


"""simple docstring"""



def   __lowerCAmelCase						(						lowercase  :  dict			)     ->						set:


    """simple docstring"""





    snake_case   :				List[str]				 =   set()
    # edges = list of graph's edges
    snake_case   :				Dict				 =   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:
        snake_case ,snake_case   :				Optional[int]				 =   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   __lowerCAmelCase						(						lowercase  :  dict			)     ->						set:


    """simple docstring"""





    snake_case   :				Tuple				 =   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)}")









"""simple docstring"""



import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format="""%(asctime)s - %(levelname)s - %(name)s - %(message)s""", datefmt="""%m/%d/%Y %H:%M:%S""", level=logging.INFO
)
__snake_case             =   logging.getLogger(__name__)

if __name__ == "__main__":
  __snake_case             =   argparse.ArgumentParser(
      description="""Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)"""
  )
  parser.add_argument(
      """--data_file""", type=str, default="""data/dump.bert-base-uncased.pickle""", help="""The binarized dataset."""
  )
  parser.add_argument(
      """--token_counts_dump""", type=str, default="""data/token_counts.bert-base-uncased.pickle""", help="""The dump file."""
  )
  parser.add_argument("""--vocab_size""", default=30522, type=int)
  __snake_case             =   parser.parse_args()

  logger.info(F'''Loading data from {args.data_file}''')
  with open(args.data_file, """rb""") as fp:
    __snake_case             =   pickle.load(fp)

  logger.info("""Counting occurrences for MLM.""")
  __snake_case             =   Counter()
  for tk_ids in data:
    counter.update(tk_ids)
  __snake_case             =   [0] * args.vocab_size
  for k, v in counter.items():
    __snake_case             =   v

  logger.info(F'''Dump to {args.token_counts_dump}''')
  with open(args.token_counts_dump, """wb""") as handle:
    pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)





