
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       (					lowercase    ,       lowercase=False )   ->  List[str]:
		'''simple docstring'''

		try:
				UpperCamelCase		=     os.environ[key]
		except KeyError:
				# KEY isn't set, default to `default`.
				UpperCamelCase		=     default
		else:
				# KEY is set, convert it to True or False.
				try:
						UpperCamelCase		=     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					: Dict      =       parse_flag_from_env("RUN_SLOW", default=False)


def       A       (					lowercase )   ->  int:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  Dict:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  Dict:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  Union[str, Any]:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  List[Any]:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  Dict:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  Optional[Any]:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  Optional[Any]:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  Dict:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  Union[str, Any]:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  Optional[int]:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  List[str]:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  Dict:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  Any:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  str:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  Optional[int]:
		'''simple docstring'''

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


def       A       (					lowercase=None    ,       lowercase=None )   ->  Dict:
		'''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       (					lowercase )   ->  Dict:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  int:
		'''simple docstring'''

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


def       A       (					lowercase )   ->  Union[str, Any]:
		'''simple docstring'''

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


_UpperCAmelCase					: List[Any]      =       (
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)


def       A       (					lowercase )   ->  List[str]:
		'''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 				lowercase					(		unittest.TestCase   ):
		__lowercase       :       Optional[int]	     =				True



		@classmethod
		def __UpperCamelCase ( cls       )  ->					str:
				"""simple docstring"""
				UpperCamelCase		=     tempfile.mkdtemp()



		@classmethod
		def __UpperCamelCase ( cls       )  ->					Union[str, Any]:
				"""simple docstring"""






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



		def __UpperCamelCase ( self       )  ->					Tuple:
				"""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(__lowercase       )






class 				lowercase					(		unittest.TestCase   ):



		def __UpperCamelCase ( self       )  ->					Dict:
				"""simple docstring"""
				super().tearDown()
				# Reset the state of the AcceleratorState singleton.
				AcceleratorState._reset_state()
				PartialState._reset_state()






class 				lowercase					(		unittest.TestCase   ):



		def __UpperCamelCase ( self				,      A_       )  ->					Any:
				"""simple docstring"""
				UpperCamelCase		=     mocks if isinstance(__lowercase				,      (tuple, list)       ) else [mocks]
				for m in self.mocks:
						m.start()
						self.addCleanup(m.stop       )






def       A       (					lowercase )   ->  Any:
		'''simple docstring'''

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


class 				lowercase					:



		def __init__( self				,      A_				,      A_				,      A_       )  ->					Tuple:
				"""simple docstring"""
				UpperCamelCase		=     returncode
				UpperCamelCase		=     stdout
				UpperCamelCase		=     stderr






async def       A       (					lowercase    ,       lowercase )   ->  List[Any]:
		'''simple docstring'''

		while True:
				UpperCamelCase		=     await stream.readline()
				if line:
						callback(_A )
				else:
						break


async def       A       (					lowercase    ,       lowercase=None    ,       lowercase=None    ,       lowercase=None    ,       lowercase=False    ,       lowercase=False )   ->  int:
		'''simple docstring'''

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

		UpperCamelCase		=     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)

		UpperCamelCase		=     []
		UpperCamelCase		=     []

		def tee(lowercase    ,       lowercase    ,       lowercase    ,       lowercase="" ):
				UpperCamelCase		=     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 lowercase : tee(_A    ,       _A    ,       sys.stdout    ,       label='stdout:' ) ) ),
		        asyncio.create_task(_read_stream(p.stderr    ,       lambda lowercase : tee(_A    ,       _A    ,       sys.stderr    ,       label='stderr:' ) ) ),
		    ]    ,       timeout=_A    ,       )
		return _RunOutput(await p.wait()    ,       _A    ,       _A )


def       A       (					lowercase    ,       lowercase=None    ,       lowercase=None    ,       lowercase=180    ,       lowercase=False    ,       lowercase=True )   ->  Optional[Any]:
		'''simple docstring'''

		UpperCamelCase		=     asyncio.get_event_loop()
		UpperCamelCase		=     loop.run_until_complete(
		    _stream_subprocess(_A    ,       env=_A    ,       stdin=_A    ,       timeout=_A    ,       quiet=_A    ,       echo=_A ) )

		UpperCamelCase		=     ' '.join(_A )
		if result.returncode > 0:
				UpperCamelCase		=     '\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 				lowercase					(		UpperCAmelCase__   ):
		pass






def       A       (					lowercase    ,       lowercase=False )   ->  Any:
		'''simple docstring'''

		try:
				UpperCamelCase		=     subprocess.check_output(_A    ,       stderr=subprocess.STDOUT )
				if return_stdout:
						if hasattr(_A    ,       'decode' ):
								UpperCamelCase		=     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






# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser


def 						lowerCamelCase__    (		):







	'''simple docstring'''





	snake_case_		    =     ArgumentParser("Accelerate CLI tool"     ,	usage="accelerate <command> [<args>]"     ,	allow_abbrev=_A							)
	snake_case_		    =     parser.add_subparsers(help="accelerate command helpers"							)

	# Register commands
	get_config_parser(subparsers=_A							)
	env_command_parser(subparsers=_A							)
	launch_command_parser(subparsers=_A							)
	tpu_command_parser(subparsers=_A							)
	test_command_parser(subparsers=_A							)

	# Let's go
	snake_case_		    =     parser.parse_args()

	if not hasattr(_A     ,	"func"							):
		parser.print_help()
		exit(1							)

	# Run
	args.func(_A							)


if __name__ == "__main__":
		main()
