



import argparse
import json
import subprocess





def 		a__      (		_UpperCamelCase      :			List[str]			,_UpperCamelCase      :			str				):
   __lowerCamelCase    				=     []

   __lowerCamelCase    				=     (
       F"""curl -H \"Accept: application/vnd.github+json\" -H \"Authorization: Bearer {token}\""""
       ''' https://api.github.com/repos/huggingface/transformers/actions/runners'''
   )
   __lowerCamelCase    				=     subprocess.run(_UpperCamelCase			,shell=_UpperCamelCase			,stdout=subprocess.PIPE				)
   __lowerCamelCase    				=     output.stdout.decode('''utf-8'''				)
   __lowerCamelCase    				=     json.loads(_UpperCamelCase				)

   __lowerCamelCase    				=     status['''runners''']
   for runner in runners:
      if runner["name"] in target_runners:
         if runner["status"] == "offline":
            offline_runners.append(_UpperCamelCase				)

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

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


if __name__ == "__main__":





  def 		a__      (		_UpperCamelCase      :			Optional[Any]				):
     return values.split(''','''				)

  a_								=       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_								=       parser.parse_args()





  get_runner_status(args.target_runners, args.token)











from __future__ import annotations

from math import ceil, floor, sqrt





def 		a__      (		_UpperCamelCase      :			int = 2_00_00_00				):
   __lowerCamelCase    				=     [0]
   __lowerCamelCase    				=     42

   for idx in range(1			,ceil(sqrt(target * 2				) * 1.1				)				):
      triangle_numbers.append(triangle_numbers[-1] + idx				)

   # we want this to be as close as possible to target
   __lowerCamelCase    				=     0
   # the area corresponding to the grid that gives the product closest to target
   __lowerCamelCase    				=     0
   # an estimate of b, using the quadratic formula
   __lowerCamelCase    				=     42
   # the largest integer less than b_estimate
   __lowerCamelCase    				=     42
   # the largest integer less than b_estimate
   __lowerCamelCase    				=     42
   # the triangle number corresponding to b_floor
   __lowerCamelCase    				=     42
   # the triangle number corresponding to b_ceil
   __lowerCamelCase    				=     42

   for idx_a, triangle_a in enumerate(triangle_numbers[1:]			,1				):
      __lowerCamelCase    				=     (-1 + sqrt(1 + 8 * target / triangle_a				)) / 2
      __lowerCamelCase    				=     floor(_UpperCamelCase				)
      __lowerCamelCase    				=     ceil(_UpperCamelCase				)
      __lowerCamelCase    				=     triangle_numbers[b_floor]
      __lowerCamelCase    				=     triangle_numbers[b_ceil]

      if abs(target - triangle_b_first_guess * triangle_a				) < abs(
          target - best_product				):
         __lowerCamelCase    				=     triangle_b_first_guess * triangle_a
         __lowerCamelCase    				=     idx_a * b_floor

      if abs(target - triangle_b_second_guess * triangle_a				) < abs(
          target - best_product				):
         __lowerCamelCase    				=     triangle_b_second_guess * triangle_a
         __lowerCamelCase    				=     idx_a * b_ceil

   return area


if __name__ == "__main__":
  print(f"{solution() = }")






