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 			A__      (	snake_case_ :		Optional[int]      ):
 return EnvironmentCommand()






class 		_lowerCamelCase		(   UpperCamelCase_    ):
    @staticmethod
    def 						UpperCamelCase_				(  lowerCAmelCase   )       ->					int:
     SCREAMING_SNAKE_CASE__:   Dict=      parser.add_parser('''env'''   )
     download_parser.set_defaults(func=lowerCAmelCase   )
    def 						UpperCamelCase_				(  self   )       ->					int:
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      huggingface_hub.__version__

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

      SCREAMING_SNAKE_CASE__:   Any=      torch.__version__
      SCREAMING_SNAKE_CASE__:   Optional[Any]=      torch.cuda.is_available()

     SCREAMING_SNAKE_CASE__:   Optional[int]=      '''not installed'''
     if is_transformers_available():
      import transformers

      SCREAMING_SNAKE_CASE__:   Tuple=      transformers.__version__

     SCREAMING_SNAKE_CASE__:   Optional[int]=      '''not installed'''
     if is_accelerate_available():
      import accelerate

      SCREAMING_SNAKE_CASE__:   Optional[Any]=      accelerate.__version__

     SCREAMING_SNAKE_CASE__:   int=      '''not installed'''
     if is_xformers_available():
      import xformers

      SCREAMING_SNAKE_CASE__:   Any=      xformers.__version__

     SCREAMING_SNAKE_CASE__:   Optional[Any]=      {
         '''`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(lowerCAmelCase   )   )

     return info



    @staticmethod
    def 						UpperCamelCase_				(  lowerCAmelCase   )       ->					Tuple:
     return "\n".join([f'- {prop}: {val}' for prop, val in d.items()]   ) + "\n"


from ..utils import DummyObject, requires_backends






class 		_lowerCamelCase		(   metaclass=UpperCamelCase_    ):
    __a  =      ["torch", "scipy"]
    def __init__(  self , *lowerCAmelCase , **lowerCAmelCase   )       ->					Any:
     requires_backends(self , ['''torch''', '''scipy''']   )
    @classmethod
    def 						UpperCamelCase_				(  cls , *lowerCAmelCase , **lowerCAmelCase   )       ->					List[str]:
     requires_backends(cls , ['''torch''', '''scipy''']   )



    @classmethod
    def 						UpperCamelCase_				(  cls , *lowerCAmelCase , **lowerCAmelCase   )       ->					Tuple:
     requires_backends(cls , ['''torch''', '''scipy''']   )

