




class       lowercase_		:



						def __init__( self  :      Optional[int]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       {}
								# indexmap keys are an index and it's values are the number at that index
								SCREAMING_SNAKE_CASE_							=       {}



						def   __a				( self  :      Union[str, Any]				,       snake_case__  :      list | str | range				,       snake_case__  :      int     ):

								"""simple docstring"""

								if isinstance(snake_case__				,       (range, str)     ):
										SCREAMING_SNAKE_CASE_							=       list(snake_case__     )
								elif not isinstance(snake_case__				,       snake_case__     ):
										raise TypeError(
										    'binary_search_delete() only accepts either a list, range or str'     )

								SCREAMING_SNAKE_CASE_							=       0
								SCREAMING_SNAKE_CASE_							=       len(snake_case__     ) - 1

								while low <= high:
										SCREAMING_SNAKE_CASE_							=       (low + high) // 2
										if array[mid] == item:
												array.pop(snake_case__     )
												return array
										elif array[mid] < item:
												SCREAMING_SNAKE_CASE_							=       mid + 1
										else:
												SCREAMING_SNAKE_CASE_							=       mid - 1
								raise ValueError(
								    'Either the item is not in the array or the array was unsorted'     )



						def   __a				( self  :      Any				,       snake_case__  :      list | str | range				,       snake_case__  :      int     ):

								"""simple docstring"""

								if isinstance(snake_case__				,       (range, str)     ):
										SCREAMING_SNAKE_CASE_							=       list(snake_case__     )
								elif not isinstance(snake_case__				,       snake_case__     ):
										raise TypeError(
										    'binary_search_insert() only accepts either a list, range or str'     )

								SCREAMING_SNAKE_CASE_							=       0
								SCREAMING_SNAKE_CASE_							=       len(snake_case__     ) - 1

								while low <= high:
										SCREAMING_SNAKE_CASE_							=       (low + high) // 2
										if array[mid] == index:
												# If the item already exists in the array,
												# insert it after the existing item
												array.insert(mid + 1				,       snake_case__     )
												return array
										elif array[mid] < index:
												SCREAMING_SNAKE_CASE_							=       mid + 1
										else:
												SCREAMING_SNAKE_CASE_							=       mid - 1

        # If the item doesn't exist in the array, insert it at the appropriate position
								array.insert(snake_case__				,       snake_case__     )
								return array



						def   __a				( self  :      List[str]				,       snake_case__  :      int				,       snake_case__  :      int     ):

								"""simple docstring"""

								if index in self.indexmap:
										SCREAMING_SNAKE_CASE_							=       self.indexmap[index]
										if len(self.numbermap[n]     ) == 1:
												del self.numbermap[n]
										else:
												SCREAMING_SNAKE_CASE_							=       self.binary_search_delete(self.numbermap[n]				,       snake_case__     )

        # Set new index
								SCREAMING_SNAKE_CASE_							=       number

								# Number not seen before or empty so insert number value
								if number not in self.numbermap:
										SCREAMING_SNAKE_CASE_							=       [index]

								# Here we need to perform a binary search insertion in order to insert
								# The item in the correct place
								else:
										SCREAMING_SNAKE_CASE_							=       self.binary_search_insert(
										    self.numbermap[number]				,       snake_case__     )






						def   __a				( self  :      Optional[Any]				,       snake_case__  :      int     ):

								"""simple docstring"""

								return self.numbermap.get(snake_case__				,       [-1]     )[0]


if __name__ == "__main__":
						import doctest

						doctest.testmod()





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


SCREAMING_SNAKE_CASE:    List[str]											=   '''
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       lowercase_		(unittest.TestCase       ,  SCREAMING_SNAKE_CASE__   ):



						def   __a				( self  :      Dict     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       load_tool('summarization'     )
								self.tool.setup()
								SCREAMING_SNAKE_CASE_							=       load_tool('summarization'				,       remote=snake_case__     )



						def   __a				( self  :      Union[str, Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.tool(snake_case__     )
								self.assertEqual(
								    snake_case__				,       '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   __a				( self  :      List[str]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.remote_tool(snake_case__     )
								self.assertEqual(
								    snake_case__				,       '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   __a				( self  :      Optional[Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.tool(text=snake_case__     )
								self.assertEqual(
								    snake_case__				,       '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   __a				( self  :      List[Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.remote_tool(text=snake_case__     )
								self.assertEqual(
								    snake_case__				,       '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.'				,       )