





from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

__A             =       TypeVar("KEY")
__A             =       TypeVar("VAL")



@dataclass(frozen=A_					,							slots=A_					)
class      _SCREAMING_SNAKE_CASE		(			Generic[KEY, VAL]					):







 '''simple docstring'''
 lowercase_	=    42
 lowercase_	=    42



class      _SCREAMING_SNAKE_CASE		(			_Item					):







 '''simple docstring'''

 def __init__(self       :     Optional[int]) ->Dict:



   '''simple docstring'''



   super().__init__(UpperCAmelCase_ ,				UpperCAmelCase_)







 def __bool__(self       :     Tuple) ->Any:



   '''simple docstring'''



   return False



__A             =       _DeletedItem()



class      _SCREAMING_SNAKE_CASE		(			MutableMapping[KEY, VAL]					):







 '''simple docstring'''

 def __init__(self       :     List[Any] ,				UpperCAmelCase_       :     Union[str, Any] = 8 ,				UpperCAmelCase_       :     str = 0.75) ->Dict:



   '''simple docstring'''



   lowerCamelCase__:   Optional[int]    						=initial_block_size
   lowerCamelCase__:   list[_Item | None]    						=[None] * initial_block_size
   assert 0.0 < capacity_factor < 1.0
   lowerCamelCase__:   Optional[Any]    						=capacity_factor
   lowerCamelCase__:   Tuple    						=0

 def 							SCREAMING_SNAKE_CASE_      (self       :     Union[str, Any] ,				UpperCAmelCase_       :     Optional[int]) ->int:



   '''simple docstring'''



   return hash(UpperCAmelCase_) % len(self._buckets)

 def 							SCREAMING_SNAKE_CASE_      (self       :     List[Any] ,				UpperCAmelCase_       :     List[Any]) ->Union[str, Any]:



   '''simple docstring'''



   return (ind + 1) % len(self._buckets)

 def 							SCREAMING_SNAKE_CASE_      (self       :     Optional[int] ,				UpperCAmelCase_       :     Union[str, Any] ,				UpperCAmelCase_       :     List[Any] ,				UpperCAmelCase_       :     List[Any]) ->Optional[Any]:



   '''simple docstring'''



   lowerCamelCase__:   str    						=self._buckets[ind]
   if not stored:
     lowerCamelCase__:   Optional[Any]    						=_Item(UpperCAmelCase_ ,				UpperCAmelCase_)
     self._len += 1
     return True
   elif stored.key == key:
     lowerCamelCase__:   Optional[int]    						=_Item(UpperCAmelCase_ ,				UpperCAmelCase_)
     return True
   else:
     return False

 def 							SCREAMING_SNAKE_CASE_      (self       :     Optional[int]) ->Tuple:



   '''simple docstring'''



   lowerCamelCase__:   Optional[Any]    						=len(self._buckets) * self._capacity_factor
   return len(self) >= int(UpperCAmelCase_)

 def 							SCREAMING_SNAKE_CASE_      (self       :     List[Any]) ->str:



   '''simple docstring'''



   if len(self._buckets) <= self._initial_block_size:
     return False
   lowerCamelCase__:   Dict    						=len(self._buckets) * self._capacity_factor / 2
   return len(self) < limit

 def 							SCREAMING_SNAKE_CASE_      (self       :     Optional[int] ,				UpperCAmelCase_       :     Optional[Any]) ->List[str]:



   '''simple docstring'''



   lowerCamelCase__:   List[str]    						=self._buckets
   lowerCamelCase__:   Tuple    						=[None] * new_size
   lowerCamelCase__:   Dict    						=0
   for item in old_buckets:
     if item:
       self._add_item(item.key ,				item.val)

 def 							SCREAMING_SNAKE_CASE_      (self       :     Optional[Any]) ->List[str]:



   '''simple docstring'''



   self._resize(len(self._buckets) * 2)

 def 							SCREAMING_SNAKE_CASE_      (self       :     Tuple) ->Union[str, Any]:



   '''simple docstring'''



   self._resize(len(self._buckets) // 2)

 def 							SCREAMING_SNAKE_CASE_      (self       :     Optional[int] ,				UpperCAmelCase_       :     int) ->int:



   '''simple docstring'''



   lowerCamelCase__:   int    						=self._get_bucket_index(UpperCAmelCase_)
   for _ in range(len(self._buckets)):
     yield ind
     lowerCamelCase__:   int    						=self._get_next_ind(UpperCAmelCase_)

 def 							SCREAMING_SNAKE_CASE_      (self       :     Optional[Any] ,				UpperCAmelCase_       :     Tuple ,				UpperCAmelCase_       :     List[str]) ->Dict:



   '''simple docstring'''



   for ind in self._iterate_buckets(UpperCAmelCase_):
     if self._try_set(UpperCAmelCase_ ,				UpperCAmelCase_ ,				UpperCAmelCase_):
       break

 def __setitem__(self       :     Optional[Any] ,				UpperCAmelCase_       :     Optional[Any] ,				UpperCAmelCase_       :     str) ->Optional[int]:



