
"""simple docstring"""


class 			lowerCAmelCase_			:



						'''simple docstring'''


						def __init__(	self       : Dict )       ->				None:
							# 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   _SCREAMING_SNAKE_CASE (	self       : Optional[Any]					,A_       : list | str | range					,A_       : int )       ->				list[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   _SCREAMING_SNAKE_CASE (	self       : int					,A_       : list | str | range					,A_       : int )       ->				list[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   _SCREAMING_SNAKE_CASE (	self       : List[str]					,A_       : int					,A_       : int )       ->				None:
							# 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   _SCREAMING_SNAKE_CASE (	self       : Tuple					,A_       : int )       ->				int:
							return self.numbermap.get(A_					,[-1] )[0]


if __name__ == "__main__":
		import doctest

		doctest.testmod()

"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_lowercase											=			{'''configuration_vilt''': ['''VILT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViltConfig''']}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowercase											=			['''ViltFeatureExtractor''']
		_lowercase											=			['''ViltImageProcessor''']
		_lowercase											=			['''ViltProcessor''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowercase											=			[
		    '''VILT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''ViltForImageAndTextRetrieval''',
		    '''ViltForImagesAndTextClassification''',
		    '''ViltForTokenClassification''',
		    '''ViltForMaskedLM''',
		    '''ViltForQuestionAnswering''',
		    '''ViltLayer''',
		    '''ViltModel''',
		    '''ViltPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_vilt import ViltFeatureExtractor
				from .image_processing_vilt import ViltImageProcessor
				from .processing_vilt import ViltProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_vilt import (
				    VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ViltForImageAndTextRetrieval,
				    ViltForImagesAndTextClassification,
				    ViltForMaskedLM,
				    ViltForQuestionAnswering,
				    ViltForTokenClassification,
				    ViltLayer,
				    ViltModel,
				    ViltPreTrainedModel,
				)


else:
		import sys

		_lowercase											=			_LazyModule(__name__, globals()['''__file__'''], _import_structure)