"""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    lowercase_   (   _lowerCamelCase:	List[Any]						,   _lowerCamelCase:	Union[str, Any]=False      ) ->      Dict:



							'''simple docstring'''

							try:
														__lowerCamelCase					:		str		   =     os.environ[key]
							except KeyError:
														# KEY isn't set, default to `default`.
														__lowerCamelCase					:		Dict		   =     default
							else:
														# KEY is set, convert it to True or False.
														try:
																					__lowerCamelCase					:		str		   =     strtobool(_lowerCamelCase      )
														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    lowercase_   (   _lowerCamelCase:	str      ) ->      List[Any]:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	Tuple      ) ->      Optional[int]:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	Optional[int]      ) ->      Optional[Any]:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	List[str]      ) ->      Optional[Any]:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	List[Any]      ) ->      Any:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	Tuple      ) ->      Tuple:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	int      ) ->      Union[str, Any]:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	Any      ) ->      Optional[int]:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	Tuple      ) ->      Optional[int]:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	int      ) ->      Tuple:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	Dict      ) ->      Dict:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	Tuple      ) ->      str:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	Optional[Any]      ) ->      Tuple:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	Tuple      ) ->      Tuple:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	str      ) ->      Tuple:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	List[str]      ) ->      List[Any]:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	Tuple=None						,   _lowerCamelCase:	Dict=None      ) ->      List[Any]:



							'''simple docstring'''

							if test_case is None:
														return partial(_lowerCamelCase						,   version=_lowerCamelCase      )
							return unittest.skipUnless(is_torch_version(">="						,   _lowerCamelCase      )						,   F"""test requires torch version >= {version}"""      )(_lowerCamelCase      )


def    lowercase_   (   _lowerCamelCase:	List[str]      ) ->      int:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	Optional[Any]      ) ->      List[Any]:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	List[str]      ) ->      Optional[Any]:



							'''simple docstring'''

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


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


def    lowercase_   (   _lowerCamelCase:	Optional[int]      ) ->      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"						,   )(_lowerCamelCase      )
class  _snake_case     (					unittest.TestCase		):
						snake_case__			  =			True






						@classmethod
						def       lowerCamelCase__     (       cls      :			List[Any]    ):
													__lowerCamelCase					:		int		   =     tempfile.mkdtemp()






						@classmethod
						def       lowerCamelCase__     (       cls      :			Any    ):
													if os.path.exists(cls.tmpdir    ):
																				shutil.rmtree(cls.tmpdir    )







						def       lowerCamelCase__     (       self      :			str    ):
													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		):






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

class  _snake_case     (					unittest.TestCase		):






						def       lowerCamelCase__     (       self      :			Any							,					UpperCAmelCase      :			Union[mock.Mock, List[mock.Mock]]    ):
													__lowerCamelCase					:		Any		   =     mocks if isinstance(UpperCAmelCase							,					(tuple, list)    ) else [mocks]
													for m in self.mocks:
																				m.start()
																				self.addCleanup(m.stop    )


def    lowercase_   (   _lowerCamelCase:	int      ) ->      List[Any]:



							'''simple docstring'''

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






						def __init__(       self      :			Dict							,					UpperCAmelCase      :			Tuple							,					UpperCAmelCase      :			List[str]							,					UpperCAmelCase      :			Union[str, Any]    ):
													__lowerCamelCase					:		Optional[int]		   =     returncode
													__lowerCamelCase					:		str		   =     stdout
													__lowerCamelCase					:		Dict		   =     stderr


async def    lowercase_   (   _lowerCamelCase:	str						,   _lowerCamelCase:	Dict      ) ->      Union[str, Any]:



							'''simple docstring'''

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


async def    lowercase_   (   _lowerCamelCase:	Any						,   _lowerCamelCase:	List[str]=None						,   _lowerCamelCase:	Tuple=None						,   _lowerCamelCase:	List[str]=None						,   _lowerCamelCase:	List[Any]=False						,   _lowerCamelCase:	Dict=False      ) ->      _RunOutput:



							'''simple docstring'''

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

							__lowerCamelCase					:		int		   =     await asyncio.create_subprocess_exec(
							    cmd[0]						,   *cmd[1:]						,   stdin=_lowerCamelCase						,   stdout=asyncio.subprocess.PIPE						,   stderr=asyncio.subprocess.PIPE						,   env=_lowerCamelCase						,   )

