




'''simple docstring'''






import asyncio
import os
import shutil
import subprocess
import sys
import tempfile
import unittest
from distutils.util import strtobool
from functools import partial
from pathlib import Path
from typing import List, Union
from unittest import mock

import torch

from ..state import AcceleratorState, PartialState
from ..utils import (
    gather,
    is_bnb_available,
    is_comet_ml_available,
    is_datasets_available,
    is_deepspeed_available,
    is_mps_available,
    is_safetensors_available,
    is_tensorboard_available,
    is_torch_version,
    is_tpu_available,
    is_transformers_available,
    is_wandb_available,
    is_xpu_available,
)


def  _snake_case       (					A			,   A=False	)						->   Optional[Any]:
							try:
														lowerCAmelCase__	       =     os.environ[key]
							except KeyError:
														# KEY isn't set, default to `default`.
														lowerCAmelCase__	       =     default
							else:
														# KEY is set, convert it to True or False.
														try:
																					lowerCAmelCase__	       =     strtobool(snake_case__	)
														except ValueError:
																					# More values are supported, but let's keep the message simple.
																					raise ValueError(F"""If set, {key} must be yes or no."""	)
							return _value


__UpperCAmelCase       =							parse_flag_from_env('''RUN_SLOW''', default=False)


def  _snake_case       (					A	)						->   str:
							return unittest.skip('''Test was skipped'''	)(snake_case__	)


def  _snake_case       (					A	)						->   Optional[Any]:
							return unittest.skipUnless(_run_slow_tests			,   '''test is slow'''	)(snake_case__	)


def  _snake_case       (					A	)						->   Dict:
							return unittest.skipUnless(not torch.cuda.is_available()			,   '''test requires only a CPU'''	)(snake_case__	)


def  _snake_case       (					A	)						->   Dict:
							return unittest.skipUnless(torch.cuda.is_available()			,   '''test requires a GPU'''	)(snake_case__	)


def  _snake_case       (					A	)						->   List[Any]:
							return unittest.skipUnless(is_xpu_available()			,   '''test requires a XPU'''	)(snake_case__	)


def  _snake_case       (					A	)						->   List[Any]:
							return unittest.skipUnless(is_mps_available()			,   '''test requires a `mps` backend support in `torch`'''	)(snake_case__	)


def  _snake_case       (					A	)						->   Tuple:
							return unittest.skipUnless(
							    is_transformers_available() and is_datasets_available()			,   '''test requires the Hugging Face suite'''	)(snake_case__	)


def  _snake_case       (					A	)						->   List[Any]:
							return unittest.skipUnless(is_bnb_available()			,   '''test requires the bitsandbytes library'''	)(snake_case__	)


def  _snake_case       (					A	)						->   List[str]:
							return unittest.skipUnless(is_tpu_available()			,   '''test requires TPU'''	)(snake_case__	)


def  _snake_case       (					A	)						->   Optional[int]:
							return unittest.skipUnless(torch.cuda.device_count() == 1			,   '''test requires a GPU'''	)(snake_case__	)


def  _snake_case       (					A	)						->   Dict:
							return unittest.skipUnless(torch.xpu.device_count() == 1			,   '''test requires a XPU'''	)(snake_case__	)


def  _snake_case       (					A	)						->   Any:
							return unittest.skipUnless(torch.cuda.device_count() > 1			,   '''test requires multiple GPUs'''	)(snake_case__	)


def  _snake_case       (					A	)						->   int:
							return unittest.skipUnless(torch.xpu.device_count() > 1			,   '''test requires multiple XPUs'''	)(snake_case__	)


def  _snake_case       (					A	)						->   Any:
							return unittest.skipUnless(is_safetensors_available()			,   '''test requires safetensors'''	)(snake_case__	)


def  _snake_case       (					A	)						->   Dict:
							return unittest.skipUnless(is_deepspeed_available()			,   '''test requires DeepSpeed'''	)(snake_case__	)


