






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      a_ (      _A      ,   _A=False  )			->			List[str]:







				"""simple docstring"""
				try:
								snake_case__									=     os.environ[key]
				except KeyError:
								# KEY isn't set, default to `default`.
								snake_case__									=     default
				else:
								# KEY is set, convert it to True or False.
								try:
												snake_case__									=     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	  =						parse_flag_from_env("""RUN_SLOW""", default=False)
def      a_ (      _A  )			->			str:







				"""simple docstring"""
				return unittest.skip('Test was skipped'  )(_A  )
def      a_ (      _A  )			->			int:







				"""simple docstring"""
				return unittest.skipUnless(_run_slow_tests      ,   'test is slow'  )(_A  )
def      a_ (      _A  )			->			int:







				"""simple docstring"""
				return unittest.skipUnless(not torch.cuda.is_available()      ,   'test requires only a CPU'  )(_A  )
def      a_ (      _A  )			->			Optional[Any]:







				"""simple docstring"""
				return unittest.skipUnless(torch.cuda.is_available()      ,   'test requires a GPU'  )(_A  )
def      a_ (      _A  )			->			Any:







				"""simple docstring"""
				return unittest.skipUnless(is_xpu_available()      ,   'test requires a XPU'  )(_A  )
def      a_ (      _A  )			->			List[Any]:







				"""simple docstring"""
				return unittest.skipUnless(is_mps_available()      ,   'test requires a `mps` backend support in `torch`'  )(_A  )
def      a_ (      _A  )			->			Optional[Any]:







				"""simple docstring"""
				return unittest.skipUnless(
				    is_transformers_available() and is_datasets_available()      ,   'test requires the Hugging Face suite'  )(_A  )
def      a_ (      _A  )			->			Tuple:







				"""simple docstring"""
				return unittest.skipUnless(is_bnb_available()      ,   'test requires the bitsandbytes library'  )(_A  )
def      a_ (      _A  )			->			Tuple:







				"""simple docstring"""
				return unittest.skipUnless(is_tpu_available()      ,   'test requires TPU'  )(_A  )
def      a_ (      _A  )			->			Optional[int]:







				"""simple docstring"""
				return unittest.skipUnless(torch.cuda.device_count() == 1      ,   'test requires a GPU'  )(_A  )
def      a_ (      _A  )			->			List[str]:







				"""simple docstring"""
				return unittest.skipUnless(torch.xpu.device_count() == 1      ,   'test requires a XPU'  )(_A  )
def      a_ (      _A  )			->			List[Any]:







				"""simple docstring"""
				return unittest.skipUnless(torch.cuda.device_count() > 1      ,   'test requires multiple GPUs'  )(_A  )
def      a_ (      _A  )			->			Tuple:







				"""simple docstring"""
				return unittest.skipUnless(torch.xpu.device_count() > 1      ,   'test requires multiple XPUs'  )(_A  )
def      a_ (      _A  )			->			Union[str, Any]:







				"""simple docstring"""
				return unittest.skipUnless(is_safetensors_available()      ,   'test requires safetensors'  )(_A  )
def      a_ (      _A  )			->			Dict:







				"""simple docstring"""
				return unittest.skipUnless(is_deepspeed_available()      ,   'test requires DeepSpeed'  )(_A  )
def      a_ (      _A  )			->			List[Any]:







				"""simple docstring"""
				return unittest.skipUnless(is_torch_version('>='      ,   '1.12.0'  )      ,   'test requires torch version >= 1.12.0'  )(_A  )
def      a_ (      _A=None      ,   _A=None  )			->			Union[str, Any]:







				"""simple docstring"""
				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      a_ (      _A  )			->			str:







				"""simple docstring"""
				return unittest.skipUnless(is_tensorboard_available()      ,   'test requires Tensorboard'  )(_A  )
def      a_ (      _A  )			->			List[str]:







				"""simple docstring"""
				return unittest.skipUnless(is_wandb_available()      ,   'test requires wandb'  )(_A  )
def      a_ (      _A  )			->			str:







				"""simple docstring"""
				return unittest.skipUnless(is_comet_ml_available()      ,   'test requires comet_ml'  )(_A  )


