


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		(				lowerCamelCase__						:		List[Any]   ,				lowerCamelCase__						:		List[str]=False	):





			'''simple docstring'''




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


UpperCAmelCase					:  Union[str, Any]			=						parse_flag_from_env("RUN_SLOW", default=False)






def      __lowerCamelCase		(				lowerCamelCase__						:		int	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		Tuple	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		List[str]	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		Tuple	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		List[str]	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		str	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		Tuple	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		str	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		Dict	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		Tuple	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		Dict	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		Optional[int]	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		int	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		Dict	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		Tuple	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		List[Any]	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		Dict=None   ,				lowerCamelCase__						:		Dict=None	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		str	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		List[str]	):





			'''simple docstring'''




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






def      __lowerCamelCase		(				lowerCamelCase__						:		str	):





			'''simple docstring'''




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


UpperCAmelCase					:  List[Any]			=						(
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)






def      __lowerCamelCase		(				lowerCamelCase__						:		List[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"""   ,				)(__snake_case	)







class     __lowercase    (				unittest.TestCase   ):



		"""simple docstring"""

		UpperCamelCase			: Union[str, Any]           =						True







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







					'''simple docstring'''







					lowerCamelCase  						=   tempfile.mkdtemp()







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







					'''simple docstring'''







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







		def  __A					(      self     )   ->      str:







					'''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     __lowercase    (				unittest.TestCase   ):



		"""simple docstring"""

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







					'''simple docstring'''







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







class     __lowercase    (				unittest.TestCase   ):



		"""simple docstring"""

		def  __A					(      self						,	A     )   ->      Any:







					'''simple docstring'''







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






def      __lowerCamelCase		(				lowerCamelCase__						:		int	):





			'''simple docstring'''




			lowerCamelCase  						=   AcceleratorState()
			lowerCamelCase  						=   tensor[None].clone().to(state.device	)
			lowerCamelCase  						=   gather(__snake_case	).cpu()
			lowerCamelCase  						=   tensor[0].cpu()
			for i in range(tensors.shape[0]	):
						if not torch.equal(tensors[i]   ,				__snake_case	):
									return False
			return True







class     __lowercase    :



		"""simple docstring"""

		def __init__(      self						,	A						,	A						,	A     )   ->      Any:







					'''simple docstring'''







					lowerCamelCase  						=   returncode
					lowerCamelCase  						=   stdout
					lowerCamelCase  						=   stderr






async def      __lowerCamelCase		(				lowerCamelCase__						:		Optional[Any]   ,				lowerCamelCase__						:		Optional[int]	):





			'''simple docstring'''




			while True:
						lowerCamelCase  						=   await stream.readline()
						if line:
									callback(__snake_case	)
						else:
									break






async def      __lowerCamelCase		(				lowerCamelCase__						:		Optional[int]   ,				lowerCamelCase__						:		Dict=None   ,				lowerCamelCase__						:		str=None   ,				lowerCamelCase__						:		Dict=None   ,				lowerCamelCase__						:		List[str]=False   ,				lowerCamelCase__						:		Optional[int]=False	):





			'''simple docstring'''




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

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

			# 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  						=   []
			lowerCamelCase  						=   []

			def tee(lowerCamelCase__						:		Dict   ,				lowerCamelCase__						:		Union[str, Any]   ,				lowerCamelCase__						:		Tuple   ,				lowerCamelCase__						:		Optional[int]=""	):
						lowerCamelCase  						=   line.decode("""utf-8"""	).rstrip()
						sink.append(__snake_case	)
						if not quiet:
									print(__snake_case   ,				__snake_case   ,				file=__snake_case	)

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






def      __lowerCamelCase		(				lowerCamelCase__						:		Optional[Any]   ,				lowerCamelCase__						:		List[Any]=None   ,				lowerCamelCase__						:		str=None   ,				lowerCamelCase__						:		Tuple=180   ,				lowerCamelCase__						:		Dict=False   ,				lowerCamelCase__						:		Optional[Any]=True	):





			'''simple docstring'''




			lowerCamelCase  						=   asyncio.get_event_loop()
			lowerCamelCase  						=   loop.run_until_complete(
			    _stream_subprocess(__snake_case   ,				env=__snake_case   ,				stdin=__snake_case   ,				timeout=__snake_case   ,				quiet=__snake_case   ,				echo=__snake_case	)	)

			lowerCamelCase  						=   ' '.join(__snake_case	)
			if result.returncode > 0:
						lowerCamelCase  						=   '\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    (				_snake_case   ):



		"""simple docstring"""

		pass






def      __lowerCamelCase		(				lowerCamelCase__						:		List[str]   ,				lowerCamelCase__						:		List[Any]=False	):





			'''simple docstring'''




			try:
						lowerCamelCase  						=   subprocess.check_output(__snake_case   ,				stderr=subprocess.STDOUT	)
						if return_stdout:
									if hasattr(__snake_case   ,				"""decode"""	):
												lowerCamelCase  						=   output.decode("""utf-8"""	)
									return output
			except subprocess.CalledProcessError as e:
						raise SubprocessCallException(
						    f'Command `{" ".join(__snake_case	)}` failed with the following error:\n\n{e.output.decode()}'	) from e









import os

# Precomputes a list of the 100 first triangular numbers
__UpperCAmelCase								=						[int(0.5 * n * (n + 1)) for n in range(1, 101)]




def      lowercase__      (     ):


					'''simple docstring'''


					UpperCAmelCase_    :      Any            =						os.path.dirname(os.path.realpath(__snake_case  )  )
					UpperCAmelCase_    :      Optional[Any]            =						os.path.join(__snake_case     ,       'words.txt'  )

					UpperCAmelCase_    :      Union[str, Any]            =						''
					with open(__snake_case  ) as f:
										UpperCAmelCase_    :      List[Any]            =						f.readline()

					UpperCAmelCase_    :      Optional[int]            =						[word.strip('"'  ) for word in words.strip('\r\n'  ).split(','  )]
					UpperCAmelCase_    :      Optional[int]            =						[
					    word
					    for word in [sum(ord(__snake_case  ) - 64 for x in word  ) for word in words]
					    if word in TRIANGULAR_NUMBERS
					]
					return len(__snake_case  )


if __name__ == "__main__":
		print(solution())