def  _snake_case       (					A	)						->   Optional[Any]:
							return unittest.skipUnless(is_torch_version('''>='''			,   '''1.12.0'''	)			,   '''test requires torch version >= 1.12.0'''	)(snake_case__	)


def  _snake_case       (					A=None			,   A=None	)						->   Optional[Any]:
							if test_case is None:
														return partial(snake_case__			,   version=snake_case__	)
							return unittest.skipUnless(is_torch_version('''>='''			,   snake_case__	)			,   F"""test requires torch version >= {version}"""	)(snake_case__	)


def  _snake_case       (					A	)						->   Optional[Any]:
							return unittest.skipUnless(is_tensorboard_available()			,   '''test requires Tensorboard'''	)(snake_case__	)


def  _snake_case       (					A	)						->   Tuple:
							return unittest.skipUnless(is_wandb_available()			,   '''test requires wandb'''	)(snake_case__	)


def  _snake_case       (					A	)						->   List[Any]:
							return unittest.skipUnless(is_comet_ml_available()			,   '''test requires comet_ml'''	)(snake_case__	)


__UpperCAmelCase       =							(
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)


def  _snake_case       (					A	)						->   Optional[Any]:
							return unittest.skipUnless(
							    _atleast_one_tracker_available			,   '''test requires at least one tracker to be available and for `comet_ml` to not be installed'''			,   )(snake_case__	)




class 		a__    (							unittest.TestCase  ):





							'''simple docstring'''






							lowercase__      :       Optional[Any]     						=				True







							@classmethod
							def   __SCREAMING_SNAKE_CASE							(		cls       )	->							Any:
														lowerCAmelCase__	       =     tempfile.mkdtemp()







							@classmethod
							def   __SCREAMING_SNAKE_CASE							(		cls       )	->							Tuple:
														if os.path.exists(cls.tmpdir       ):
																					shutil.rmtree(cls.tmpdir       )







							def   __SCREAMING_SNAKE_CASE							(		self       )	->							str:
														if self.clear_on_setup:
																					for path in Path(self.tmpdir       ).glob('''**/*'''       ):
																												if path.is_file():
																																			path.unlink()
																												elif path.is_dir():
																																			shutil.rmtree(SCREAMING_SNAKE_CASE_       )




class 		a__    (							unittest.TestCase  ):





							'''simple docstring'''






							def   __SCREAMING_SNAKE_CASE							(		self       )	->							Optional[int]:
														super().tearDown()
														# Reset the state of the AcceleratorState singleton.
														AcceleratorState._reset_state()
														PartialState._reset_state()




class 		a__    (							unittest.TestCase  ):





							'''simple docstring'''






							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							Tuple:
														lowerCAmelCase__	       =     mocks if isinstance(SCREAMING_SNAKE_CASE_ ,   (tuple, list)       ) else [mocks]
														for m in self.mocks:
																					m.start()
																					self.addCleanup(m.stop       )


def  _snake_case       (					A	)						->   Optional[int]:
							lowerCAmelCase__	       =     AcceleratorState()
							lowerCAmelCase__	       =     tensor[None].clone().to(state.device	)
							lowerCAmelCase__	       =     gather(snake_case__	).cpu()
							lowerCAmelCase__	       =     tensor[0].cpu()
							for i in range(tensors.shape[0]	):
														if not torch.equal(tensors[i]			,   snake_case__	):
																					return False
							return True




class 		a__    :





