


from __future__ import annotations

from queue import Queue







class  lowerCamelCase__  :





     def __init__(self			)	->  None:
      _lowercase				 ={}





     def 	__A   (self			)	->  None:
      for i in self.vertices:
       print(UpperCAmelCase						,	''' : '''						,	''' -> '''.join([str(UpperCAmelCase			) for j in self.vertices[i]]			)			)





     def 	__A   (self						,	UpperCAmelCase						,	UpperCAmelCase			)	->  None:
      if from_vertex in self.vertices:
       self.vertices[from_vertex].append(UpperCAmelCase			)
      else:
       _lowercase				 =[to_vertex]





     def 	__A   (self						,	UpperCAmelCase			)	->  set[int]:
      _lowercase				 =set()

      # create a first in first out queue to store all the vertices for BFS
      _lowercase				 =Queue()

      # mark the source node as visited and enqueue it
      visited.add(UpperCAmelCase			)
      queue.put(UpperCAmelCase			)

      while not queue.empty():
       _lowercase				 =queue.get()

       # loop through all adjacent vertex and enqueue it if not yet visited
       for adjacent_vertex in self.vertices[vertex]:
        if adjacent_vertex not in visited:
         queue.put(UpperCAmelCase			)
         visited.add(UpperCAmelCase			)
      return visited


if __name__ == "__main__":
  from doctest import testmod

  testmod(verbose=True)

  UpperCAmelCase__        =				Graph()
  g.add_edge(0, 1)
  g.add_edge(0, 2)
  g.add_edge(1, 2)
  g.add_edge(2, 0)
  g.add_edge(2, 3)
  g.add_edge(3, 3)

  g.print_graph()
  # 0  :  1 -> 2
  # 1  :  2
  # 2  :  0 -> 3
  # 3  :  3

  assert sorted(g.bfs(2)) == [0, 1, 2, 3]





from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase__        =				logging.get_logger(__name__)

UpperCAmelCase__        =				{
    '''google/rembert''': '''https://huggingface.co/google/rembert/resolve/main/config.json''',
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}







class  lowerCamelCase__  (			lowerCAmelCase):
     SCREAMING_SNAKE_CASE__      =     '''rembert'''





     def __init__(self						,	UpperCAmelCase=2_5_0_3_0_0						,	UpperCAmelCase=1_1_5_2						,	UpperCAmelCase=3_2						,	UpperCAmelCase=1_8						,	UpperCAmelCase=2_5_6						,	UpperCAmelCase=1_6_6_4						,	UpperCAmelCase=4_6_0_8						,	UpperCAmelCase="gelu"						,	UpperCAmelCase=0.0						,	UpperCAmelCase=0.0						,	UpperCAmelCase=0.1						,	UpperCAmelCase=5_1_2						,	UpperCAmelCase=2						,	UpperCAmelCase=0.02						,	UpperCAmelCase=1e-12						,	UpperCAmelCase=True						,	UpperCAmelCase=0						,	UpperCAmelCase=3_1_2						,	UpperCAmelCase=3_1_3						,	**UpperCAmelCase						,	)	->  Tuple:
      super().__init__(pad_token_id=UpperCAmelCase						,	bos_token_id=UpperCAmelCase						,	eos_token_id=UpperCAmelCase						,	**UpperCAmelCase			)

      _lowercase				 =vocab_size
      _lowercase				 =input_embedding_size
      _lowercase				 =output_embedding_size
      _lowercase				 =max_position_embeddings
      _lowercase				 =hidden_size
      _lowercase				 =num_hidden_layers
      _lowercase				 =num_attention_heads
      _lowercase				 =intermediate_size
      _lowercase				 =hidden_act
      _lowercase				 =hidden_dropout_prob
      _lowercase				 =attention_probs_dropout_prob
      _lowercase				 =classifier_dropout_prob
      _lowercase				 =initializer_range
      _lowercase				 =type_vocab_size
      _lowercase				 =layer_norm_eps
      _lowercase				 =use_cache
      _lowercase				 =False







class  lowerCamelCase__  (			lowerCAmelCase):





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





     @property
     def 	__A   (self			)	->  float:
      return 1e-4

