
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 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Dict			,							UpperCAmelCase_	:     Optional[int]=False				)			->						List[Any]:
       try:
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=os.environ[key]
       except KeyError:
              # KEY isn't set, default to `default`.
              SCREAMING_SNAKE_CASE_							:				Tuple		=default
       else:
              # KEY is set, convert it to True or False.
              try:
                     SCREAMING_SNAKE_CASE_							:				Optional[Any]		=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


_lowercase											=    parse_flag_from_env("""RUN_SLOW""", default=False)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Union[str, Any]				)			->						Any:
       return unittest.skip('''Test was skipped'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[Any]				)			->						Tuple:
       return unittest.skipUnless(_run_slow_tests			,							'''test is slow'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Union[str, Any]				)			->						List[str]:
       return unittest.skipUnless(not torch.cuda.is_available()			,							'''test requires only a CPU'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Any				)			->						Optional[int]:
       return unittest.skipUnless(torch.cuda.is_available()			,							'''test requires a GPU'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Any				)			->						int:
       return unittest.skipUnless(is_xpu_available()			,							'''test requires a XPU'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[str]				)			->						Tuple:
       return unittest.skipUnless(is_mps_available()			,							'''test requires a `mps` backend support in `torch`'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     str				)			->						Dict:
       return unittest.skipUnless(
           is_transformers_available() and is_datasets_available()			,							'''test requires the Hugging Face suite'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[Any]				)			->						Dict:
       return unittest.skipUnless(is_bnb_available()			,							'''test requires the bitsandbytes library'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Union[str, Any]				)			->						Optional[int]:
       return unittest.skipUnless(is_tpu_available()			,							'''test requires TPU'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Optional[int]				)			->						Union[str, Any]:
       return unittest.skipUnless(torch.cuda.device_count() == 1			,							'''test requires a GPU'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[Any]				)			->						Union[str, Any]:
       return unittest.skipUnless(torch.xpu.device_count() == 1			,							'''test requires a XPU'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[str]				)			->						Optional[Any]:
       return unittest.skipUnless(torch.cuda.device_count() > 1			,							'''test requires multiple GPUs'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Dict				)			->						Union[str, Any]:
       return unittest.skipUnless(torch.xpu.device_count() > 1			,							'''test requires multiple XPUs'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Union[str, Any]				)			->						Union[str, Any]:
       return unittest.skipUnless(is_safetensors_available()			,							'''test requires safetensors'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[Any]				)			->						Optional[Any]:
       return unittest.skipUnless(is_deepspeed_available()			,							'''test requires DeepSpeed'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Dict				)			->						List[str]:
       return unittest.skipUnless(is_torch_version('''>='''			,							'''1.12.0'''				)			,							'''test requires torch version >= 1.12.0'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Optional[Any]=None			,							UpperCAmelCase_	:     Optional[Any]=None				)			->						List[str]:
       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 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[Any]				)			->						Union[str, Any]:
       return unittest.skipUnless(is_tensorboard_available()			,							'''test requires Tensorboard'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Union[str, Any]				)			->						Dict:
       return unittest.skipUnless(is_wandb_available()			,							'''test requires wandb'''				)(UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Optional[Any]				)			->						str:
       return unittest.skipUnless(is_comet_ml_available()			,							'''test requires comet_ml'''				)(UpperCAmelCase_				)


_lowercase											=    (
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[str]				)			->						Union[str, Any]:
       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 			lowercase_		(      unittest.TestCase       ):
       __lowerCamelCase				       =						True


       @classmethod
       def 	_snake_case				(    cls				)						->    Union[str, Any]:
              SCREAMING_SNAKE_CASE_							:				int		=tempfile.mkdtemp()


       @classmethod
       def 	_snake_case				(    cls				)						->    Optional[int]:
              if os.path.exists(cls.tmpdir				):
                     shutil.rmtree(cls.tmpdir				)





       def 	_snake_case				(    self				)						->    int:
              if self.clear_on_setup:
                     for path in Path(self.tmpdir				).glob('''**/*'''				):
                            if path.is_file():
                                   path.unlink()
                            elif path.is_dir():
                                   shutil.rmtree(__A				)






class 			lowercase_		(      unittest.TestCase       ):


       def 	_snake_case				(    self				)						->    Optional[Any]:
              super().tearDown()
              # Reset the state of the AcceleratorState singleton.
              AcceleratorState._reset_state()
              PartialState._reset_state()






class 			lowercase_		(      unittest.TestCase       ):


       def 	_snake_case				(    self						,       __A				)						->    Dict:
              SCREAMING_SNAKE_CASE_							:				List[str]		=mocks if isinstance(__A						,       (tuple, list)				) else [mocks]
              for m in self.mocks:
                     m.start()
                     self.addCleanup(m.stop				)






