# using dfs for finding eulerian path traversal






def      _UpperCamelCase      (	snake_case__,			snake_case__,			snake_case__,			snake_case__=None							)  ->      Optional[Any]:
							__UpperCAmelCase  :	str   			=      (path or []) + [u]
							for v in graph[u]:
														if visited_edge[u][v] is False:
																					__UpperCAmelCase			,		__UpperCAmelCase  :	Optional[Any]   			=      True, True
																					__UpperCAmelCase  :	Optional[Any]   			=      dfs(__lowerCAmelCase,			__lowerCAmelCase,			__lowerCAmelCase,			__lowerCAmelCase							)
							return path




def      _UpperCamelCase      (	snake_case__,			snake_case__							)  ->      List[Any]:
							__UpperCAmelCase  :	List[Any]   			=      0
							__UpperCAmelCase  :	Dict   			=      -1
							for i in range(__lowerCAmelCase							):
														if i not in graph.keys():
																					continue
														if len(graph[i]							) % 2 == 1:
																					odd_degree_nodes += 1
																					__UpperCAmelCase  :	Dict   			=      i
							if odd_degree_nodes == 0:
														return 1, odd_node
							if odd_degree_nodes == 2:
														return 2, odd_node
							return 3, odd_node




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




def      _UpperCamelCase      (	)  ->      List[Any]:
							__UpperCAmelCase  :	str   			=      {1: [2, 3, 4], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [4]}
							__UpperCAmelCase  :	Any   			=      {1: [2, 3, 4, 5], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [1, 4]}
							__UpperCAmelCase  :	Optional[Any]   			=      {1: [2, 3, 4], 2: [1, 3, 4], 3: [1, 2], 4: [1, 2, 5], 5: [4]}
							__UpperCAmelCase  :	Dict   			=      {1: [2, 3], 2: [1, 3], 3: [1, 2]}
							__UpperCAmelCase  :	int   			=      {
							    1: [],
							    2: []
							    # all degree is zero
							}
							__UpperCAmelCase  :	Dict   			=      10
							check_euler(__lowerCAmelCase,			__lowerCAmelCase							)
							check_euler(__lowerCAmelCase,			__lowerCAmelCase							)
							check_euler(__lowerCAmelCase,			__lowerCAmelCase							)
							check_euler(__lowerCAmelCase,			__lowerCAmelCase							)
							check_euler(__lowerCAmelCase,			__lowerCAmelCase							)


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


_a      	=  logging.get_logger(__name__)

_a      	=  {
    '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/config.json''',
    '''distilbert-base-uncased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/config.json''',
    '''distilbert-base-cased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-german-cased''': '''https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json''',
    '''distilbert-base-multilingual-cased''': (
        '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json'''
    ),
    '''distilbert-base-uncased-finetuned-sst-2-english''': (
        '''https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json'''
    ),
}





class __lowerCamelCase (      snake_case__):





	"""simple docstring"""






	UpperCamelCase__								=      "distilbert"
	UpperCamelCase__								=      {
	    "hidden_size": "dim",
	    "num_attention_heads": "n_heads",
	    "num_hidden_layers": "n_layers",
	}

	def __init__(							self       ,    UpperCAmelCase=3_0522       ,    UpperCAmelCase=512       ,    UpperCAmelCase=False       ,    UpperCAmelCase=6       ,    UpperCAmelCase=12       ,    UpperCAmelCase=768       ,    UpperCAmelCase=4 * 768       ,    UpperCAmelCase=0.1       ,    UpperCAmelCase=0.1       ,    UpperCAmelCase="gelu"       ,    UpperCAmelCase=0.02       ,    UpperCAmelCase=0.1       ,    UpperCAmelCase=0.2       ,    UpperCAmelCase=0       ,    **UpperCAmelCase       ,    ):
							"""simple docstring"""







							_UpperCAmelCase									=			vocab_size
							_UpperCAmelCase									=			max_position_embeddings
							_UpperCAmelCase									=			sinusoidal_pos_embds
							_UpperCAmelCase									=			n_layers
							_UpperCAmelCase									=			n_heads
							_UpperCAmelCase									=			dim
							_UpperCAmelCase									=			hidden_dim
							_UpperCAmelCase									=			dropout
							_UpperCAmelCase									=			attention_dropout
							_UpperCAmelCase									=			activation
							_UpperCAmelCase									=			initializer_range
							_UpperCAmelCase									=			qa_dropout
							_UpperCAmelCase									=			seq_classif_dropout
							super().__init__(**UpperCAmelCase       ,    pad_token_id=UpperCAmelCase    )





class __lowerCamelCase (      snake_case__):





	"""simple docstring"""






	@property
	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							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),
							    ]    )
