






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        SCREAMING_SNAKE_CASE       (      lowerCamelCase_):
					return EnvironmentCommand()







class        _SCREAMING_SNAKE_CASE						(  __snake_case							):





							"""simple docstring"""





							@staticmethod
							def  lowercase		(   __A:     ArgumentParser    ):

												'''simple docstring'''

												a__          =  parser.add_parser('''env'''    )
												download_parser.set_defaults(func=lowercase_    )




							def  lowercase		(   self:     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(lowercase_    )    )

												return info





							@staticmethod
							def  lowercase		(   __A:     str    ):

												'''simple docstring'''

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










"""simple docstring"""







def        SCREAMING_SNAKE_CASE       (      lowerCamelCase_):
					assert column_title.isupper()
					a__          =  0
					a__          =  len(lowerCamelCase_) - 1
					a__          =  0

					while index >= 0:
										a__          =  (ord(column_title[index]) - 64) * pow(26 ,     lowerCamelCase_)
										answer += value
										power += 1
										index -= 1

					return answer


if __name__ == "__main__":
	from doctest import testmod

	testmod()


