from ...configuration_utils import PretrainedConfig
from ...utils import logging


_a:    str 							=			logging.get_logger(__name__)

_a:    List[Any] 							=			{
    """google/realm-cc-news-pretrained-embedder""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/config.json"""
    ),
    """google/realm-cc-news-pretrained-encoder""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-encoder/resolve/main/config.json"""
    ),
    """google/realm-cc-news-pretrained-scorer""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-scorer/resolve/main/config.json"""
    ),
    """google/realm-cc-news-pretrained-openqa""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-openqa/aresolve/main/config.json"""
    ),
    """google/realm-orqa-nq-openqa""": """https://huggingface.co/google/realm-orqa-nq-openqa/resolve/main/config.json""",
    """google/realm-orqa-nq-reader""": """https://huggingface.co/google/realm-orqa-nq-reader/resolve/main/config.json""",
    """google/realm-orqa-wq-openqa""": """https://huggingface.co/google/realm-orqa-wq-openqa/resolve/main/config.json""",
    """google/realm-orqa-wq-reader""": """https://huggingface.co/google/realm-orqa-wq-reader/resolve/main/config.json""",
    # See all REALM models at https://huggingface.co/models?filter=realm
}

class 						__UpperCamelCase    (					lowercase__						):
	SCREAMING_SNAKE_CASE__    				=     'realm'




	def __init__(		self	:						List[Any]		,	lowerCAmelCase	:						Union[str, Any]=30_522		,	lowerCAmelCase	:						Optional[Any]=768		,	lowerCAmelCase	:						int=128		,	lowerCAmelCase	:						Dict=12		,	lowerCAmelCase	:						Optional[int]=12		,	lowerCAmelCase	:						List[Any]=8		,	lowerCAmelCase	:						List[Any]=3_072		,	lowerCAmelCase	:						Dict="gelu_new"		,	lowerCAmelCase	:						List[Any]=0.1		,	lowerCAmelCase	:						Optional[int]=0.1		,	lowerCAmelCase	:						int=512		,	lowerCAmelCase	:						Optional[int]=2		,	lowerCAmelCase	:						Any=0.02		,	lowerCAmelCase	:						Union[str, Any]=1e-12		,	lowerCAmelCase	:						Optional[Any]=256		,	lowerCAmelCase	:						List[str]=10		,	lowerCAmelCase	:						Tuple=1e-3		,	lowerCAmelCase	:						Union[str, Any]=5		,	lowerCAmelCase	:						Optional[int]=320		,	lowerCAmelCase	:						Optional[Any]=13_353_718		,	lowerCAmelCase	:						List[str]=5_000		,	lowerCAmelCase	:						Any=1		,	lowerCAmelCase	:						str=0		,	lowerCAmelCase	:						str=2		,	**lowerCAmelCase	:						Optional[Any]		,	):


		'''simple docstring'''







		super().__init__(pad_token_id=UpperCAmelCase__		,	bos_token_id=UpperCAmelCase__		,	eos_token_id=UpperCAmelCase__		,	**UpperCAmelCase__							)

		# Common config
		UpperCAmelCase_       				=			vocab_size
		UpperCAmelCase_       				=			max_position_embeddings
		UpperCAmelCase_       				=			hidden_size
		UpperCAmelCase_       				=			retriever_proj_size
		UpperCAmelCase_       				=			num_hidden_layers
		UpperCAmelCase_       				=			num_attention_heads
		UpperCAmelCase_       				=			num_candidates
		UpperCAmelCase_       				=			intermediate_size
		UpperCAmelCase_       				=			hidden_act
		UpperCAmelCase_       				=			hidden_dropout_prob
		UpperCAmelCase_       				=			attention_probs_dropout_prob
		UpperCAmelCase_       				=			initializer_range
		UpperCAmelCase_       				=			type_vocab_size
		UpperCAmelCase_       				=			layer_norm_eps

		# Reader config
		UpperCAmelCase_       				=			span_hidden_size
		UpperCAmelCase_       				=			max_span_width
		UpperCAmelCase_       				=			reader_layer_norm_eps
		UpperCAmelCase_       				=			reader_beam_size
		UpperCAmelCase_       				=			reader_seq_len

		# Retrieval config
		UpperCAmelCase_       				=			num_block_records
		UpperCAmelCase_       				=			searcher_beam_size


from __future__ import annotations



def       __lowerCAmelCase      (						A       ,     A    ):
	print(F"Vertex\tShortest Distance from vertex {src}"    )
	for i, d in enumerate(A    ):
		print(F"{i}\t\t{d}"    )



def       __lowerCAmelCase      (						A       ,     A       ,     A    ):
	for j in range(A    ):
		UpperCAmelCase_				,   UpperCAmelCase_				,   UpperCAmelCase_       				=			(graph[j][k] for k in ["src", "dst", "weight"])
		if distance[u] != float("inf"    ) and distance[u] + w < distance[v]:
			return True
	return False



def       __lowerCAmelCase      (						A       ,     A       ,     A       ,     A    ):
	UpperCAmelCase_       				=			[float("inf"    )] * vertex_count
	UpperCAmelCase_       				=			0.0

	for _ in range(vertex_count - 1    ):
		for j in range(A    ):
			UpperCAmelCase_				,   UpperCAmelCase_				,   UpperCAmelCase_       				=			(graph[j][k] for k in ["src", "dst", "weight"])

			if distance[u] != float("inf"    ) and distance[u] + w < distance[v]:
				UpperCAmelCase_       				=			distance[u] + w

	UpperCAmelCase_       				=			check_negative_cycle(A       ,     A       ,     A    )
	if negative_cycle_exists:
		raise Exception("Negative cycle found"    )

	return distance


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				_a:    List[str] 							=			int(input("""Enter number of vertices: """).strip())
				_a:    str 							=			int(input("""Enter number of edges: """).strip())

				_a:    list[dict[str, int]] 							=			[{} for _ in range(E)]

				for i in range(E):
								print("""Edge """, i + 1)
								_a							,			_a							,			_a:    Any 							=			(
								    int(x)
								    for x in input("""Enter source, destination, weight: """).strip().split(""" """)
								)
								_a:    str 							=			{"""src""": src, """dst""": dest, """weight""": weight}

				_a:    List[Any] 							=			int(input("""\nEnter shortest path source:""").strip())
				_a:    Optional[int] 							=			bellman_ford(graph, V, E, source)
				print_distance(shortest_distance, 0)