






'''simple docstring'''







from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

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


if TYPE_CHECKING:
       from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


__A      :       Dict      =	logging.get_logger(__name__)

__A      :       List[str]      =	{
    'microsoft/deberta-base': 'https://huggingface.co/microsoft/deberta-base/resolve/main/config.json',
    'microsoft/deberta-large': 'https://huggingface.co/microsoft/deberta-large/resolve/main/config.json',
    'microsoft/deberta-xlarge': 'https://huggingface.co/microsoft/deberta-xlarge/resolve/main/config.json',
    'microsoft/deberta-base-mnli': 'https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/config.json',
    'microsoft/deberta-large-mnli': 'https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/config.json',
    'microsoft/deberta-xlarge-mnli': 'https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/config.json',
}






class 					a__    (			lowerCamelCase						):
     '''simple docstring'''







     _snake_case             =  'deberta'






     def __init__(self    :	Optional[int]				,				lowercase__    :	List[str]=50265				,				lowercase__    :	Dict=768				,				lowercase__    :	Any=12				,				lowercase__    :	List[str]=12				,				lowercase__    :	List[str]=3072				,				lowercase__    :	Optional[Any]="gelu"				,				lowercase__    :	List[str]=0.1				,				lowercase__    :	str=0.1				,				lowercase__    :	Optional[Any]=512				,				lowercase__    :	Optional[int]=0				,				lowercase__    :	int=0.02				,				lowercase__    :	int=1e-7				,				lowercase__    :	List[str]=False				,				lowercase__    :	List[Any]=-1				,				lowercase__    :	Any=0				,				lowercase__    :	Optional[Any]=True				,				lowercase__    :	str=None				,				lowercase__    :	Any=0				,				lowercase__    :	Optional[int]="gelu"				,				**lowercase__    :	Optional[int]				,				)  ->       Union[str, Any]:
           super().__init__(**lowercase__					)

           __A		   =      hidden_size
           __A		   =      num_hidden_layers
           __A		   =      num_attention_heads
           __A		   =      intermediate_size
           __A		   =      hidden_act
           __A		   =      hidden_dropout_prob
           __A		   =      attention_probs_dropout_prob
           __A		   =      max_position_embeddings
           __A		   =      type_vocab_size
           __A		   =      initializer_range
           __A		   =      relative_attention
           __A		   =      max_relative_positions
           __A		   =      pad_token_id
           __A		   =      position_biased_input

           # Backwards compatibility
           if type(lowercase__					) == str:
                 __A		   =      [x.strip() for x in pos_att_type.lower().split("|"					)]

           __A		   =      pos_att_type
           __A		   =      vocab_size
           __A		   =      layer_norm_eps

           __A		   =      kwargs.get("pooler_hidden_size"				,				lowercase__					)
           __A		   =      pooler_dropout
           __A		   =      pooler_hidden_act







class 					a__    (			lowerCamelCase						):
     '''simple docstring'''







     @property
     def     _UpperCamelCase   (self    :	Union[str, Any]					)  ->       Mapping[str, Mapping[int, str]]:
           if self.task == "multiple-choice":
                 __A		   =      {0: "batch", 1: "choice", 2: "sequence"}
           else:
                 __A		   =      {0: "batch", 1: "sequence"}
           if self._config.type_vocab_size > 0:
                 return OrderedDict(
                     [("input_ids", dynamic_axis), ("attention_mask", dynamic_axis), ("token_type_ids", dynamic_axis)]					)
           else:
                 return OrderedDict([("input_ids", dynamic_axis), ("attention_mask", dynamic_axis)]					)






     @property
     def     _UpperCamelCase   (self    :	Dict					)  ->       int:
           return 12






     def     _UpperCamelCase   (self    :	Tuple				,				lowercase__    :	Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"]				,				lowercase__    :	int = -1				,				lowercase__    :	int = -1				,				lowercase__    :	int = -1				,				lowercase__    :	bool = False				,				lowercase__    :	Optional["TensorType"] = None				,				lowercase__    :	int = 3				,				lowercase__    :	int = 40				,				lowercase__    :	int = 40				,				lowercase__    :	"PreTrainedTokenizerBase" = None				,				)  ->       Mapping[str, Any]:
           __A		   =      super().generate_dummy_inputs(preprocessor=lowercase__				,				framework=lowercase__					)
           if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
                 del dummy_inputs["token_type_ids"]
           return dummy_inputs










'''simple docstring'''







from typing import List

import datasets
from datasets.tasks import ImageClassification

from ..folder_based_builder import folder_based_builder


__A      :       Tuple      =	datasets.utils.logging.get_logger(__name__)






class 					a__    (			folder_based_builder.FolderBasedBuilderConfig						):
     '''simple docstring'''







     _snake_case             =  None
     _snake_case             =  None







class 					a__    (			folder_based_builder.FolderBasedBuilder						):
     '''simple docstring'''







     _snake_case             =  datasets.Image()
     _snake_case             =  'image'
     _snake_case             =  ImageFolderConfig
     _snake_case             =  42  # definition at the bottom of the script
     _snake_case             =  ImageClassification(image_column='image' ,						label_column='label'						)







__A      :       Any      =	[
    '.blp',
    '.bmp',
    '.dib',
    '.bufr',
    '.cur',
    '.pcx',
    '.dcx',
    '.dds',
    '.ps',
    '.eps',
    '.fit',
    '.fits',
    '.fli',
    '.flc',
    '.ftc',
    '.ftu',
    '.gbr',
    '.gif',
    '.grib',
    '.h5',
    '.hdf',
    '.png',
    '.apng',
    '.jp2',
    '.j2k',
    '.jpc',
    '.jpf',
    '.jpx',
    '.j2c',
    '.icns',
    '.ico',
    '.im',
    '.iim',
    '.tif',
    '.tiff',
    '.jfif',
    '.jpe',
    '.jpg',
    '.jpeg',
    '.mpg',
    '.mpeg',
    '.msp',
    '.pcd',
    '.pxr',
    '.pbm',
    '.pgm',
    '.ppm',
    '.pnm',
    '.psd',
    '.bw',
    '.rgb',
    '.rgba',
    '.sgi',
    '.ras',
    '.tga',
    '.icb',
    '.vda',
    '.vst',
    '.webp',
    '.wmf',
    '.emf',
    '.xbm',
    '.xpm',
]
__A      :       List[Any]      =	IMAGE_EXTENSIONS


