


"""simple docstring"""






from __future__ import annotations
def 					A_      (      _lowerCAmelCase   :    int				):






     """simple docstring"""

     _a					= [True] * limit
     _a					= False
     _a					= False
     _a					= True

     for i in range(3,   int(limit**0.5 + 1				),   2				):
          _a					= i * 2
          while index < limit:
               _a					= False
               _a					= index + i

     _a					= [2]

     for i in range(3,   __snake_case,   2				):
          if is_prime[i]:
               primes.append(__snake_case				)

     return primes
def 					A_      (      _lowerCAmelCase   :    int = 1_00_00_00				):






     """simple docstring"""

     _a					= prime_sieve(__snake_case				)
     _a					= 0
     _a					= 0

     for i in range(len(__snake_case				)				):
          for j in range(i + length,   len(__snake_case				)				):
               _a					= sum(primes[i:j]				)
               if sol >= ceiling:
                    break

               if sol in primes:
                    _a					= j - i
                    _a					= sol

     return largest


if __name__ == "__main__":
   print(f'{solution() = }')







"""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'''   )



