



"""simple docstring"""





import argparse
import json
import subprocess
def 						__lowerCAmelCase    (		__UpperCamelCase   :      int       ,			__UpperCamelCase   :      List[str]     ):


						'''simple docstring'''






						snake_case_ :			List[Any]            =      []

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

						snake_case_ :			Tuple            =      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:
												snake_case_ :			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 						__lowerCAmelCase    (		__UpperCamelCase   :      Optional[int]     ):


											'''simple docstring'''






											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							:       Optional[Any]          =       parser.parse_args()






					get_runner_status(args.target_runners, args.token)









import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


UpperCamelCase    							=      namedtuple(
    '_TestCommandArgs',
    [
        'dataset',
        'name',
        'cache_dir',
        'data_dir',
        'all_configs',
        'save_infos',
        'ignore_verifications',
        'force_redownload',
        'clear_cache',
    ],
    defaults=[None, None, None, False, False, False, False, False],
)


def 				__lowerCamelCase     (							__lowerCAmelCase							:					List[Any]					,							__lowerCAmelCase							:					Any							)     ->  Optional[int]:
   return (abs(source - target							) / target) < 0.01



@pytest.mark.integration
def 				__lowerCamelCase     (							__lowerCAmelCase							:					str							)     ->  Union[str, Any]:
   __UpperCamelCase	:			Dict					=					_TestCommandArgs(dataset=__lowerCAmelCase					,							all_configs=__lowerCAmelCase					,							save_infos=__lowerCAmelCase							)
   __UpperCamelCase	:			List[Any]					=					TestCommand(*__lowerCAmelCase							)
   test_command.run()
   __UpperCamelCase	:			Any					=					os.path.join(__lowerCAmelCase					,							"""README.md"""							)
   assert os.path.exists(__lowerCAmelCase							)
   __UpperCamelCase	:			Optional[int]					=					DatasetInfosDict.from_directory(__lowerCAmelCase							)
   __UpperCamelCase	:			List[Any]					=					DatasetInfosDict(
       {
           """default""": DatasetInfo(
               features=Features(
                   {
                       """tokens""": Sequence(Value("""string"""							)							),
                       """ner_tags""": Sequence(
                           ClassLabel(names=["""O""", """B-PER""", """I-PER""", """B-ORG""", """I-ORG""", """B-LOC""", """I-LOC"""]							)							),
                       """langs""": Sequence(Value("""string"""							)							),
                       """spans""": Sequence(Value("""string"""							)							),
                   }							)					,							splits=[
                   {
                       """name""": """train""",
                       """num_bytes""": 2351563,
                       """num_examples""": 10000,
                   },
                   {
                       """name""": """validation""",
                       """num_bytes""": 238418,
                       """num_examples""": 1000,
                   },
               ]					,							download_size=3940680					,							dataset_size=2589981					,							)
       }							)
   assert dataset_infos.keys() == expected_dataset_infos.keys()
   for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
      __UpperCamelCase	,     __UpperCamelCase	:			Union[str, Any]					=					getattr(dataset_infos["""default"""]					,							__lowerCAmelCase							), getattr(expected_dataset_infos["""default"""]					,							__lowerCAmelCase							)
      if key == "num_bytes":
         assert is_apercent_close(__lowerCAmelCase					,							__lowerCAmelCase							)
      elif key == "splits":
         assert list(__lowerCAmelCase							) == list(__lowerCAmelCase							)
         for split in result:
            assert result[split].name == expected[split].name
            assert result[split].num_examples == expected[split].num_examples
            assert is_apercent_close(result[split].num_bytes					,							expected[split].num_bytes							)
      else:
         result == expected



