






"""simple docstring"""



from math import pow, sqrt



def 						lowercase    (				*__snake_case				: float	):
		lowercase_ : Any							       =   len(__snake_case	) > 0 and all(value > 0.0 for value in values	)
		return result



def 						lowercase    (				__snake_case				: float		,					__snake_case				: float	):
		return (
		    round(sqrt(molar_mass_a / molar_mass_a	)		,					6	)
		    if validate(__snake_case		,					__snake_case	)
		    else ValueError('''Input Error: Molar mass values must greater than 0.'''	)
		)



def 						lowercase    (				__snake_case				: float		,					__snake_case				: float		,					__snake_case				: float	):
		return (
		    round(effusion_rate * sqrt(molar_mass_a / molar_mass_a	)		,					6	)
		    if validate(__snake_case		,					__snake_case		,					__snake_case	)
		    else ValueError(
		        '''Input Error: Molar mass and effusion rate values must greater than 0.'''	)
		)



def 						lowercase    (				__snake_case				: float		,					__snake_case				: float		,					__snake_case				: float	):
		return (
		    round(effusion_rate / sqrt(molar_mass_a / molar_mass_a	)		,					6	)
		    if validate(__snake_case		,					__snake_case		,					__snake_case	)
		    else ValueError(
		        '''Input Error: Molar mass and effusion rate values must greater than 0.'''	)
		)



def 						lowercase    (				__snake_case				: float		,					__snake_case				: float		,					__snake_case				: float	):
		return (
		    round(molar_mass / pow(effusion_rate_a / effusion_rate_a		,					2	)		,					6	)
		    if validate(__snake_case		,					__snake_case		,					__snake_case	)
		    else ValueError(
		        '''Input Error: Molar mass and effusion rate values must greater than 0.'''	)
		)






def 						lowercase    (				__snake_case				: float		,					__snake_case				: float		,					__snake_case				: float	):
		return (
		    round(pow(effusion_rate_a / effusion_rate_a		,					2	) / molar_mass		,					6	)
		    if validate(__snake_case		,					__snake_case		,					__snake_case	)
		    else ValueError(
		        '''Input Error: Molar mass and effusion rate values must greater than 0.'''	)
		)











"""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'''   )



