




from __future__ import annotations

from collections import defaultdict
from dataclasses import dataclass


@dataclass
class        UpperCAmelCase__				:



     '''simple docstring'''
     _SCREAMING_SNAKE_CASE      :					int
     _SCREAMING_SNAKE_CASE      :					TreeNode | None     					=    None
     _SCREAMING_SNAKE_CASE      :					TreeNode | None     					=    None





def 							lowerCamelCase    (							)->			TreeNode:

       """simple docstring"""




       return TreeNode(3   ,       TreeNode(9      )   ,       TreeNode(20   ,       TreeNode(15      )   ,       TreeNode(7      )      )      )





def 							lowerCamelCase    (							UpperCAmelCase_	:      TreeNode      )->			list[int]:

       """simple docstring"""




       def depth_first_search(
           UpperCAmelCase_	:      TreeNode | None   ,       UpperCAmelCase_	:      int   ,       UpperCAmelCase_	:      list[int]      ) -> None:
              if not root:
                     return

              if depth == len(UpperCAmelCase_      ):
                     right_view.append(root.val      )

              depth_first_search(root.right   ,       depth + 1   ,       UpperCAmelCase_      )
              depth_first_search(root.left   ,       depth + 1   ,       UpperCAmelCase_      )

       a			   =[]
       if not root:
              return right_view

       depth_first_search(UpperCAmelCase_   ,       0   ,       UpperCAmelCase_      )
       return right_view





def 							lowerCamelCase    (							UpperCAmelCase_	:      TreeNode      )->			list[int]:

       """simple docstring"""




       def depth_first_search(
           UpperCAmelCase_	:      TreeNode | None   ,       UpperCAmelCase_	:      int   ,       UpperCAmelCase_	:      list[int]      ) -> None:
              if not root:
                     return

              if depth == len(UpperCAmelCase_      ):
                     left_view.append(root.val      )

              depth_first_search(root.left   ,       depth + 1   ,       UpperCAmelCase_      )
              depth_first_search(root.right   ,       depth + 1   ,       UpperCAmelCase_      )

       a			   =[]
       if not root:
              return left_view

       depth_first_search(UpperCAmelCase_   ,       0   ,       UpperCAmelCase_      )
       return left_view





def 							lowerCamelCase    (							UpperCAmelCase_	:      TreeNode      )->			list[int]:

       """simple docstring"""




       def breadth_first_search(UpperCAmelCase_	:      TreeNode   ,       UpperCAmelCase_	:      list[int]      ) -> None:
              a			   =[(root, 0)]
              a			   =defaultdict(UpperCAmelCase_      )

              while queue:
                     a			   =queue.pop(0      )
                     a   ,      a			   =first

                     lookup[hd].append(node.val      )

                     if node.left:
                            queue.append((node.left, hd - 1)      )
                     if node.right:
                            queue.append((node.right, hd + 1)      )

              for pair in sorted(lookup.items()   ,       key=lambda UpperCAmelCase_      : each[0]      ):
                     top_view.append(pair[1][0]      )

       a			   =[]
       if not root:
              return top_view

       breadth_first_search(UpperCAmelCase_   ,       UpperCAmelCase_      )
       return top_view





def 							lowerCamelCase    (							UpperCAmelCase_	:      TreeNode      )->			list[int]:

       """simple docstring"""




       from collections import defaultdict

       def breadth_first_search(UpperCAmelCase_	:      TreeNode   ,       UpperCAmelCase_	:      list[int]      ) -> None:
              a			   =[(root, 0)]
              a			   =defaultdict(UpperCAmelCase_      )

              while queue:
                     a			   =queue.pop(0      )
                     a   ,      a			   =first
                     lookup[hd].append(node.val      )

                     if node.left:
                            queue.append((node.left, hd - 1)      )
                     if node.right:
                            queue.append((node.right, hd + 1)      )

              for pair in sorted(lookup.items()   ,       key=lambda UpperCAmelCase_      : each[0]      ):
                     bottom_view.append(pair[1][-1]      )

       a			   =[]
       if not root:
              return bottom_view

       breadth_first_search(UpperCAmelCase_   ,       UpperCAmelCase_      )
       return bottom_view


if __name__ == "__main__":
    import doctest

    doctest.testmod()






from typing import TYPE_CHECKING

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


_lowerCamelCase							=      {'''configuration_cvt''': ['''CVT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''CvtConfig''']}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _lowerCamelCase							=      [
        '''CVT_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''CvtForImageClassification''',
        '''CvtModel''',
        '''CvtPreTrainedModel''',
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _lowerCamelCase							=      [
        '''TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''TFCvtForImageClassification''',
        '''TFCvtModel''',
        '''TFCvtPreTrainedModel''',
    ]

if TYPE_CHECKING:
    from .configuration_cvt import CVT_PRETRAINED_CONFIG_ARCHIVE_MAP, CvtConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_cvt import (
            CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CvtForImageClassification,
            CvtModel,
            CvtPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_cvt import (
            TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCvtForImageClassification,
            TFCvtModel,
            TFCvtPreTrainedModel,
        )


else:
    import sys

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