






"""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_( SCREAMING_SNAKE_CASE					)					->	List[Any]:
    """simple docstring"""

    return EnvironmentCommand()





class    __lowerCamelCase    (  _a  ):

   @staticmethod
   def 						SCREAMING_SNAKE_CASE__ (					snake_case_      )		->       List[str]:
       UpperCamelCase__         =    parser.add_parser('env'      )
       download_parser.set_defaults(func=snake_case_      )

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       List[Any]:
       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(snake_case_      )      )

       return info







   @staticmethod
   def 						SCREAMING_SNAKE_CASE__ (					snake_case_      )		->       int:
       return "\n".join([F'- {prop}: {val}' for prop, val in d.items()]      ) + "\n"












"""simple docstring"""





def   lowerCAmelCase_( SCREAMING_SNAKE_CASE = 50_00_00_00					)					->	int:
    """simple docstring"""

    UpperCamelCase__         =    set()
    UpperCamelCase__         =    int((limit - 24) ** (1 / 2)					)

    UpperCamelCase__         =    set(range(3 ,	prime_square_limit + 1 ,	2					)					)
    primes.add(2					)
    for p in range(3 ,	prime_square_limit + 1 ,	2					):
        if p not in primes:
            continue
        primes.difference_update(set(range(p * p ,	prime_square_limit + 1 ,	SCREAMING_SNAKE_CASE					)					)					)

    for primea in primes:
        UpperCamelCase__         =    primea * primea
        for primea in primes:
            UpperCamelCase__         =    primea * primea * primea
            if square + cube >= limit - 16:
                break
            for primea in primes:
                UpperCamelCase__         =    primea * primea * primea * primea
                UpperCamelCase__         =    square + cube + tetr
                if total >= limit:
                    break
                ret.add(SCREAMING_SNAKE_CASE					)

    return len(SCREAMING_SNAKE_CASE					)


if __name__ == "__main__":
  print(F"""{solution() = }""")




