


"""simple docstring"""






from __future__ import annotations

from dataclasses import dataclass


@dataclass
class 			__lowerCamelCase     :

     '''simple docstring'''
     A_				:		float
     A_				:		TreeNode | None			=						None
     A_				:		TreeNode | None			=						None







def 					A_      (      _lowerCAmelCase   :    TreeNode | None				):






     """simple docstring"""

     def is_valid_tree(_lowerCAmelCase   :    TreeNode | None				) -> bool:
          if node is None:
               return True

          if not isinstance(__snake_case,   __snake_case				):
               return False

          try:
               float(node.data				)
          except (TypeError, ValueError):
               return False

          return is_valid_tree(node.left				) and is_valid_tree(node.right				)

     if not is_valid_tree(__snake_case				):
          raise ValueError(
              '''Each node should be type of TreeNode and data should be float.'''				)

     def is_binary_search_tree_recursive_check(
         _lowerCAmelCase   :    TreeNode | None,   _lowerCAmelCase   :    float,   _lowerCAmelCase   :    float				) -> bool:

          if node is None:
               return True

          return (
              left_bound < node.data < right_bound
              and is_binary_search_tree_recursive_check(node.left,   __snake_case,   node.data				)
              and is_binary_search_tree_recursive_check(
                  node.right,   node.data,   __snake_case				)
          )

     return is_binary_search_tree_recursive_check(__snake_case,   -float('''inf'''				),   float('''inf'''				)				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()







"""simple docstring"""



import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


__A		:       Dict  				=		'''
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.

In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]

On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
'''





class 					_UpperCAmelCase       ( unittest.TestCase   ,						_A							):




					def   A  (				self     :						List[Any]   )  ->  Dict:
							lowercase_ : Optional[int]							       =   load_tool('''text-question-answering'''   )
							self.tool.setup()
							lowercase_ : Union[str, Any]							       =   load_tool('''text-question-answering'''    ,						remote=A   )




					def   A  (				self     :						Any   )  ->  List[str]:
							lowercase_ : Union[str, Any]							       =   self.tool(A    ,						'''What did Hugging Face do in April 2021?'''   )
							self.assertEqual(A    ,						'''launched the BigScience Research Workshop'''   )




					def   A  (				self     :						str   )  ->  List[str]:
							lowercase_ : int							       =   self.remote_tool(A    ,						'''What did Hugging Face do in April 2021?'''   )
							self.assertEqual(A    ,						'''launched the BigScience Research Workshop'''   )




					def   A  (				self     :						List[Any]   )  ->  int:
							lowercase_ : Optional[Any]							       =   self.tool(text=A    ,						question='''What did Hugging Face do in April 2021?'''   )
							self.assertEqual(A    ,						'''launched the BigScience Research Workshop'''   )






					def   A  (				self     :						List[str]   )  ->  Optional[int]:
							lowercase_ : int							       =   self.remote_tool(text=A    ,						question='''What did Hugging Face do in April 2021?'''   )
							self.assertEqual(A    ,						'''launched the BigScience Research Workshop'''   )



