
"""simple docstring"""




def   __magic_name__	(      __snake_case				:       str  ) ->				list[int]:
       lowercase    :				str       		=							[0 for i in range(len(__snake_case  )  )]

       # initialize interval's left pointer and right pointer
       lowercase		,    lowercase    :				List[str]       		=							0, 0

       for i in range(1     , len(__snake_case  )  ):
              # case when current index is inside the interval
              if i <= right_pointer:
                     lowercase    :				List[str]       		=							min(right_pointer - i + 1     , z_result[i - left_pointer]  )
                     lowercase    :				Optional[Any]       		=							min_edge

              while go_next(__snake_case     , __snake_case     , __snake_case  ):
                     z_result[i] += 1

              # if new index's result gives us more right interval,
              # we've to update left_pointer and right_pointer
              if i + z_result[i] - 1 > right_pointer:
                     lowercase		,    lowercase    :				str       		=							i, i + z_result[i] - 1

       return z_result


def   __magic_name__	(      __snake_case				:       int     , __snake_case				:       list[int]     , __snake_case				:       str  ) ->				bool:
       return i + z_result[i] < len(__snake_case  ) and s[z_result[i]] == s[i + z_result[i]]


def   __magic_name__	(      __snake_case				:       str     , __snake_case				:       str  ) ->				int:
       lowercase    :				Tuple       		=							0
       # concatenate 'pattern' and 'input_str' and call z_function
       # with concatenated string
       lowercase    :				Optional[int]       		=							z_function(pattern + input_str  )

       for val in z_result:
              # if value is greater then length of the pattern string
              # that means this index is starting position of substring
              # which is equal to pattern string
              if val >= len(__snake_case  ):
                     answer += 1

       return answer


if __name__ == "__main__":
   import doctest

   doctest.testmod()




"""simple docstring"""




import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


_A			:       int   		=       """
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 		a__						(      unittest.TestCase,			a_						):
   def 			__magic_name__			(			self				):
          lowercase    :				Tuple       		=							load_tool("text-question-answering"				)
          self.tool.setup()
          lowercase    :				Dict       		=							load_tool("text-question-answering"	,    remote=_a				)
   def 			__magic_name__			(			self				):
          lowercase    :				str       		=							self.tool(_a	,    "What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)
   def 			__magic_name__			(			self				):
          lowercase    :				Union[str, Any]       		=							self.remote_tool(_a	,    "What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)
   def 			__magic_name__			(			self				):
          lowercase    :				int       		=							self.tool(text=_a	,    question="What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)

   def 			__magic_name__			(			self				):
          lowercase    :				Optional[Any]       		=							self.remote_tool(text=_a	,    question="What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)


