




def     _SCREAMING_SNAKE_CASE    (							lowercase			: str			,							lowercase			: str  ):


      '''simple docstring'''



      lowerCamelCase_	  =					len(lowercase  ) + 1
      lowerCamelCase_	  =					len(lowercase  ) + 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.
      lowerCamelCase_	  =					[[0 for i in range(lowercase  )] for j in range(lowercase  )]

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

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

      # since string of zero length will match with pattern where there
      # is at least one * alternatively
      for j in range(1			,							lowercase  ):
            lowerCamelCase_	  =					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			,							lowercase  ):
            for j in range(1			,							lowercase  ):
                  if input_string[i - 1] == pattern[j - 1] or pattern[j - 1] == ".":
                        lowerCamelCase_	  =					dp[i - 1][j - 1]

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

 lowerCamelCase       :	Union[str, Any]									=     "aab"
 lowerCamelCase       :	Optional[Any]									=     "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}""")









import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import is_accelerate_available, is_torch_available, is_transformers_available, is_xformers_available
from . import BaseDiffusersCLICommand

def     _SCREAMING_SNAKE_CASE    (							lowercase			: Optional[Any]  ):


      '''simple docstring'''



      return EnvironmentCommand()







class 						A(		UpperCamelCase     ):



 '''simple docstring'''


 @staticmethod
 def        a__				(       A_      :						ArgumentParser						)     ->			str:

       """simple docstring"""






       lowerCamelCase_	  =					parser.add_parser('env'						)
       download_parser.set_defaults(func=A_						)

 def        a__				(       self      :						Optional[Any]						)     ->			Any:

       """simple docstring"""






       lowerCamelCase_	  =					huggingface_hub.__version__

       lowerCamelCase_	  =					'not installed'
       lowerCamelCase_	  =					'NA'
       if is_torch_available():
             import torch

             lowerCamelCase_	  =					torch.__version__
             lowerCamelCase_	  =					torch.cuda.is_available()

       lowerCamelCase_	  =					'not installed'
       if is_transformers_available():
             import transformers

             lowerCamelCase_	  =					transformers.__version__

       lowerCamelCase_	  =					'not installed'
       if is_accelerate_available():
             import accelerate

             lowerCamelCase_	  =					accelerate.__version__

       lowerCamelCase_	  =					'not installed'
       if is_xformers_available():
             import xformers

             lowerCamelCase_	  =					xformers.__version__

       lowerCamelCase_	  =					{
           '`diffusers` version': version,
           'Platform': platform.platform(),
           'Python version': platform.python_version(),
           'PyTorch version (GPU?)': f"""{pt_version} ({pt_cuda_available})""",
           'Huggingface_hub version': hub_version,
           'Transformers version': transformers_version,
           'Accelerate version': accelerate_version,
           'xFormers version': xformers_version,
           'Using GPU in script?': '<fill in>',
           'Using distributed or parallel set-up in script?': '<fill in>',
       }

       print('\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n'						)
       print(self.format_dict(A_						)						)

       return info





 @staticmethod
 def        a__				(       A_      :						Dict						)     ->			Any:

       """simple docstring"""






       return "\n".join([f"""- {prop}: {val}""" for prop, val in d.items()]						) + "\n"



