


class 			_lowercase :


       """simple docstring"""




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


             '''simple docstring'''



             lowerCamelCase__		:				List[str]    =  val
             lowerCamelCase__		:				Optional[Any]    =  None
             lowerCamelCase__		:				List[Any]    =  None





       def 						lowerCAmelCase     (   self							:			str					,      __lowerCamelCase							:			str       ):


             '''simple docstring'''



             if self.val:
                   if val < self.val:
                         if self.left is None:
                               lowerCamelCase__		:				Dict    =  Node(SCREAMING_SNAKE_CASE__       )
                         else:
                               self.left.insert(SCREAMING_SNAKE_CASE__       )
                   elif val > self.val:
                         if self.right is None:
                               lowerCamelCase__		:				Optional[Any]    =  Node(SCREAMING_SNAKE_CASE__       )
                         else:
                               self.right.insert(SCREAMING_SNAKE_CASE__       )
             else:
                   lowerCamelCase__		:				Tuple    =  val



def       lowercase_		(		_A			:    Dict    ,					_A			:    int						):

      """simple docstring"""




      if root:
            inorder(root.left    ,					__lowerCAmelCase						)
            res.append(root.val						)
            inorder(root.right    ,					__lowerCAmelCase						)

def       lowercase_		(		_A			:    List[Any]						):

      """simple docstring"""




      if len(__lowerCAmelCase						) == 0:
            return arr
      lowerCamelCase__		:				str    =  Node(arr[0]						)
      for i in range(1    ,					len(__lowerCAmelCase						)						):
            root.insert(arr[i]						)
      # Traverse BST in order.
      lowerCamelCase__		:				Optional[int]    =  []
      inorder(__lowerCAmelCase    ,					__lowerCAmelCase						)
      return res


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




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


SCREAMING_SNAKE_CASE__   :			List[Any]												=    {
    "configuration_resnet": ["RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "ResNetConfig", "ResNetOnnxConfig"]
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__   :			int												=    [
					    "RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "ResNetForImageClassification",
					    "ResNetModel",
					    "ResNetPreTrainedModel",
					    "ResNetBackbone",
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__   :			List[Any]												=    [
					    "TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "TFResNetForImageClassification",
					    "TFResNetModel",
					    "TFResNetPreTrainedModel",
					]

try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__   :			Union[str, Any]												=    [
					    "FlaxResNetForImageClassification",
					    "FlaxResNetModel",
					    "FlaxResNetPreTrainedModel",
					]

if TYPE_CHECKING:
					from .configuration_resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig, ResNetOnnxConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_resnet import (
										    RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
										    ResNetBackbone,
										    ResNetForImageClassification,
										    ResNetModel,
										    ResNetPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_resnet import (
										    TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFResNetForImageClassification,
										    TFResNetModel,
										    TFResNetPreTrainedModel,
										)

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_resnet import FlaxResNetForImageClassification, FlaxResNetModel, FlaxResNetPreTrainedModel


else:
					import sys

					SCREAMING_SNAKE_CASE__   :			Any												=    _LazyModule(__name__, globals()["__file__"], _import_structure)



