

'''simple docstring'''




from ...configuration_utils import PretrainedConfig


_a					:			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 							lowercase_						(		a			):

  '''simple docstring'''





  __lowerCAmelCase       :			str     	= "tapas"
  def __init__(  self ,			a_=3_0_5_2_2 ,			a_=7_6_8 ,			a_=1_2 ,			a_=1_2 ,			a_=3_0_7_2 ,			a_="gelu" ,			a_=0.1 ,			a_=0.1 ,			a_=1_0_2_4 ,			a_=[3, 2_5_6, 2_5_6, 2, 2_5_6, 2_5_6, 1_0] ,			a_=0.02 ,			a_=1E-12 ,			a_=0 ,			a_=10.0 ,			a_=0 ,			a_=1.0 ,			a_=None ,			a_=1.0 ,			a_=False ,			a_=None ,			a_=1.0 ,			a_=1.0 ,			a_=False ,			a_=False ,			a_="ratio" ,			a_=None ,			a_=None ,			a_=6_4 ,			a_=3_2 ,			a_=False ,			a_=True ,			a_=False ,			a_=False ,			a_=True ,			a_=False ,			a_=None ,			a_=None ,			**a_ ,			)				->					Union[str, Any]:


    """simple docstring"""
    super().__init__(pad_token_id=a_ ,			**a_  )

    # 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 ,			a_  ):
      UpperCAmelCase    				=						{int(a_  ): v for k, v in aggregation_labels.items()}





'''simple docstring'''




def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : List[Any]							, SCREAMING_SNAKE_CASE   : Union[str, Any]    ):
  # "extended trapezoidal rule"
  # int(f) = dx/2 * (f1 + 2f2 + ... + fn)
  UpperCAmelCase    				=						(boundary[1] - boundary[0]) / steps
  UpperCAmelCase    				=						boundary[0]
  UpperCAmelCase    				=						boundary[1]
  UpperCAmelCase    				=						make_points(SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE    )
  UpperCAmelCase    				=						0.0
  y += (h / 2.0) * f(SCREAMING_SNAKE_CASE    )
  for i in x_i:
    # print(i)
    y += h * f(SCREAMING_SNAKE_CASE    )
  y += (h / 2.0) * f(SCREAMING_SNAKE_CASE    )
  return y


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : Tuple							, SCREAMING_SNAKE_CASE   : Dict							, SCREAMING_SNAKE_CASE   : Tuple    ):
  UpperCAmelCase    				=						a + h
  while x < (b - h):
    yield x
    UpperCAmelCase    				=						x + h


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : Optional[Any]    ):  # enter your function here
  UpperCAmelCase    				=						(x - 0) * (x - 0)
  return y


def    lowerCamelCase__		(    ):
  UpperCAmelCase    				=						0.0  # Lower bound of integration
  UpperCAmelCase    				=						1.0  # Upper bound of integration
  UpperCAmelCase    				=						10.0  # define number of steps or resolution
  UpperCAmelCase    				=						[a, b]  # define boundary of integration
  UpperCAmelCase    				=						method_a(SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE    )
  print(f'''y = {y}'''    )


if __name__ == "__main__":
  main()


