import argparse
import json
import subprocess
def 							lowerCAmelCase(     __lowerCamelCase				,    __lowerCamelCase						):
					__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(__lowerCamelCase				,    shell=__lowerCamelCase				,    stdout=subprocess.PIPE						)
					__a		 =       output.stdout.decode('utf-8'						)
					__a		 =       json.loads(__lowerCamelCase						)

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

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

					if len(__lowerCamelCase						) > 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 							lowerCAmelCase(     __lowerCamelCase						):
						return values.split(','						)

	lowerCamelCase_    :		List[Any]							=	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."""
	)
	lowerCamelCase_    :		int							=	parser.parse_args()



	get_runner_status(args.target_runners, args.token)





from __future__ import annotations

import numpy as np
def 							lowerCAmelCase(     __lowerCamelCase						):
					return np.maximum(0				,    __lowerCamelCase						)


if __name__ == "__main__":
	print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]




