



'''simple docstring'''

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
from ..clip.configuration_clip import CLIPVisionConfig


__lowerCAmelCase     :   List[Any]		    =     logging.get_logger(__name__)

class 			__magic_name__		(					_UpperCamelCase     ):
							lowerCAmelCase :					Tuple            =      'vision-text-dual-encoder'
							lowerCAmelCase :					Dict            =      True







							def __init__(							self      : int			,_UpperCAmelCase      : Optional[Any]=512			,_UpperCAmelCase      : str=2.65_92			,**_UpperCAmelCase      : List[Any]	):
									super().__init__(**_UpperCAmelCase	)

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

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

									_a  :   Dict				 =							kwargs.pop('vision_config'	)
									_a  :   Optional[int]				 =							kwargs.pop('text_config'	)

									_a  :   int				 =							vision_config.pop('model_type'	)
									_a  :   List[Any]				 =							text_config.pop('model_type'	)

									if vision_model_type == "clip":
											_a  :   List[str]				 =							AutoConfig.for_model(_UpperCAmelCase			,**_UpperCAmelCase	).vision_config
									elif vision_model_type == "clip_vision_model":
											_a  :   Optional[Any]				 =							CLIPVisionConfig(**_UpperCAmelCase	)
									else:
											_a  :   str				 =							AutoConfig.for_model(_UpperCAmelCase			,**_UpperCAmelCase	)

									_a  :   Tuple				 =							AutoConfig.for_model(_UpperCAmelCase			,**_UpperCAmelCase	)

									_a  :   Union[str, Any]				 =							projection_dim
									_a  :   Tuple				 =							logit_scale_init_value







							@classmethod
							def 							__lowercase    (							cls      : Optional[int]			,_UpperCAmelCase      : PretrainedConfig			,_UpperCAmelCase      : PretrainedConfig			,**_UpperCAmelCase      : Optional[Any]	):
									return cls(vision_config=vision_config.to_dict()			,text_config=text_config.to_dict()			,**_UpperCAmelCase	)







							def 							__lowercase    (							self      : Dict	):
									_a  :   Dict				 =							copy.deepcopy(self.__dict__	)
									_a  :   Tuple				 =							self.vision_config.to_dict()
									_a  :   str				 =							self.text_config.to_dict()
									_a  :   List[Any]				 =							self.__class__.model_type
									return output









'''simple docstring'''

from __future__ import annotations

class 			__magic_name__		:







							def __init__(							self      : List[Any]			,_UpperCAmelCase      : int	):
									_a  :   Tuple				 =							value
									_a  :   Node | None				 =							None
									_a  :   Node | None				 =							None

class 			__magic_name__		:
							lowerCAmelCase :					int







							def __init__(							self      : Union[str, Any]	):
									_a  :   Tuple				 =							0







							def 							__lowercase    (							self      : Tuple			,_UpperCAmelCase      : Node | None			,_UpperCAmelCase      : int	):
									if node is None:
											return

									if path_sum == self.target:
											self.paths += 1

									if node.left:
											self.depth_first_search(node.left			,path_sum + node.left.value	)
									if node.right:
											self.depth_first_search(node.right			,path_sum + node.right.value	)







							def 							__lowercase    (							self      : Union[str, Any]			,_UpperCAmelCase      : Node | None			,_UpperCAmelCase      : int | None = None	):
									if node is None:
											return 0
									if target is not None:
											_a  :   Any				 =							target

									self.depth_first_search(_UpperCAmelCase			,node.value	)
									self.path_sum(node.left	)
									self.path_sum(node.right	)

									return self.paths


if __name__ == "__main__":
							import doctest

							doctest.testmod()