   '''simple docstring'''



   if self._is_full():
     self._size_up()

   self._add_item(UpperCAmelCase_ ,				UpperCAmelCase_)

 def __delitem__(self       :     List[str] ,				UpperCAmelCase_       :     List[Any]) ->List[Any]:



   '''simple docstring'''



   for ind in self._iterate_buckets(UpperCAmelCase_):
     lowerCamelCase__:   Any    						=self._buckets[ind]
     if item is None:
       raise KeyError(UpperCAmelCase_)
     if item is _deleted:
       continue
     if item.key == key:
       lowerCamelCase__:   Optional[int]    						=_deleted
       self._len -= 1
       break
   if self._is_sparse():
     self._size_down()

 def __getitem__(self       :     Optional[int] ,				UpperCAmelCase_       :     List[str]) ->List[str]:



   '''simple docstring'''



   for ind in self._iterate_buckets(UpperCAmelCase_):
     lowerCamelCase__:   List[str]    						=self._buckets[ind]
     if item is None:
       break
     if item is _deleted:
       continue
     if item.key == key:
       return item.val
   raise KeyError(UpperCAmelCase_)

 def __len__(self       :     Union[str, Any]) ->List[Any]:



   '''simple docstring'''



   return self._len

 def __iter__(self       :     Optional[Any]) ->List[Any]:



   '''simple docstring'''



   yield from (item.key for item in self._buckets if item)







 def __repr__(self       :     str) ->Union[str, Any]:



   '''simple docstring'''



   lowerCamelCase__:   int    						=""" ,""".join(
       F"""{item.key}: {item.val}""" for item in self._buckets if item)
   return F"""HashMap({val_string})"""








from collections import OrderedDict
from typing import Mapping

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


__A             =       logging.get_logger(__name__)

__A             =       {
    "facebook/xlm-roberta-xl": "https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json",
    "facebook/xlm-roberta-xxl": "https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json",
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}



class      _SCREAMING_SNAKE_CASE		(			__SCREAMING_SNAKE_CASE					):







 '''simple docstring'''
 lowercase_	=    "xlm-roberta-xl"

 def __init__(self       :     Tuple ,				UpperCAmelCase_       :     Union[str, Any]=250_880 ,				UpperCAmelCase_       :     Optional[int]=2_560 ,				UpperCAmelCase_       :     Union[str, Any]=36 ,				UpperCAmelCase_       :     str=32 ,				UpperCAmelCase_       :     Dict=10_240 ,				UpperCAmelCase_       :     Optional[int]="gelu" ,				UpperCAmelCase_       :     Tuple=0.1 ,				UpperCAmelCase_       :     List[Any]=0.1 ,				UpperCAmelCase_       :     List[Any]=514 ,				UpperCAmelCase_       :     List[Any]=1 ,				UpperCAmelCase_       :     Dict=0.02 ,				UpperCAmelCase_       :     Dict=1E-0_5 ,				UpperCAmelCase_       :     int=1 ,				UpperCAmelCase_       :     Dict=0 ,				UpperCAmelCase_       :     Optional[Any]=2 ,				UpperCAmelCase_       :     Union[str, Any]="absolute" ,				UpperCAmelCase_       :     str=True ,				UpperCAmelCase_       :     str=None ,				**UpperCAmelCase_       :     List[str] ,				) ->int:



   '''simple docstring'''



   super().__init__(pad_token_id=UpperCAmelCase_ ,				bos_token_id=UpperCAmelCase_ ,				eos_token_id=UpperCAmelCase_ ,				**UpperCAmelCase_)
   lowerCamelCase__:   List[str]    						=vocab_size
   lowerCamelCase__:   List[Any]    						=hidden_size
   lowerCamelCase__:   Any    						=num_hidden_layers
   lowerCamelCase__:   Optional[Any]    						=num_attention_heads
   lowerCamelCase__:   Dict    						=hidden_act
   lowerCamelCase__:   str    						=intermediate_size
   lowerCamelCase__:   List[Any]    						=hidden_dropout_prob
   lowerCamelCase__:   List[str]    						=attention_probs_dropout_prob
   lowerCamelCase__:   Union[str, Any]    						=max_position_embeddings
   lowerCamelCase__:   Optional[int]    						=type_vocab_size
   lowerCamelCase__:   Tuple    						=initializer_range
   lowerCamelCase__:   Tuple    						=layer_norm_eps
   lowerCamelCase__:   Dict    						=position_embedding_type
   lowerCamelCase__:   Optional[int]    						=use_cache
   lowerCamelCase__:   List[str]    						=classifier_dropout



class      _SCREAMING_SNAKE_CASE		(			__SCREAMING_SNAKE_CASE					):







 '''simple docstring'''

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



   '''simple docstring'''



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

