class 	lowerCamelCase_     :






    '''simple docstring'''






    def __init__(	self , __lowercase = "" , __lowercase = False)       ->	None:
        # Mapping from the first character of the prefix of the node
        __UpperCamelCase     :dict[str, RadixNode]			  =		{}

        # A node will be a leaf if the tree contains its word
        __UpperCamelCase     :str			  =		is_leaf

        __UpperCamelCase     :Union[str, Any]			  =		prefix







    def 			UpperCamelCase__   (	self , __lowercase)       ->	tuple[str, str, str]:
        __UpperCamelCase     :Dict			  =		0
        for q, w in zip(self.prefix , __lowercase):
            if q != w:
                break

            x += 1

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







    def 			UpperCamelCase__   (	self , __lowercase)       ->	None:
        for word in words:
            self.insert(__lowercase)







    def 			UpperCamelCase__   (	self , __lowercase)       ->	None:
        # Case 1: If the word is the prefix of the node
        # Solution: We set the current node as leaf
        if self.prefix == word:
            __UpperCamelCase     :Dict			  =		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     :Optional[int]			  =		RadixNode(prefix=__lowercase , is_leaf=__lowercase)

        else:
            __UpperCamelCase     :Optional[int]			  =		self.nodes[word[0]]
            __UpperCamelCase  ,       __UpperCamelCase  ,       __UpperCamelCase     :Any			  =		incoming_node.match(
                __lowercase)

            # 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(__lowercase)

            # 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     :Optional[Any]			  =		remaining_prefix

                __UpperCamelCase     :str			  =		self.nodes[matching_string[0]]
                __UpperCamelCase     :Any			  =		RadixNode(__lowercase , __lowercase)
                __UpperCamelCase     :Optional[int]			  =		aux_node

                if remaining_word == "":
                    __UpperCamelCase     :List[str]			  =		True
                else:
                    self.nodes[matching_string[0]].insert(__lowercase)







    def 			UpperCamelCase__   (	self , __lowercase)       ->	bool:
        __UpperCamelCase     :Dict			  =		self.nodes.get(word[0] , __lowercase)
        if not incoming_node:
            return False
        else:
            __UpperCamelCase  ,       __UpperCamelCase  ,       __UpperCamelCase     :List[Any]			  =		incoming_node.match(
                __lowercase)
            # 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(__lowercase)







    def 			UpperCamelCase__   (	self , __lowercase)       ->	bool:
        __UpperCamelCase     :List[Any]			  =		self.nodes.get(word[0] , __lowercase)
        if not incoming_node:
            return False
        else:
            __UpperCamelCase  ,       __UpperCamelCase  ,       __UpperCamelCase     :Optional[int]			  =		incoming_node.match(
                __lowercase)
            # 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(__lowercase)
            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     :Dict			  =		list(self.nodes.values())[0]
                            __UpperCamelCase     :Any			  =		merging_node.is_leaf
                            self.prefix += merging_node.prefix
                            __UpperCamelCase     :Optional[int]			  =		merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
                    elif len(incoming_node.nodes) > 1:
                        __UpperCamelCase     :int			  =		False
                    # If there is 1 edge, we merge it with its child
                    else:
                        __UpperCamelCase     :Union[str, Any]			  =		list(incoming_node.nodes.values())[0]
                        __UpperCamelCase     :Tuple			  =		merging_node.is_leaf
                        incoming_node.prefix += merging_node.prefix
                        __UpperCamelCase     :Any			  =		merging_node.nodes

                    return True







    def 			UpperCamelCase__   (	self , __lowercase = 0)       ->	None:
        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 lowerCamelCase  (   ):
    '''simple docstring'''







    __UpperCamelCase     :Any			  =		'''banana bananas bandana band apple all beast'''.split()
    __UpperCamelCase     :Any			  =		RadixNode()
    root.insert_many(SCREAMING_SNAKE_CASE	)

    assert all(root.find(SCREAMING_SNAKE_CASE	) 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 lowerCamelCase  (   ):
    '''simple docstring'''







    assert test_trie()



def lowerCamelCase  (   ):
    '''simple docstring'''







