


"""simple docstring"""







import argparse
import os
import sys
import urllib.request
import zipfile


__lowercase          = ["""CoLA""", """SST""", """MRPC""", """QQP""", """STS""", """MNLI""", """SNLI""", """QNLI""", """RTE""", """WNLI""", """diagnostic"""]
__lowercase          = {
    """CoLA""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FCoLA.zip?alt=media&token=46d5e637-3411-4188-bc44-5809b5bfb5f4""",
    """SST""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSST-2.zip?alt=media&token=aabc5f6b-e466-44a2-b9b4-cf6337f84ac8""",
    """MRPC""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2Fmrpc_dev_ids.tsv?alt=media&token=ec5c0836-31d5-48f4-b431-7480817f1adc""",
    """QQP""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQQP.zip?alt=media&token=700c6acf-160d-4d89-81d1-de4191d02cb5""",
    """STS""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSTS-B.zip?alt=media&token=bddb94a7-8706-4e0d-a694-1109e12273b5""",
    """MNLI""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FMNLI.zip?alt=media&token=50329ea1-e339-40e2-809c-10c40afff3ce""",
    """SNLI""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSNLI.zip?alt=media&token=4afcfbb2-ff0c-4b2d-a09a-dbf07926f4df""",
    """QNLI""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQNLIv2.zip?alt=media&token=6fdcf570-0fc5-4631-8456-9505272d1601""",
    """RTE""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FRTE.zip?alt=media&token=5efa7e85-a0bb-4f19-8ea2-9e1840f077fb""",
    """WNLI""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FWNLI.zip?alt=media&token=068ad0a0-ded7-4bd7-99a5-5e00222e0faf""",
    """diagnostic""": """https://storage.googleapis.com/mtl-sentence-representations.appspot.com/tsvsWithoutLabels%2FAX.tsv?GoogleAccessId=firebase-adminsdk-0khhl@mtl-sentence-representations.iam.gserviceaccount.com&Expires=2498860800&Signature=DuQ2CSPt2Yfre0C%2BiISrVYrIFaZH1Lc7hBVZDD4ZyR7fZYOMNOUGpi8QxBmTNOrNPjR3z1cggo7WXFfrgECP6FBJSsURv8Ybrue8Ypt%2FTPxbuJ0Xc2FhDi%2BarnecCBFO77RSbfuz%2Bs95hRrYhTnByqu3U%2FYZPaj3tZt5QdfpH2IUROY8LiBXoXS46LE%2FgOQc%2FKN%2BA9SoscRDYsnxHfG0IjXGwHN%2Bf88q6hOmAxeNPx6moDulUF6XMUAaXCSFU%2BnRO2RDL9CapWxj%2BDl7syNyHhB7987hZ80B%2FwFkQ3MEs8auvt5XW1%2Bd4aCU7ytgM69r8JDCwibfhZxpaa4gd50QXQ%3D%3D""",
}

__lowercase          = """https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"""
__lowercase          = """https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"""


def 	lowercase     (							A_    ,  A_			)-> List[str]:
  '''simple docstring'''







  print(F'''Downloading and extracting {task}...'''			)
  a		:						Tuple 				=     F'''{task}.zip'''
  urllib.request.urlretrieve(TASKaPATH[task]    ,  A_			)
  with zipfile.ZipFile(A_			) as zip_ref:
    zip_ref.extractall(A_			)
  os.remove(A_			)
  print("\tCompleted!"			)


def 	lowercase     (							A_    ,  A_			)-> Optional[Any]:
  '''simple docstring'''







  print("Processing MRPC..."			)
  a		:						int 				=     os.path.join(A_    ,  "MRPC"			)
  if not os.path.isdir(A_			):
    os.mkdir(A_			)
  if path_to_data:
    a		:						str 				=     os.path.join(A_    ,  "msr_paraphrase_train.txt"			)
    a		:						Dict 				=     os.path.join(A_    ,  "msr_paraphrase_test.txt"			)
  else:
    print("Local MRPC data not specified, downloading data from %s" % MRPC_TRAIN			)
    a		:						List[Any] 				=     os.path.join(A_    ,  "msr_paraphrase_train.txt"			)
    a		:						List[str] 				=     os.path.join(A_    ,  "msr_paraphrase_test.txt"			)
    urllib.request.urlretrieve(A_    ,  A_			)
    urllib.request.urlretrieve(A_    ,  A_			)
  if not os.path.isfile(A_			):
    raise ValueError(F'''Train data not found at {mrpc_train_file}'''			)
  if not os.path.isfile(A_			):
    raise ValueError(F'''Test data not found at {mrpc_test_file}'''			)
  urllib.request.urlretrieve(TASKaPATH["MRPC"]    ,  os.path.join(A_    ,  "dev_ids.tsv"			)			)

  a		:						Optional[Any] 				=     []
  with open(os.path.join(A_    ,  "dev_ids.tsv"			)    ,  encoding="utf8"			) as ids_fh:
    for row in ids_fh:
      dev_ids.append(row.strip().split("\t"			)			)

