


import argparse
import json
import subprocess
def 							UpperCamelCase_(					_A :List[str]					,  _A :Tuple	)->		int:
			UpperCamelCase__       =							[]

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

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


if __name__ == "__main__":
						def 							UpperCamelCase_(					_A :int	)->		List[str]:
									return values.split(","	)

						__UpperCamelCase     		=							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.'
						)
						__UpperCamelCase     		=							parser.parse_args()







						get_runner_status(args.target_runners, args.token)





'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


_a					:			Any							=    {
    'configuration_groupvit': [
        'GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'GroupViTConfig',
        'GroupViTOnnxConfig',
        'GroupViTTextConfig',
        'GroupViTVisionConfig',
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _a					:			Union[str, Any]							=    [
      'GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
      'GroupViTModel',
      'GroupViTPreTrainedModel',
      'GroupViTTextModel',
      'GroupViTVisionModel',
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _a					:			Tuple							=    [
      'TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
      'TFGroupViTModel',
      'TFGroupViTPreTrainedModel',
      'TFGroupViTTextModel',
      'TFGroupViTVisionModel',
  ]

if TYPE_CHECKING:
  from .configuration_groupvit import (
      GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
      GroupViTConfig,
      GroupViTOnnxConfig,
      GroupViTTextConfig,
      GroupViTVisionConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_groupvit import (
        GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        GroupViTModel,
        GroupViTPreTrainedModel,
        GroupViTTextModel,
        GroupViTVisionModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_groupvit import (
        TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFGroupViTModel,
        TFGroupViTPreTrainedModel,
        TFGroupViTTextModel,
        TFGroupViTVisionModel,
    )

else:
  import sys

  _a					:			Union[str, Any]							=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


