


class 			_lowercase :


       """simple docstring"""




       def __init__(   self							:			List[Any]					,      __lowerCamelCase							:			str = ""					,      __lowerCamelCase							:			bool = False       ):


             '''simple docstring'''



             lowerCamelCase__		:				dict[str, RadixNode]    =  {}

             # A node will be a leaf if the tree contains its word
             lowerCamelCase__		:				List[Any]    =  is_leaf

             lowerCamelCase__		:				str    =  prefix





       def 						lowerCAmelCase     (   self							:			Tuple					,      __lowerCamelCase							:			str       ):


             '''simple docstring'''



             lowerCamelCase__		:				Dict    =  0
             for q, w in zip(self.prefix					,      __lowerCamelCase       ):
                   if q != w:
                         break

                   x += 1

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





       def 						lowerCAmelCase     (   self							:			Dict					,      __lowerCamelCase							:			list[str]       ):


             '''simple docstring'''



             for word in words:
                   self.insert(__lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			Tuple					,      __lowerCamelCase							:			str       ):


             '''simple docstring'''



             if self.prefix == word:
                   lowerCamelCase__		:				Optional[int]    =  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:
                   lowerCamelCase__		:				Optional[Any]    =  RadixNode(prefix=__lowerCamelCase					,      is_leaf=__lowerCamelCase       )

             else:
                   lowerCamelCase__		:				List[str]    =  self.nodes[word[0]]
                   lowerCamelCase__    ,   lowerCamelCase__    ,   lowerCamelCase__		:				Dict    =  incoming_node.match(
                       __lowerCamelCase       )

                   # 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(__lowerCamelCase       )

                   # 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:
                         lowerCamelCase__		:				List[Any]    =  remaining_prefix

                         lowerCamelCase__		:				str    =  self.nodes[matching_string[0]]
                         lowerCamelCase__		:				Tuple    =  RadixNode(__lowerCamelCase					,      __lowerCamelCase       )
                         lowerCamelCase__		:				Any    =  aux_node

                         if remaining_word == "":
                               lowerCamelCase__		:				str    =  True
                         else:
                               self.nodes[matching_string[0]].insert(__lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			Optional[Any]					,      __lowerCamelCase							:			str       ):


             '''simple docstring'''



             lowerCamelCase__		:				Any    =  self.nodes.get(word[0]					,      __lowerCamelCase       )
             if not incoming_node:
                   return False
             else:
                   lowerCamelCase__    ,   lowerCamelCase__    ,   lowerCamelCase__		:				Any    =  incoming_node.match(
                       __lowerCamelCase       )
                   # 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(__lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			List[str]					,      __lowerCamelCase							:			str       ):


             '''simple docstring'''



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

                               return True





       def 						lowerCAmelCase     (   self							:			Tuple					,      __lowerCamelCase							:			int = 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       lowercase_		(		):

      """simple docstring"""




      lowerCamelCase__		:				Dict    =  "banana bananas bandana band apple all beast".split()
      lowerCamelCase__		:				Dict    =  RadixNode()
      root.insert_many(_A						)

      assert all(root.find(_A						) 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       lowercase_		(		):

      """simple docstring"""




      assert test_trie()

def       lowercase_		(		):

      """simple docstring"""




      lowerCamelCase__		:				Dict    =  RadixNode()
      lowerCamelCase__		:				Tuple    =  "banana bananas bandanas bandana band apple all beast".split()
      root.insert_many(_A						)

      print("Words:"    ,					_A						)
      print("Tree:"						)
      root.print_tree()


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


A      :    Union[str, Any]		=					logging.get_logger(__name__)

A      :    Optional[Any]		=					{
    "xlm-roberta-base": "https://huggingface.co/xlm-roberta-base/resolve/main/config.json",
    "xlm-roberta-large": "https://huggingface.co/xlm-roberta-large/resolve/main/config.json",
    "xlm-roberta-large-finetuned-conll02-dutch": (
        "https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json"
    ),
    "xlm-roberta-large-finetuned-conll02-spanish": (
        "https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json"
    ),
    "xlm-roberta-large-finetuned-conll03-english": (
        "https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json"
    ),
    "xlm-roberta-large-finetuned-conll03-german": (
        "https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json"
    ),
}







class 			_lowercase (							lowercase__):


       """simple docstring"""




       A__											=			"xlm-roberta"





       def __init__(   self							:			Union[str, Any]					,      __lowerCamelCase							:			Optional[Any]=30522					,      __lowerCamelCase							:			List[Any]=768					,      __lowerCamelCase							:			Union[str, Any]=12					,      __lowerCamelCase							:			int=12					,      __lowerCamelCase							:			Dict=3072					,      __lowerCamelCase							:			Optional[int]="gelu"					,      __lowerCamelCase							:			Optional[Any]=0.1					,      __lowerCamelCase							:			Tuple=0.1					,      __lowerCamelCase							:			str=512					,      __lowerCamelCase							:			Optional[Any]=2					,      __lowerCamelCase							:			Dict=0.0_2					,      __lowerCamelCase							:			List[str]=1E-1_2					,      __lowerCamelCase							:			Optional[int]=1					,      __lowerCamelCase							:			Union[str, Any]=0					,      __lowerCamelCase							:			Optional[int]=2					,      __lowerCamelCase							:			Dict="absolute"					,      __lowerCamelCase							:			Optional[Any]=True					,      __lowerCamelCase							:			Tuple=None					,      **__lowerCamelCase							:			int					,      ):


             '''simple docstring'''



             super().__init__(pad_token_id=__lowerCamelCase					,      bos_token_id=__lowerCamelCase					,      eos_token_id=__lowerCamelCase					,      **__lowerCamelCase       )

             lowerCamelCase__		:				str    =  vocab_size
             lowerCamelCase__		:				Any    =  hidden_size
             lowerCamelCase__		:				Optional[Any]    =  num_hidden_layers
             lowerCamelCase__		:				Union[str, Any]    =  num_attention_heads
             lowerCamelCase__		:				Any    =  hidden_act
             lowerCamelCase__		:				str    =  intermediate_size
             lowerCamelCase__		:				Optional[int]    =  hidden_dropout_prob
             lowerCamelCase__		:				Any    =  attention_probs_dropout_prob
             lowerCamelCase__		:				Union[str, Any]    =  max_position_embeddings
             lowerCamelCase__		:				List[str]    =  type_vocab_size
             lowerCamelCase__		:				Tuple    =  initializer_range
             lowerCamelCase__		:				Tuple    =  layer_norm_eps
             lowerCamelCase__		:				Any    =  position_embedding_type
             lowerCamelCase__		:				Any    =  use_cache
             lowerCamelCase__		:				Any    =  classifier_dropout







class 			_lowercase (							lowercase__):


       """simple docstring"""




       @property
       def 						lowerCAmelCase     (   self							:			Union[str, Any]       ):


             '''simple docstring'''



             if self.task == "multiple-choice":
                   lowerCamelCase__		:				List[str]    =  {0: "batch", 1: "choice", 2: "sequence"}
             else:
                   lowerCamelCase__		:				Any    =  {0: "batch", 1: "sequence"}
             return OrderedDict(
                 [
                     ("input_ids", dynamic_axis),
                     ("attention_mask", dynamic_axis),
                 ]       )


