






'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

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


lowerCamelCase_				: Dict    	=							logging.get_logger(__name__)

lowerCamelCase_				: Union[str, Any]    	=							{
    'kssteven/ibert-roberta-base': 'https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json',
    'kssteven/ibert-roberta-large': 'https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json',
    'kssteven/ibert-roberta-large-mnli': (
        'https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json'
    ),
}
class    _SCREAMING_SNAKE_CASE							(		__lowercase	):


			'''simple docstring'''





			__a							:							Optional[int]					     =					"ibert"






			def __init__(   self							:						Dict ,      lowercase							:						Union[str, Any]=3_0_5_2_2 ,      lowercase							:						Tuple=7_6_8 ,      lowercase							:						Optional[int]=1_2 ,      lowercase							:						Any=1_2 ,      lowercase							:						int=3_0_7_2 ,      lowercase							:						Tuple="gelu" ,      lowercase							:						Any=0.1 ,      lowercase							:						List[str]=0.1 ,      lowercase							:						Any=5_1_2 ,      lowercase							:						Any=2 ,      lowercase							:						List[str]=0.0_2 ,      lowercase							:						List[str]=1e-12 ,      lowercase							:						Union[str, Any]=1 ,      lowercase							:						Any=0 ,      lowercase							:						Any=2 ,      lowercase							:						Tuple="absolute" ,      lowercase							:						int=False ,      lowercase							:						Optional[int]="none" ,      **lowercase							:						Any ,      )							->    Any:

									'''simple docstring'''







									super().__init__(pad_token_id=lowercase ,      bos_token_id=lowercase ,      eos_token_id=lowercase ,      **lowercase			)

									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__         = quant_mode
									UpperCamelCase__         = force_dequant
class    _SCREAMING_SNAKE_CASE							(		__lowercase	):


			'''simple docstring'''





			@property
			def 				A      (   self							:						Optional[Any]			)							->    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),
									    ]			)














'''simple docstring'''


import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate
@dataclass(frozen=SCREAMING_SNAKE_CASE	)
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			__a							:							str					     =					field(default="audio-classification"       ,metadata={"include_in_asdict_even_if_is_default": True}	)
			__a							:							ClassVar[Features]					     =					Features({"audio": Audio()}	)
			__a							:							ClassVar[Features]					     =					Features({"labels": ClassLabel}	)
			__a							:							str					     =					"audio"
			__a							:							str					     =					"labels"






			def 				A      (   self							:						List[Any] ,      lowercase							:						List[Any]			)							->    Any:

									'''simple docstring'''







									if self.label_column not in features:
															raise ValueError(f"Column {self.label_column} is not present in features."			)
									if not isinstance(features[self.label_column] ,      lowercase			):
															raise ValueError(f"Column {self.label_column} is not a ClassLabel."			)
									UpperCamelCase__         = copy.deepcopy(self			)
									UpperCamelCase__         = self.label_schema.copy()
									UpperCamelCase__         = features[self.label_column]
									UpperCamelCase__         = label_schema
									return task_template







			@property
			def 				A      (   self							:						int			)							->    Dict[str, str]:

									'''simple docstring'''







									return {
									    self.audio_column: "audio",
									    self.label_column: "labels",
									}
