'''simple docstring'''

from __future__ import annotations

from dataclasses import dataclass
@dataclass
class   SCREAMING_SNAKE_CASE			:







		"""simple docstring"""
		lowercase   :      float
		lowercase   :      TreeNode | None       =							None
		lowercase   :      TreeNode | None       =							None



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






						def is_valid_tree(a__      ) -> bool:
												if node is None:
																		return True

												if not isinstance(a__			,      a__      ):
																		return False

												try:
																		float(node.data      )
												except (TypeError, ValueError):
																		return False

												return is_valid_tree(node.left      ) and is_valid_tree(node.right      )

						if not is_valid_tree(a__      ):
												raise ValueError(
												    'Each node should be type of TreeNode and data should be float.'      )

						def is_binary_search_tree_recursive_check(
						    a__			,      a__			,      a__      ) -> bool:

												if node is None:
																		return True

												return (
												    left_bound < node.data < right_bound
												    and is_binary_search_tree_recursive_check(node.left			,      a__			,      node.data      )
												    and is_binary_search_tree_recursive_check(
												        node.right			,      node.data			,      a__      )
												)

						return is_binary_search_tree_recursive_check(a__			,      -float('inf'      )			,      float('inf'      )      )


if __name__ == "__main__":
							import doctest

							doctest.testmod()






'''simple docstring'''

from typing import TYPE_CHECKING

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


lowercase_     		= {'''configuration_vit_mae''': ['''VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViTMAEConfig''']}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase_     		= [
							    '''VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''ViTMAEForPreTraining''',
							    '''ViTMAELayer''',
							    '''ViTMAEModel''',
							    '''ViTMAEPreTrainedModel''',
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase_     		= [
							    '''TFViTMAEForPreTraining''',
							    '''TFViTMAEModel''',
							    '''TFViTMAEPreTrainedModel''',
							]

if TYPE_CHECKING:
							from .configuration_vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_vit_mae import (
														    VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ViTMAEForPreTraining,
														    ViTMAELayer,
														    ViTMAEModel,
														    ViTMAEPreTrainedModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel


else:
							import sys

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





