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


_A			:       List[Any]   		=       parse_flag_from_env("""RUN_SLOW""", default=False)


def   __magic_name__	(      __snake_case				:       List[Any]  ) ->				Tuple:
       return unittest.skip("Test was skipped"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       str  ) ->				Optional[Any]:
       return unittest.skipUnless(_run_slow_tests     , "test is slow"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       Any  ) ->				str:
       return unittest.skipUnless(not torch.cuda.is_available()     , "test requires only a CPU"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       Any  ) ->				Optional[Any]:
       return unittest.skipUnless(torch.cuda.is_available()     , "test requires a GPU"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       str  ) ->				Tuple:
       return unittest.skipUnless(is_xpu_available()     , "test requires a XPU"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       Union[str, Any]  ) ->				List[str]:
       return unittest.skipUnless(is_mps_available()     , "test requires a `mps` backend support in `torch`"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       Dict  ) ->				List[Any]:
       return unittest.skipUnless(
           is_transformers_available() and is_datasets_available()     , "test requires the Hugging Face suite"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       Optional[Any]  ) ->				int:
       return unittest.skipUnless(is_bnb_available()     , "test requires the bitsandbytes library"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       Any  ) ->				str:
       return unittest.skipUnless(is_tpu_available()     , "test requires TPU"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       int  ) ->				Dict:
       return unittest.skipUnless(torch.cuda.device_count() == 1     , "test requires a GPU"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       List[str]  ) ->				str:
       return unittest.skipUnless(torch.xpu.device_count() == 1     , "test requires a XPU"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       int  ) ->				int:
       return unittest.skipUnless(torch.cuda.device_count() > 1     , "test requires multiple GPUs"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       int  ) ->				Tuple:
       return unittest.skipUnless(torch.xpu.device_count() > 1     , "test requires multiple XPUs"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       Tuple  ) ->				List[Any]:
       return unittest.skipUnless(is_safetensors_available()     , "test requires safetensors"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       str  ) ->				str:
       return unittest.skipUnless(is_deepspeed_available()     , "test requires DeepSpeed"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       Tuple  ) ->				List[str]:
       return unittest.skipUnless(is_torch_version(">="     , "1.12.0"  )     , "test requires torch version >= 1.12.0"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       Any=None     , __snake_case				:       str=None  ) ->				Tuple:
       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   __magic_name__	(      __snake_case				:       Dict  ) ->				List[Any]:
       return unittest.skipUnless(is_tensorboard_available()     , "test requires Tensorboard"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       Tuple  ) ->				List[Any]:
       return unittest.skipUnless(is_wandb_available()     , "test requires wandb"  )(__UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       Tuple  ) ->				str:
       return unittest.skipUnless(is_comet_ml_available()     , "test requires comet_ml"  )(__UpperCamelCase  )


_A			:       str   		=       (
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)


def   __magic_name__	(      __snake_case				:       Optional[Any]  ) ->				Optional[int]:
       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 		a__						(      unittest.TestCase						):
   __lowerCAmelCase            =				True
   @classmethod
   def 			__magic_name__			(			cls				):
          lowercase    :				List[str]       		=							tempfile.mkdtemp()
   @classmethod
   def 			__magic_name__			(			cls				):
          if os.path.exists(cls.tmpdir				):
                 shutil.rmtree(cls.tmpdir				)

   def 			__magic_name__			(			self				):
          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 		a__						(      unittest.TestCase						):
   def 			__magic_name__			(			self				):
          super().tearDown()
          # Reset the state of the AcceleratorState singleton.
          AcceleratorState._reset_state()
          PartialState._reset_state()


class 		a__						(      unittest.TestCase						):
   def 			__magic_name__			(			self	,    _a				):
          lowercase    :				List[Any]       		=							mocks if isinstance(A_	,    (tuple, list)				) else [mocks]
          for m in self.mocks:
                 m.start()
                 self.addCleanup(m.stop				)


