






import copy

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


__snake_case							      =						logging.get_logger(__name__)







class     UpperCAmelCase_		(      lowercase				):



      """simple docstring"""
      UpperCamelCase_       :      str     ='hybrid-clip'
      UpperCamelCase_       :      Tuple     =True
      def __init__(       self					,       SCREAMING_SNAKE_CASE_=512					,       **SCREAMING_SNAKE_CASE_				)       ->   Optional[Any]:
          super().__init__(**SCREAMING_SNAKE_CASE_				)

          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`.'''				)

          UpperCamelCase :int										=     kwargs.pop('''text_config'''				)
          UpperCamelCase :List[Any]										=     kwargs.pop('''vision_config'''				)

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

          from transformers import AutoConfig

          UpperCamelCase :List[Any]										=     AutoConfig.for_model(SCREAMING_SNAKE_CASE_					,       **SCREAMING_SNAKE_CASE_				)

          if vision_model_type == "clip":
              UpperCamelCase :Any										=     AutoConfig.for_model(SCREAMING_SNAKE_CASE_					,       **SCREAMING_SNAKE_CASE_				).vision_config
          elif vision_model_type == "clip_vision_model":
              from transformers import CLIPVisionConfig

              UpperCamelCase :str										=     CLIPVisionConfig(**SCREAMING_SNAKE_CASE_				)
          else:
              UpperCamelCase :List[str]										=     AutoConfig.for_model(SCREAMING_SNAKE_CASE_					,       **SCREAMING_SNAKE_CASE_				)

          UpperCamelCase :Tuple										=     projection_dim
          UpperCamelCase :Any										=     1.0
      @classmethod
      def 					UpperCAmelCase		(       cls					,       SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_					,       **SCREAMING_SNAKE_CASE_				)       ->   Dict:
          return cls(text_config=text_config.to_dict()					,       vision_config=vision_config.to_dict()					,       **SCREAMING_SNAKE_CASE_				)




      def 					UpperCAmelCase		(       self				)       ->   Any:
          UpperCamelCase :List[str]										=     copy.deepcopy(self.__dict__				)
          UpperCamelCase :List[str]										=     self.text_config.to_dict()
          UpperCamelCase :Optional[int]										=     self.vision_config.to_dict()
          UpperCamelCase :Optional[Any]										=     self.__class__.model_type
          return output













from __future__ import annotations







class     UpperCAmelCase_		:



      """simple docstring"""
      def __init__(       self					,       SCREAMING_SNAKE_CASE_				)       ->   None:
          UpperCamelCase :Tuple										=     value
          UpperCamelCase :Node | None										=     None
          UpperCamelCase :Node | None										=     None







class     UpperCAmelCase_		:



      """simple docstring"""
      UpperCamelCase_       :      int
      def __init__(       self				)       ->   None:
          UpperCamelCase :List[Any]										=     0
      def 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_				)       ->   None:
          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 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_ = None				)       ->   int:
          if node is None:
              return 0
          if target is not None:
              UpperCamelCase :Tuple										=     target

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

          return self.paths


if __name__ == "__main__":
 import doctest

 doctest.testmod()





