"""simple docstring"""






from __future__ import annotations

import random
import string
class     snake_case	:




					"""simple docstring"""

					def __init__(    self       :     List[str]   ,lowerCamelCase__       :     str | None = None      ):
									UpperCAmelCase__					=							passcode or self.__passcode_creator()
									UpperCAmelCase__					=							self.__make_key_list()
									UpperCAmelCase__					=							self.__make_shift_key()







					def __str__(    self       :     List[str]      ):
									return "".join(self.__passcode      )







					def 		__lowerCAmelCase						(    self       :     Optional[Any]   ,lowerCamelCase__       :     list[int]      ):
									for i in range(1   ,len(lowerCamelCase__      )   ,2      ):
													iterlist[i] *= -1
									return iterlist







					def 		__lowerCAmelCase						(    self       :     List[str]      ):
									UpperCAmelCase__					=							string.ascii_letters + string.digits
									UpperCAmelCase__					=							[random.choice(lowerCamelCase__      ) for _ in range(random.randint(10   ,20      )      )]
									return password







					def 		__lowerCAmelCase						(    self       :     int      ):
									UpperCAmelCase__					=							(
									    string.ascii_letters + string.digits + string.punctuation + ' \t\n'
									)

									UpperCAmelCase__					=							[]

									# creates points known as breakpoints to break the key_list_options at those
									# points and pivot each substring
									UpperCAmelCase__					=							sorted(set(self.__passcode      )      )
									UpperCAmelCase__					=							[]

									# algorithm for creating a new shuffled list, keys_l, out of key_list_options
									for i in key_list_options:
													temp_list.extend(lowerCamelCase__      )

													# checking breakpoints at which to pivot temporary sublist and add it into
													# keys_l
													if i in breakpoints or i == key_list_options[-1]:
																	keys_l.extend(temp_list[::-1]      )
																	temp_list.clear()

        # returning a shuffled keys_l to prevent brute force guessing of shift key
									return keys_l







					def 		__lowerCAmelCase						(    self       :     Optional[Any]      ):
									UpperCAmelCase__					=							sum(self.__neg_pos([ord(lowerCamelCase__      ) for x in self.__passcode]      )      )
									return num if num > 0 else len(self.__passcode      )







					def 		__lowerCAmelCase						(    self       :     Tuple   ,lowerCamelCase__       :     str      ):
									UpperCAmelCase__					=							''

									# decoding shift like Caesar cipher algorithm implementing negative shift or
									# reverse shift or left shift
									for i in encoded_message:
													UpperCAmelCase__					=							self.__key_list.index(lowerCamelCase__      )
													decoded_message += self.__key_list[
													    (position - self.__shift_key) % -len(self.__key_list      )
													]

									return decoded_message







					def 		__lowerCAmelCase						(    self       :     List[Any]   ,lowerCamelCase__       :     str      ):
									UpperCAmelCase__					=							''

									# encoding shift like Caesar cipher algorithm implementing positive shift or
									# forward shift or right shift
									for i in plaintext:
													UpperCAmelCase__					=							self.__key_list.index(lowerCamelCase__      )
													encoded_message += self.__key_list[
													    (position + self.__shift_key) % len(self.__key_list      )
													]

									return encoded_message






def   a_						( lowerCamelCase = "Hello, this is a modified Caesar cipher"	):
				UpperCAmelCase__					=							ShuffledShiftCipher()
				return cipa.decrypt(cipa.encrypt(lowerCamelCase	)	)


if __name__ == "__main__":
						import doctest

						doctest.testmod()




"""simple docstring"""






import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


lowerCAmelCase__  :  List[Any]											=     '\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     snake_case	(			unittest.TestCase				,   __UpperCAmelCase    ):




					"""simple docstring"""

					def 		__lowerCAmelCase						(    self       :     Tuple      ):
									UpperCAmelCase__					=							load_tool('summarization'      )
									self.tool.setup()
									UpperCAmelCase__					=							load_tool('summarization'   ,remote=lowerCamelCase__      )







					def 		__lowerCAmelCase						(    self       :     Union[str, Any]      ):
									UpperCAmelCase__					=							self.tool(lowerCamelCase__      )
									self.assertEqual(
									    lowerCamelCase__   ,'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       :     Tuple      ):
									UpperCAmelCase__					=							self.remote_tool(lowerCamelCase__      )
									self.assertEqual(
									    lowerCamelCase__   ,'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]      ):
									UpperCAmelCase__					=							self.tool(text=lowerCamelCase__      )
									self.assertEqual(
									    lowerCamelCase__   ,'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       :     Tuple      ):
									UpperCAmelCase__					=							self.remote_tool(text=lowerCamelCase__      )
									self.assertEqual(
									    lowerCamelCase__   ,'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.'   ,)



