





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__				(							UpperCamelCase__:				Dict       , UpperCamelCase__:				int=False     ):
		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(UpperCamelCase__     )
				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


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






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Optional[Any]     ):
		return unittest.skip("""Test was skipped"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Any     ):
		return unittest.skipUnless(_run_slow_tests       , """test is slow"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				List[Any]     ):
		return unittest.skipUnless(not torch.cuda.is_available()       , """test requires only a CPU"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				int     ):
		return unittest.skipUnless(torch.cuda.is_available()       , """test requires a GPU"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Any     ):
		return unittest.skipUnless(is_xpu_available()       , """test requires a XPU"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Dict     ):
		return unittest.skipUnless(is_mps_available()       , """test requires a `mps` backend support in `torch`"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Optional[int]     ):
		return unittest.skipUnless(
		    is_transformers_available() and is_datasets_available()       , """test requires the Hugging Face suite"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				str     ):
		return unittest.skipUnless(is_bnb_available()       , """test requires the bitsandbytes library"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Dict     ):
		return unittest.skipUnless(is_tpu_available()       , """test requires TPU"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Tuple     ):
		return unittest.skipUnless(torch.cuda.device_count() == 1       , """test requires a GPU"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				int     ):
		return unittest.skipUnless(torch.xpu.device_count() == 1       , """test requires a XPU"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Any     ):
		return unittest.skipUnless(torch.cuda.device_count() > 1       , """test requires multiple GPUs"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Dict     ):
		return unittest.skipUnless(torch.xpu.device_count() > 1       , """test requires multiple XPUs"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Optional[int]     ):
		return unittest.skipUnless(is_safetensors_available()       , """test requires safetensors"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				List[str]     ):
		return unittest.skipUnless(is_deepspeed_available()       , """test requires DeepSpeed"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Any     ):
		return unittest.skipUnless(is_torch_version(""">="""       , """1.12.0"""     )       , """test requires torch version >= 1.12.0"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				List[Any]=None       , UpperCamelCase__:				str=None     ):
		if test_case is None:
				return partial(UpperCamelCase__       , version=UpperCamelCase__     )
		return unittest.skipUnless(is_torch_version(""">="""       , UpperCamelCase__     )       , f'''test requires torch version >= {version}'''     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				List[str]     ):
		return unittest.skipUnless(is_tensorboard_available()       , """test requires Tensorboard"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Dict     ):
		return unittest.skipUnless(is_wandb_available()       , """test requires wandb"""     )(UpperCamelCase__     )






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Dict     ):
		return unittest.skipUnless(is_comet_ml_available()       , """test requires comet_ml"""     )(UpperCamelCase__     )


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






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Any     ):
		return unittest.skipUnless(
		    _atleast_one_tracker_available       , """test requires at least one tracker to be available and for `comet_ml` to not be installed"""       , )(UpperCamelCase__     )




class 	UpperCamelCase_							(  unittest.TestCase     ):
							lowerCamelCase_							     =       True


							@classmethod
							def   _snake_case	(				cls     :int		) -> str:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   tempfile.mkdtemp()


							@classmethod
							def   _snake_case	(				cls     :Optional[int]		) -> Tuple:



									"""simple docstring"""



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


							def   _snake_case	(				self     :Optional[int]		) -> Optional[int]:



									"""simple docstring"""



									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 	UpperCamelCase_							(  unittest.TestCase     ):


							def   _snake_case	(				self     :str		) -> Optional[Any]:



									"""simple docstring"""



									super().tearDown()
									# Reset the state of the AcceleratorState singleton.
									AcceleratorState._reset_state()
									PartialState._reset_state()




class 	UpperCamelCase_							(  unittest.TestCase     ):


							def   _snake_case	(				self     :Dict				,					__A     :Union[mock.Mock, List[mock.Mock]]		) -> Dict:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   mocks if isinstance(__A				,					(tuple, list)		) else [mocks]
									for m in self.mocks:
											m.start()
											self.addCleanup(m.stop		)






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




class 	UpperCamelCase_							:


							def __init__(				self     :Any				,					__A     :Optional[Any]				,					__A     :int				,					__A     :Tuple		) -> Any:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   returncode
									SCREAMING_SNAKE_CASE__								=   stdout
									SCREAMING_SNAKE_CASE__								=   stderr






async def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				str       , UpperCamelCase__:				int     ):
		while True:
				SCREAMING_SNAKE_CASE__								=   await stream.readline()
				if line:
						callback(UpperCamelCase__     )
				else:
						break






async def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				int       , UpperCamelCase__:				Tuple=None       , UpperCamelCase__:				Optional[Any]=None       , UpperCamelCase__:				str=None       , UpperCamelCase__:				Tuple=False       , UpperCamelCase__:				Union[str, Any]=False     ):
		if echo:
				print("""\nRunning: """       , """ """.join(UpperCamelCase__     )     )

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

		# 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(UpperCamelCase__:				Union[str, Any]       , UpperCamelCase__:				Tuple       , UpperCamelCase__:				Dict       , UpperCamelCase__:				str=""     ):
				SCREAMING_SNAKE_CASE__								=   line.decode("""utf-8"""     ).rstrip()
				sink.append(UpperCamelCase__     )
				if not quiet:
						print(UpperCamelCase__       , UpperCamelCase__       , file=UpperCamelCase__     )

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






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				List[Any]       , UpperCamelCase__:				Optional[Any]=None       , UpperCamelCase__:				List[Any]=None       , UpperCamelCase__:				Union[str, Any]=180       , UpperCamelCase__:				Optional[int]=False       , UpperCamelCase__:				str=True     ):
		SCREAMING_SNAKE_CASE__								=   asyncio.get_event_loop()
		SCREAMING_SNAKE_CASE__								=   loop.run_until_complete(
		    _stream_subprocess(UpperCamelCase__       , env=UpperCamelCase__       , stdin=UpperCamelCase__       , timeout=UpperCamelCase__       , quiet=UpperCamelCase__       , echo=UpperCamelCase__     )     )

		SCREAMING_SNAKE_CASE__								=   """ """.join(UpperCamelCase__     )
		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_							(  UpperCamelCase__     ):
							pass






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






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				List[str]     ):
		SCREAMING_SNAKE_CASE__								=   len(UpperCamelCase__     )
		SCREAMING_SNAKE_CASE__								=   sum(UpperCamelCase__     )

		SCREAMING_SNAKE_CASE__								=   [[False for x in range(s + 1     )] for y in range(n + 1     )]

		for i in range(1       , n + 1     ):
				SCREAMING_SNAKE_CASE__								=   True

		for i in range(1       , s + 1     ):
				SCREAMING_SNAKE_CASE__								=   False

		for i in range(1       , n + 1     ):
				for j in range(1       , s + 1     ):
						SCREAMING_SNAKE_CASE__								=   dp[i][j - 1]

						if arr[i - 1] <= j:
								SCREAMING_SNAKE_CASE__								=   dp[i][j] or dp[i - 1][j - arr[i - 1]]

		for j in range(int(s / 2     )       , -1       , -1     ):
				if dp[n][j] is True:
						SCREAMING_SNAKE_CASE__								=   s - 2 * j
						break

		return diff