

def 	a (     A__      :  str ,  A__      :  int	)       -> str:





      """simple docstring"""



      _lowercase      			=[[] for _ in range(A__	)]
      _lowercase      			=key - 1

      if key <= 0:
            raise ValueError('Height of grid can\'t be 0 or negative'	)
      if key == 1 or len(A__	) <= key:
            return input_string

      for position, character in enumerate(A__	):
            _lowercase      			=position % (lowest * 2)  # puts it in bounds
            _lowercase      			=min(A__ ,  lowest * 2 - num	)  # creates zigzag pattern
            temp_grid[num].append(A__	)
      _lowercase      			=[''.join(A__	) for row in temp_grid]
      _lowercase      			=''.join(A__	)

      return output_string
def 	a (     A__      :  str ,  A__      :  int	)       -> str:





      """simple docstring"""



      _lowercase      			=[]
      _lowercase      			=key - 1

      if key <= 0:
            raise ValueError('Height of grid can\'t be 0 or negative'	)
      if key == 1:
            return input_string

      _lowercase      			=[[] for _ in range(A__	)]  # generates template
      for position in range(len(A__	)	):
            _lowercase      			=position % (lowest * 2)  # puts it in bounds
            _lowercase      			=min(A__ ,  lowest * 2 - num	)  # creates zigzag pattern
            temp_grid[num].append('*'	)

      _lowercase      			=0
      for row in temp_grid:  # fills in the characters
            _lowercase      			=input_string[counter : counter + len(A__	)]
            grid.append(list(A__	)	)
            counter += len(A__	)

      _lowercase      			=''  # reads as zigzag
      for position in range(len(A__	)	):
            _lowercase      			=position % (lowest * 2)  # puts it in bounds
            _lowercase      			=min(A__ ,  lowest * 2 - num	)  # creates zigzag pattern
            output_string += grid[num][0]
            grid[num].pop(0	)
      return output_string
def 	a (     A__      :  str	)       -> dict[int, str]:





      """simple docstring"""



      _lowercase      			={}
      for key_guess in range(1 ,  len(A__	)	):  # tries every key
            _lowercase      			=decrypt(A__ ,  A__	)
      return results


if __name__ == "__main__":
  import doctest

  doctest.testmod()





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


lowercase_   							=  '\nHugging 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.\n\nIn March 2021, Hugging Face raised $40 million in a Series B funding round.[3]\n\nOn 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]\n'





class 					__lowerCAmelCase	(   unittest.TestCase     ,     SCREAMING_SNAKE_CASE				):




  def     A__	(							self   )    ->					Union[str, Any]:
        '''simple docstring'''






        _lowercase      			=load_tool('text-question-answering'   )
        self.tool.setup()
        _lowercase      			=load_tool('text-question-answering'				,  remote=lowerCAmelCase   )




  def     A__	(							self   )    ->					Dict:
        '''simple docstring'''






        _lowercase      			=self.tool(lowerCAmelCase				,  'What did Hugging Face do in April 2021?'   )
        self.assertEqual(lowerCAmelCase				,  'launched the BigScience Research Workshop'   )




  def     A__	(							self   )    ->					Optional[Any]:
        '''simple docstring'''






        _lowercase      			=self.remote_tool(lowerCAmelCase				,  'What did Hugging Face do in April 2021?'   )
        self.assertEqual(lowerCAmelCase				,  'launched the BigScience Research Workshop'   )




  def     A__	(							self   )    ->					Any:
        '''simple docstring'''






        _lowercase      			=self.tool(text=lowerCAmelCase				,  question='What did Hugging Face do in April 2021?'   )
        self.assertEqual(lowerCAmelCase				,  'launched the BigScience Research Workshop'   )




  def     A__	(							self   )    ->					Optional[int]:
        '''simple docstring'''






        _lowercase      			=self.remote_tool(text=lowerCAmelCase				,  question='What did Hugging Face do in April 2021?'   )
        self.assertEqual(lowerCAmelCase				,  'launched the BigScience Research Workshop'   )