							# 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					:		Dict		   =     []
							__lowerCamelCase					:		Optional[int]		   =     []

							def tee(_lowerCamelCase:	List[str]						,   _lowerCamelCase:	List[Any]						,   _lowerCamelCase:	Tuple						,   _lowerCamelCase:	Dict=""      ):
														__lowerCamelCase					:		Optional[Any]		   =     line.decode("utf-8"      ).rstrip()
														sink.append(_lowerCamelCase      )
														if not quiet:
																					print(_lowerCamelCase						,   _lowerCamelCase						,   file=_lowerCamelCase      )

    # XXX: the timeout doesn't seem to make any difference here
							await asyncio.wait(
							    [
							        asyncio.create_task(_read_stream(p.stdout						,   lambda _lowerCamelCase      : tee(_lowerCamelCase						,   _lowerCamelCase						,   sys.stdout						,   label="stdout:"      )      )      ),
							        asyncio.create_task(_read_stream(p.stderr						,   lambda _lowerCamelCase      : tee(_lowerCamelCase						,   _lowerCamelCase						,   sys.stderr						,   label="stderr:"      )      )      ),
							    ]						,   timeout=_lowerCamelCase						,   )
							return _RunOutput(await p.wait()						,   _lowerCamelCase						,   _lowerCamelCase      )


def    lowercase_   (   _lowerCamelCase:	Optional[Any]						,   _lowerCamelCase:	List[Any]=None						,   _lowerCamelCase:	List[Any]=None						,   _lowerCamelCase:	List[Any]=180						,   _lowerCamelCase:	List[str]=False						,   _lowerCamelCase:	Union[str, Any]=True      ) ->      _RunOutput:



							'''simple docstring'''

							__lowerCamelCase					:		int		   =     asyncio.get_event_loop()
							__lowerCamelCase					:		Optional[int]		   =     loop.run_until_complete(
							    _stream_subprocess(_lowerCamelCase						,   env=_lowerCamelCase						,   stdin=_lowerCamelCase						,   timeout=_lowerCamelCase						,   quiet=_lowerCamelCase						,   echo=_lowerCamelCase      )      )

							__lowerCamelCase					:		Tuple		   =     " ".join(_lowerCamelCase      )
							if result.returncode > 0:
														__lowerCamelCase					:		Dict		   =     "\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     (					a__		):
						pass


def    lowercase_   (   _lowerCamelCase:	List[str]						,   _lowerCamelCase:	str=False      ) ->      Tuple:



							'''simple docstring'''

							try:
														__lowerCamelCase					:		List[Any]		   =     subprocess.check_output(_lowerCamelCase						,   stderr=subprocess.STDOUT      )
														if return_stdout:
																					if hasattr(_lowerCamelCase						,   "decode"      ):
																												__lowerCamelCase					:		Dict		   =     output.decode("utf-8"      )
																					return output
							except subprocess.CalledProcessError as e:
														raise SubprocessCallException(
														    F"""Command `{" ".join(_lowerCamelCase      )}` failed with the following error:\n\n{e.output.decode()}"""      ) from e
"""simple docstring"""





import math


def    lowercase_   (   _lowerCamelCase:	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(_lowerCamelCase      ) + 1      )						,   6      ):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True


def    lowercase_   (   _lowerCamelCase:	int = 10001      ) ->      int:



							'''simple docstring'''

							try:
														__lowerCamelCase					:		Optional[int]		   =     int(_lowerCamelCase      )
							except (TypeError, ValueError):
														raise TypeError("Parameter nth must be int or castable to int."      ) from None
							if nth <= 0:
														raise ValueError("Parameter nth must be greater than or equal to one."      )
							__lowerCamelCase					:		list[int]		   =     []
							__lowerCamelCase					:		Tuple		   =     2
							while len(_lowerCamelCase      ) < nth:
														if is_prime(_lowerCamelCase      ):
																					primes.append(_lowerCamelCase      )
																					num += 1
														else:
																					num += 1
							return primes[len(_lowerCamelCase      ) - 1]


if __name__ == "__main__":
				print(F"""{solution() = }""")