    __UpperCamelCase     :Any			  =		RadixNode()
    __UpperCamelCase     :Any			  =		'''banana bananas bandanas bandana band apple all beast'''.split()
    root.insert_many(SCREAMING_SNAKE_CASE	)

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


if __name__ == "__main__":
    main()










"""simple docstring"""

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


lowercase__    :  int							    =	logging.get_logger(__name__)

lowercase__    :  List[Any]							    =	{
    '''EleutherAI/gpt-neox-20b''': '''https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json''',
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}




class        _UpperCAmelCase       (			lowerCAmelCase__):
 _lowerCAmelCase   :			List[Any]							=		"""gpt_neox"""

 def __init__(     self		:       List[str]  ,     lowercase_		:       str=50432  ,     lowercase_		:       List[Any]=6144  ,     lowercase_		:       List[Any]=44  ,     lowercase_		:       Union[str, Any]=64  ,     lowercase_		:       List[str]=24576  ,     lowercase_		:       List[Any]="gelu"  ,     lowercase_		:       str=0.25  ,     lowercase_		:       Optional[int]=10000  ,     lowercase_		:       Optional[int]=0.0  ,     lowercase_		:       Optional[int]=0.0  ,     lowercase_		:       int=0.1  ,     lowercase_		:       Tuple=2048  ,     lowercase_		:       Union[str, Any]=0.02  ,     lowercase_		:       List[str]=1E-5  ,     lowercase_		:       str=True  ,     lowercase_		:       str=0  ,     lowercase_		:       Union[str, Any]=2  ,     lowercase_		:       List[str]=False  ,     lowercase_		:       Optional[int]=True  ,     lowercase_		:       List[Any]=None  ,     **lowercase_		:       Optional[int]  ,     ):
     super().__init__(bos_token_id=lowercase_  ,     eos_token_id=lowercase_  ,     **lowercase_				)
     snake_case_ :     List[str]				=	vocab_size
     snake_case_ :     Optional[Any]				=	max_position_embeddings
     snake_case_ :     str				=	hidden_size
     snake_case_ :     Dict				=	num_hidden_layers
     snake_case_ :     Dict				=	num_attention_heads
     snake_case_ :     List[Any]				=	intermediate_size
     snake_case_ :     List[Any]				=	hidden_act
     snake_case_ :     str				=	rotary_pct
     snake_case_ :     Dict				=	rotary_emb_base
     snake_case_ :     Optional[int]				=	attention_dropout
     snake_case_ :     Tuple				=	hidden_dropout
     snake_case_ :     Tuple				=	classifier_dropout
     snake_case_ :     List[str]				=	initializer_range
     snake_case_ :     Union[str, Any]				=	layer_norm_eps
     snake_case_ :     Any				=	use_cache
     snake_case_ :     Optional[int]				=	tie_word_embeddings
     snake_case_ :     Any				=	use_parallel_residual
     snake_case_ :     Union[str, Any]				=	rope_scaling
     self._rope_scaling_validation()

     if self.hidden_size % self.num_attention_heads != 0:
         raise ValueError(
             '''The hidden size is not divisble by the number of attention heads! Make sure to update them!'''				)






 def 						_snake_case					(     self		:       Optional[int]				):
     if self.rope_scaling is None:
         return

     if not isinstance(self.rope_scaling  ,     lowercase_				) or len(self.rope_scaling				) != 2:
         raise ValueError(
             '''`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '''
             f"got {self.rope_scaling}"				)
     snake_case_ :     Any				=	self.rope_scaling.get('''type'''  ,     lowercase_				)
     snake_case_ :     Union[str, Any]				=	self.rope_scaling.get('''factor'''  ,     lowercase_				)
     if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
         raise ValueError(
             f"`rope_scaling`'s name field must be one of ['linear', 'dynamic'], got {rope_scaling_type}"				)
     if rope_scaling_factor is None or not isinstance(lowercase_  ,     lowercase_				) or rope_scaling_factor <= 1.0:
         raise ValueError(f"`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}"				)





