


'''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 )		->					Dict:
							return EnvironmentCommand()






class 	a__       (							a__						):





							'''simple docstring'''






							@staticmethod
							def 						__SCREAMING_SNAKE_CASE							(	lowerCamelCase_     ) ->							int:
														lowerCAmelCase__      =			parser.add_parser('''env'''     )
														download_parser.set_defaults(func=lowerCamelCase_     )







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							int:
														lowerCAmelCase__      =			huggingface_hub.__version__

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

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

														lowerCAmelCase__      =			'''not installed'''
														if is_transformers_available():
																					import transformers

																					lowerCAmelCase__      =			transformers.__version__

														lowerCAmelCase__      =			'''not installed'''
														if is_accelerate_available():
																					import accelerate

																					lowerCAmelCase__      =			accelerate.__version__

														lowerCAmelCase__      =			'''not installed'''
														if is_xformers_available():
																					import xformers

																					lowerCAmelCase__      =			xformers.__version__

														lowerCAmelCase__      =			{
														    '''`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_     ) ->							List[Any]:
														return "\n".join([F"""- {prop}: {val}""" for prop, val in d.items()]     ) + "\n"



'''simple docstring'''






def       _snake_case     (  A )		->					int:
							return 1 if digit in (0, 1) else (digit * factorial(digit - 1 ))


def       _snake_case     (  A )		->					bool:
							lowerCAmelCase__      =			0
							lowerCAmelCase__      =			number
							while duplicate > 0:
														lowerCAmelCase__     ,      lowerCAmelCase__      =			divmod(A				,					10 )
														fact_sum += factorial(A )
							return fact_sum == number


if __name__ == "__main__":
		print('''Program to check whether a number is a Krisnamurthy Number or not.''')
		__UpperCAmelCase					       =							int(input('''Enter number: ''').strip())
		print(
		    f"""{number} is {'' if krishnamurthy(number) else 'not '}a Krishnamurthy Number."""
		)