






from ...configuration_utils import PretrainedConfig


UpperCAmelCase__				   =		{
    "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_					(	lowercase   ):






      '''simple docstring'''




      __snake_case       =  '''tapas'''







      def __init__(      self      :						Union[str, Any] ,					__UpperCAmelCase      :						Optional[Any]=30_522 ,					__UpperCAmelCase      :						Optional[Any]=768 ,					__UpperCAmelCase      :						List[str]=12 ,					__UpperCAmelCase      :						Dict=12 ,					__UpperCAmelCase      :						Dict=3_072 ,					__UpperCAmelCase      :						Optional[int]="gelu" ,					__UpperCAmelCase      :						List[Any]=0.1 ,					__UpperCAmelCase      :						Optional[Any]=0.1 ,					__UpperCAmelCase      :						Optional[int]=1_024 ,					__UpperCAmelCase      :						List[str]=[3, 256, 256, 2, 256, 256, 10] ,					__UpperCAmelCase      :						Union[str, Any]=0.02 ,					__UpperCAmelCase      :						List[str]=1e-1_2 ,					__UpperCAmelCase      :						List[str]=0 ,					__UpperCAmelCase      :						Optional[int]=10.0 ,					__UpperCAmelCase      :						List[Any]=0 ,					__UpperCAmelCase      :						Optional[int]=1.0 ,					__UpperCAmelCase      :						str=None ,					__UpperCAmelCase      :						Optional[int]=1.0 ,					__UpperCAmelCase      :						Optional[Any]=False ,					__UpperCAmelCase      :						Union[str, Any]=None ,					__UpperCAmelCase      :						List[str]=1.0 ,					__UpperCAmelCase      :						Dict=1.0 ,					__UpperCAmelCase      :						Optional[Any]=False ,					__UpperCAmelCase      :						Optional[Any]=False ,					__UpperCAmelCase      :						Union[str, Any]="ratio" ,					__UpperCAmelCase      :						List[Any]=None ,					__UpperCAmelCase      :						List[Any]=None ,					__UpperCAmelCase      :						Any=64 ,					__UpperCAmelCase      :						List[Any]=32 ,					__UpperCAmelCase      :						int=False ,					__UpperCAmelCase      :						Dict=True ,					__UpperCAmelCase      :						Tuple=False ,					__UpperCAmelCase      :						Any=False ,					__UpperCAmelCase      :						Union[str, Any]=True ,					__UpperCAmelCase      :						str=False ,					__UpperCAmelCase      :						int=None ,					__UpperCAmelCase      :						Dict=None ,					**__UpperCAmelCase      :						Union[str, Any] ,					)    ->Union[str, Any]:




       """simple docstring"""


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

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

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

       # Aggregation hyperparameters
       a		  =      aggregation_labels
       a		  =      no_aggregation_label_index

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




from __future__ import annotations

lowercase__		:Any   =    1.60_21E-19  # units = C



def        UpperCamelCase    (							lowerCAmelCase__ ,			lowerCAmelCase__ ,			lowerCAmelCase__ ,			):
					'''simple docstring'''
					if (conductivity, electron_conc, mobility).count(0		) != 1:
										raise ValueError('''You cannot supply more or less than 2 values'''		)
					elif conductivity < 0:
										raise ValueError('''Conductivity cannot be negative'''		)
					elif electron_conc < 0:
										raise ValueError('''Electron concentration cannot be negative'''		)
					elif mobility < 0:
										raise ValueError('''mobility cannot be negative'''		)
					elif conductivity == 0:
										return (
										    "conductivity",
										    mobility * electron_conc * ELECTRON_CHARGE,
										)
					elif electron_conc == 0:
										return (
										    "electron_conc",
										    conductivity / (mobility * ELECTRON_CHARGE),
										)
					else:
										return (
										    "mobility",
										    conductivity / (electron_conc * ELECTRON_CHARGE),
										)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




