




from collections import OrderedDict
from typing import Mapping

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


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

_lowerCamelCase     :		Tuple								=       {
    """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     UpperCamelCase_   (			UpperCAmelCase__					):

    '''simple docstring'''






    UpperCAmelCase__							  =				'''xlm-roberta'''


    def __init__(      self				:     str ,			UpperCAmelCase__				:     Union[str, Any]=30_522 ,			UpperCAmelCase__				:     Any=768 ,			UpperCAmelCase__				:     Optional[Any]=12 ,			UpperCAmelCase__				:     Optional[int]=12 ,			UpperCAmelCase__				:     List[str]=3_072 ,			UpperCAmelCase__				:     List[str]="gelu" ,			UpperCAmelCase__				:     Optional[int]=0.1 ,			UpperCAmelCase__				:     int=0.1 ,			UpperCAmelCase__				:     Optional[Any]=512 ,			UpperCAmelCase__				:     int=2 ,			UpperCAmelCase__				:     Any=0.02 ,			UpperCAmelCase__				:     Optional[int]=1e-12 ,			UpperCAmelCase__				:     Union[str, Any]=1 ,			UpperCAmelCase__				:     Any=0 ,			UpperCAmelCase__				:     Optional[int]=2 ,			UpperCAmelCase__				:     str="absolute" ,			UpperCAmelCase__				:     Tuple=True ,			UpperCAmelCase__				:     List[Any]=None ,			**UpperCAmelCase__				:     Optional[Any] ,			)						->Dict:





           '''simple docstring'''

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

           A__							=   vocab_size
           A__							=   hidden_size
           A__							=   num_hidden_layers
           A__							=   num_attention_heads
           A__							=   hidden_act
           A__							=   intermediate_size
           A__							=   hidden_dropout_prob
           A__							=   attention_probs_dropout_prob
           A__							=   max_position_embeddings
           A__							=   type_vocab_size
           A__							=   initializer_range
           A__							=   layer_norm_eps
           A__							=   position_embedding_type
           A__							=   use_cache
           A__							=   classifier_dropout


class     UpperCamelCase_   (			UpperCAmelCase__					):

    '''simple docstring'''






    @property
    def 	SCREAMING_SNAKE_CASE							(      self				:     List[str])						->Mapping[str, Mapping[int, str]]:





           '''simple docstring'''

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








from __future__ import annotations

from collections import Counter
from random import random


class     UpperCamelCase_   :

    '''simple docstring'''






    def __init__(      self				:     Any)						->Optional[Any]:





           '''simple docstring'''

           A__							=   {}


    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[int] ,			UpperCAmelCase__				:     str)						->None:





           '''simple docstring'''

           A__							=   {}


    def 	SCREAMING_SNAKE_CASE							(      self				:     List[str] ,			UpperCAmelCase__				:     str ,			UpperCAmelCase__				:     str ,			UpperCAmelCase__				:     float)						->None:





           '''simple docstring'''

           if nodea not in self.connections:
                  self.add_node(UpperCAmelCase__)
           if nodea not in self.connections:
                  self.add_node(UpperCAmelCase__)
           A__							=   probability


    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[int])						->list[str]:





           '''simple docstring'''

           return list(self.connections)





    def 	SCREAMING_SNAKE_CASE							(      self				:     Any ,			UpperCAmelCase__				:     str)						->str:





           '''simple docstring'''

           A__							=   0
           A__							=   random()

           for dest in self.connections[node]:
                  current_probability += self.connections[node][dest]
                  if current_probability > random_value:
                         return dest
           return ""







def SCREAMING_SNAKE_CASE    (	lowercase_			,    lowercase_			,    lowercase_						)       ->	dict[str, int]:



       """simple docstring"""

       A__							=   MarkovChainGraphUndirectedUnweighted()

       for nodea, nodea, probability in transitions:
              graph.add_transition_probability(lowercase_			,    lowercase_			,    lowercase_						)

       A__							=   Counter(graph.get_nodes()						)
       A__							=   start

       for _ in range(lowercase_						):
              A__							=   graph.transition(lowercase_						)
              visited[node] += 1

       return visited


if __name__ == "__main__":
  import doctest

  doctest.testmod()


