

'''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        _lowerCAmelCase					(						_UpperCamelCase						:     Tuple							, _UpperCamelCase						:     Tuple=False				)      ->			Dict:
     """simple docstring"""




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


lowerCamelCase :      Dict					 =     parse_flag_from_env("RUN_SLOW", default=False)


def        _lowerCAmelCase					(						_UpperCamelCase						:     str				)      ->			List[Any]:
     """simple docstring"""




     return unittest.skip('Test was skipped'				)(_UpperCamelCase				)


def        _lowerCAmelCase					(						_UpperCamelCase						:     List[Any]				)      ->			Tuple:
     """simple docstring"""




     return unittest.skipUnless(_run_slow_tests							, 'test is slow'				)(_UpperCamelCase				)


def        _lowerCAmelCase					(						_UpperCamelCase						:     List[Any]				)      ->			Optional[int]:
     """simple docstring"""




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


def        _lowerCAmelCase					(						_UpperCamelCase						:     Optional[int]				)      ->			List[str]:
     """simple docstring"""




     return unittest.skipUnless(torch.cuda.is_available()							, 'test requires a GPU'				)(_UpperCamelCase				)


def        _lowerCAmelCase					(						_UpperCamelCase						:     List[str]				)      ->			List[str]:
     """simple docstring"""




     return unittest.skipUnless(is_xpu_available()							, 'test requires a XPU'				)(_UpperCamelCase				)


def        _lowerCAmelCase					(						_UpperCamelCase						:     Dict				)      ->			Tuple:
     """simple docstring"""




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


def        _lowerCAmelCase					(						_UpperCamelCase						:     Optional[int]				)      ->			Any:
     """simple docstring"""




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


def        _lowerCAmelCase					(						_UpperCamelCase						:     Union[str, Any]				)      ->			Dict:
     """simple docstring"""




     return unittest.skipUnless(is_bnb_available()							, 'test requires the bitsandbytes library'				)(_UpperCamelCase				)


def        _lowerCAmelCase					(						_UpperCamelCase						:     Dict				)      ->			Optional[Any]:
     """simple docstring"""




     return unittest.skipUnless(is_tpu_available()							, 'test requires TPU'				)(_UpperCamelCase				)


def        _lowerCAmelCase					(						_UpperCamelCase						:     Optional[Any]				)      ->			Dict:
     """simple docstring"""




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


def        _lowerCAmelCase					(						_UpperCamelCase						:     List[str]				)      ->			List[Any]:
     """simple docstring"""




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


def        _lowerCAmelCase					(						_UpperCamelCase						:     str				)      ->			List[Any]:
     """simple docstring"""




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


def        _lowerCAmelCase					(						_UpperCamelCase						:     Optional[Any]				)      ->			Optional[int]:
     """simple docstring"""




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


def        _lowerCAmelCase					(						_UpperCamelCase						:     Union[str, Any]				)      ->			Optional[int]:
     """simple docstring"""




     return unittest.skipUnless(is_safetensors_available()							, 'test requires safetensors'				)(_UpperCamelCase				)


def        _lowerCAmelCase					(						_UpperCamelCase						:     Dict				)      ->			List[str]:
     """simple docstring"""




     return unittest.skipUnless(is_deepspeed_available()							, 'test requires DeepSpeed'				)(_UpperCamelCase				)


def        _lowerCAmelCase					(						_UpperCamelCase						:     str				)      ->			List[Any]:
     """simple docstring"""




     return unittest.skipUnless(is_torch_version('>='							, '1.12.0'				)							, 'test requires torch version >= 1.12.0'				)(_UpperCamelCase				)


def        _lowerCAmelCase					(						_UpperCamelCase						:     int=None							, _UpperCamelCase						:     List[Any]=None				)      ->			List[Any]:
     """simple docstring"""




     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        _lowerCAmelCase					(						_UpperCamelCase						:     Optional[Any]				)      ->			Dict:
     """simple docstring"""




     return unittest.skipUnless(is_tensorboard_available()							, 'test requires Tensorboard'				)(_UpperCamelCase				)


def        _lowerCAmelCase					(						_UpperCamelCase						:     Optional[Any]				)      ->			str:
     """simple docstring"""




     return unittest.skipUnless(is_wandb_available()							, 'test requires wandb'				)(_UpperCamelCase				)


def        _lowerCAmelCase					(						_UpperCamelCase						:     Union[str, Any]				)      ->			int:
     """simple docstring"""




     return unittest.skipUnless(is_comet_ml_available()							, 'test requires comet_ml'				)(_UpperCamelCase				)


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


def        _lowerCAmelCase					(						_UpperCamelCase						:     Optional[int]				)      ->			Dict:
     """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'							, )(_UpperCamelCase				)







class 							A__    (       unittest.TestCase  ):
  A__		 =				True





  @classmethod
  def 						A  (		cls      :	List[str] )	->    Union[str, Any]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =tempfile.mkdtemp()





  @classmethod
  def 						A  (		cls      :	int )	->    List[str]:





       '''simple docstring'''






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





  def 						A  (		self      :	Any )	->    Dict:





       '''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(_a )







class 							A__    (       unittest.TestCase  ):





  def 						A  (		self      :	Optional[int] )	->    Optional[int]:





       '''simple docstring'''






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







class 							A__    (       unittest.TestCase  ):





  def 						A  (		self      :	str							,					_a      :	Union[mock.Mock, List[mock.Mock]] )	->    Optional[Any]:





