






'''simple docstring'''





class 				lowercase       :


    '''simple docstring'''

    def __init__(					self     :     Optional[Any]				,     __lowerCamelCase     :     List[str]     )							->							str:

     '''simple docstring'''




     lowerCamelCase__  =     val
     lowerCamelCase__  =     None
     lowerCamelCase__  =     None




    def    a__				(					self     :     str				,     __lowerCamelCase     :     Any     )							->							Any:

     '''simple docstring'''




     if self.val:
      if val < self.val:
       if self.left is None:
        lowerCamelCase__  =     Node(__lowerCamelCase     )
       else:
        self.left.insert(__lowerCamelCase     )
      elif val > self.val:
       if self.right is None:
        lowerCamelCase__  =     Node(__lowerCamelCase     )
       else:
        self.right.insert(__lowerCamelCase     )
     else:
      lowerCamelCase__  =     val






def    lowerCamelCase_     (    lowercase__				,     lowercase__):
 # Recursive traversal
 if root:
  inorder(root.left				,     lowercase__)
  res.append(root.val)
  inorder(root.right				,     lowercase__)






def    lowerCamelCase_     (    lowercase__):
 # Build BST
 if len(lowercase__) == 0:
  return arr
 lowerCamelCase__  =     Node(arr[0])
 for i in range(1				,     len(lowercase__)):
  root.insert(arr[i])
 # Traverse BST in order.
 lowerCamelCase__  =     []
 inorder(lowercase__				,     lowercase__)
 return res


if __name__ == "__main__":
 print(tree_sort([10, 1, 3, 2, 9, 14, 13]))









'''simple docstring'''





from typing import TYPE_CHECKING

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


__A							:							Union[str, Any]  							=		{
    """configuration_layoutlmv2""": ["""LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LayoutLMv2Config"""],
    """processing_layoutlmv2""": ["""LayoutLMv2Processor"""],
    """tokenization_layoutlmv2""": ["""LayoutLMv2Tokenizer"""],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A							:							Optional[Any]  							=		["""LayoutLMv2TokenizerFast"""]

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A							:							List[Any]  							=		["""LayoutLMv2FeatureExtractor"""]
 __A							:							List[Any]  							=		["""LayoutLMv2ImageProcessor"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A							:							Any  							=		[
     """LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """LayoutLMv2ForQuestionAnswering""",
     """LayoutLMv2ForSequenceClassification""",
     """LayoutLMv2ForTokenClassification""",
     """LayoutLMv2Layer""",
     """LayoutLMv2Model""",
     """LayoutLMv2PreTrainedModel""",
 ]

if TYPE_CHECKING:
 from .configuration_layoutlmva import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMvaConfig
 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_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor, LayoutLMvaImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_layoutlmva import (
      LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
      LayoutLMvaForQuestionAnswering,
      LayoutLMvaForSequenceClassification,
      LayoutLMvaForTokenClassification,
      LayoutLMvaLayer,
      LayoutLMvaModel,
      LayoutLMvaPreTrainedModel,
  )
else:
 import sys

 __A							:							Tuple  							=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