							'''simple docstring'''






							def __init__(		self ,   lowerCamelCase_ ,   lowerCamelCase_ ,   lowerCamelCase_       )	->							int:
														lowerCAmelCase__	       =     returncode
														lowerCAmelCase__	       =     stdout
														lowerCAmelCase__	       =     stderr


async def  _snake_case       (					A			,   A	)						->   Union[str, Any]:
							while True:
														lowerCAmelCase__	       =     await stream.readline()
														if line:
																					callback(snake_case__	)
														else:
																					break


async def  _snake_case       (					A			,   A=None			,   A=None			,   A=None			,   A=False			,   A=False	)						->   _RunOutput:
							if echo:
														print('''\nRunning: '''			,   ''' '''.join(snake_case__	)	)

							lowerCAmelCase__	       =     await asyncio.create_subprocess_exec(
							    cmd[0]			,   *cmd[1:]			,   stdin=snake_case__			,   stdout=asyncio.subprocess.PIPE			,   stderr=asyncio.subprocess.PIPE			,   env=snake_case__			,   )

							# note: there is a warning for a possible deadlock when using `wait` with huge amounts of data in the pipe
							# https://docs.python.org/3/library/asyncio-subprocess.html#asyncio.asyncio.subprocess.Process.wait
							#
							# If it starts hanging, will need to switch to the following code. The problem is that no data
							# will be seen until it's done and if it hangs for example there will be no debug info.
							# out, err = await p.communicate()
							# return _RunOutput(p.returncode, out, err)

							lowerCAmelCase__	       =     []
							lowerCAmelCase__	       =     []

							def tee(A			,   A			,   A			,   A=""	):
														lowerCAmelCase__	       =     line.decode('''utf-8'''	).rstrip()
														sink.append(snake_case__	)
														if not quiet:
																					print(snake_case__			,   snake_case__			,   file=snake_case__	)

    # XXX: the timeout doesn't seem to make any difference here
							await asyncio.wait(
							    [
							        asyncio.create_task(_read_stream(p.stdout			,   lambda A	: tee(snake_case__			,   snake_case__			,   sys.stdout			,   label='''stdout:'''	)	)	),
							        asyncio.create_task(_read_stream(p.stderr			,   lambda A	: tee(snake_case__			,   snake_case__			,   sys.stderr			,   label='''stderr:'''	)	)	),
							    ]			,   timeout=snake_case__			,   )
							return _RunOutput(await p.wait()			,   snake_case__			,   snake_case__	)


def  _snake_case       (					A			,   A=None			,   A=None			,   A=180			,   A=False			,   A=True	)						->   _RunOutput:
							lowerCAmelCase__	       =     asyncio.get_event_loop()
							lowerCAmelCase__	       =     loop.run_until_complete(
							    _stream_subprocess(snake_case__			,   env=snake_case__			,   stdin=snake_case__			,   timeout=snake_case__			,   quiet=snake_case__			,   echo=snake_case__	)	)

							lowerCAmelCase__	       =     ' '.join(snake_case__	)
							if result.returncode > 0:
														lowerCAmelCase__	       =     '\n'.join(result.stderr	)
														raise RuntimeError(
														    F"""'{cmd_str}' failed with returncode {result.returncode}\n\n"""
														    F"""The combined stderr from workers follows:\n{stderr}"""	)

							return result




class 		a__    (							a__  ):





							'''simple docstring'''






							pass


def  _snake_case       (					A			,   A=False	)						->   int:
							try:
														lowerCAmelCase__	       =     subprocess.check_output(snake_case__			,   stderr=subprocess.STDOUT	)
														if return_stdout:
																					if hasattr(snake_case__			,   '''decode'''	):
																												lowerCAmelCase__	       =     output.decode('''utf-8'''	)
																					return output
							except subprocess.CalledProcessError as e:
														raise SubprocessCallException(
														    F"""Command `{" ".join(snake_case__	)}` failed with the following error:\n\n{e.output.decode()}"""	) from e



'''simple docstring'''






import argparse
import json
import subprocess


def  _snake_case       (					A			,   A	)						->   Tuple:
							lowerCAmelCase__	       =     []

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

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


if __name__ == "__main__":


		def  _snake_case       (					A	)						->   Optional[Any]:
									return values.split(''','''	)

		__UpperCAmelCase       =							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.'''
		)
		__UpperCAmelCase       =							parser.parse_args()






		get_runner_status(args.target_runners, args.token)