

"""simple docstring"""





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 					_lowerCAmelCase  (	lowercase   ):







 """simple docstring"""







 __UpperCAmelCase	:					Union[str, Any]   		=	"tapas"


 def __init__(			self							:			int,					UpperCAmelCase__							:			List[Any]=3_0_5_2_2,					UpperCAmelCase__							:			Any=7_6_8,					UpperCAmelCase__							:			Tuple=1_2,					UpperCAmelCase__							:			str=1_2,					UpperCAmelCase__							:			Union[str, Any]=3_0_7_2,					UpperCAmelCase__							:			Union[str, Any]="gelu",					UpperCAmelCase__							:			Dict=0.1,					UpperCAmelCase__							:			Union[str, Any]=0.1,					UpperCAmelCase__							:			Optional[int]=1_0_2_4,					UpperCAmelCase__							:			Optional[Any]=[3, 2_5_6, 2_5_6, 2, 2_5_6, 2_5_6, 1_0],					UpperCAmelCase__							:			Dict=0.02,					UpperCAmelCase__							:			str=1E-12,					UpperCAmelCase__							:			int=0,					UpperCAmelCase__							:			Optional[Any]=10.0,					UpperCAmelCase__							:			Union[str, Any]=0,					UpperCAmelCase__							:			Any=1.0,					UpperCAmelCase__							:			List[Any]=None,					UpperCAmelCase__							:			Any=1.0,					UpperCAmelCase__							:			Union[str, Any]=False,					UpperCAmelCase__							:			Union[str, Any]=None,					UpperCAmelCase__							:			Union[str, Any]=1.0,					UpperCAmelCase__							:			Optional[Any]=1.0,					UpperCAmelCase__							:			Optional[Any]=False,					UpperCAmelCase__							:			str=False,					UpperCAmelCase__							:			List[str]="ratio",					UpperCAmelCase__							:			Optional[Any]=None,					UpperCAmelCase__							:			Dict=None,					UpperCAmelCase__							:			Optional[Any]=6_4,					UpperCAmelCase__							:			Dict=3_2,					UpperCAmelCase__							:			Any=False,					UpperCAmelCase__							:			List[str]=True,					UpperCAmelCase__							:			Optional[Any]=False,					UpperCAmelCase__							:			Optional[Any]=False,					UpperCAmelCase__							:			Any=True,					UpperCAmelCase__							:			Union[str, Any]=False,					UpperCAmelCase__							:			str=None,					UpperCAmelCase__							:			int=None,					**UpperCAmelCase__							:			Optional[int],					):
    super().__init__(pad_token_id=UpperCAmelCase__,					**UpperCAmelCase__	)

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

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

    # Aggregation hyperparameters
    __lowercase								=						aggregation_labels
    __lowercase								=						no_aggregation_label_index

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







"""simple docstring"""





from __future__ import annotations

from typing import Any




class 					_lowerCAmelCase  :







 """simple docstring"""







 def __init__(			self							:			Any,					UpperCAmelCase__							:			int	):
    __lowercase								=						num_of_nodes
    __lowercase								=						[]
    __lowercase								=						{}


 def 					_lowercase (			self							:			Optional[Any],					UpperCAmelCase__							:			int,					UpperCAmelCase__							:			int,					UpperCAmelCase__							:			int	):
    self.m_edges.append([u_node, v_node, weight]	)


 def 					_lowercase (			self							:			Union[str, Any],					UpperCAmelCase__							:			int	):

    if self.m_component[u_node] == u_node:
       return u_node
    return self.find_component(self.m_component[u_node]	)


 def 					_lowercase (			self							:			List[Any],					UpperCAmelCase__							:			int	):

    if self.m_component[u_node] != u_node:
       for k in self.m_component:
          __lowercase								=						self.find_component(UpperCAmelCase__	)


 def 					_lowercase (			self							:			Union[str, Any],					UpperCAmelCase__							:			list[int],					UpperCAmelCase__							:			int,					UpperCAmelCase__							:			int	):

    if component_size[u_node] <= component_size[v_node]:
       __lowercase								=						v_node
       component_size[v_node] += component_size[u_node]
       self.set_component(UpperCAmelCase__	)

    elif component_size[u_node] >= component_size[v_node]:
       __lowercase								=						self.find_component(UpperCAmelCase__	)
       component_size[u_node] += component_size[v_node]
       self.set_component(UpperCAmelCase__	)



 def 					_lowercase (			self							:			Any	):
    __lowercase								=						[]
    __lowercase								=						0

    __lowercase								=						[-1] * self.m_num_of_nodes

    # A list of components (initialized to all of the nodes)
    for node in range(self.m_num_of_nodes	):
       self.m_component.update({node: node}	)
       component_size.append(1	)

    __lowercase								=						self.m_num_of_nodes

    while num_of_components > 1:
       for edge in self.m_edges:
          __lowercase		,__lowercase		,__lowercase								=						edge

          __lowercase								=						self.m_component[u]
          __lowercase								=						self.m_component[v]

          if u_component != v_component:

             for component in (u_component, v_component):
                if (
                    minimum_weight_edge[component] == -1
                    or minimum_weight_edge[component][2] > w
                ):
                   __lowercase								=						[u, v, w]

       for edge in minimum_weight_edge:
          if isinstance(UpperCAmelCase__,					UpperCAmelCase__	):
             __lowercase		,__lowercase		,__lowercase								=						edge

             __lowercase								=						self.m_component[u]
             __lowercase								=						self.m_component[v]

             if u_component != v_component:
                mst_weight += w
                self.union(UpperCAmelCase__,					UpperCAmelCase__,					UpperCAmelCase__	)
                print(F"""Added edge [{u} - {v}]\nAdded weight: {w}\n"""	)
                num_of_components -= 1

       __lowercase								=						[-1] * self.m_num_of_nodes
    print(F"""The total weight of the minimal spanning tree is: {mst_weight}"""	)







def   _A  (  )	->						None:
   '''simple docstring'''




if __name__ == "__main__":
   import doctest

   doctest.testmod()




