code: 
  
  from __future__ import annotations
  
  from collections import defaultdict
  from dataclasses import dataclass
  
  
  
  
  
  
  @dataclass
  class     lowerCamelCase_			:
  	_lowercase		:      int
  	_lowercase		:      TreeNode | None    				=							None
  	_lowercase		:      TreeNode | None    				=							None
  
  
  
  
  
  
  def        __SCREAMING_SNAKE_CASE    (      )				->							TreeNode:
  	return TreeNode(3 ,TreeNode(9					) ,TreeNode(20 ,TreeNode(15					) ,TreeNode(7					)					)					)
  def        __SCREAMING_SNAKE_CASE    (      a__						:      TreeNode					)				->							list[int]:
  
  	def depth_first_search(
  	    a__						:      TreeNode | None ,a__						:      int ,a__						:      list[int]					) -> None:
  		if not root:
  			return
  
  		if depth == len(a__					):
  			right_view.append(root.val					)
  
  		depth_first_search(root.right ,depth + 1 ,a__					)
  		depth_first_search(root.left ,depth + 1 ,a__					)
  
  	__A   : list								= []
  	if not root:
  		return right_view
  
  	depth_first_search(a__ ,0 ,a__					)
  	return right_view
  def        __SCREAMING_SNAKE_CASE    (      a__						:      TreeNode					)				->							list[int]:
  
  	def depth_first_search(
  	    a__						:      TreeNode | None ,a__						:      int ,a__						:      list[int]					) -> None:
  		if not root:
  			return
  
  		if depth == len(a__					):
  			left_view.append(root.val					)
  
  		depth_first_search(root.left ,depth + 1 ,a__					)
  		depth_first_search(root.right ,depth + 1 ,a__					)
  
  	__A   : list								= []
  	if not root:
  		return left_view
  
  	depth_first_search(a__ ,0 ,a__					)
  	return left_view
  def        __SCREAMING_SNAKE_CASE    (      a__						:      TreeNode					)				->							list[int]:
  
  	def breadth_first_search(a__						:      TreeNode ,a__						:      list[int]					) -> None:
  		__A   : Tuple								= [(root, 0)]
  		__A   : List[Any]								= defaultdict(a__					)
  
  		while queue:
  			__A   : Dict								= queue.pop(0					)
  			__A						,							__A   : Optional[int]								= 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 a__					: each[0]					):
  			top_view.append(pair[1][0]					)
  
  	__A   : list								= []
  	if not root:
  		return top_view
  
  	breadth_first_search(a__ ,a__					)
  	return top_view
  def        __SCREAMING_SNAKE_CASE    (      a__						:      TreeNode					)				->							list[int]:
  	from collections import defaultdict
  
  	def breadth_first_search(a__						:      TreeNode ,a__						:      list[int]					) -> None:
  		__A   : Optional[Any]								= [(root, 0)]
  		__A   : Union[str, Any]								= defaultdict(a__					)
  
  		while queue:
  			__A   : List[str]								= queue.pop(0					)
  			__A						,							__A   : Any								= 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 a__					: each[0]					):
  			bottom_view.append(pair[1][-1]					)
  
  	__A   : list								= []
  	if not root:
  		return bottom_view
  
  	breadth_first_search(a__ ,a__					)
  	return bottom_view
  
  
  if __name__ == "__main__":
  			import doctest
  
  			doctest.testmod()
  
  
  
  
  
  
style_context: 
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  UpperCAmelCase_       :				Optional[Any]		   =      {
      '''configuration_prophetnet''': ['''PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ProphetNetConfig'''],
      '''tokenization_prophetnet''': ['''ProphetNetTokenizer'''],
  }
  
  try:
  			if not is_torch_available():
  						raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  			pass
  else:
  			UpperCAmelCase_       :				List[str]		   =      [
  			    '''PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
  			    '''ProphetNetDecoder''',
  			    '''ProphetNetEncoder''',
  			    '''ProphetNetForCausalLM''',
  			    '''ProphetNetForConditionalGeneration''',
  			    '''ProphetNetModel''',
  			    '''ProphetNetPreTrainedModel''',
  			]
  
  
  if TYPE_CHECKING:
  			from .configuration_prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig
  			from .tokenization_prophetnet import ProphetNetTokenizer
  
  			try:
  						if not is_torch_available():
  									raise OptionalDependencyNotAvailable()
  			except OptionalDependencyNotAvailable:
  						pass
  			else:
  						from .modeling_prophetnet import (
  						    PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
  						    ProphetNetDecoder,
  						    ProphetNetEncoder,
  						    ProphetNetForCausalLM,
  						    ProphetNetForConditionalGeneration,
  						    ProphetNetModel,
  						    ProphetNetPreTrainedModel,
  						)
  
  else:
  			import sys
  
  			UpperCAmelCase_       :				Any		   =      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
  
  
  
  