import warnings

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


UpperCamelCase  							=						logging.get_logger(__name__)

UpperCamelCase  							=						{
    '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/config.json''',
    '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/config.json''',
}



class   snake_case_       (		__A       ):
   __A	:		int         =				"xlnet"
   __A	:		List[Any]         =				["mems"]
   __A	:		List[str]         =				{
       "n_token": "vocab_size",  # Backward compatibility
       "hidden_size": "d_model",
       "num_attention_heads": "n_head",
       "num_hidden_layers": "n_layer",
   }






   def __init__(      self				:     Dict	,						lowercase_				:     List[Any]=3_20_00	,						lowercase_				:     Any=10_24	,						lowercase_				:     Dict=24	,						lowercase_				:     Any=16	,						lowercase_				:     List[Any]=40_96	,						lowercase_				:     Union[str, Any]="gelu"	,						lowercase_				:     Dict=True	,						lowercase_				:     Dict="bi"	,						lowercase_				:     Optional[int]=0.02	,						lowercase_				:     Optional[Any]=1E-12	,						lowercase_				:     Union[str, Any]=0.1	,						lowercase_				:     Tuple=5_12	,						lowercase_				:     Union[str, Any]=None	,						lowercase_				:     str=True	,						lowercase_				:     List[Any]=False	,						lowercase_				:     Union[str, Any]=False	,						lowercase_				:     List[str]=-1	,						lowercase_				:     Optional[int]=False	,						lowercase_				:     str="last"	,						lowercase_				:     List[Any]=True	,						lowercase_				:     Any="tanh"	,						lowercase_				:     Union[str, Any]=0.1	,						lowercase_				:     int=5	,						lowercase_				:     str=5	,						lowercase_				:     str=5	,						lowercase_				:     Optional[int]=1	,						lowercase_				:     Dict=2	,						**lowercase_				:     Union[str, Any]	,						)					->						int:
       lowercase__ :   Optional[int]    					=				vocab_size
       lowercase__ :   List[str]    					=				d_model
       lowercase__ :   Union[str, Any]    					=				n_layer
       lowercase__ :   Any    					=				n_head
       if d_model % n_head != 0:
           raise ValueError(F'''\'d_model % n_head\' ({d_model % n_head}) should be equal to 0'''  )
       if "d_head" in kwargs:
           if kwargs["d_head"] != d_model // n_head:
               raise ValueError(
                   F'''`d_head` ({kwargs["d_head"]}) should be equal to `d_model // n_head` ({d_model // n_head})'''  )
       lowercase__ :   List[Any]    					=				d_model // n_head
       lowercase__ :   List[str]    					=				ff_activation
       lowercase__ :   Optional[Any]    					=				d_inner
       lowercase__ :   int    					=				untie_r
       lowercase__ :   int    					=				attn_type

       lowercase__ :   Dict    					=				initializer_range
       lowercase__ :   List[str]    					=				layer_norm_eps

       lowercase__ :   List[Any]    					=				dropout
       lowercase__ :   Optional[Any]    					=				mem_len
       lowercase__ :   Any    					=				reuse_len
       lowercase__ :   List[str]    					=				bi_data
       lowercase__ :   str    					=				clamp_len
       lowercase__ :   Tuple    					=				same_length

       lowercase__ :   List[Any]    					=				summary_type
       lowercase__ :   str    					=				summary_use_proj
       lowercase__ :   List[str]    					=				summary_activation
       lowercase__ :   List[str]    					=				summary_last_dropout
       lowercase__ :   str    					=				start_n_top
       lowercase__ :   List[str]    					=				end_n_top

       lowercase__ :   List[Any]    					=				bos_token_id
       lowercase__ :   Tuple    					=				pad_token_id
       lowercase__ :   Any    					=				eos_token_id

       if "use_cache" in kwargs:
           warnings.warn(
               "The `use_cache` argument is deprecated and will be removed in a future version, use `use_mems_eval`"
               " instead."	,						lowercase_	,						)
           lowercase__ :   Tuple    					=				kwargs["use_cache"]

       lowercase__ :   str    					=				use_mems_eval
       lowercase__ :   List[str]    					=				use_mems_train
       super().__init__(pad_token_id=lowercase_	,						bos_token_id=lowercase_	,						eos_token_id=lowercase_	,						**lowercase_  )






   @property
   def       __UpperCamelCase     (      self				:     List[Any]  )					->						Union[str, Any]:
       logger.info(F'''The model {self.model_type} is one of the few models that has no sequence length limit.'''  )
       return -1







   @max_position_embeddings.setter
   def       __UpperCamelCase     (      self				:     Dict	,						lowercase_				:     List[Any]  )					->						Any:
       # Message copied from Transformer-XL documentation
       raise NotImplementedError(
           F'''The model {self.model_type} is one of the few models that has no sequence length limit.'''  )











class __lowerCamelCase :





	"""simple docstring"""






	def __init__(							self       ,    UpperCAmelCase = ""       ,    UpperCAmelCase = False    ):
							"""simple docstring"""







