


from __future__ import annotations

from dataclasses import dataclass


@dataclass
class        _a							:
							_lowercase	:			float
							_lowercase	:			TreeNode | None        = None
							_lowercase	:			TreeNode | None        = None
def 			_a (      SCREAMING_SNAKE_CASE     ):


		"""simple docstring"""




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

				if not isinstance(__lowerCAmelCase						,				__lowerCAmelCase     ):
						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(__lowerCAmelCase     ):
				raise ValueError(
				    '''Each node should be type of TreeNode and data should be float.'''     )

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

				if node is None:
						return True

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

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


if __name__ == "__main__":
			import doctest

			doctest.testmod()










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_speech_available, is_torch_available


lowerCamelCase	:							int				={
    '''configuration_audio_spectrogram_transformer''': [
        '''AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''ASTConfig''',
    ]
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase	:							Union[str, Any]				=[
     '''AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''ASTForAudioClassification''',
     '''ASTModel''',
     '''ASTPreTrainedModel''',
 ]

try:
 if not is_speech_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase	:							Optional[int]				=['''ASTFeatureExtractor''']

if TYPE_CHECKING:
 from .configuration_audio_spectrogram_transformer import (
     AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
     ASTConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_audio_spectrogram_transformer import (
      AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
      ASTForAudioClassification,
      ASTModel,
      ASTPreTrainedModel,
  )

 try:
  if not is_speech_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_audio_spectrogram_transformer import ASTFeatureExtractor


else:
 import sys

 lowerCamelCase	:							Optional[int]				=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)