


from ...configuration_utils import PretrainedConfig


__a     =			{
    """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				(  __snake_case  ):
      UpperCamelCase								=       '''tapas'''





      def __init__(		self						:					str					,       __lowerCamelCase						:					Optional[Any]=3_0_5_2_2					,       __lowerCamelCase						:					Dict=7_6_8					,       __lowerCamelCase						:					List[Any]=1_2					,       __lowerCamelCase						:					Optional[int]=1_2					,       __lowerCamelCase						:					str=3_0_7_2					,       __lowerCamelCase						:					int="gelu"					,       __lowerCamelCase						:					Any=0.1					,       __lowerCamelCase						:					int=0.1					,       __lowerCamelCase						:					List[Any]=1_0_2_4					,       __lowerCamelCase						:					Dict=[3, 2_5_6, 2_5_6, 2, 2_5_6, 2_5_6, 1_0]					,       __lowerCamelCase						:					Dict=0.02					,       __lowerCamelCase						:					Union[str, Any]=1e-1_2					,       __lowerCamelCase						:					Union[str, Any]=0					,       __lowerCamelCase						:					int=10.0					,       __lowerCamelCase						:					Optional[int]=0					,       __lowerCamelCase						:					List[Any]=1.0					,       __lowerCamelCase						:					Tuple=None					,       __lowerCamelCase						:					Any=1.0					,       __lowerCamelCase						:					str=False					,       __lowerCamelCase						:					Dict=None					,       __lowerCamelCase						:					Any=1.0					,       __lowerCamelCase						:					Tuple=1.0					,       __lowerCamelCase						:					Any=False					,       __lowerCamelCase						:					List[str]=False					,       __lowerCamelCase						:					List[str]="ratio"					,       __lowerCamelCase						:					Tuple=None					,       __lowerCamelCase						:					List[Any]=None					,       __lowerCamelCase						:					str=6_4					,       __lowerCamelCase						:					List[Any]=3_2					,       __lowerCamelCase						:					str=False					,       __lowerCamelCase						:					Dict=True					,       __lowerCamelCase						:					int=False					,       __lowerCamelCase						:					Optional[int]=False					,       __lowerCamelCase						:					int=True					,       __lowerCamelCase						:					Optional[int]=False					,       __lowerCamelCase						:					Optional[int]=None					,       __lowerCamelCase						:					Tuple=None					,       **__lowerCamelCase						:					Any					,       )    ->   str:






         """simple docstring"""







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

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

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

         # Aggregation hyperparameters
         UpperCAmelCase							=     aggregation_labels
         UpperCAmelCase							=     no_aggregation_label_index

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







from __future__ import annotations

from collections.abc import Sequence
from typing import Literal
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->str | Literal[False]:
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     0
   for i in range(len(lowerCAmelCase_   )   ):
      if lista[i] != lista[i]:
         count += 1
         UpperCAmelCase							=     """_"""
   if count > 1:
      return False
   else:
      return "".join(lowerCAmelCase_   )
def   _UpperCamelCase				(						lowerCAmelCase_   )						->list[str]:
   UpperCAmelCase							=     []
   while True:
      UpperCAmelCase							=     ["""$"""] * len(lowerCAmelCase_   )
      UpperCAmelCase							=     []
      for i in range(len(lowerCAmelCase_   )   ):
         for j in range(i + 1  ,						len(lowerCAmelCase_   )   ):
            UpperCAmelCase							=     compare_string(binary[i]  ,						binary[j]   )
            if k is False:
               UpperCAmelCase							=     """*"""
               UpperCAmelCase							=     """*"""
               temp.append("""X"""   )
      for i in range(len(lowerCAmelCase_   )   ):
         if checka[i] == "$":
            pi.append(binary[i]   )
      if len(lowerCAmelCase_   ) == 0:
         return pi
      UpperCAmelCase							=     list(set(lowerCAmelCase_   )   )
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->list[str]:
   UpperCAmelCase							=     []
   for minterm in minterms:
      UpperCAmelCase							=     """"""
      for _ in range(lowerCAmelCase_   ):
         UpperCAmelCase							=     str(minterm % 2   ) + string
         minterm //= 2
      temp.append(lowerCAmelCase_   )
   return temp
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_   )						->bool:
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     0
   for i in range(len(lowerCAmelCase_   )   ):
      if lista[i] != lista[i]:
         count_n += 1
   return count_n == count
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->list[str]:
   UpperCAmelCase							=     []
   UpperCAmelCase							=     [0] * len(lowerCAmelCase_   )
   for i in range(len(chart[0]   )   ):
      UpperCAmelCase							=     0
      UpperCAmelCase							=     -1
      for j in range(len(lowerCAmelCase_   )   ):
         if chart[j][i] == 1:
            count += 1
            UpperCAmelCase							=     j
      if count == 1:
         UpperCAmelCase							=     1
   for i in range(len(lowerCAmelCase_   )   ):
      if select[i] == 1:
         for j in range(len(chart[0]   )   ):
            if chart[i][j] == 1:
               for k in range(len(lowerCAmelCase_   )   ):
                  UpperCAmelCase							=     0
         temp.append(prime_implicants[i]   )
   while True:
      UpperCAmelCase							=     0
      UpperCAmelCase							=     -1
      UpperCAmelCase							=     0
      for i in range(len(lowerCAmelCase_   )   ):
         UpperCAmelCase							=     chart[i].count(1   )
         if count_n > max_n:
            UpperCAmelCase							=     count_n
            UpperCAmelCase							=     i

      if max_n == 0:
         return temp

      temp.append(prime_implicants[rem]   )

      for i in range(len(chart[0]   )   ):
         if chart[rem][i] == 1:
            for j in range(len(lowerCAmelCase_   )   ):
               UpperCAmelCase							=     0
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->list[list[int]]:
   UpperCAmelCase							=     [[0 for x in range(len(lowerCAmelCase_   )   )] for x in range(len(lowerCAmelCase_   )   )]
   for i in range(len(lowerCAmelCase_   )   ):
      UpperCAmelCase							=     prime_implicants[i].count("""_"""   )
      for j in range(len(lowerCAmelCase_   )   ):
         if is_for_table(prime_implicants[i]  ,						binary[j]  ,						lowerCAmelCase_   ):
            UpperCAmelCase							=     1

   return chart
def   _UpperCamelCase				(						)						->None:
   UpperCAmelCase							=     int(input("""Enter the no. of variables\n"""   )   )
   UpperCAmelCase							=     [
       float(lowerCAmelCase_   )
       for x in input(
           """Enter the decimal representation of Minterms 'Spaces Separated'\n"""   ).split()
   ]
   UpperCAmelCase							=     decimal_to_binary(lowerCAmelCase_  ,						lowerCAmelCase_   )

   UpperCAmelCase							=     check(lowerCAmelCase_   )
   print("""Prime Implicants are:"""   )
   print(lowerCAmelCase_   )
   UpperCAmelCase							=     prime_implicant_chart(lowerCAmelCase_  ,						lowerCAmelCase_   )

   UpperCAmelCase							=     selection(lowerCAmelCase_  ,						lowerCAmelCase_   )
   print("""Essential Prime Implicants are:"""   )
   print(lowerCAmelCase_   )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()



