

class     a__  :
			"""simple docstring"""







			def __init__(			self				)     ->  None:
							'''simple docstring'''






							A__						=	{}  # Mapping from char to TrieNode
							A__						=	False


			def    UpperCamelCase						(			self					,					lowercase				)     ->  None:
							'''simple docstring'''






							for word in words:
											self.insert(lowercase				)


			def    UpperCamelCase						(			self					,					lowercase				)     ->  None:
							'''simple docstring'''






							A__						=	self
							for char in word:
											if char not in curr.nodes:
															A__						=	TrieNode()
											A__						=	curr.nodes[char]
							A__						=	True


			def    UpperCamelCase						(			self					,					lowercase				)     ->  bool:
							'''simple docstring'''






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


			def    UpperCamelCase						(			self					,					lowercase				)     ->  None:
							'''simple docstring'''






							def _delete(lowercase					,					lowercase					,					lowercase				) -> bool:
											if index == len(lowercase				):
															# If word does not exist
															if not curr.is_leaf:
																			return False
															A__						=	False
															return len(curr.nodes				) == 0
											A__						=	word[index]
											A__						=	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
											A__						=	_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     lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							TrieNode		,				SCREAMING_SNAKE_CASE_:							str					)	->					None:




				'''simple docstring'''





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

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



def     lowerCAmelCase__							(		)	->					bool:




				'''simple docstring'''





				A__						=	"banana bananas bandana band apple all beast".split()
				A__						=	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     lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							str		,				SCREAMING_SNAKE_CASE_:							bool					)	->					None:




				'''simple docstring'''





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



def     lowerCAmelCase__							(		)	->					None:




				'''simple docstring'''





				assert test_trie()



def     lowerCAmelCase__							(		)	->					None:




				'''simple docstring'''





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


if __name__ == "__main__":
	main()





from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase_      : str  					=       logging.get_logger(__name__)

UpperCAmelCase_      : List[str]  					=       {
    'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json',
    'YituTech/conv-bert-medium-small': (
        'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json'
    ),
    'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json',
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     Optional[int]        =						'''convbert'''
      def __init__(       self				:       List[Any]     ,							SCREAMING_SNAKE_CASE__				:       Optional[int]=3_0_5_2_2     ,							SCREAMING_SNAKE_CASE__				:       Dict=7_6_8     ,							SCREAMING_SNAKE_CASE__				:       Optional[int]=1_2     ,							SCREAMING_SNAKE_CASE__				:       Union[str, Any]=1_2     ,							SCREAMING_SNAKE_CASE__				:       str=3_0_7_2     ,							SCREAMING_SNAKE_CASE__				:       Dict="gelu"     ,							SCREAMING_SNAKE_CASE__				:       Dict=0.1     ,							SCREAMING_SNAKE_CASE__				:       Tuple=0.1     ,							SCREAMING_SNAKE_CASE__				:       List[str]=5_1_2     ,							SCREAMING_SNAKE_CASE__				:       Optional[Any]=2     ,							SCREAMING_SNAKE_CASE__				:       List[Any]=0.02     ,							SCREAMING_SNAKE_CASE__				:       Any=1E-12     ,							SCREAMING_SNAKE_CASE__				:       int=1     ,							SCREAMING_SNAKE_CASE__				:       int=0     ,							SCREAMING_SNAKE_CASE__				:       Optional[int]=2     ,							SCREAMING_SNAKE_CASE__				:       Optional[int]=7_6_8     ,							SCREAMING_SNAKE_CASE__				:       Union[str, Any]=2     ,							SCREAMING_SNAKE_CASE__				:       List[Any]=9     ,							SCREAMING_SNAKE_CASE__				:       List[Any]=1     ,							SCREAMING_SNAKE_CASE__				:       Dict=None     ,							**SCREAMING_SNAKE_CASE__				:       List[Any]     ,							)		->			Any:
             super().__init__(
                 pad_token_id=SCREAMING_SNAKE_CASE__     ,							bos_token_id=SCREAMING_SNAKE_CASE__     ,							eos_token_id=SCREAMING_SNAKE_CASE__     ,							**SCREAMING_SNAKE_CASE__     ,							)

             a_					:		Tuple							=  vocab_size
             a_					:		List[str]							=  hidden_size
             a_					:		List[str]							=  num_hidden_layers
             a_					:		Dict							=  num_attention_heads
             a_					:		Optional[int]							=  intermediate_size
             a_					:		int							=  hidden_act
             a_					:		Dict							=  hidden_dropout_prob
             a_					:		int							=  attention_probs_dropout_prob
             a_					:		str							=  max_position_embeddings
             a_					:		List[str]							=  type_vocab_size
             a_					:		List[str]							=  initializer_range
             a_					:		Tuple							=  layer_norm_eps
             a_					:		Optional[int]							=  embedding_size
             a_					:		List[Any]							=  head_ratio
             a_					:		List[Any]							=  conv_kernel_size
             a_					:		Tuple							=  num_groups
             a_					:		Tuple							=  classifier_dropout
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      @property
      def        SCREAMING_SNAKE_CASE							(       self				:       List[str]     )		->			Mapping[str, Mapping[int, str]]:
             if self.task == "multiple-choice":
                    a_					:		Tuple							=  {0: 'batch', 1: 'choice', 2: 'sequence'}
             else:
                    a_					:		List[str]							=  {0: 'batch', 1: 'sequence'}
             return OrderedDict(
                 [
                     ('input_ids', dynamic_axis),
                     ('attention_mask', dynamic_axis),
                     ('token_type_ids', dynamic_axis),
                 ]     )


