





# using dfs for finding eulerian path traversal







def 			A__							(    SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__=None)   ->    Union[str, Any]:
  __snake_case:						Optional[int]   =						(path or []) + [u]
  for v in graph[u]:
    if visited_edge[u][v] is False:
      __snake_case  ,   __snake_case:						Any   =						True, True
      __snake_case:						Optional[int]   =						dfs(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)
  return path







def 			A__							(    SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)   ->    Dict:
  __snake_case:						str   =						0
  __snake_case:						Optional[Any]   =						-1
  for i in range(SCREAMING_SNAKE_CASE__):
    if i not in graph.keys():
      continue
    if len(graph[i]) % 2 == 1:
      odd_degree_nodes += 1
      __snake_case:						str   =						i
  if odd_degree_nodes == 0:
    return 1, odd_node
  if odd_degree_nodes == 2:
    return 2, odd_node
  return 3, odd_node







def 			A__							(    SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)   ->    Union[str, Any]:
  __snake_case:						Optional[int]   =						[[False for _ in range(max_node + 1)] for _ in range(max_node + 1)]
  __snake_case  ,   __snake_case:						int   =						check_circuit_or_path(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)
  if check == 3:
    print("""graph is not Eulerian""")
    print("""no path""")
    return
  __snake_case:						Optional[Any]   =						1
  if check == 2:
    __snake_case:						Union[str, Any]   =						odd_node
    print("""graph has a Euler path""")
  if check == 1:
    print("""graph has a Euler cycle""")
  __snake_case:						Any   =						dfs(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)
  print(SCREAMING_SNAKE_CASE__)







def 			A__							(    )   ->    Optional[int]:
  __snake_case:						Optional[int]   =						{1: [2, 3, 4], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [4]}
  __snake_case:						Union[str, Any]   =						{1: [2, 3, 4, 5], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [1, 4]}
  __snake_case:						int   =						{1: [2, 3, 4], 2: [1, 3, 4], 3: [1, 2], 4: [1, 2, 5], 5: [4]}
  __snake_case:						Dict   =						{1: [2, 3], 2: [1, 3], 3: [1, 2]}
  __snake_case:						Dict   =						{
      1: [],
      2: []
      # all degree is zero
  }
  __snake_case:						Dict   =						10
  check_euler(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)
  check_euler(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)
  check_euler(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)
  check_euler(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)
  check_euler(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)


if __name__ == "__main__":
      main()













from collections import OrderedDict
from typing import Mapping

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


__UpperCAmelCase       :   Optional[int]				       =							logging.get_logger(__name__)

__UpperCAmelCase       :   Optional[int]				       =							{
    "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     __snake_case       (							__lowerCamelCase			):





       '''simple docstring'''







       lowerCAmelCase__      		=     """ibert"""




       def __init__(  self :    Dict							,				A :    Union[str, Any]=30_522							,				A :    List[Any]=768							,				A :    List[Any]=12							,				A :    Optional[int]=12							,				A :    Optional[Any]=3_072							,				A :    int="gelu"							,				A :    str=0.1							,				A :    List[Any]=0.1							,				A :    Optional[Any]=512							,				A :    int=2							,				A :    Union[str, Any]=0.02							,				A :    List[str]=1E-12							,				A :    Optional[int]=1							,				A :    Optional[int]=0							,				A :    List[str]=2							,				A :    str="absolute"							,				A :    Any=False							,				A :    Optional[Any]="none"							,				**A :    Any							,				):
         super().__init__(pad_token_id=A							,				bos_token_id=A							,				eos_token_id=A							,				**A		)

         __snake_case:						List[Any]   =						vocab_size
         __snake_case:						Optional[Any]   =						hidden_size
         __snake_case:						List[str]   =						num_hidden_layers
         __snake_case:						Tuple   =						num_attention_heads
         __snake_case:						List[str]   =						hidden_act
         __snake_case:						Optional[Any]   =						intermediate_size
         __snake_case:						Tuple   =						hidden_dropout_prob
         __snake_case:						List[str]   =						attention_probs_dropout_prob
         __snake_case:						Any   =						max_position_embeddings
         __snake_case:						int   =						type_vocab_size
         __snake_case:						List[str]   =						initializer_range
         __snake_case:						List[Any]   =						layer_norm_eps
         __snake_case:						Optional[int]   =						position_embedding_type
         __snake_case:						str   =						quant_mode
         __snake_case:						Optional[int]   =						force_dequant







class     __snake_case       (							__lowerCamelCase			):





       '''simple docstring'''







       @property
       def 							UpperCAmelCase__ (  self :    Tuple		):
         if self.task == "multiple-choice":
           __snake_case:						List[Any]   =						{0: """batch""", 1: """choice""", 2: """sequence"""}
         else:
           __snake_case:						List[str]   =						{0: """batch""", 1: """sequence"""}
         return OrderedDict(
             [
                 ("""input_ids""", dynamic_axis),
                 ("""attention_mask""", dynamic_axis),
             ]		)






