

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    :Optional[int]		):


       """simple docstring"""




       return EnvironmentCommand()




class     __snake_case    (				snake_case__  ):
       """simple docstring"""







       @staticmethod
       def 			a		(		_UpperCamelCase   )      ->							Optional[Any]:






              """simple docstring"""


              __snake_case       	=							parser.add_parser("""env"""   )
              download_parser.set_defaults(func=_UpperCamelCase   )


       def 			a		(		self   )      ->							Optional[int]:






              """simple docstring"""


              __snake_case       	=							huggingface_hub.__version__

              __snake_case       	=							"""not installed"""
              __snake_case       	=							"""NA"""
              if is_torch_available():
                     import torch

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

              __snake_case       	=							"""not installed"""
              if is_transformers_available():
                     import transformers

                     __snake_case       	=							transformers.__version__

              __snake_case       	=							"""not installed"""
              if is_accelerate_available():
                     import accelerate

                     __snake_case       	=							accelerate.__version__

              __snake_case       	=							"""not installed"""
              if is_xformers_available():
                     import xformers

                     __snake_case       	=							xformers.__version__

              __snake_case       	=							{
                  """`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   )      ->							str:






              """simple docstring"""


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




from PIL import Image







def 						lowerCamelCase__      ( __A    :Image		):


       """simple docstring"""




       __snake_case	,    __snake_case       	=							image.size
       __snake_case       	=							0
       __snake_case       	=							image.load()
       for i in range(__A		):
              for j in range(__A		):
                     __snake_case       	=							pixels[j, i]
                     mean += pixel
       mean //= width * height

       for j in range(__A		):
              for i in range(__A		):
                     __snake_case       	=							2_5_5 if pixels[i, j] > mean else 0
       return image


if __name__ == "__main__":
    UpperCamelCase__		 =     mean_threshold(Image.open('''path_to_image''').convert('''L'''))
    image.save('''output_image_path''')