  with open(A_    ,  encoding="utf8"			) as data_fh, open(
      os.path.join(A_    ,  "train.tsv"			)    ,  "w"    ,  encoding="utf8"			) as train_fh, open(os.path.join(A_    ,  "dev.tsv"			)    ,  "w"    ,  encoding="utf8"			) as dev_fh:
    a		:						Optional[Any] 				=     data_fh.readline()
    train_fh.write(A_			)
    dev_fh.write(A_			)
    for row in data_fh:
      a				,						a				,						a				,						a				,						a		:						Union[str, Any] 				=     row.strip().split("\t"			)
      if [ida, ida] in dev_ids:
        dev_fh.write("%s\t%s\t%s\t%s\t%s\n" % (label, ida, ida, sa, sa)			)
      else:
        train_fh.write("%s\t%s\t%s\t%s\t%s\n" % (label, ida, ida, sa, sa)			)

  with open(A_    ,  encoding="utf8"			) as data_fh, open(
      os.path.join(A_    ,  "test.tsv"			)    ,  "w"    ,  encoding="utf8"			) as test_fh:
    a		:						Optional[Any] 				=     data_fh.readline()
    test_fh.write("index\t#1 ID\t#2 ID\t#1 String\t#2 String\n"			)
    for idx, row in enumerate(A_			):
      a				,						a				,						a				,						a				,						a		:						Any 				=     row.strip().split("\t"			)
      test_fh.write("%d\t%s\t%s\t%s\t%s\n" % (idx, ida, ida, sa, sa)			)
  print("\tCompleted!"			)


def 	lowercase     (							A_			)-> Optional[int]:
  '''simple docstring'''







  print("Downloading and extracting diagnostic..."			)
  if not os.path.isdir(os.path.join(A_    ,  "diagnostic"			)			):
    os.mkdir(os.path.join(A_    ,  "diagnostic"			)			)
  a		:						str 				=     os.path.join(A_    ,  "diagnostic"    ,  "diagnostic.tsv"			)
  urllib.request.urlretrieve(TASKaPATH["diagnostic"]    ,  A_			)
  print("\tCompleted!"			)
  return


def 	lowercase     (							A_			)-> List[str]:
  '''simple docstring'''







  a		:						List[str] 				=     task_names.split(","			)
  if "all" in task_names:
    a		:						Any 				=     TASKS
  else:
    a		:						Optional[int] 				=     []
    for task_name in task_names:
      if task_name not in TASKS:
        raise ValueError(F'''Task {task_name} not found!'''			)
      tasks.append(A_			)
  return tasks


def 	lowercase     (							A_			)-> Any:
  '''simple docstring'''







  a		:						str 				=     argparse.ArgumentParser()
  parser.add_argument("--data_dir"    ,  help="directory to save data to"    ,  type=A_    ,  default="glue_data"			)
  parser.add_argument(
      "--tasks"    ,  help="tasks to download data for as a comma separated string"    ,  type=A_    ,  default="all"			)
  parser.add_argument(
      "--path_to_mrpc"    ,  help="path to directory containing extracted MRPC data, msr_paraphrase_train.txt and msr_paraphrase_text.txt"    ,  type=A_    ,  default=""    ,  )
  a		:						Any 				=     parser.parse_args(A_			)

  if not os.path.isdir(args.data_dir			):
    os.mkdir(args.data_dir			)
  a		:						int 				=     get_tasks(args.tasks			)

  for task in tasks:
    if task == "MRPC":
      format_mrpc(args.data_dir    ,  args.path_to_mrpc			)
    elif task == "diagnostic":
      download_diagnostic(args.data_dir			)
    else:
      download_and_extract(A_    ,  args.data_dir			)


if __name__ == "__main__":
 sys.exit(main(sys.argv[1:]))










"""simple docstring"""







def 	lowercase     (							A_    ,  A_			)-> list[tuple[int, int, int]]:
  '''simple docstring'''







  a		:						Union[str, Any] 				=     sorted(A_    ,  key=lambda A_			: edge[2]			)

  a		:						List[Any] 				=     list(range(A_			)			)

  def find_parent(A_			):
    if i != parent[i]:
      a		:						Dict 				=     find_parent(parent[i]			)
    return parent[i]

  a		:						Optional[Any] 				=     0
  a		:						Optional[int] 				=     []

  for edge in edges:
    a		:						List[str] 				=     find_parent(edge[0]			)
    a		:						int 				=     find_parent(edge[1]			)
    if parent_a != parent_b:
      minimum_spanning_tree_cost += edge[2]
      minimum_spanning_tree.append(A_			)
      a		:						Tuple 				=     parent_b

  return minimum_spanning_tree


if __name__ == "__main__":  # pragma: no cover
 __lowercase   ,				__lowercase          = list(map(int, input().strip().split()))
 __lowercase          = []

 for _ in range(num_edges):
  __lowercase   ,				__lowercase   ,				__lowercase          = (int(x) for x in input().strip().split())
  edges.append((nodea, nodea, cost))

 kruskal(num_nodes, edges)






