



# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


SCREAMING_SNAKE_CASE     				=						re.compile(R"^(?P<major>\d+)" R"\.(?P<minor>\d+)" R"\.(?P<patch>\d+)$")



@total_ordering
@dataclass
class 	lowerCamelCase      :







					'''simple docstring'''







					lowerCAmelCase_				:    str
					lowerCAmelCase_				:    Optional[str]									=  None
					lowerCAmelCase_				:    Optional[Union[str, int]]									=  None
					lowerCAmelCase_				:    Optional[Union[str, int]]									=  None
					lowerCAmelCase_				:    Optional[Union[str, int]]									=  None



					def    A__		(			self     ):
							UpperCAmelCase_					,						UpperCAmelCase_					,						UpperCAmelCase_						=				_str_to_version_tuple(self.version_str     )



					def __repr__(			self     ):
							return f'''{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}'''



					@property
					def    A__		(			self     ):
							return self.major, self.minor, self.patch



					def    A__		(			self    ,	lowerCAmelCase     ):
							if isinstance(lowerCAmelCase    ,	lowerCAmelCase     ):
									return Version(lowerCAmelCase     )
							elif isinstance(lowerCAmelCase    ,	lowerCAmelCase     ):
									return other
							raise TypeError(f'''{other} (type {type(lowerCAmelCase     )}) cannot be compared to version.'''     )



					def __eq__(			self    ,	lowerCAmelCase     ):
							try:
									UpperCAmelCase_						=				self._validate_operand(lowerCAmelCase     )
							except (TypeError, ValueError):
									return False
							else:
									return self.tuple == other.tuple



					def __lt__(			self    ,	lowerCAmelCase     ):
							UpperCAmelCase_						=				self._validate_operand(lowerCAmelCase     )
							return self.tuple < other.tuple



					def __hash__(			self     ):
							return hash(_version_tuple_to_str(self.tuple     )     )



					@classmethod
					def    A__		(			cls    ,	lowerCAmelCase     ):
							UpperCAmelCase_						=				{f.name for f in dataclasses.fields(cls     )}
							return cls(**{k: v for k, v in dic.items() if k in field_names}     )



					def    A__		(			self     ):
							return self.version_str







def snake_case__  (			__SCREAMING_SNAKE_CASE )		->							List[Any]:
		UpperCAmelCase_						=				_VERSION_REG.match(__SCREAMING_SNAKE_CASE )
		if not res:
				raise ValueError(f'''Invalid version \'{version_str}\'. Format should be x.y.z with {{x,y,z}} being digits.''' )
		return tuple(int(__SCREAMING_SNAKE_CASE ) for v in [res.group("major" ), res.group("minor" ), res.group("patch" )] )







def snake_case__  (			__SCREAMING_SNAKE_CASE )		->							int:
		return ".".join(str(__SCREAMING_SNAKE_CASE ) for v in version_tuple )






from collections import OrderedDict
from typing import Mapping

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


SCREAMING_SNAKE_CASE     				=						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE     				=						{
    "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 	lowerCamelCase      (						lowercase__  ):







					'''simple docstring'''







					lowerCAmelCase_				:    List[str]									=  'xlm-roberta'



					def __init__(			self    ,	lowerCAmelCase=3_0522    ,	lowerCAmelCase=768    ,	lowerCAmelCase=12    ,	lowerCAmelCase=12    ,	lowerCAmelCase=3072    ,	lowerCAmelCase="gelu"    ,	lowerCAmelCase=0.1    ,	lowerCAmelCase=0.1    ,	lowerCAmelCase=512    ,	lowerCAmelCase=2    ,	lowerCAmelCase=0.02    ,	lowerCAmelCase=1e-1_2    ,	lowerCAmelCase=1    ,	lowerCAmelCase=0    ,	lowerCAmelCase=2    ,	lowerCAmelCase="absolute"    ,	lowerCAmelCase=True    ,	lowerCAmelCase=None    ,	**lowerCAmelCase    ,	):
							super().__init__(pad_token_id=lowerCAmelCase    ,	bos_token_id=lowerCAmelCase    ,	eos_token_id=lowerCAmelCase    ,	**lowerCAmelCase     )

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





class 	lowerCamelCase      (						lowercase__  ):







					'''simple docstring'''







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

