
class 							UpperCAmelCase   :




	'''simple docstring'''





	def __init__( self      :				Optional[Any]				):
					# numbermap keys are the number and its values are lists of indexes sorted
					# in ascending order
					__A         =				{}
					# indexmap keys are an index and it's values are the number at that index
					__A         =				{}






	def        UpperCamelCase_						( self      :				Tuple							,A      :				list | str | range							,A      :				int				):
					if isinstance(A							,(range, str)				):
									__A         =				list(A				)
					elif not isinstance(A							,A				):
									raise TypeError(
									    "binary_search_delete() only accepts either a list, range or str"				)

					__A         =				0
					__A         =				len(A				) - 1

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






	def        UpperCamelCase_						( self      :				Tuple							,A      :				list | str | range							,A      :				int				):
					if isinstance(A							,(range, str)				):
									__A         =				list(A				)
					elif not isinstance(A							,A				):
									raise TypeError(
									    "binary_search_insert() only accepts either a list, range or str"				)

					__A         =				0
					__A         =				len(A				) - 1

					while low <= high:
									__A         =				(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							,A				)
													return array
									elif array[mid] < index:
													__A         =				mid + 1
									else:
													__A         =				mid - 1

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






	def        UpperCamelCase_						( self      :				Tuple							,A      :				int							,A      :				int				):
					# Remove previous index
					if index in self.indexmap:
									__A         =				self.indexmap[index]
									if len(self.numbermap[n]				) == 1:
													del self.numbermap[n]
									else:
													__A         =				self.binary_search_delete(self.numbermap[n]							,A				)

        # Set new index
					__A         =				number

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

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







	def        UpperCamelCase_						( self      :				Dict							,A      :				int				):
					return self.numbermap.get(A							,[-1]				)[0]


if __name__ == "__main__":
					import doctest

					doctest.testmod()


import torch

from transformers import PreTrainedModel

from .custom_configuration import CustomConfig, NoSuperInitConfig





class 							UpperCAmelCase   (						__SCREAMING_SNAKE_CASE						):




	'''simple docstring'''





	snake_case_      					=  CustomConfig






	def __init__( self      :				Optional[int]							,A      :				List[str]				):
					super().__init__(A				)
					__A         =				torch.nn.Linear(config.hidden_size							,config.hidden_size				)






	def        UpperCamelCase_						( self      :				Union[str, Any]							,A      :				Optional[int]				):
					return self.linear(A				)







	def        UpperCamelCase_						( self      :				Optional[int]							,A      :				int				):
					pass





class 							UpperCAmelCase   (						__SCREAMING_SNAKE_CASE						):




	'''simple docstring'''





	snake_case_      					=  NoSuperInitConfig






	def __init__( self      :				Optional[int]							,A      :				Union[str, Any]				):
					super().__init__(A				)
					__A         =				torch.nn.Linear(config.attribute							,config.attribute				)






	def        UpperCamelCase_						( self      :				str							,A      :				Any				):
					return self.linear(A				)







	def        UpperCamelCase_						( self      :				Tuple							,A      :				int				):
					pass
