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  _lowerCamelCase					(   a_				: Optional[int]						,			a_				: Optional[int]=False):
			try:
						lowerCamelCase						:Dict						  =     os.environ[key]
			except KeyError:
						# KEY isn't set, default to `default`.
						lowerCamelCase						:List[Any]						  =     default
			else:
						# KEY is set, convert it to True or False.
						try:
									lowerCamelCase						:Tuple						  =     strtobool(__lowerCAmelCase)
						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


A__           =							parse_flag_from_env("""RUN_SLOW""", default=False)





def  _lowerCamelCase					(   a_				: Any):
			return unittest.skip('''Test was skipped''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Optional[Any]):
			return unittest.skipUnless(_run_slow_tests						,			'''test is slow''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Dict):
			return unittest.skipUnless(not torch.cuda.is_available()						,			'''test requires only a CPU''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Union[str, Any]):
			return unittest.skipUnless(torch.cuda.is_available()						,			'''test requires a GPU''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Union[str, Any]):
			return unittest.skipUnless(is_xpu_available()						,			'''test requires a XPU''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: List[str]):
			return unittest.skipUnless(is_mps_available()						,			'''test requires a `mps` backend support in `torch`''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: List[str]):
			return unittest.skipUnless(
			    is_transformers_available() and is_datasets_available()						,			'''test requires the Hugging Face suite''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: int):
			return unittest.skipUnless(is_bnb_available()						,			'''test requires the bitsandbytes library''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Union[str, Any]):
			return unittest.skipUnless(is_tpu_available()						,			'''test requires TPU''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Union[str, Any]):
			return unittest.skipUnless(torch.cuda.device_count() == 1						,			'''test requires a GPU''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Optional[int]):
			return unittest.skipUnless(torch.xpu.device_count() == 1						,			'''test requires a XPU''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Any):
			return unittest.skipUnless(torch.cuda.device_count() > 1						,			'''test requires multiple GPUs''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Dict):
			return unittest.skipUnless(torch.xpu.device_count() > 1						,			'''test requires multiple XPUs''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Union[str, Any]):
			return unittest.skipUnless(is_safetensors_available()						,			'''test requires safetensors''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Any):
			return unittest.skipUnless(is_deepspeed_available()						,			'''test requires DeepSpeed''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Any):
			return unittest.skipUnless(is_torch_version('''>='''						,			'''1.12.0''')						,			'''test requires torch version >= 1.12.0''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Any=None						,			a_				: Any=None):
			if test_case is None:
						return partial(__lowerCAmelCase						,			version=__lowerCAmelCase)
			return unittest.skipUnless(is_torch_version('''>='''						,			__lowerCAmelCase)						,			F"test requires torch version >= {version}")(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Tuple):
			return unittest.skipUnless(is_tensorboard_available()						,			'''test requires Tensorboard''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: Tuple):
			return unittest.skipUnless(is_wandb_available()						,			'''test requires wandb''')(__lowerCAmelCase)





def  _lowerCamelCase					(   a_				: str):
			return unittest.skipUnless(is_comet_ml_available()						,			'''test requires comet_ml''')(__lowerCAmelCase)


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





def  _lowerCamelCase					(   a_				: Tuple):
			return unittest.skipUnless(
			    _atleast_one_tracker_available						,			'''test requires at least one tracker to be available and for `comet_ml` to not be installed'''						,			)(__lowerCAmelCase)
class   _lowerCAmelCase		(     unittest.TestCase				):
							_UpperCAmelCase						    =     True







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







							@classmethod
							def 				snake_case  (				cls     :    Union[str, Any]		):


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







							def 				snake_case  (				self     :    str		):


										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   _lowerCAmelCase		(     unittest.TestCase				):







