"""simple docstring"""
from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin



class 					lowerCAmelCase_      (     lowerCAmelCase       ,      lowerCAmelCase   ):



				"""simple docstring"""

				@register_to_config
				def __init__(			self						,      lowerCAmelCase = 7_68						,      ):






										"""simple docstring"""

										super().__init__()

										snake_case        =     nn.Parameter(torch.zeros(1						,      lowerCAmelCase      )      )
										snake_case        =     nn.Parameter(torch.ones(1						,      lowerCAmelCase      )      )

				def 						snake_case	(			self						,      lowerCAmelCase = None						,      lowerCAmelCase = None						,      ):






										"""simple docstring"""

										snake_case        =     nn.Parameter(self.mean.to(lowerCAmelCase      ).to(lowerCAmelCase      )      )
										snake_case        =     nn.Parameter(self.std.to(lowerCAmelCase      ).to(lowerCAmelCase      )      )
										return self

				def 						snake_case	(			self						,      lowerCAmelCase      ):






										"""simple docstring"""

										snake_case        =     (embeds - self.mean) * 1.0 / self.std
										return embeds

				def 						snake_case	(			self						,      lowerCAmelCase      ):






										"""simple docstring"""

										snake_case        =     (embeds * self.std) + self.mean
										return embeds



"""simple docstring"""
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__      (     _UpperCamelCase    :			Tuple	,     _UpperCamelCase    :			Optional[int]=False   )   ->			Any:





						"""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(_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


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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			List[Any]   )   ->			str:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			List[Any]   )   ->			List[str]:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			List[Any]   )   ->			int:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Tuple   )   ->			Tuple:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Dict   )   ->			Optional[int]:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Dict   )   ->			Any:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Tuple   )   ->			str:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			List[str]   )   ->			Dict:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			List[str]   )   ->			List[Any]:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Dict   )   ->			int:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			str   )   ->			List[Any]:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Optional[Any]   )   ->			List[Any]:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			str   )   ->			List[str]:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			str   )   ->			str:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Dict   )   ->			List[str]:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			int   )   ->			List[Any]:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Dict=None	,     _UpperCamelCase    :			Dict=None   )   ->			int:





						"""simple docstring"""






						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 				lowerCAmelCase__      (     _UpperCamelCase    :			Optional[int]   )   ->			List[str]:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			int   )   ->			int:





						"""simple docstring"""






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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			int   )   ->			Any:





						"""simple docstring"""






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


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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			str   )   ->			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'	,     )(_UpperCamelCase   )



class 					lowerCAmelCase_      (     unittest.TestCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Union[str, Any]     					=  True

				@classmethod
				def 						snake_case	(			cls      ):






										"""simple docstring"""

										snake_case        =     tempfile.mkdtemp()

				@classmethod
				def 						snake_case	(			cls      ):






										"""simple docstring"""

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

				def 						snake_case	(			self      ):






										"""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(lowerCAmelCase      )





class 					lowerCAmelCase_      (     unittest.TestCase   ):



				"""simple docstring"""

				def 						snake_case	(			self      ):






										"""simple docstring"""

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





class 					lowerCAmelCase_      (     unittest.TestCase   ):



				"""simple docstring"""

				def 						snake_case	(			self						,      lowerCAmelCase      ):






										"""simple docstring"""

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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			int   )   ->			Any:





						"""simple docstring"""






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



class 					lowerCAmelCase_      :



				"""simple docstring"""

				def __init__(			self						,      lowerCAmelCase						,      lowerCAmelCase						,      lowerCAmelCase      ):






										"""simple docstring"""

										snake_case        =     returncode
										snake_case        =     stdout
										snake_case        =     stderr





async def 				lowerCAmelCase__      (     _UpperCamelCase    :			Dict	,     _UpperCamelCase    :			Any   )   ->			List[Any]:





						"""simple docstring"""






						while True:
												snake_case        =     await stream.readline()
												if line:
																		callback(_UpperCamelCase   )
												else:
																		break





async def 				lowerCAmelCase__      (     _UpperCamelCase    :			Optional[Any]	,     _UpperCamelCase    :			Optional[Any]=None	,     _UpperCamelCase    :			List[Any]=None	,     _UpperCamelCase    :			Optional[Any]=None	,     _UpperCamelCase    :			List[str]=False	,     _UpperCamelCase    :			Optional[int]=False   )   ->			_RunOutput:





						"""simple docstring"""






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

						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)

						snake_case        =     []
						snake_case        =     []

						def tee(_UpperCamelCase    :			List[Any]	,     _UpperCamelCase    :			Optional[Any]	,     _UpperCamelCase    :			Union[str, Any]	,     _UpperCamelCase    :			List[str]=""   ):
												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 				lowerCAmelCase__      (     _UpperCamelCase    :			List[Any]	,     _UpperCamelCase    :			str=None	,     _UpperCamelCase    :			List[str]=None	,     _UpperCamelCase    :			Tuple=1_8_0	,     _UpperCamelCase    :			Dict=False	,     _UpperCamelCase    :			Optional[Any]=True   )   ->			_RunOutput:





						"""simple docstring"""






						snake_case        =     asyncio.get_event_loop()
						snake_case        =     loop.run_until_complete(
						    _stream_subprocess(_UpperCamelCase	,     env=_UpperCamelCase	,     stdin=_UpperCamelCase	,     timeout=_UpperCamelCase	,     quiet=_UpperCamelCase	,     echo=_UpperCamelCase   )   )

						snake_case        =     ' '.join(_UpperCamelCase   )
						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 					lowerCAmelCase_      (     lowerCAmelCase   ):



				"""simple docstring"""
				pass





def 				lowerCAmelCase__      (     _UpperCamelCase    :			List[str]	,     _UpperCamelCase    :			Optional[Any]=False   )   ->			Optional[Any]:





						"""simple docstring"""






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


