






'''simple docstring'''
from __future__ import annotations

import math


class 							_UpperCAmelCase    :




    def __init__(      self	:							List[str]	,  a	:							int      ):






       '''simple docstring'''






       lowercase_						:     Any							     =  size
       # approximate the overall size of segment tree with given value
       lowercase_						:     Tuple							     =  [0 for i in range(0	,  4 * size      )]
       # create array to store lazy update
       lowercase_						:     List[Any]							     =  [0 for i in range(0	,  4 * size      )]
       lowercase_						:     int							     =  [0 for i in range(0	,  4 * size      )]  # flag for lazy update




    def 					lowerCAmelCase__					(      self	:							List[str]	,  a	:							int      ):






       '''simple docstring'''






       return idx * 2




    def 					lowerCAmelCase__					(      self	:							List[str]	,  a	:							int      ):






       '''simple docstring'''






       return idx * 2 + 1




    def 					lowerCAmelCase__					(      self	:							Optional[int]	,  a	:							int	,  a	:							int	,  a	:							int	,  a	:							list[int]      ):






       '''simple docstring'''






       if left_element == right_element:
          lowercase_						:     Optional[int]							     =  a[left_element - 1]
       else:
          lowercase_						:     Optional[Any]							     =  (left_element + right_element) // 2
          self.build(self.left(a      )	,  a	,  a	,  a      )
          self.build(self.right(a      )	,  mid + 1	,  a	,  a      )
          lowercase_						:     List[str]							     =  max(
              self.segment_tree[self.left(a      )]	,  self.segment_tree[self.right(a      )]      )




    def 					lowerCAmelCase__					(      self	:							Dict	,  a	:							int	,  a	:							int	,  a	:							int	,  a	:							int	,  a	:							int	,  a	:							int      ):






       '''simple docstring'''






       if self.flag[idx] is True:
          lowercase_						:     Optional[Any]							     =  self.lazy[idx]
          lowercase_						:     str							     =  False
          if left_element != right_element:
             lowercase_						:     List[str]							     =  self.lazy[idx]
             lowercase_						:     List[Any]							     =  self.lazy[idx]
             lowercase_						:     Any							     =  True
             lowercase_						:     str							     =  True

       if right_element < a or left_element > b:
          return True
       if left_element >= a and right_element <= b:
          lowercase_						:     Dict							     =  val
          if left_element != right_element:
             lowercase_						:     Optional[Any]							     =  val
             lowercase_						:     Any							     =  val
             lowercase_						:     int							     =  True
             lowercase_						:     Union[str, Any]							     =  True
          return True
       lowercase_						:     Tuple							     =  (left_element + right_element) // 2
       self.update(self.left(a      )	,  a	,  a	,  a	,  a	,  a      )
       self.update(self.right(a      )	,  mid + 1	,  a	,  a	,  a	,  a      )
       lowercase_						:     Any							     =  max(
           self.segment_tree[self.left(a      )]	,  self.segment_tree[self.right(a      )]      )
       return True




    def 					lowerCAmelCase__					(      self	:							int	,  a	:							int	,  a	:							int	,  a	:							int	,  a	:							int	,  a	:							int      ):






       '''simple docstring'''






       if self.flag[idx] is True:
          lowercase_						:     Tuple							     =  self.lazy[idx]
          lowercase_						:     List[str]							     =  False
          if left_element != right_element:
             lowercase_						:     Dict							     =  self.lazy[idx]
             lowercase_						:     Optional[Any]							     =  self.lazy[idx]
             lowercase_						:     Optional[int]							     =  True
             lowercase_						:     int							     =  True
       if right_element < a or left_element > b:
          return -math.inf
       if left_element >= a and right_element <= b:
          return self.segment_tree[idx]
       lowercase_						:     Tuple							     =  (left_element + right_element) // 2
       lowercase_						:     str							     =  self.query(self.left(a      )	,  a	,  a	,  a	,  a      )
       lowercase_						:     Any							     =  self.query(self.right(a      )	,  mid + 1	,  a	,  a	,  a      )
       return max(a	,  a      )





    def __str__(      self	:							Optional[int]      ):






       '''simple docstring'''






       return str([self.query(1	,  1	,  self.size	,  a	,  a      ) for i in range(1	,  self.size + 1      )]      )


if __name__ == "__main__":
 UpperCamelCase__			=      [1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
 UpperCamelCase__			=      15
 UpperCamelCase__			=      SegmentTree(size)
 segt.build(1, 1, size, A)
 print(segt.query(1, 1, size, 4, 6))
 print(segt.query(1, 1, size, 7, 11))
 print(segt.query(1, 1, size, 7, 12))
 segt.update(1, 1, size, 1, 3, 111)
 print(segt.query(1, 1, size, 1, 15))
 segt.update(1, 1, size, 7, 8, 235)
 print(segt)












'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


UpperCamelCase__			=      {
    'configuration_layoutlmv3': [
        'LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'LayoutLMv3Config',
        'LayoutLMv3OnnxConfig',
    ],
    'processing_layoutlmv3': ['LayoutLMv3Processor'],
    'tokenization_layoutlmv3': ['LayoutLMv3Tokenizer'],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCamelCase__			=      ['LayoutLMv3TokenizerFast']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCamelCase__			=      [
     'LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST',
     'LayoutLMv3ForQuestionAnswering',
     'LayoutLMv3ForSequenceClassification',
     'LayoutLMv3ForTokenClassification',
     'LayoutLMv3Model',
     'LayoutLMv3PreTrainedModel',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCamelCase__			=      [
     'TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST',
     'TFLayoutLMv3ForQuestionAnswering',
     'TFLayoutLMv3ForSequenceClassification',
     'TFLayoutLMv3ForTokenClassification',
     'TFLayoutLMv3Model',
     'TFLayoutLMv3PreTrainedModel',
 ]

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCamelCase__			=      ['LayoutLMv3FeatureExtractor']
 UpperCamelCase__			=      ['LayoutLMv3ImageProcessor']


if TYPE_CHECKING:
 from .configuration_layoutlmva import (
     LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP,
     LayoutLMvaConfig,
     LayoutLMvaOnnxConfig,
 )
 from .processing_layoutlmva import LayoutLMvaProcessor
 from .tokenization_layoutlmva import LayoutLMvaTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_layoutlmva import (
      LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
      LayoutLMvaForQuestionAnswering,
      LayoutLMvaForSequenceClassification,
      LayoutLMvaForTokenClassification,
      LayoutLMvaModel,
      LayoutLMvaPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_layoutlmva import (
      TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFLayoutLMvaForQuestionAnswering,
      TFLayoutLMvaForSequenceClassification,
      TFLayoutLMvaForTokenClassification,
      TFLayoutLMvaModel,
      TFLayoutLMvaPreTrainedModel,
  )

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor
  from .image_processing_layoutlmva import LayoutLMvaImageProcessor

else:
 import sys

 UpperCamelCase__			=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