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

class 		a__						:
   def __init__(			self	,    _a	,    _a	,    _a				):
          lowercase    :				str       		=							returncode
          lowercase    :				List[Any]       		=							stdout
          lowercase    :				str       		=							stderr


async def   __magic_name__	(      __snake_case				:       int     , __snake_case				:       List[str]  ) ->				List[Any]:
       while True:
              lowercase    :				List[str]       		=							await stream.readline()
              if line:
                     callback(__UpperCamelCase  )
              else:
                     break


async def   __magic_name__	(      __snake_case				:       List[Any]     , __snake_case				:       Tuple=None     , __snake_case				:       List[str]=None     , __snake_case				:       List[str]=None     , __snake_case				:       List[str]=False     , __snake_case				:       List[Any]=False  ) ->				Optional[int]:
       if echo:
              print("\nRunning: "     , " ".join(__UpperCamelCase  )  )

       lowercase    :				Dict       		=							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)

       lowercase    :				str       		=							[]
       lowercase    :				List[str]       		=							[]

       def tee(__snake_case				:       Dict     , __snake_case				:       Any     , __snake_case				:       str     , __snake_case				:       Optional[Any]=""  ):
              lowercase    :				Union[str, Any]       		=							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 __snake_case  : tee(__UpperCamelCase     , __UpperCamelCase     , sys.stdout     , label="stdout:"  )  )  ),
               asyncio.create_task(_read_stream(p.stderr     , lambda __snake_case  : tee(__UpperCamelCase     , __UpperCamelCase     , sys.stderr     , label="stderr:"  )  )  ),
           ]     , timeout=__UpperCamelCase     , )
       return _RunOutput(await p.wait()     , __UpperCamelCase     , __UpperCamelCase  )


def   __magic_name__	(      __snake_case				:       str     , __snake_case				:       int=None     , __snake_case				:       int=None     , __snake_case				:       Tuple=180     , __snake_case				:       int=False     , __snake_case				:       Optional[int]=True  ) ->				int:
       lowercase    :				List[str]       		=							asyncio.get_event_loop()
       lowercase    :				Union[str, Any]       		=							loop.run_until_complete(
           _stream_subprocess(__UpperCamelCase     , env=__UpperCamelCase     , stdin=__UpperCamelCase     , timeout=__UpperCamelCase     , quiet=__UpperCamelCase     , echo=__UpperCamelCase  )  )

       lowercase    :				Dict       		=							''' '''.join(__UpperCamelCase  )
       if result.returncode > 0:
              lowercase    :				List[str]       		=							'''\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__						(      UpperCamelCase_						):
   pass


def   __magic_name__	(      __snake_case				:       List[str]     , __snake_case				:       Tuple=False  ) ->				Union[str, Any]:
       try:
              lowercase    :				Optional[int]       		=							subprocess.check_output(__UpperCamelCase     , stderr=subprocess.STDOUT  )
              if return_stdout:
                     if hasattr(__UpperCamelCase     , "decode"  ):
                            lowercase    :				Optional[Any]       		=							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







A__  :  Any								=					'''Tobias Carryer'''

from time import time



class 				__snake_case						:




							def __init__(       self     :       Any				,				A_     :       Tuple				,				A_     :       Dict				,				A_     :       Tuple				,				A_     :       str=int(time())):  # noqa: B008
									lowerCAmelCase_			:     int									= multiplier
									lowerCAmelCase_			:     int									= increment
									lowerCAmelCase_			:     str									= modulo
									lowerCAmelCase_			:     str									= seed







							def    UpperCAmelCase__			(       self     :       int):
									lowerCAmelCase_			:     Optional[int]									= (self.multiplier * self.seed + self.increment) % self.modulo
									return self.seed


if __name__ == "__main__":
						# Show the LCG in action.
						A__  :  Union[str, Any]								=					LinearCongruentialGenerator(166_4525, 10_1390_4223, 2 << 31)
						while True:
												print(lcg.next_number())





