



"""simple docstring"""







import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format='%(asctime)s - %(levelname)s - %(name)s - %(message)s', datefmt='%m/%d/%Y %H:%M:%S', level=logging.INFO
)
lowerCAmelCase_   						=   logging.getLogger(__name__)

if __name__ == "__main__":
							lowerCAmelCase_   						=   argparse.ArgumentParser(
							    description='Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)'
							)
							parser.add_argument(
							    '--data_file', type=str, default='data/dump.bert-base-uncased.pickle', help='The binarized dataset.'
							)
							parser.add_argument(
							    '--token_counts_dump', type=str, default='data/token_counts.bert-base-uncased.pickle', help='The dump file.'
							)
							parser.add_argument('--vocab_size', default=30_522, type=int)
							lowerCAmelCase_   						=   parser.parse_args()

							logger.info(F'''Loading data from {args.data_file}''')
							with open(args.data_file, 'rb') as fp:
														lowerCAmelCase_   						=   pickle.load(fp)

							logger.info('Counting occurrences for MLM.')
							lowerCAmelCase_   						=   Counter()
							for tk_ids in data:
														counter.update(tk_ids)
							lowerCAmelCase_   						=   [0] * args.vocab_size
							for k, v in counter.items():
														lowerCAmelCase_   						=   v

							logger.info(F'''Dump to {args.token_counts_dump}''')
							with open(args.token_counts_dump, 'wb') as handle:
														pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)





"""simple docstring"""







from ...configuration_utils import PretrainedConfig


lowerCAmelCase_   						=   {
    '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       (	A_    ):







		'''simple docstring'''





		lowerCAmelCase			:					str   	=				"tapas"







		def __init__(	self						:  List[Any]			,_snake_case						:  Dict=30_522			,_snake_case						:  Union[str, Any]=768			,_snake_case						:  int=12			,_snake_case						:  Union[str, Any]=12			,_snake_case						:  Union[str, Any]=3_072			,_snake_case						:  List[Any]="gelu"			,_snake_case						:  Optional[int]=0.1			,_snake_case						:  Tuple=0.1			,_snake_case						:  List[Any]=1_024			,_snake_case						:  Any=[3, 256, 256, 2, 256, 256, 10]			,_snake_case						:  List[Any]=0.02			,_snake_case						:  Union[str, Any]=1e-12			,_snake_case						:  str=0			,_snake_case						:  Any=10.0			,_snake_case						:  int=0			,_snake_case						:  Optional[Any]=1.0			,_snake_case						:  List[str]=None			,_snake_case						:  Tuple=1.0			,_snake_case						:  Tuple=False			,_snake_case						:  List[Any]=None			,_snake_case						:  int=1.0			,_snake_case						:  List[Any]=1.0			,_snake_case						:  Optional[int]=False			,_snake_case						:  Optional[int]=False			,_snake_case						:  Optional[int]="ratio"			,_snake_case						:  Any=None			,_snake_case						:  Union[str, Any]=None			,_snake_case						:  List[str]=64			,_snake_case						:  Optional[Any]=32			,_snake_case						:  Optional[Any]=False			,_snake_case						:  Optional[int]=True			,_snake_case						:  Dict=False			,_snake_case						:  Tuple=False			,_snake_case						:  int=True			,_snake_case						:  List[str]=False			,_snake_case						:  Dict=None			,_snake_case						:  Optional[int]=None			,**_snake_case						:  int			,)					->		List[Any]:






				"""simple docstring"""



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

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

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

				# Aggregation hyperparameters
				lowercase__   :    Optional[Any]				=			aggregation_labels
				lowercase__   :    List[Any]				=			no_aggregation_label_index

				if isinstance(self.aggregation_labels			,_snake_case						):
						lowercase__   :    Union[str, Any]				=			{int(_snake_case						): v for k, v in aggregation_labels.items()}
