


"""simple docstring"""
import math






class      _UpperCAmelCase				:
    def 					lowerCamelCase__	(    self						,    snake_case_						,    snake_case_     ):
      _snake_case     :						str						=   0.0
      _snake_case     :						int						=   0.0
      for i in range(len(_a     )     ):
        da += math.pow((sample[i] - weights[0][i])						,    2     )
        da += math.pow((sample[i] - weights[1][i])						,    2     )
        return 0 if da > da else 1
      return 0


    def 					lowerCamelCase__	(    self						,    snake_case_						,    snake_case_						,    snake_case_						,    snake_case_     ):
      for i in range(len(_a     )     ):
        weights[j][i] += alpha * (sample[i] - weights[j][i])
      return weights


def 				a__   (   ):

  """simple docstring"""







  _snake_case     :						Tuple						=   [[1, 1, 0, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 0, 1, 1]]

  # weight initialization ( n, C )
  _snake_case     :						Union[str, Any]						=   [[0.2, 0.6, 0.5, 0.9], [0.8, 0.4, 0.7, 0.3]]

  # training
  _snake_case     :						Optional[int]						=   SelfOrganizingMap()
  _snake_case     :						int						=   3
  _snake_case     :						List[str]						=   0.5

  for _ in range(lowerCAmelCase__		):
    for j in range(len(lowerCAmelCase__		)		):
      # training sample
      _snake_case     :						str						=   training_samples[j]

      # Compute the winning vector
      _snake_case     :						Optional[Any]						=   self_organizing_map.get_winner(lowerCAmelCase__       ,     lowerCAmelCase__		)

      # Update the winning vector
      _snake_case     :						Any						=   self_organizing_map.update(lowerCAmelCase__       ,     lowerCAmelCase__       ,     lowerCAmelCase__       ,     lowerCAmelCase__		)

    # classify test sample
  _snake_case     :						Optional[Any]						=   [0, 0, 0, 1]
  _snake_case     :						Union[str, Any]						=   self_organizing_map.get_winner(lowerCAmelCase__       ,     lowerCAmelCase__		)

  # results
  print(f'Clusters that the test sample belongs to : {winner}'		)
  print(f'Weights that have been trained : {weights}'		)


# running the main() function
if __name__ == "__main__":
    main()



"""simple docstring"""
import argparse
import json
import subprocess
def 				a__   (   a   :				Optional[Any]       ,     a   :				Optional[int]		):

  """simple docstring"""







  _snake_case     :						str						=   []

  _snake_case     :						Optional[Any]						=   (
      f'curl -H "Accept: application/vnd.github+json" -H "Authorization: Bearer {token}"'
      " https://api.github.com/repos/huggingface/transformers/actions/runners"
  )
  _snake_case     :						Dict						=   subprocess.run(a       ,     shell=a       ,     stdout=subprocess.PIPE		)
  _snake_case     :						Tuple						=   output.stdout.decode("utf-8"		)
  _snake_case     :						List[str]						=   json.loads(a		)

  _snake_case     :						Any						=   status["runners"]
  for runner in runners:
    if runner["name"] in target_runners:
      if runner["status"] == "offline":
        offline_runners.append(a		)

    # save the result so we can report them on Slack
  with open("offline_runners.txt"       ,     "w"		) as fp:
    fp.write(json.dumps(a		)		)

  if len(a		) > 0:
    _snake_case     :						Any						=   "\n".join([x["name"] for x in offline_runners]		)
    raise ValueError(f'The following runners are offline:\n{failed}'		)


if __name__ == "__main__":
    def 				a__   (   a   :				Optional[int]		):

      """simple docstring"""







      return values.split(","		)

    _a      :			Optional[int]					=							argparse.ArgumentParser()
    # Required parameters
    parser.add_argument(
        """--target_runners""",
        default=None,
        type=list_str,
        required=True,
        help="""Comma-separated list of runners to check status.""",
    )

    parser.add_argument(
        """--token""", default=None, type=str, required=True, help="""A token that has actions:read permission."""
    )
    _a      :			List[str]					=							parser.parse_args()



    get_runner_status(args.target_runners, args.token)