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


class 			lowercase_		:


       def __init__(    self						,       __A						,       __A						,       __A				)						->    List[Any]:
              SCREAMING_SNAKE_CASE_							:				int		=returncode
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=stdout
              SCREAMING_SNAKE_CASE_							:				Tuple		=stderr






async def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Optional[int]			,							UpperCAmelCase_	:     str				)			->						List[Any]:
       while True:
              SCREAMING_SNAKE_CASE_							:				int		=await stream.readline()
              if line:
                     callback(UpperCAmelCase_				)
              else:
                     break
async def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     str			,							UpperCAmelCase_	:     Tuple=None			,							UpperCAmelCase_	:     List[str]=None			,							UpperCAmelCase_	:     Optional[Any]=None			,							UpperCAmelCase_	:     int=False			,							UpperCAmelCase_	:     List[Any]=False				)			->						_RunOutput:
       if echo:
              print('''\nRunning: '''			,							''' '''.join(UpperCAmelCase_				)				)

       SCREAMING_SNAKE_CASE_							:				str		=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)

       SCREAMING_SNAKE_CASE_							:				Tuple		=[]
       SCREAMING_SNAKE_CASE_							:				Optional[int]		=[]

       def tee(UpperCAmelCase_	:     Dict			,							UpperCAmelCase_	:     Tuple			,							UpperCAmelCase_	:     Optional[Any]			,							UpperCAmelCase_	:     int=""				):
              SCREAMING_SNAKE_CASE_							:				Tuple		=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 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Any			,							UpperCAmelCase_	:     Optional[int]=None			,							UpperCAmelCase_	:     Dict=None			,							UpperCAmelCase_	:     Optional[int]=1_8_0			,							UpperCAmelCase_	:     List[Any]=False			,							UpperCAmelCase_	:     int=True				)			->						_RunOutput:
       SCREAMING_SNAKE_CASE_							:				Tuple		=asyncio.get_event_loop()
       SCREAMING_SNAKE_CASE_							:				str		=loop.run_until_complete(
           _stream_subprocess(UpperCAmelCase_			,							env=UpperCAmelCase_			,							stdin=UpperCAmelCase_			,							timeout=UpperCAmelCase_			,							quiet=UpperCAmelCase_			,							echo=UpperCAmelCase_				)				)

       SCREAMING_SNAKE_CASE_							:				Tuple		=''' '''.join(UpperCAmelCase_				)
       if result.returncode > 0:
              SCREAMING_SNAKE_CASE_							:				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 			lowercase_		(      A       ):
       pass






def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[str]			,							UpperCAmelCase_	:     List[Any]=False				)			->						Optional[int]:
       try:
              SCREAMING_SNAKE_CASE_							:				Any		=subprocess.check_output(UpperCAmelCase_			,							stderr=subprocess.STDOUT				)
              if return_stdout:
                     if hasattr(UpperCAmelCase_			,							'''decode'''				):
                            SCREAMING_SNAKE_CASE_							:				List[str]		=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


def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     int | float | str				)			->						tuple[int, int]:
       try:
              SCREAMING_SNAKE_CASE_							:				int		=float(UpperCAmelCase_				)
       except ValueError:
              raise ValueError('''Please enter a valid number'''				)
       SCREAMING_SNAKE_CASE_							:				Any		=decimal - int(UpperCAmelCase_				)
       if fractional_part == 0:
              return int(UpperCAmelCase_				), 1
       else:
              SCREAMING_SNAKE_CASE_							:				Any		=len(str(UpperCAmelCase_				).split('''.'''				)[1]				)
              SCREAMING_SNAKE_CASE_							:				str		=int(decimal * (1_0**number_of_frac_digits)				)
              SCREAMING_SNAKE_CASE_							:				Any		=1_0**number_of_frac_digits
              SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_							:				Tuple		=denominator, numerator
              while True:
                     SCREAMING_SNAKE_CASE_							:				Any		=dividend % divisor
                     if remainder == 0:
                            break
                     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_							:				Optional[int]		=divisor, remainder
              SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_							:				Optional[int]		=numerator / divisor, denominator / divisor
              return int(UpperCAmelCase_				), int(UpperCAmelCase_				)


if __name__ == "__main__":
 print(F"{decimal_to_fraction(2) = }")
 print(F"{decimal_to_fraction(89.0) = }")
 print(F"{decimal_to_fraction('67') = }")
 print(F"{decimal_to_fraction('45.0') = }")
 print(F"{decimal_to_fraction(1.5) = }")
 print(F"{decimal_to_fraction('6.25') = }")
 print(F"{decimal_to_fraction('78td') = }")
