

from ...configuration_utils import PretrainedConfig


lowercase_									=   {
    """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  __lowerCAmelCase     (					lowercase_							):
  _a									=  '''tapas'''




  def __init__(				self							,   lowerCAmelCase=30_522							,   lowerCAmelCase=768							,   lowerCAmelCase=12							,   lowerCAmelCase=12							,   lowerCAmelCase=3_072							,   lowerCAmelCase="gelu"							,   lowerCAmelCase=0.1							,   lowerCAmelCase=0.1							,   lowerCAmelCase=1_024							,   lowerCAmelCase=[3, 256, 256, 2, 256, 256, 10]							,   lowerCAmelCase=0.02							,   lowerCAmelCase=1e-12							,   lowerCAmelCase=0							,   lowerCAmelCase=10.0							,   lowerCAmelCase=0							,   lowerCAmelCase=1.0							,   lowerCAmelCase=None							,   lowerCAmelCase=1.0							,   lowerCAmelCase=False							,   lowerCAmelCase=None							,   lowerCAmelCase=1.0							,   lowerCAmelCase=1.0							,   lowerCAmelCase=False							,   lowerCAmelCase=False							,   lowerCAmelCase="ratio"							,   lowerCAmelCase=None							,   lowerCAmelCase=None							,   lowerCAmelCase=64							,   lowerCAmelCase=32							,   lowerCAmelCase=False							,   lowerCAmelCase=True							,   lowerCAmelCase=False							,   lowerCAmelCase=False							,   lowerCAmelCase=True							,   lowerCAmelCase=False							,   lowerCAmelCase=None							,   lowerCAmelCase=None							,   **lowerCAmelCase							,   )  -> str:
        '''simple docstring'''






        super().__init__(pad_token_id=lowerCAmelCase							,   **lowerCAmelCase					)

        # BERT hyperparameters (with updated max_position_embeddings and type_vocab_sizes)
        _lowercase	       =vocab_size
        _lowercase	       =hidden_size
        _lowercase	       =num_hidden_layers
        _lowercase	       =num_attention_heads
        _lowercase	       =hidden_act
        _lowercase	       =intermediate_size
        _lowercase	       =hidden_dropout_prob
        _lowercase	       =attention_probs_dropout_prob
        _lowercase	       =max_position_embeddings
        _lowercase	       =type_vocab_sizes
        _lowercase	       =initializer_range
        _lowercase	       =layer_norm_eps

        # Fine-tuning task hyperparameters
        _lowercase	       =positive_label_weight
        _lowercase	       =num_aggregation_labels
        _lowercase	       =aggregation_loss_weight
        _lowercase	       =use_answer_as_supervision
        _lowercase	       =answer_loss_importance
        _lowercase	       =use_normalized_answer_loss
        _lowercase	       =huber_loss_delta
        _lowercase	       =temperature
        _lowercase	       =aggregation_temperature
        _lowercase	       =use_gumbel_for_cells
        _lowercase	       =use_gumbel_for_aggregation
        _lowercase	       =average_approximation_function
        _lowercase	       =cell_selection_preference
        _lowercase	       =answer_loss_cutoff
        _lowercase	       =max_num_rows
        _lowercase	       =max_num_columns
        _lowercase	       =average_logits_per_cell
        _lowercase	       =select_one_column
        _lowercase	       =allow_empty_column_selection
        _lowercase	       =init_cell_selection_weights_to_zero
        _lowercase	       =reset_position_index_per_cell
        _lowercase	       =disable_per_token_loss

        # Aggregation hyperparameters
        _lowercase	       =aggregation_labels
        _lowercase	       =no_aggregation_label_index

        if isinstance(self.aggregation_labels							,   lowerCAmelCase					):
              _lowercase	       ={int(lowerCAmelCase					): v for k, v in aggregation_labels.items()}





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






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





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






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


if __name__ == "__main__":
					import doctest

					doctest.testmod()