       '''simple docstring'''






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


def        _lowerCAmelCase					(						_UpperCamelCase						:     int				)      ->			Dict:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =AcceleratorState()
     _SCREAMING_SNAKE_CASE							    =tensor[None].clone().to(state.device				)
     _SCREAMING_SNAKE_CASE							    =gather(_UpperCamelCase				).cpu()
     _SCREAMING_SNAKE_CASE							    =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      :	Dict							,					_a      :	Any							,					_a      :	Dict							,					_a      :	Tuple )	->    str:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =returncode
       _SCREAMING_SNAKE_CASE							    =stdout
       _SCREAMING_SNAKE_CASE							    =stderr


async def        _lowerCAmelCase					(						_UpperCamelCase						:     Any							, _UpperCamelCase						:     List[Any]				)      ->			List[str]:
     """simple docstring"""




     while True:
          _SCREAMING_SNAKE_CASE							    =await stream.readline()
          if line:
               callback(_UpperCamelCase				)
          else:
               break


async def        _lowerCAmelCase					(						_UpperCamelCase						:     List[str]							, _UpperCamelCase						:     List[str]=None							, _UpperCamelCase						:     int=None							, _UpperCamelCase						:     List[Any]=None							, _UpperCamelCase						:     Optional[Any]=False							, _UpperCamelCase						:     str=False				)      ->			_RunOutput:
     """simple docstring"""




     if echo:
          print('\nRunning: '							, ' '.join(_UpperCamelCase				)				)

     _SCREAMING_SNAKE_CASE							    =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							    =[]
     _SCREAMING_SNAKE_CASE							    =[]

     def tee(_UpperCamelCase						:     Optional[Any]							, _UpperCamelCase						:     Optional[int]							, _UpperCamelCase						:     Optional[int]							, _UpperCamelCase						:     Dict=""				):
          _SCREAMING_SNAKE_CASE							    =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        _lowerCAmelCase					(						_UpperCamelCase						:     List[str]							, _UpperCamelCase						:     Dict=None							, _UpperCamelCase						:     Tuple=None							, _UpperCamelCase						:     Optional[int]=1_80							, _UpperCamelCase						:     Dict=False							, _UpperCamelCase						:     Optional[int]=True				)      ->			_RunOutput:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =asyncio.get_event_loop()
     _SCREAMING_SNAKE_CASE							    =loop.run_until_complete(
         _stream_subprocess(_UpperCamelCase							, env=_UpperCamelCase							, stdin=_UpperCamelCase							, timeout=_UpperCamelCase							, quiet=_UpperCamelCase							, echo=_UpperCamelCase				)				)

     _SCREAMING_SNAKE_CASE							    =' '.join(_UpperCamelCase				)
     if result.returncode > 0:
          _SCREAMING_SNAKE_CASE							    ='\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__    (       A__  ):
  pass


def        _lowerCAmelCase					(						_UpperCamelCase						:     List[str]							, _UpperCamelCase						:     Any=False				)      ->			Tuple:
     """simple docstring"""




     try:
          _SCREAMING_SNAKE_CASE							    =subprocess.check_output(_UpperCamelCase							, stderr=subprocess.STDOUT				)
          if return_stdout:
               if hasattr(_UpperCamelCase							, 'decode'				):
                    _SCREAMING_SNAKE_CASE							    =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



'''simple docstring'''
from __future__ import annotations

import math


def        _lowerCAmelCase					(						_UpperCamelCase						:     int				)      ->			bool:
     """simple docstring"""




     if 1 < number < 4:
          # 2 and 3 are primes
          return True
     elif number < 2 or number % 2 == 0 or number % 3 == 0:
          # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
          return False

     # All primes number are in format of 6k +/- 1
     for i in range(5							, int(math.sqrt(_UpperCamelCase				) + 1				)							, 6				):
          if number % i == 0 or number % (i + 2) == 0:
               return False
     return True


def        _lowerCAmelCase					(						_UpperCamelCase						:     int				)      ->			list[int]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =str(_UpperCamelCase				)
     _SCREAMING_SNAKE_CASE							    =[n]
     for i in range(1							, len(_UpperCamelCase				)				):
          list_nums.append(int(str_num[i:]				)				)
          list_nums.append(int(str_num[:-i]				)				)
     return list_nums


def        _lowerCAmelCase					(						_UpperCamelCase						:     int				)      ->			bool:
     """simple docstring"""




     if len(str(_UpperCamelCase				)				) > 3:
          if not is_prime(int(str(_UpperCamelCase				)[-3:]				)				) or not is_prime(int(str(_UpperCamelCase				)[:3]				)				):
               return False
     return True


def        _lowerCAmelCase					(						_UpperCamelCase						:     int = 11				)      ->			list[int]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =[]
     _SCREAMING_SNAKE_CASE							    =13
     while len(_UpperCamelCase				) != count:
          if validate(_UpperCamelCase				):
               _SCREAMING_SNAKE_CASE							    =list_truncated_nums(_UpperCamelCase				)
               if all(is_prime(_UpperCamelCase				) for i in list_nums				):
                    list_truncated_primes.append(_UpperCamelCase				)
          num += 2
     return list_truncated_primes


def        _lowerCAmelCase					(						)      ->			int:
     """simple docstring"""




     return sum(compute_truncated_primes(11				)				)


if __name__ == "__main__":
     print(f'''{sum(compute_truncated_primes(1_1)) = }''')
