





import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin



class  _a  (					unittest.TestCase       ,				lowercase__				):






							"""simple docstring"""

							def   A_	(   self					:  Dict     )						->Dict:
													SCREAMING_SNAKE_CASE__  :					str =       load_tool("document-question-answering"     )
													self.tool.setup()
													SCREAMING_SNAKE_CASE__  :					Tuple =       load_tool("document-question-answering"				,						remote=a     )

							def   A_	(   self					:  Optional[Any]     )						->Dict:
													SCREAMING_SNAKE_CASE__  :					Any =       load_dataset("hf-internal-testing/example-documents"				,						split="test"     )
													SCREAMING_SNAKE_CASE__  :					Dict =       dataset[0]["image"]

													SCREAMING_SNAKE_CASE__  :					Dict =       self.tool(a				,						"When is the coffee break?"     )
													self.assertEqual(a				,						"11-14 to 11:39 a.m."     )

							def   A_	(   self					:  Any     )						->List[Any]:
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       load_dataset("hf-internal-testing/example-documents"				,						split="test"     )
													SCREAMING_SNAKE_CASE__  :					int =       dataset[0]["image"]

													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       self.remote_tool(a				,						"When is the coffee break?"     )
													self.assertEqual(a				,						"11-14 to 11:39 a.m."     )

							def   A_	(   self					:  Dict     )						->List[Any]:
													SCREAMING_SNAKE_CASE__  :					List[str] =       load_dataset("hf-internal-testing/example-documents"				,						split="test"     )
													SCREAMING_SNAKE_CASE__  :					Any =       dataset[0]["image"]

													self.tool(document=a				,						question="When is the coffee break?"     )






							def   A_	(   self					:  int     )						->Optional[int]:
													SCREAMING_SNAKE_CASE__  :					List[str] =       load_dataset("hf-internal-testing/example-documents"				,						split="test"     )
													SCREAMING_SNAKE_CASE__  :					str =       dataset[0]["image"]

													SCREAMING_SNAKE_CASE__  :					List[Any] =       self.remote_tool(document=a				,						question="When is the coffee break?"     )
													self.assertEqual(a				,						"11-14 to 11:39 a.m."     )





def     lowerCAmelCase		(		_lowerCAmelCase				: Tuple    ,				_lowerCAmelCase				: Tuple						):




 """simple docstring"""







 sequence.append(_lowerCAmelCase						)

 UpperCAmelCase__							=    0
 while sequence[index] != target:
  index += 1

 sequence.pop()

 if index == len(_lowerCAmelCase						):
  return None

 return index


if __name__ == "__main__":
  _lowerCAmelCase    : List[Any]		= input("Enter numbers separated by comma:\n").strip()
  _lowerCAmelCase    : Dict		= [int(item) for item in user_input.split(",")]

  _lowerCAmelCase    : Optional[Any]		= input("Enter a single number to be found in the list:\n")
  _lowerCAmelCase    : Tuple		= int(target_input)
  _lowerCAmelCase    : int		= sentinel_linear_search(sequence, target)
  if result is not None:
    print(F'''{target} found at positions: {result}''')
  else:
    print("Not found")





