






from __future__ import annotations
class 							A_    :






 '''simple docstring'''




 def __init__(	self							,  _A) ->		None:

     """simple docstring"""



     _UpperCAmelCase				:      Optional[int]			  =				order

     # a_{0} ... a_{k}
     _UpperCAmelCase				:      str			  =				[1.0] + [0.0] * order
     # b_{0} ... b_{k}
     _UpperCAmelCase				:      Union[str, Any]			  =				[1.0] + [0.0] * order

     # x[n-1] ... x[n-k]
     _UpperCAmelCase				:      Dict			  =				[0.0] * self.order
     # y[n-1] ... y[n-k]
     _UpperCAmelCase				:      Union[str, Any]			  =				[0.0] * self.order


 def  snake_case__				(	self							,  _A							,  _A) ->		None:

     """simple docstring"""



     if len(_A) < self.order:
         _UpperCAmelCase				:      List[Any]			  =				[1.0, *a_coeffs]

     if len(_A) != self.order + 1:
         _UpperCAmelCase				:      Union[str, Any]			  =				(
             f'''Expected a_coeffs to have {self.order + 1} elements '''
             f'''for {self.order}-order filter, got {len(_A)}'''
         )
         raise ValueError(_A)

     if len(_A) != self.order + 1:
         _UpperCAmelCase				:      List[str]			  =				(
             f'''Expected b_coeffs to have {self.order + 1} elements '''
             f'''for {self.order}-order filter, got {len(_A)}'''
         )
         raise ValueError(_A)

     _UpperCAmelCase				:      str			  =				a_coeffs
     _UpperCAmelCase				:      Optional[Any]			  =				b_coeffs


 def  snake_case__				(	self							,  _A) ->		float:

     """simple docstring"""



     _UpperCAmelCase				:      List[str]			  =				0.0

     # Start at index 1 and do index 0 at the end.
     for i in range(1							,  self.order + 1):
         result += (
             self.b_coeffs[i] * self.input_history[i - 1]
             - self.a_coeffs[i] * self.output_history[i - 1]
         )

     _UpperCAmelCase				:      str			  =				(result + self.b_coeffs[0] * sample) / self.a_coeffs[0]

     _UpperCAmelCase				:      Any			  =				self.input_history[:-1]
     _UpperCAmelCase				:      Optional[Any]			  =				self.output_history[:-1]

     _UpperCAmelCase				:      List[str]			  =				sample
     _UpperCAmelCase				:      Dict			  =				result

     return result












import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


SCREAMING_SNAKE_CASE 							=						'\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 							A_    (						unittest.TestCase ,   __lowercase			):






 '''simple docstring'''




 def  snake_case__				(	self) ->		int:

     """simple docstring"""



     _UpperCAmelCase				:      int			  =				load_tool('''text-question-answering''')
     self.tool.setup()
     _UpperCAmelCase				:      Any			  =				load_tool('''text-question-answering'''							,  remote=_A)


 def  snake_case__				(	self) ->		Union[str, Any]:

     """simple docstring"""



     _UpperCAmelCase				:      Optional[Any]			  =				self.tool(_A							,  '''What did Hugging Face do in April 2021?''')
     self.assertEqual(_A							,  '''launched the BigScience Research Workshop''')


 def  snake_case__				(	self) ->		str:

     """simple docstring"""



     _UpperCAmelCase				:      str			  =				self.remote_tool(_A							,  '''What did Hugging Face do in April 2021?''')
     self.assertEqual(_A							,  '''launched the BigScience Research Workshop''')


 def  snake_case__				(	self) ->		Optional[int]:

     """simple docstring"""



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


 def  snake_case__				(	self) ->		Dict:

     """simple docstring"""



     _UpperCAmelCase				:      Optional[int]			  =				self.remote_tool(text=_A							,  question='''What did Hugging Face do in April 2021?''')
     self.assertEqual(_A							,  '''launched the BigScience Research Workshop''')