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


class   _lowerCAmelCase		(     unittest.TestCase				):







							def 				snake_case  (				self     :    Optional[Any]	,					__snake_case     :    Dict		):
										lowerCamelCase						:Union[str, Any]						  =     mocks if isinstance(_a	,					(tuple, list)		) else [mocks]
										for m in self.mocks:
													m.start()
													self.addCleanup(m.stop		)





def  _lowerCamelCase					(   a_				: Any):
			lowerCamelCase						:Optional[int]						  =     AcceleratorState()
			lowerCamelCase						:Union[str, Any]						  =     tensor[None].clone().to(state.device)
			lowerCamelCase						:Optional[Any]						  =     gather(__lowerCAmelCase).cpu()
			lowerCamelCase						:List[Any]						  =     tensor[0].cpu()
			for i in range(tensors.shape[0]):
						if not torch.equal(tensors[i]						,			__lowerCAmelCase):
									return False
			return True
class   _lowerCAmelCase		:







							def __init__(				self     :    List[str]	,					__snake_case     :    Tuple	,					__snake_case     :    int	,					__snake_case     :    List[str]		):
										lowerCamelCase						:Tuple						  =     returncode
										lowerCamelCase						:List[Any]						  =     stdout
										lowerCamelCase						:Tuple						  =     stderr





async def  _lowerCamelCase					(   a_				: int						,			a_				: List[Any]):
			while True:
						lowerCamelCase						:Optional[int]						  =     await stream.readline()
						if line:
									callback(__lowerCAmelCase)
						else:
									break





async def  _lowerCamelCase					(   a_				: List[Any]						,			a_				: Tuple=None						,			a_				: List[Any]=None						,			a_				: str=None						,			a_				: Tuple=False						,			a_				: Union[str, Any]=False):
			if echo:
						print('''\nRunning: '''						,			''' '''.join(__lowerCAmelCase))

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

			# 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						:Optional[int]						  =     []
			lowerCamelCase						:Union[str, Any]						  =     []

			def tee(a_				: Optional[Any]						,			a_				: List[Any]						,			a_				: Optional[Any]						,			a_				: Any=""):
						lowerCamelCase						:int						  =     line.decode('''utf-8''').rstrip()
						sink.append(__lowerCAmelCase)
						if not quiet:
									print(__lowerCAmelCase						,			__lowerCAmelCase						,			file=__lowerCAmelCase)

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





def  _lowerCamelCase					(   a_				: List[Any]						,			a_				: Union[str, Any]=None						,			a_				: List[Any]=None						,			a_				: Optional[Any]=1_80						,			a_				: List[str]=False						,			a_				: Any=True):
			lowerCamelCase						:Optional[int]						  =     asyncio.get_event_loop()
			lowerCamelCase						:Union[str, Any]						  =     loop.run_until_complete(
			    _stream_subprocess(__lowerCAmelCase						,			env=__lowerCAmelCase						,			stdin=__lowerCAmelCase						,			timeout=__lowerCAmelCase						,			quiet=__lowerCAmelCase						,			echo=__lowerCAmelCase))

			lowerCamelCase						:Any						  =     """ """.join(__lowerCAmelCase)
			if result.returncode > 0:
						lowerCamelCase						:int						  =     """\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   _lowerCAmelCase		(     UpperCamelCase_				):
							pass





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




def  _lowerCamelCase					(   a_				: str						,			a_				: str):
			lowerCamelCase						:List[str]						  =     len(a_)
			lowerCamelCase						:List[str]						  =     len(a_)
			lowerCamelCase						:int						  =     [[False for _ in range(m + 1)] for _ in range(n + 1)]
			lowerCamelCase						:Optional[Any]						  =     True
			for i in range(a_):
						for j in range(m + 1):
									if dp[i][j]:
												if j < m and a[i].upper() == b[j]:
															lowerCamelCase						:Any						  =     True
												if a[i].islower():
															lowerCamelCase						:List[str]						  =     True
			return dp[n][m]


if __name__ == "__main__":
			import doctest

			doctest.testmod()



