





'''simple docstring'''



class       __SCREAMING_SNAKE_CASE	:



     '''simple docstring'''






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

     def 	UpperCamelCase(					self						,   lowerCamelCase	):

       for word in words:
         self.insert(_lowercase	)

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

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






     def 	UpperCamelCase(					self						,   lowerCamelCase	):

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

       _delete(self						,   _lowercase						,   0	)







def 				snake_case_      (		SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       ):







  '''simple docstring'''



  if node.is_leaf:
    print(_lowerCamelCase					,	end=" "       )

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




def 				snake_case_      (		):







  '''simple docstring'''



  _snake_case     		=				"""banana bananas bandana band apple all beast""".split()
  _snake_case     		=				TrieNode()
  root.insert_many(_lowerCamelCase       )
  # print_words(root, "")
  assert all(root.find(_lowerCamelCase       ) 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 				snake_case_      (		SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       ):







  '''simple docstring'''



  print(str(_lowerCamelCase       )					,	"works!" if passes else "doesn't work :("       )




def 				snake_case_      (		):







  '''simple docstring'''



  assert test_trie()




def 				snake_case_      (		):







  '''simple docstring'''



  print_results("Testing trie functionality"					,	test_trie()       )


if __name__ == "__main__":
 main()









'''simple docstring'''



from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__magic_name__   :						Dict    =			logging.get_logger(__name__)

__magic_name__   :						Dict    =			{
    """google/mobilenet_v1_1.0_224""": """https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json""",
    """google/mobilenet_v1_0.75_192""": """https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json""",
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}


class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						List[Any]      =   '''mobilenet_v1'''

     def __init__(					self						,   lowerCamelCase=3						,   lowerCamelCase=224						,   lowerCamelCase=1.0						,   lowerCamelCase=8						,   lowerCamelCase="relu6"						,   lowerCamelCase=True						,   lowerCamelCase=0.999						,   lowerCamelCase=0.02						,   lowerCamelCase=0.001						,   **lowerCamelCase						,   ):
       super().__init__(**lowerCamelCase	)

       if depth_multiplier <= 0:
         raise ValueError("depth_multiplier must be greater than zero."	)

       _snake_case     		=				num_channels
       _snake_case     		=				image_size
       _snake_case     		=				depth_multiplier
       _snake_case     		=				min_depth
       _snake_case     		=				hidden_act
       _snake_case     		=				tf_padding
       _snake_case     		=				classifier_dropout_prob
       _snake_case     		=				initializer_range
       _snake_case     		=				layer_norm_eps







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						int      =   version.parse('''1.11'''			)

     @property
     def 	UpperCamelCase(					self	):
       return OrderedDict([("pixel_values", {0: "batch"})]	)

     @property
     def 	UpperCamelCase(					self	):
       if self.task == "image-classification":
         return OrderedDict([("logits", {0: "batch"})]	)
       else:
         return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]	)






     @property
     def 	UpperCamelCase(					self	):
       return 1e-4


