

def 				__a							(       __A			,							__A						):
    if not root or root not in binary_tree_mirror_dictionary:
        return
    SCREAMING_SNAKE_CASE__         =    binary_tree_mirror_dictionary[root][:2]
    SCREAMING_SNAKE_CASE__         =    [right_child, left_child]
    binary_tree_mirror_dict(A__			,							A__						)
    binary_tree_mirror_dict(A__			,							A__						)





def 				__a							(       __A			,							__A = 1						):
    if not binary_tree:
        raise ValueError("binary tree cannot be empty"						)
    if root not in binary_tree:
        SCREAMING_SNAKE_CASE__         =    f"root {root} is not present in the binary_tree"
        raise ValueError(A__						)
    SCREAMING_SNAKE_CASE__         =    dict(A__						)
    binary_tree_mirror_dict(A__			,							A__						)
    return binary_tree_mirror_dictionary


if __name__ == "__main__":
  A__										=      {1: [2, 3], 2: [4, 5], 3: [6, 7], 7: [8, 9]}
  print(f'''Binary tree: {binary_tree}''')
  A__										=      binary_tree_mirror(binary_tree, 5)
  print(f'''Binary tree mirror: {binary_tree_mirror_dictionary}''')



from typing import TYPE_CHECKING

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


lowerCAmelCase__	:  int						=  {
    '''configuration_deta''': ['''DETA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DetaConfig'''],
}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__	:  Union[str, Any]						=  ['''DetaImageProcessor''']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__	:  Optional[int]						=  [
				    '''DETA_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''DetaForObjectDetection''',
				    '''DetaModel''',
				    '''DetaPreTrainedModel''',
				]


if TYPE_CHECKING:
				from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .image_processing_deta import DetaImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_deta import (
								    DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
								    DetaForObjectDetection,
								    DetaModel,
								    DetaPreTrainedModel,
								)

else:
				import sys

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


