






from ...configuration_utils import PretrainedConfig


__magic_name__:					Tuple							=     {
    """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 	snake_case__ (							_lowerCAmelCase				):
	lowercase__						:					Any											=   "tapas"
	def __init__(    self      ,       lowerCAmelCase__=3_05_22      ,       lowerCAmelCase__=7_68      ,       lowerCAmelCase__=12      ,       lowerCAmelCase__=12      ,       lowerCAmelCase__=30_72      ,       lowerCAmelCase__="gelu"      ,       lowerCAmelCase__=0.1      ,       lowerCAmelCase__=0.1      ,       lowerCAmelCase__=10_24      ,       lowerCAmelCase__=[3, 2_56, 2_56, 2, 2_56, 2_56, 10]      ,       lowerCAmelCase__=0.0_2      ,       lowerCAmelCase__=1e-1_2      ,       lowerCAmelCase__=0      ,       lowerCAmelCase__=1_0.0      ,       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__      ,       )							->				Optional[int]:
							super().__init__(pad_token_id=lowerCAmelCase__      ,       **lowerCAmelCase__			)

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

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

							# Aggregation hyperparameters
							__magic_name__      :       Dict       						= aggregation_labels
							__magic_name__      :       Dict       						= no_aggregation_label_index

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














def    UpperCamelCase						(	_A = 1,   _A = 1000			):






						"""simple docstring"""







						__magic_name__      :       Optional[int]       						= 1
						__magic_name__      :       Dict       						= 0

						for divide_by_number in range(_A,   digit + 1			):
												__magic_name__      :       list[int]       						= []
												__magic_name__      :       Any       						= numerator
												for _ in range(1,   digit + 1			):
																		if now_divide in has_been_divided:
																								if longest_list_length < len(_A			):
																														__magic_name__      :       int       						= len(_A			)
																														__magic_name__      :       Dict       						= divide_by_number
																		else:
																								has_been_divided.append(_A			)
																								__magic_name__      :       Optional[int]       						= now_divide * 10 % divide_by_number

						return the_digit


# Tests
if __name__ == "__main__":
		import doctest

		doctest.testmod()
