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_			(	__a     ,   __a=False		)					->		Tuple:







  """simple docstring"""





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


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





def 					lowerCAmelCase_			(	__a		)					->		List[str]:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		Tuple:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		str:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		str:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		Any:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		List[str]:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		Optional[int]:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		Optional[int]:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		List[str]:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		Dict:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		Optional[int]:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		Tuple:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		Dict:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		List[Any]:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		Tuple:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		Optional[Any]:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a=None     ,   __a=None		)					->		Optional[int]:







  """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 					lowerCAmelCase_			(	__a		)					->		Tuple:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		Union[str, Any]:







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		)					->		Union[str, Any]:







  """simple docstring"""





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


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





def 					lowerCAmelCase_			(	__a		)					->		Optional[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"     ,   )(snake_case_		)



class        _SCREAMING_SNAKE_CASE						(     unittest.TestCase   ):







 '''simple docstring'''
 lowercase_		=      True

 @classmethod
 def 							SCREAMING_SNAKE_CASE_ (cls    :       Any)	->Any:



   '''simple docstring'''



   lowerCamelCase__:				Optional[Any]        =tempfile.mkdtemp()

 @classmethod
 def 							SCREAMING_SNAKE_CASE_ (cls    :       Dict)	->Optional[Any]:



   '''simple docstring'''



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







 def 							SCREAMING_SNAKE_CASE_ (self    :       str)	->List[str]:



   '''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(SCREAMING_SNAKE_CASE_)



class        _SCREAMING_SNAKE_CASE						(     unittest.TestCase   ):







 '''simple docstring'''

 def 							SCREAMING_SNAKE_CASE_ (self    :       List[Any])	->Union[str, Any]:



   '''simple docstring'''



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



class        _SCREAMING_SNAKE_CASE						(     unittest.TestCase   ):







 '''simple docstring'''

 def 							SCREAMING_SNAKE_CASE_ (self    :       List[str]	,			UpperCAmelCase_    :       Any)	->Dict:



   '''simple docstring'''



   lowerCamelCase__:				Optional[int]        =mocks if isinstance(SCREAMING_SNAKE_CASE_	,			(tuple, list)) else [mocks]
   for m in self.mocks:
     m.start()
     self.addCleanup(m.stop)





def 					lowerCAmelCase_			(	__a		)					->		Tuple:







  """simple docstring"""





  lowerCamelCase__:				List[str]        =AcceleratorState()
  lowerCamelCase__:				Dict        =tensor[None].clone().to(state.device		)
  lowerCamelCase__:				Optional[Any]        =gather(snake_case_		).cpu()
  lowerCamelCase__:				Tuple        =tensor[0].cpu()
  for i in range(tensors.shape[0]		):
    if not torch.equal(tensors[i]     ,   snake_case_		):
      return False
  return True



class        _SCREAMING_SNAKE_CASE						:







 '''simple docstring'''

 def __init__(self    :       Union[str, Any]	,			UpperCAmelCase_    :       Optional[int]	,			UpperCAmelCase_    :       Dict	,			UpperCAmelCase_    :       Optional[int])	->Dict:



   '''simple docstring'''



   lowerCamelCase__:				List[Any]        =returncode
   lowerCamelCase__:				List[str]        =stdout
   lowerCamelCase__:				Union[str, Any]        =stderr





async def 					lowerCAmelCase_			(	__a     ,   __a		)					->		Any:







  """simple docstring"""





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





async def 					lowerCAmelCase_			(	__a     ,   __a=None     ,   __a=None     ,   __a=None     ,   __a=False     ,   __a=False		)					->		Union[str, Any]:







  """simple docstring"""





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

  lowerCamelCase__:				Any        =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)

  lowerCamelCase__:				List[Any]        =[]
  lowerCamelCase__:				List[str]        =[]

  def tee(__a     ,   __a     ,   __a     ,   __a=""		):
    lowerCamelCase__:				Tuple        =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 __a		: tee(snake_case_     ,   snake_case_     ,   sys.stdout     ,   label="stdout:"		)		)		),
          asyncio.create_task(_read_stream(p.stderr     ,   lambda __a		: tee(snake_case_     ,   snake_case_     ,   sys.stderr     ,   label="stderr:"		)		)		),
      ]     ,   timeout=snake_case_     ,   )
  return _RunOutput(await p.wait()     ,   snake_case_     ,   snake_case_		)





def 					lowerCAmelCase_			(	__a     ,   __a=None     ,   __a=None     ,   __a=180     ,   __a=False     ,   __a=True		)					->		Union[str, Any]:







  """simple docstring"""





  lowerCamelCase__:				List[str]        =asyncio.get_event_loop()
  lowerCamelCase__:				Dict        =loop.run_until_complete(
      _stream_subprocess(snake_case_     ,   env=snake_case_     ,   stdin=snake_case_     ,   timeout=snake_case_     ,   quiet=snake_case_     ,   echo=snake_case_		)		)

  lowerCamelCase__:				int        =""" """.join(snake_case_		)
  if result.returncode > 0:
    lowerCamelCase__:				List[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        _SCREAMING_SNAKE_CASE						(     _UpperCAmelCase   ):







 '''simple docstring'''
 pass





def 					lowerCAmelCase_			(	__a     ,   __a=False		)					->		Any:







  """simple docstring"""





  try:
    lowerCamelCase__:				Dict        =subprocess.check_output(snake_case_     ,   stderr=subprocess.STDOUT		)
    if return_stdout:
      if hasattr(snake_case_     ,   "decode"		):
        lowerCamelCase__:				Optional[Any]        =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 					lowerCAmelCase_			(	__a     ,   __a		)					->		Tuple:







  """simple docstring"""





  assert x is not None
  assert y is not None

  lowerCamelCase__:				Any        =len(__a		)
  lowerCamelCase__:				int        =len(__a		)

  # declaring the array for storing the dp values
  lowerCamelCase__:				List[Any]        =[[0] * (n + 1) for _ in range(m + 1		)]  # noqa: E741

  for i in range(1     ,   m + 1		):
    for j in range(1     ,   n + 1		):
      lowerCamelCase__:				str        =1 if x[i - 1] == y[j - 1] else 0

      lowerCamelCase__:				str        =max(l[i - 1][j]     ,   l[i][j - 1]     ,   l[i - 1][j - 1] + match		)

  lowerCamelCase__:				Any        =""
  lowerCamelCase__  , lowerCamelCase__:				str        =m, n
  while i > 0 and j > 0:
    lowerCamelCase__:				Union[str, Any]        =1 if x[i - 1] == y[j - 1] else 0

    if l[i][j] == l[i - 1][j - 1] + match:
      if match == 1:
        lowerCamelCase__:				Any        =x[i - 1] + seq
      i -= 1
      j -= 1
    elif l[i][j] == l[i - 1][j]:
      i -= 1
    else:
      j -= 1

  return l[m][n], seq


if __name__ == "__main__":
     __A     =    "AGGTAB"
     __A     =    "GXTXAYB"
     __A     =    4
     __A     =    "GTAB"

     __A ,     __A     =    longest_common_subsequence(a, b)
     print("len =", ln, ", sub-sequence =", subseq)
     import doctest

     doctest.testmod()