__UpperCamelCase	  =						(
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)
def      a_ (      _A  )			->			Dict:







				"""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'      ,   )(_A  )


class   __SCREAMING_SNAKE_CASE(	unittest.TestCase	):
							_UpperCAmelCase     =       True
							@classmethod
							def lowerCAmelCase_ (     cls:      str						)		->		int:
											snake_case__									=     tempfile.mkdtemp()
							@classmethod
							def lowerCAmelCase_ (     cls:      List[str]						)		->		List[str]:
											if os.path.exists(cls.tmpdir						):
															shutil.rmtree(cls.tmpdir						)


							def lowerCAmelCase_ (     self:      Dict						)		->		int:
											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	):
							def lowerCAmelCase_ (     self:      List[str]						)		->		List[str]:
											super().tearDown()
											# Reset the state of the AcceleratorState singleton.
											AcceleratorState._reset_state()
											PartialState._reset_state()


class   __SCREAMING_SNAKE_CASE(	unittest.TestCase	):
							def lowerCAmelCase_ (     self:      Union[str, Any]       ,	UpperCamelCase:      Union[mock.Mock, List[mock.Mock]]						)		->		Tuple:
											snake_case__									=     mocks if isinstance(UpperCamelCase       ,	(tuple, list)						) else [mocks]
											for m in self.mocks:
															m.start()
															self.addCleanup(m.stop						)


def      a_ (      _A  )			->			Union[str, Any]:







				"""simple docstring"""
				snake_case__									=     AcceleratorState()
				snake_case__									=     tensor[None].clone().to(state.device  )
				snake_case__									=     gather(_A  ).cpu()
				snake_case__									=     tensor[0].cpu()
				for i in range(tensors.shape[0]  ):
								if not torch.equal(tensors[i]      ,   _A  ):
												return False
				return True


class   __SCREAMING_SNAKE_CASE:
							def __init__(     self:      Optional[Any]       ,	UpperCamelCase:      Tuple       ,	UpperCamelCase:      Dict       ,	UpperCamelCase:      Optional[Any]						)		->		Tuple:
											snake_case__									=     returncode
											snake_case__									=     stdout
											snake_case__									=     stderr


async def      a_ (      _A      ,   _A  )			->			List[Any]:







				"""simple docstring"""
				while True:
								snake_case__									=     await stream.readline()
								if line:
												callback(_A  )
								else:
												break
async def      a_ (      _A      ,   _A=None      ,   _A=None      ,   _A=None      ,   _A=False      ,   _A=False  )			->			_RunOutput:







				"""simple docstring"""
				if echo:
								print('\nRunning: '      ,   ' '.join(_A  )  )

				snake_case__									=     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)

				snake_case__									=     []
				snake_case__									=     []

				def tee(_A      ,   _A      ,   _A      ,   _A=""  ):
								snake_case__									=     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      a_ (      _A      ,   _A=None      ,   _A=None      ,   _A=180      ,   _A=False      ,   _A=True  )			->			_RunOutput:







				"""simple docstring"""
				snake_case__									=     asyncio.get_event_loop()
				snake_case__									=     loop.run_until_complete(
				    _stream_subprocess(_A      ,   env=_A      ,   stdin=_A      ,   timeout=_A      ,   quiet=_A      ,   echo=_A  )  )

				snake_case__									=     ' '.join(_A  )
				if result.returncode > 0:
								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   __SCREAMING_SNAKE_CASE(	a_	):
							pass


def      a_ (      _A      ,   _A=False  )			->			Dict:







				"""simple docstring"""
				try:
								snake_case__									=     subprocess.check_output(_A      ,   stderr=subprocess.STDOUT  )
								if return_stdout:
												if hasattr(_A      ,   'decode'  ):
																snake_case__									=     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 typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


__UpperCamelCase					:		str	  =						{"""processing_layoutxlm""": ["""LayoutXLMProcessor"""]}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase					:		Dict	  =						["""LayoutXLMTokenizer"""]

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase					:		str	  =						["""LayoutXLMTokenizerFast"""]

if TYPE_CHECKING:
							from .processing_layoutxlm import LayoutXLMProcessor

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_layoutxlm import LayoutXLMTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_layoutxlm_fast import LayoutXLMTokenizerFast

else:
							import sys

							__UpperCamelCase					:		Union[str, Any]	  =						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




