


import json
import logging
import os
import sys
from time import time
from unittest.mock import patch

from transformers.testing_utils import TestCasePlus, require_torch_tpu


logging.basicConfig(level=logging.DEBUG)

lowerCAmelCase__    :Union[str, Any]       =				logging.getLogger()

def 			lowerCAmelCase__					(     a__:						Tuple			)    ->						Tuple:


							'''simple docstring'''





							_UpperCAmelCase											=     {}
							_UpperCAmelCase											=     os.path.join(a__     ,    'all_results.json'			)
							if os.path.exists(a__			):
														with open(a__     ,    'r'			) as f:
																					_UpperCAmelCase											=     json.load(a__			)
							else:
														raise ValueError(F'''can\'t find {path}'''			)
							return results


lowerCAmelCase__    :Union[str, Any]       =				logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)







@require_torch_tpu
class 						__a (							UpperCAmelCase     ):
		def       UpperCAmelCase__							(     self		)					->			Union[str, Any]:




									"""simple docstring"""





									import xla_spawn

									_UpperCAmelCase											=     self.get_auto_remove_tmp_dir()
									_UpperCAmelCase											=     f'''
            ./examples/pytorch/text-classification/run_glue.py
            --num_cores=8
            ./examples/pytorch/text-classification/run_glue.py
            --model_name_or_path distilbert-base-uncased
            --output_dir {tmp_dir}
            --overwrite_output_dir
            --train_file ./tests/fixtures/tests_samples/MRPC/train.csv
            --validation_file ./tests/fixtures/tests_samples/MRPC/dev.csv
            --do_train
            --do_eval
            --debug tpu_metrics_debug
            --per_device_train_batch_size=2
            --per_device_eval_batch_size=1
            --learning_rate=1e-4
            --max_steps=10
            --warmup_steps=2
            --seed=42
            --max_seq_length=128
            '''.split()

									with patch.object(_SCREAMING_SNAKE_CASE     ,       'argv'     ,       _SCREAMING_SNAKE_CASE		):
																_UpperCAmelCase											=     time()
																xla_spawn.main()
																_UpperCAmelCase											=     time()

																_UpperCAmelCase											=     get_results(_SCREAMING_SNAKE_CASE		)
																self.assertGreaterEqual(result['eval_accuracy']     ,       0.75		)

																# Assert that the script takes less than 500 seconds to make sure it doesn't hang.
																self.assertLess(end - start     ,       500		)






		def       UpperCAmelCase__							(     self		)					->			Dict:




									"""simple docstring"""





									import xla_spawn

									_UpperCAmelCase											=     '\n            ./tests/test_trainer_tpu.py\n            --num_cores=8\n            ./tests/test_trainer_tpu.py\n            '.split()
									with patch.object(_SCREAMING_SNAKE_CASE     ,       'argv'     ,       _SCREAMING_SNAKE_CASE		):
																xla_spawn.main()




import argparse
import json
import subprocess

def 			lowerCAmelCase__					(     a__:						List[str]     ,    a__:						Optional[int]			)    ->						Union[str, Any]:


							'''simple docstring'''





							_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 			lowerCAmelCase__					(     a__:						int			)    ->						List[Any]:


									'''simple docstring'''





									return values.split(','			)

		lowerCAmelCase__    :Optional[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__    :Tuple       =				parser.parse_args()







		get_runner_status(args.target_runners, args.token)
