





"""simple docstring"""


import argparse
import json

from tqdm import tqdm




def 					lowercase__    (					)					->		Dict:




      """simple docstring"""

      _UpperCamelCase      :	Any						=       argparse.ArgumentParser()

      # Required parameters
      parser.add_argument(
          "--src_path"		,type=lowercase_		,default="biencoder-nq-dev.json"		,help="Path to raw DPR training data"		,)
      parser.add_argument(
          "--evaluation_set"		,type=lowercase_		,help="where to store parsed evaluation_set file"		,)
      parser.add_argument(
          "--gold_data_path"		,type=lowercase_		,help="where to store parsed gold_data_path file"		,)
      _UpperCamelCase      :	Union[str, Any]						=       parser.parse_args()

      with open(args.src_path		,"r"			) as src_file, open(args.evaluation_set		,"w"			) as eval_file, open(
          args.gold_data_path		,"w"			) as gold_file:
            _UpperCamelCase      :	Dict						=       json.load(lowercase_			)
            for dpr_record in tqdm(lowercase_			):
                  _UpperCamelCase      :	str						=       dpr_record["question"]
                  _UpperCamelCase      :	Dict						=       [context["title"] for context in dpr_record["positive_ctxs"]]
                  eval_file.write(question + "\n"			)
                  gold_file.write("\t".join(lowercase_			) + "\n"			)


if __name__ == "__main__":
    main()







"""simple docstring"""


def 					lowercase__    (					lowercase_			)					->		set:




      """simple docstring"""

      _UpperCamelCase      :	Union[str, Any]						=       set()
      # edges = list of graph's edges
      _UpperCamelCase      :	Union[str, Any]						=       get_edges(lowercase_			)

      # While there are still elements in edges list, take an arbitrary edge
      # (from_node, to_node) and add his extremity to chosen_vertices and then
      # remove all arcs adjacent to the from_node and to_node
      while edges:
            _UpperCamelCase,  _UpperCamelCase      :	str						=       edges.pop()
            chosen_vertices.add(lowercase_			)
            chosen_vertices.add(lowercase_			)
            for edge in edges.copy():
                  if from_node in edge or to_node in edge:
                        edges.discard(lowercase_			)
      return chosen_vertices




def 					lowercase__    (					lowercase_			)					->		set:




      """simple docstring"""

      _UpperCamelCase      :	List[str]						=       set()
      for from_node, to_nodes in graph.items():
            for to_node in to_nodes:
                  edges.add((from_node, to_node)			)
      return edges


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  # graph = {0: [1, 3], 1: [0, 3], 2: [0, 3, 4], 3: [0, 1, 2], 4: [2, 3]}
  # print(f"Matching vertex cover:\n{matching_min_vertex_cover(graph)}")
