


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      )	->   Dict:
      try:
            a__	:  str     =   os.environ[key]
      except KeyError:
            # KEY isn't set, default to `default`.
            a__	:  Tuple     =   default
      else:
            # KEY is set, convert it to True or False.
            try:
                  a__	:  int     =   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 UpperCamelCase_				(				__a      )	->   Dict:
      return unittest.skip("Test was skipped"      )(__a      )



def UpperCamelCase_				(				__a      )	->   Union[str, Any]:
      return unittest.skipUnless(_run_slow_tests			,				"test is slow"      )(__a      )



def UpperCamelCase_				(				__a      )	->   int:
      return unittest.skipUnless(not torch.cuda.is_available()			,				"test requires only a CPU"      )(__a      )



def UpperCamelCase_				(				__a      )	->   Optional[int]:
      return unittest.skipUnless(torch.cuda.is_available()			,				"test requires a GPU"      )(__a      )



def UpperCamelCase_				(				__a      )	->   Tuple:
      return unittest.skipUnless(is_xpu_available()			,				"test requires a XPU"      )(__a      )



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



def UpperCamelCase_				(				__a      )	->   Dict:
      return unittest.skipUnless(
          is_transformers_available() and is_datasets_available()			,				"test requires the Hugging Face suite"      )(__a      )



def UpperCamelCase_				(				__a      )	->   int:
      return unittest.skipUnless(is_bnb_available()			,				"test requires the bitsandbytes library"      )(__a      )



def UpperCamelCase_				(				__a      )	->   Any:
      return unittest.skipUnless(is_tpu_available()			,				"test requires TPU"      )(__a      )



def UpperCamelCase_				(				__a      )	->   Any:
      return unittest.skipUnless(torch.cuda.device_count() == 1			,				"test requires a GPU"      )(__a      )



def UpperCamelCase_				(				__a      )	->   Tuple:
      return unittest.skipUnless(torch.xpu.device_count() == 1			,				"test requires a XPU"      )(__a      )



def UpperCamelCase_				(				__a      )	->   Dict:
      return unittest.skipUnless(torch.cuda.device_count() > 1			,				"test requires multiple GPUs"      )(__a      )



def UpperCamelCase_				(				__a      )	->   List[Any]:
      return unittest.skipUnless(torch.xpu.device_count() > 1			,				"test requires multiple XPUs"      )(__a      )



def UpperCamelCase_				(				__a      )	->   Union[str, Any]:
      return unittest.skipUnless(is_safetensors_available()			,				"test requires safetensors"      )(__a      )



def UpperCamelCase_				(				__a      )	->   Union[str, Any]:
      return unittest.skipUnless(is_deepspeed_available()			,				"test requires DeepSpeed"      )(__a      )



def UpperCamelCase_				(				__a      )	->   Optional[int]:
      return unittest.skipUnless(is_torch_version(">="			,				"1.12.0"      )			,				"test requires torch version >= 1.12.0"      )(__a      )



def UpperCamelCase_				(				__a=None			,				__a=None      )	->   List[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      )	->   str:
      return unittest.skipUnless(is_tensorboard_available()			,				"test requires Tensorboard"      )(__a      )



def UpperCamelCase_				(				__a      )	->   Optional[Any]:
      return unittest.skipUnless(is_wandb_available()			,				"test requires wandb"      )(__a      )



def UpperCamelCase_				(				__a      )	->   Any:
      return unittest.skipUnless(is_comet_ml_available()			,				"test requires comet_ml"      )(__a      )


UpperCamelCase					:       int			    =     (
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)



def UpperCamelCase_				(				__a      )	->   List[str]:
      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 A__     ( unittest.TestCase  ):



  """simple docstring"""



  _lowercase									=		True

  @classmethod
  def    _UpperCamelCase( cls			:  Optional[int]       ):
        a__	:  Any     =   tempfile.mkdtemp()

