


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 				UpperCAmelCase_					(							__snake_case=None						)     ->			str:







 """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=_a     ,						help='''The config file to use for the default values in the launching script.'''						)

 if subparsers is not None:
  parser.set_defaults(func=_a						)
 return parser
def 				UpperCAmelCase_					(							__snake_case						)     ->			Any:







 """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(_a						):
  _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(_a						),
     '''PyTorch NPU available''': str(_a						),
     '''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(_a     ,						_a						)
     else F"\t{accelerate_config}"
 )
 print(_a						)

 _lowercase							      =accelerate_config

 return info
def 				UpperCAmelCase_					(							)     ->			Any:







 """simple docstring"""


 _lowercase							      =env_command_parser()
 _lowercase							      =parser.parse_args()
 env_command(_a						)
 return 0


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







'''simple docstring'''







def 						snake_case_							(_a	:							str    ,   _a	:							str     ):
    UpperCAmelCase			       =		len(_a     ) + 1
    UpperCAmelCase			       =		len(_a     ) + 1

    # dp is a 2d matrix where dp[i][j] denotes whether prefix string of
    # length i of input_string matches with prefix string of length j of
    # given pattern.
    # "dp" stands for dynamic programming.
    UpperCAmelCase			       =		[[0 for i in range(_a     )] for j in range(_a     )]

    # since string of zero length match pattern of zero length
    UpperCAmelCase			       =		1

    # since pattern of zero length will never match with string of non-zero length
    for i in range(1    ,   _a     ):
        UpperCAmelCase			       =		0

    # since string of zero length will match with pattern where there
    # is at least one * alternatively
    for j in range(1    ,   _a     ):
        UpperCAmelCase			       =		dp[0][j - 2] if pattern[j - 1] == '''*''' else 0

    # now using bottom-up approach to find for all remaining lengths
    for i in range(1    ,   _a     ):
        for j in range(1    ,   _a     ):
            if input_string[i - 1] == pattern[j - 1] or pattern[j - 1] == ".":
                UpperCAmelCase			       =		dp[i - 1][j - 1]

            elif pattern[j - 1] == "*":
                if dp[i][j - 2] == 1:
                    UpperCAmelCase			       =		1
                elif pattern[j - 2] in (input_string[i - 1], "."):
                    UpperCAmelCase			       =		dp[i - 1][j]
                else:
                    UpperCAmelCase			       =		0
            else:
                UpperCAmelCase			       =		0

    return bool(dp[-1][-1]     )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   # inputing the strings
   # input_string = input("input a string :")
   # pattern = input("input a pattern :")

   A     ='aab'
   A     ='c*a*b'

   # using function to check whether given string matches the given pattern
   if match_pattern(input_string, pattern):
      print(f"""{input_string} matches the given pattern {pattern}""")
   else:
      print(f"""{input_string} does not match with the given pattern {pattern}""")




