






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 					lowercase__				(					__snake_case   :							Optional[Any]					,	__snake_case   :							Tuple=False  ):


					'''simple docstring'''


					try:
										UpperCAmelCase_   :				Union[str, Any]						=						os.environ[key]
					except KeyError:
										# KEY isn't set, default to `default`.
										UpperCAmelCase_   :				List[Any]						=						default
					else:
										# KEY is set, convert it to True or False.
										try:
															UpperCAmelCase_   :				Optional[int]						=						strtobool(__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


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




def 					lowercase__				(					__snake_case   :							Union[str, Any]  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							Optional[int]  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							Optional[int]  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							Optional[int]  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							Optional[int]  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							Tuple  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							Union[str, Any]  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							Tuple  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							int  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							int  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							Tuple  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							Dict  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							Any  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							Optional[int]  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							Union[str, Any]  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							List[Any]  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							str=None					,	__snake_case   :							List[str]=None  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							Any  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							Optional[Any]  ):


					'''simple docstring'''


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




def 					lowercase__				(					__snake_case   :							int  ):


					'''simple docstring'''


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


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




def 					lowercase__				(					__snake_case   :							int  ):


					'''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'					,	)(__snake_case  )



class   lowerCamelCase				(unittest.TestCase      ):







		'''simple docstring'''



		_snake_case   :   Any							=  True



		@classmethod
		def  __UpperCAmelCase      (							cls       )     ->							Union[str, Any]:
							UpperCAmelCase_   :				str						=						tempfile.mkdtemp()



		@classmethod
		def  __UpperCAmelCase      (							cls       )     ->							List[Any]:
							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(_UpperCamelCase       )





class   lowerCamelCase				(unittest.TestCase      ):







		'''simple docstring'''



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





class   lowerCamelCase				(unittest.TestCase      ):







		'''simple docstring'''



		def  __UpperCAmelCase      (							self    ,		_UpperCamelCase       )     ->							Optional[int]:
							UpperCAmelCase_   :				Any						=						mocks if isinstance(_UpperCamelCase    ,		(tuple, list)       ) else [mocks]
							for m in self.mocks:
												m.start()
												self.addCleanup(m.stop       )





def 					lowercase__				(					__snake_case   :							Optional[Any]  ):


					'''simple docstring'''


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



class   lowerCamelCase				:







		'''simple docstring'''



		def __init__(							self    ,		_UpperCamelCase    ,		_UpperCamelCase    ,		_UpperCamelCase       )     ->							Any:
							UpperCAmelCase_   :				List[str]						=						returncode
							UpperCAmelCase_   :				Optional[int]						=						stdout
							UpperCAmelCase_   :				Dict						=						stderr





async def 					lowercase__				(					__snake_case   :							str					,	__snake_case   :							Tuple  ):


					'''simple docstring'''


					while True:
										UpperCAmelCase_   :				Any						=						await stream.readline()
										if line:
															callback(__snake_case  )
										else:
															break




async def 					lowercase__				(					__snake_case   :							List[Any]					,	__snake_case   :							Dict=None					,	__snake_case   :							Any=None					,	__snake_case   :							Optional[int]=None					,	__snake_case   :							Dict=False					,	__snake_case   :							List[Any]=False  ):


					'''simple docstring'''


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

					UpperCAmelCase_   :				Optional[int]						=						await asyncio.create_subprocess_exec(
					    cmd[0]					,	*cmd[1:]					,	stdin=__snake_case					,	stdout=asyncio.subprocess.PIPE					,	stderr=asyncio.subprocess.PIPE					,	env=__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)

					UpperCAmelCase_   :				List[str]						=						[]
					UpperCAmelCase_   :				List[str]						=						[]

					def tee(__snake_case   :							Dict					,	__snake_case   :							Any					,	__snake_case   :							Optional[Any]					,	__snake_case   :							Union[str, Any]=""  ):
										UpperCAmelCase_   :				Optional[int]						=						line.decode('utf-8'  ).rstrip()
										sink.append(__snake_case  )
										if not quiet:
															print(__snake_case					,	__snake_case					,	file=__snake_case  )

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




def 					lowercase__				(					__snake_case   :							List[str]					,	__snake_case   :							str=None					,	__snake_case   :							Dict=None					,	__snake_case   :							Dict=180					,	__snake_case   :							str=False					,	__snake_case   :							Tuple=True  ):


					'''simple docstring'''


					UpperCAmelCase_   :				int						=						asyncio.get_event_loop()
					UpperCAmelCase_   :				Dict						=						loop.run_until_complete(
					    _stream_subprocess(__snake_case					,	env=__snake_case					,	stdin=__snake_case					,	timeout=__snake_case					,	quiet=__snake_case					,	echo=__snake_case  )  )

					UpperCAmelCase_   :				List[Any]						=						' '.join(__snake_case  )
					if result.returncode > 0:
										UpperCAmelCase_   :				Optional[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   lowerCamelCase				(_snake_case      ):







		'''simple docstring'''



		pass





def 					lowercase__				(					__snake_case   :							List[str]					,	__snake_case   :							List[str]=False  ):


					'''simple docstring'''


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














def 					lowercase__				(					__snake_case   :							int  ):


					'''simple docstring'''


					UpperCAmelCase_   :				Tuple						=						[1]

					UpperCAmelCase_	,  UpperCAmelCase_	,  UpperCAmelCase_   :				Tuple						=						0, 0, 0
					UpperCAmelCase_   :				Union[str, Any]						=						ugly_nums[ia] * 2
					UpperCAmelCase_   :				Tuple						=						ugly_nums[ia] * 3
					UpperCAmelCase_   :				Union[str, Any]						=						ugly_nums[ia] * 5

					for _ in range(1					,	__snake_case  ):
										UpperCAmelCase_   :				Tuple						=						min(__snake_case					,	__snake_case					,	__snake_case  )
										ugly_nums.append(__snake_case  )
										if next_num == next_a:
															ia += 1
															UpperCAmelCase_   :				Union[str, Any]						=						ugly_nums[ia] * 2
										if next_num == next_a:
															ia += 1
															UpperCAmelCase_   :				Any						=						ugly_nums[ia] * 3
										if next_num == next_a:
															ia += 1
															UpperCAmelCase_   :				List[str]						=						ugly_nums[ia] * 5
					return ugly_nums[-1]


if __name__ == "__main__":
		from doctest import testmod

		testmod(verbose=True)
		print(F'{ugly_numbers(200) = }')






