

lowercase     :       Optional[int]        =       [chr(i) for i in range(32, 126)]
lowercase     :       List[Any]        =       list(range(len(alphabets)))
lowercase     :       Any        =       list(range(len(alphabets)))
lowercase     :       List[Any]        =       list(range(len(alphabets)))
lowercase     :       int        =       list(reversed(range(len(alphabets))))
lowercase     :       List[str]        =       []
lowercase     :       Dict        =       0







def  UpperCAmelCase_   ():
			global gear_one_pos
			global gear_two_pos
			global gear_three_pos
			__UpperCamelCase    :    Any								=      gear_one[0]
			gear_one.append(lowercase_		)
			del gear_one[0]
			gear_one_pos += 1
			if gear_one_pos % int(len(lowercase_		)		) == 0:
						__UpperCamelCase    :    str								=      gear_two[0]
						gear_two.append(lowercase_		)
						del gear_two[0]
						gear_two_pos += 1
						if gear_two_pos % int(len(lowercase_		)		) == 0:
									__UpperCamelCase    :    int								=      gear_three[0]
									gear_three.append(lowercase_		)
									del gear_three[0]
									gear_three_pos += 1







def  UpperCAmelCase_   (_lowerCAmelCase :		List[Any]		):
			__UpperCamelCase    :    Dict								=      alphabets.index(lowercase_		)
			__UpperCamelCase    :    Union[str, Any]								=      gear_one[target]
			__UpperCamelCase    :    Any								=      gear_two[target]
			__UpperCamelCase    :    Tuple								=      gear_three[target]
			__UpperCamelCase    :    Tuple								=      reflector[target]
			__UpperCamelCase    :    Any								=      gear_three.index(lowercase_		)
			__UpperCamelCase    :    Any								=      gear_two.index(lowercase_		)
			__UpperCamelCase    :    str								=      gear_one.index(lowercase_		)
			code.append(alphabets[target]		)
			rotator()


if __name__ == "__main__":
					lowercase     :       Dict        =       list(input("Type your message:\n"))
					while True:
										try:
															lowercase     :       Optional[Any]        =       int(input("Please set token:(must be only digits)\n"))
															break
										except Exception as error:
															print(error)
					for _ in range(token):
										rotator()
					for j in decode:
										engine(j)
					print("\n" + "".join(code))
					print(
					    F"""\nYour Token is {token} please write it down.\nIf you want to decode """
					    "this message again you should input same digits as token!"
					)


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." , )