



class 		UpperCAmelCase						:





   def __init__(	self			):
         _lowerCAmelCase 			=  {}  # Mapping from char to TrieNode
         _lowerCAmelCase 			=  False





   def 	__lowerCAmelCase							(	self       ,     _lowerCAmelCase			):
         for word in words:
               self.insert(_lowerCAmelCase			)





   def 	__lowerCAmelCase							(	self       ,     _lowerCAmelCase			):
         _lowerCAmelCase 			=  self
         for char in word:
               if char not in curr.nodes:
                     _lowerCAmelCase 			=  TrieNode()
               _lowerCAmelCase 			=  curr.nodes[char]
         _lowerCAmelCase 			=  True





   def 	__lowerCAmelCase							(	self       ,     _lowerCAmelCase			):
         _lowerCAmelCase 			=  self
         for char in word:
               if char not in curr.nodes:
                     return False
               _lowerCAmelCase 			=  curr.nodes[char]
         return curr.is_leaf





   def 	__lowerCAmelCase							(	self       ,     _lowerCAmelCase			):

         def _delete(_lowerCAmelCase       ,     _lowerCAmelCase       ,     _lowerCAmelCase			) -> bool:
               if index == len(_lowerCAmelCase			):
                     # If word does not exist
                     if not curr.is_leaf:
                           return False
                     _lowerCAmelCase 			=  False
                     return len(curr.nodes			) == 0
               _lowerCAmelCase 			=  word[index]
               _lowerCAmelCase 			=  curr.nodes.get(_lowerCAmelCase			)
               # If char not in current trie node
               if not char_node:
                     return False
               # Flag to check if node can be deleted
               _lowerCAmelCase 			=  _delete(_lowerCAmelCase       ,     _lowerCAmelCase       ,     index + 1			)
               if delete_curr:
                     del curr.nodes[char]
                     return len(curr.nodes			) == 0
               return delete_curr

         _delete(self       ,     _lowerCAmelCase       ,     0			)






def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	TrieNode     ,				_SCREAMING_SNAKE_CASE   :	str				)->None:
      if node.is_leaf:
            print(_SCREAMING_SNAKE_CASE     ,				end=''' '''				)

      for key, value in node.nodes.items():
            print_words(_SCREAMING_SNAKE_CASE     ,				word + key				)
def 							UpperCAmelCase__		(				)->bool:
      _lowerCAmelCase 			=  '''banana bananas bandana band apple all beast'''.split()
      _lowerCAmelCase 			=  TrieNode()
      root.insert_many(_SCREAMING_SNAKE_CASE				)
      # print_words(root, "")
      assert all(root.find(_SCREAMING_SNAKE_CASE				) for word in words				)
      assert root.find('''banana'''				)
      assert not root.find('''bandanas'''				)
      assert not root.find('''apps'''				)
      assert root.find('''apple'''				)
      assert root.find('''all'''				)
      root.delete('''all'''				)
      assert not root.find('''all'''				)
      root.delete('''banana'''				)
      assert not root.find('''banana'''				)
      assert root.find('''bananas'''				)
      return True
def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	str     ,				_SCREAMING_SNAKE_CASE   :	bool				)->None:
      print(str(_SCREAMING_SNAKE_CASE				)     ,				'''works!''' if passes else '''doesn\'t work :('''				)
def 							UpperCAmelCase__		(				)->None:
      assert test_trie()
def 							UpperCAmelCase__		(				)->None:
      print_results('''Testing trie functionality'''     ,				test_trie()				)


if __name__ == "__main__":
    main()




from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
    if not (is_transformers_available() and is_torch_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ...utils.dummy_torch_and_transformers_objects import ShapEPipeline
else:
    from .camera import create_pan_cameras
    from .pipeline_shap_e import ShapEPipeline
    from .pipeline_shap_e_img2img import ShapEImgaImgPipeline
    from .renderer import (
        BoundingBoxVolume,
        ImportanceRaySampler,
        MLPNeRFModelOutput,
        MLPNeRSTFModel,
        ShapEParamsProjModel,
        ShapERenderer,
        StratifiedRaySampler,
        VoidNeRFModel,
    )