


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  SCREAMING_SNAKE_CASE_		(    __A				:    Optional[Any]						,					__A				:    List[Any]=False       )			->	Optional[Any]:

       """simple docstring"""

       try:
              a_      :	Tuple							=						os.environ[key]
       except KeyError:
              # KEY isn't set, default to `default`.
              a_      :	str							=						default
       else:
              # KEY is set, convert it to True or False.
              try:
                     a_      :	List[Any]							=						strtobool(__A       )
              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_   :				int						      = parse_flag_from_env('RUN_SLOW', default=False)







def  SCREAMING_SNAKE_CASE_		(    __A				:    int       )			->	Optional[int]:

       """simple docstring"""

       return unittest.skip('Test was skipped'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    Tuple       )			->	Optional[int]:

       """simple docstring"""

       return unittest.skipUnless(_run_slow_tests						,					'test is slow'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    str       )			->	Optional[int]:

       """simple docstring"""

       return unittest.skipUnless(not torch.cuda.is_available()						,					'test requires only a CPU'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    Union[str, Any]       )			->	List[Any]:

       """simple docstring"""

       return unittest.skipUnless(torch.cuda.is_available()						,					'test requires a GPU'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    Optional[int]       )			->	str:

       """simple docstring"""

       return unittest.skipUnless(is_xpu_available()						,					'test requires a XPU'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    str       )			->	List[str]:

       """simple docstring"""

       return unittest.skipUnless(is_mps_available()						,					'test requires a `mps` backend support in `torch`'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    List[Any]       )			->	Optional[Any]:

       """simple docstring"""

       return unittest.skipUnless(
           is_transformers_available() and is_datasets_available()						,					'test requires the Hugging Face suite'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    Any       )			->	str:

       """simple docstring"""

       return unittest.skipUnless(is_bnb_available()						,					'test requires the bitsandbytes library'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    Any       )			->	Union[str, Any]:

       """simple docstring"""

       return unittest.skipUnless(is_tpu_available()						,					'test requires TPU'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    Dict       )			->	Tuple:

       """simple docstring"""

       return unittest.skipUnless(torch.cuda.device_count() == 1						,					'test requires a GPU'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    Union[str, Any]       )			->	int:

       """simple docstring"""

       return unittest.skipUnless(torch.xpu.device_count() == 1						,					'test requires a XPU'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    int       )			->	Union[str, Any]:

       """simple docstring"""

       return unittest.skipUnless(torch.cuda.device_count() > 1						,					'test requires multiple GPUs'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    Tuple       )			->	Any:

       """simple docstring"""

       return unittest.skipUnless(torch.xpu.device_count() > 1						,					'test requires multiple XPUs'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    str       )			->	str:

       """simple docstring"""

       return unittest.skipUnless(is_safetensors_available()						,					'test requires safetensors'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    List[str]       )			->	Tuple:

       """simple docstring"""

       return unittest.skipUnless(is_deepspeed_available()						,					'test requires DeepSpeed'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    Union[str, Any]       )			->	int:

       """simple docstring"""

       return unittest.skipUnless(is_torch_version('>='						,					'1.12.0'       )						,					'test requires torch version >= 1.12.0'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    Tuple=None						,					__A				:    Tuple=None       )			->	Optional[Any]:

       """simple docstring"""

       if test_case is None:
              return partial(__A						,					version=__A       )
       return unittest.skipUnless(is_torch_version('>='						,					__A       )						,					F"""test requires torch version >= {version}"""       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    List[Any]       )			->	str:

       """simple docstring"""

       return unittest.skipUnless(is_tensorboard_available()						,					'test requires Tensorboard'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    Dict       )			->	List[str]:

       """simple docstring"""

       return unittest.skipUnless(is_wandb_available()						,					'test requires wandb'       )(__A       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    int       )			->	str:

       """simple docstring"""

       return unittest.skipUnless(is_comet_ml_available()						,					'test requires comet_ml'       )(__A       )


UpperCAmelCase_   :				List[str]						      = (
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)







def  SCREAMING_SNAKE_CASE_		(    __A				:    Union[str, Any]       )			->	Any:

