



"""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 	snake_case_  (				A_ :		Union[str, Any]						):


       '''simple docstring'''





       return EnvironmentCommand()







class 	__snake_case	(     _lowercase):




  @staticmethod
  def 						SCREAMING_SNAKE_CASE    (			__lowerCAmelCase					:						ArgumentParser		):






         """simple docstring"""






         _lowerCamelCase						:    int         =			parser.add_parser('''env'''		)
         download_parser.set_defaults(func=__lowerCAmelCase		)




  def 						SCREAMING_SNAKE_CASE    (			self					:						Tuple		):






         """simple docstring"""






         _lowerCamelCase						:    Optional[Any]         =			huggingface_hub.__version__

         _lowerCamelCase						:    Union[str, Any]         =			'''not installed'''
         _lowerCamelCase						:    str         =			'''NA'''
         if is_torch_available():
                import torch

                _lowerCamelCase						:    List[str]         =			torch.__version__
                _lowerCamelCase						:    List[Any]         =			torch.cuda.is_available()

         _lowerCamelCase						:    Union[str, Any]         =			'''not installed'''
         if is_transformers_available():
                import transformers

                _lowerCamelCase						:    Dict         =			transformers.__version__

         _lowerCamelCase						:    Tuple         =			'''not installed'''
         if is_accelerate_available():
                import accelerate

                _lowerCamelCase						:    Optional[Any]         =			accelerate.__version__

         _lowerCamelCase						:    List[Any]         =			'''not installed'''
         if is_xformers_available():
                import xformers

                _lowerCamelCase						:    List[str]         =			xformers.__version__

         _lowerCamelCase						:    Dict         =			{
             '''`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 						SCREAMING_SNAKE_CASE    (			__lowerCAmelCase					:						Optional[int]		):






         """simple docstring"""






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







"""simple docstring"""






from maths.prime_factors import prime_factors






def 	snake_case_  (				A_ :		int						):


       '''simple docstring'''





       if not isinstance(A_,    A_						):
              _lowerCamelCase						:    str         =			F'''Input value of [number={number}] must be an integer'''
              raise TypeError(A_						)
       if number < 1:
              raise ValueError('''Input must be a positive integer'''						)
       return -1 if len(prime_factors(A_						)						) % 2 else 1


if __name__ == "__main__":
   import doctest

   doctest.testmod()


