





"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


_snake_case     :		Any       						= logging.get_logger(__name__)

_snake_case     :		List[str]       						= {
    'facebook/dpr-ctx_encoder-single-nq-base': (
        'https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json'
    ),
    'facebook/dpr-question_encoder-single-nq-base': (
        'https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json'
    ),
    'facebook/dpr-reader-single-nq-base': (
        'https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json'
    ),
    'facebook/dpr-ctx_encoder-multiset-base': (
        'https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json'
    ),
    'facebook/dpr-question_encoder-multiset-base': (
        'https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json'
    ),
    'facebook/dpr-reader-multiset-base': (
        'https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json'
    ),
}






class 					_UpperCAmelCase   (	lowercase_ ):
					UpperCamelCase      =							'''dpr'''


					def __init__(					self			:List[str]     ,       __UpperCamelCase			:List[str]=3_05_22     ,       __UpperCamelCase			:Tuple=7_68     ,       __UpperCamelCase			:Any=12     ,       __UpperCamelCase			:Dict=12     ,       __UpperCamelCase			:Any=30_72     ,       __UpperCamelCase			:Dict="gelu"     ,       __UpperCamelCase			:List[str]=0.1     ,       __UpperCamelCase			:Any=0.1     ,       __UpperCamelCase			:Union[str, Any]=5_12     ,       __UpperCamelCase			:Dict=2     ,       __UpperCamelCase			:Union[str, Any]=0.02     ,       __UpperCamelCase			:int=1e-12     ,       __UpperCamelCase			:Dict=0     ,       __UpperCamelCase			:Union[str, Any]="absolute"     ,       __UpperCamelCase			:int = 0     ,       **__UpperCamelCase			:Dict     ,       ):
												super().__init__(pad_token_id=__UpperCamelCase     ,       **__UpperCamelCase		)

												A		=  vocab_size
												A		=  hidden_size
												A		=  num_hidden_layers
												A		=  num_attention_heads
												A		=  hidden_act
												A		=  intermediate_size
												A		=  hidden_dropout_prob
												A		=  attention_probs_dropout_prob
												A		=  max_position_embeddings
												A		=  type_vocab_size
												A		=  initializer_range
												A		=  layer_norm_eps
												A		=  projection_dim
												A		=  position_embedding_type









"""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__				(			UpperCamelCase       ):
							A		=  [False] * len(UpperCamelCase       )
							A		=  [-1] * len(UpperCamelCase       )

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

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

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

							return True


# Adjacency list of graph
_snake_case     :		str       						= {0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}
print(check_bipartite_dfs(graph))


