



'''simple docstring'''


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 				__lowerCamelCase				(   A__    )       ->	Dict:






   """simple docstring"""
   return EnvironmentCommand()

class  SCREAMING_SNAKE_CASE (  _a		):






    """simple docstring"""





    @staticmethod
    def  A       (  UpperCamelCase__      :					ArgumentParser ):


       """simple docstring"""







       UpperCamelCase					=  parser.add_parser('env' )
       download_parser.set_defaults(func=UpperCamelCase__ )






    def  A       (  self      :					Tuple ):


       """simple docstring"""







       UpperCamelCase					=  huggingface_hub.__version__

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

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

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

          UpperCamelCase					=  transformers.__version__

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

          UpperCamelCase					=  accelerate.__version__

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

          UpperCamelCase					=  xformers.__version__

       UpperCamelCase					=  {
           '`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(UpperCamelCase__ ) )

       return info






    @staticmethod
    def  A       (  UpperCamelCase__      :					Dict ):


       """simple docstring"""







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






'''simple docstring'''


def 				__lowerCamelCase				(   A__    )       ->	list:






   """simple docstring"""
   UpperCamelCase					=  len(A__    )
   for i in range(1    ,						A__    ):
      UpperCamelCase					=  collection[i]
      UpperCamelCase					=  0
      UpperCamelCase					=  i - 1

      while low <= high:
         UpperCamelCase					=  (low + high) // 2
         if val < collection[mid]:
            UpperCamelCase					=  mid - 1
         else:
            UpperCamelCase					=  mid + 1
      for j in range(A__    ,						A__    ,						-1    ):
         UpperCamelCase					=  collection[j - 1]
      UpperCamelCase					=  val
   return collection


if __name__ == "__main__":
   _lowerCamelCase	:       int      	=	input("Enter numbers separated by a comma:\n").strip()
   _lowerCamelCase	:       Union[str, Any]      	=	[int(item) for item in user_input.split(",")]
   print(binary_insertion_sort(unsorted))

