

"""simple docstring"""





# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os
import platform

import numpy as np
import psutil
import torch

from accelerate import __version__ as version
from accelerate.commands.config import default_config_file, load_config_from_file

from ..utils import is_npu_available, is_xpu_available




def   _A  (  UpperCamelCase_     :       Tuple=None)	->						Dict:
   '''simple docstring'''


   if subparsers is not None:
      __lowercase								=						subparsers.add_parser("env")
   else:
      __lowercase								=						argparse.ArgumentParser("Accelerate env command")

   parser.add_argument(
       "--config_file",			default=UpperCamelCase_,			help="The config file to use for the default values in the launching script.")

   if subparsers is not None:
      parser.set_defaults(func=UpperCamelCase_)
   return parser




def   _A  (  UpperCamelCase_     :       Union[str, Any])	->						Tuple:
   '''simple docstring'''


   __lowercase								=						torch.__version__
   __lowercase								=						torch.cuda.is_available()
   __lowercase								=						is_xpu_available()
   __lowercase								=						is_npu_available()

   __lowercase								=						"Not found"
   # Get the default from the config file.
   if args.config_file is not None or os.path.isfile(UpperCamelCase_):
      __lowercase								=						load_config_from_file(args.config_file).to_dict()

   __lowercase								=						{
       "`Accelerate` version": version,
       "Platform": platform.platform(),
       "Python version": platform.python_version(),
       "Numpy version": np.__version__,
       "PyTorch version (GPU?)": F"""{pt_version} ({pt_cuda_available})""",
       "PyTorch XPU available": str(UpperCamelCase_),
       "PyTorch NPU available": str(UpperCamelCase_),
       "System RAM": F"""{psutil.virtual_memory().total / 1024 ** 3:.2f} GB""",
   }
   if pt_cuda_available:
      __lowercase								=						torch.cuda.get_device_name()

   print("\nCopy-and-paste the text below in your GitHub issue\n")
   print("\n".join([F"""- {prop}: {val}""" for prop, val in info.items()]))

   print("- `Accelerate` default config:" if args.config_file is None else "- `Accelerate` config passed:")
   __lowercase								=						(
       "\n".join([F"""\t- {prop}: {val}""" for prop, val in accelerate_config.items()])
       if isinstance(UpperCamelCase_,			UpperCamelCase_)
       else F"""\t{accelerate_config}"""
   )
   print(UpperCamelCase_)

   __lowercase								=						accelerate_config

   return info




def   _A  (  )	->						int:
   '''simple docstring'''


   __lowercase								=						env_command_parser()
   __lowercase								=						parser.parse_args()
   env_command(UpperCamelCase_)
   return 0


if __name__ == "__main__":
   raise SystemExit(main())








def 				__lowerCamelCase						( UpperCAmelCase_						:		int = 1000						):




      """simple docstring"""





      a							,				a						:int 							=       1, 1
      a						:Any 							=       2
      while True:
            a						:Optional[int] 							=       0
            a						:str 							=       fa + fa
            a							,				a						:List[Any] 							=       fa, f
            index += 1
            for _ in str(UpperCAmelCase_						):
                  i += 1
            if i == n:
                  break
      return index


if __name__ == "__main__":
     print(solution(int(str(input()).strip())))





