


def 						_A						(						_lowercase			,       _lowercase				)			->				int:


     """simple docstring"""


     if not root or root not in binary_tree_mirror_dictionary:
          return
     __UpperCamelCase,  __UpperCamelCase				=	binary_tree_mirror_dictionary[root][:2]
     __UpperCamelCase				=	[right_child, left_child]
     binary_tree_mirror_dict(_lowercase			,       _lowercase				)
     binary_tree_mirror_dict(_lowercase			,       _lowercase				)






def 						_A						(						_lowercase			,       _lowercase = 1				)			->				dict:


     """simple docstring"""


     if not binary_tree:
          raise ValueError('binary tree cannot be empty'				)
     if root not in binary_tree:
          __UpperCamelCase				=	f'''root {root} is not present in the binary_tree'''
          raise ValueError(_lowercase				)
     __UpperCamelCase				=	dict(_lowercase				)
     binary_tree_mirror_dict(_lowercase			,       _lowercase				)
     return binary_tree_mirror_dictionary


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






# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__snake_case     =		{
    '''configuration_convnextv2''': [
        '''CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''ConvNextV2Config''',
    ]
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __snake_case     =		[
        '''CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''ConvNextV2ForImageClassification''',
        '''ConvNextV2Model''',
        '''ConvNextV2PreTrainedModel''',
        '''ConvNextV2Backbone''',
    ]


if TYPE_CHECKING:
    from .configuration_convnextva import (
        CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ConvNextVaConfig,
    )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_convnextva import (
            CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConvNextVaBackbone,
            ConvNextVaForImageClassification,
            ConvNextVaModel,
            ConvNextVaPreTrainedModel,
        )

else:
    import sys

    __snake_case     =		_LazyModule(__name__, globals()['''__file__'''], _import_structure)


