
class     __UpperCamelCase :






     """simple docstring"""







     def __init__(				self							:							str ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	dict[str, TrieNode]					=		{}  # Mapping from char to TrieNode
       __SCREAMING_SNAKE_CASE      :	List[str]					=		False



     def  UpperCAmelCase__							(				self							:							Dict     ,						_A							:							list[str] ):







       """simple docstring"""




       for word in words:
         self.insert(_A )



     def  UpperCAmelCase__							(				self							:							Optional[Any]     ,						_A							:							str ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	Union[str, Any]					=		self
       for char in word:
         if char not in curr.nodes:
           __SCREAMING_SNAKE_CASE      :	str					=		TrieNode()
         __SCREAMING_SNAKE_CASE      :	Optional[int]					=		curr.nodes[char]
       __SCREAMING_SNAKE_CASE      :	Optional[int]					=		True



     def  UpperCAmelCase__							(				self							:							int     ,						_A							:							str ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	Dict					=		self
       for char in word:
         if char not in curr.nodes:
           return False
         __SCREAMING_SNAKE_CASE      :	int					=		curr.nodes[char]
       return curr.is_leaf




     def  UpperCAmelCase__							(				self							:							List[str]     ,						_A							:							str ):







       """simple docstring"""




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

       _delete(self     ,						_A     ,						0 )






def 							a__					(							snake_case       ,			snake_case							):





  """simple docstring"""
  if node.is_leaf:
    print(snake_case       ,			end=''' '''							)

  for key, value in node.nodes.items():
    print_words(snake_case       ,			word + key							)


def 							a__					(							):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE      :	str					=		'''banana bananas bandana band apple all beast'''.split()
  __SCREAMING_SNAKE_CASE      :	Any					=		TrieNode()
  root.insert_many(snake_case							)
  # print_words(root, "")
  assert all(root.find(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 							a__					(							snake_case       ,			snake_case							):





  """simple docstring"""
  print(str(snake_case							)       ,			'''works!''' if passes else '''doesn\'t work :('''							)


def 							a__					(							):





  """simple docstring"""
  assert test_trie()


def 							a__					(							):





  """simple docstring"""
  print_results('''Testing trie functionality'''       ,			test_trie()							)


if __name__ == "__main__":
   main()






from ...configuration_utils import PretrainedConfig
from ...utils import logging


__A								=       logging.get_logger(__name__)

__A								=       {
    "unc-nlp/lxmert-base-uncased": "https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json",
}







class        __lowerCAmelCase					(			__magic_name__					):

			"""simple docstring"""







			snake_case_  						=			'''lxmert'''
			snake_case_  						=			{}


			def __init__( self     ,		lowerCamelCase__=30_522     ,		lowerCamelCase__=768     ,		lowerCamelCase__=12     ,		lowerCamelCase__=9_500     ,		lowerCamelCase__=1_600     ,		lowerCamelCase__=400     ,		lowerCamelCase__=3_072     ,		lowerCamelCase__="gelu"     ,		lowerCamelCase__=0.1     ,		lowerCamelCase__=0.1     ,		lowerCamelCase__=512     ,		lowerCamelCase__=2     ,		lowerCamelCase__=0.02     ,		lowerCamelCase__=1e-12     ,		lowerCamelCase__=9     ,		lowerCamelCase__=5     ,		lowerCamelCase__=5     ,		lowerCamelCase__=2_048     ,		lowerCamelCase__=4     ,		lowerCamelCase__=6.67     ,		lowerCamelCase__=True     ,		lowerCamelCase__=True     ,		lowerCamelCase__=True     ,		lowerCamelCase__=True     ,		lowerCamelCase__=True     ,		lowerCamelCase__=True     ,		lowerCamelCase__=True     ,		**lowerCamelCase__     ,		)       -> Optional[int]:



							'''simple docstring'''
							__lowerCamelCase									=       vocab_size
							__lowerCamelCase									=       hidden_size
							__lowerCamelCase									=       num_attention_heads
							__lowerCamelCase									=       hidden_act
							__lowerCamelCase									=       intermediate_size
							__lowerCamelCase									=       hidden_dropout_prob
							__lowerCamelCase									=       attention_probs_dropout_prob
							__lowerCamelCase									=       max_position_embeddings
							__lowerCamelCase									=       type_vocab_size
							__lowerCamelCase									=       initializer_range
							__lowerCamelCase									=       layer_norm_eps
							__lowerCamelCase									=       num_qa_labels
							__lowerCamelCase									=       num_object_labels
							__lowerCamelCase									=       num_attr_labels
							__lowerCamelCase									=       l_layers
							__lowerCamelCase									=       x_layers
							__lowerCamelCase									=       r_layers
							__lowerCamelCase									=       visual_feat_dim
							__lowerCamelCase									=       visual_pos_dim
							__lowerCamelCase									=       visual_loss_normalizer
							__lowerCamelCase									=       task_matched
							__lowerCamelCase									=       task_mask_lm
							__lowerCamelCase									=       task_obj_predict
							__lowerCamelCase									=       task_qa
							__lowerCamelCase									=       visual_obj_loss
							__lowerCamelCase									=       visual_attr_loss
							__lowerCamelCase									=       visual_feat_loss
							__lowerCamelCase									=       {'vision': r_layers, 'cross_encoder': x_layers, 'language': l_layers}
							super().__init__(**lowerCamelCase__				)


