

from ...configuration_utils import PretrainedConfig


snake_case_        =			{
    '''google/tapas-base-finetuned-sqa''': (
        '''https://huggingface.co/google/tapas-base-finetuned-sqa/resolve/main/config.json'''
    ),
    '''google/tapas-base-finetuned-wtq''': (
        '''https://huggingface.co/google/tapas-base-finetuned-wtq/resolve/main/config.json'''
    ),
    '''google/tapas-base-finetuned-wikisql-supervised''': (
        '''https://huggingface.co/google/tapas-base-finetuned-wikisql-supervised/resolve/main/config.json'''
    ),
    '''google/tapas-base-finetuned-tabfact''': (
        '''https://huggingface.co/google/tapas-base-finetuned-tabfact/resolve/main/config.json'''
    ),
}


class 				SCREAMING_SNAKE_CASE__ (_UpperCamelCase					):
    __lowerCamelCase						:	int														=					'tapas'





    def __init__(				self						,       a=3_0522						,       a=768						,       a=12						,       a=12						,       a=3072						,       a="gelu"						,       a=0.1						,       a=0.1						,       a=1024						,       a=[3, 256, 256, 2, 256, 256, 10]						,       a=0.02						,       a=1e-12						,       a=0						,       a=10.0						,       a=0						,       a=1.0						,       a=None						,       a=1.0						,       a=False						,       a=None						,       a=1.0						,       a=1.0						,       a=False						,       a=False						,       a="ratio"						,       a=None						,       a=None						,       a=64						,       a=32						,       a=False						,       a=True						,       a=False						,       a=False						,       a=True						,       a=False						,       a=None						,       a=None						,       **a						,       ):
         super().__init__(pad_token_id=_UpperCAmelCase						,       **_UpperCAmelCase)

         # BERT hyperparameters (with updated max_position_embeddings and type_vocab_sizes)
         lowercase__   :       List[str]				=	vocab_size
         lowercase__   :       int				=	hidden_size
         lowercase__   :       Optional[Any]				=	num_hidden_layers
         lowercase__   :       Optional[int]				=	num_attention_heads
         lowercase__   :       Optional[int]				=	hidden_act
         lowercase__   :       Dict				=	intermediate_size
         lowercase__   :       Optional[Any]				=	hidden_dropout_prob
         lowercase__   :       str				=	attention_probs_dropout_prob
         lowercase__   :       List[Any]				=	max_position_embeddings
         lowercase__   :       Tuple				=	type_vocab_sizes
         lowercase__   :       List[Any]				=	initializer_range
         lowercase__   :       Optional[Any]				=	layer_norm_eps

         # Fine-tuning task hyperparameters
         lowercase__   :       Tuple				=	positive_label_weight
         lowercase__   :       Optional[int]				=	num_aggregation_labels
         lowercase__   :       Tuple				=	aggregation_loss_weight
         lowercase__   :       Union[str, Any]				=	use_answer_as_supervision
         lowercase__   :       Union[str, Any]				=	answer_loss_importance
         lowercase__   :       Any				=	use_normalized_answer_loss
         lowercase__   :       Any				=	huber_loss_delta
         lowercase__   :       str				=	temperature
         lowercase__   :       Dict				=	aggregation_temperature
         lowercase__   :       List[str]				=	use_gumbel_for_cells
         lowercase__   :       Tuple				=	use_gumbel_for_aggregation
         lowercase__   :       Union[str, Any]				=	average_approximation_function
         lowercase__   :       Optional[int]				=	cell_selection_preference
         lowercase__   :       Optional[Any]				=	answer_loss_cutoff
         lowercase__   :       str				=	max_num_rows
         lowercase__   :       List[Any]				=	max_num_columns
         lowercase__   :       str				=	average_logits_per_cell
         lowercase__   :       Union[str, Any]				=	select_one_column
         lowercase__   :       Tuple				=	allow_empty_column_selection
         lowercase__   :       Dict				=	init_cell_selection_weights_to_zero
         lowercase__   :       Any				=	reset_position_index_per_cell
         lowercase__   :       Optional[Any]				=	disable_per_token_loss

         # Aggregation hyperparameters
         lowercase__   :       int				=	aggregation_labels
         lowercase__   :       Any				=	no_aggregation_label_index

         if isinstance(self.aggregation_labels						,       _UpperCAmelCase):
              lowercase__   :       str				=	{int(_UpperCAmelCase): v for k, v in aggregation_labels.items()}




def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   float      ):



     '''simple docstring'''





     if edge <= 0 or not isinstance(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      ):
          raise ValueError('Length must be a positive.'      )
     return 3 * ((25 + 10 * (5 ** (1 / 2))) ** (1 / 2)) * (edge**2)

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   float      ):



     '''simple docstring'''





     if edge <= 0 or not isinstance(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      ):
          raise ValueError('Length must be a positive.'      )
     return ((15 + (7 * (5 ** (1 / 2)))) / 4) * (edge**3)


if __name__ == "__main__":
       import doctest

       doctest.testmod()

