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


lowerCAmelCase			:							str     =parse_flag_from_env("RUN_SLOW", default=False)







def 						A__  (					__A	):
    return unittest.skip("""Test was skipped"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(_run_slow_tests   , """test is slow"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(not torch.cuda.is_available()   , """test requires only a CPU"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(torch.cuda.is_available()   , """test requires a GPU"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(is_xpu_available()   , """test requires a XPU"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(is_mps_available()   , """test requires a `mps` backend support in `torch`"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(
        is_transformers_available() and is_datasets_available()   , """test requires the Hugging Face suite"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(is_bnb_available()   , """test requires the bitsandbytes library"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(is_tpu_available()   , """test requires TPU"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(torch.cuda.device_count() == 1   , """test requires a GPU"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(torch.xpu.device_count() == 1   , """test requires a XPU"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(torch.cuda.device_count() > 1   , """test requires multiple GPUs"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(torch.xpu.device_count() > 1   , """test requires multiple XPUs"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(is_safetensors_available()   , """test requires safetensors"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(is_deepspeed_available()   , """test requires DeepSpeed"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(is_torch_version(""">="""   , """1.12.0"""	)   , """test requires torch version >= 1.12.0"""	)(__A	)







def 						A__  (					__A=None   , __A=None	):
    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	):
    return unittest.skipUnless(is_tensorboard_available()   , """test requires Tensorboard"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(is_wandb_available()   , """test requires wandb"""	)(__A	)







def 						A__  (					__A	):
    return unittest.skipUnless(is_comet_ml_available()   , """test requires comet_ml"""	)(__A	)


lowerCAmelCase			:							Union[str, Any]     =(
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)







def 						A__  (					__A	):
    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 	__snake_case	( unittest.TestCase		):





      '''simple docstring'''






      _snake_case    		=       True



      @classmethod
      def 	_SCREAMING_SNAKE_CASE    (					cls     :				Optional[Any])				->List[Any]:


          """simple docstring"""


          _lowerCamelCase     :		Optional[int] 						=						tempfile.mkdtemp()



      @classmethod
      def 	_SCREAMING_SNAKE_CASE    (					cls     :				int)				->List[Any]:


          """simple docstring"""


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




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


          """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(_UpperCamelCase)





class 	__snake_case	( unittest.TestCase		):





      '''simple docstring'''






      def 	_SCREAMING_SNAKE_CASE    (					self     :				int)				->Any:


          """simple docstring"""


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





class 	__snake_case	( unittest.TestCase		):





      '''simple docstring'''






      def 	_SCREAMING_SNAKE_CASE    (					self     :				List[Any]    ,  _UpperCamelCase     :				Union[mock.Mock, List[mock.Mock]])				->List[str]:


          """simple docstring"""


          _lowerCamelCase     :		Optional[Any] 						=						mocks if isinstance(_UpperCamelCase    ,  (tuple, list)) else [mocks]
          for m in self.mocks:
              m.start()
              self.addCleanup(m.stop)







def 						A__  (					__A	):
    _lowerCamelCase     :		Tuple 						=						AcceleratorState()
    _lowerCamelCase     :		Tuple 						=						tensor[None].clone().to(state.device	)
    _lowerCamelCase     :		int 						=						gather(__A	).cpu()
    _lowerCamelCase     :		Optional[int] 						=						tensor[0].cpu()
    for i in range(tensors.shape[0]	):
        if not torch.equal(tensors[i]   , __A	):
            return False
    return True




class 	__snake_case	:





      '''simple docstring'''






      def __init__(					self     :				List[str]    ,  _UpperCamelCase     :				Optional[int]    ,  _UpperCamelCase     :				Optional[int]    ,  _UpperCamelCase     :				Tuple)				->List[str]:


          """simple docstring"""


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







async def 						A__  (					__A   , __A	):
    while True:
        _lowerCamelCase     :		List[str] 						=						await stream.readline()
        if line:
            callback(__A	)
        else:
            break







async def 						A__  (					__A   , __A=None   , __A=None   , __A=None   , __A=False   , __A=False	):
    if echo:
        print("""\nRunning: """   , """ """.join(__A	)	)

    _lowerCamelCase     :		Dict 						=						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     :		int 						=						[]
    _lowerCamelCase     :		int 						=						[]

    def tee(__A   , __A   , __A   , __A=""	):
        _lowerCamelCase     :		Dict 						=						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	):
    _lowerCamelCase     :		List[Any] 						=						asyncio.get_event_loop()
    _lowerCamelCase     :		Any 						=						loop.run_until_complete(
        _stream_subprocess(__A   , env=__A   , stdin=__A   , timeout=__A   , quiet=__A   , echo=__A	)	)

    _lowerCamelCase     :		Optional[int] 						=						""" """.join(__A	)
    if result.returncode > 0:
        _lowerCamelCase     :		Optional[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 	__snake_case	( __lowerCAmelCase		):





      '''simple docstring'''






      pass







def 						A__  (					__A   , __A=False	):
    try:
        _lowerCamelCase     :		Optional[Any] 						=						subprocess.check_output(__A   , stderr=subprocess.STDOUT	)
        if return_stdout:
            if hasattr(__A   , """decode"""	):
                _lowerCamelCase     :		List[str] 						=						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





def 						A__  (					__A	):







    '''simple docstring'''
    _lowerCamelCase     :		Tuple 						=						0
    for ch in input_str:
        _lowerCamelCase     :		Optional[Any] 						=						ord(__A	)
        _lowerCamelCase     :		List[str] 						=						pow(2   , __A	)

        # If we already turned on bit for current character's unicode
        if bitmap >> ch_unicode & 1 == 1:
            return False
        bitmap |= ch_bit_index_on
    return True


if __name__ == "__main__":
    import doctest

    doctest.testmod()




