

"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

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


SCREAMING_SNAKE_CASE_    :		Tuple							     =  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_    :		Tuple							     =  {
    'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json',
    'YituTech/conv-bert-medium-small': (
        'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json'
    ),
    'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json',
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}



class     a  (				_lowerCamelCase ):



    """simple docstring"""



    UpperCAmelCase         =    "convbert"

    def __init__(   self:       Optional[Any]			,  UpperCamelCase:       int=3_05_22			,  UpperCamelCase:       str=7_68			,  UpperCamelCase:       int=12			,  UpperCamelCase:       Union[str, Any]=12			,  UpperCamelCase:       Union[str, Any]=30_72			,  UpperCamelCase:       List[Any]="gelu"			,  UpperCamelCase:       List[Any]=0.1			,  UpperCamelCase:       int=0.1			,  UpperCamelCase:       int=5_12			,  UpperCamelCase:       Dict=2			,  UpperCamelCase:       Union[str, Any]=0.02			,  UpperCamelCase:       Dict=1e-1_2			,  UpperCamelCase:       List[str]=1			,  UpperCamelCase:       Tuple=0			,  UpperCamelCase:       str=2			,  UpperCamelCase:       Union[str, Any]=7_68			,  UpperCamelCase:       Optional[Any]=2			,  UpperCamelCase:       Dict=9			,  UpperCamelCase:       Union[str, Any]=1			,  UpperCamelCase:       Any=None			,  **UpperCamelCase:       Tuple			,  ):






         """simple docstring"""


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

         A__								=     vocab_size
         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__								=     layer_norm_eps
         A__								=     embedding_size
         A__								=     head_ratio
         A__								=     conv_kernel_size
         A__								=     num_groups
         A__								=     classifier_dropout



class     a  (				_lowerCamelCase ):



    """simple docstring"""



    @property
    def  UpperCamelCase		(   self:       Union[str, Any]				):






         """simple docstring"""


         if self.task == "multiple-choice":
              A__								=     {0: 'batch', 1: 'choice', 2: 'sequence'}
         else:
              A__								=     {0: 'batch', 1: 'sequence'}
         return OrderedDict(
             [
                 ("""input_ids""", dynamic_axis),
                 ("""attention_mask""", dynamic_axis),
                 ("""token_type_ids""", dynamic_axis),
             ]				)








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

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate







@dataclass(frozen=__magic_name__	)
class      A__							(     __magic_name__	):
				lowercase			    =  field(default='audio-classification'						,   metadata={'include_in_asdict_even_if_is_default': True}	)
				lowercase			    =  Features({'audio': Audio()}	)
				lowercase			    =  Features({'labels': ClassLabel}	)
				lowercase			    =  "audio"
				lowercase			    =  "labels"






				def 							_lowerCamelCase		(						self					:      Dict    ,     a					:      Tuple   ):






							'''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]    ,     a   ):
										raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''   )
							lowerCAmelCase__      :      Tuple         =		copy.deepcopy(self   )
							lowerCAmelCase__      :      List[Any]         =		self.label_schema.copy()
							lowerCAmelCase__      :      List[Any]         =		features[self.label_column]
							lowerCAmelCase__      :      Optional[int]         =		label_schema
							return task_template






				@property
				def 							_lowerCamelCase		(						self					:      List[str]   ):






							'''simple docstring'''







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