



"""simple docstring"""






from ...configuration_utils import PretrainedConfig


__snake_case				:  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      A__  (    __SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      'tapas'

	def __init__(	self:						str			,     _SCREAMING_SNAKE_CASE:						Union[str, Any]=3_0522			,     _SCREAMING_SNAKE_CASE:						Any=768			,     _SCREAMING_SNAKE_CASE:						List[str]=12			,     _SCREAMING_SNAKE_CASE:						Any=12			,     _SCREAMING_SNAKE_CASE:						Any=3072			,     _SCREAMING_SNAKE_CASE:						int="gelu"			,     _SCREAMING_SNAKE_CASE:						Optional[int]=0.1			,     _SCREAMING_SNAKE_CASE:						str=0.1			,     _SCREAMING_SNAKE_CASE:						List[str]=1024			,     _SCREAMING_SNAKE_CASE:						List[Any]=[3, 256, 256, 2, 256, 256, 10]			,     _SCREAMING_SNAKE_CASE:						List[Any]=0.02			,     _SCREAMING_SNAKE_CASE:						Any=1e-12			,     _SCREAMING_SNAKE_CASE:						Tuple=0			,     _SCREAMING_SNAKE_CASE:						Any=10.0			,     _SCREAMING_SNAKE_CASE:						Optional[Any]=0			,     _SCREAMING_SNAKE_CASE:						Dict=1.0			,     _SCREAMING_SNAKE_CASE:						Dict=None			,     _SCREAMING_SNAKE_CASE:						Tuple=1.0			,     _SCREAMING_SNAKE_CASE:						List[str]=False			,     _SCREAMING_SNAKE_CASE:						Optional[int]=None			,     _SCREAMING_SNAKE_CASE:						str=1.0			,     _SCREAMING_SNAKE_CASE:						List[Any]=1.0			,     _SCREAMING_SNAKE_CASE:						List[Any]=False			,     _SCREAMING_SNAKE_CASE:						List[str]=False			,     _SCREAMING_SNAKE_CASE:						Union[str, Any]="ratio"			,     _SCREAMING_SNAKE_CASE:						Union[str, Any]=None			,     _SCREAMING_SNAKE_CASE:						Any=None			,     _SCREAMING_SNAKE_CASE:						Union[str, Any]=64			,     _SCREAMING_SNAKE_CASE:						Optional[Any]=32			,     _SCREAMING_SNAKE_CASE:						str=False			,     _SCREAMING_SNAKE_CASE:						List[Any]=True			,     _SCREAMING_SNAKE_CASE:						Any=False			,     _SCREAMING_SNAKE_CASE:						Tuple=False			,     _SCREAMING_SNAKE_CASE:						str=True			,     _SCREAMING_SNAKE_CASE:						Union[str, Any]=False			,     _SCREAMING_SNAKE_CASE:						Dict=None			,     _SCREAMING_SNAKE_CASE:						Optional[Any]=None			,     **_SCREAMING_SNAKE_CASE:						Any			,     )							->			Any:

				"""simple docstring"""

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

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

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

				# Aggregation hyperparameters
				__lowerCAmelCase :    Dict				=			aggregation_labels
				__lowerCAmelCase :    str				=			no_aggregation_label_index

				if isinstance(self.aggregation_labels			,     _SCREAMING_SNAKE_CASE):
							__lowerCAmelCase :    List[Any]				=			{int(_SCREAMING_SNAKE_CASE): v for k, v in aggregation_labels.items()}




"""simple docstring"""






# Function to print upper half of diamond (pyramid)


def      _lowercase							(    __snake_case      )		->  Dict:
			for i in range(0   ,__snake_case      ):
						for _ in range(0   ,n - i - 1      ):  # printing spaces
									print(" "   ,end=""      )
						for _ in range(0   ,i + 1      ):  # printing stars
									print("* "   ,end=""      )
						print()


def      _lowercase							(    __snake_case      )		->  Tuple:
			for i in range(__snake_case   ,0   ,-1      ):
						for _ in range(__snake_case   ,0   ,-1      ):  # printing stars
									print("* "   ,end=""      )
						print()
						for _ in range(n - i + 1   ,0   ,-1      ):  # printing spaces
									print(" "   ,end=""      )


def      _lowercase							(    __snake_case      )		->  Any:
			if n <= 0:
						print("       ...       ....        nothing printing :("      )
						return
			floyd(__snake_case      )  # upper half
			reverse_floyd(__snake_case      )  # lower half


if __name__ == "__main__":
	print(R'| /\ | |- |  |-  |--| |\  /| |-')
	print(R'|/  \| |- |_ |_  |__| | \/ | |_')
	__snake_case				:  Tuple =       1
	while K:
		__snake_case				:  List[str] =       int(input('enter the number and , and see the magic : '))
		print()
		pretty_print(user_number)
		__snake_case				:  Optional[Any] =       int(input('press 0 to exit... and 1 to continue...'))

	print('Good Bye...')