

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     UpperCAmelCase_       (						_A				,		_A=False    ):





     '''simple docstring'''




     try:
          SCREAMING_SNAKE_CASE__   =   os.environ[key]
     except KeyError:
          # KEY isn't set, default to `default`.
          SCREAMING_SNAKE_CASE__   =   default
     else:
          # KEY is set, convert it to True or False.
          try:
               SCREAMING_SNAKE_CASE__   =   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


_SCREAMING_SNAKE_CASE					:  Dict             =      parse_flag_from_env('''RUN_SLOW''', default=False)
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skip('''Test was skipped'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(_run_slow_tests				,		'''test is slow'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(not torch.cuda.is_available()				,		'''test requires only a CPU'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(torch.cuda.is_available()				,		'''test requires a GPU'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(is_xpu_available()				,		'''test requires a XPU'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(is_mps_available()				,		'''test requires a `mps` backend support in `torch`'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(
         is_transformers_available() and is_datasets_available()				,		'''test requires the Hugging Face suite'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(is_bnb_available()				,		'''test requires the bitsandbytes library'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(is_tpu_available()				,		'''test requires TPU'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(torch.cuda.device_count() == 1				,		'''test requires a GPU'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(torch.xpu.device_count() == 1				,		'''test requires a XPU'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(torch.cuda.device_count() > 1				,		'''test requires multiple GPUs'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(torch.xpu.device_count() > 1				,		'''test requires multiple XPUs'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(is_safetensors_available()				,		'''test requires safetensors'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(is_deepspeed_available()				,		'''test requires DeepSpeed'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(is_torch_version('''>='''				,		'''1.12.0'''    )				,		'''test requires torch version >= 1.12.0'''    )(_A    )
def     UpperCAmelCase_       (						_A=None				,		_A=None    ):





     '''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     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(is_tensorboard_available()				,		'''test requires Tensorboard'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     return unittest.skipUnless(is_wandb_available()				,		'''test requires wandb'''    )(_A    )
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




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


_SCREAMING_SNAKE_CASE					:  Any             =      (
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)
def     UpperCAmelCase_       (						_A    ):





     '''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 	UpperCAmelCase__		(	unittest.TestCase	):






  """simple docstring"""


  a									= True






  @classmethod
  def 				lowercase_		(							cls						:		List[str] )		->							Tuple:
       SCREAMING_SNAKE_CASE__   =   tempfile.mkdtemp()






  @classmethod
  def 				lowercase_		(							cls						:		List[Any] )		->							List[str]:
       if os.path.exists(cls.tmpdir ):
            shutil.rmtree(cls.tmpdir )







  def 				lowercase_		(							self						:		Union[str, Any] )		->							Any:
       if self.clear_on_setup:
            for path in Path(self.tmpdir ).glob('''**/*''' ):
                 if path.is_file():
                      path.unlink()
                 elif path.is_dir():
                      shutil.rmtree(__lowerCamelCase )






class 	UpperCAmelCase__		(	unittest.TestCase	):






  """simple docstring"""


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






class 	UpperCAmelCase__		(	unittest.TestCase	):






  """simple docstring"""


  def 				lowercase_		(							self						:		Any     ,       __lowerCamelCase						:		Union[mock.Mock, List[mock.Mock]] )		->							int:
       SCREAMING_SNAKE_CASE__   =   mocks if isinstance(__lowerCamelCase     ,       (tuple, list) ) else [mocks]
       for m in self.mocks:
            m.start()
            self.addCleanup(m.stop )



def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__   =   AcceleratorState()
     SCREAMING_SNAKE_CASE__   =   tensor[None].clone().to(state.device    )
     SCREAMING_SNAKE_CASE__   =   gather(_A    ).cpu()
     SCREAMING_SNAKE_CASE__   =   tensor[0].cpu()
     for i in range(tensors.shape[0]    ):
          if not torch.equal(tensors[i]				,		_A    ):
               return False
     return True






class 	UpperCAmelCase__		:






  """simple docstring"""


  def __init__(							self						:		List[Any]     ,       __lowerCamelCase						:		Any     ,       __lowerCamelCase						:		List[Any]     ,       __lowerCamelCase						:		Any )		->							Union[str, Any]:
       SCREAMING_SNAKE_CASE__   =   returncode
       SCREAMING_SNAKE_CASE__   =   stdout
       SCREAMING_SNAKE_CASE__   =   stderr



async def     UpperCAmelCase_       (						_A				,		_A    ):





     '''simple docstring'''




     while True:
          SCREAMING_SNAKE_CASE__   =   await stream.readline()
          if line:
               callback(_A    )
          else:
               break
async def     UpperCAmelCase_       (						_A				,		_A=None				,		_A=None				,		_A=None				,		_A=False				,		_A=False    ):





     '''simple docstring'''




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

     SCREAMING_SNAKE_CASE__   =   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)

     SCREAMING_SNAKE_CASE__   =   []
     SCREAMING_SNAKE_CASE__   =   []

     def tee(_A				,		_A				,		_A				,		_A=""    ):
          SCREAMING_SNAKE_CASE__   =   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     UpperCAmelCase_       (						_A				,		_A=None				,		_A=None				,		_A=1_80				,		_A=False				,		_A=True    ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__   =   asyncio.get_event_loop()
     SCREAMING_SNAKE_CASE__   =   loop.run_until_complete(
         _stream_subprocess(_A				,		env=_A				,		stdin=_A				,		timeout=_A				,		quiet=_A				,		echo=_A    )    )

     SCREAMING_SNAKE_CASE__   =   ''' '''.join(_A    )
     if result.returncode > 0:
          SCREAMING_SNAKE_CASE__   =   '''\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 	UpperCAmelCase__		(	A__	):






  """simple docstring"""


  pass



def     UpperCAmelCase_       (						_A				,		_A=False    ):





     '''simple docstring'''




     try:
          SCREAMING_SNAKE_CASE__   =   subprocess.check_output(_A				,		stderr=subprocess.STDOUT    )
          if return_stdout:
               if hasattr(_A				,		'''decode'''    ):
                    SCREAMING_SNAKE_CASE__   =   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





from __future__ import annotations
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__   =   len(_A    ) // 2

     # choose the middle 3 elements
     SCREAMING_SNAKE_CASE__   =   lst[m - 1 : m + 2]

     # if middle element is peak
     if three[1] > three[0] and three[1] > three[2]:
          return three[1]

     # if increasing, recurse on right
     elif three[0] < three[2]:
          if len(lst[:m]    ) == 2:
               m -= 1
          return peak(lst[m:]    )

     # decreasing
     else:
          if len(lst[:m]    ) == 2:
               m += 1
          return peak(lst[:m]    )


if __name__ == "__main__":
       import doctest

       doctest.testmod()


