


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_     (  snake_case			,							snake_case=False     )  ->				List[str]:
       try:
              lowercase__:   Optional[int]  			=   os.environ[key]
       except KeyError:
              # KEY isn't set, default to `default`.
              lowercase__:   Dict  			=   default
       else:
              # KEY is set, convert it to True or False.
              try:
                     lowercase__:   List[str]  			=   strtobool(_lowerCAmelCase     )
              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


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




def    snake_case_     (  snake_case     )  ->				List[Any]:
       return unittest.skip('Test was skipped'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				Union[str, Any]:
       return unittest.skipUnless(_run_slow_tests			,							'test is slow'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				List[str]:
       return unittest.skipUnless(not torch.cuda.is_available()			,							'test requires only a CPU'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				Any:
       return unittest.skipUnless(torch.cuda.is_available()			,							'test requires a GPU'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				int:
       return unittest.skipUnless(is_xpu_available()			,							'test requires a XPU'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				Union[str, Any]:
       return unittest.skipUnless(is_mps_available()			,							'test requires a `mps` backend support in `torch`'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				List[str]:
       return unittest.skipUnless(
           is_transformers_available() and is_datasets_available()			,							'test requires the Hugging Face suite'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				List[Any]:
       return unittest.skipUnless(is_bnb_available()			,							'test requires the bitsandbytes library'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				Any:
       return unittest.skipUnless(is_tpu_available()			,							'test requires TPU'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				Union[str, Any]:
       return unittest.skipUnless(torch.cuda.device_count() == 1			,							'test requires a GPU'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				List[str]:
       return unittest.skipUnless(torch.xpu.device_count() == 1			,							'test requires a XPU'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				Dict:
       return unittest.skipUnless(torch.cuda.device_count() > 1			,							'test requires multiple GPUs'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				List[str]:
       return unittest.skipUnless(torch.xpu.device_count() > 1			,							'test requires multiple XPUs'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				List[Any]:
       return unittest.skipUnless(is_safetensors_available()			,							'test requires safetensors'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				Union[str, Any]:
       return unittest.skipUnless(is_deepspeed_available()			,							'test requires DeepSpeed'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				Optional[int]:
       return unittest.skipUnless(is_torch_version('>='			,							'1.12.0'     )			,							'test requires torch version >= 1.12.0'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case=None			,							snake_case=None     )  ->				Any:
       if test_case is None:
              return partial(_lowerCAmelCase			,							version=_lowerCAmelCase     )
       return unittest.skipUnless(is_torch_version('>='			,							_lowerCAmelCase     )			,							f'test requires torch version >= {version}'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				int:
       return unittest.skipUnless(is_tensorboard_available()			,							'test requires Tensorboard'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				Any:
       return unittest.skipUnless(is_wandb_available()			,							'test requires wandb'     )(_lowerCAmelCase     )




def    snake_case_     (  snake_case     )  ->				Optional[Any]:
       return unittest.skipUnless(is_comet_ml_available()			,							'test requires comet_ml'     )(_lowerCAmelCase     )


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




def    snake_case_     (  snake_case     )  ->				int:
       return unittest.skipUnless(
           _atleast_one_tracker_available			,							'test requires at least one tracker to be available and for `comet_ml` to not be installed'			,							)(_lowerCAmelCase     )





class   __a			(    unittest.TestCase      ):
 __lowercase :							List[Any]        = True
 @classmethod
 def 		SCREAMING_SNAKE_CASE__   (   cls )					->				Optional[Any]:




        '''simple docstring'''
        lowercase__:   Union[str, Any]  			=   tempfile.mkdtemp()
 @classmethod
 def 		SCREAMING_SNAKE_CASE__   (   cls )					->				Optional[int]:




        '''simple docstring'''
        if os.path.exists(cls.tmpdir ):
               shutil.rmtree(cls.tmpdir )
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				int:




        '''simple docstring'''
        if self.clear_on_setup:
               for path in Path(self.tmpdir ).glob('**/*' ):
                      if path.is_file():
                             path.unlink()
                      elif path.is_dir():
                             shutil.rmtree(snake_case_ )





class   __a			(    unittest.TestCase      ):
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				Tuple:




        '''simple docstring'''
        super().tearDown()
        # Reset the state of the AcceleratorState singleton.
        AcceleratorState._reset_state()
        PartialState._reset_state()





class   __a			(    unittest.TestCase      ):
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				str:




