

from hashlib import mda, shaaaa

lowercase     :       Optional[int]        =       (shaaaa, mda)
class 		SCREAMING_SNAKE_CASE__					:







						"""simple docstring"""




						def __init__(				self , __UpperCamelCase = 8    )							->	None:




									'''simple docstring'''


									__UpperCamelCase    :    Tuple								=      0b0
									__UpperCamelCase    :    Optional[int]								=      size

						def __lowerCamelCase					(				self , __UpperCamelCase    )							->	None:




									'''simple docstring'''


									__UpperCamelCase    :    str								=      self.hash_(__UpperCamelCase    )
									self.bitarray |= h

						def __lowerCamelCase					(				self , __UpperCamelCase    )							->	bool:




									'''simple docstring'''


									__UpperCamelCase    :    Optional[Any]								=      self.hash_(__UpperCamelCase    )
									return (h & self.bitarray) == h

						def __contains__(				self , __UpperCamelCase    )							->	bool:




									'''simple docstring'''


									return self.exists(__UpperCamelCase    )

						def __lowerCamelCase					(				self , __UpperCamelCase    )							->	str:




									'''simple docstring'''


									__UpperCamelCase    :    Tuple								=      bin(__UpperCamelCase    )[2:]
									return res.zfill(self.size    )

						@property
						def __lowerCamelCase					(				self    )							->	str:




									'''simple docstring'''


									return self.format_bin(self.bitarray    )

						def __lowerCamelCase					(				self , __UpperCamelCase    )							->	int:




									'''simple docstring'''


									__UpperCamelCase    :    Union[str, Any]								=      0b0
									for func in HASH_FUNCTIONS:
												__UpperCamelCase    :    Tuple								=      (
												    int.from_bytes(func(value.encode()    ).digest() , "little"    ) % self.size
												)
												res |= 2**position
									return res

						def __lowerCamelCase					(				self , __UpperCamelCase    )							->	str:




									'''simple docstring'''


									return self.format_bin(self.hash_(__UpperCamelCase    )    )




						@property
						def __lowerCamelCase					(				self    )							->	float:




									'''simple docstring'''


									__UpperCamelCase    :    List[str]								=      bin(self.bitarray    ).count("1"    )
									return (n_ones / self.size) ** len(__UpperCamelCase    )


import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


lowercase     :       Dict        =       "\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 		SCREAMING_SNAKE_CASE__					(		unittest.TestCase						,	lowerCamelCase__   ):







						"""simple docstring"""




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




									'''simple docstring'''


									__UpperCamelCase    :    str								=      load_tool("summarization"    )
									self.tool.setup()
									__UpperCamelCase    :    str								=      load_tool("summarization" , remote=__UpperCamelCase    )

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




									'''simple docstring'''


									__UpperCamelCase    :    Union[str, Any]								=      self.tool(__UpperCamelCase    )
									self.assertEqual(
									    __UpperCamelCase , "Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. 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. In 2022, the workshop concluded with the announcement of BLOOM." , )

						def __lowerCamelCase					(				self    )							->	int:




									'''simple docstring'''


									__UpperCamelCase    :    Any								=      self.remote_tool(__UpperCamelCase    )
									self.assertEqual(
									    __UpperCamelCase , "Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. 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. In 2022, the workshop concluded with the announcement of BLOOM." , )

						def __lowerCamelCase					(				self    )							->	List[Any]:




									'''simple docstring'''


									__UpperCamelCase    :    List[Any]								=      self.tool(text=__UpperCamelCase    )
									self.assertEqual(
									    __UpperCamelCase , "Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. 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. In 2022, the workshop concluded with the announcement of BLOOM." , )




						def __lowerCamelCase					(				self    )							->	str:




									'''simple docstring'''


									__UpperCamelCase    :    str								=      self.remote_tool(text=__UpperCamelCase    )
									self.assertEqual(
									    __UpperCamelCase , "Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. 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. In 2022, the workshop concluded with the announcement of BLOOM." , )