=   1.0
		@classmethod
		def 					_lowerCamelCase    (		cls							,		UpperCamelCase_							,		UpperCamelCase_							,		**UpperCamelCase_   )		->   Optional[int]:
					return cls(text_config=text_config.to_dict()							,		vision_config=vision_config.to_dict()							,		**UpperCamelCase_   )
		def 					_lowerCamelCase    (		self   )		->   List[Any]:
					__lowercase	:       List[Any]				=   copy.deepcopy(self.__dict__   )
					__lowercase	:       Tuple				=   self.text_config.to_dict()
					__lowercase	:       List[Any]				=   self.vision_config.to_dict()
					__lowercase	:       str				=   self.__class__.model_type
					return output









"""simple docstring"""




from collections.abc import Callable

a_            =   Callable[[float], float]  # type alias for a real -> real function







def       __UpperCAmelCase      (				__UpperCamelCase					,							__UpperCamelCase					,							__UpperCamelCase					,							):
			__lowercase	:       str				=   float(__UpperCamelCase					)
			while True:
						try:
									__lowercase	:       Dict				=   prev_guess - function(__UpperCamelCase					) / derivative(__UpperCamelCase					)
						except ZeroDivisionError:
									raise ZeroDivisionError('''Could not find root'''					) from None
						if abs(prev_guess - next_guess					) < 10**-5:
									return next_guess
						__lowercase	:       List[Any]				=   next_guess







def       __UpperCAmelCase      (				__UpperCamelCase					):
			return (x**3) - (2 * x) - 5







def       __UpperCAmelCase      (				__UpperCamelCase					):
			return 3 * (x**2) - 2


if __name__ == "__main__":
			print(newton(f, fa, 3))



