

from collections import OrderedDict
from typing import Mapping

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


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

A_ :				Tuple						 =    {
    'facebook/data2vec-text-base': 'https://huggingface.co/data2vec/resolve/main/config.json',
}



class 					_a		(_snake_case       ):


					'''simple docstring'''






					UpperCAmelCase__:     Optional[int]													= '''data2vec-text'''






					def __init__(				self					, A__=3_0522					, A__=768					, A__=12					, A__=12					, A__=3072					, A__="gelu"					, A__=0.1					, A__=0.1					, A__=512					, A__=2					, A__=0.0_2					, A__=1e-12					, A__=1					, A__=0					, A__=2					, A__="absolute"					, A__=True					, A__=None					, **A__					, ):
						super().__init__(pad_token_id=lowerCAmelCase__					, bos_token_id=lowerCAmelCase__					, eos_token_id=lowerCAmelCase__					, **lowerCAmelCase__    )

						A__							:					Optional[Any]       =	vocab_size
						A__							:					Dict       =	hidden_size
						A__							:					Union[str, Any]       =	num_hidden_layers
						A__							:					str       =	num_attention_heads
						A__							:					Tuple       =	hidden_act
						A__							:					List[str]       =	intermediate_size
						A__							:					List[str]       =	hidden_dropout_prob
						A__							:					Optional[Any]       =	attention_probs_dropout_prob
						A__							:					Dict       =	max_position_embeddings
						A__							:					List[Any]       =	type_vocab_size
						A__							:					Any       =	initializer_range
						A__							:					Dict       =	layer_norm_eps
						A__							:					List[Any]       =	position_embedding_type
						A__							:					str       =	use_cache
						A__							:					Any       =	classifier_dropout



class 					_a		(_snake_case       ):


					'''simple docstring'''






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






import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version

def 		UpperCamelCase      (*lowercase_:				Optional[int]					,   lowercase_:				Optional[Union[Dict, Any]] = None					,   lowercase_:				Dict=True					,   lowercase_:				Tuple=2      )  ->   Dict:
	from .. import __version__

	A__							:					Dict       =	take_from
	A__							:					str       =	()
	if not isinstance(args[0]					,   lowercase_      ):
		A__							:					int       =	(args,)

	for attribute, version_name, message in args:
		if version.parse(version.parse(lowercase_      ).base_version      ) >= version.parse(lowercase_      ):
			raise ValueError(
			    f"""The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers'"""
			    f""" version {__version__} is >= {version_name}"""      )

		A__							:					Any       =	None
		if isinstance(lowercase_					,   lowercase_      ) and attribute in deprecated_kwargs:
			values += (deprecated_kwargs.pop(lowercase_      ),)
			A__							:					List[str]       =	f"""The `{attribute}` argument is deprecated and will be removed in version {version_name}."""
		elif hasattr(lowercase_					,   lowercase_      ):
			values += (getattr(lowercase_					,   lowercase_      ),)
			A__							:					Optional[Any]       =	f"""The `{attribute}` attribute is deprecated and will be removed in version {version_name}."""
		elif deprecated_kwargs is None:
			A__							:					int       =	f"""`{attribute}` is deprecated and will be removed in version {version_name}."""

		if warning is not None:
			A__							:					int       =	warning + """ """ if standard_warn else """"""
			warnings.warn(warning + message					,   lowercase_					,   stacklevel=lowercase_      )

	if isinstance(lowercase_					,   lowercase_      ) and len(lowercase_      ) > 0:
		A__							:					Union[str, Any]       =	inspect.getouterframes(inspect.currentframe()      )[1]
		A__							:					Optional[Any]       =	call_frame.filename
		A__							:					Optional[int]       =	call_frame.lineno
		A__							:					Any       =	call_frame.function
		A__     ,     A__							:					List[str]       =	next(iter(deprecated_kwargs.items()      )      )
		raise TypeError(f"""{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`"""      )

	if len(lowercase_      ) == 0:
		return
	elif len(lowercase_      ) == 1:
		return values[0]
	return values



