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


__magic_name__            =  parse_flag_from_env('''RUN_SLOW''', default=False)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skip("Test was skipped"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(_run_slow_tests    ,		"test is slow"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(not torch.cuda.is_available()    ,		"test requires only a CPU"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(torch.cuda.is_available()    ,		"test requires a GPU"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(is_xpu_available()    ,		"test requires a XPU"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(is_mps_available()    ,		"test requires a `mps` backend support in `torch`"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(
        is_transformers_available() and is_datasets_available()    ,		"test requires the Hugging Face suite"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(is_bnb_available()    ,		"test requires the bitsandbytes library"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(is_tpu_available()    ,		"test requires TPU"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(torch.cuda.device_count() == 1    ,		"test requires a GPU"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(torch.xpu.device_count() == 1    ,		"test requires a XPU"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(torch.cuda.device_count() > 1    ,		"test requires multiple GPUs"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(torch.xpu.device_count() > 1    ,		"test requires multiple XPUs"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(is_safetensors_available()    ,		"test requires safetensors"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(is_deepspeed_available()    ,		"test requires DeepSpeed"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(is_torch_version(">="    ,		"1.12.0"							)    ,		"test requires torch version >= 1.12.0"							)(__A							)





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





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(is_tensorboard_available()    ,		"test requires Tensorboard"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(is_wandb_available()    ,		"test requires wandb"							)(__A							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(is_comet_ml_available()    ,		"test requires comet_ml"							)(__A							)


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





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return unittest.skipUnless(
        _atleast_one_tracker_available    ,		"test requires at least one tracker to be available and for `comet_ml` to not be installed"    ,		)(__A							)
class 					_SCREAMING_SNAKE_CASE  (      unittest.TestCase ):
      _A						:		Tuple    	=     True
      @classmethod
      def A_			(			cls ):
          snake_case__						=				tempfile.mkdtemp()
      @classmethod
      def A_			(			cls ):


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



      def A_			(			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(_UpperCamelCase )





class 					_SCREAMING_SNAKE_CASE  (      unittest.TestCase ):
      def A_			(			self ):
          super().tearDown()
          # Reset the state of the AcceleratorState singleton.
          AcceleratorState._reset_state()
          PartialState._reset_state()





class 					_SCREAMING_SNAKE_CASE  (      unittest.TestCase ):
      def A_			(			self		,	lowerCamelCase ):
          snake_case__						=				mocks if isinstance(_UpperCamelCase		,	(tuple, list) ) else [mocks]
          for m in self.mocks:
              m.start()
              self.addCleanup(m.stop )





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    snake_case__						=				AcceleratorState()
    snake_case__						=				tensor[None].clone().to(state.device							)
    snake_case__						=				gather(__A							).cpu()
    snake_case__						=				tensor[0].cpu()
    for i in range(tensors.shape[0]							):
        if not torch.equal(tensors[i]    ,		__A							):
            return False
    return True
class 					_SCREAMING_SNAKE_CASE  :
      def __init__(			self		,	lowerCamelCase		,	lowerCamelCase		,	lowerCamelCase ):
          snake_case__						=				returncode
          snake_case__						=				stdout
          snake_case__						=				stderr





async def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase							):
    while True:
        snake_case__						=				await stream.readline()
        if line:
            callback(__A							)
        else:
            break





async def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase=None    ,		__lowerCAmelCase=None    ,		__lowerCAmelCase=None    ,		__lowerCAmelCase=False    ,		__lowerCAmelCase=False							):
    if echo:
        print("\nRunning: "    ,		" ".join(__A							)							)

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

    # 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)

    snake_case__						=				[]
    snake_case__						=				[]

    def tee(__lowerCAmelCase    ,		__lowerCAmelCase    ,		__lowerCAmelCase    ,		__lowerCAmelCase=""							):
        snake_case__						=				line.decode("utf-8"							).rstrip()
        sink.append(__A							)
        if not quiet:
            print(__A    ,		__A    ,		file=__A							)

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





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase=None    ,		__lowerCAmelCase=None    ,		__lowerCAmelCase=180    ,		__lowerCAmelCase=False    ,		__lowerCAmelCase=True							):
    snake_case__						=				asyncio.get_event_loop()
    snake_case__						=				loop.run_until_complete(
        _stream_subprocess(__A    ,		env=__A    ,		stdin=__A    ,		timeout=__A    ,		quiet=__A    ,		echo=__A							)							)

    snake_case__						=				""" """.join(__A							)
    if result.returncode > 0:
        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 					_SCREAMING_SNAKE_CASE  (      __lowerCAmelCase ):
      pass





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase=False							):
    try:
        snake_case__						=				subprocess.check_output(__A    ,		stderr=subprocess.STDOUT							)
        if return_stdout:
            if hasattr(__A    ,		"decode"							):
                snake_case__						=				output.decode("utf-8"							)
            return output
    except subprocess.CalledProcessError as e:
        raise SubprocessCallException(
            F"""Command `{" ".join(__A							)}` failed with the following error:\n\n{e.output.decode()}"""							) from e





from math import factorial





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase = 100							):
    return sum(int(__lowerCAmelCase							) for x in str(factorial(__lowerCAmelCase							)							)							)


if __name__ == "__main__":
     print(solution(int(input('''Enter the Number: ''').strip())))



