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


_UpperCAmelCase      :				List[Any]          = re.compile(R"^(?P<major>\d+)" R"\.(?P<minor>\d+)" R"\.(?P<patch>\d+)$")


@total_ordering
@dataclass
class        lowercase      :
		__lowercase : str
		__lowercase : Optional[str]			  =       None
		__lowercase : Optional[Union[str, int]]			  =       None
		__lowercase : Optional[Union[str, int]]			  =       None
		__lowercase : Optional[Union[str, int]]			  =       None



		def __UpperCamelCase				(				self )						->      List[Any]:
				"""simple docstring"""
				UpperCamelCase			,						UpperCamelCase			,						UpperCamelCase						=  _str_to_version_tuple(self.version_str )



		def __repr__(				self )						->      Optional[Any]:
				"""simple docstring"""
				return F'''{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}'''



		@property
		def __UpperCamelCase				(				self )						->      str:
				"""simple docstring"""
				return self.major, self.minor, self.patch



		def __UpperCamelCase				(				self       ,   A_ )						->      Optional[Any]:
				"""simple docstring"""
				if isinstance(A_       ,   A_ ):
						return Version(A_ )
				elif isinstance(A_       ,   A_ ):
						return other
				raise TypeError(F'''{other} (type {type(A_ )}) cannot be compared to version.''' )



		def __eq__(				self       ,   A_ )						->      int:
				"""simple docstring"""
				try:
						UpperCamelCase						=  self._validate_operand(A_ )
				except (TypeError, ValueError):
						return False
				else:
						return self.tuple == other.tuple



		def __lt__(				self       ,   A_ )						->      Any:
				"""simple docstring"""
				UpperCamelCase						=  self._validate_operand(A_ )
				return self.tuple < other.tuple



		def __hash__(				self )						->      List[Any]:
				"""simple docstring"""
				return hash(_version_tuple_to_str(self.tuple ) )



		@classmethod
		def __UpperCamelCase				(				cls       ,   A_ )						->      Optional[Any]:
				"""simple docstring"""
				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 __UpperCamelCase				(				self )						->      str:
				"""simple docstring"""
				return self.version_str






def    A (      lowercase				)     ->						str:
		'''simple docstring'''

		UpperCamelCase						=  _VERSION_REG.match(lowercase				)
		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(lowercase				) for v in [res.group('major'				), res.group('minor'				), res.group('patch'				)]				)


def    A (      lowercase				)     ->						int:
		'''simple docstring'''

		return ".".join(str(lowercase				) 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


_UpperCAmelCase      :				Tuple          = logging.get_logger(__name__)

_UpperCAmelCase      :				Union[str, Any]          = {
    "facebook/data2vec-text-base": "https://huggingface.co/data2vec/resolve/main/config.json",
}


class        lowercase      (	_SCREAMING_SNAKE_CASE     ):
		__lowercase : Dict			  =       "data2vec-text"



		def __init__(				self       ,   A_=30_522       ,   A_=768       ,   A_=12       ,   A_=12       ,   A_=3_072       ,   A_="gelu"       ,   A_=0.1       ,   A_=0.1       ,   A_=512       ,   A_=2       ,   A_=0.02       ,   A_=1e-12       ,   A_=1       ,   A_=0       ,   A_=2       ,   A_="absolute"       ,   A_=True       ,   A_=None       ,   **A_       ,   )						->      Any:
				"""simple docstring"""
				super().__init__(pad_token_id=A_       ,   bos_token_id=A_       ,   eos_token_id=A_       ,   **A_ )

				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        lowercase      (	_SCREAMING_SNAKE_CASE     ):



		@property
		def __UpperCamelCase				(				self )						->      Mapping[str, Mapping[int, str]]:
				"""simple docstring"""
				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),
				    ] )
