




"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase							:    str  							=							logging.get_logger(__name__)

lowerCAmelCase							:    List[Any]  							=							{
    """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/config.json""",
    """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/config.json""",
    """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/config.json""",
    """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/config.json""",
    """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json""",
    """roberta-large-openai-detector""": """https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json""",
}






class 					__magic_name__							( __UpperCAmelCase       ):






				'''simple docstring'''
				__UpperCamelCase    						=		"roberta"





				def __init__( self	,				_a=50_265	,				_a=768	,				_a=12	,				_a=12	,				_a=3_072	,				_a="gelu"	,				_a=0.1	,				_a=0.1	,				_a=512	,				_a=2	,				_a=0.02	,				_a=1e-1_2	,				_a=1	,				_a=0	,				_a=2	,				_a="absolute"	,				_a=True	,				_a=None	,				**_a	,				):





							"""simple docstring"""
							super().__init__(pad_token_id=_a	,				bos_token_id=_a	,				eos_token_id=_a	,				**_a				)

							lowerCamelCase       =      vocab_size
							lowerCamelCase       =      hidden_size
							lowerCamelCase       =      num_hidden_layers
							lowerCamelCase       =      num_attention_heads
							lowerCamelCase       =      hidden_act
							lowerCamelCase       =      intermediate_size
							lowerCamelCase       =      hidden_dropout_prob
							lowerCamelCase       =      attention_probs_dropout_prob
							lowerCamelCase       =      max_position_embeddings
							lowerCamelCase       =      type_vocab_size
							lowerCamelCase       =      initializer_range
							lowerCamelCase       =      layer_norm_eps
							lowerCamelCase       =      position_embedding_type
							lowerCamelCase       =      use_cache
							lowerCamelCase       =      classifier_dropout






class 					__magic_name__							( __UpperCAmelCase       ):






				'''simple docstring'''





				@property
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""

							if self.task == "multiple-choice":
										lowerCamelCase       =      {0: """batch""", 1: """choice""", 2: """sequence"""}
							else:
										lowerCamelCase       =      {0: """batch""", 1: """sequence"""}
							return OrderedDict(
							    [
							        ("""input_ids""", dynamic_axis),
							        ("""attention_mask""", dynamic_axis),
							    ]				)









"""simple docstring"""




# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.



def 					a__				(       snake_case__       )		->      Dict:
			lowerCamelCase       =      [False] * len(snake_case__       )
			lowerCamelCase       =      [-1] * len(snake_case__       )

			def dfs(snake_case__ ,				snake_case__       ):
						lowerCamelCase       =      True
						lowerCamelCase       =      c
						for u in graph[v]:
									if not visited[u]:
												dfs(snake_case__ ,				1 - c       )

			for i in range(len(snake_case__       )       ):
						if not visited[i]:
									dfs(snake_case__ ,				0       )

			for i in range(len(snake_case__       )       ):
						for j in graph[i]:
									if color[i] == color[j]:
												return False

			return True


# Adjacency list of graph
lowerCAmelCase							:    str  							=							{0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}


print(check_bipartite_dfs(graph))



