


class 	lowerCAmelCase__			:




			def __init__(		self  :     Dict	,  lowerCamelCase__  :     Dict )   ->None:



					'''simple docstring'''







					_UpperCAmelCase		:       List[str]								=      size
					_UpperCAmelCase		:       Optional[int]								=      [0] * size
					_UpperCAmelCase		:       Optional[int]								=      [0] * size




			@staticmethod
			def 							lowerCAmelCase__    (		lowerCamelCase__  :     List[Any] )   ->int:



					'''simple docstring'''







					return index | (index + 1)




			@staticmethod
			def 							lowerCAmelCase__    (		lowerCamelCase__  :     Dict )   ->int:



					'''simple docstring'''







					return (index & (index + 1)) - 1




			def 							lowerCAmelCase__    (		self  :     Any	,  lowerCamelCase__  :     Any	,  lowerCamelCase__  :     Union[str, Any] )   ->None:



					'''simple docstring'''







					_UpperCAmelCase		:       Optional[Any]								=      value
					while index < self.size:
							_UpperCAmelCase		:       Optional[int]								=      self.get_prev(lowercase__ ) + 1
							if current_left_border == index:
									_UpperCAmelCase		:       Optional[int]								=      value
							else:
									_UpperCAmelCase		:       Dict								=      max(lowercase__	,  lowercase__	,  lowercase__ )
							_UpperCAmelCase		:       Tuple								=      self.get_next(lowercase__ )






			def 							lowerCAmelCase__    (		self  :     Any	,  lowerCamelCase__  :     str	,  lowerCamelCase__  :     Optional[Any] )   ->int:



					'''simple docstring'''







					right -= 1  # Because of right is exclusive
					_UpperCAmelCase		:       Dict								=      0
					while left <= right:
							_UpperCAmelCase		:       Tuple								=      self.get_prev(lowercase__ )
							if left <= current_left:
									_UpperCAmelCase		:       Union[str, Any]								=      max(lowercase__	,  self.tree[right] )
									_UpperCAmelCase		:       Optional[int]								=      current_left
							else:
									_UpperCAmelCase		:       str								=      max(lowercase__	,  self.arr[right] )
									right -= 1
					return result


if __name__ == "__main__":
						import doctest

						doctest.testmod()







'''simple docstring'''


# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCamelCase__    	=     {'configuration_mra': ['MRA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MraConfig']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__    	=     [
						    'MRA_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'MraForMaskedLM',
						    'MraForMultipleChoice',
						    'MraForQuestionAnswering',
						    'MraForSequenceClassification',
						    'MraForTokenClassification',
						    'MraLayer',
						    'MraModel',
						    'MraPreTrainedModel',
						]


if TYPE_CHECKING:
						from .configuration_mra import MRA_PRETRAINED_CONFIG_ARCHIVE_MAP, MraConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mra import (
												    MRA_PRETRAINED_MODEL_ARCHIVE_LIST,
												    MraForMaskedLM,
												    MraForMultipleChoice,
												    MraForQuestionAnswering,
												    MraForSequenceClassification,
												    MraForTokenClassification,
												    MraLayer,
												    MraModel,
												    MraPreTrainedModel,
												)
else:
						import sys

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