  @classmethod
  def    _UpperCamelCase( cls			:  List[str]       ):
        if os.path.exists(cls.tmpdir       ):
              shutil.rmtree(cls.tmpdir       )

  def    _UpperCamelCase( self			:  Union[str, 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 A__     ( unittest.TestCase  ):



  """simple docstring"""



  def    _UpperCamelCase( 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    _UpperCamelCase( self			:  Optional[Any]				,				lowerCamelCase__			:  Union[mock.Mock, List[mock.Mock]]       ):
        a__	:  List[Any]     =   mocks if isinstance(lowerCamelCase__				,				(tuple, list)       ) else [mocks]
        for m in self.mocks:
              m.start()
              self.addCleanup(m.stop       )




def UpperCamelCase_				(				__a      )	->   Any:
      a__	:  str     =   AcceleratorState()
      a__	:  Dict     =   tensor[None].clone().to(state.device      )
      a__	:  Tuple     =   gather(__a      ).cpu()
      a__	:  List[Any]     =   tensor[0].cpu()
      for i in range(tensors.shape[0]      ):
            if not torch.equal(tensors[i]			,				__a      ):
                  return False
      return True



class A__     :



  """simple docstring"""



  def __init__( self			:  Tuple				,				lowerCamelCase__			:  int				,				lowerCamelCase__			:  Tuple				,				lowerCamelCase__			:  Optional[int]       ):
        a__	:  Tuple     =   returncode
        a__	:  Optional[int]     =   stdout
        a__	:  Tuple     =   stderr




async def UpperCamelCase_				(				__a			,				__a      )	->   int:
      while True:
            a__	:  int     =   await stream.readline()
            if line:
                  callback(__a      )
            else:
                  break



async def UpperCamelCase_				(				__a			,				__a=None			,				__a=None			,				__a=None			,				__a=False			,				__a=False      )	->   _RunOutput:
      if echo:
            print("\nRunning: "			,				" ".join(__a      )      )

      a__	:  str     =   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[Any]     =   []
      a__	:  Tuple     =   []

      def tee(__a			,				__a			,				__a			,				__a=""      ):
            a__	:  str     =   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=180			,				__a=False			,				__a=True      )	->   _RunOutput:
      a__	:  str     =   asyncio.get_event_loop()
      a__	:  List[str]     =   loop.run_until_complete(
          _stream_subprocess(__a			,				env=__a			,				stdin=__a			,				timeout=__a			,				quiet=__a			,				echo=__a      )      )

      a__	:  List[Any]     =   " ".join(__a      )
      if result.returncode > 0:
            a__	:  Union[str, Any]     =   "\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 UpperCamelCase_				(				__a			,				__a=False      )	->   int:
      try:
            a__	:  List[Any]     =   subprocess.check_output(__a			,				stderr=subprocess.STDOUT      )
            if return_stdout:
                  if hasattr(__a			,				"decode"      ):
                        a__	:  Optional[int]     =   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

SCREAMING_SNAKE_CASE		:     Tuple         =	1.6_021E-19  # units = C






def     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				float		, _SCREAMING_SNAKE_CASE     :				float		, _SCREAMING_SNAKE_CASE     :				float		, ):
						if (conductivity, electron_conc, mobility).count(0			) != 1:
												raise ValueError("""You cannot supply more or less than 2 values"""			)
						elif conductivity < 0:
												raise ValueError("""Conductivity cannot be negative"""			)
						elif electron_conc < 0:
												raise ValueError("""Electron concentration cannot be negative"""			)
						elif mobility < 0:
												raise ValueError("""mobility cannot be negative"""			)
						elif conductivity == 0:
												return (
												    "conductivity",
												    mobility * electron_conc * ELECTRON_CHARGE,
												)
						elif electron_conc == 0:
												return (
												    "electron_conc",
												    conductivity / (mobility * ELECTRON_CHARGE),
												)
						else:
												return (
												    "mobility",
												    conductivity / (electron_conc * ELECTRON_CHARGE),
												)


if __name__ == "__main__":
	import doctest

	doctest.testmod()






