
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

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


_a   :      Optional[int]       =				logging.get_logger(__name__)

_a   :      Any       =				{
    """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/config.json""",
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}






class   _UpperCAmelCase					(       _SCREAMING_SNAKE_CASE):
    __lowercase				:			int	=       """rembert"""
    def __init__(     self    ,     snake_case_=25_03_00    ,     snake_case_=11_52    ,     snake_case_=32    ,     snake_case_=18    ,     snake_case_=2_56    ,     snake_case_=16_64    ,     snake_case_=46_08    ,     snake_case_="gelu"    ,     snake_case_=0.0    ,     snake_case_=0.0    ,     snake_case_=0.1    ,     snake_case_=5_12    ,     snake_case_=2    ,     snake_case_=0.02    ,     snake_case_=1E-12    ,     snake_case_=True    ,     snake_case_=0    ,     snake_case_=3_12    ,     snake_case_=3_13    ,     **snake_case_    ,     ):
      super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE    ,     bos_token_id=_SCREAMING_SNAKE_CASE    ,     eos_token_id=_SCREAMING_SNAKE_CASE    ,     **_SCREAMING_SNAKE_CASE  )

      _snake_case  :    List[str]            = vocab_size
      _snake_case  :    str            = input_embedding_size
      _snake_case  :    Dict            = output_embedding_size
      _snake_case  :    str            = max_position_embeddings
      _snake_case  :    Tuple            = hidden_size
      _snake_case  :    Optional[int]            = num_hidden_layers
      _snake_case  :    Union[str, Any]            = num_attention_heads
      _snake_case  :    List[Any]            = intermediate_size
      _snake_case  :    Tuple            = hidden_act
      _snake_case  :    int            = hidden_dropout_prob
      _snake_case  :    int            = attention_probs_dropout_prob
      _snake_case  :    List[str]            = classifier_dropout_prob
      _snake_case  :    Optional[int]            = initializer_range
      _snake_case  :    int            = type_vocab_size
      _snake_case  :    Tuple            = layer_norm_eps
      _snake_case  :    Optional[int]            = use_cache
      _snake_case  :    List[Any]            = False






class   _UpperCAmelCase					(       _SCREAMING_SNAKE_CASE):
    @property
    def        lowerCamelCase__						(     self  ):
      if self.task == "multiple-choice":
        _snake_case  :    Union[str, Any]            = {0: "batch", 1: "choice", 2: "sequence"}
      else:
        _snake_case  :    Any            = {0: "batch", 1: "sequence"}
      return OrderedDict(
          [
              ("input_ids", dynamic_axis),
              ("attention_mask", dynamic_axis),
              ("token_type_ids", dynamic_axis),
          ]  )


    @property
    def        lowerCamelCase__						(     self  ):
      return 1E-4





import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional

from .logging import get_logger


_A							     =       set()
_A							     =       get_logger(__name__)

def 			__SCREAMING_SNAKE_CASE		(		UpperCamelCase		:      Optional[str] = None	)     ->	Optional[int]:



	"""simple docstring"""






	def decorator(UpperCamelCase		:      Callable	):
		global _emitted_deprecation_warnings

		if inspect.isclass(UpperCamelCase	):
			a_     			=   deprecated_class_or_function.__init__
			a_     			=   deprecated_class_or_function.__name__
		else:
			a_     			=   deprecated_class_or_function
			a_     			=   deprecated_function.__name__
			# Support deprecating __init__ class method: class name instead
			a_     			=   name if name != """__init__""" else deprecated_function.__qualname__.split("""."""	)[-2]

		a_     			=   (
		    F"""{name} is deprecated and will be removed in the next major version of datasets.""" + F""" {help_message}"""
		    if help_message
		    else """"""
		)

		@wraps(UpperCamelCase	)
		def wrapper(*UpperCamelCase		:      List[str]     ,					**UpperCamelCase		:      Union[str, Any]	):
			a_     			=   hash(UpperCamelCase	)
			if func_hash not in _emitted_deprecation_warnings:
				warnings.warn(UpperCamelCase     ,					category=UpperCamelCase     ,					stacklevel=2	)
				_emitted_deprecation_warnings.add(UpperCamelCase	)
			return deprecated_function(*UpperCamelCase     ,					**UpperCamelCase	)

		a_     			=   """deprecated"""

		if inspect.isclass(UpperCamelCase	):
			a_     			=   wrapper
			return deprecated_class_or_function
		else:
			return wrapper

	return decorator

class 			lowerCamelCase_					(    enum.EnumMeta    ):





							def __getattribute__(							cls			,       _SCREAMING_SNAKE_CASE    ):
								a_     			=   super().__getattribute__(_SCREAMING_SNAKE_CASE    )
								if isinstance(_SCREAMING_SNAKE_CASE			,       enum.Enum    ) and obj._on_access:
									obj._on_access()
								return obj





							def __getitem__(							cls			,       _SCREAMING_SNAKE_CASE    ):
								a_     			=   super().__getitem__(_SCREAMING_SNAKE_CASE    )
								if member._on_access:
									member._on_access()
								return member





							def __call__(							cls			,       _SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE=None			,       *, _SCREAMING_SNAKE_CASE=None			,       _SCREAMING_SNAKE_CASE=None			,       _SCREAMING_SNAKE_CASE=None			,       _SCREAMING_SNAKE_CASE=1    ):
								a_     			=   super().__call__(_SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE			,       module=_SCREAMING_SNAKE_CASE			,       qualname=_SCREAMING_SNAKE_CASE			,       type=_SCREAMING_SNAKE_CASE			,       start=_SCREAMING_SNAKE_CASE    )
								if isinstance(_SCREAMING_SNAKE_CASE			,       enum.Enum    ) and obj._on_access:
									obj._on_access()
								return obj







class 			lowerCamelCase_					(    enum.Enum   ,		metaclass=_SCREAMING_SNAKE_CASE    ):





							def __new__(							cls			,       _SCREAMING_SNAKE_CASE    ):
								a_     			=   object.__new__(cls    )
								a_     			=   value
								a_     			=   member.deprecate
								return member





							@property
							def   __magic_name__      (							self    ):
								return ""





							def   __magic_name__      (							self    ):
								a_     			=   f""" {self.help_message}""" if self.help_message else """"""
								warnings.warn(
								    f"""'{self.__objclass__.__name__}' is deprecated and will be removed in the next major version of datasets."""
								    + help_message			,       _SCREAMING_SNAKE_CASE			,       stacklevel=3			,       )