






__a      :       Tuple				  =   "\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

__a      :       List[Any]				  =   [{"type": "code", "content": INSTALL_CONTENT}]
__a      :       List[Any]				  =   {
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}












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   :			Any    )						->      Optional[int]:





    """simple docstring"""

    return EnvironmentCommand()






class       __lowercase      (	lowercase_  ):







     '''simple docstring'''




     @staticmethod
     def 		lowerCAmelCase_     (				UpperCamelCase_       :			ArgumentParser				):


         """simple docstring"""



         __A         =	parser.add_parser("""env"""				)
         download_parser.set_defaults(func=UpperCamelCase_				)




     def 		lowerCAmelCase_     (				self       :			Any				):


         """simple docstring"""



         __A         =	huggingface_hub.__version__

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

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

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

             __A         =	transformers.__version__

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

             __A         =	accelerate.__version__

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

             __A         =	xformers.__version__

         __A         =	{
             """`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 		lowerCAmelCase_     (				UpperCamelCase_       :			str				):


         """simple docstring"""



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




