






'''simple docstring'''







import argparse
import json
import subprocess





def 			SCREAMING_SNAKE_CASE_	(UpperCamelCase    ,      UpperCamelCase				)				->	Dict:
							lowerCamelCase__ :     List[Any]	  =	[]

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

							lowerCamelCase__ :     Optional[Any]	  =	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__ :     Union[str, Any]	  =	"""\n""".join([x["""name"""] for x in offline_runners]				)
														raise ValueError(f'''The following runners are offline:\n{failed}'''				)


if __name__ == "__main__":





			def 			SCREAMING_SNAKE_CASE_	(UpperCamelCase				)				->	List[Any]:
										return values.split(""","""				)

			_A     :      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     :      Optional[int]   					=parser.parse_args()



			get_runner_status(args.target_runners, args.token)









'''simple docstring'''







from torch import nn





def 			SCREAMING_SNAKE_CASE_	(UpperCamelCase				)				->	Dict:
							if act_fn in ["swish", "silu"]:
														return nn.SiLU()
							elif act_fn == "mish":
														return nn.Mish()
							elif act_fn == "gelu":
														return nn.GELU()
							else:
														raise ValueError(f'''Unsupported activation function: {act_fn}'''				)

