





from ...configuration_utils import PretrainedConfig


_lowerCamelCase					:   str							=		{
    """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 						lowercase    (     UpperCamelCase_     ):
							lowercase__						:       List[str]								=							"""tapas"""




							def __init__(						self   :					Any	,							_UpperCamelCase   :					str=30_522	,							_UpperCamelCase   :					Optional[Any]=768	,							_UpperCamelCase   :					Optional[Any]=12	,							_UpperCamelCase   :					Tuple=12	,							_UpperCamelCase   :					Optional[Any]=3_072	,							_UpperCamelCase   :					Optional[Any]="gelu"	,							_UpperCamelCase   :					Optional[int]=0.1	,							_UpperCamelCase   :					Dict=0.1	,							_UpperCamelCase   :					Optional[Any]=1_024	,							_UpperCamelCase   :					Optional[Any]=[3, 256, 256, 2, 256, 256, 10]	,							_UpperCamelCase   :					List[Any]=0.0_2	,							_UpperCamelCase   :					Union[str, Any]=1e-12	,							_UpperCamelCase   :					List[Any]=0	,							_UpperCamelCase   :					Dict=10.0	,							_UpperCamelCase   :					Optional[int]=0	,							_UpperCamelCase   :					Dict=1.0	,							_UpperCamelCase   :					int=None	,							_UpperCamelCase   :					Dict=1.0	,							_UpperCamelCase   :					Dict=False	,							_UpperCamelCase   :					List[str]=None	,							_UpperCamelCase   :					List[Any]=1.0	,							_UpperCamelCase   :					Dict=1.0	,							_UpperCamelCase   :					str=False	,							_UpperCamelCase   :					Optional[Any]=False	,							_UpperCamelCase   :					List[str]="ratio"	,							_UpperCamelCase   :					List[Any]=None	,							_UpperCamelCase   :					str=None	,							_UpperCamelCase   :					Dict=64	,							_UpperCamelCase   :					int=32	,							_UpperCamelCase   :					int=False	,							_UpperCamelCase   :					Dict=True	,							_UpperCamelCase   :					List[str]=False	,							_UpperCamelCase   :					Dict=False	,							_UpperCamelCase   :					Dict=True	,							_UpperCamelCase   :					Dict=False	,							_UpperCamelCase   :					str=None	,							_UpperCamelCase   :					int=None	,							**_UpperCamelCase   :					int	,							)					->				Optional[int]:



												'''simple docstring'''

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

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

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

												# Aggregation hyperparameters
												SCREAMING_SNAKE_CASE    			=       aggregation_labels
												SCREAMING_SNAKE_CASE    			=       no_aggregation_label_index

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





def 	__lowerCamelCase							(UpperCAmelCase__     :							int  ):
					assert isinstance(UpperCAmelCase__      , UpperCAmelCase__  ), F"The input value of [n={number}] is not an integer"

					if number == 1:
										return 2
					elif number < 1:
										SCREAMING_SNAKE_CASE    			=       F"The input value of [n={number}] has to be > 0"
										raise ValueError(UpperCAmelCase__  )
					else:
										SCREAMING_SNAKE_CASE    			=       sylvester(number - 1  )
										SCREAMING_SNAKE_CASE    			=       num - 1
										SCREAMING_SNAKE_CASE    			=       num
										return lower * upper + 1


if __name__ == "__main__":
							print(f"""The 8th number in Sylvester's sequence: {sylvester(8)}""")




