

'''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  UpperCAmelCase__      ( UpperCAmelCase__			)     ->     int:
       return EnvironmentCommand()







class    A__ ( _snake_case     ):



    @staticmethod
    def    snake_case_     (   UpperCamelCase__    )  -> Dict:





           '''simple docstring'''
           A_		   = parser.add_parser("""env"""    )
           download_parser.set_defaults(func=UpperCamelCase__    )



    def    snake_case_     (   self    )  -> Optional[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    snake_case_     (   UpperCamelCase__    )  -> str:





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



'''simple docstring'''







import math
import sys
def  UpperCAmelCase__      ( UpperCAmelCase__			)     ->     int:
       if number != int(UpperCAmelCase__			):
              raise ValueError("""the value of input must be a natural number"""			)
       if number < 0:
              raise ValueError("""the value of input must not be a negative number"""			)
       if number == 0:
              return 1
       A_		   = [-1] * (number + 1)
       A_		   = 0
       for i in range(1,    number + 1			):
              A_		   = sys.maxsize
              A_		   = int(math.sqrt(UpperCAmelCase__			)			)
              for j in range(1,    root + 1			):
                     A_		   = 1 + answers[i - (j**2)]
                     A_		   = min(UpperCAmelCase__,    UpperCAmelCase__			)
              A_		   = answer
       return answers[number]


if __name__ == "__main__":
      import doctest

      doctest.testmod()
