'''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__			,      a__=False      ):


						'''simple docstring'''






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


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__=None			,      a__=None      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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


lowercase_     		= (
    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'			,      )(_SCREAMING_SNAKE_CASE      )
class   SCREAMING_SNAKE_CASE			(						unittest.TestCase):







		"""simple docstring"""
		lowercase   :      Tuple       =							True






		@classmethod
		def 		UpperCamelCase__       (   cls				) ->     str:
								_lowerCAmelCase										=tempfile.mkdtemp()






		@classmethod
		def 		UpperCamelCase__       (   cls				) ->     Any:



								if os.path.exists(cls.tmpdir				):
														shutil.rmtree(cls.tmpdir				)






		def 		UpperCamelCase__       (   self				) ->     Optional[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(UpperCAmelCase_				)

class   SCREAMING_SNAKE_CASE			(						unittest.TestCase):







		"""simple docstring"""






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

class   SCREAMING_SNAKE_CASE			(						unittest.TestCase):







		"""simple docstring"""






		def 		UpperCamelCase__       (   self		,						__A				) ->     str:
								_lowerCAmelCase										=mocks if isinstance(UpperCAmelCase_		,						(tuple, list)				) else [mocks]
								for m in self.mocks:
														m.start()
														self.addCleanup(m.stop				)



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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







		"""simple docstring"""






		def __init__(   self		,						__A		,						__A		,						__A				) ->     Any:
								_lowerCAmelCase										=returncode
								_lowerCAmelCase										=stdout
								_lowerCAmelCase										=stderr



async def 							UpperCamelCase__			(			a__			,      a__      ):


						'''simple docstring'''






						while True:
												_lowerCAmelCase										=await stream.readline()
												if line:
																		callback(_SCREAMING_SNAKE_CASE      )
												else:
																		break



async def 							UpperCamelCase__			(			a__			,      a__=None			,      a__=None			,      a__=None			,      a__=False			,      a__=False      ):


						'''simple docstring'''






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

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

						# 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)

						_lowerCAmelCase										=[]
						_lowerCAmelCase										=[]

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

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



def 							UpperCamelCase__			(			a__			,      a__=None			,      a__=None			,      a__=1_8_0			,      a__=False			,      a__=True      ):


						'''simple docstring'''






						_lowerCAmelCase										=asyncio.get_event_loop()
						_lowerCAmelCase										=loop.run_until_complete(
						    _stream_subprocess(_SCREAMING_SNAKE_CASE			,      env=_SCREAMING_SNAKE_CASE			,      stdin=_SCREAMING_SNAKE_CASE			,      timeout=_SCREAMING_SNAKE_CASE			,      quiet=_SCREAMING_SNAKE_CASE			,      echo=_SCREAMING_SNAKE_CASE      )      )

						_lowerCAmelCase										=' '.join(_SCREAMING_SNAKE_CASE      )
						if result.returncode > 0:
												_lowerCAmelCase										='\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			(						snake_case__):







		"""simple docstring"""
		pass



def 							UpperCamelCase__			(			a__			,      a__=False      ):


						'''simple docstring'''






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






'''simple docstring'''

from __future__ import annotations

lowercase_     		= 10



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






						_lowerCAmelCase										=1
						_lowerCAmelCase										=max(a__      )
						while placement <= max_digit:
												# declare and initialize empty buckets
												_lowerCAmelCase										=[[] for _ in range(a__      )]
												# split list_of_ints between the buckets
												for i in list_of_ints:
																		_lowerCAmelCase										=int((i / placement) % RADIX      )
																		buckets[tmp].append(a__      )
												# put each buckets' contents into list_of_ints
												_lowerCAmelCase										=0
												for b in range(a__      ):
																		for i in buckets[b]:
																								_lowerCAmelCase										=i
																								a += 1
        # move to next
												placement *= RADIX
						return list_of_ints


if __name__ == "__main__":
							import doctest

							doctest.testmod()





