


'''simple docstring'''







import argparse
import json
import subprocess




def        __lowercase						(      __SCREAMING_SNAKE_CASE				,  __SCREAMING_SNAKE_CASE		)				->					Union[str, Any]:
     """simple docstring"""




     __a       =   []

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

     __a       =   status["""runners"""]
     for runner in runners:
          if runner["name"] in target_runners:
               if runner["status"] == "offline":
                    offline_runners.append(__SCREAMING_SNAKE_CASE		)

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

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


if __name__ == "__main__":




 def        __lowercase						(      __SCREAMING_SNAKE_CASE		)				->					Optional[Any]:
      """simple docstring"""




      return values.split(""","""		)

 SCREAMING_SNAKE_CASE_      =			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.'
 )
 SCREAMING_SNAKE_CASE_      =			parser.parse_args()



 get_runner_status(args.target_runners, args.token)










'''simple docstring'''







from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE_      =			{
    'configuration_bridgetower': [
        'BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BridgeTowerConfig',
        'BridgeTowerTextConfig',
        'BridgeTowerVisionConfig',
    ],
    'processing_bridgetower': ['BridgeTowerProcessor'],
}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE_      =			['BridgeTowerImageProcessor']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE_      =			[
     'BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST',
     'BridgeTowerForContrastiveLearning',
     'BridgeTowerForImageAndTextRetrieval',
     'BridgeTowerForMaskedLM',
     'BridgeTowerModel',
     'BridgeTowerPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_bridgetower import (
     BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
     BridgeTowerConfig,
     BridgeTowerTextConfig,
     BridgeTowerVisionConfig,
 )
 from .processing_bridgetower import BridgeTowerProcessor

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .image_processing_bridgetower import BridgeTowerImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_bridgetower import (
      BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
      BridgeTowerForContrastiveLearning,
      BridgeTowerForImageAndTextRetrieval,
      BridgeTowerForMaskedLM,
      BridgeTowerModel,
      BridgeTowerPreTrainedModel,
  )


else:
 import sys

 SCREAMING_SNAKE_CASE_      =			_LazyModule(__name__, globals()['__file__'], _import_structure)






