




class 						__lowercase		:




      """simple docstring"""





      def __init__(				self     )		->    None:
         snake_case				:    dict[str, TrieNode]           =	{}  # Mapping from char to TrieNode
         snake_case				:    Optional[Any]           =	False

      def      UpperCAmelCase				(				self    ,				A     )		->    None:
         for word in words:
            self.insert(A     )

      def      UpperCAmelCase				(				self    ,				A     )		->    None:
         snake_case				:    List[str]           =	self
         for char in word:
            if char not in curr.nodes:
               snake_case				:    List[Any]           =	TrieNode()
            snake_case				:    List[Any]           =	curr.nodes[char]
         snake_case				:    List[str]           =	True

      def      UpperCAmelCase				(				self    ,				A     )		->    bool:
         snake_case				:    List[str]           =	self
         for char in word:
            if char not in curr.nodes:
               return False
            snake_case				:    List[Any]           =	curr.nodes[char]
         return curr.is_leaf

      def      UpperCAmelCase				(				self    ,				A     )		->    None:

         def _delete(A    ,				A    ,				A     ) -> bool:
            if index == len(A     ):
               # If word does not exist
               if not curr.is_leaf:
                  return False
               snake_case				:    List[str]           =	False
               return len(curr.nodes     ) == 0
            snake_case				:    Any           =	word[index]
            snake_case				:    List[Any]           =	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
            snake_case				:    int           =	_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 						SCREAMING_SNAKE_CASE__ (   lowercase						,lowercase					)  ->       None:
   if node.is_leaf:
      print(lowercase						,end=""" """					)

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




def 						SCREAMING_SNAKE_CASE__ (   )  ->       bool:
   snake_case				:    List[Any]           =	"""banana bananas bandana band apple all beast""".split()
   snake_case				:    Optional[Any]           =	TrieNode()
   root.insert_many(lowercase					)
   # print_words(root, "")
   assert all(root.find(lowercase					) 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 						SCREAMING_SNAKE_CASE__ (   lowercase						,lowercase					)  ->       None:
   print(str(lowercase					)						,"""works!""" if passes else """doesn't work :("""					)




def 						SCREAMING_SNAKE_CASE__ (   )  ->       None:
   assert test_trie()




def 						SCREAMING_SNAKE_CASE__ (   )  ->       None:
   print_results("""Testing trie functionality"""						,test_trie()					)


if __name__ == "__main__":
       main()











from typing import List

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


lowerCamelCase	:	Optional[int]				=   logging.get_logger(__name__)

lowerCamelCase	:	Tuple				=   {
    'snap-research/efficientformer-l1-300': (
        'https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json'
    ),
}




class 						__lowercase		(UpperCamelCase__							):




      """simple docstring"""





      _snake_case												=						"""efficientformer"""

      def __init__(				self    ,				A = [3, 2, 6, 4]    ,				A = [4_8, 9_6, 2_2_4, 4_4_8]    ,				A = [True, True, True, True]    ,				A = 4_4_8    ,				A = 3_2    ,				A = 4    ,				A = 7    ,				A = 5    ,				A = 8    ,				A = 4    ,				A = 0.0    ,				A = 1_6    ,				A = 3    ,				A = 3    ,				A = 3    ,				A = 2    ,				A = 1    ,				A = 0.0    ,				A = 1    ,				A = True    ,				A = True    ,				A = 1e-5    ,				A = "gelu"    ,				A = 0.02    ,				A = 1e-1_2    ,				A = 2_2_4    ,				A = 1e-0_5    ,				**A    ,				)		->    None:
         super().__init__(**A     )

         snake_case				:    Dict           =	hidden_act
         snake_case				:    int           =	hidden_dropout_prob
         snake_case				:    Any           =	hidden_sizes
         snake_case				:    Optional[Any]           =	num_hidden_layers
         snake_case				:    List[Any]           =	num_attention_heads
         snake_case				:    List[Any]           =	initializer_range
         snake_case				:    str           =	layer_norm_eps
         snake_case				:    Dict           =	patch_size
         snake_case				:    Optional[int]           =	num_channels
         snake_case				:    int           =	depths
         snake_case				:    Optional[int]           =	mlp_expansion_ratio
         snake_case				:    Any           =	downsamples
         snake_case				:    Dict           =	dim
         snake_case				:    Optional[int]           =	key_dim
         snake_case				:    Union[str, Any]           =	attention_ratio
         snake_case				:    Any           =	resolution
         snake_case				:    Dict           =	pool_size
         snake_case				:    Any           =	downsample_patch_size
         snake_case				:    Tuple           =	downsample_stride
         snake_case				:    Any           =	downsample_pad
         snake_case				:    Union[str, Any]           =	drop_path_rate
         snake_case				:    List[str]           =	num_metaad_blocks
         snake_case				:    Union[str, Any]           =	distillation
         snake_case				:    List[str]           =	use_layer_scale
         snake_case				:    int           =	layer_scale_init_value
         snake_case				:    Union[str, Any]           =	image_size
         snake_case				:    Dict           =	batch_norm_eps