       """simple docstring"""

       return unittest.skipUnless(
           _atleast_one_tracker_available						,					'test requires at least one tracker to be available and for `comet_ml` to not be installed'						,					)(__A       )
class 				SCREAMING_SNAKE_CASE__						(       unittest.TestCase    ):
      snake_case__       :  Optional[Any]       =		True
      @classmethod
      def  SCREAMING_SNAKE_CASE							( cls       : List[str]  )	->    Dict:
             a_      :	Dict							=						tempfile.mkdtemp()
      @classmethod
      def  SCREAMING_SNAKE_CASE							( cls       : List[Any]  )	->    List[str]:
             if os.path.exists(cls.tmpdir  ):
                    shutil.rmtree(cls.tmpdir  )

      def  SCREAMING_SNAKE_CASE							( self       : int  )	->    Dict:
             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 				SCREAMING_SNAKE_CASE__						(       unittest.TestCase    ):
      def  SCREAMING_SNAKE_CASE							( self       : List[Any]  )	->    Union[str, Any]:
             super().tearDown()
             # Reset the state of the AcceleratorState singleton.
             AcceleratorState._reset_state()
             PartialState._reset_state()
class 				SCREAMING_SNAKE_CASE__						(       unittest.TestCase    ):
      def  SCREAMING_SNAKE_CASE							( self       : Any  ,							SCREAMING_SNAKE_CASE__       : Union[mock.Mock, List[mock.Mock]]  )	->    Union[str, Any]:
             a_      :	Tuple							=						mocks if isinstance(SCREAMING_SNAKE_CASE__  ,							(tuple, list)  ) else [mocks]
             for m in self.mocks:
                    m.start()
                    self.addCleanup(m.stop  )







def  SCREAMING_SNAKE_CASE_		(    __A				:    List[Any]       )			->	Any:

       """simple docstring"""

       a_      :	List[Any]							=						AcceleratorState()
       a_      :	Optional[int]							=						tensor[None].clone().to(state.device       )
       a_      :	Union[str, Any]							=						gather(__A       ).cpu()
       a_      :	Optional[Any]							=						tensor[0].cpu()
       for i in range(tensors.shape[0]       ):
              if not torch.equal(tensors[i]						,					__A       ):
                     return False
       return True
class 				SCREAMING_SNAKE_CASE__						:
      def __init__( self       : int  ,							SCREAMING_SNAKE_CASE__       : Dict  ,							SCREAMING_SNAKE_CASE__       : Optional[Any]  ,							SCREAMING_SNAKE_CASE__       : Union[str, Any]  )	->    str:
             a_      :	Tuple							=						returncode
             a_      :	str							=						stdout
             a_      :	List[str]							=						stderr







async def  SCREAMING_SNAKE_CASE_		(    __A				:    Dict						,					__A				:    int       )			->	Tuple:

       """simple docstring"""

       while True:
              a_      :	Dict							=						await stream.readline()
              if line:
                     callback(__A       )
              else:
                     break







async def  SCREAMING_SNAKE_CASE_		(    __A				:    Union[str, Any]						,					__A				:    Optional[Any]=None						,					__A				:    Any=None						,					__A				:    List[str]=None						,					__A				:    List[Any]=False						,					__A				:    Any=False       )			->	_RunOutput:

       """simple docstring"""

       if echo:
              print('\nRunning: '						,					' '.join(__A       )       )

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

       # 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)

       a_      :	Optional[int]							=						[]
       a_      :	List[str]							=						[]

       def tee(__A				:    Optional[int]						,					__A				:    str						,					__A				:    Optional[int]						,					__A				:    Optional[int]=""       ):
              a_      :	Dict							=						line.decode('utf-8'       ).rstrip()
              sink.append(__A       )
              if not quiet:
                     print(__A						,					__A						,					file=__A       )

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







def  SCREAMING_SNAKE_CASE_		(    __A				:    str						,					__A				:    str=None						,					__A				:    Tuple=None						,					__A				:    Any=1_80						,					__A				:    Dict=False						,					__A				:    Tuple=True       )			->	_RunOutput:

       """simple docstring"""

       a_      :	List[Any]							=						asyncio.get_event_loop()
       a_      :	Optional[Any]							=						loop.run_until_complete(
           _stream_subprocess(__A						,					env=__A						,					stdin=__A						,					timeout=__A						,					quiet=__A						,					echo=__A       )       )

       a_      :	Dict							=						' '.join(__A       )
       if result.returncode > 0:
              a_      :	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 				SCREAMING_SNAKE_CASE__						(       lowercase__    ):
      pass







def  SCREAMING_SNAKE_CASE_		(    __A				:    List[str]						,					__A				:    Any=False       )			->	int:

       """simple docstring"""

       try:
              a_      :	Any							=						subprocess.check_output(__A						,					stderr=subprocess.STDOUT       )
              if return_stdout:
                     if hasattr(__A						,					'decode'       ):
                            a_      :	Union[str, Any]							=						output.decode('utf-8'       )
                     return output
       except subprocess.CalledProcessError as e:
              raise SubprocessCallException(
                  F"""Command `{" ".join(__A       )}` failed with the following error:\n\n{e.output.decode()}"""       ) from e






def  SCREAMING_SNAKE_CASE_		(    __A				:    int       )			->	bool:

       """simple docstring"""

       a_      :	List[Any]							=						n ** (1 / 3)
       return (val * val * val) == n


if __name__ == "__main__":
   print(perfect_cube(27))
   print(perfect_cube(4))


