'''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 							snake_case__				(     _A:   Dict ,  _A:   int=False					)       ->      List[Any]:

		'''simple docstring'''


		try:
				lowerCAmelCase     =    os.environ[key]
		except KeyError:
				# KEY isn't set, default to `default`.
				lowerCAmelCase     =    default
		else:
				# KEY is set, convert it to True or False.
				try:
						lowerCAmelCase     =    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


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






def 							snake_case__				(     _A:   str					)       ->      int:

		'''simple docstring'''


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






def 							snake_case__				(     _A:   int					)       ->      Optional[int]:

		'''simple docstring'''


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






def 							snake_case__				(     _A:   str					)       ->      Any:

		'''simple docstring'''


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






def 							snake_case__				(     _A:   int					)       ->      List[Any]:

		'''simple docstring'''


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






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

		'''simple docstring'''


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






def 							snake_case__				(     _A:   Optional[int]					)       ->      Union[str, Any]:

		'''simple docstring'''


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






def 							snake_case__				(     _A:   List[str]					)       ->      Dict:

		'''simple docstring'''


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






def 							snake_case__				(     _A:   List[str]					)       ->      int:

		'''simple docstring'''


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






def 							snake_case__				(     _A:   Optional[int]					)       ->      Optional[Any]:

		'''simple docstring'''


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






def 							snake_case__				(     _A:   str					)       ->      str:

		'''simple docstring'''


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






def 							snake_case__				(     _A:   List[Any]					)       ->      Dict:

		'''simple docstring'''


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






def 							snake_case__				(     _A:   str					)       ->      Optional[int]:

		'''simple docstring'''


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






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

		'''simple docstring'''


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






def 							snake_case__				(     _A:   List[Any]					)       ->      Any:

		'''simple docstring'''


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






def 							snake_case__				(     _A:   List[str]					)       ->      Any:

		'''simple docstring'''


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






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

		'''simple docstring'''


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






def 							snake_case__				(     _A:   Dict=None ,  _A:   Dict=None					)       ->      Optional[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 							snake_case__				(     _A:   Optional[int]					)       ->      Optional[Any]:

		'''simple docstring'''


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






def 							snake_case__				(     _A:   Any					)       ->      List[str]:

		'''simple docstring'''


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






def 							snake_case__				(     _A:   Dict					)       ->      Any:

		'''simple docstring'''


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


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






def 							snake_case__				(     _A:   Dict					)       ->      Any:

		'''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 							a__(   unittest.TestCase      ):


			'''simple docstring'''






			UpperCAmelCase_     :	Optional[Any]						=			True



			@classmethod
			def 				a_			(  cls):




					"""simple docstring"""


					lowerCAmelCase     =    tempfile.mkdtemp()



			@classmethod
			def 				a_			(  cls):




					"""simple docstring"""


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







			def 				a_			(  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 							a__(   unittest.TestCase      ):


			'''simple docstring'''






			def 				a_			(  self):




					"""simple docstring"""


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







class 							a__(   unittest.TestCase      ):


			'''simple docstring'''






			def 				a_			(  self			,       __lowerCAmelCase):




					"""simple docstring"""


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







def 							snake_case__				(     _A:   str					)       ->      Tuple:

		'''simple docstring'''


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






class 							a__:


			'''simple docstring'''






			def __init__(  self			,       __lowerCAmelCase			,       __lowerCAmelCase			,       __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase     =    returncode
					lowerCAmelCase     =    stdout
					lowerCAmelCase     =    stderr







async def 							snake_case__				(     _A:   Dict ,  _A:   int					)       ->      Union[str, Any]:

		'''simple docstring'''


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






async def 							snake_case__				(     _A:   List[Any] ,  _A:   Any=None ,  _A:   Any=None ,  _A:   Optional[Any]=None ,  _A:   Optional[int]=False ,  _A:   Dict=False					)       ->      _RunOutput:

		'''simple docstring'''


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

		lowerCAmelCase     =    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)

		lowerCAmelCase     =    []
		lowerCAmelCase     =    []

		def tee(_A:   Optional[int] ,  _A:   List[Any] ,  _A:   Dict ,  _A:   List[str]=""					):
				lowerCAmelCase     =    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 							snake_case__				(     _A:   Dict ,  _A:   Optional[Any]=None ,  _A:   List[Any]=None ,  _A:   Any=180 ,  _A:   Tuple=False ,  _A:   int=True					)       ->      _RunOutput:

		'''simple docstring'''


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

		lowerCAmelCase     =    """ """.join(_A					)
		if result.returncode > 0:
				lowerCAmelCase     =    """\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 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			pass







def 							snake_case__				(     _A:   List[str] ,  _A:   int=False					)       ->      Tuple:

		'''simple docstring'''


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





'''simple docstring'''




import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, Features, Value
from .base import TaskTemplate






@dataclass(frozen=lowerCAmelCase__      )
class 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			UpperCAmelCase_     :	str						=			field(default='''automatic-speech-recognition'''					,		metadata={'''include_in_asdict_even_if_is_default''': True}      )
			UpperCAmelCase_     :	ClassVar[Features]						=			Features({'''audio''': Audio()}      )
			UpperCAmelCase_     :	ClassVar[Features]						=			Features({'''transcription''': Value('''string'''      )}      )
			UpperCAmelCase_     :	str						=			"audio"
			UpperCAmelCase_     :	str						=			"transcription"



			def 				a_			(  self			,       __lowerCAmelCase):




					"""simple docstring"""


					if self.audio_column not in features:
							raise ValueError(f"Column {self.audio_column} is not present in features.")
					if not isinstance(features[self.audio_column]			,       __lowerCAmelCase):
							raise ValueError(f"Column {self.audio_column} is not an Audio type.")
					lowerCAmelCase     =    copy.deepcopy(self)
					lowerCAmelCase     =    self.input_schema.copy()
					lowerCAmelCase     =    features[self.audio_column]
					lowerCAmelCase     =    input_schema
					return task_template







			@property
			def 				a_			(  self):




					"""simple docstring"""


					return {self.audio_column: "audio", self.transcription_column: "transcription"}




