





'''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    __UpperCamelCase	(	a    : str					,   a    : Optional[Any]=False     ) ->Any:
 try:
  snake_case				=			os.environ[key]
 except KeyError:
  # KEY isn't set, default to `default`.
  snake_case				=			default
 else:
  # KEY is set, convert it to True or False.
  try:
   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


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

def    __UpperCamelCase	(	a    : Dict     ) ->List[str]:
 return unittest.skip('''Test was skipped'''     )(a     )

def    __UpperCamelCase	(	a    : List[str]     ) ->str:
 return unittest.skipUnless(_run_slow_tests					,   '''test is slow'''     )(a     )

def    __UpperCamelCase	(	a    : List[Any]     ) ->Dict:
 return unittest.skipUnless(not torch.cuda.is_available()					,   '''test requires only a CPU'''     )(a     )

def    __UpperCamelCase	(	a    : Optional[Any]     ) ->Dict:
 return unittest.skipUnless(torch.cuda.is_available()					,   '''test requires a GPU'''     )(a     )

def    __UpperCamelCase	(	a    : Any     ) ->Optional[int]:
 return unittest.skipUnless(is_xpu_available()					,   '''test requires a XPU'''     )(a     )

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

def    __UpperCamelCase	(	a    : Optional[Any]     ) ->Optional[Any]:
 return unittest.skipUnless(
     is_transformers_available() and is_datasets_available()					,   '''test requires the Hugging Face suite'''     )(a     )

def    __UpperCamelCase	(	a    : Dict     ) ->List[str]:
 return unittest.skipUnless(is_bnb_available()					,   '''test requires the bitsandbytes library'''     )(a     )

def    __UpperCamelCase	(	a    : str     ) ->List[Any]:
 return unittest.skipUnless(is_tpu_available()					,   '''test requires TPU'''     )(a     )

def    __UpperCamelCase	(	a    : int     ) ->Any:
 return unittest.skipUnless(torch.cuda.device_count() == 1					,   '''test requires a GPU'''     )(a     )

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

def    __UpperCamelCase	(	a    : Any     ) ->Dict:
 return unittest.skipUnless(torch.cuda.device_count() > 1					,   '''test requires multiple GPUs'''     )(a     )

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

def    __UpperCamelCase	(	a    : Tuple     ) ->int:
 return unittest.skipUnless(is_safetensors_available()					,   '''test requires safetensors'''     )(a     )

def    __UpperCamelCase	(	a    : Optional[Any]     ) ->Optional[int]:
 return unittest.skipUnless(is_deepspeed_available()					,   '''test requires DeepSpeed'''     )(a     )

def    __UpperCamelCase	(	a    : List[str]     ) ->Optional[Any]:
 return unittest.skipUnless(is_torch_version('''>='''					,   '''1.12.0'''     )					,   '''test requires torch version >= 1.12.0'''     )(a     )

def    __UpperCamelCase	(	a    : int=None					,   a    : Tuple=None     ) ->Optional[Any]:
 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    : Tuple     ) ->Tuple:
 return unittest.skipUnless(is_tensorboard_available()					,   '''test requires Tensorboard'''     )(a     )

def    __UpperCamelCase	(	a    : Dict     ) ->int:
 return unittest.skipUnless(is_wandb_available()					,   '''test requires wandb'''     )(a     )

def    __UpperCamelCase	(	a    : Optional[Any]     ) ->List[str]:
 return unittest.skipUnless(is_comet_ml_available()					,   '''test requires comet_ml'''     )(a     )


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

def    __UpperCamelCase	(	a    : str     ) ->Dict:
 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 			_lowercase						(       unittest.TestCase					):
     _UpperCAmelCase										=					True







     @classmethod
     def     UpperCamelCase			( cls    ) ->	List[Any]:
      snake_case				=			tempfile.mkdtemp()







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







     def     UpperCamelCase			( self    ) ->	List[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(A__    )




class 			_lowercase						(       unittest.TestCase					):







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




class 			_lowercase						(       unittest.TestCase					):







     def     UpperCamelCase			( self    ,   A__    ) ->	Optional[Any]:
      snake_case				=			mocks if isinstance(A__    ,   (tuple, list)    ) else [mocks]
      for m in self.mocks:
       m.start()
       self.addCleanup(m.stop    )




def    __UpperCamelCase	(	a    : List[Any]     ) ->Tuple:
 snake_case				=			AcceleratorState()
 snake_case				=			tensor[None].clone().to(state.device     )
 snake_case				=			gather(a     ).cpu()
 snake_case				=			tensor[0].cpu()
 for i in range(tensors.shape[0]     ):
  if not torch.equal(tensors[i]					,   a     ):
   return False
 return True
class 			_lowercase						:







     def __init__( self    ,   A__    ,   A__    ,   A__    ) ->	int:
      snake_case				=			returncode
      snake_case				=			stdout
      snake_case				=			stderr




async def    __UpperCamelCase	(	a    : Tuple					,   a    : int     ) ->List[str]:
 while True:
  snake_case				=			await stream.readline()
  if line:
   callback(a     )
  else:
   break

async def    __UpperCamelCase	(	a    : int					,   a    : Optional[Any]=None					,   a    : List[Any]=None					,   a    : Union[str, Any]=None					,   a    : Dict=False					,   a    : Optional[Any]=False     ) ->_RunOutput:
 if echo:
  print('''\nRunning: '''					,   ''' '''.join(a     )     )

 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)

 snake_case				=			[]
 snake_case				=			[]

 def tee(a    : Any					,   a    : Tuple					,   a    : List[Any]					,   a    : List[Any]=""     ):
  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    : Optional[int]					,   a    : Dict=None					,   a    : List[Any]=None					,   a    : Tuple=180					,   a    : Dict=False					,   a    : Optional[int]=True     ) ->_RunOutput:
 snake_case				=			asyncio.get_event_loop()
 snake_case				=			loop.run_until_complete(
     _stream_subprocess(a					,   env=a					,   stdin=a					,   timeout=a					,   quiet=a					,   echo=a     )     )

 snake_case				=			''' '''.join(a     )
 if result.returncode > 0:
  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 			_lowercase						(       __a					):
     pass




def    __UpperCamelCase	(	a    : List[str]					,   a    : Union[str, Any]=False     ) ->Union[str, Any]:
 try:
  snake_case				=			subprocess.check_output(a					,   stderr=subprocess.STDOUT     )
  if return_stdout:
   if hasattr(a					,   '''decode'''     ):
    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








'''simple docstring'''







from __future__ import annotations

from collections.abc import Iterator
class 			_lowercase						:







     def __init__( self    ,   A__    ) ->	None:
      snake_case				=			value
      snake_case				=			None
      snake_case				=			None




class 			_lowercase						:







     def __init__( self    ,   A__    ) ->	None:
      snake_case				=			tree







     def     UpperCamelCase			( self    ,   A__    ) ->	int:
      if node is None:
       return 0
      return node.value + (
          self.depth_first_search(node.left    ) + self.depth_first_search(node.right    )
      )







     def __iter__( self    ) ->	Iterator[int]:
      yield self.depth_first_search(self.tree    )


if __name__ == "__main__":
   import doctest

   doctest.testmod()