							_UpperCAmelCase									=			{}

							# A node will be a leaf if the tree contains its word
							_UpperCAmelCase									=			is_leaf

							_UpperCAmelCase									=			prefix

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			0
							for q, w in zip(self.prefix       ,    UpperCAmelCase    ):
													if q != w:
																			break

													x += 1

							return self.prefix[:x], self.prefix[x:], word[x:]

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							for word in words:
													self.insert(UpperCAmelCase    )

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							if self.prefix == word:
													_UpperCAmelCase									=			True

							# Case 2: The node has no edges that have a prefix to the word
							# Solution: We create an edge from the current node to a new one
							# containing the word
							elif word[0] not in self.nodes:
													_UpperCAmelCase									=			RadixNode(prefix=UpperCAmelCase       ,    is_leaf=UpperCAmelCase    )

							else:
													_UpperCAmelCase									=			self.nodes[word[0]]
													_UpperCAmelCase					, _UpperCAmelCase					, _UpperCAmelCase									=			incoming_node.match(
													    UpperCAmelCase    )

													# Case 3: The node prefix is equal to the matching
													# Solution: We insert remaining word on the next node
													if remaining_prefix == "":
																			self.nodes[matching_string[0]].insert(UpperCAmelCase    )

													# Case 4: The word is greater equal to the matching
													# Solution: Create a node in between both nodes, change
													# prefixes and add the new node for the remaining word
													else:
																			_UpperCAmelCase									=			remaining_prefix

																			_UpperCAmelCase									=			self.nodes[matching_string[0]]
																			_UpperCAmelCase									=			RadixNode(UpperCAmelCase       ,    UpperCAmelCase    )
																			_UpperCAmelCase									=			aux_node

																			if remaining_word == "":
																									_UpperCAmelCase									=			True
																			else:
																									self.nodes[matching_string[0]].insert(UpperCAmelCase    )

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			self.nodes.get(word[0]       ,    UpperCAmelCase    )
							if not incoming_node:
													return False
							else:
													_UpperCAmelCase					, _UpperCAmelCase					, _UpperCAmelCase									=			incoming_node.match(
													    UpperCAmelCase    )
													# If there is remaining prefix, the word can't be on the tree
													if remaining_prefix != "":
																			return False
													# This applies when the word and the prefix are equal
													elif remaining_word == "":
																			return incoming_node.is_leaf
													# We have word remaining so we check the next node
													else:
																			return incoming_node.find(UpperCAmelCase    )

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			self.nodes.get(word[0]       ,    UpperCAmelCase    )
							if not incoming_node:
													return False
							else:
													_UpperCAmelCase					, _UpperCAmelCase					, _UpperCAmelCase									=			incoming_node.match(
													    UpperCAmelCase    )
													# If there is remaining prefix, the word can't be on the tree
													if remaining_prefix != "":
																			return False
													# We have word remaining so we check the next node
													elif remaining_word != "":
																			return incoming_node.delete(UpperCAmelCase    )
													else:
																			# If it is not a leaf, we don't have to delete
																			if not incoming_node.is_leaf:
																									return False
																			else:
																									# We delete the nodes if no edges go from it
																									if len(incoming_node.nodes    ) == 0:
																															del self.nodes[word[0]]
																															# We merge the current node with its only child
																															if len(self.nodes    ) == 1 and not self.is_leaf:
																																					_UpperCAmelCase									=			list(self.nodes.values()    )[0]
																																					_UpperCAmelCase									=			merging_node.is_leaf
																																					self.prefix += merging_node.prefix
																																					_UpperCAmelCase									=			merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
																									elif len(incoming_node.nodes    ) > 1:
																															_UpperCAmelCase									=			False
																									# If there is 1 edge, we merge it with its child
																									else:
																															_UpperCAmelCase									=			list(incoming_node.nodes.values()    )[0]
																															_UpperCAmelCase									=			merging_node.is_leaf
																															incoming_node.prefix += merging_node.prefix
																															_UpperCAmelCase									=			merging_node.nodes

																									return True

	def        UpperCamelCase    (							self       ,    UpperCAmelCase = 0    ):
							"""simple docstring"""







							if self.prefix != "":
													print('-' * height       ,    self.prefix       ,    '  (leaf)' if self.is_leaf else ''    )

							for value in self.nodes.values():
													value.print_tree(height + 1    )



def __A    (      )->  bool:





						"""simple docstring"""



						_UpperCAmelCase									=			'banana bananas bandana band apple all beast'.split()
						_UpperCAmelCase									=			RadixNode()
						root.insert_many(__lowerCAmelCase	)

						assert all(root.find(__lowerCAmelCase	) for word in words	)
						assert not root.find('bandanas'	)
						assert not root.find('apps'	)
						root.delete('all'	)
						assert not root.find('all'	)
						root.delete('banana'	)
						assert not root.find('banana'	)
						assert root.find('bananas'	)

						return True


def __A    (      )->  None:





						"""simple docstring"""



						assert test_trie()


def __A    (      )->  None:





						"""simple docstring"""



						_UpperCAmelCase									=			RadixNode()
						_UpperCAmelCase									=			'banana bananas bandanas bandana band apple all beast'.split()
						root.insert_many(__lowerCAmelCase	)

						print('Words:' ,		__lowerCAmelCase	)
						print('Tree:'	)
						root.print_tree()


if __name__ == "__main__":
		main()