        '''simple docstring'''
        lowercase__:   Dict  			=   mocks if isinstance(snake_case_				, (tuple, list) ) else [mocks]
        for m in self.mocks:
               m.start()
               self.addCleanup(m.stop )





def    snake_case_     (  snake_case     )  ->				int:
       lowercase__:   Union[str, Any]  			=   AcceleratorState()
       lowercase__:   int  			=   tensor[None].clone().to(state.device     )
       lowercase__:   Optional[Any]  			=   gather(_lowerCAmelCase     ).cpu()
       lowercase__:   str  			=   tensor[0].cpu()
       for i in range(tensors.shape[0]     ):
              if not torch.equal(tensors[i]			,							_lowerCAmelCase     ):
                     return False
       return True





class   __a			:
 def __init__(   self				, lowerCAmelCase__				, lowerCAmelCase__				, lowerCAmelCase__ )					->				int:




        '''simple docstring'''
        lowercase__:   List[Any]  			=   returncode
        lowercase__:   List[Any]  			=   stdout
        lowercase__:   List[Any]  			=   stderr





async def    snake_case_     (  snake_case			,							snake_case     )  ->				Optional[int]:
       while True:
              lowercase__:   Optional[int]  			=   await stream.readline()
              if line:
                     callback(_lowerCAmelCase     )
              else:
                     break




async def    snake_case_     (  snake_case			,							snake_case=None			,							snake_case=None			,							snake_case=None			,							snake_case=False			,							snake_case=False     )  ->				_RunOutput:
       if echo:
              print('\nRunning: '			,							' '.join(_lowerCAmelCase     )     )

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

       # 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)

       lowercase__:   List[Any]  			=   []
       lowercase__:   Any  			=   []

       def tee(snake_case			,							snake_case			,							snake_case			,							snake_case=""     ):
              lowercase__:   str  			=   line.decode('utf-8'     ).rstrip()
              sink.append(_lowerCAmelCase     )
              if not quiet:
                     print(_lowerCAmelCase			,							_lowerCAmelCase			,							file=_lowerCAmelCase     )

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




def    snake_case_     (  snake_case			,							snake_case=None			,							snake_case=None			,							snake_case=1_80			,							snake_case=False			,							snake_case=True     )  ->				_RunOutput:
       lowercase__:   Optional[Any]  			=   asyncio.get_event_loop()
       lowercase__:   List[Any]  			=   loop.run_until_complete(
           _stream_subprocess(_lowerCAmelCase			,							env=_lowerCAmelCase			,							stdin=_lowerCAmelCase			,							timeout=_lowerCAmelCase			,							quiet=_lowerCAmelCase			,							echo=_lowerCAmelCase     )     )

       lowercase__:   List[Any]  			=   """ """.join(_lowerCAmelCase     )
       if result.returncode > 0:
              lowercase__:   List[str]  			=   """\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      ):
 pass





def    snake_case_     (  snake_case			,							snake_case=False     )  ->				List[Any]:
       try:
              lowercase__:   List[Any]  			=   subprocess.check_output(_lowerCAmelCase			,							stderr=subprocess.STDOUT     )
              if return_stdout:
                     if hasattr(_lowerCAmelCase			,							'decode'     ):
                            lowercase__:   str  			=   output.decode('utf-8'     )
                     return output
       except subprocess.CalledProcessError as e:
              raise SubprocessCallException(
                  f'Command `{" ".join(_lowerCAmelCase     )}` failed with the following error:\n\n{e.output.decode()}'     ) from e







'''simple docstring'''





import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout





def 						__snake_case(				_lowerCAmelCase		)		-> Optional[int]:
      snake_case__  :    int    						=      FileLock(str(tmpdir / """foo.lock"""		)		)
      snake_case__  :    Dict    						=      FileLock(str(tmpdir / """foo.lock"""		)		)
      snake_case__  :    List[str]    						=      0.01
      with locka.acquire():
            with pytest.raises(_lowerCAmelCase		):
                  snake_case__  :    str    						=      time.time()
                  locka.acquire(_lowerCAmelCase		)
                  assert time.time() - _start > timeout





def 						__snake_case(				_lowerCAmelCase		)		-> Tuple:
      snake_case__  :    Dict    						=      """a""" * 1_000 + """.lock"""
      snake_case__  :    int    						=      FileLock(str(tmpdir / filename		)		)
      assert locka._lock_file.endswith(""".lock"""		)
      assert not locka._lock_file.endswith(_lowerCAmelCase		)
      assert len(os.path.basename(locka._lock_file		)		) <= 255
      snake_case__  :    Dict    						=      FileLock(tmpdir / filename		)
      with locka.acquire():
            with pytest.raises(_lowerCAmelCase		):
                  locka.acquire(0		)
