
"""simple docstring"""

from __future__ import annotations

from typing import Generic, TypeVar

SCREAMING_SNAKE_CASE_            =    TypeVar('''T''')
class   _UpperCAmelCase				(		Generic[T]				):




      def __init__(				self ,							lowercase_				)    ->       None:
          UpperCAmelCase          =       data
          UpperCAmelCase          =       self
          UpperCAmelCase          =       0

class   _UpperCAmelCase				(		Generic[T]				):




      def __init__(				self				)    ->       None:
          # map from node name to the node object
          UpperCAmelCase          =       {}




      def      a_   (				self ,							lowercase_				)    ->       None:
          # create a new set with x as its member
          UpperCAmelCase          =       DisjointSetTreeNode(lowercase_				)




      def      a_   (				self ,							lowercase_				)    ->       DisjointSetTreeNode[T]:
          # find the set x belongs to (with path-compression)
          UpperCAmelCase          =       self.map[data]
          if elem_ref != elem_ref.parent:
              UpperCAmelCase          =       self.find_set(elem_ref.parent.data				)
          return elem_ref.parent




      def      a_   (				self ,							lowercase_ ,							lowercase_				)    ->       None:
          # helper function for union operation
          if nodea.rank > nodea.rank:
              UpperCAmelCase          =       nodea
          else:
              UpperCAmelCase          =       nodea
              if nodea.rank == nodea.rank:
                  nodea.rank += 1




      def      a_   (				self ,							lowercase_ ,							lowercase_				)    ->       None:
          # merge 2 disjoint sets
          self.link(self.find_set(lowercase_				) ,							self.find_set(lowercase_				)				)

class   _UpperCAmelCase				(		Generic[T]				):




      def __init__(				self				)    ->       None:
          # connections: map from the node to the neighbouring nodes (with weights)
          UpperCAmelCase          =       {}




      def      a_   (				self ,							lowercase_				)    ->       None:
          # add a node ONLY if its not present in the graph
          if node not in self.connections:
              UpperCAmelCase          =       {}




      def      a_   (				self ,							lowercase_ ,							lowercase_ ,							lowercase_				)    ->       None:
          # add an edge with the given weight
          self.add_node(lowercase_				)
          self.add_node(lowercase_				)
          UpperCAmelCase          =       weight
          UpperCAmelCase          =       weight




      def      a_   (				self				)    ->       GraphUndirectedWeighted[T]:
          UpperCAmelCase          =       []
          UpperCAmelCase          =       set()
          for start in self.connections:
              for end in self.connections[start]:
                  if (start, end) not in seen:
                      seen.add((end, start)				)
                      edges.append((start, end, self.connections[start][end])				)
          edges.sort(key=lambda lowercase_				: x[2]				)

          # creating the disjoint set
          UpperCAmelCase          =       DisjointSetTree[T]()
          for node in self.connections:
              disjoint_set.make_set(lowercase_				)

          # MST generation
          UpperCAmelCase          =       0
          UpperCAmelCase          =       0
          UpperCAmelCase          =       GraphUndirectedWeighted[T]()
          while num_edges < len(self.connections				) - 1:
              UpperCAmelCase      ,				UpperCAmelCase      ,				UpperCAmelCase          =       edges[index]
              index += 1
              UpperCAmelCase          =       disjoint_set.find_set(lowercase_				)
              UpperCAmelCase          =       disjoint_set.find_set(lowercase_				)
              if parent_u != parent_v:
                  num_edges += 1
                  graph.add_edge(lowercase_ ,							lowercase_ ,							lowercase_				)
                  disjoint_set.union(lowercase_ ,							lowercase_				)
          return graph





"""simple docstring"""

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_            =    logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_            =    {
    '''kssteven/ibert-roberta-base''': '''https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json''',
    '''kssteven/ibert-roberta-large''': '''https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json''',
    '''kssteven/ibert-roberta-large-mnli''': (
        '''https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json'''
    ),
}
class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_				):
      __SCREAMING_SNAKE_CASE :				Tuple				   =						"ibert"




      def __init__(				self ,							lowercase_=3_0_5_2_2 ,							lowercase_=7_6_8 ,							lowercase_=1_2 ,							lowercase_=1_2 ,							lowercase_=3_0_7_2 ,							lowercase_="gelu" ,							lowercase_=0.1 ,							lowercase_=0.1 ,							lowercase_=5_1_2 ,							lowercase_=2 ,							lowercase_=0.0_2 ,							lowercase_=1E-12 ,							lowercase_=1 ,							lowercase_=0 ,							lowercase_=2 ,							lowercase_="absolute" ,							lowercase_=False ,							lowercase_="none" ,							**lowercase_ ,							)    ->       Optional[int]:
          super().__init__(pad_token_id=lowercase_ ,							bos_token_id=lowercase_ ,							eos_token_id=lowercase_ ,							**lowercase_				)

          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_size
          UpperCAmelCase          =       initializer_range
          UpperCAmelCase          =       layer_norm_eps
          UpperCAmelCase          =       position_embedding_type
          UpperCAmelCase          =       quant_mode
          UpperCAmelCase          =       force_dequant

class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_				):




      @property
      def      a_   (				self				)    ->       Mapping[str, Mapping[int, str]]:
          if self.task == "multiple-choice":
              UpperCAmelCase          =       {0: 'batch', 1: 'choice', 2: 'sequence'}
          else:
              UpperCAmelCase          =       {0: 'batch', 1: 'sequence'}
          return OrderedDict(
              [
                  ('input_ids', dynamic_axis),
                  ('attention_mask', dynamic_axis),
              ]				)



